Approaching consensus can be delicate when positions harden

DOI10.1016/0304-4149(86)90008-6zbMath0604.60066OpenAlexW2056812122MaRDI QIDQ1083127

Charles M. Newman, John Hajnal, Joel E. Cohen

Publication date: 1986

Published in: Stochastic Processes and their Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0304-4149(86)90008-6

zbMATH Keywords

weak ergodicityergodic behaviornonstationary product of random matricesproduct of random nonnegative matrices

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Mathematical economics (91B99)

Related Items (6)

Stochastic Approximation Based Consensus Dynamics over Markovian Networks ⋮ Convergence of the sum of reciprocal renewal times ⋮ On the modelling and simulation of the competition for a secession under media influence by active particles methods and functional subsystems decomposition ⋮ The impact of competing zealots on opinion dynamics ⋮ Eulerian Opinion Dynamics with Bounded Confidence and Exogenous Inputs ⋮ Balance seeking opinion dynamics model based on social judgment theory

Cites Work

• Combining probability distributions: A critique and an annotated bibliography
• Non-negative matrices and Markov chains. 2nd ed
• Convexity properties of products of random nonnegative matrices
• A Necessary and Sufficient Condition for Reaching a Consensus Using DeGroot's Method
• Perturbations of random matrix products
• Towards consensus: some convergence theorems on repeated averaging
• Reaching a Consensus
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