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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ptep</journal-id>
<journal-title-group>
<journal-title>Progress of Theoretical and Experimental Physics</journal-title>
</journal-title-group>
<issn pub-type="epub">2050-3911</issn>
<publisher>
<publisher-name>Oxford University Press</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1093/ptep/ptaa168</article-id>
<article-id pub-id-type="publisher-id">ptaa168</article-id>
<article-id pub-id-type="arxiv">arXiv:2007.08485</article-id>
<article-categories>
<subj-group subj-group-type="category-toc-heading">
<subject>Papers</subject>
<subj-group subj-group-type="category-toc-heading">
<subject>Theoretical Particle Physics</subject>
</subj-group>
</subj-group>
<subj-group subj-group-type="category-taxonomy-collection">
<subject>PTEP/B25</subject>
<subject>PTEP/B83</subject>
</subj-group>
<subj-group subj-group-type="category-taxonomy-collection">
<subject>AcademicSubjects/SCI01970</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>IIB matrix model: Emergent spacetime from the master field</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
  <name><surname>Klinkhamer</surname> <given-names>F R</given-names></name><xref ref-type="corresp" rid="COR1"/>
<email xlink:type="simple">frans.klinkhamer@kit.edu</email><xref ref-type="aff" rid="AFF1"/>
</contrib>
</contrib-group>
<aff id="AFF1"><institution>Institute for Theoretical Physics, Karlsruhe Institute of Technology (KIT)</institution>, 76128 Karlsruhe, Germany</aff>
<author-notes>
<corresp id="COR1">E-mail: <email>frans.klinkhamer@kit.edu</email></corresp>
</author-notes>
<pub-date pub-type="cover" iso-8601-date="2021-01-01"><month>01</month><year>2021</year></pub-date>
<pub-date pub-type="collection" iso-8601-date="2021-01-26"><day>26</day><month>01</month><year>2021</year></pub-date>
<pub-date pub-type="epub" iso-8601-date="2020-11-28"><day>28</day><month>11</month><year>2020</year></pub-date>
<volume>2021</volume>
<issue>1</issue>
<elocation-id>013B04</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>09</month>
<year>2020</year>
</date>
<date date-type="rev-recd">
<day>09</day>
<month>11</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>11</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; The Author(s) 2020. Published by Oxford University Press on behalf of the Physical Society of Japan.</copyright-statement>
<copyright-year>2020</copyright-year>
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<license-p>Funded by SCOAP<sup>3</sup></license-p>
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<self-uri xlink:href="ptaa168.pdf"/>
<abstract abstract-type="abstract">
<title>Abstract</title>
<p>We argue that the large-<inline-formula><tex-math notation="LaTeX" id="ImEquation1"><![CDATA[$N$]]></tex-math></inline-formula> master field of the Lorentzian IIB matrix model can give the points and metric of a classical spacetime.</p>
</abstract>
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<kwd>B25</kwd>
<kwd>B83</kwd>
</kwd-group>
<funding-group>
<award-group award-type="grant">
<funding-source><institution-wrap><institution>SCOAP</institution></institution-wrap></funding-source>
</award-group>
</funding-group>
<counts>
<page-count count="13"/>
</counts>
</article-meta>
</front>
<body>
<sec id="SEC1"><title>1. Introduction</title>
<p>The IIB matrix model [<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref>] has been suggested as a nonperturbative formulation of type-IIB superstring theory. First results on the partition function of the Euclidean IIB matrix model were reported in Refs. [<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref>]. Later, numerical simulations [<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>] of the Lorentzian IIB matrix model suggested the appearance of a <inline-formula><tex-math notation="LaTeX" id="ImEquation2"><![CDATA[$3+6$]]></tex-math></inline-formula> split of the nine spatial dimensions (matching Euclidean results were presented in Ref. [<xref ref-type="bibr" rid="B8">8</xref>]). Still, the physical interpretation of the emergence of a classical spacetime in Refs. [<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>] is not really satisfactory, because there is no manifest small dimensionless parameter to motivate a saddle-point approximation.</p>
<p>Recently, we have revived an old idea, the large-<inline-formula><tex-math notation="LaTeX" id="ImEquation3"><![CDATA[$N$]]></tex-math></inline-formula> master field of Witten [<xref ref-type="bibr" rid="B9">9</xref>], for a possible origin of classical spacetime in the context of the IIB matrix model; see Appendix B in the earlier preprint version [<xref ref-type="bibr" rid="B10">10</xref>] of Ref. [<xref ref-type="bibr" rid="B11">11</xref>]. But we did not give any details about where precisely in the master field the classical spacetime is encoded. In the present paper, we try to be more explicit.</p>
<p>Before we set out on our search for classical spacetime in the IIB matrix model, we have five preliminary remarks. First, we take the Lorentzian signature in the IIB matrix model, because it is not clear how to interpret an emerging Euclidean &#x201C;spacetime&#x201D; from the Euclidean IIB matrix model. Second, our discussion of the Lorentzian path integrals will be strictly formal, omitting all convergence issues. Third, we introduce a length scale &#x201C;<inline-formula><tex-math notation="LaTeX" id="ImEquation4"><![CDATA[$\ell$]]></tex-math></inline-formula>&#x201D; into the IIB matrix model, in order to give the dimension of length to the bosonic matrix variable. Fourth, such a length scale &#x201C;<inline-formula><tex-math notation="LaTeX" id="ImEquation5"><![CDATA[$\ell$]]></tex-math></inline-formula>&#x201D; may enter the effective metric of the regularized big bang singularity [<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>]. Fifth, the focus of the present paper is solely on the IIB matrix model, but it is possible that some of our results could carry over to other matrix models [<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>].</p>
<p>We will now start by recalling the IIB matrix model and the concept of the master field, and will then turn to the emergence of the spacetime points and the spacetime metric.</p>
</sec>
<sec id="SEC2"><title>2. Model</title>
<p>The action of the Lorentzian IIB matrix model is given by [<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref>]
<disp-formula id="ptaa168M1a"><label>(1a)</label><tex-math notation="LaTeX" id="Equation1"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-action}
S[A,\Psi] &=&
S_{b}[A]+S_{f}[A,\Psi]
\nonumber\\
&=&
\text{Tr}\, \Bigg(
\frac{1}{4}\,\big[ A^{\,\mu} ,\,A^{\nu}    \big]\,
             \big[ A^{\kappa},\,A^{\lambda} \big]\,
             \widetilde{\eta}_{\mu\kappa}\,\widetilde{\eta}_{\nu\lambda}
+\frac{1}{2}\, \overline{\Psi}_{\beta}\,
\widetilde{\Gamma}^{\,\mu}_{\beta\alpha}\,\,\widetilde{\eta}_{\mu\nu}
\big[ A^{\nu},\,\Psi_{\alpha} \big]\,
\Bigg),
\\[2mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M1b"><label>(1b)</label><tex-math notation="LaTeX" id="Equation2"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-etamunu}
\widetilde{\eta}_{\mu\nu} &=&
\Big[ \text{diag}
\left(  -1,\,  1,\ldots,1 \right)
\Big]_{\mu\nu},
\end{eqnarray}
$$]]></tex-math></disp-formula>
with vector indices <inline-formula><tex-math notation="LaTeX" id="ImEquation6"><![CDATA[$\mu,\nu,\kappa,\lambda \in \{0,\,  1,\ldots,9\} $]]></tex-math></inline-formula> and spinor indices <inline-formula><tex-math notation="LaTeX" id="ImEquation7"><![CDATA[$\alpha,\beta \in \{1,\,  2,\ldots,32\}$]]></tex-math></inline-formula>. The vector <inline-formula><tex-math notation="LaTeX" id="ImEquation8"><![CDATA[$A^{\,\mu}$]]></tex-math></inline-formula> and the Majorana&#x2013;Weyl spinor <inline-formula><tex-math notation="LaTeX" id="ImEquation9"><![CDATA[$\Psi_{\alpha}$]]></tex-math></inline-formula> are both <inline-formula><tex-math notation="LaTeX" id="ImEquation10"><![CDATA[$N \times N$]]></tex-math></inline-formula> traceless Hermitian matrices. They live in a 10D spacetime consisting of a single point, a special case of the Eguchi&#x2013;Kawai reduction [<xref ref-type="bibr" rid="B19">19</xref>] operative in the large-<inline-formula><tex-math notation="LaTeX" id="ImEquation11"><![CDATA[$N$]]></tex-math></inline-formula> limit of certain field theories; see Ref. [<xref ref-type="bibr" rid="B20">20</xref>] for a review.</p>
<p>The action (<xref ref-type="disp-formula" rid="ptaa168M1a">1</xref>) is invariant under the following global gauge transformation:
<disp-formula id="ptaa168M2a"><label>(2a)</label><tex-math notation="LaTeX" id="Equation3"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-global-gauge-transformation-A}
A^{\,\mu} &\to&  \Omega\, A^{\,\mu}\,\Omega^{\dagger},
\\[2mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M2b"><label>(2b)</label><tex-math notation="LaTeX" id="Equation4"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-global-gauge-transformation-Psi}
\Psi_{\alpha} &\to&  \Omega\, \Psi_{\alpha}\,\Omega^{\dagger},
\\[2mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M2c"><label>(2c)</label><tex-math notation="LaTeX" id="Equation5"><![CDATA[$$
\begin{eqnarray}
\Omega &\in&  SU(N).
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>In addition, there is <inline-formula><tex-math notation="LaTeX" id="ImEquation12"><![CDATA[$SO(1,\,9)$]]></tex-math></inline-formula> Lorentz invariance and an <inline-formula><tex-math notation="LaTeX" id="ImEquation13"><![CDATA[$\mathcal{N}=2$]]></tex-math></inline-formula> supersymmetry [<xref ref-type="bibr" rid="B2">2</xref>].</p>
<p>The partition function <inline-formula><tex-math notation="LaTeX" id="ImEquation14"><![CDATA[$Z$]]></tex-math></inline-formula> is defined by the following Lorentzian &#x201C;path&#x201D; integral [<xref ref-type="bibr" rid="B5">5</xref>]:
<disp-formula id="ptaa168M3"><label>(3)</label><tex-math notation="LaTeX" id="Equation6"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-ZwithSgeneral}
Z &=&\int dA\,d\Psi\exp\left(i\,S[A,\Psi]/ \ell^4\,\right)\!.
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>Here, we have introduced a length scale &#x201C;<inline-formula><tex-math notation="LaTeX" id="ImEquation15"><![CDATA[$\ell$]]></tex-math></inline-formula>&#x201D;, so that <inline-formula><tex-math notation="LaTeX" id="ImEquation16"><![CDATA[$A^{\,\mu}$]]></tex-math></inline-formula> from Eq. (<xref ref-type="disp-formula" rid="ptaa168M1a">1</xref>) must have the dimension of length and <inline-formula><tex-math notation="LaTeX" id="ImEquation17"><![CDATA[$\Psi_{\alpha}$]]></tex-math></inline-formula> the dimension of <inline-formula><tex-math notation="LaTeX" id="ImEquation18"><![CDATA[$(\text{length})^{3/2}$]]></tex-math></inline-formula>.</p>
<p>The length scale &#x201C;<inline-formula><tex-math notation="LaTeX" id="ImEquation19"><![CDATA[$\ell$]]></tex-math></inline-formula>&#x201D; is solely introduced to simplify the physics discussion later on and can be removed by considering dimensionless variables <inline-formula><tex-math notation="LaTeX" id="ImEquation20"><![CDATA[$A^{\prime}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation21"><![CDATA[$\Psi^{\prime}$]]></tex-math></inline-formula>. The IIB-matrix-model path integral (<xref ref-type="disp-formula" rid="ptaa168M3">3</xref>) in terms of dimensionless variables <inline-formula><tex-math notation="LaTeX" id="ImEquation22"><![CDATA[$A^{\prime}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation23"><![CDATA[$\Psi^{\prime}$]]></tex-math></inline-formula> has, as emphasized in Appendix B of Ref. [<xref ref-type="bibr" rid="B10">10</xref>], no obvious small dimensionless parameter and, therefore, no obvious saddle-point approximation.</p>
<p>As the fermions appear quadratically in the action, they can be integrated out [<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref>] and the partition function becomes
<disp-formula id="ptaa168M4a"><label>(4a)</label><tex-math notation="LaTeX" id="Equation7"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-ZwithSeff}
Z &=&\int dA\exp\left(i\,S_\text{eff}[A]/ \ell^4\,\right) ,
\end{eqnarray}
$$]]></tex-math></disp-formula>
with an effective action
<disp-formula id="ptaa168M4b"><label>(4b)</label><tex-math notation="LaTeX" id="Equation8"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-Seff}
S_\text{eff}[A]&=&S_{b}[A]+S_\text{induced}[A].
