Multi-population Mean Field Games systems with Neumann boundary conditions
By Marco Cirant. 2015
120 citations recorded by the source corpus.
Subfields: Applied Mathematics, Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/3d2001dca02f35d00fab6e24086d40143c7da7d7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Edgard A. Pimentel
- Martino Bardi
- Ermal Feleqi
- Vardan K. Voskanyan
- Marco Cirant
- Yves Achdou
- Diogo A. Gomes
- Guy Barles
In Economics and Econometrics
In Finance
- Edgard A. Pimentel
- Martino Bardi
- Marco Cirant
- Ermal Feleqi
- Vardan K. Voskanyan
- Yves Achdou
- Diogo A. Gomes
- P. J. Graber
Citations in the corpus
- Stationary focusing mean-field games (2016, background): “Existence of smooth solutions for (10) is still an open problem for general power-like nonlinearities, and known results require conditions on the exponents α, γ; see [14, 18, 19, 34].”
- Mean field games models of segregation (2016, background): “[20]), provided the negative part (·)− inG is replaced by some smooth regularization.”
- Nonlinear elliptic systems and mean-field games (2016, methodology): “For some very special cases of uniqueness with two populations see Cirant [25, 26] (where Neumann boundary conditions are also treated).”
- On non-uniqueness and uniqueness of solutions in finite-horizon Mean Field Games (2017, unknown): “In this case the monotonicity conditions are more restrictive: in addition to a form of aversion to crowd in each population, they require that the costs of intraspecific interactions are larger than the costs of the interactions between the two populations ( cf. [ 15]).”
- Regularity for second order stationary mean-field games (2015, methodology): “Recent developments on stationary mean-field game problems were reported in [7], where the integral Bernstein estimates were used in the context of mean-field games for the first time (see also [21]).”