On stationary fractional mean field games

Autor: Annalisa Cesaroni, Matteo Novaga, Enrico Valdinoci, Marco Cirant, Serena Dipierro

Publikováno v: Journal de Mathématiques Pures et Appliquées 122 (2019): 1–22. doi:10.1016/j.matpur.2017.10.013
info:cnr-pdr/source/autori:A. Cesaroni, M. Cirant, S. Dipierro, M. Novaga, and E. Valdinoci/titolo:On stationary fractional mean field games/doi:10.1016%2Fj.matpur.2017.10.013/rivista:Journal de Mathématiques Pures et Appliquées/anno:2019/pagina_da:1/pagina_a:22/intervallo_pagine:1–22/volume:122

We provide an existence result for stationary fractional mean field game systems, with fractional exponent greater than 1/2. In the case in which the coupling is a nonlocal regularizing potential, we obtain existence of solutions under general assump

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09cbff0d69f65b0045045c0f765d428c
https://doi.org/10.1016/j.matpur.2017.10.013

Opérateurs de transfert et moyennes horocycliques sur les variétés fermées

Autor: Adam, Alexander

Publikováno v: Dynamical Systems [math.DS]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS330⟩

This doctoral thesis deepens the study of hyperbolic dynamics on connected, closed Riemannian manifolds M and associated transfer operators. We investigate two problems: The first problem concerns real analytic perturbations of linear toral Anosov di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::b3cd82d0de496554790e5133aa8e1bf1
https://tel.archives-ouvertes.fr/tel-02865539/document

Concentration of ground states in stationary Mean-Field Games systems

Autor: Marco Cirant, Annalisa Cesaroni

Publikováno v: Anal. PDE 12, no. 3 (2019), 737-787

In this paper we provide the existence of classical solutions to stationary mean field game systems in the whole space $\mathbb{R}^N$, with coercive potential and aggregating local coupling, under general conditions on the Hamiltonian. The only struc

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Risky Linear Approximations

Autor: Alexander Meyer-Gohde

I construct risk-corrected approximations of the policy functions of DSGEmodels around the stochastic steady state and ergodic mean that are linear in the state variables. The resulting approximations are uniformly more accurate than standard linear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______645::eddb6ddf9f3fd86cf048670b44f6a438
http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2014-034.pdf