Global solutions for the stochastic reaction-diffusion equation with super-linear multiplicative noise and strong dissipativity
Michael Salins

TL;DR
This paper establishes conditions under which solutions to a stochastic reaction-diffusion equation with super-linear noise remain finite, highlighting the importance of the dissipative deterministic term in preventing explosion.
Contribution
It identifies a specific condition ensuring non-explosion of solutions in stochastic reaction-diffusion equations with polynomially growing noise and dissipative forcing.
Findings
Solutions do not explode under the identified condition.
The dissipative term $f$ plays a crucial role in preventing blow-up.
Polynomial growth of noise $\sigma$ is manageable with the right conditions.
Abstract
A condition is identified that implies that solutions to the stochastic reaction-diffusion equation on a bounded spatial domain never explode. We consider the case where grows polynomially and is polynomially dissipative, meaning that strongly forces solutions toward finite values. This result demonstrates the role that the deterministic forcing term plays in preventing explosion.
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Taxonomy
TopicsMathematical Biology Tumor Growth · Advanced Mathematical Modeling in Engineering · Mathematical and Theoretical Epidemiology and Ecology Models