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>For completeness, we mention that the integration measure <inline-formula><tex-math notation="LaTeX" id="ImEquation24"><![CDATA[$dA$]]></tex-math></inline-formula> in Eqs. (<xref ref-type="disp-formula" rid="ptaa168M3">3</xref>) and (<xref ref-type="disp-formula" rid="ptaa168M4a">4a</xref>) is standard [<xref ref-type="bibr" rid="B21">21</xref>], except for the restriction to tracelessness.</p>
</sec>
<sec id="SEC3"><title>3. Master field</title>
<p>A particular gauge-invariant bosonic observable is given by
<disp-formula id="ptaa168M5"><label>(5)</label><tex-math notation="LaTeX" id="Equation9"><![CDATA[$$
\begin{equation} \label{eq:IIB-matrix-model-w-observable}
w^{\mu_{1} \cdots \mu_{m}}
=
\text{Tr}\,\big( A^{\mu_{1}} \cdots A^{\mu_{m}}\big).
\end{equation}
$$]]></tex-math></disp-formula></p>
<p>Its expectation values are given by the following Lorentzian path integrals:
<disp-formula id="ptaa168M6"><label>(6)</label><tex-math notation="LaTeX" id="Equation10"><![CDATA[$$
\begin{equation} \label{eq:IIB-matrix-model-w-product-vev}
\langle
w^{\mu_{1}\cdots\mu_{m}}\;w^{\nu_{1}\cdots\nu_{n}} \cdots \rangle
=
Z^{-1}\,\int dA\;
\big(w^{\mu_{1}\cdots\mu_{m}}\;w^{\nu_{1}\cdots\nu_{n}} \cdots\big)
\exp\left[i\,S_\text{eff}/ \ell^4\,\right],
\end{equation}
$$]]></tex-math></disp-formula>
with normalization factor <inline-formula><tex-math notation="LaTeX" id="ImEquation25"><![CDATA[$Z$]]></tex-math></inline-formula> from Eq. (<xref ref-type="disp-formula" rid="ptaa168M4a">4</xref>).</p>
<p>The expectation values (<xref ref-type="disp-formula" rid="ptaa168M6">6</xref>) have the following factorization property:
<disp-formula id="ptaa168M7"><label>(7)</label><tex-math notation="LaTeX" id="Equation11"><![CDATA[$$
\begin{equation} \label{eq:IIB-matrix-model-w-product-factorization}
\langle w^{\mu_{1}\cdots\mu_{m}}\;
        w^{\nu_{1}\cdots\nu_{n}}
        \cdots
        w^{\omega_{1}\cdots\omega_{z}} \rangle
\stackrel{N}{=}
\langle w^{\mu_{1}\cdots\mu_{m}}\rangle\;
\langle w^{\nu_{1}\cdots\nu_{n}}\rangle\cdots
\langle w^{\omega_{1}\cdots\omega_{z}} \rangle,
\end{equation}
$$]]></tex-math></disp-formula>
which holds to leading order in <inline-formula><tex-math notation="LaTeX" id="ImEquation26"><![CDATA[$N$]]></tex-math></inline-formula> (see Sect. III A of Ref. [<xref ref-type="bibr" rid="B20">20</xref>] for further discussion). From Eq. (<xref ref-type="disp-formula" rid="ptaa168M7">7</xref>) follows the result that, to leading order in <inline-formula><tex-math notation="LaTeX" id="ImEquation27"><![CDATA[$N$]]></tex-math></inline-formula>, the expectation value of the square of <inline-formula><tex-math notation="LaTeX" id="ImEquation28"><![CDATA[$w$]]></tex-math></inline-formula> equals the square of the expectation value of <inline-formula><tex-math notation="LaTeX" id="ImEquation29"><![CDATA[$w$]]></tex-math></inline-formula>,
<disp-formula id="ptaa168M8"><label>(8)</label><tex-math notation="LaTeX" id="Equation12"><![CDATA[$$
\begin{equation}\label{eq:IIB-matrix-w-square-vev}
\langle \, \big(w^{\mu_{1}\cdots\mu_{m}} \big)^{2} \, \rangle
\stackrel{N}{=}
\big(\,\langle w^{\mu_{1}\cdots\mu_{m}}  \rangle\, \big)^{2} ,
\end{equation}
$$]]></tex-math></disp-formula>
which is a truly remarkable result for a statistical (quantum) theory.</p>
<p>According to Witten [<xref ref-type="bibr" rid="B9">9</xref>], the factorization results (<xref ref-type="disp-formula" rid="ptaa168M7">7</xref>) and (<xref ref-type="disp-formula" rid="ptaa168M8">8</xref>) imply that the path integrals (<xref ref-type="disp-formula" rid="ptaa168M6">6</xref>) are saturated by a <italic>single</italic> configuration, the master field <inline-formula><tex-math notation="LaTeX" id="ImEquation30"><![CDATA[$\skew6\widehat{A}^{\,\mu}$]]></tex-math></inline-formula>. For just one observable <inline-formula><tex-math notation="LaTeX" id="ImEquation31"><![CDATA[$w$]]></tex-math></inline-formula> from Eq. (<xref ref-type="disp-formula" rid="ptaa168M5">5</xref>) and its expectation value (&#x201C;Wilson loop&#x201D;), we then have
<disp-formula id="ptaa168M9"><label>(9)</label><tex-math notation="LaTeX" id="Equation13"><![CDATA[$$
\begin{equation}\label{eq:IIB-matrix-model-observable-from-master-field}
\langle w^{\mu_{1}\cdots \mu_{m}} \rangle
\stackrel{N}{=}
\text{Tr}\,\Big( \skew6\widehat{A}^{\,\mu_{1}} \cdots \skew6\widehat{A}^{\,\mu_{m}}\Big).
\end{equation}
$$]]></tex-math></disp-formula></p>
<p>In principle, it is possible that there is more than one master field, as long as these master fields give, in the large-<inline-formula><tex-math notation="LaTeX" id="ImEquation32"><![CDATA[$N$]]></tex-math></inline-formula> limit, exactly the same results for all possible observables of the type (<xref ref-type="disp-formula" rid="ptaa168M5">5</xref>). For simplicity, we will talk, in the following, about a single master field.</p>
<p>The explicit expression for the IIB-matrix-model master field <inline-formula><tex-math notation="LaTeX" id="ImEquation33"><![CDATA[$\skew6\widehat{A}^{\,\mu}$]]></tex-math></inline-formula> is not known, but it is possible to give an <italic>algebraic equation</italic> for it. Based on previous work by Greensite and Halpern [<xref ref-type="bibr" rid="B22">22</xref>], the IIB-matrix-model master field takes the following form [<xref ref-type="bibr" rid="B10">10</xref>]:
<disp-formula id="ptaa168M10a"><label>(10a)</label><tex-math notation="LaTeX" id="Equation14"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-master-field}
\skew6\widehat{A}^{\,\mu}_{\;ab}(\tau_\text{eq})
&=&
\exp\big[i\,(\widehat{p}_{a}-\widehat{p}_{b})\,\tau_\text{eq}\big]\;\,
\widehat{a}^{\,\mu}_{\;ab},
\end{eqnarray}
$$]]></tex-math></disp-formula>
where <inline-formula><tex-math notation="LaTeX" id="ImEquation34"><![CDATA[$\tau_\text{eq}$]]></tex-math></inline-formula> must have a sufficiently large value (it traces back to the fictitious Langevin time <inline-formula><tex-math notation="LaTeX" id="ImEquation35"><![CDATA[$\tau$]]></tex-math></inline-formula> of stochastic quantization) and where the <inline-formula><tex-math notation="LaTeX" id="ImEquation36"><![CDATA[$\tau$]]></tex-math></inline-formula>-independent matrix <inline-formula><tex-math notation="LaTeX" id="ImEquation37"><![CDATA[$\widehat{a}^{\,\mu}$]]></tex-math></inline-formula> on the right-hand side solves the following algebraic equation:
<disp-formula id="ptaa168M10b"><label>(10b)</label><tex-math notation="LaTeX" id="Equation15"><![CDATA[$$
\begin{eqnarray}\label{eq:IIB-matrix-model-algebraic-equation}
i\,\big(\widehat{p}_{a}-\widehat{p}_{b}\big)\;
\widehat{a}^{\,\mu}_{\;ab}
&=&
-\left.\frac{\delta S_\text{eff}}{\delta A_{\mu\;ba}}
 \right|_{A=\widehat{a}}\;
+\widehat{\eta}^{\,\mu}_{\;ab},
\end{eqnarray}
$$]]></tex-math></disp-formula>
in terms of the master momenta <inline-formula><tex-math notation="LaTeX" id="ImEquation38"><![CDATA[$\widehat{p}_{a}$]]></tex-math></inline-formula> (uniform random numbers) and the master noise matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation39"><![CDATA[$\widehat{\eta}^{\,\mu}_{\;ab}$]]></tex-math></inline-formula> (Gaussian random numbers); see Ref. [<xref ref-type="bibr" rid="B22">22</xref>] for further details and Refs. [<xref ref-type="bibr" rid="B23">23</xref>,<xref ref-type="bibr" rid="B24">24</xref>] for some interesting results.</p>
<p>Further remarks on the IIB-matrix-model master field also appear in Appendix B of Ref. [<xref ref-type="bibr" rid="B10">10</xref>], but, here, we just assume that the master field has been obtained, in the form as given by Eq. (<xref ref-type="disp-formula" rid="ptaa168M10a">10</xref>) or otherwise.</p>
</sec>
<sec id="SEC4"><title>4. Emergent spacetime points</title>
<p>As argued in Appendix B of Ref. [<xref ref-type="bibr" rid="B10">10</xref>], the only place where &#x201C;classical spacetime&#x201D; can reside in the IIB matrix model is the master field <inline-formula><tex-math notation="LaTeX" id="ImEquation40"><![CDATA[$\skew6\widehat{A}^{\,\mu}$]]></tex-math></inline-formula> of the model. But precisely where? In the following, we present a few rather naive ideas (hopefully, not too naive).</p>
<p>Following Refs. [<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>], we begin by making a particular global gauge transformation (<xref ref-type="disp-formula" rid="ptaa168M2a">2a</xref>),
<disp-formula id="ptaa168M11a"><label>(11a)</label><tex-math notation="LaTeX" id="Equation16"><![CDATA[$$
\begin{eqnarray} \label{eq:Hmu-bar}
\underline{\skew6\widehat{A}}^{\,\mu}
&=&
\underline{\Omega}\,\skew6\widehat{A}^{\,\mu}\,\underline{\Omega}^{\,\dagger},
\\[2mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M11b"><label>(11b)</label><tex-math notation="LaTeX" id="Equation17"><![CDATA[$$
\begin{eqnarray}\label{eq:U0bar}
\underline{\Omega} &\in&  SU(N) ,
\end{eqnarray}
$$]]></tex-math></disp-formula>
so that the transformed 0-component [singled out by the Minkowski &#x201C;metric&#x201D; (<xref ref-type="disp-formula" rid="ptaa168M1b">1b</xref>)] is diagonal and has ordered eigenvalues <inline-formula><tex-math notation="LaTeX" id="ImEquation41"><![CDATA[$\widehat{\alpha}_{i} \in \mathbb{R}$]]></tex-math></inline-formula>,
<disp-formula id="ptaa168M12a"><label>(12a)</label><tex-math notation="LaTeX" id="Equation18"><![CDATA[$$
\begin{eqnarray} \label{eq:H0hat-bar}
\underline{\skew6\widehat{A}}^{\,0}
&=&
\text{diag} \Big( \widehat{\alpha}_{1},\,\widehat{\alpha}_{2},
\ldots,
\widehat{\alpha}_{N-1},\,\widehat{\alpha}_{N} \Big),
\\[2mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M12b"><label>(12b)</label><tex-math notation="LaTeX" id="Equation19"><![CDATA[$$
\begin{eqnarray}\label{eq:alphahat-order}
\widehat{\alpha}_{1}
&\leq&
\widehat{\alpha}_{2}\,\leq\cdots\leq\,
\widehat{\alpha}_{N-1}\,\leq\,\widehat{\alpha}_{N},
\\[2mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M12c"><label>(12c)</label><tex-math notation="LaTeX" id="Equation20"><![CDATA[$$
\begin{eqnarray}\label{eq:alphahat-sum-zero}
\sum_{i=1}^{N}\,\widehat{\alpha}_{i}&=& 0,
\end{eqnarray}
$$]]></tex-math></disp-formula>
where the last equality from tracelessness implies that some <inline-formula><tex-math notation="LaTeX" id="ImEquation42"><![CDATA[$\widehat{\alpha}_{i}$]]></tex-math></inline-formula> are negative and some positive. The ordering (<xref ref-type="disp-formula" rid="ptaa168M12b">12b</xref>) will turn out to be crucial for the time coordinates <inline-formula><tex-math notation="LaTeX" id="ImEquation43"><![CDATA[$\widetilde{t}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation44"><![CDATA[$\widehat{t}$]]></tex-math></inline-formula> obtained below.</p>
<p>Indeed, we can introduce a continuous function <inline-formula><tex-math notation="LaTeX" id="ImEquation45"><![CDATA[$\widetilde{x}^{\,0}\,(\widetilde{\zeta}) \equiv \widetilde{c}\;\widetilde{t}\,(\widetilde{\zeta})$]]></tex-math></inline-formula> for <inline-formula><tex-math notation="LaTeX" id="ImEquation46"><![CDATA[$\widetilde{\zeta}\in (0,\,1]$]]></tex-math></inline-formula> by identifying (cf. Ref. [<xref ref-type="bibr" rid="B21">21</xref>])
<disp-formula id="ptaa168M13"><label>(13)</label><tex-math notation="LaTeX" id="Equation21"><![CDATA[$$
\begin{equation} \label{eq:t-tilde-def}
\widetilde{x}^{\,0}\,(i/N)
\equiv
\widetilde{c}\;\widetilde{t}\,(i/N)
=
\widehat{\alpha}_{i},
\end{equation}
$$]]></tex-math></disp-formula>
with <inline-formula><tex-math notation="LaTeX" id="ImEquation47"><![CDATA[$i \in \{1,\ldots ,  N\}$]]></tex-math></inline-formula> and a velocity <inline-formula><tex-math notation="LaTeX" id="ImEquation48"><![CDATA[$\widetilde{c}$]]></tex-math></inline-formula> that is expected to be related to the vacuum velocity of light in the low-energy theory. From Eq. (<xref ref-type="disp-formula" rid="ptaa168M12b">12b</xref>), we immediately have
