Note: rest part of d given below: evaluation of missing value of b:
[1] (a) Verify that vectors ul 2 | ,u2 -1 . из 0 | are pairwise orthogonal (b) Prove that ũi,u2Ф are linearly independent and hence form a basis of R3. (c) Let PRR3 be the orthogonal projection onto Spansüi, us]. Find bases for the image and kernel of P, without using the matrix of P. Find the rank and nullity (d) Find Pul, Риг, and Риз in a snap. Find the matrix of P with respect to the basis...
1 -1.2 5 Uį = U2 = -3 1, U3 = 2 , 14 = 29 ( 7 Answer the following questions and give proper explanations. (a) Is {ui, U2, uz} a basis for R3? (b) Is {ui, U2, u4} a basis for R4? (c) Is {ui, U2, U3, U4, u; } a basis for R? (d) Is {ui, U2, U3, u} a basis for Rº?! (e) Are ui, u, and O linearly independent?! Problem 6. (15 points). Let A...
0 2 4. [6 pts) (a) (4pts) Find a basis for the span of vectors ui -2 | u,-|-1 | , and u3 | 5 ,u2 = 0 (b) (2 pts) Find the rank and nullity for the matrix A-u u us].
Question 3) (8 points) Consider the following matrix: A= ſi 4 0 0 28 3 12 2 11 -5 5 6 0 8 1 (a) Find a basis for the Rowspace(A). Then state the dimension of the Rowspace(A). (b) Find a basis for the Colspace(A). Then state the dimension of the Colspace(A). (e) Find a basis for the Nullspace(A). Then state the dimension of the Nullspace(A). (d) State and confirm the Rank-Nullity Theorem for this matrix.
2. [16 marks) - T (a) Evaluate the determinant of matrix A where: ſi 3 -1 0 2 -4 A= -2 -6 2 3 37 - 38 (b) Solve the following system of equations for 23 only, by using Cramer's Rule: [Again, your answer to part(a) may be helpful!] 21 +3.02 – 23 2x2 - 4.23 - 24 -221 - 602 +213 +324 3.01 + 7.02 – 3x3 +8.04 = 1 = 0 = -2 = 0 (c) Use your...
1 -1 1 2 11 ſi -1 0 101 1 0 0 1 1 0 1 0 0 1 1 0 1. Let A= | 2 -2 1 3 11 2 1. The RREF of A is U = Use 0 0 0 0 1 | 2 -2 1 3 1 0 0 0 0 0 this information to answer each of the following. Clearly circle your final answer. (a) Find a basis for colA. (b) Find a basis for...
(33 pts) This question is about the matrix = ſi 2 [3 2 0 4 1 6 3 1] 4 9 co (a) Find a lower triangular L and an upper triangular U so that A = LU. (b) Find the reduced row echelon form R = rref(A). How many independent columns in A? (c) If the vector b is the sum of the four columns of A, write down the complete solution to Ax = b
9 -4 0 0 A4 5 2 0 0 0 1 2 and consider the vector space R4 with the inner product given by v, w)Aw. Let 0 0 -2 and let W span(Vi, V2, V3 ). In this problem, you will apply the Gram-Schmidt procedure to vi, v2, v3 to find an orthogonal basis (u, u2, u31 for W (with respect to the above inner product). b) Compute the following inner products. (v2, u1) - Then u2 =Y2__v2.ul) ui,...
7. Consider the following matrices 2 3-1 0 1 A=101-2 3 0 0 0-1 2 4 2 3 -1 B-101-2 0 0-1 2 3 -1 0 c=101-2 3 For each matrix, determine (a) The rank. (b) The number of free variables in the solution to the homogeneous system of equa- tions (c) A basis for the column space d) A basis for the null space for matrices A and HB e) Dimension of the column space (f) Nullity (g) Does...
4. (3 points) Let ſi 2 1] A= 0 4 3 [1 2 2 Compute the third column of A-1 by solving the equation Ax = es, where ez = 0 Hint: Use Cramar's rule to solve the equation, noticing that the third column of A-' is given by the solution of the above equation. In fact there is nothing special about A-1, the third column of any 3 x 3 matrix B is given by the product Bez. Can...