Stochastic solutions and singular partial differential equations
R. Vilela Mendes

TL;DR
This paper extends stochastic solution techniques to partial differential equations influenced by distribution-valued noises, offering a novel approach for solving such complex equations.
Contribution
It introduces the use of stochastic solutions for PDEs driven by distribution-valued noises, expanding the applicability of stochastic methods.
Findings
Demonstrates the feasibility of stochastic solutions for new classes of PDEs.
Provides a framework for solving PDEs with distribution-valued noise.
Shows potential for applications in complex stochastic modeling.
Abstract
The technique of stochastic solutions, previously used for deterministic equations, is here proposed as a solution method for partial differential equations driven by distribution-valued noises.
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Taxonomy
TopicsStochastic processes and financial applications