<disp-formula id="ptaa168M14"><label>(14)</label><tex-math notation="LaTeX" id="Equation22"><![CDATA[$$
\begin{equation}\label{eq:ttilde-order}
\widetilde{t}\,\big(1/N\big) \,\leq\, \widetilde{t}\,\big(2/N\big)\,\leq
\cdots
\leq\, \widetilde{t}\,\big(1-1/N\big)\,\leq\, \widetilde{t}\,\big(1\big),
\end{equation}
$$]]></tex-math></disp-formula>
where the ordering is the defining property of what makes physical time.</p>
<p>The problem now is how to extract the <italic>corresponding</italic> space coordinates <inline-formula><tex-math notation="LaTeX" id="ImEquation49"><![CDATA[$\widetilde{x}^{\,m}(\widetilde{\zeta})$]]></tex-math></inline-formula> from the Hermitian <inline-formula><tex-math notation="LaTeX" id="ImEquation50"><![CDATA[$\underline{\skew6\widehat{A}}^{\,m}$]]></tex-math></inline-formula> matrices. The simplest idea (following Ref. [<xref ref-type="bibr" rid="B2">2</xref>]) is to calculate the eigenvalues of the nine matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation51"><![CDATA[$\underline{\skew6\widehat{A}}^{\,m}$]]></tex-math></inline-formula>, but then it is unclear how to order them with respect to the eigenvalues from Eq. (<xref ref-type="disp-formula" rid="ptaa168M12a">12</xref>). We will use a relatively simple procedure, which approximates the <inline-formula><tex-math notation="LaTeX" id="ImEquation52"><![CDATA[$\underline{\skew6\widehat{A}}^{\,m}$]]></tex-math></inline-formula> eigenvalues but still manages to order them along the diagonal. Our procedure corresponds, in fact, to a type of coarse graining of some of the information contained in the IIB-matrix-model master field. There is, however, more information in the master field that we will not consider, and even information not in the master field, as there are also non-factorizing observables [<xref ref-type="bibr" rid="B20">20</xref>] in the IIB matrix model.</p>
<p>We start from the following trivial observation: if <inline-formula><tex-math notation="LaTeX" id="ImEquation53"><![CDATA[$M$]]></tex-math></inline-formula> is an <inline-formula><tex-math notation="LaTeX" id="ImEquation54"><![CDATA[$N\times N$]]></tex-math></inline-formula> Hermitian matrix, then <italic>any</italic>&#x02002;<inline-formula><tex-math notation="LaTeX" id="ImEquation55"><![CDATA[$n\times n$]]></tex-math></inline-formula> block centered on the diagonal of <inline-formula><tex-math notation="LaTeX" id="ImEquation56"><![CDATA[$M$]]></tex-math></inline-formula> is <italic>also</italic> Hermitian, which holds for <inline-formula><tex-math notation="LaTeX" id="ImEquation57"><![CDATA[$n\geq 1$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation58"><![CDATA[$n \leq N$]]></tex-math></inline-formula>. With <inline-formula><tex-math notation="LaTeX" id="ImEquation59"><![CDATA[$N \gg1$]]></tex-math></inline-formula>, we take <inline-formula><tex-math notation="LaTeX" id="ImEquation60"><![CDATA[$n$]]></tex-math></inline-formula> so that <inline-formula><tex-math notation="LaTeX" id="ImEquation61"><![CDATA[$1 \ll n \ll N$]]></tex-math></inline-formula>. Specifically, we proceed by the following six steps.</p>
<p>The first step is to let <inline-formula><tex-math notation="LaTeX" id="ImEquation62"><![CDATA[$K$]]></tex-math></inline-formula> be an odd divisor of <inline-formula><tex-math notation="LaTeX" id="ImEquation63"><![CDATA[$N$]]></tex-math></inline-formula>, so that
<disp-formula id="ptaa168M15a"><label>(15a)</label><tex-math notation="LaTeX" id="Equation23"><![CDATA[$$
\begin{eqnarray}
N&=&K\,n,
\\[2mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M15b"><label>(15b)</label><tex-math notation="LaTeX" id="Equation24"><![CDATA[$$
\begin{eqnarray}
K &=& 2\,L+1,
\end{eqnarray}
$$]]></tex-math></disp-formula>
where both <inline-formula><tex-math notation="LaTeX" id="ImEquation64"><![CDATA[$L$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation65"><![CDATA[$n$]]></tex-math></inline-formula> are positive integers (we have chosen an odd value of <inline-formula><tex-math notation="LaTeX" id="ImEquation66"><![CDATA[$K$]]></tex-math></inline-formula> for later convenience). In the limit <inline-formula><tex-math notation="LaTeX" id="ImEquation67"><![CDATA[$N\to\infty$]]></tex-math></inline-formula>, we also take <inline-formula><tex-math notation="LaTeX" id="ImEquation68"><![CDATA[$K\to\infty$]]></tex-math></inline-formula> but are not sure exactly how fast (with <inline-formula><tex-math notation="LaTeX" id="ImEquation69"><![CDATA[$n$]]></tex-math></inline-formula> staying finite or not).</p>
<p>The second step is to consider, in each of the 10 matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation70"><![CDATA[$\underline{\skew6\widehat{A}}^{\,\mu}$]]></tex-math></inline-formula> from Eqs. (<xref ref-type="disp-formula" rid="ptaa168M11a">11</xref>) and (<xref ref-type="disp-formula" rid="ptaa168M12a">12</xref>), the <inline-formula><tex-math notation="LaTeX" id="ImEquation71"><![CDATA[$K$]]></tex-math></inline-formula> blocks of size <inline-formula><tex-math notation="LaTeX" id="ImEquation72"><![CDATA[$n\times n$]]></tex-math></inline-formula> centered on the diagonals.</p>
<p>The third step is to realize that we already know the diagonalized blocks of <inline-formula><tex-math notation="LaTeX" id="ImEquation73"><![CDATA[$\underline{\skew6\widehat{A}}^{\,0}$]]></tex-math></inline-formula> from Eq. (<xref ref-type="disp-formula" rid="ptaa168M12a">12a</xref>). This allows us to define the following time coordinate <inline-formula><tex-math notation="LaTeX" id="ImEquation74"><![CDATA[$\widehat{t}\,(\zeta)$]]></tex-math></inline-formula>, for <inline-formula><tex-math notation="LaTeX" id="ImEquation75"><![CDATA[$\zeta\in (0,\,1]$]]></tex-math></inline-formula>, as the average of the <inline-formula><tex-math notation="LaTeX" id="ImEquation76"><![CDATA[$\widehat{\alpha}_{i}$]]></tex-math></inline-formula> eigenvalues of each <inline-formula><tex-math notation="LaTeX" id="ImEquation77"><![CDATA[$n\times n$]]></tex-math></inline-formula> block:
<disp-formula id="ptaa168M16"><label>(16)</label><tex-math notation="LaTeX" id="Equation25"><![CDATA[$$
\begin{equation} \label{eq:x0hat-def}
\widehat{x}^{\,0}\,\big(k/K\big) \equiv
\widetilde{c}\;\widehat{t}\,\big(k/K\big) \equiv
\left(\frac{1}{n}\;\sum_{j=1}^{n} \, \widehat{\alpha}_{(k-1)\,n+j}\right)
+ \widetilde{c}\;\widehat{t}_\text{shift},
\end{equation}
$$]]></tex-math></disp-formula>
with <inline-formula><tex-math notation="LaTeX" id="ImEquation78"><![CDATA[$k \in \{1,\ldots ,  K\}$]]></tex-math></inline-formula>, an arbitrary real constant <inline-formula><tex-math notation="LaTeX" id="ImEquation79"><![CDATA[$\widehat{t}_\text{shift}$]]></tex-math></inline-formula>, and the velocity <inline-formula><tex-math notation="LaTeX" id="ImEquation80"><![CDATA[$\widetilde{c}$]]></tex-math></inline-formula> mentioned below Eq. (<xref ref-type="disp-formula" rid="ptaa168M13">13</xref>). The time coordinates from Eq. (<xref ref-type="disp-formula" rid="ptaa168M16">16</xref>) are ordered,
<disp-formula id="ptaa168M17"><label>(17)</label><tex-math notation="LaTeX" id="Equation26"><![CDATA[$$
\begin{equation}\label{eq:that-order}
\widehat{t}\,\big(1/K\big) \,\leq\, \widehat{t}\,\big(2/K\big)\,\leq
\cdots
\leq\, \widehat{t}\,\big(1-1/K\big)\,\leq\, \widehat{t}\,\big(1\big),
\end{equation}
$$]]></tex-math></disp-formula>
because the <inline-formula><tex-math notation="LaTeX" id="ImEquation81"><![CDATA[$\widehat{\alpha}_{i}$]]></tex-math></inline-formula> are, according to Eq. (<xref ref-type="disp-formula" rid="ptaa168M12b">12b</xref>). With an appropriate value of <inline-formula><tex-math notation="LaTeX" id="ImEquation82"><![CDATA[$\widehat{t}_\text{shift}$]]></tex-math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="ptaa168M16">16</xref>), we can set <inline-formula><tex-math notation="LaTeX" id="ImEquation83"><![CDATA[$\widehat{t}=0$]]></tex-math></inline-formula> for the halfway block at <inline-formula><tex-math notation="LaTeX" id="ImEquation84"><![CDATA[$k=L+1$]]></tex-math></inline-formula>. The blocks with <inline-formula><tex-math notation="LaTeX" id="ImEquation85"><![CDATA[$k<L+1$]]></tex-math></inline-formula> will generically have negative time coordinates <inline-formula><tex-math notation="LaTeX" id="ImEquation86"><![CDATA[$\widehat{t}$]]></tex-math></inline-formula> and those with <inline-formula><tex-math notation="LaTeX" id="ImEquation87"><![CDATA[$k>L+1$]]></tex-math></inline-formula> generically positive time coordinates <inline-formula><tex-math notation="LaTeX" id="ImEquation88"><![CDATA[$\widehat{t}$]]></tex-math></inline-formula>.</p>
<p>The fourth step is to obtain the eigenvalues of the <inline-formula><tex-math notation="LaTeX" id="ImEquation89"><![CDATA[$n\times n$]]></tex-math></inline-formula> blocks of the nine spatial matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation90"><![CDATA[$\underline{\skew6\widehat{A}}^{\,m}$]]></tex-math></inline-formula> and to denote these real eigenvalues <inline-formula><tex-math notation="LaTeX" id="ImEquation91"><![CDATA[$\big(\widehat{\beta}^{\,m}\big)_{i}\,$]]></tex-math></inline-formula>, with <inline-formula><tex-math notation="LaTeX" id="ImEquation92"><![CDATA[$i \in \{1,\ldots , N\}$]]></tex-math></inline-formula>. How the <inline-formula><tex-math notation="LaTeX" id="ImEquation93"><![CDATA[$n$]]></tex-math></inline-formula> eigenvalues are ordered in each block is irrelevant, as they will be averaged over in the next step.</p>
<p>The fifth step is to define, just as in step three, the following nine spatial coordinates <inline-formula><tex-math notation="LaTeX" id="ImEquation94"><![CDATA[$\widehat{x}^{\,m}(\zeta)$]]></tex-math></inline-formula>, for <inline-formula><tex-math notation="LaTeX" id="ImEquation95"><![CDATA[$\zeta\in (0,\,1]$]]></tex-math></inline-formula>, as the averages of the <inline-formula><tex-math notation="LaTeX" id="ImEquation96"><![CDATA[$\big(\widehat{\beta}^{\,m}\big)_{i}\,$]]></tex-math></inline-formula> eigenvalues of the <inline-formula><tex-math notation="LaTeX" id="ImEquation97"><![CDATA[$n\times n$]]></tex-math></inline-formula> blocks:
<disp-formula id="ptaa168M18"><label>(18)</label><tex-math notation="LaTeX" id="Equation27"><![CDATA[$$
\begin{equation} \label{eq:xmhat-def}
\widehat{x}^{\,m}\big(k/K\big)
\equiv
\frac{1}{n}\;\sum_{j=1}^{n}\, \left[\,\widehat{\beta}^{\,m}\,\right]_{(k-1)\,n+j},
\end{equation}
$$]]></tex-math></disp-formula>
with <inline-formula><tex-math notation="LaTeX" id="ImEquation98"><![CDATA[$k \in \{1,\ldots ,  K\}$]]></tex-math></inline-formula>. The averaging is done independently for each value of <inline-formula><tex-math notation="LaTeX" id="ImEquation99"><![CDATA[$m$]]></tex-math></inline-formula>.</p>
<p>The sixth and last step is, first, to observe that <inline-formula><tex-math notation="LaTeX" id="ImEquation100"><![CDATA[$\widehat{t}\,(\zeta)$]]></tex-math></inline-formula> from Eqs. (<xref ref-type="disp-formula" rid="ptaa168M16">16</xref>) and (<xref ref-type="disp-formula" rid="ptaa168M17">17</xref>) is a nondecreasing function of <inline-formula><tex-math notation="LaTeX" id="ImEquation101"><![CDATA[$\zeta\equiv k/K$]]></tex-math></inline-formula> and, then, to eliminate <inline-formula><tex-math notation="LaTeX" id="ImEquation102"><![CDATA[$\zeta$]]></tex-math></inline-formula> between <inline-formula><tex-math notation="LaTeX" id="ImEquation103"><![CDATA[$\widehat{t}\,(\zeta)$]]></tex-math></inline-formula> from Eq. (<xref ref-type="disp-formula" rid="ptaa168M16">16</xref>) and <inline-formula><tex-math notation="LaTeX" id="ImEquation104"><![CDATA[$\widehat{x}^{\,m}(\zeta)$]]></tex-math></inline-formula> from Eq. (<xref ref-type="disp-formula" rid="ptaa168M18">18</xref>), in order to obtain
