Markov Chains and Mixing Times¶
Levin, D. A., Peres, Y., & Wilmer, E. L. (2017). Markov Chains and Mixing Times.
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Primes¶
- Eigenvalue And Eigenvector
- In Markov chains, the stationary distribution is the eigenvector with eigenvalue one, and the spectral gap sets the mixing rate.
This sourceThe stationary distribution is the eigenvector with eigenvalue one, and the spectral gap controls the mixing rate.
- In Markov chains, the stationary distribution is the eigenvector with eigenvalue one, and the spectral gap sets the mixing rate.
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