English

A limit theorem for singular stochastic differential equations

Probability 2016-11-23 v2

Abstract

We study the weak limits of solutions to SDEs dXn(t)=an(Xn(t))dt+dW(t),dX_n(t)=a_n\bigl(X_n(t)\bigr)\,dt+dW(t), where the sequence {an}\{a_n\} converges in some sense to (c1lx<0+c+1lx>0)/x+γδ0(c_- 1\mkern-4.5mu\mathrm{l}_{x<0}+c_+ 1\mkern-4.5mu\mathrm{l}_{x>0})/x+\gamma\delta_0. Here δ0\delta_0 is the Dirac delta function concentrated at zero. A limit of {Xn}\{X_n\} may be a Bessel process, a skew Bessel process, or a mixture of Bessel processes.

Keywords

Cite

@article{arxiv.1609.01185,
  title  = {A limit theorem for singular stochastic differential equations},
  author = {Andrey Pilipenko and Yuriy Prykhodko},
  journal= {arXiv preprint arXiv:1609.01185},
  year   = {2016}
}

Comments

Published at http://dx.doi.org/10.15559/16-VMSTA63 in the Modern Stochastics: Theory and Applications (https://www.i-journals.org/vtxpp/VMSTA) by VTeX (http://www.vtex.lt/)

R2 v1 2026-06-22T15:40:12.180Z