<disp-formula id="ptaa168M19"><label>(19)</label><tex-math notation="LaTeX" id="Equation28"><![CDATA[$$
\begin{equation} \label{eq:xm-from-t}
\widehat{x}^{\,m}=\widehat{x}^{\,m}\big(\,\widehat{t}\;\big),
\end{equation}
$$]]></tex-math></disp-formula>
which corresponds to a particular foliation of what will become the classical spacetime.</p>
<p>If the master-field matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation105"><![CDATA[$\underline{\skew6\widehat{A}}^{\,\mu}$]]></tex-math></inline-formula> are more or less block-diagonal (with a width <inline-formula><tex-math notation="LaTeX" id="ImEquation106"><![CDATA[$\Delta N \ll N$]]></tex-math></inline-formula>, as suggested by the numerical results from Refs. [<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>]) and if an appropriate value of <inline-formula><tex-math notation="LaTeX" id="ImEquation107"><![CDATA[$n$]]></tex-math></inline-formula> can be chosen (perhaps <inline-formula><tex-math notation="LaTeX" id="ImEquation108"><![CDATA[$n \sim \Delta N$]]></tex-math></inline-formula>, for sufficiently large values of <inline-formula><tex-math notation="LaTeX" id="ImEquation109"><![CDATA[$N$]]></tex-math></inline-formula>), then the expressions (<xref ref-type="disp-formula" rid="ptaa168M16">16</xref>) and (<xref ref-type="disp-formula" rid="ptaa168M18">18</xref>) may provide suitable spacetime points. In a somewhat different notation, these spacetime points are denoted
<disp-formula id="ptaa168M20"><label>(20)</label><tex-math notation="LaTeX" id="Equation29"><![CDATA[$$
\begin{equation}\label{eq:xhat-mu-k}
\widehat{x}^{\,\mu}_{k}=
\left(\,\widehat{x}^{\,0}_{k},\, \widehat{x}^{\,m}_{k}\,\right)
\equiv
\Big(\,\widehat{x}^{\,0}\big(k/K\big),\,
\widehat{x}^{\,m}\big(k/K\big)\,\Big),
\end{equation}
$$]]></tex-math></disp-formula>
where <inline-formula><tex-math notation="LaTeX" id="ImEquation110"><![CDATA[$k$]]></tex-math></inline-formula> runs over <inline-formula><tex-math notation="LaTeX" id="ImEquation111"><![CDATA[$\{1,\ldots ,  K\}$]]></tex-math></inline-formula> with <inline-formula><tex-math notation="LaTeX" id="ImEquation112"><![CDATA[$K$]]></tex-math></inline-formula> given by Eq. (<xref ref-type="disp-formula" rid="ptaa168M15a">15</xref>). Each of these 10 coordinates has the dimension of length, which traces back to the dimension of the bosonic matrix variable <inline-formula><tex-math notation="LaTeX" id="ImEquation113"><![CDATA[$A^{\,\mu}$]]></tex-math></inline-formula>, as discussed in Sect. <xref ref-type="sec" rid="SEC2">2</xref>. The points (<xref ref-type="disp-formula" rid="ptaa168M20">20</xref>), and those obtained from different choices of block size <inline-formula><tex-math notation="LaTeX" id="ImEquation114"><![CDATA[$n$]]></tex-math></inline-formula> and block position along the diagonals of the master-field matrices, effectively build a spacetime manifold with continuous (interpolating) coordinates <inline-formula><tex-math notation="LaTeX" id="ImEquation115"><![CDATA[$x^{\,\mu}$]]></tex-math></inline-formula> if there is also an emerging metric <inline-formula><tex-math notation="LaTeX" id="ImEquation116"><![CDATA[$g_{\mu\nu}(x)$]]></tex-math></inline-formula>.</p>
</sec>
<sec id="SEC5"><title>5. Emergent spacetime metric</title>
<p>In Sect. <xref ref-type="sec" rid="SEC4">4</xref>, we have obtained <inline-formula><tex-math notation="LaTeX" id="ImEquation117"><![CDATA[$K$]]></tex-math></inline-formula> points <inline-formula><tex-math notation="LaTeX" id="ImEquation118"><![CDATA[$\widehat{x}^{\,\mu}_{k}$]]></tex-math></inline-formula> as given by Eq. (<xref ref-type="disp-formula" rid="ptaa168M20">20</xref>), which sample a 10D classical spacetime. (We have put a hat on our coordinates in order to remind us of their master-field origin.) The idea now is that low-energy fields propagate over a spacetime manifold which interpolates between these discrete spacetime points <inline-formula><tex-math notation="LaTeX" id="ImEquation119"><![CDATA[$\widehat{x}^{\,\mu}_{k}$]]></tex-math></inline-formula>. The low-energy fields include the matter fields (scalar, vector, spinor) and the metric field (tensor). In fact, Aoki et al. [<xref ref-type="bibr" rid="B2">2</xref>] have argued that the propagation of a matter field (e.g., the propagation of a scalar field <inline-formula><tex-math notation="LaTeX" id="ImEquation120"><![CDATA[$\sigma$]]></tex-math></inline-formula>) determines the effective inverse metric, which is found to depend on the density function of the spacetime points <inline-formula><tex-math notation="LaTeX" id="ImEquation121"><![CDATA[$\widehat{x}^{\,\mu}_{k}$]]></tex-math></inline-formula> and the correlations of these density functions.</p>
<p>The crucial result in Ref. [<xref ref-type="bibr" rid="B2">2</xref>] is Eq. (4.16), which we rewrite as follows:
<disp-formula id="ptaa168M21"><label>(21)</label><tex-math notation="LaTeX" id="Equation30"><![CDATA[$$
\begin{equation} \label{eq:emergent-inverse-metric}
g^{\mu\nu}(x) \sim
\int_{\mathbb{R}^{D}} d^{D}y\;
\langle\langle\, \rho(y)  \,\rangle\rangle
\; (x-y)^{\,\mu}\,(x-y)^{\nu}\;f(x-y)\;r(x,\,y),
\end{equation}
$$]]></tex-math></disp-formula>
where <inline-formula><tex-math notation="LaTeX" id="ImEquation122"><![CDATA[$D=10$]]></tex-math></inline-formula> is the spacetime dimension and the average <inline-formula><tex-math notation="LaTeX" id="ImEquation123"><![CDATA[$\langle\langle\, \rho(y)  \,\rangle\rangle$]]></tex-math></inline-formula> corresponds, for the procedure used in Sect. <xref ref-type="sec" rid="SEC4">4</xref>, to averaging over different block sizes and block positions along the diagonals of the master-field matrices (details will be presented elsewhere).</p>
<p>The quantities that enter the multiple integral (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) are the density function
<disp-formula id="ptaa168M22"><label>(22)</label><tex-math notation="LaTeX" id="Equation31"><![CDATA[$$
\begin{equation} \label{eq:rho-def}
\rho(x) \;\equiv \;
\sum_{k=1}^{K}\;\delta^{(D)} \big(x- \widehat{x}_{k}\big),
\end{equation}
$$]]></tex-math></disp-formula>
the dimensionless density correlation function <inline-formula><tex-math notation="LaTeX" id="ImEquation124"><![CDATA[$r(x,\,y)$]]></tex-math></inline-formula> defined by
<disp-formula id="ptaa168M23"><label>(23)</label><tex-math notation="LaTeX" id="Equation32"><![CDATA[$$
\begin{equation} \label{eq:r-def}
\langle\langle\,\rho(x)\,\rho(y) \,\rangle\rangle \;\equiv \;
\langle\langle\, \rho(x)\,\rangle\rangle\; \langle\langle\,\rho(y) \,\rangle\rangle\;
r(x,\,y),
\end{equation}
$$]]></tex-math></disp-formula>
and a strongly localized function <inline-formula><tex-math notation="LaTeX" id="ImEquation125"><![CDATA[$f(x)$]]></tex-math></inline-formula>, which appears in the effective action of a low-energy scalar degree of freedom <inline-formula><tex-math notation="LaTeX" id="ImEquation126"><![CDATA[$\sigma$]]></tex-math></inline-formula> &#x201C;propagating&#x201D; over the discrete spacetime points <inline-formula><tex-math notation="LaTeX" id="ImEquation127"><![CDATA[$\widehat{x}^{\,\mu}_{k}$]]></tex-math></inline-formula>,
<disp-formula id="ptaa168M24"><label>(24)</label><tex-math notation="LaTeX" id="Equation33"><![CDATA[$$
\begin{equation} \label{eq:Seff-phi}
S_\text{eff}[\sigma] \propto
\sum_{k,\,l}\; \frac{1}{2}\,f\big(\widehat{x}_{k}-\widehat{x}_{l}\big)\;
\big( \sigma_{k}- \sigma_{l}  \big)^{2}
+ \sum_{k}\;\frac{1}{2}\,\mu^{2}\,\ell^{-2}\; \big( \sigma_{k}\big)^{2},
\end{equation}
$$]]></tex-math></disp-formula>
where <inline-formula><tex-math notation="LaTeX" id="ImEquation128"><![CDATA[$f(x)=f\left(x^{0},\,  x^{1},\ldots,x^{D-1}\right)$]]></tex-math></inline-formula> has dimension <inline-formula><tex-math notation="LaTeX" id="ImEquation129"><![CDATA[$1/(\text{length})^{2}$]]></tex-math></inline-formula>, <inline-formula><tex-math notation="LaTeX" id="ImEquation130"><![CDATA[$\mu$]]></tex-math></inline-formula> is dimensionless, and <inline-formula><tex-math notation="LaTeX" id="ImEquation131"><![CDATA[$\ell$]]></tex-math></inline-formula> is the model length scale introduced in Eq. (<xref ref-type="disp-formula" rid="ptaa168M3">3</xref>). Here, <inline-formula><tex-math notation="LaTeX" id="ImEquation132"><![CDATA[$\sigma_{k}$]]></tex-math></inline-formula> is the field value at the point <inline-formula><tex-math notation="LaTeX" id="ImEquation133"><![CDATA[$\widehat{x}_{k}$]]></tex-math></inline-formula> and the continuous field <inline-formula><tex-math notation="LaTeX" id="ImEquation134"><![CDATA[$\sigma(x)$]]></tex-math></inline-formula> has <inline-formula><tex-math notation="LaTeX" id="ImEquation135"><![CDATA[$\sigma(\widehat{x}_{k})=\sigma_{k}\,$]]></tex-math></inline-formula>. After averaging over different block structures in the master-field matrices (see above) and making a Taylor expansion, the continuous field <inline-formula><tex-math notation="LaTeX" id="ImEquation136"><![CDATA[$\sigma(x)$]]></tex-math></inline-formula> is found to have a standard kinetic term <inline-formula><tex-math notation="LaTeX" id="ImEquation137"><![CDATA[$g^{\mu\nu}\,\partial_{\mu} \sigma\,\partial_{\nu}\sigma$]]></tex-math></inline-formula> in the action, with the inverse metric given by Eq. (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>). See Sect. 4.2 of Ref. [<xref ref-type="bibr" rid="B2">2</xref>] for further details, Appendix <xref ref-type="sec" rid="SEC7">A</xref> for a sample calculation, and Ref. [<xref ref-type="bibr" rid="B25">25</xref>] for earlier work on random-lattice field theories.</p>
<p>The inverse metric <inline-formula><tex-math notation="LaTeX" id="ImEquation138"><![CDATA[$g^{\mu\nu}(x)$]]></tex-math></inline-formula> from Eq. (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) is manifestly dimensionless and the metric <inline-formula><tex-math notation="LaTeX" id="ImEquation139"><![CDATA[$g_{\mu\nu}$]]></tex-math></inline-formula> is simply obtained as the matrix inverse of <inline-formula><tex-math notation="LaTeX" id="ImEquation140"><![CDATA[$g^{\mu\nu}$]]></tex-math></inline-formula>. In fact, general covariance is also expected to emerge dynamically [<xref ref-type="bibr" rid="B2">2</xref>] and the quantity determined by the integral (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) will, for a strongly localized function <inline-formula><tex-math notation="LaTeX" id="ImEquation141"><![CDATA[$f$]]></tex-math></inline-formula>, transform approximately like <inline-formula><tex-math notation="LaTeX" id="ImEquation142"><![CDATA[$dx^{\mu}\,dx^{\nu}$]]></tex-math></inline-formula>, that is, approximately like a rank-2 contravariant tensor. Taking the matrix inverse of this quantity gives an object that transforms approximately like a rank-2 covariant tensor, so that this object can indeed be interpreted as the emergent metric <inline-formula><tex-math notation="LaTeX" id="ImEquation143"><![CDATA[$g_{\mu\nu}(x)$]]></tex-math></inline-formula>.</p>
<p>The outstanding tasks are to obtain the master-field matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation144"><![CDATA[$\skew6\widehat{A}^{\,\mu}$]]></tex-math></inline-formula>, to identify an effective scalar <inline-formula><tex-math notation="LaTeX" id="ImEquation145"><![CDATA[$\sigma$]]></tex-math></inline-formula> from it (cf. Sect. 4.1 of Ref. [<xref ref-type="bibr" rid="B2">2</xref>]), and to recover the effective action (<xref ref-type="disp-formula" rid="ptaa168M24">24</xref>). The explicit results for <inline-formula><tex-math notation="LaTeX" id="ImEquation146"><![CDATA[$\rho(x)$]]></tex-math></inline-formula>, <inline-formula><tex-math notation="LaTeX" id="ImEquation147"><![CDATA[$f(x)$]]></tex-math></inline-formula>, and <inline-formula><tex-math notation="LaTeX" id="ImEquation148"><![CDATA[$r(x,\,y)$]]></tex-math></inline-formula> must also explain how the inverse metric from Eq. (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) acquires a Lorentzian signature.</p>
