惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

腾讯CDC
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - 叶小钗
人人都是产品经理
人人都是产品经理
博客园 - 聂微东
The Cloudflare Blog
爱范儿
爱范儿
阮一峰的网络日志
阮一峰的网络日志
WordPress大学
WordPress大学
小众软件
小众软件
博客园 - 三生石上(FineUI控件)
Last Week in AI
Last Week in AI
Jina AI
Jina AI
V
V2EX
罗磊的独立博客
V
Visual Studio Blog
A
About on SuperTechFans
IT之家
IT之家
P
Proofpoint News Feed
B
Blog
博客园 - Franky
Blog — PlanetScale
Blog — PlanetScale
Google DeepMind News
Google DeepMind News
Y
Y Combinator Blog

math.PR updates on arXiv.org

Visibility in the Boolean Model on Harmonic Manifolds Global estimates on the Brenier map Geodesics and Wandering Exponents in Brochette First-Passage Percolation State-dependent inverse-subordinator time changes of regenerative processes: Excursion structure and multiscale occupation-time limits Randomly twisted transfer operators and singular values statistics Generalized Bessel-Dunkl diffusions An almost sure invariance principle for the Takagi-van der Waerden class functions Central limit theorems for high dimensional lattice polytopes: cosmological polytopes Convergence rate estimates for semigroups and heat kernels associated with resistance forms Second-order Poincaré inequalities and localization on the Poisson space Maximum Probability of Independence in Transitive Matroids On global solutions to the semidiscrete stochastic heat equation The Poisson Tail Conjecture for primes in short intervals A Complete Spectral Analysis of the CEV Operator with Applications to Arbitrage Holographic functions and neural networks From Betting to Empirical Bernstein LIL Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise Pointwise Generalization in Deep Neural Networks Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process A note on connections between the Föllmer process and the denoising diffusion probabilistic model Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights Propagation of Chaos in Contextual Flow Maps Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures $α$-TCAV: A Unified Framework for Testing with Concept Activation Vectors Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model On the Limits of Latent Reuse in Diffusion Models State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives
Local interactions promote cooperation in cooperator-defe...
Nicolas Lanchier · 2018-05-17 · via math.PR updates on arXiv.org

This paper studies a variant of the multi-type contact process as a model for the competition between cooperators and defectors on integer lattices. Regardless of their type, individuals die at rate one. Defectors give birth at a fixed rate whereas cooperators give birth at a rate that increases linearly with the number of nearby cooperators. In particular, it is assumed that only cooperators benefit from cooperators, which is referred to as kin-recognition in the ecological literature. To understand how the inclusion of space in the form of local interactions affects the dynamics, the results for the interacting particle system are compared with their counterpart for the non-spatial mean-field model. Due to some monotonicity with respect to the parameters, both the spatial and non-spatial models exhibit a unique phase transition. Our analysis shows however a major difference: In the spatial model, when cooperation is strong enough, the cooperators out-compete the defectors even when starting at arbitrarily low density. In contrast, regardless of the strength of cooperation, when the initial density of cooperators is too low, the defectors out-compete the cooperators in the non-spatial model. In particular, when cooperation is sufficiently strong, the cooperators can invade the defectors in their equilibrium in the spatial model but not in the non-spatial model, showing that space in the form of local interactions promotes cooperation.