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A Geometric Theory of Cosmological Structure via Entropic Curvature in Wasserstein Space

Tsutomu T. Takeuchi

Abstract

We construct a geometric framework for cosmological large-scale structure based on optimal transport theory and Wasserstein geometry. In this framework, Ricci curvature on the probability measure space $\mathcal{P}_2(M)$ is characterized by the geodesic convexity of entropy and is formulated as the response of probability distributions to optimal transport. We introduce effective Ricci curvatures $K_{\mathrm{eff}}^{(\infty)}$ and $K_{\mathrm{eff}}^{(N)}$ associated with Kullback--Leibler-type and Rényi-type entropies, corresponding respectively to the curvature-dimension conditions CD$(K,\infty)$ and CD$(K,N)$. By localizing these curvatures to finite scales using local and reference measures, we construct curvature indicators applicable to observational data. Under a local quadratic approximation, the effective curvature reduces to the Hessian of the log-density, showing that conventional Hessian-based structure classifications arise as a limiting case of the present framework. We further show that effective curvature depends on observational scale and formulate this dependence as a scale flow, distinct from Ricci flow because it describes a change of resolution rather than a time evolution of geometry. Treating curvature as a random field then extends the statistical description of density fields: curvature statistics are given by higher-order weighted integrals of the power spectrum and by spatial derivatives of the correlation function, emphasizing geometric rather than amplitude information. This framework provides a unified connection between optimal transport geometry and cosmological structure analysis, and offers a new perspective on multiscale structure and nonlinear statistics.

A Geometric Theory of Cosmological Structure via Entropic Curvature in Wasserstein Space

Abstract

We construct a geometric framework for cosmological large-scale structure based on optimal transport theory and Wasserstein geometry. In this framework, Ricci curvature on the probability measure space is characterized by the geodesic convexity of entropy and is formulated as the response of probability distributions to optimal transport. We introduce effective Ricci curvatures and associated with Kullback--Leibler-type and Rényi-type entropies, corresponding respectively to the curvature-dimension conditions CD and CD. By localizing these curvatures to finite scales using local and reference measures, we construct curvature indicators applicable to observational data. Under a local quadratic approximation, the effective curvature reduces to the Hessian of the log-density, showing that conventional Hessian-based structure classifications arise as a limiting case of the present framework. We further show that effective curvature depends on observational scale and formulate this dependence as a scale flow, distinct from Ricci flow because it describes a change of resolution rather than a time evolution of geometry. Treating curvature as a random field then extends the statistical description of density fields: curvature statistics are given by higher-order weighted integrals of the power spectrum and by spatial derivatives of the correlation function, emphasizing geometric rather than amplitude information. This framework provides a unified connection between optimal transport geometry and cosmological structure analysis, and offers a new perspective on multiscale structure and nonlinear statistics.

Paper Structure

This paper contains 43 sections, 115 equations, 1 figure.

Figures (1)

  • Figure 1: Schematic illustration of the local effective curvature in large-scale structure. Top: a local region $B_R(x)$ defines a probability measure $\mu_x^{(R)}$, which is compared to a reference measure $\nu_x^{(R)}$ through optimal transport. The curvature is quantified by the entropy variation $\Delta S$ along the Wasserstein geodesic. Void regions correspond to low-density, dark areas, while halo regions correspond to high-density, bright concentrations. Bottom: the corresponding local curvature structure is characterized by the Hessian of the log-density $H_x=-\nabla^2 \ln \rho(x)$. Different eigenvalue configurations distinguish void, filament, and halo structures.

Theorems & Definitions (2)

  • Definition 2.1: CD$(K,\infty)$
  • Definition 3.1: KL-type effective Ricci curvature