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Linear Algebra with Applications (9th Edition) (Featured Titles for Linear Algebra (Introductory))
9th Edition
ISBN: 9780321962218
Author: Steven J. Leon
Publisher: PEARSON
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Chapter 2, Problem 4CTB
To determine
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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 2 Solutions
Linear Algebra with Applications (9th Edition) (Featured Titles for Linear Algebra (Introductory))
Ch. 2.1 - Let A=[324123232] (a) Find the value of...Ch. 2.1 - Use determinants to determine whether the...Ch. 2.1 - Evaluate the following determinants: (a) |3523|...Ch. 2.1 - Evaluate the following determinants by inspection:...Ch. 2.1 - Evaluate the following determinant. Write your...Ch. 2.1 - Find all values of for which the following...Ch. 2.1 - Let A be a 33 matrix with a11=0 and a210 . Show...Ch. 2.1 - Write out the details of the proof of Theorem...Ch. 2.1 - Prove that if a row or a column of an nn matrix A...Ch. 2.1 - Use mathematical induction to prove that if A is...
Ch. 2.1 - Let A and B be 22 matrics. a) Does...Ch. 2.1 - Let A and B be 22 matrices and let C=[ a 11 a 12 a...Ch. 2.1 - Let A be a symmetric tridiagonal matrix (ie., A is...Ch. 2.2 - Evaluate each of the following determinants by...Ch. 2.2 - Let A=[0123111122331223] (a) Use the elimination...Ch. 2.2 - For each of the following, compute the determinate...Ch. 2.2 - Find all possible choices of c that would make the...Ch. 2.2 - Let Abe an nn matrix and a scalar. Show that...Ch. 2.2 - Let A be a nonsingular matrix. Show that...Ch. 2.2 - Let A and B be 33 matrices with det(A)=4 and...Ch. 2.2 - Show that if E is an elementary matrix, then ET is...Ch. 2.2 - Let E1,E2 , and E3 be 33 elementary matrices of...Ch. 2.2 - Let A and B be row equivalent matrices, and...Ch. 2.2 - Let Abe an nn matrix. Is it possible for A2+I=O in...Ch. 2.2 - Consider the 33 Vandermonde matrix V=[1 x 1 x 1 21...Ch. 2.2 - Suppose that a 33 matrix A factors into a product...Ch. 2.2 - Let A and B be nn matrices. Prove that the product...Ch. 2.2 - Let A and B be nn matrices. Prove that if AB=I ,...Ch. 2.2 - A matrix A is said to be skew symmetric if AT=A ....Ch. 2.2 - Let A be a nonsingular nn matrix with a nonzero...Ch. 2.2 - Let A be a kk matrix and let B be an (nk)(nk)...Ch. 2.2 - Let A and B be kk matrics and let M=[OBAO] Show...Ch. 2.2 - Show that evaluating the determinant of an nn...Ch. 2.2 - Show that the elimination method of computing the...Ch. 2.3 - For each of the following, compute (i) det(A) ,...Ch. 2.3 - Use the Cramer’s rule to solve each of the...Ch. 2.3 - Given A=[121043122] determine the (2, 3) entry of...Ch. 2.3 - Let A be the matrix in Exercise 3. Compute the...Ch. 2.3 - Prob. 5ECh. 2.3 - If A is singular, what can you say about the...Ch. 2.3 - Prob. 7ECh. 2.3 - Prob. 8ECh. 2.3 - Prob. 9ECh. 2.3 - Show that if A is nonsingular, then adj A is...Ch. 2.3 - Prob. 11ECh. 2.3 - Prob. 12ECh. 2.3 - Prob. 13ECh. 2.3 - Prob. 14ECh. 2.3 - Let x, y, and z be vectors in R3 . Show each of...Ch. 2.3 - Let x and y be vectors in R3 and define the skew...Ch. 2 - Generate random 55 matrices with integer entries...Ch. 2 - Prob. 2ECh. 2 - Prob. 3ECh. 2 - Prob. 4ECh. 2 - Prob. 5ECh. 2 - Prob. 6ECh. 2 - Prob. 1CTACh. 2 - For each statement that follows, answer true if...Ch. 2 - For each statement that follows, answer true if...Ch. 2 - Prob. 4CTACh. 2 - Prob. 5CTACh. 2 - For each statement that follows, answer true if...Ch. 2 - For each statement that follows, answer true if...Ch. 2 - Prob. 8CTACh. 2 - Prob. 9CTACh. 2 - Prob. 10CTACh. 2 - Let A and B he 33 matrices with det(A)=4 and...Ch. 2 - Prob. 2CTBCh. 2 - Let A=[1111123413610141020] (a) Compute the LU...Ch. 2 - Prob. 4CTBCh. 2 - Prob. 5CTBCh. 2 - Prob. 6CTBCh. 2 - Let A be an nn matrix and let be a scalar. Show...Ch. 2 - Prob. 8CTBCh. 2 - Prob. 9CTBCh. 2 - Let A be a matrix with integer entries. If...
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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
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