<p>Using appropriate units to set <inline-formula><tex-math notation="LaTeX" id="ImEquation149"><![CDATA[$\ell =1$]]></tex-math></inline-formula>, we have performed a toy-model calculation with the function <inline-formula><tex-math notation="LaTeX" id="ImEquation150"><![CDATA[$f_\text{test,2}(x)=\alpha + x^{0} \, x^{1}$]]></tex-math></inline-formula> inserted into the multiple integral (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) for <inline-formula><tex-math notation="LaTeX" id="ImEquation151"><![CDATA[$D=2$]]></tex-math></inline-formula>, where we also assume <inline-formula><tex-math notation="LaTeX" id="ImEquation152"><![CDATA[$\rho(x)=r(x,\,y)=1$]]></tex-math></inline-formula> and cut the integration ranges off symmetrically at <inline-formula><tex-math notation="LaTeX" id="ImEquation153"><![CDATA[$\pm 1$]]></tex-math></inline-formula>. The resulting inverse metric at <inline-formula><tex-math notation="LaTeX" id="ImEquation154"><![CDATA[$x^{\mu}=0$]]></tex-math></inline-formula> is found to change continuously from a Euclidean to a Lorentzian signature as the parameter <inline-formula><tex-math notation="LaTeX" id="ImEquation155"><![CDATA[$\alpha$]]></tex-math></inline-formula> changes continuously from <inline-formula><tex-math notation="LaTeX" id="ImEquation156"><![CDATA[$\alpha=1$]]></tex-math></inline-formula> to <inline-formula><tex-math notation="LaTeX" id="ImEquation157"><![CDATA[$\alpha=0$]]></tex-math></inline-formula> (see Appendix <xref ref-type="sec" rid="SEC8">B</xref> for further details and a trivial extension to <inline-formula><tex-math notation="LaTeX" id="ImEquation158"><![CDATA[$D=4$]]></tex-math></inline-formula>). The conclusion is that, in principle, it is possible to obtain a Lorentzian inverse metric from the expression (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>). But it will be a challenge to establish, if at all relevant, the effective Lorentzian metric of the regularized big bang singularity with <inline-formula><tex-math notation="LaTeX" id="ImEquation159"><![CDATA[$b\sim \ell$]]></tex-math></inline-formula> as the length parameter [<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>].</p>
<p>For the record, we give a further result, based on Eq. (4.17) of Ref. [<xref ref-type="bibr" rid="B2">2</xref>], which concerns the background value of the dilaton field <inline-formula><tex-math notation="LaTeX" id="ImEquation160"><![CDATA[$\Phi$]]></tex-math></inline-formula>,
<disp-formula id="ptaa168M25"><label>(25)</label><tex-math notation="LaTeX" id="Equation34"><![CDATA[$$
\begin{equation} \label{eq:emergent-dilaton}
\sqrt{-g(x)}\exp\big[- \Phi(x) \big]
\propto
\langle\langle\, \rho(x)  \,\rangle\rangle,
\end{equation}
$$]]></tex-math></disp-formula>
with <inline-formula><tex-math notation="LaTeX" id="ImEquation161"><![CDATA[$g \equiv \det g_{\mu\nu}$]]></tex-math></inline-formula> and the meaning of the average on the right-hand side explained in the text below Eq. (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>).</p>
<p>Returning to the expression (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) for the emergent inverse metric, we observe that it depends not only on the density distribution <inline-formula><tex-math notation="LaTeX" id="ImEquation162"><![CDATA[$\rho$]]></tex-math></inline-formula> of emerged spacetime points and their correlation function <inline-formula><tex-math notation="LaTeX" id="ImEquation163"><![CDATA[$r$]]></tex-math></inline-formula>, but also on the localization function <inline-formula><tex-math notation="LaTeX" id="ImEquation164"><![CDATA[$f$]]></tex-math></inline-formula> from the scalar effective action (<xref ref-type="disp-formula" rid="ptaa168M24">24</xref>). In this way, the metric only exists if matter is present, which reminds us of Dicke&#x2019;s interpretation of spacetime (see Appendix 4, p. 50 and Appendix 5, p. 60 in Ref. [<xref ref-type="bibr" rid="B26">26</xref>]). The new insight from the IIB matrix model is that matter and spacetime are expected to emerge simultaneously.</p>
</sec>
<sec id="SEC6"><title>Note added</title>
<p>Two subsequent papers [<xref ref-type="bibr" rid="B27">27</xref>,<xref ref-type="bibr" rid="B28">28</xref>] give details on the extraction of the spacetime points and the spacetime metric, assuming that the IIB-matrix-model master field is known. A further paper [<xref ref-type="bibr" rid="B29">29</xref>] shows that the IIB-matrix-model master field can, in principle, give rise to the regularized big bang metric [<xref ref-type="bibr" rid="B12">12</xref>] of general relativity.</p>
</sec>
</body>
<back>
<ack id="ack1">
<title>Acknowledgements</title>
<p>It is a pleasure to thank J. Nishimura and H. C. Steinacker for comments on an earlier version of this article. The referee is thanked for constructive remarks.</p>
</ack>
<sec><title>Funding</title>
<p>Open Access funding: SCOAP<inline-formula><tex-math notation="LaTeX" id="ImEquation165"><![CDATA[$^3$]]></tex-math></inline-formula>.</p>
</sec>
<app-group>
<app id="app1"><title>&#x02003;</title>
<sec id="SEC7"><title>Appendix A. Effective action of a scalar degree of freedom</title>
<p>The expression (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) for the emergent inverse metric in Sect. <xref ref-type="sec" rid="SEC5">5</xref> was obtained from an <italic>assumed</italic> effective action (<xref ref-type="disp-formula" rid="ptaa168M24">24</xref>) of a scalar degree of freedom <inline-formula><tex-math notation="LaTeX" id="ImEquation166"><![CDATA[$\sigma$]]></tex-math></inline-formula>. Even though the particular form of this effective action is entirely reasonable (cf. the discussion of random-lattice scalars in Sect. 6 of Ref. [<xref ref-type="bibr" rid="B25">25</xref>]), it is desirable to understand in some detail how this effective action could arise in the IIB matrix model. This is done in the present appendix, where we show that the IIB matrix model can, in principle, produce the effective action (<xref ref-type="disp-formula" rid="ptaa168M24">24</xref>).</p>
<p>We start by noting that we should not be led astray by the notation <inline-formula><tex-math notation="LaTeX" id="ImEquation167"><![CDATA[$A^{\,\mu}$]]></tex-math></inline-formula> resembling 10 gauge fields and that the IIB-matrix-model master field <inline-formula><tex-math notation="LaTeX" id="ImEquation168"><![CDATA[$\skew6\widehat{A}^{\,\mu}$]]></tex-math></inline-formula> is really a <italic>single</italic>&#x02002;<inline-formula><tex-math notation="LaTeX" id="ImEquation169"><![CDATA[$10\times N\times N$]]></tex-math></inline-formula> matrix with entries having the dimension of length. The last observation suggests that, in order to get an effective <italic>field</italic>&#x02002;<inline-formula><tex-math notation="LaTeX" id="ImEquation170"><![CDATA[$\phi(x^{0}, \ldots ,x^9)$]]></tex-math></inline-formula> in the continuum, the perturbation <inline-formula><tex-math notation="LaTeX" id="ImEquation171"><![CDATA[$\phi_{k}$]]></tex-math></inline-formula> of the master-field matrix must be taken <italic>equal</italic> on all 10 &#x201C;slices&#x201D; of the matrix (an explicit example will be given below).</p>
<p>For simplicity, we focus on the four &#x201C;large&#x201D; spacetime dimensions [<xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B6">6</xref>],
<disp-formula id="ptaa168M26"><label>(A.1)</label><tex-math notation="LaTeX" id="Equation35"><![CDATA[$$
\begin{equation}
D=4,
\end{equation}
$$]]></tex-math></disp-formula>
and let the indices <inline-formula><tex-math notation="LaTeX" id="ImEquation172"><![CDATA[$\mu,\,\nu, \ldots$]]></tex-math></inline-formula> run over {0, 1, 2, 3}. We now present an explicit construction of a perturbation of the master field for the case
<disp-formula id="ptaa168M27"><label>(A.2)</label><tex-math notation="LaTeX" id="Equation36"><![CDATA[$$
\begin{equation}\label{eq:N-n}
N=K\,n = 6,\quad  n=3,
\end{equation}
$$]]></tex-math></disp-formula>
where <inline-formula><tex-math notation="LaTeX" id="ImEquation173"><![CDATA[$n$]]></tex-math></inline-formula> corresponds to the averaging block used in Sect. <xref ref-type="sec" rid="SEC4">4</xref> for the extraction of the spacetime points (here, there are only two spacetime points, <inline-formula><tex-math notation="LaTeX" id="ImEquation174"><![CDATA[$\widehat{x}^{\,\mu}_{1}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation175"><![CDATA[$\widehat{x}^{\,\mu}_{2}$]]></tex-math></inline-formula>). For the sake of argument, we simply assume that <inline-formula><tex-math notation="LaTeX" id="ImEquation176"><![CDATA[$N=6$]]></tex-math></inline-formula> is large enough so that there exists a master field (later, we will extend the explicit construction to <inline-formula><tex-math notation="LaTeX" id="ImEquation177"><![CDATA[$N\gg1$]]></tex-math></inline-formula>).</p>
<p>The <inline-formula><tex-math notation="LaTeX" id="ImEquation178"><![CDATA[$6\times 6$]]></tex-math></inline-formula> master-field matrices are assumed to have a band-diagonal structure [<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>] and are given by
<disp-formula id="ptaa168M28a"><label>(A.3a)</label><tex-math notation="LaTeX" id="Equation37"><![CDATA[$$
\begin{equation}
\underline{\skew6\widehat{A}}^{\,\mu}
=
\left(
  \begin{array}{cc}
\;\;\mathcal{B}^{\,\mu}_{11}\;\; &  \;\;\mathcal{B}^{\,\mu}_{12}\;\;\\[1mm]
\;\;\mathcal{B}^{\,\mu}_{21}\;\; &  \;\;\mathcal{B}^{\,\mu}_{22}\;\;\\
  \end{array}
\right)\!,
\end{equation}
$$]]></tex-math></disp-formula>
in terms of <inline-formula><tex-math notation="LaTeX" id="ImEquation179"><![CDATA[$3\times 3$]]></tex-math></inline-formula> blocks <inline-formula><tex-math notation="LaTeX" id="ImEquation180"><![CDATA[$\mathcal{B}^{\,\mu}_{kl}$]]></tex-math></inline-formula>, where
<disp-formula id="ptaa168M28b"><label>(A.3b)</label><tex-math notation="LaTeX" id="Equation38"><![CDATA[$$
\begin{equation}
\mathcal{B}^{\,\mu}_{12} \sim 0,
\quad
\mathcal{B}^{\,\mu}_{21}\sim 0,
\end{equation}
$$]]></tex-math></disp-formula>
and the block <inline-formula><tex-math notation="LaTeX" id="ImEquation181"><![CDATA[$\mathcal{B}^{\,\mu}_{11}$]]></tex-math></inline-formula> has real eigenvalues <inline-formula><tex-math notation="LaTeX" id="ImEquation182"><![CDATA[$\{\widehat{x}^{\,\mu}_{1,a},\,\widehat{x}^{\,\mu}_{1,b},\, \widehat{x}^{\,\mu}_{1,c}\}$]]></tex-math></inline-formula> with an average value
<disp-formula id="ptaa168M28c"><label>(A.3c)</label><tex-math notation="LaTeX" id="Equation39"><![CDATA[$$
\begin{equation}
\widehat{x}^{\,\mu}_{1}=
\frac{1}{3}\,\left(
\widehat{x}^{\,\mu}_{1,a}+
\widehat{x}^{\,\mu}_{1,b}+
\widehat{x}^{\,\mu}_{1,c} \right)\!,
\end{equation}
$$]]></tex-math></disp-formula>
and similarly for the block <inline-formula><tex-math notation="LaTeX" id="ImEquation183"><![CDATA[$\mathcal{B}^{\,\mu}_{22}$]]></tex-math></inline-formula>, with real eigenvalues <inline-formula><tex-math notation="LaTeX" id="ImEquation184"><![CDATA[$\{\widehat{x}^{\,\mu}_{2,a},\,\widehat{x}^{\,\mu}_{2,b},\, \widehat{x}^{\,\mu}_{2,c}\}$]]></tex-math></inline-formula> and an average value
<disp-formula id="ptaa168M28d"><label>(A.3d)</label><tex-math notation="LaTeX" id="Equation40"><![CDATA[$$
\begin{equation}
\widehat{x}^{\,\mu}_{2}=
\frac{1}{3}\,\left(
\widehat{x}^{\,\mu}_{2,a}+
\widehat{x}^{\,\mu}_{2,b}+
\widehat{x}^{\,\mu}_{2,c} \right)\!.
