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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 AA be a stochastic matrix (columns sum to 11). Which statement is true?

7. Vocabulary: stochastic matrix

In one word: a matrix with nonnegative entries whose columns sum to 11 is called a ______ matrix.

8. One step of the chain

Start with u1=(0.80.2)u_1 = \begin{pmatrix}0.8\\0.2\end{pmatrix} and multiply by the stochastic matrix A=(0.80.30.20.7)A = \begin{pmatrix} 0.8 & 0.3 \\ 0.2 & 0.7 \end{pmatrix}. Enter u2=Au1u_2 = Au_1 as two decimals separated by a comma (for example: 0.5,0.5).

9. Steady state of a Markov matrix

Let

A=(0.40.20.30.20.40.30.40.40.4).A = \begin{pmatrix} 0.4 & 0.2 & 0.3 \\ 0.2 & 0.4 & 0.3 \\ 0.4 & 0.4 & 0.4 \end{pmatrix}.

The columns sum to 11, and AA has eigenvalues 00, 15\tfrac{1}{5} and 11. The eigenvector of AA for λ=1\lambda = 1 is proportional to (3,3,4)(3,3,4). Starting from u0=(1,0,0)u_0 = (1,0,0), the iterates Aku0A^k u_0 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 AA be a stochastic matrix, with nonnegative entries and columns summing to 11. Which eigenvalue does AA always have?

11. Steady state ratio

Let

A=(0.20.60.80.4).A = \begin{pmatrix} 0.2 & 0.6 \\ 0.8 & 0.4 \end{pmatrix}.

The steady state vector ww has Aw=wAw = w. Enter the ratio w1/w2w_1 / w_2 as a fraction like a/ba/b.

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