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On the distribution of the number of internal equilibria in random evolutionary games
- Source :
- Journal of Mathematical Biology
- Publication Year :
- 2017
- Publisher :
- arXiv, 2017.
-
Abstract
- In this paper, we study the distribution of the number of internal equilibria of a multi-player two-strategy random evolutionary game. Using techniques from the random polynomial theory, we obtain a closed formula for the probability that the game has a certain number of internal equilibria. In addition, by employing Descartes' rule of signs and combinatorial methods, we provide useful estimates for this probability. Finally, we also compare our analytical results with those obtained from samplings.<br />Comment: 31 pages, comments are welcome. arXiv admin note: substantial text overlap with arXiv:1708.01672
- Subjects :
- Distribution (number theory)
Evolutionary game theory
Dynamical Systems (math.DS)
Expected value
Quantitative Biology - Quantitative Methods
01 natural sciences
Upper and lower bounds
010305 fluids & plasmas
Replicator equation
Descartes' rule of signs
Multi-player games
Replicator dynamics
Mathematics - Dynamical Systems
Quantitative Methods (q-bio.QM)
Mathematics
0303 health sciences
Applied Mathematics
Biological Evolution
Agricultural and Biological Sciences (miscellaneous)
Random polynomials
Modeling and Simulation
Mathematical economics
Algorithms
Mathematics - Probability
Analysis of PDEs (math.AP)
TheoryofComputation_MISCELLANEOUS
Computer Science::Computer Science and Game Theory
Random games
91A15
Models, Biological
Article
03 medical and health sciences
Distributions of equilibria
30C15
Mathematics - Analysis of PDEs
Game Theory
0103 physical sciences
FOS: Mathematics
Humans
Computer Simulation
Quantitative Biology - Populations and Evolution
Probability
030304 developmental biology
Equilibrium point
Stochastic game
Probability (math.PR)
Populations and Evolution (q-bio.PE)
Computational Biology
91A22
Mathematical Concepts
FOS: Biological sciences
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Journal of Mathematical Biology
- Accession number :
- edsair.doi.dedup.....84ea38faec0becfbdcffcc0bbb7b46f6
- Full Text :
- https://doi.org/10.48550/arxiv.1711.03848