Product of Random Stochastic Matrices and Distributed Averaging

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The thesis explores averaging dynamics in multiagent networked systems, essential for information diffusion in various applications. It examines stability and limiting behaviors of deterministic and random dynamics, introducing new concepts and results that enhance understanding of both averaging dynamics and non-negative random matrix theory. The rigorous yet accessible exposition includes illustrative examples for both newcomers and experts.