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Boundary mutual information in double holography

Yuxuan Liu, Yi Ling, Zhuo-Yu Xian

TL;DR

This paper analyzes the boundary mutual information between two disjoint subregions in a doubly holographic setup where AdS$_3$ gravity is coupled to a flat heat bath. BMI is computed via quantum extremal surfaces and Surface Evolver, revealing a phase transition as subregion separation grows and a robust decomposition into a geometric (surface-area) term and a negative bulk correction from brane/bulk quantum fields. The semiclassical limit shows universal logarithmic behavior with coefficients tied to central charges, while numerical results confirm the phase structure and the sign of the bulk term. A RTN toy model corroborates the negativity and provides an intuitive information-theoretic explanation in terms of volume-law entanglement of the bulk with the bath. The findings illuminate how geometry and bulk entanglement jointly shape BMI in double holography and suggest directions for finite-temperature extensions and other information measures.

Abstract

We consider a composite system where AdS$_3$ gravity is coupled to a flat heat bath and investigate the mutual information between two subregions on the intersection of the AdS$_3$ and bath, referred to as the boundary mutual information (BMI). The corresponding entanglement entropy is captured via quantum extremal surfaces (QES), which holographically be computed by a surface optimization algorithm based on ``Surface Evolver''. We focus on both connected and disconnected configurations of the quantum entanglement wedge (Q-EW) in the AdS$_3$ bulk and analyze the finite corrections to the BMI. Our numerical results reveal a phase transition of the BMI as the separation between two subregions increases. Furthermore, we find that the BMI can naturally be decomposed into two distinct components: a geometric term arising from the areas of the quantum extremal surfaces, and a correction term resulting from bulk quantum fields within the Q-EW. Interestingly, the geometric contribution always exceeds the total BMI, indicating a negative correction from the bulk matter fields. This negativity can be understood as the result of subtracting a greater contribution from quantum fields in the connected Q-EW than in the disconnected one. We also reproduce the negative contribution of bulk quantum fields to BMI within a random tensor network (RTN) toy model of double holography. Modeling the bulk as a highly mixed state entangled with a large bath leads to a volume-law bulk entropy. In the large bond-dimension limit, the geometric part of the BMI remains non-negative, while the bulk entropy contribution becomes non-positive when the Q-EWs merge.

Boundary mutual information in double holography

TL;DR

This paper analyzes the boundary mutual information between two disjoint subregions in a doubly holographic setup where AdS gravity is coupled to a flat heat bath. BMI is computed via quantum extremal surfaces and Surface Evolver, revealing a phase transition as subregion separation grows and a robust decomposition into a geometric (surface-area) term and a negative bulk correction from brane/bulk quantum fields. The semiclassical limit shows universal logarithmic behavior with coefficients tied to central charges, while numerical results confirm the phase structure and the sign of the bulk term. A RTN toy model corroborates the negativity and provides an intuitive information-theoretic explanation in terms of volume-law entanglement of the bulk with the bath. The findings illuminate how geometry and bulk entanglement jointly shape BMI in double holography and suggest directions for finite-temperature extensions and other information measures.

Abstract

We consider a composite system where AdS gravity is coupled to a flat heat bath and investigate the mutual information between two subregions on the intersection of the AdS and bath, referred to as the boundary mutual information (BMI). The corresponding entanglement entropy is captured via quantum extremal surfaces (QES), which holographically be computed by a surface optimization algorithm based on ``Surface Evolver''. We focus on both connected and disconnected configurations of the quantum entanglement wedge (Q-EW) in the AdS bulk and analyze the finite corrections to the BMI. Our numerical results reveal a phase transition of the BMI as the separation between two subregions increases. Furthermore, we find that the BMI can naturally be decomposed into two distinct components: a geometric term arising from the areas of the quantum extremal surfaces, and a correction term resulting from bulk quantum fields within the Q-EW. Interestingly, the geometric contribution always exceeds the total BMI, indicating a negative correction from the bulk matter fields. This negativity can be understood as the result of subtracting a greater contribution from quantum fields in the connected Q-EW than in the disconnected one. We also reproduce the negative contribution of bulk quantum fields to BMI within a random tensor network (RTN) toy model of double holography. Modeling the bulk as a highly mixed state entangled with a large bath leads to a volume-law bulk entropy. In the large bond-dimension limit, the geometric part of the BMI remains non-negative, while the bulk entropy contribution becomes non-positive when the Q-EWs merge.
Paper Structure (13 sections, 47 equations, 9 figures)

This paper contains 13 sections, 47 equations, 9 figures.

Figures (9)

  • Figure 1: The time slice of the AdS$_4$ spacetime with two separated branes.
  • Figure 2: (a) Boundary perspective: $\bm{A}$ is a region on $\partial\mathcal{B}$, located at the boundary of the heat bath $\partial$. (b) Brane perspective: $\gamma_{\bm{A}}$ and $\mathcal{W}$ represent the QES and the corresponding Q-EW on the brane. Curved arrows represent the contributions from quantum fields within $\mathcal{W}$. (c) Bulk gravity perspective: $\Gamma_{\bm{A}}$ represents the classical extremal surface bounded by $\gamma_{\bm{A}} \cup \bm{A}$; $l$ denotes the length of $\bm{A}$.
  • Figure 3: (a): The initial trial surface corresponding to a simply connected boundary region $\bm{A}$, anchored on $z=\epsilon$, constructed as a triangulated mesh. (b): The final minimal surface obtained after the optimization of the triangular facets via gradient descent in Surface Evolver. (c): A connected configuration of the RT surface for a disconnected boundary region $\bm{A}=\bm{A_1}\cup\bm{A_2}$ shown in red, also anchored on $z=\epsilon$. To properly account for all boundary degrees of freedom, the region $\bm{A}$ is regularized as a rectangular strip with nonzero width $x^*\simeq\epsilon\ll \textit{any other length scales}$, following the prescription outlined in Almheiri:2019hni.
  • Figure 4: (a): The entanglement entropy of a single region $\bm{A}$ depicted in blue as a function of $l$, where $l$ is the length of the region. The UV cutoff is fixed to be $\epsilon=0.01$, and the dihedral angle is set to $\theta_0=\pi/34$. The fitted geometric and correction contributions are overlaid in yellow and green, respectively. (b): The fitting coefficient $b_a$ associated with the logarithmic divergence is shown in blue, as a function of the dihedral angle $\theta_0$. The red curve represents the theoretical prediction for the ratio of central charges $c'/c$ from (\ref{['eq:ratio_of_central_charges']}). The difference between the fitting coefficient and the theoretical ratio is illustrated by the yellow dots.
  • Figure 5: (a): The entanglement entropy of two adjacent subregions $\bm{A}=\bm{A_1} \cup \bm{A_2}$ (blue curve) as a function of the dimensionless ratio $l/a$, with the UV cutoff fixed to be $\epsilon=0.01$, and the dihedral angle $\theta_0=\pi/26$. The numerically extracted geometric contribution (yellow) and correction term (green) are shown separately to illustrate their respective behaviors. (b): The fitting coefficient $b_a$ (blue dots) before the logarithmic divergence term is plotted as a function of the dihedral angle $\theta_0$, while the theoretical ratio of the central charges (red curve) is obtained from (\ref{['eq:ratio_of_central_charges']}). The discrepancy between the coefficient and the ratio is illustrated by the yellow dots, confirming convergence as $\theta_0\to0$.
  • ...and 4 more figures