| 1. | The right spectral radius of every right stochastic matrix is clearly at most 1.
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| 2. | My first step is understanding Stochastic matrix.
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| 3. | To compute these probabilities the column stochastic matrix " G " is computed such that
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| 4. | Since "'P "'is a row stochastic matrix, its largest left eigenvalue is 1.
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| 5. | In particular, the k-th power P ^ k of a right stochastic matrix P is also right stochastic.
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| 6. | First of all, I was wondering whether what I added would be more appropriately placed in the stochastic matrix article.
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| 7. | Thus, each row of a right stochastic matrix ( or column of a left stochastic matrix ) is a stochastic vector.
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| 8. | Thus, each row of a right stochastic matrix ( or column of a left stochastic matrix ) is a stochastic vector.
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| 9. | A permutation matrix is itself a doubly stochastic matrix, but it also plays a special role in the theory of these matrices.
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| 10. | Multiplying together stochastic matrices always yields another stochastic matrix, so "'Q "'must be a stochastic matrix.
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