\end{equation}
$$]]></tex-math></disp-formula></p>
<p>Now consider the following <inline-formula><tex-math notation="LaTeX" id="ImEquation185"><![CDATA[$6\times 6$]]></tex-math></inline-formula> matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation186"><![CDATA[$A^{\,\mu}$]]></tex-math></inline-formula> involving the perturbations <inline-formula><tex-math notation="LaTeX" id="ImEquation187"><![CDATA[$\phi_{1},\,\phi_{2}$]]></tex-math></inline-formula> <inline-formula><tex-math notation="LaTeX" id="ImEquation188"><![CDATA[$\in$]]></tex-math></inline-formula> <inline-formula><tex-math notation="LaTeX" id="ImEquation189"><![CDATA[$\mathbb{R}$]]></tex-math></inline-formula>:
<disp-formula id="ptaa168M29a"><label>(A.4a)</label><tex-math notation="LaTeX" id="Equation41"><![CDATA[$$
\begin{equation}\label{eq:perturbed-matrices-N-is-6-matrices}
A^{\,\mu} =
\text{diag}\,
\big(B^{\,\mu}_{<11>},\,B^{\,\mu}_{<12>},\, B^{\,\mu}_{<22>}\big),
\end{equation}
$$]]></tex-math></disp-formula>
in terms of <inline-formula><tex-math notation="LaTeX" id="ImEquation190"><![CDATA[$2\times 2$]]></tex-math></inline-formula> blocks
<disp-formula id="ptaa168M29b"><label>(A.4b)</label><tex-math notation="LaTeX" id="Equation42"><![CDATA[$$
\begin{eqnarray}\label{eq:perturbed-matrices-N-is-6-block-left}
B^{\,\mu}_{<11>}
&=&  \left(
       \begin{array}{cc}
        \widehat{x}^{\,\mu}_{1}  &
        \;\;c^{\,\mu}\,\phi_{1}\,\left(1-\phi_{1}^{2}/\ell^{2}\right) \\
        c^{\,\mu}\,\phi_{1}\,\left(1-\phi_{1}^{2}/\ell^{2}\right)\;\;  &
        \widehat{x}^{\,\mu}_{1}+\phi_{1}\\
       \end{array}
     \right)\!,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M29c"><label>(A.4c)</label><tex-math notation="LaTeX" id="Equation43"><![CDATA[$$
\begin{eqnarray}\label{eq:perturbed-matrices-N-is-6-block-mid}
B^{\,\mu}_{<12>}
&=&  \left(
       \begin{array}{cc}
        \widehat{x}^{\,\mu}_{1}  &
        \;\;k_{12}\,\left(\phi_{1}-\phi_{2}\right) \\
        k_{12}\,\left(\phi_{1}-\phi_{2}\right)\;\; &
         \widehat{x}^{\,\mu}_{2} \\
       \end{array}
     \right)\!,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M29d"><label>(A.4d)</label><tex-math notation="LaTeX" id="Equation44"><![CDATA[$$
\begin{eqnarray}\label{eq:perturbed-matrices-N-is-6-block-right}
B^{\,\mu}_{<22>}
&=&  \left(
       \begin{array}{cc}
       \widehat{x}^{\,\mu}_{2}   &
      \;\; d^{\,\mu}\,\phi_{2}\,\left(1-\phi_{2}^{2}/\ell^{2}\right)\\
       d^{\,\mu}\,\phi_{2}\,\left(1-\phi_{2}^{2}/\ell^{2}\right)\;\;  &
        \widehat{x}^{\,\mu}_{2}+\phi_{2} \\
       \end{array}
     \right)\!,
\end{eqnarray}
$$]]></tex-math></disp-formula>
for a dimensionless coupling <inline-formula><tex-math notation="LaTeX" id="ImEquation191"><![CDATA[$k_{12}$]]></tex-math></inline-formula> and dimensionless constants <inline-formula><tex-math notation="LaTeX" id="ImEquation192"><![CDATA[$c^{\,\mu}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation193"><![CDATA[$d^{\,\mu}$]]></tex-math></inline-formula>,
<disp-formula id="ptaa168M29e"><label>(A.4e)</label><tex-math notation="LaTeX" id="Equation45"><![CDATA[$$
\begin{eqnarray}
k_{12}&=& k_{12}\big(\Delta x\big) \in \mathbb{R} ,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M29f"><label>(A.4f)</label><tex-math notation="LaTeX" id="Equation46"><![CDATA[$$
\begin{eqnarray}
c^{\,\mu}&=&
\left(  c^{0},\, c,\, c,\, c\right) \in \mathbb{R}^4,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M29g"><label>(A.4g)</label><tex-math notation="LaTeX" id="Equation47"><![CDATA[$$
\begin{eqnarray}
d^{\,\mu}&=&
\left(  d^{0},\, d,\, d,\, d\right) \in \mathbb{R}^4,
\end{eqnarray}
$$]]></tex-math></disp-formula>
with definition
<disp-formula id="ptaa168M30"><label>(A.5)</label><tex-math notation="LaTeX" id="Equation48"><![CDATA[$$
\begin{eqnarray}
\Delta x^{\,\mu}         &\equiv&
\widehat{x}^{\,\mu}_{2} -\widehat{x}^{\,\mu}_{1} .
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>Three remarks are in order. First, the <italic>same</italic> perturbation <inline-formula><tex-math notation="LaTeX" id="ImEquation194"><![CDATA[$\phi_{1}$]]></tex-math></inline-formula> appears in <italic>all</italic> four matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation195"><![CDATA[$A^{\,\mu}$]]></tex-math></inline-formula>, and similarly for <inline-formula><tex-math notation="LaTeX" id="ImEquation196"><![CDATA[$\phi_{2}$]]></tex-math></inline-formula>. Second, the parameter <inline-formula><tex-math notation="LaTeX" id="ImEquation197"><![CDATA[$k_{12}$]]></tex-math></inline-formula> depends on the coordinate distance <inline-formula><tex-math notation="LaTeX" id="ImEquation198"><![CDATA[$\Delta x^{\,\mu}$]]></tex-math></inline-formula> and is assumed to drop rapidly as this distance increases (otherwise, the emerging scalar theory does not make sense [<xref ref-type="bibr" rid="B25">25</xref>]). Third, the matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation199"><![CDATA[$A^{\,\mu}$]]></tex-math></inline-formula> reduce, for <inline-formula><tex-math notation="LaTeX" id="ImEquation200"><![CDATA[$\phi_{1}=\phi_{2}=0$]]></tex-math></inline-formula>, to diagonal matrices with approximately the same eigenvalues as the master-field matrices (<xref ref-type="disp-formula" rid="ptaa168M28a">A.3</xref>), which were assumed to be band-diagonal.</p>
<p>Next, insert the perturbation matrices <inline-formula><tex-math notation="LaTeX" id="ImEquation201"><![CDATA[$A^{\,\mu}$]]></tex-math></inline-formula> from Eq. (<xref ref-type="disp-formula" rid="ptaa168M29a">A.4</xref>) in the bosonic action (<xref ref-type="disp-formula" rid="ptaa168M1a">1</xref>) and find
<disp-formula id="ptaa168M31"><label>(A.6)</label><tex-math notation="LaTeX" id="Equation49"><![CDATA[$$
\begin{eqnarray}\label{eq:Sb-phi-perturbations-N-is-6}
S_b\,\Big|^\text{(pert)} &=&
\frac{1}{2}\,\Big[
3\,\left(\Delta x^{0}\right)^{2}
-\left(\Delta x^{1}\right)^{2}
-\left(\Delta x^{3}\right)^{2}
-\left(\Delta x^{1}\right)^{2}
- 2\,\Delta x^{0}\,\left( \Delta x^{1} + \Delta x^{2} +  \Delta x^{3} \right) 
\nonumber\\[1mm]
&&
+ 2\,\Delta x^{1}\,\Delta x^{2}
+ 2\,\Delta x^{2}\,\Delta x^{3}
+ 2\,\Delta x^{3}\,\Delta x^{1}
\Big]\;
\Big(k_{12}\big(\Delta x\big)\Big)^{2}\, {\left( \phi_{1} - \phi_{2} \right) }^{2}
\nonumber\\[1mm]
&&
+\frac{2}{3}\,{\ell}^{-4}\,{(c^{0}-c)}^{2}\,{\phi_{1}}^4\,
       {\left( {\ell}^{2} - {\phi_{1}}^{2} \right) }^{2}
+ \frac{2}{3}\,{\ell}^{-4}\,{(d^{0}-d)}^{2}\,{\phi_{2}}^4\,
       {\left( {\ell}^{2} - {\phi_{2}}^{2} \right) }^{2}.
