I have done 1st question with full explanation and all other questions are similar to that but I have solve them is well but with some less explanation due to lack of time. So please like and rate the answer. Thank you...
can some one explain #1 and 4 please. im confused by how to go about the...
please answer all questions im out of questions to post. thats why i squeezed them in. 6. Let u = (0, -3,11) and v = (1, -5,0). (a) Find the distance between i and V. That is, find ||ū - v1|| (b) Find the angle between i and 0. (c) Find Proje(). (d) Find Projet) (e) Find i x i and show it is orthogonal to both u and . 6 For -~- al 7. (a) Let A -12 5-2...
linear algebra question 2. (5' each) Give short answers: (a) True or false: If Ai-Adi for some real number λ, then u is an eigenvector of matrix A. If a square matrix is diagonalizable, then it has n distinct real eigenvalues. Two vectors of the same dimension are linearly independent if and only if one is not a multiple of the other. If the span of a set of vectors is R", then that set is a basis of R...
Please do number 2 Assume all matricies are Mmxm(R) unless otherwise specified. 1. (1 point) Prove or disprove that the eigenvalues of A and AT are the same. 2. (2 points) Let A be a matrix with m distinct, non-zero, eigenvalues. Prove that the eigenvectors of A are linearly independent and span R”. Note that this means in this case) that the eigenvectors are distinct and form a base of the space. 3. (1 point) Given that is an eigenvalue...
Material: 8.3.2 Consider the matrix (1 2 3 A-2 3 1 (8.3.28) (i) Use (8.3.27) to find the dominant eigenvalue of A. (ii) Check to see that u-(1 , I , î ), is a positive eigenvector of A. Use 11 and Theorem 8.6 to find the dominant eigenvalue of A and confirm that this is exactly what was obtained in part 0) obtained in part (i) or(ii ii) Compute all the eigenvalues of A directly and confirm the result...
Assume all matricies are Mmxm(R) unless otherwise specified. 1. (1 point) Prove or disprove that the eigenvalues of A and AT are the same. 2. (2 points) Let A be a matrix with m distinct, non-zero, eigenvalues. Prove that the eigenvectors of A are linearly independent and span R”. Note that this means in this case) that the eigenvectors are distinct and form a base of the space. 3. (1 point) Given that is an eigenvalue of A associated with...
Please do only e and f and show work null(AT) null(A) T col(A) row(A) Figure 5.6 The four fundamental subspaces (f) Find bases for the four fundamental subspaces of 1 1 1 6 -1 0 1 -1 2 A= -2 3 1 -2 1 4 1 6 1 3 8. Given a subspace W of R", define the orthogonal complement of W to be W vE R u v 0 for every u E W (a) Let W span(e, e2)...
Can someone please explain how the matrix (2,1,0) and matrix (2, 4, -3) were obtain? Im confused on how to solve those systems of equations and get those matrixes. Thanks! Rate X = - 2 T1-2-4) ( XI)- O OO 24. Uzz0. T1 - 2 2 2 = 0 atua - 2m=0 1 - 28 24 = 224 (X+21= 0 (3 02 / 1 1 1 2 0 - 304+20=0. 34 +2 +23=0. 24 - 224 +2=0. 24- = 0...
the last three digit 552 solve only question 4 In this HW, the values of a, b and c are the last three digits of your student ID. For example, if your student ID is 201802321 then a = 3, b = 2 and c=1. 1. (5pts) Evaluate the eigenvalues of the following matrix a +5 4 0 0 -1 a+10 0 0 0 0 0 -2 2 + c 2. (7pts) Let -3 1 B= 1 -2 1 3...
1. Verify that the following linear system does not have an infinite number of solutions for all constants b. 1 +39 - 13 = 1 2x + 2x2 = b 1 + bxg+bary = 1 2. Consider the matrices -=(: -1, -13). C-69--1--| 2 -1 0] 3 and F-10 1 1 [2 03 (a) Show that A, B, C, D and F are invertible matrices. (b) Solve the following equations for the unknown matrix X. (i) AXT = BC (ii)...
Please answer questions 2&3. Thank you! Remember that: A subspace is never empty, and is either the just the zero vector. i.e. [0), or has an infinite number of vectors A basis for a subspace is a set of t vectors. where t is the dimension of the subspace (usually a small number.) These vectors span the subspace and are linearly independent. This means that 0 can never part of a basis. The basis of the subspace (0) is empty....