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Weighted Poincar\'{e} Inequalities for Nonlocal Dirichlet Forms

Probability 2012-08-01 v1 Functional Analysis

Abstract

Let VV be a locally bounded measurable function such that eVe^{-V} is bounded and belongs to L1(dx)L^1(dx), and let μV(dx):=CVeV(x)dx\mu_V(dx):=C_V e^{-V(x)} dx be a probability measure. We present the criterion for the weighted Poincar\'{e} inequality of the non-local Dirichlet form Dρ,V(f,f):=(f(y)f(x))2ρ(xy)dyμV(dx) D_{\rho,V}(f,f):=\iint(f(y)-f(x))^2\rho(|x-y|) dy \mu_V(dx) on L2(μV)L^2(\mu_V). Taking ρ(r)=eδrr(d+α)\rho(r)={e^{-\delta r}}{r^{-(d+\alpha)}} with 0<α<20<\alpha<2 and δ0\delta\geqslant 0, we get some conclusions for general fractional Dirichlet forms, which can be regarded as a complement of our recent work Wang and Wang (2012), and an improvement of the main result in Mouhot, Russ, and Sire (2011). In this especial setting, concentration of measure for the standard Poincar\'{e} inequality is also derived. Our technique is based on the Lyapunov conditions for the associated truncated Dirichlet form, and it is considerably efficient for the weighted Poincar\'{e} inequality of the following non-local Dirichlet form Dψ,V(f,f):=(f(y)f(x))2ψ(xy)eV(y)dyeV(x)dx D_{\psi,V}(f,f):=\iint(f(y)-f(x))^2\psi(|x-y|) e^{-V(y)} dy e^{-V(x)} dx on L2(μ2V)L^2(\mu_{2V}), which is associated with symmetric Markov processes under Girsanov transform of pure jump type.

Keywords

Cite

@article{arxiv.1207.7140,
  title  = {Weighted Poincar\'{e} Inequalities for Nonlocal Dirichlet Forms},
  author = {Xin Chen and Jian Wang},
  journal= {arXiv preprint arXiv:1207.7140},
  year   = {2012}
}

Comments

42 pages

R2 v1 2026-06-21T21:43:49.891Z