The transition matric for a Markov chain is P = 0 .2 .8 .3 .3 .4 .6 .1 .3 Let m k denote the maximum entry in the third column of P k . Note that m 1 = .3 . (A) Find m 2 , m 3 , m 4 , and m 5 to three decimal places. (B) Explain why m k ≤ m k + 1 for all positive integers k .
The transition matric for a Markov chain is P = 0 .2 .8 .3 .3 .4 .6 .1 .3 Let m k denote the maximum entry in the third column of P k . Note that m 1 = .3 . (A) Find m 2 , m 3 , m 4 , and m 5 to three decimal places. (B) Explain why m k ≤ m k + 1 for all positive integers k .
Solution Summary: The author explains how to calculate the value of m_2, ''pk'' for a given transition matrix, using the TI-83 calculator.
1. The regular representation of a finite group G is a pair (Vreg, Dreg). Vreg is a vector space
and Dreg is a homomorphism.
(a) What is the dimension of Vreg?
(b) Describe a basis for Vreg and give a formula for Dreg. Hence explain why the homo-
morphism property is satisfied by Dreg.
(c) Prove that the character ✗reg (g) defined by tr Dreg (g) is zero if g is not the identity
element of the group.
(d) A finite group of order 60 has five irreducible representations R1, R2, R3, R4, R5. R₁
is the trivial representation. R2, R3, R4 have dimensions (3,3,4) respectively. What is the
dimension of R5? Explain how your solution is related to the decomposition of the regular
representation as a direct sum of irreducible representations (You can assume without proof
the properties of this decomposition which have been explained in class and in the lecture
notes).
(e) A
group element
has characters in the irreducible representations R2, R3, R4 given
as
R3
R2 (g)
= -1
X³ (g) = −1 ; XR4 (g) = 0…
it's not algebra 4th grade
Not use ai please
Chapter 9 Solutions
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
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Introduction: MARKOV PROCESS And MARKOV CHAINS // Short Lecture // Linear Algebra; Author: AfterMath;https://www.youtube.com/watch?v=qK-PUTuUSpw;License: Standard Youtube License
Stochastic process and Markov Chain Model | Transition Probability Matrix (TPM); Author: Dr. Harish Garg;https://www.youtube.com/watch?v=sb4jo4P4ZLI;License: Standard YouTube License, CC-BY