Characterization of bi-parametric potentials and rate of convergence of truncated hypersingular integrals in the Dunkl setting

TL;DR

This paper introduces a new semigroup in Dunkl analysis, derives explicit inverse representations for bi-parametric potentials, and studies the convergence of hypersingular integrals using a wavelet approach and a novel smoothness concept.

Contribution

The work extends classical semigroups to the Dunkl setting, provides explicit inverse formulas for bi-parametric potentials, and introduces $ ext{ exteta}$-smoothness to analyze hypersingular integral convergence.

Findings

Explicit inverse of Dunkl-Riesz potential derived.

Convergence of truncated hypersingular integrals established under $ ext{ exteta}$-smoothness.

Wavelet-based method effectively represents the inverse operator.

Abstract

In this work, we introduce the $\beta$-semigroup for $\beta > 0$, which unifies and extends the classical Poisson (for $\beta=1$) and heat (for $\beta=2$) semigroups within the Dunkl analysis framework. Leveraging this semigroup, we derive an explicit representation for the inverse of the Dunkl-Riesz potential and characterize the image of the function space $L_k^p(\mathbb{R}^n)$ for $1 \leq p < \frac{n + 2\gamma}{\alpha}$. We further define the bi-parametric potential of order $\alpha$ by $$\mathfrak{S}_k^{(\alpha,\beta)} = \left(I + (-\Delta_k)^{\beta/2}\right)^{-\alpha/\beta}$$ and establish its inverse along with a detailed description of the associated range space. Our approach employs a wavelet-based method that represents the inverse as the limit of truncated hypersingular integrals parameterized by $\epsilon > 0$. To analyze the convergence of these approximations, we introduce the concept of $\eta$-smoothness at a point $x_0$ in the Dunkl setting. We show that if a function $f \in L_k^p(\mathbb{R}^n) \cap L_k^2(\mathbb{R}^n)$, for $1 \leq p \leq \infty$, possesses $\eta$-smoothness at $x_0$, then the truncated hypersingular approximations converge to $f(x_0)$ as $\epsilon \to 0^+$.