Linear Algebra: A Modern Introduction
4th Edition
ISBN: 9781285463247
Author: David Poole
Publisher: Cengage Learning
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Chapter 4.1, Problem 2EQ
In Exercises 1-6, show that
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You are given a plane Π in R3 defined by two vectors, p1 and p2, and a subspace W in R3 spanned by twovectors, w1 and w2. Your task is to project the plane Π onto the subspace W.First, answer the question of what the projection matrix is that projects onto the subspace W and how toapply it to find the desired projection. Second, approach the task in a different way by using the Gram-Schmidtmethod to find an orthonormal basis for subspace W, before then using the resulting basis vectors for theprojection. Last, compare the results obtained from both methods
Chapter 4 Solutions
Linear Algebra: A Modern Introduction
Ch. 4.1 - In Exercises 1-6, show that is an eigenvector of A...Ch. 4.1 - In Exercises 1-6, show that vis an eigenvector of...Ch. 4.1 - Prob. 3EQCh. 4.1 - In Exercises 1-6, show that vis an eigenvector of...Ch. 4.1 - In Exercises 1-6, show that vis an eigenvector of...Ch. 4.1 - In Exercises 1-6, show that is an eigenvector of A...Ch. 4.1 - In Exercises 7-12, show that is an eigenvector of...Ch. 4.1 - In Exercises 7-12, show that is an eigenvector of...Ch. 4.1 - In Exercises 7-12, show that is an eigenvector of...Ch. 4.1 - In Exercises 7-12, show that is an eigenvector of...
Ch. 4.1 - In Exercises 7-12, show that is an eigenvector of...Ch. 4.1 - In Exercises 7-12, show that is an eigenvector of...Ch. 4.1 - In Exercises 23-26, use the method of Example 4.5...Ch. 4.1 - In Exercises 23-26, use the method of Example 4.5...Ch. 4.1 - In Exercises 23-26, use the method of Example 4.5...Ch. 4.1 - In Exercises 31-34, find all of the eigenvalues of...Ch. 4.1 - Prob. 32EQCh. 4.1 - In Exercises 31-34, find all of the eigenvalues of...Ch. 4.1 - Consider again the matrix A in Exercise 35. Give...Ch. 4.2 - Compute the determinants in Exercises 1-6 using...Ch. 4.2 - Compute the determinants in Exercises 1-6 using...Ch. 4.2 - Compute the determinants in Exercises 1-6 using...Ch. 4.2 - Compute the determinants in Exercises 1-6 using...Ch. 4.2 - Compute the determinants in Exercises 1-6 using...Ch. 4.2 - Compute the determinants in Exercises 1-6 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Compute the determinants in Exercises 7-15 using...Ch. 4.2 - Prob. 24EQCh. 4.2 - Prob. 26EQCh. 4.2 - Prob. 27EQCh. 4.2 - In Exercises 26-34, use properties of determinants...Ch. 4.2 - Prob. 29EQCh. 4.2 - Prob. 30EQCh. 4.2 - Prob. 31EQCh. 4.2 - In Exercises 26-34, use properties of determinants...Ch. 4.2 - Prob. 33EQCh. 4.2 - In Exercises 26-34, use properties of determinants...Ch. 4.2 - Find the determinants in Exercises 35-40, assuming...Ch. 4.2 - Find the determinants in Exercises 35-40, assuming...Ch. 4.2 - Find the determinants in Exercises 35-40, assuming...Ch. 4.2 - Find the determinants in Exercises 35-40, assuming...Ch. 4.2 -
Find the determinants in Exercises 35-40,...Ch. 4.2 - Prob. 45EQCh. 4.2 - In Exercises 45 and 46, use Theorem 4.6 to find...Ch. 4.2 - In Exercises 47-52, assume that A and B are nn...Ch. 4.2 - In Exercises 47-52, assume that A and B are n n...Ch. 4.2 -
In Exercises 47-52, assume that A and B are n ×...Ch. 4.2 -
In Exercises 47-52, assume that A and B are n × n...Ch. 4.2 - In Exercises 47-52, assume that A and B are nn...Ch. 4.2 - In Exercises 47-52, assume that A and B are nn...Ch. 4.2 - Prob. 53EQCh. 4.2 - Prob. 57EQCh. 4.2 - Prob. 58EQCh. 4.2 - Prob. 59EQCh. 4.2 - In Exercises 57-60, use Cramer's Rule to solve the...Ch. 4.2 - Prob. 61EQCh. 4.2 - Prob. 62EQCh. 4.2 - Prob. 63EQCh. 4.2 - Prob. 64EQCh. 4.3 - In Exercises 1-12, compute (a) the characteristic...Ch. 4.3 - Prob. 2EQCh. 4.3 - In Exercises 1-12, compute (a) the characteristic...Ch. 4.3 - In Exercises 1-12, compute (a) the characteristic...Ch. 4.3 - In Exercises 1-12, compute (a) the characteristic...Ch. 4.3 - In Exercises 1-12, compute (a) the characteristic...Ch. 4.3 - Prob. 7EQCh. 4.3 - In Exercises 1-12, compute (a) the characteristic...Ch. 4.4 - Prob. 5EQCh. 4.4 - Prob. 6EQCh. 4.4 - Prob. 7EQCh. 4.4 -
In general, it is difficult to show that two...Ch. 4.6 - Let x=x(t) be a twice-differentiable function and...
