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 satis- fying properties (i) and (ii) are called stochastic matrices or in some books, probability matrices. An example is 1120 s-(11). S= (a) For the given example S, find S² and S3, and verify that they are also stochastic matrices. (b) Let S be any n x n stochastic matrix. Explain why S1 = 1, where 1 is the n-dimensional vector of all 1's. (c) Let S be any n x n stochastic matrix. Explain why SP is also stochastic, for any positive integer p. (This means part (a) was not a coincidence.) (Hint: Starting from (b), conclude S21 = 1 by writing S² = SS and performing the multiplications in a suitable order. Repeat the reasoning p times to conclude SP1 = 1.) (d) Interpret SP in terms of the experiment, i.e. what does the (i, j)th entry of SP mean?
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 satis- fying properties (i) and (ii) are called stochastic matrices or in some books, probability matrices. An example is 1120 s-(11). S= (a) For the given example S, find S² and S3, and verify that they are also stochastic matrices. (b) Let S be any n x n stochastic matrix. Explain why S1 = 1, where 1 is the n-dimensional vector of all 1's. (c) Let S be any n x n stochastic matrix. Explain why SP is also stochastic, for any positive integer p. (This means part (a) was not a coincidence.) (Hint: Starting from (b), conclude S21 = 1 by writing S² = SS and performing the multiplications in a suitable order. Repeat the reasoning p times to conclude SP1 = 1.) (d) Interpret SP in terms of the experiment, i.e. what does the (i, j)th entry of SP mean?
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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![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 satis-
fying properties (i) and (ii) are called stochastic matrices or in some books, probability
matrices. An example is
(1).
(a) For the given example S, find S² and S³, and verify that they are also stochastic
matrices.
S= =
(b) Let S be any n x n stochastic matrix. Explain why S1
n-dimensional vector of all 1's.
= 1, where 1 is the
(c) Let S be any n x n stochastic matrix. Explain why SP is also stochastic, for
any positive integer p. (This means part (a) was not a coincidence.) (Hint:
Starting from (b), conclude S²1 = 1 by writing S2 = SS and performing the
multiplications in a suitable order. Repeat the reasoning p times to conclude
SP1 = 1.)
(d) Interpret SP in terms of the experiment, i.e. what does the (i, j)th entry of SP
mean?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1cd0eb83-e05c-40a0-a7dd-4ecf59dcf03d%2F662f25a1-86a6-41d0-934a-74b5fb83373f%2Fr3vdonh_processed.jpeg&w=3840&q=75)
Transcribed Image Text: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 satis-
fying properties (i) and (ii) are called stochastic matrices or in some books, probability
matrices. An example is
(1).
(a) For the given example S, find S² and S³, and verify that they are also stochastic
matrices.
S= =
(b) Let S be any n x n stochastic matrix. Explain why S1
n-dimensional vector of all 1's.
= 1, where 1 is the
(c) Let S be any n x n stochastic matrix. Explain why SP is also stochastic, for
any positive integer p. (This means part (a) was not a coincidence.) (Hint:
Starting from (b), conclude S²1 = 1 by writing S2 = SS and performing the
multiplications in a suitable order. Repeat the reasoning p times to conclude
SP1 = 1.)
(d) Interpret SP in terms of the experiment, i.e. what does the (i, j)th entry of SP
mean?
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