Markov chains, Gauss soups, and compromise dynamics

DOI10.3103/S1068362309020058zbMath1302.60104MaRDI QIDQ471781

J. Herrera, Sumit K. Garg

Publication date: 17 November 2014

Published in: Journal of Contemporary Mathematical Analysis. Armenian Academy of Sciences (Search for Journal in Brave)

zbMATH Keywords

ergodicitydynamical system

Mathematics Subject Classification ID

Geometric probability and stochastic geometry (60D05) Social networks; opinion dynamics (91D30) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)

Related Items (5)

Mathematical Models of Nonlinear Uniform Consensus II ⋮ Krause mean processes generated by cubic stochastic diagonally primitive matrices ⋮ Krause mean processes generated by cubic stochastic matrices IV: off-diagonally uniformly positive nonautonomous cubic stochastic matrices ⋮ Applications of quadratic stochastic operators to nonlinear consensus problems ⋮ Reaching a consensus via Krause mean processes in multi-agent systems: quadratic stochastic operators

Cites Work

• Unnamed Item
• Compromise, consensus, and the iteration of means
• Opinion dynamics driven by various ways of averaging
• A generalization of the Gauss limit for iterated means
• Arithmetic–geometric discrete systems
• Algorithms Involving Arithmetic and Geometric Means
• Gaussian Means

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