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随机矩阵
随机矩阵
1. Introduction
Introduction
2. Difference Equations
Difference Equations
3. Stochastic Matrices and the Steady State
Stochastic Matrices and the Steady State
4. Google’s PageRank Algorithm
Google’s PageRank Algorithm
5. Spot the stochastic matrix
Which of the following matrices is stochastic?
6. Why 1 is an eigenvalue
Let be a stochastic matrix (columns sum to ). Which statement is true?
7. Vocabulary: stochastic matrix
In one word: a matrix with nonnegative entries whose columns sum to is called a ______ matrix.
8. One step of the chain
Start with and multiply by the stochastic matrix . Enter as two decimals separated by a comma (for example: 0.5,0.5).
9. Steady state of a Markov matrix
Let
The columns sum to , and has eigenvalues , and . The eigenvector of for is proportional to . Starting from , the iterates converge to the steady state. Enter it as three decimals separated by commas (for example: 0.5,0.5,0.5).
10. The guaranteed eigenvalue of a stochastic matrix
Let be a stochastic matrix, with nonnegative entries and columns summing to . Which eigenvalue does always have?
11. Steady state ratio
Let
The steady state vector has . Enter the ratio as a fraction like .