Reversible Chains & Detailed Balance

Related lectures (31)

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Explores the PageRank algorithm within Markov chains, emphasizing ergodicity and convergence for web page ranking.

Explores Markov chains, focusing on homogeneous processes and stationary distributions, with practical exercises.

Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.

Explores the applications of ergodic theory to combinatorics and number theory, including Szemerédi's Theorem and the Erdős-Kac Theorem.

Explores the lower bound on total variation distance in Markov chains and its implications on mixing time.

Presents a short proof of a conjecture by Erdös, exploring related questions and detailed proof of the proposition.

Covers Mod.7 on continuous-time Markov chains, focusing on reversible chains and their applications in communication systems.

Explores ergodic theory, spectral operators, and almost periodic factors in dynamical systems and spectral theory.

Covers continuous-time Markov chains, focusing on reversible chains and their properties.