Discrete Dynamical Systems

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 1 of 4

Spectral Gap in Markov Chains

Explores the spectral gap in Markov chains and its impact on convergence speed.

Stationary Distribution in Markov Chains

Explores the concept of stationary distribution in Markov chains, discussing its properties and implications, as well as the conditions for positive-recurrence.

Applied Probability & Stochastic Processes

Covers applied probability, Markov chains, and stochastic processes, including transition matrices, eigenvalues, and communication classes.

Eigenvalues and Eigenvectors of Markov Chains

Explores eigenvalues and eigenvectors of Markov chains, focusing on convergence rates and matrix properties.

Markov Chain Analysis

Delves into Markov chains by analyzing a scenario with two fleas moving in opposite directions, exploring transition matrices and probabilities over time.

Markov Chains: Theory and Applications

Covers the theory and applications of Markov chains, focusing on key concepts and properties.

Cut-off Phenomenon

Discusses the sharp transition in mixing time of a random walk.

Markov Chains: Theory and Applications

Covers the theory and applications of Markov chains in modeling random phenomena and decision-making under uncertainty.

Spectral Gap and Mixing Time

Explores spectral gap and mixing time in Markov chains, including their definitions and behavior.

Coxeter Groups: Spectral Theorem and Sylvester's Criterion

Explores the spectral theorem, Coxeter graphs, eigenvalues, and determinants of positive definite matrices.