Matlab, Fourth Edition: A Practical Introduction to Programming and Problem Solving
Matlab, Fourth Edition: A Practical Introduction to Programming and Problem Solving
4th Edition
ISBN: 9780128045251
Author: Stormy Attaway Ph.D. Boston University
Publisher: Elsevier Science
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Chapter 1, Problem 28E
To determine

To find:

The MATLAB expressions for 19, 31.2 and tan(π).

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A basic formula in probability is P(AUB) = P(A) + P(B) − P(ANB). (You can think of this as a probability version of the fact that the size of a union of two sets is the sum of their sizes minus the size of the intersection.) This is the first case of the principle of inclusion and exclusion. Noting that P(ANB) ≥ 0 (probabilities are nonnegative) we have P(AUB) ≤ P(A) + P(B), the probability of at least one of two events is at most the sum of the probabilities of the two events. The Boole-Bonferroni inequality extends this to multiple events: P(E₁ U… U Ek) ≤ P(E1) + P(E2) + ··· + P(Ek) or in compact notation P(U₁₁) <= P(Ei). =1 i=1 Use mathematical induction to prove this.
2. Consider n x n matrices A, D, P, P-1 where P-1 indicates the inverse of P and D is a diagonal matrix, the only nonzero entries are on the diagonal, d¿¿ with di; = 0 if i ‡ j. (a) Assume that A = PDP and hence AP = PD. Explain why each column of P is an eigenvector of A. That is, if x is the jth column of P then Ax = λ for some number (the eigenvalue). What is \ in terms of entries of D? (b) Prove by induction that A = PDP-¹.
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