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- Plane II is spanned by the vectors: - (2) · P² - (4) P1=2 P21 3 Subspace W is spanned by the vectors: 2 W1 - (9) · 1 W2 1 = (³)arrow_forwardshow that v3 = (−√3, −3, 3)⊤ is an eigenvector of M3 . Also here find the correspondingeigenvalue λ3 . Just from looking at M3 and its components, can you say something about the remaining twoeigenvalues? If so, what would you say? find v42 so that v4 = ( 2/5, v42, 1)⊤ is an eigenvector of M4 with corresp. eigenvalue λ4 = 45arrow_forwardChapter 4 Quiz 2 As always, show your work. 1) FindΘgivencscΘ=1.045. 2) Find Θ given sec Θ = 4.213. 3) Find Θ given cot Θ = 0.579. Solve the following three right triangles. B 21.0 34.6° ca 52.5 4)c 26° 5) A b 6) B 84.0 a 42° barrow_forward
- Q1: A: Let M and N be two subspace of finite dimension linear space X, show that if M = N then dim M = dim N but the converse need not to be true. B: Let A and B two balanced subsets of a linear space X, show that whether An B and AUB are balanced sets or nor. Q2: Answer only two A:Let M be a subset of a linear space X, show that M is a hyperplane of X iff there exists ƒ€ X'/{0} and a € F such that M = (x = x/f&x) = x}. fe B:Show that every two norms on finite dimension linear space are equivalent C: Let f be a linear function from a normed space X in to a normed space Y, show that continuous at x, E X iff for any sequence (x) in X converge to Xo then the sequence (f(x)) converge to (f(x)) in Y. Q3: A:Let M be a closed subspace of a normed space X, constract a linear space X/M as normed space B: Let A be a finite dimension subspace of a Banach space X, show that A is closed. C: Show that every finite dimension normed space is Banach space.arrow_forward• Plane II is spanned by the vectors: P12 P2 = 1 • Subspace W is spanned by the vectors: W₁ = -- () · 2 1 W2 = 0arrow_forwardThree streams - Stream A, Stream B, and Stream C - flow into a lake. The flow rates of these streams are not yet known and thus to be found. The combined water inflow from the streams is 300 m³/h. The rate of Stream A is three times the combined rates of Stream B and Stream C. The rate of Stream B is 50 m³/h less than half of the difference between the rates of Stream A and Stream C. Find the flow rates of the three streams by setting up an equation system Ax = b and solving it for x. Provide the values of A and b. Assuming that you get to an upper-triangular matrix U using an elimination matrix E such that U = E A, provide also the components of E.arrow_forward
- dent Application X GA spinner is divided into five cox | + 9/26583471/4081d162951bfdf39e254aa2151384b7 A spinner is divided into five colored sections that are not of equal size: red, blue, green, yellow, and purple. The spinner is spun several times, and the results are recorded below: Spinner Results Color Frequency Red 5 Blue 11 Green 18 Yellow 5 Purple 7 Based on these results, express the probability that the next spin will land on purple as a fraction in simplest form. Answer Attempt 1 out of 2 Submit Answer 0 Feb 12 10:11 Oarrow_forward2 5x + 2–49 2 x+10x+21arrow_forward5x 2x+y+ 3x + 3y 4 6arrow_forward
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