On the local well-posedness of randomly forced reaction-diffusion equations with $$\varvec{L^2}$$ initial data and a superlinear reaction term

Abstract We consider a parabolic stochastic partial differential equation (SPDE) on [0, 1] that is forced with multiplicative space-time white noise with a bounded and Lipschitz diffusion coefficient and a drift coefficient that is locally Lipschitz and satisfies an $$L\log L$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>L</mml:mi> <mml:mo>log</mml:mo> <mml:mi>L</mml:mi> </mml:mrow> </mml:math> growth condition. We prove that the SPDE is well posed when the initial data is in $$L^2[0,1]$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mrow> <mml:mo>[</mml:mo> <mml:mn>0</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn> <mml:mo>]</mml:mo> </mml:mrow> </mml:mrow> </mml:math> . This solves a strong form of an open problem.

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Journal
Probability Theory and Related Fields
Published
2026-04-13
DOI
https://doi.org/10.1007/s00440-026-01487-9
Primary Topic
Stochastic processes and financial applications
Type
article
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article

On the local well-posedness of randomly forced reaction-diffusion equations with $$\varvec{L^2}$$ initial data and a superlinear reaction term

Mohammud Foondun, Davar Khoshnevisan, Eulalia Nualart
Probability Theory and Related Fields
Stochastic processes and financial applications
article

On the local well-posedness of randomly forced reaction-diffusion equations with $$\varvec{L^2}$$ initial data and a superlinear reaction term

Mohammud Foondun, Davar Khoshnevisan, Eulalia Nualart
article en

Abstract

Abstract We consider a parabolic stochastic partial differential equation (SPDE) on [0, 1] that is forced with multiplicative space-time white noise with a bounded and Lipschitz diffusion coefficient and a drift coefficient that is locally Lipschitz and satisfies an $$L\log L$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>L</mml:mi> <mml:mo>log</mml:mo> <mml:mi>L</mml:mi> </mml:mrow> </mml:math> growth condition. We prove that the SPDE is well posed when the initial data is in $$L^2[0,1]$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>L</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mrow> <mml:mo>[</mml:mo> <mml:mn>0</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn> <mml:mo>]</mml:mo> </mml:mrow> </mml:mrow> </mml:math> . This solves a strong form of an open problem.

Probability Theory and Related Fields
Universitat Pompeu Fabra (ES), University of Strathclyde (GB), University of Utah (US), Barcelona School of Economics (ES)
Openalex Percentile: Top 4%
Stochastic processes and financial applications
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