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The Torus Heat Kernel: Regularity and Bounds, the Density of a Heat-Smoothed Measure, and Its Lipschitz Dependence on the Measure

The torus heat kernel is twice continuously differentiable, even, positive and bounded with bounded derivatives. Convolving it with a measure gives the smooth positive density of the heat-smoothed measure, whose score is the logarithmic gradient of that density, and this density depends Lipschitz-continuously on the measure in the torus Wasserstein distance.

Statement

In the setting of Optimal Transport on the Flat Torus: Standing Notation, let ss be a real number with 0<s≤120<s\le\tfrac12, let Θs\Theta_{s} be the torus heat kernel and SsS_{s} the heat semigroup at time ss, let λd\lambda_{d} be Lebesgue measure, and let PI(Td)\mathcal{P}^{\mathcal{I}}(\mathbb{T}^{d}) and the score ξ\xi be as in Finite Torus Fisher Information, the Torus Score and the Torus Fisher Information of a Probability Measure on the Torus §finite. Then the following hold.

1. (Regularity and bounds) Θs∈Cper2\Theta_{s}\in C^{2}_{\mathrm{per}}, Θs(−v)=Θs(v)\Theta_{s}(-v)=\Theta_{s}(v) for every v∈Rdv\in\mathbb{R}^{d}, and ∫QΘs dλd=1\int_{Q}\Theta_{s}\,d\lambda_{d}=1. There are real numbers csc_{s} and CsC_{s} with 0<cs≤Cs0<c_{s}\le C_{s} such that cs≤Θs(v)≤Csc_{s}\le\Theta_{s}(v)\le C_{s}, ∣∂iΘs(v)∣≤Cs|\partial_{i}\Theta_{s}(v)|\le C_{s} and ∣∂j∂iΘs(v)∣≤Cs|\partial_{j}\partial_{i}\Theta_{s}(v)|\le C_{s} for all v∈Rdv\in\mathbb{R}^{d} and i,j∈[d]i,j\in[d].

2. (Density of a heat-smoothed measure) Let μ∈P(Td)\mu\in\mathcal{P}(\mathbb{T}^{d}). For every y∈Rdy\in\mathbb{R}^{d} the function x↦Θs(y−x)x\mapsto\Theta_{s}(y-x) is continuous and bounded by clause 1, so pμ(y)=∫Θs(y−x) μ(dx)p_{\mu}(y)=\int\Theta_{s}(y-x)\,\mu(dx) is a real number. The function pμp_{\mu} belongs to Cper2C^{2}_{\mathrm{per}}, with ∂ipμ(y)=∫∂iΘs(y−x) μ(dx)\partial_{i}p_{\mu}(y)=\int\partial_{i}\Theta_{s}(y-x)\,\mu(dx) and cs≤pμ(y)≤Csc_{s}\le p_{\mu}(y)\le C_{s} for all y∈Rdy\in\mathbb{R}^{d} and i∈[d]i\in[d]; the function 1Qpμ\mathbf{1}_{Q}p_{\mu} is a density of SsμS_{s}\mu with respect to λd\lambda_{d}; and Ssμ∈PI(Td)S_{s}\mu\in\mathcal{P}^{\mathcal{I}}(\mathbb{T}^{d}), with ξSsμ\xi_{S_{s}\mu} the class of the map y↦pμ(y)−1∇pμ(y)y\mapsto p_{\mu}(y)^{-1}\nabla p_{\mu}(y).

3. (Lipschitz dependence on the measure) There is a real number Ls≥0L_{s}\ge0 such that, with pμp_{\mu} and pνp_{\nu} as in clause 2,

∣pμ(y)−pν(y)∣≤Ls WT(μ,ν)and∥∇pμ(y)−∇pν(y)∥≤Ls WT(μ,ν)|p_{\mu}(y)-p_{\nu}(y)|\le L_{s}\,W_{\mathbb{T}}(\mu,\nu)\qquad\text{and}\qquad\lVert\nabla p_{\mu}(y)-\nabla p_{\nu}(y)\rVert\le L_{s}\,W_{\mathbb{T}}(\mu,\nu)

for all μ,ν∈P(Td)\mu,\nu\in\mathcal{P}(\mathbb{T}^{d}) and y∈Rdy\in\mathbb{R}^{d}.

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