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Geometric Characterization of Anisotropic Correlations via Mutual Information Tomography

Beau Leighton-Trudel

TL;DR

This work addresses how to characterize anisotropic correlations in a coordinate-invariant way by mapping short-distance mutual information to a local Riemannian metric. The authors show that a smooth metric emerges only when the MI follows an anisotropic inverse-quadratic law with $X_{loc}=2$, and they decompose the metric as $g_{ij} = \mathcal{V}^{2/D}\gamma_{ij}$ to separate volume from shape/shear. They introduce MI Tomography to reconstruct the local metric from directional MI measurements and validate it on an anisotropic 2D quantum harmonic lattice, where the recovered shape tensor $\gamma_{ij}$ quantitatively reflects the microscopic anisotropy $k_y/k_x$. This framework provides a coordinate-invariant tensor geometry of correlations and a practical protocol for probing anisotropic criticality and nematic-like order in quantum and statistical systems, with open-source code and data to enable broader use.

Abstract

Characterizing anisotropic correlations in quantum and statistical systems requires a coordinate-invariant framework. We introduce a geometric map based on the local informational line element, calibrated by the Euclidean benchmark scale $C_{\mathrm{vac}}$: $ds^{2} = C_{\mathrm{vac}}/I(x,x+ε)$. We prove that this map yields a smooth Riemannian structure $g_{ij}$ if and only if the short-distance mutual information (MI) follows the anisotropic inverse-quadratic law (local exponent $X_{\text{loc}}=2$). A key insight is that anisotropy is necessary to activate tensor geometry; isotropic MI forces conformal flatness $g_{ij} \propto δ_{ij}$, suppressing shear degrees of freedom. We employ a parameterization-invariant unimodular split $g_{ij} = V^{2/D}γ_{ij}$, which rigorously separates local density fluctuations (volume $V$) from directional anisotropy (shape/shear $γ_{ij}$). We introduce ``MI Tomography,'' an operational protocol to reconstruct these geometric components from finite directional measurements. The protocol is validated using the equal-time ground state of an anisotropic 2D quantum harmonic lattice (massless relativistic scalar) on a torus, where the reconstructed shape tensor $γ_{ij}$ quantitatively recovers the physical coupling anisotropy. We work strictly in the local, fixed-coarse-graining $X_{\text{loc}}=2$ branch; the line element is used solely to extract the local kinematic structure (the local metric tensor), deferring global distance claims.

Geometric Characterization of Anisotropic Correlations via Mutual Information Tomography

TL;DR

This work addresses how to characterize anisotropic correlations in a coordinate-invariant way by mapping short-distance mutual information to a local Riemannian metric. The authors show that a smooth metric emerges only when the MI follows an anisotropic inverse-quadratic law with , and they decompose the metric as to separate volume from shape/shear. They introduce MI Tomography to reconstruct the local metric from directional MI measurements and validate it on an anisotropic 2D quantum harmonic lattice, where the recovered shape tensor quantitatively reflects the microscopic anisotropy . This framework provides a coordinate-invariant tensor geometry of correlations and a practical protocol for probing anisotropic criticality and nematic-like order in quantum and statistical systems, with open-source code and data to enable broader use.

Abstract

Characterizing anisotropic correlations in quantum and statistical systems requires a coordinate-invariant framework. We introduce a geometric map based on the local informational line element, calibrated by the Euclidean benchmark scale : . We prove that this map yields a smooth Riemannian structure if and only if the short-distance mutual information (MI) follows the anisotropic inverse-quadratic law (local exponent ). A key insight is that anisotropy is necessary to activate tensor geometry; isotropic MI forces conformal flatness , suppressing shear degrees of freedom. We employ a parameterization-invariant unimodular split , which rigorously separates local density fluctuations (volume ) from directional anisotropy (shape/shear ). We introduce ``MI Tomography,'' an operational protocol to reconstruct these geometric components from finite directional measurements. The protocol is validated using the equal-time ground state of an anisotropic 2D quantum harmonic lattice (massless relativistic scalar) on a torus, where the reconstructed shape tensor quantitatively recovers the physical coupling anisotropy. We work strictly in the local, fixed-coarse-graining branch; the line element is used solely to extract the local kinematic structure (the local metric tensor), deferring global distance claims.

Paper Structure

This paper contains 5 sections, 12 equations, 1 figure.

Figures (1)

  • Figure 1: Mutual information tomography on the ground state of an anisotropic 2D quantum harmonic lattice (free scalar). (a) Reconstructed unimodular shape anisotropy, quantified by the eigenvalue ratio $\lambda_x/\lambda_y$ of the shape tensor $\gamma_{ij}$, versus the microscopic coupling ratio $k_y/k_x$ for an $L=2048$ lattice with $m=10^{-3}$, $\ell=1$, and sampling radius $\rho=50$. Open symbols denote all validated runs; filled symbols highlight the "core" subset with $|X_{\mathrm{loc}}-2|\le 0.05$ and DT2 $\le 1\%$. The dashed line is the parameter-free prediction $g_{ij}\propto h_{ij}$ with $h_{ij}\propto\mathrm{diag}(1/k_x,1/k_y)$. (b) Diagnostics for the same runs: normalized DT2 polarization residual (squares) and eigenframe misalignment relative to the lattice axes (triangles), plotted as functions of $k_y/k_x$. Horizontal dashed lines indicate the tolerance thresholds DT2 $=1\%$ and misalignment $=0.5^\circ$ used to define the core subset.