A limit result on bargaining sets

2017 ◽  
Vol 66 (2) ◽  
pp. 327-341 ◽  
Author(s):  
Javier Hervés-Estévez ◽  
Emma Moreno-García
Keyword(s):  
Bargaining Sets ◽  
Limit Result

scholarly journals On Bargaining Sets of Convex NTU Games

2015 ◽  
Vol 17 (04) ◽  
pp. 1550008 ◽  
Author(s):  
Bezalel Peleg ◽  
Peter Sudhölter
Keyword(s):  
Bargaining Set ◽  
Ntu Games ◽  
The Core ◽  
Ntu Game ◽  
Bargaining Sets

We show that the Aumann–Davis–Maschler bargaining set and the Mas-Colell bargaining set of a non-leveled NTU game that is either ordinal convex or coalition merge convex coincides with the core of the game. Moreover, we show by means of an example that the foregoing statement may not be valid if the NTU game is marginal convex.

scholarly journals The Microscopic Derivation and Well-Posedness of the Stochastic Keller–Segel Equation

2020 ◽  
Vol 31 (1) ◽  
Author(s):  
Hui Huang ◽  
Jinniao Qiu
Keyword(s):  
Existence Of Solutions ◽  
Particle System ◽  
Mean Field ◽  
Field Limit ◽  
Mean Field Limit ◽  
Unique Existence ◽  
Interacting Particle ◽  
Microscopic Derivation ◽  
The Mean ◽  
Limit Result

AbstractIn this paper, we propose and study a stochastic aggregation–diffusion equation of the Keller–Segel (KS) type for modeling the chemotaxis in dimensions $$d=2,3$$ d = 2 , 3 . Unlike the classical deterministic KS system, which only allows for idiosyncratic noises, the stochastic KS equation is derived from an interacting particle system subject to both idiosyncratic and common noises. Both the unique existence of solutions to the stochastic KS equation and the mean-field limit result are addressed.

scholarly journals The least core, kernel and bargaining sets of large games

1998 ◽  
Vol 11 (3) ◽  
pp. 585-601 ◽  
Author(s):  
Ezra Einy ◽  
Dov Monderer ◽  
Diego Moreno
Keyword(s):  
Large Games ◽  
Least Core ◽  
Bargaining Sets

scholarly journals Oligopoly with a large number of competitors: asymmetric limit result

2008 ◽  
Vol 39 (2) ◽  
pp. 353-353
Author(s):  
Hiroaki Ino ◽  
Tomohiko Kawamori
Keyword(s):  
Limit Result
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