Consider an experiment with n possible states. At each step, individuals transition from state i to state j with probability sij. (This sort of model is useful in computer science, economics, statistics, and other areas.) Let S be the matrix with entries sij. This matrix satisfies: (i) all entries are ≥ 0, and (ii) all rows sum to 1. Matrices satisfying properties (i) and (ii) are called stochastic matrices. An example is ( (a) For the given example S, find S² and S3, and verify that they are also stochastic S= 2
Consider an experiment with n possible states. At each step, individuals transition from state i to state j with probability sij. (This sort of model is useful in computer science, economics, statistics, and other areas.) Let S be the matrix with entries sij. This matrix satisfies: (i) all entries are ≥ 0, and (ii) all rows sum to 1. Matrices satisfying properties (i) and (ii) are called stochastic matrices. An example is ( (a) For the given example S, find S² and S3, and verify that they are also stochastic S= 2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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a.
From the given information,
Consider,
Here, all the entries are >=0 and the sum of the row elements is equal to 1.
That is, the conditions for the stochastic matrix are satisfied.
Hence, the matrix S^2 is also stochastic matrix.
Here, all the entries are >=0 and the sum of the row elements is equal to 1.
That is, the conditions for the stochastic matrix are satisfied.
Hence, the matrix S^3 is also stochastic matrix.
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