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>Apparently, we have already recovered the &#x201C;kinetic&#x201D; term <inline-formula><tex-math notation="LaTeX" id="ImEquation202"><![CDATA[$\left(\sigma_{1}-\sigma_{2}\right)^{2}$]]></tex-math></inline-formula> of Eq. (<xref ref-type="disp-formula" rid="ptaa168M24">24</xref>), which gives rise to the emergent inverse metric (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>). The mass-squared terms <inline-formula><tex-math notation="LaTeX" id="ImEquation203"><![CDATA[${\sigma_{1}}^{2}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation204"><![CDATA[${\sigma_{2}}^{2}$]]></tex-math></inline-formula> of Eq. (<xref ref-type="disp-formula" rid="ptaa168M24">24</xref>) result from spontaneous symmetry breaking, at least for the simple model considered. Indeed, with shifted scalar variables,
<disp-formula id="ptaa168M32"><label>(A.7)</label><tex-math notation="LaTeX" id="Equation50"><![CDATA[$$
\begin{equation}\label{eq:shifted-scalar-variables}
\phi_{1} =\ell+\chi_{1},
\quad
\phi_{2} =\ell+\chi_{2},
\end{equation}
$$]]></tex-math></disp-formula>
the effective action (<xref ref-type="disp-formula" rid="ptaa168M31">A.6</xref>) becomes, in a shorthand notation,
<disp-formula id="ptaa168M33"><label>(A.8)</label><tex-math notation="LaTeX" id="Equation51"><![CDATA[$$
\begin{eqnarray}
S_b\,\Big|^\text{(pert)} &=&
\frac{1}{2}\,
\Big[ \cdots \Big]\;
\Big(k_{12}\big(\Delta x\big)\Big)^{2}\, {\big( \chi_{1} - \chi_{2} \big) }^{2}
\nonumber\\[1mm]&&
+\, 6\,\big(c^{0}-c\big)^{2}\,\ell^{2}\,{\chi_{1}}^{2}
+ 6\,\big(d^{0}-d\big)^{2}\,\ell^{2}\,{\chi_{2}}^{2} + \cdots,
\end{eqnarray}
$$]]></tex-math></disp-formula>
where the ellipsis at the end stands for cubic and higher-order self-interaction terms of the scalars <inline-formula><tex-math notation="LaTeX" id="ImEquation205"><![CDATA[$\chi_{1}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation206"><![CDATA[$\chi_{2}$]]></tex-math></inline-formula>. Note that the square bracket in Eq. (<xref ref-type="disp-formula" rid="ptaa168M33">A.8</xref>), which is explicitly shown in Eq. (<xref ref-type="disp-formula" rid="ptaa168M31">A.6</xref>), can be positive, zero, or negative, whereas the mass-square terms in Eq. (<xref ref-type="disp-formula" rid="ptaa168M33">A.8</xref>) are strictly nonnegative. The indefinite sign of the square bracket in Eqs. (<xref ref-type="disp-formula" rid="ptaa168M31">A.6</xref>) and (<xref ref-type="disp-formula" rid="ptaa168M33">A.8</xref>) traces back to the Lorentzian &#x201C;signature&#x201D; of the coupling constants (<xref ref-type="disp-formula" rid="ptaa168M1b">1b</xref>) in the IIB matrix model.</p>
<p>By adding appropriate (generalized) blocks to Eq. (<xref ref-type="disp-formula" rid="ptaa168M29a">A.4a</xref>) we can easily obtain matrices with larger values of <inline-formula><tex-math notation="LaTeX" id="ImEquation207"><![CDATA[$N$]]></tex-math></inline-formula>. In this way, we keep essentially the same properties as discussed for the <inline-formula><tex-math notation="LaTeX" id="ImEquation208"><![CDATA[$(N,\,n)=(6,\,3)$]]></tex-math></inline-formula> case and obtain, in particular, an effective action with kinetic terms as shown in Eq. (<xref ref-type="disp-formula" rid="ptaa168M24">24</xref>), but now in terms of scalars <inline-formula><tex-math notation="LaTeX" id="ImEquation209"><![CDATA[$\chi_k$]]></tex-math></inline-formula>.</p>
</sec>
<sec id="SEC8"><title>Appendix B. Emergent Lorentzian signature</title>
<p>In this appendix, we present some details of the 2D toy-model calculation for the emergent inverse metric mentioned in Sect. <xref ref-type="sec" rid="SEC5">5</xref>. The aim of this 2D toy-model calculation is to present a possible mechanism for obtaining, in the emergent inverse metric, two eigenvalues with opposite signs. For completeness, we will also discuss an extended 4D toy-model calculation, which is slightly more realistic as it allows for a direct interpolation between the standard 4D Euclidean inverse metric and the standard 4D Minkowski inverse metric. Throughout this appendix, we use length units that set the IIB-matrix-model length scale to unity, <inline-formula><tex-math notation="LaTeX" id="ImEquation210"><![CDATA[$\ell=1$]]></tex-math></inline-formula>.</p>
<p>Both calculations start from the multiple integral (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) for spacetime dimension <inline-formula><tex-math notation="LaTeX" id="ImEquation211"><![CDATA[$D=2$]]></tex-math></inline-formula> or <inline-formula><tex-math notation="LaTeX" id="ImEquation212"><![CDATA[$4$]]></tex-math></inline-formula> at the spacetime point
<disp-formula id="ptaa168M34a"><label>(B.1a)</label><tex-math notation="LaTeX" id="Equation52"><![CDATA[$$
\begin{eqnarray} \label{eq:appB-assumptions-xmu-equals-zero}
x^{\mu} &=& 0 ,
 \end{eqnarray}
$$]]></tex-math></disp-formula>
with a simplified integrand having
<disp-formula id="ptaa168M34b"><label>(B.1b)</label><tex-math notation="LaTeX" id="Equation53"><![CDATA[$$
\begin{eqnarray} \label{eq:appB-assumptions-rho-av-equals-1}
\langle\langle\, \rho(y)  \,\rangle\rangle&=& 1,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M34c"><label>(B.1c)</label><tex-math notation="LaTeX" id="Equation54"><![CDATA[$$
\begin{eqnarray}\label{eq:appB-assumptions-r-equals-1}
r(x,\,y)&=& 1,
\end{eqnarray}
$$]]></tex-math></disp-formula>
and symmetric cutoffs on the integrals,
<disp-formula id="ptaa168M34d"><label>(B.1d)</label><tex-math notation="LaTeX" id="Equation55"><![CDATA[$$
\begin{eqnarray} \label{eq:appB-assumptions-symmetric-cutoffs}
\int_{-1}^{1} dy^{0}\cdots\int_{-1}^{1} dy^{D-1}.
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>The only nontrivial contribution to the integrand of Eq. (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) then comes from the correlation function <inline-formula><tex-math notation="LaTeX" id="ImEquation213"><![CDATA[$f(x-y)$]]></tex-math></inline-formula>, for which we will make two Ans&#x00E4;tze.</p>
<sec id="SEC8.1"><title>B.1. 2D calculation</title>
<p>For the first toy-model calculation, we take
<disp-formula id="ptaa168M35a"><label>(B.2a)</label><tex-math notation="LaTeX" id="Equation56"><![CDATA[$$
\begin{eqnarray}\label{eq:D-is-2}
D&=&2,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M35b"><label>(B.2b)</label><tex-math notation="LaTeX" id="Equation57"><![CDATA[$$
\begin{eqnarray}\label{eq:ftest2}
f_\text{test,2}(y)&=& \alpha + y^{0}\,y^{1},
\end{eqnarray}
$$]]></tex-math></disp-formula>
where the Ansatz function (<xref ref-type="disp-formula" rid="ptaa168M35b">B.2b</xref>) combines a term that is even in both <inline-formula><tex-math notation="LaTeX" id="ImEquation214"><![CDATA[$y^{0}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation215"><![CDATA[$y^{1}$]]></tex-math></inline-formula> with a term that is odd in both <inline-formula><tex-math notation="LaTeX" id="ImEquation216"><![CDATA[$y^{0}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation217"><![CDATA[$y^{1}$]]></tex-math></inline-formula>. From Eq. (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) with simplifications (<xref ref-type="disp-formula" rid="ptaa168M34a">B.1</xref>), we then get the following multiple integral for the emerging inverse metric:
<disp-formula id="ptaa168M36"><label>(B.3)</label><tex-math notation="LaTeX" id="Equation58"><![CDATA[$$
\begin{equation}\label{eq:inv-metric-test2-integrals}
g^{\mu\nu}_\text{test,2}(0) =
\int_{-1}^{1} dy^{0} \int_{-1}^{1} dy^{1}\; y^{\mu}\,y^{\nu}\;f_\text{test,2}(y).
\end{equation}
$$]]></tex-math></disp-formula></p>
<p>The integrals are trivial and we obtain the inverse metric
<disp-formula id="ptaa168M37a"><label>(B.4a)</label><tex-math notation="LaTeX" id="Equation59"><![CDATA[$$
\begin{eqnarray} \label{eq:inv-metric-test2-result}
g^{\mu\nu}_{\alpha} (0)
&=&
\left(\begin{array}{cc}
    \;\;4\,\alpha/3\;\; & 4/9 \\[1mm]
    4/9 & \;\;4\,\alpha/3\;\;\\
  \end{array}\right)\!,
\end{eqnarray}
$$]]></tex-math></disp-formula>
which has the following set of eigenvalues:
<disp-formula id="ptaa168M37b"><label>(B.4b)</label><tex-math notation="LaTeX" id="Equation60"><![CDATA[$$
\begin{eqnarray} \label{eq:inv-metric-test2-eigenval}
\mathcal{E}_{\alpha} &=&
\frac{4}{9}\,
\Big\{\big(3\,\alpha-1 \big) ,\, \big(3\,\alpha+1 \big)\Big\}.
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>We now introduce an interpolation parameter <inline-formula><tex-math notation="LaTeX" id="ImEquation218"><![CDATA[$\rho$]]></tex-math></inline-formula>,
<disp-formula id="ptaa168M38a"><label>(B.5a)</label><tex-math notation="LaTeX" id="Equation61"><![CDATA[$$
\begin{eqnarray}
\alpha(\rho) &=& 1-\rho,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M38b"><label>(B.5b)</label><tex-math notation="LaTeX" id="Equation62"><![CDATA[$$
\begin{eqnarray}
\rho &\in& [0,\,1],
\end{eqnarray}
$$]]></tex-math></disp-formula>
so that the inverse metric (<xref ref-type="disp-formula" rid="ptaa168M37a">B.4a</xref>) and its eigenvalues (<xref ref-type="disp-formula" rid="ptaa168M37b">B.4b</xref>) are given by
<disp-formula id="ptaa168M39a"><label>(B.6a)</label><tex-math notation="LaTeX" id="Equation63"><![CDATA[$$
\begin{eqnarray} \label{eq:inv-metric-test2-result-rho}
g^{\mu\nu}_{\rho}(0)
&=&
\left(\begin{array}{cc}
    \;\;4\,(1-\rho)/3\;\; & 4/9 \\[1mm]
    4/9 & \;\;4\,(1-\rho)/3\;\; \\
  \end{array}\right)\!,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M39b"><label>(B.6b)</label><tex-math notation="LaTeX" id="Equation64"><![CDATA[$$
\begin{eqnarray}\label{eq:inv-metric-test2-eigenval-rho}
\mathcal{E}_{\rho} &=&
\frac{4}{9}\,
\Big\{\big(2-3\,\rho \big) ,\, \big(4-3\,\rho \big)\Big\}.
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>We see that we have obtained an inverse metric that interpolates between a Euclidean signature for <inline-formula><tex-math notation="LaTeX" id="ImEquation219"><![CDATA[$\rho = 0$]]></tex-math></inline-formula> and a Lorentzian signature for <inline-formula><tex-math notation="LaTeX" id="ImEquation220"><![CDATA[$\rho = 1$]]></tex-math></inline-formula>:
<disp-formula id="ptaa168M40a"><label>(B.7a)</label><tex-math notation="LaTeX" id="Equation65"><![CDATA[$$
\begin{eqnarray} \label{eq:inv-metric-test2-rho-0}
\mathcal{E}_{\rho=0} &=& \Big\{ 8/9 ,\, 16/9 \Big\},
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M40b"><label>(B.7b)</label><tex-math notation="LaTeX" id="Equation66"><![CDATA[$$
\begin{eqnarray}\label{eq:inv-metric-test2-rho-1}
\mathcal{E}_{\rho=1} &=& \Big\{ -4/9 ,\, 4/9 \Big\}.
