The martingale problem for geometric stable-like processes

Fuente: arXiv
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Autore principale: Iyer, Sarvesh Ravichandran
Natura: Preprint
Pubblicazione: 2024
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author Iyer, Sarvesh Ravichandran
author_facet Iyer, Sarvesh Ravichandran
contents We prove that the martingale problem is well posed for pure-jump Lévy-type operators of the form $$ (\mathcal Lf)(x) = \int_{\mathbb R^d \setminus \{0\}} \left(f(x+h)-f(x) - (\nabla f(x) \cdot h)1_{\|h\| < 1}\right)K(x,h) dh, $$ where $K(x,\cdot)$ is a jump kernel of the form $K(x,h) \sim \frac{l(\|h\|)}{\|h\|^d}$ for each $x \in \mathbb R^d,\|h\|<1$, and $l$ is a positive function that is slowly varying at $0$, under suitable assumptions on $K$. This includes jump kernels such as those of $α$-geometric stable processes, $α\in (0,2]$.
format Preprint
id arxiv_https___arxiv_org_abs_2412_18677
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The martingale problem for geometric stable-like processes
Iyer, Sarvesh Ravichandran
Probability
60J76 (Primary), 60G51 (Secondary)
We prove that the martingale problem is well posed for pure-jump Lévy-type operators of the form $$ (\mathcal Lf)(x) = \int_{\mathbb R^d \setminus \{0\}} \left(f(x+h)-f(x) - (\nabla f(x) \cdot h)1_{\|h\| < 1}\right)K(x,h) dh, $$ where $K(x,\cdot)$ is a jump kernel of the form $K(x,h) \sim \frac{l(\|h\|)}{\|h\|^d}$ for each $x \in \mathbb R^d,\|h\|<1$, and $l$ is a positive function that is slowly varying at $0$, under suitable assumptions on $K$. This includes jump kernels such as those of $α$-geometric stable processes, $α\in (0,2]$.
title The martingale problem for geometric stable-like processes
topic Probability
60J76 (Primary), 60G51 (Secondary)
url https://arxiv.org/abs/2412.18677