English

Heterogeneous diffusion process with power-law nonlinearity

Probability 2025-12-02 v1

Abstract

In this paper, we study solutions of the heterogeneous diffusion process with power-law nonlinearity governed by the stochastic differential equation dXt=XtαdBt+αλXt2α1sign(Xt)dt\mathrm{d}X_t= |X_t|^\alpha\,\mathrm{d}B_t + \alpha\lambda |X_t|^{2\alpha-1}\operatorname{sign}(X_t)\,\mathrm{d}t, where α(0,1)\alpha\in (0,1) and λ[0,1]\lambda\in[0,1]. The parameter α\alpha controls the nonlinear power-law profile of the diffusion coefficient, while the parameter λ\lambda specifies the interpretation of the stochastic integral in the pre-equation X˙=XαB˙\dot X=|X|^\alpha\dot B. We demonstrate that the solutions of this equation can be represented as nonlinear transformations of a skew Bessel process with dimension δR\delta \in \mathbb{R}.

Keywords

Cite

@article{arxiv.2512.01828,
  title  = {Heterogeneous diffusion process with power-law nonlinearity},
  author = {Jorge E. Cardona and Ilya Pavlyukevich},
  journal= {arXiv preprint arXiv:2512.01828},
  year   = {2025}
}

Comments

23 pages, 1 figure

R2 v1 2026-07-01T08:04:01.410Z