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>At <inline-formula><tex-math notation="LaTeX" id="ImEquation221"><![CDATA[$\rho=2/3$]]></tex-math></inline-formula>, the inverse metric (<xref ref-type="disp-formula" rid="ptaa168M39a">B.6</xref>) is degenerate, with a vanishing determinant.</p>
<p>The origin of the Lorentzian signature (<xref ref-type="disp-formula" rid="ptaa168M40b">B.7b</xref>) is easy to understand. For <inline-formula><tex-math notation="LaTeX" id="ImEquation222"><![CDATA[$\rho=1$]]></tex-math></inline-formula>, the Ansatz parameter <inline-formula><tex-math notation="LaTeX" id="ImEquation223"><![CDATA[$\alpha=1-\rho$]]></tex-math></inline-formula> in Eq. (<xref ref-type="disp-formula" rid="ptaa168M35b">B.2b</xref>) equals zero, so that the integrand of Eq. (<xref ref-type="disp-formula" rid="ptaa168M36">B.3</xref>) becomes simply <inline-formula><tex-math notation="LaTeX" id="ImEquation224"><![CDATA[$y^{\mu}\,y^{\nu}\;y^{0}\,y^{1}$]]></tex-math></inline-formula>. The symmetric integrals (<xref ref-type="disp-formula" rid="ptaa168M36">B.3</xref>) then vanish unless <inline-formula><tex-math notation="LaTeX" id="ImEquation225"><![CDATA[$\{\mu,\,\nu\}=\{0,\,1\}$]]></tex-math></inline-formula> or <inline-formula><tex-math notation="LaTeX" id="ImEquation226"><![CDATA[$\{\mu,\,\nu\}=\{1,\,0\}$]]></tex-math></inline-formula>. In other words, the matrix for the emergent inverse metric (<xref ref-type="disp-formula" rid="ptaa168M36">B.3</xref>) is off-diagonal with entries <inline-formula><tex-math notation="LaTeX" id="ImEquation227"><![CDATA[$(2/3)^{2}=4/9$]]></tex-math></inline-formula>, so that the eigenvalues are <inline-formula><tex-math notation="LaTeX" id="ImEquation228"><![CDATA[$\pm 4/9$]]></tex-math></inline-formula>. The off-diagonal matrix structure traces back to the assumption that the correlation function <inline-formula><tex-math notation="LaTeX" id="ImEquation229"><![CDATA[$f(y)$]]></tex-math></inline-formula>, for <inline-formula><tex-math notation="LaTeX" id="ImEquation230"><![CDATA[$\rho=1$]]></tex-math></inline-formula> or <inline-formula><tex-math notation="LaTeX" id="ImEquation231"><![CDATA[$\alpha=0$]]></tex-math></inline-formula>, is given by a single monomial <inline-formula><tex-math notation="LaTeX" id="ImEquation232"><![CDATA[$y^{0}\,y^{1}$]]></tex-math></inline-formula>, which is odd in both <inline-formula><tex-math notation="LaTeX" id="ImEquation233"><![CDATA[$y^{0}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation234"><![CDATA[$y^{1}$]]></tex-math></inline-formula>.</p>
<p>A final remark on this 2D calculation of a Lorentzian signature is in order. From the <inline-formula><tex-math notation="LaTeX" id="ImEquation235"><![CDATA[$\rho = 1$]]></tex-math></inline-formula> inverse metric (<xref ref-type="disp-formula" rid="ptaa168M39a">B.6a</xref>), we obtain, after a suitable coordinate transformation (with <inline-formula><tex-math notation="LaTeX" id="ImEquation236"><![CDATA[$g^{\mu\nu} \to g^{\;\prime\;\mu\nu}$]]></tex-math></inline-formula>) and a rescaling of <inline-formula><tex-math notation="LaTeX" id="ImEquation237"><![CDATA[$x^{0}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation238"><![CDATA[$x^{1}$]]></tex-math></inline-formula> by an identical factor (here, a factor <inline-formula><tex-math notation="LaTeX" id="ImEquation239"><![CDATA[$2/3$]]></tex-math></inline-formula>), the standard Minkowski form, <inline-formula><tex-math notation="LaTeX" id="ImEquation240"><![CDATA[$g^{\;\prime\;\mu\nu}=\text{diag}(-1,\,1)$]]></tex-math></inline-formula>. Instead of rescaling the coordinates, it is also possible, for this simple case, to multiply the Ansatz function (<xref ref-type="disp-formula" rid="ptaa168M35b">B.2b</xref>) by an appropriate overall factor (here, a factor 9/4).</p>
</sec>
<sec id="SEC8.2"><title>B.2. 4D calculation</title>
<p>For the second toy-model calculation, we take
<disp-formula id="ptaa168M41a"><label>(B.8a)</label><tex-math notation="LaTeX" id="Equation67"><![CDATA[$$
\begin{eqnarray}\label{eq:D-is-4-}
D&=& 4,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M41b"><label>(B.8b)</label><tex-math notation="LaTeX" id="Equation68"><![CDATA[$$
\begin{eqnarray}\label{eq:ftest4}
f_\text{test,4}(y)&=&
\alpha +\beta\,\Big[\big(y^{2}\big)^{2}+\big(y^{3}\big)^{2}\Big]
+ \gamma\,y^{0}\,y^{1},
\end{eqnarray}
$$]]></tex-math></disp-formula>
where the Ansatz function (<xref ref-type="disp-formula" rid="ptaa168M41b">B.8b</xref>) combines two terms that are even in both <inline-formula><tex-math notation="LaTeX" id="ImEquation241"><![CDATA[$y^{0}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation242"><![CDATA[$y^{1}$]]></tex-math></inline-formula> with one term that is odd in both <inline-formula><tex-math notation="LaTeX" id="ImEquation243"><![CDATA[$y^{0}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation244"><![CDATA[$y^{1}$]]></tex-math></inline-formula>. From Eq. (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) with simplifications (<xref ref-type="disp-formula" rid="ptaa168M34a">B.1</xref>), we then get the emergent inverse metric
<disp-formula id="ptaa168M42"><label>(B.9)</label><tex-math notation="LaTeX" id="Equation69"><![CDATA[$$
\begin{equation}\label{eq:inv-metric-test4-integrals}
g^{\mu\nu}_\text{test,4}(0) =
\int_{-1}^{1} dy^{0} \int_{-1}^{1} dy^{1} \int_{-1}^{1} dy^{2} \int_{-1}^{1} dy^{3}
\; y^{\mu}\,y^{\nu}\;f_\text{test,4}(y).
\end{equation}
$$]]></tex-math></disp-formula></p>
<p>Again, the integrals are trivial and we obtain
<disp-formula id="ptaa168M43a"><label>(B.10a)</label><tex-math notation="LaTeX" id="Equation70"><![CDATA[$$
\begin{eqnarray} \label{eq:inv-metric-test4-result}
g^{\mu\nu}_{\alpha\beta\gamma}(0)
&=&
\frac{16}{9}\,
\left(
  \begin{array}{cccc}
\;3\,\alpha+2\,\beta\;\ & \gamma & 0 & 0\\
\gamma & \;3\,\alpha+2\,\beta\; & 0 & 0\\
0 & 0 &  \;3\,\alpha+(14/5)\,\beta\; &  0\\
0 & 0 & 0 &\;3\,\alpha+(14/5)\,\beta\;\\
  \end{array}
\right)\!,
\end{eqnarray}
$$]]></tex-math></disp-formula>
which has the following set of eigenvalues:
<disp-formula id="ptaa168M43b"><label>(B.10b)</label><tex-math notation="LaTeX" id="Equation71"><![CDATA[$$
\begin{eqnarray} \label{eq:inv-metric-test4-eigenval}
\mathcal{E}_{\alpha\beta\gamma} &=&
\frac{16}{9}\,\left\{
\Big( 3\,\alpha + 2\,\beta + \gamma \Big),\,
\Big( 3\,\alpha + 2\,\beta - \gamma \Big),\,
\left( 3\,\alpha + \frac{14}{5}\,\beta \right)\!,\,
\left( 3\,\alpha + \frac{14}{5}\,\beta \right)
\right\}.
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>Let us now introduce an interpolation parameter <inline-formula><tex-math notation="LaTeX" id="ImEquation245"><![CDATA[$\sigma$]]></tex-math></inline-formula>,
<disp-formula id="ptaa168M44a"><label>(B.11a)</label><tex-math notation="LaTeX" id="Equation72"><![CDATA[$$
\begin{eqnarray}
\alpha(\sigma)&=&\frac{3}{32}\,\big( 2-7\,\sigma  \big),
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M44b"><label>(B.11b)</label><tex-math notation="LaTeX" id="Equation73"><![CDATA[$$
\begin{eqnarray}
\beta(\sigma) &=& \frac{45}{64}\,\sigma ,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M44c"><label>(B.11c)</label><tex-math notation="LaTeX" id="Equation74"><![CDATA[$$
\begin{eqnarray}
\gamma(\sigma) &=& -\frac{9}{16}\,\sigma ,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M44d"><label>(B.11d)</label><tex-math notation="LaTeX" id="Equation75"><![CDATA[$$
\begin{eqnarray}
\sigma &\in& [0,\,1],
\end{eqnarray}
$$]]></tex-math></disp-formula>
so that the inverse metric (<xref ref-type="disp-formula" rid="ptaa168M43a">B.10a</xref>) and its eigenvalues (<xref ref-type="disp-formula" rid="ptaa168M43b">B.10b</xref>) are given by
<disp-formula id="ptaa168M45a"><label>(B.12a)</label><tex-math notation="LaTeX" id="Equation76"><![CDATA[$$
\begin{eqnarray}\label{eq:inv-metric-test4-matrix-sigma}
g^{\mu\nu}_{\sigma}(0)
&=&
\left(
  \begin{array}{cccc}
    \;\;1 - \sigma\;\; & \;\;-\sigma\;\; & \;0\;\; & \;0\;\;\\
    -\sigma & \;\;1 - \sigma\;\; & 0 & 0 \\
    0 & 0 & 1 & 0 \\
    0 & 0 & 0 & 1 \\
  \end{array}
\right)\!,
\\[1.0mm]
\end{eqnarray}
$$]]></tex-math></disp-formula>
<disp-formula id="ptaa168M45b"><label>(B.12b)</label><tex-math notation="LaTeX" id="Equation77"><![CDATA[$$
\begin{eqnarray}\label{eq:inv-metric-test4-eigenval-sigma}
\mathcal{E}_{\sigma} &=&
\Big\{ 1-2\,\sigma,\,1,\, 1,\, 1  \Big\}.
\end{eqnarray}
$$]]></tex-math></disp-formula></p>
<p>From Eq. (<xref ref-type="disp-formula" rid="ptaa168M45a">B.12a</xref>) for <inline-formula><tex-math notation="LaTeX" id="ImEquation246"><![CDATA[$\sigma=0$]]></tex-math></inline-formula>, we immediately have the standard Euclidean inverse metric,
<disp-formula id="ptaa168M46a"><label>(B.13a)</label><tex-math notation="LaTeX" id="Equation78"><![CDATA[$$
\begin{equation}
g^{\mu\nu}_{\sigma=0}(0)=\text{diag} \Big(1,\, 1,\, 1,\, 1\Big),
\end{equation}
$$]]></tex-math></disp-formula>
while, from Eq. (<xref ref-type="disp-formula" rid="ptaa168M45a">B.12a</xref>) for <inline-formula><tex-math notation="LaTeX" id="ImEquation247"><![CDATA[$\sigma=1$]]></tex-math></inline-formula>, we obtain, after a suitable coordinate transformation (with <inline-formula><tex-math notation="LaTeX" id="ImEquation248"><![CDATA[$g^{\mu\nu} \to g^{\;\prime\;\mu\nu}$]]></tex-math></inline-formula>), the standard Minkowski inverse metric,
<disp-formula id="ptaa168M46b"><label>(B.13b)</label><tex-math notation="LaTeX" id="Equation79"><![CDATA[$$
\begin{equation}
g^{\;\prime\;\mu\nu}_{\sigma=1}(0) = \text{diag} \Big(-1,\, 1,\, 1,\, 1\Big).
\end{equation}
$$]]></tex-math></disp-formula></p>
<p>Again, we interpolate smoothly between a Euclidean signature (<inline-formula><tex-math notation="LaTeX" id="ImEquation249"><![CDATA[$\sigma=0$]]></tex-math></inline-formula>) and a Lorentzian signature (<inline-formula><tex-math notation="LaTeX" id="ImEquation250"><![CDATA[$\sigma=1$]]></tex-math></inline-formula>). At <inline-formula><tex-math notation="LaTeX" id="ImEquation251"><![CDATA[$\sigma=1/2$]]></tex-math></inline-formula>, the inverse metric (<xref ref-type="disp-formula" rid="ptaa168M45a">B.12</xref>) is degenerate, with a vanishing determinant.</p>
<p>The expression (<xref ref-type="disp-formula" rid="ptaa168M21">21</xref>) for the emergent inverse metric, first proposed in Ref. [<xref ref-type="bibr" rid="B2">2</xref>] and reinterpreted in the present paper, has the potential to give either a Euclidean or a Lorentzian inverse metric, depending on the functional behavior of the correlation functions <inline-formula><tex-math notation="LaTeX" id="ImEquation252"><![CDATA[$r(x,\,y)$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation253"><![CDATA[$f(x-y)$]]></tex-math></inline-formula>, which result from the detailed structure of the emerging spacetime points. In principle, it is even possible to get a Lorentzian emergent inverse metric from a Euclidean IIB matrix model, provided that the correlation functions have the appropriate structure [a Euclidean toy-model calculation for <inline-formula><tex-math notation="LaTeX" id="ImEquation254"><![CDATA[$D=4$]]></tex-math></inline-formula> may give the inverse metric ((<xref ref-type="disp-formula" rid="ptaa168M42">B.9</xref>)) with <inline-formula><tex-math notation="LaTeX" id="ImEquation255"><![CDATA[$y^{0}$]]></tex-math></inline-formula> replaced by <inline-formula><tex-math notation="LaTeX" id="ImEquation256"><![CDATA[$y^{4}$]]></tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX" id="ImEquation257"><![CDATA[$f_\text{test,4}(y)$]]></tex-math></inline-formula> by <inline-formula><tex-math notation="LaTeX" id="ImEquation258"><![CDATA[$f_\text{test,E4}(y)= 1 - \gamma (y^{1} y^{2} + y^{1} y^{3} + y^{1} y^{4} + y^{2} y^{3} + y^{2} y^{4} + y^{3} y^{4})$]]></tex-math></inline-formula>, and then finds the Lorentzian signature <inline-formula><tex-math notation="LaTeX" id="ImEquation259"><![CDATA[$(- + + + )$]]></tex-math></inline-formula> for parameter values <inline-formula><tex-math notation="LaTeX" id="ImEquation260"><![CDATA[$\gamma>1$]]></tex-math></inline-formula>]. This last observation, if applicable, would remove the need for working with the (possibly more difficult) Lorentzian IIB matrix model and the first two of the five preliminary remarks in Sect. <xref ref-type="sec" rid="SEC1">1</xref> would no longer apply.</p>
</sec>
</sec>
</app>
</app-group>
<ref-list id="ref1">
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