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Pointwise upper bound for the fundamental solution of fractional Fokker-Planck equation

Haina Li, Yiran Xu

TL;DR

This work addresses the pointwise upper bound for the fundamental solution of the linear kinetic fractional Fokker-Planck equation $\partial_t f+v\cdot\nabla_x f+|D_v|^{2s} f=0$ with $0<s<1$. It derives an explicit kernel representation in Fourier space, introducing the phase function $M(\xi,\eta)$ and obtaining $\mathcal{K}(1,x,v)=\iint e^{-M(\xi,\eta)-i\xi\cdot x-i\eta\cdot v}\,d\xi d\eta$, where $M(\xi,\eta)=\int_{0}^{1}|(\xi-\eta)\tau+\eta|^{2s}\,d\tau=\frac{1}{2s+1}\frac{|\xi|^{2s}\xi-|\eta|^{2s}\eta}{\xi-\eta}$. With Littlewood-Paley decomposition, the authors decompose the kernel into dyadic pieces and derive sharp bounds for the frequency-localized contributions, handling the regimes $0<s\le\tfrac12$ and $\tfrac12<s<1$ separately. The main result provides a pointwise bound for derivatives of the fundamental solution at $t=1$, $|\partial_x^{b_1}\partial_v^{b_2}K(1,x,v)|\lesssim \langle x, x+v\rangle^{-(2+2s-2\varepsilon)}\langle x\rangle^{-\varepsilon-b_1}\langle x+v\rangle^{-\varepsilon-b_2}$ for any $\varepsilon>0$, and, by scaling, the corresponding bound for general times $t$. This LP-based approach yields a concise, self-contained route to well-posedness/regularity insights for fractional kinetic equations, distinct from stochastic-method proofs in related work. The results enhance understanding of the fundamental solution's decay properties in kinetic, fractional settings and offer tools for further analysis of related Kolmogorov–Fokker-Planck-type problems.

Abstract

In this paper, we investigate the fundamental solution of the fractional Fokker-Planck equation. Utilizing the Littlewood-Paley decomposition technology, we present a concise proof of the pointwise estimate for the fundamental solution.

Pointwise upper bound for the fundamental solution of fractional Fokker-Planck equation

TL;DR

This work addresses the pointwise upper bound for the fundamental solution of the linear kinetic fractional Fokker-Planck equation with . It derives an explicit kernel representation in Fourier space, introducing the phase function and obtaining , where . With Littlewood-Paley decomposition, the authors decompose the kernel into dyadic pieces and derive sharp bounds for the frequency-localized contributions, handling the regimes and separately. The main result provides a pointwise bound for derivatives of the fundamental solution at , for any , and, by scaling, the corresponding bound for general times . This LP-based approach yields a concise, self-contained route to well-posedness/regularity insights for fractional kinetic equations, distinct from stochastic-method proofs in related work. The results enhance understanding of the fundamental solution's decay properties in kinetic, fractional settings and offer tools for further analysis of related Kolmogorov–Fokker-Planck-type problems.

Abstract

In this paper, we investigate the fundamental solution of the fractional Fokker-Planck equation. Utilizing the Littlewood-Paley decomposition technology, we present a concise proof of the pointwise estimate for the fundamental solution.
Paper Structure (4 sections, 5 theorems, 64 equations)

This paper contains 4 sections, 5 theorems, 64 equations.

Key Result

Theorem 1.1

Let $\forall x,v,\xi,\eta \in \mathbb{R}$, then for any $b_1,b_2 \in \mathbb{N},~s\in(0,1)$, there exists $\varepsilon>0$ such that the fundamental solution $\mathcal{K}(1,x,v)$ of aim equation satisfies the following inequality: where $\varepsilon$ arbitrarily small.

Theorems & Definitions (11)

  • Theorem 1.1
  • Corollary 1.2
  • Remark 1.3
  • Lemma 3.1
  • proof
  • Lemma 3.2
  • proof
  • Lemma 3.3
  • proof
  • proof : Proof of Theorem \ref{['estimate K']}
  • ...and 1 more