Malliavin Calculus for the one-dimensional Stochastic Stefan Problem

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Main Authors: Antonopoulou, Dimitra C., Dimitriou, Dimitrios, Karali, Georgia, Tzirakis, Konstantinos
Format: Preprint
Published: 2024
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author Antonopoulou, Dimitra C.
Dimitriou, Dimitrios
Karali, Georgia
Tzirakis, Konstantinos
author_facet Antonopoulou, Dimitra C.
Dimitriou, Dimitrios
Karali, Georgia
Tzirakis, Konstantinos
contents We consider the one-dimensional outer stochastic Stefan problem with reflection. The problem admits maximal solutions as long as the velocity of the moving boundary remains bounded, [3,9,10]. We apply Malliavin calculus to the transformed equation and first prove that its maximal solution u has continuous paths a.s. In the case of the unreflected problem, the previous enables the localization of a proper approximating sequence of the maximal solution. Then, we derive there locally the differentiability of maximal u in the Malliavin sense. The novelty of this work, apart from the derivation of continuity of the paths for the maximal solution with reflection, is that for the unreflected case we introduce a localization argument on maximal solutions and define efficiently the relevant sample space. More precisely, we prove the local (in the sample space) existence of the Malliavin derivative and, under a non-degeneracy condition on the noise coefficient, the absolute continuity of the law of the solution with respect to the Lebesgue measure.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20389
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Malliavin Calculus for the one-dimensional Stochastic Stefan Problem
Antonopoulou, Dimitra C.
Dimitriou, Dimitrios
Karali, Georgia
Tzirakis, Konstantinos
Probability
Analysis of PDEs
35R37, 35R60, 60H07, 60H30, 60H15, 80A22
We consider the one-dimensional outer stochastic Stefan problem with reflection. The problem admits maximal solutions as long as the velocity of the moving boundary remains bounded, [3,9,10]. We apply Malliavin calculus to the transformed equation and first prove that its maximal solution u has continuous paths a.s. In the case of the unreflected problem, the previous enables the localization of a proper approximating sequence of the maximal solution. Then, we derive there locally the differentiability of maximal u in the Malliavin sense. The novelty of this work, apart from the derivation of continuity of the paths for the maximal solution with reflection, is that for the unreflected case we introduce a localization argument on maximal solutions and define efficiently the relevant sample space. More precisely, we prove the local (in the sample space) existence of the Malliavin derivative and, under a non-degeneracy condition on the noise coefficient, the absolute continuity of the law of the solution with respect to the Lebesgue measure.
title Malliavin Calculus for the one-dimensional Stochastic Stefan Problem
topic Probability
Analysis of PDEs
35R37, 35R60, 60H07, 60H30, 60H15, 80A22
url https://arxiv.org/abs/2407.20389