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Hauptverfasser: de Feo, Filippo, Federico, Salvatore, Gozzi, Fausto, Touzi, Nizar
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2412.15906
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author de Feo, Filippo
Federico, Salvatore
Gozzi, Fausto
Touzi, Nizar
author_facet de Feo, Filippo
Federico, Salvatore
Gozzi, Fausto
Touzi, Nizar
contents We examine the sensitivity at the origin of the distributional robust optimization problem in the context of a model generated by a mean field stochastic differential equation. We adapt the finite dimensional argument developed by Bartl, Drapeau, Obloj \& Wiesel to our framework involving the infinite dimensional gradient of the solution of the mean field SDE with respect to its initial data. We revisit the derivation of this gradient process as previously introduced by Buckdahn, Li \& Peng, and we complement the existing properties so as to satisfy the requirement of our main result.
format Preprint
id arxiv_https___arxiv_org_abs_2412_15906
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Sensitivity of functionals of McKean-Vlasov SDE's with respect to the initial distribution
de Feo, Filippo
Federico, Salvatore
Gozzi, Fausto
Touzi, Nizar
Probability
We examine the sensitivity at the origin of the distributional robust optimization problem in the context of a model generated by a mean field stochastic differential equation. We adapt the finite dimensional argument developed by Bartl, Drapeau, Obloj \& Wiesel to our framework involving the infinite dimensional gradient of the solution of the mean field SDE with respect to its initial data. We revisit the derivation of this gradient process as previously introduced by Buckdahn, Li \& Peng, and we complement the existing properties so as to satisfy the requirement of our main result.
title Sensitivity of functionals of McKean-Vlasov SDE's with respect to the initial distribution
topic Probability
url https://arxiv.org/abs/2412.15906