# Foundations of the theory of semilinear stochastic partial differential equations

**Authors:** Stefan Tappe

arXiv: 1907.02352 · 2025-11-21

## TL;DR

This review article surveys the fundamental concepts and results related to semilinear stochastic partial differential equations, focusing on solution types, their interrelations, and existence and uniqueness theorems.

## Contribution

It provides a comprehensive overview of the foundational theory of semilinear stochastic PDEs, including detailed explanations of solution concepts and a standard existence and uniqueness proof.

## Key findings

- Clarification of strong, weak, and mild solutions
- Connections between different solution concepts
- Standard existence and uniqueness results established

## Abstract

The goal of this review article is to provide a survey about the foundations of semilinear stochastic partial differential equations. In particular, we provide a detailed study of the concepts of strong, weak and mild solutions, establish their connections, and review a standard existence- and uniqueness result. The proof of the existence result is based on a slightly extended version of the Banach fixed point theorem.

## Full text

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/1907.02352/full.md

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Source: https://tomesphere.com/paper/1907.02352