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

Abstract In this paper we unveil novel monotonicity conditions applicable to 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.

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Publication Details

Journal
Forum of Mathematics Sigma
Published
2025-01-01
DOI
https://doi.org/10.1017/fms.2025.10130
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Alpár R. Mészáros, Mohit Bansil
Forum of Mathematics Sigma
Stochastic processes and financial applications
article

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

Alpár R. Mészáros, Mohit Bansil
article en

Abstract

Abstract In this paper we unveil novel monotonicity conditions applicable to 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.

Forum of Mathematics SigmaVol. 13
Durham University (GB), University of California System (US)
National Science Foundation, UK Research and Innovation, King Abdullah University of Science and Technology, Engineering and Physical Sciences Research Council, Division of Mathematical Sciences
Openalex Percentile: Top 59%
Stochastic processes and financial applications
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