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An explicit formula of the limit of the heat kernel measures on the spheres embedded in $\mathbb {R}^\infty$

Minh-Luan Doan, Evan O'Dorney

TL;DR

The paper demonstrates that heat-kernel measures on spheres of radius $\sqrt N$ embedded in $\mathbb{R}^\infty$, centered via a time-dependent shift, converge to a Gaussian measure on $\mathbb{R}^\infty$ as $N\to\infty$. By deriving an explicit limiting parabolic PDE and solving it, the authors obtain a closed-form Gaussian kernel $u^{\infty}_t$ on finite coordinates and extend it to $\mathbb{R}^\infty$ using Kolmogorov extension. The approach combines a PDE-based heuristic with a rigorous operator-theoretic analysis, including a Baker–Campbell–Hausdorff argument, to establish kernel-level convergence of heat kernels on scaled spheres. The result provides an explicit, time-dependent Gaussian description of the limit, connecting geometric diffusion on high-dimensional spheres to infinite-dimensional Gaussian processes with precise variance parameters. This explicit kernel has potential implications for understanding diffusion on large manifolds and for probabilistic representations in infinite-dimensional settings.

Abstract

We show that the heat kernel measures based at the north pole of the spheres $S^{N-1}(\sqrt N)$, with properly scaled radius $\sqrt N$ and adjusted center, converge to a Gaussian measure in $\mathbb R^\infty$, and find an explicit formula for this measure.

An explicit formula of the limit of the heat kernel measures on the spheres embedded in $\mathbb {R}^\infty$

TL;DR

The paper demonstrates that heat-kernel measures on spheres of radius embedded in , centered via a time-dependent shift, converge to a Gaussian measure on as . By deriving an explicit limiting parabolic PDE and solving it, the authors obtain a closed-form Gaussian kernel on finite coordinates and extend it to using Kolmogorov extension. The approach combines a PDE-based heuristic with a rigorous operator-theoretic analysis, including a Baker–Campbell–Hausdorff argument, to establish kernel-level convergence of heat kernels on scaled spheres. The result provides an explicit, time-dependent Gaussian description of the limit, connecting geometric diffusion on high-dimensional spheres to infinite-dimensional Gaussian processes with precise variance parameters. This explicit kernel has potential implications for understanding diffusion on large manifolds and for probabilistic representations in infinite-dimensional settings.

Abstract

We show that the heat kernel measures based at the north pole of the spheres , with properly scaled radius and adjusted center, converge to a Gaussian measure in , and find an explicit formula for this measure.

Paper Structure

This paper contains 10 sections, 14 theorems, 114 equations.

Key Result

Theorem 1.1

For any polynomial$f$ of fixed $k$ variables $x_1,\dots, x_k$, we have

Theorems & Definitions (24)

  • Theorem 1.1
  • Theorem 1.2
  • Proposition 2.1: PeSen
  • Proposition 2.2: Coifman1971
  • Definition 2.3
  • Theorem 2.4
  • Proposition 2.5
  • proof
  • Corollary 2.6
  • Remark 2.7
  • ...and 14 more