Hidden monotonicity and canonical transformations for mean field games and master equations

Fuente: arXiv
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Hauptverfasser: Bansil, Mohit, Mészáros, Alpár R.
Format: Preprint
Veröffentlicht: 2024
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author Bansil, Mohit
Mészáros, Alpár R.
author_facet Bansil, Mohit
Mészáros, Alpár R.
contents In this paper we unveil novel monotonicity conditions applicable for Mean Field Games through the exploration of finite dimensional $canonical\ transformations$. Our findings contribute to establishing new global well-posedness results for the associated master equations, also in the case of potentially degenerate idiosyncratic noise. Additionally, we show that recent advancements in global well-posedness results, specifically those related to displacement semi-monotone and anti-monotone data, can be easily obtained as a consequence of our main results.
format Preprint
id arxiv_https___arxiv_org_abs_2403_05426
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hidden monotonicity and canonical transformations for mean field games and master equations
Bansil, Mohit
Mészáros, Alpár R.
Analysis of PDEs
Optimization and Control
In this paper we unveil novel monotonicity conditions applicable for Mean Field Games through the exploration of finite dimensional $canonical\ transformations$. Our findings contribute to establishing new global well-posedness results for the associated master equations, also in the case of potentially degenerate idiosyncratic noise. Additionally, we show that recent advancements in global well-posedness results, specifically those related to displacement semi-monotone and anti-monotone data, can be easily obtained as a consequence of our main results.
title Hidden monotonicity and canonical transformations for mean field games and master equations
topic Analysis of PDEs
Optimization and Control
url https://arxiv.org/abs/2403.05426