(a) i. a basis for Row(A). What is the dimension of Row(A)? ii. a basis for Col(A). What is the dimension of Col(A)? iii. a basis for Nul(A). What is the dimension of Nul(A)? Given the matrices A and the reduced echelon form of A below, find: (b) A = 1234 5 1 0 1 2 -1 2246 4 1120 1 Consider vectors rref (A) = 1 0 1 0 0 1 1 0 0 0 0 1 00000 -5/3 8/3 1/3 V₁ = [1,-1, 5, 2], V2 = [−2, 3, 1, 0], V3 = [9, -10,34, 14], V4 = [0, 4, 2, -3], V5 = [-3, 31, 41, -8] in R4. Find a basis and the dimension of the subspace W = span{V1, V2, V3, V4, V5}. 10 705 0 1 -1 04 00 016 00 000 NOTE: RREF of the matrix whose columns are vectors V₁, V2, V3, V4, V5 is marks) Let A be an m x n matrix. Prove that every vector in the null space of A is orthogonal to every vector in the row space of A.
(a) i. a basis for Row(A). What is the dimension of Row(A)? ii. a basis for Col(A). What is the dimension of Col(A)? iii. a basis for Nul(A). What is the dimension of Nul(A)? Given the matrices A and the reduced echelon form of A below, find: (b) A = 1234 5 1 0 1 2 -1 2246 4 1120 1 Consider vectors rref (A) = 1 0 1 0 0 1 1 0 0 0 0 1 00000 -5/3 8/3 1/3 V₁ = [1,-1, 5, 2], V2 = [−2, 3, 1, 0], V3 = [9, -10,34, 14], V4 = [0, 4, 2, -3], V5 = [-3, 31, 41, -8] in R4. Find a basis and the dimension of the subspace W = span{V1, V2, V3, V4, V5}. 10 705 0 1 -1 04 00 016 00 000 NOTE: RREF of the matrix whose columns are vectors V₁, V2, V3, V4, V5 is marks) Let A be an m x n matrix. Prove that every vector in the null space of A is orthogonal to every vector in the row space of A.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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