Stochastic equations with multidimensional drift driven by Levy processes

  • V. P. Kurenok

Research output: Contribution to journalArticlepeer-review

Abstract

The stochastic equation dX t = dL t + a(t,X t)dt, t ≥ 0, is considered where L is a d-dimensional Levy process with the characteristic exponent ψ(ξ), ξ ∈ Bbb R, d ≥ 1. We prove the existence of (weak) solutions for a bounded, measurable coefficient a and any initial value X 0 = x 0 ∈ ℝ d when (Re ψ(ξ)) -1 = o(|ξ| -1) as |ξ| → ∞. The proof idea is based on Krylov's estimates for Levy processes with time-dependent drift and some variants of those estimates are derived in this note.

Original languageEnglish
Pages (from-to)311-324
Number of pages14
JournalRandom Operators and Stochastic Equations
Volume14
Issue number4
DOIs
StatePublished - Dec 2006

Keywords

  • Krylov's estimates
  • Multidimensional Levy processes
  • Stochastic differential equations
  • Time-dependent drift
  • Weak convergence

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