Back to Search Start Over

Stochastic Aggregation Diffusion-Equation : Analysis via Dirichlet Forms

Authors :
Bourabiaa, Jaouad
Elmadani, Youssef
Hanine, Abdelouahab
Publication Year :
2024

Abstract

In this article, we study the stochastic aggregation-diffusion equation with a singular drift represented by a monotone radial kernel. We demonstrate the existence and uniqueness of a diffusion process that acts as a weak solution to our equation. This process can be described as a distorted Brownian motion originating from a delocalized point. Utilizing Dirichlet form theory, we prove the existence of a weak solution for a quasi-everywhere point in a state space. However uniqueness is not assured for solutions commencing from points outside polar sets, and explicitly characterizing these sets poses a significant challenge. To address this, we employ the H_2-condition introduced by Albeverio et al.(2003). This condition provides a more thorough understanding of the uniqueness issue within the framework of Dirichlet forms. Consequently the H_2-condition is pivotal in enhancing the analysis of weak solutions, ensuring a more detailed comprehension of the problem. An explicit expression for the generalized Schr\"odinger operator associated with certain kernels is also provided.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2407.17239
Document Type :
Working Paper