Define the linear transformation T by T(x) = Ax. Find ker(T), nullity(T), range(T), and rank(T). %3D 8 8 4 3 3 3 8 8 4 A = 3 3 3 4 2 3 4 - 3 3 (a) ker(T) STEP 1: The kernel of T is given by the solution to the equation T(x) = 0. Let x = (x1, x2, X3) and find x such that T(x) = 0. (If there are an infinite number of solutions %3D use t and s as your parameters.) X = STEP 2: Use your result from Step 1 to find the kernel of T. (If there are an infinite number of solutions use t and s as your parameters.) eR} ker(T) = { : s, tER (b) nullity(T) STEP 3: Use the fact that nullity(T) = dim(ker(T)) to compute nullity(T). (c) range(T) STEP 4: Transpose A and find its equivalent reduced row-echelon form. 8 4 3 3 3 8 8 4 AT = - 3 3 3 4 4 2 3 3

Define the linear transformation T by T(x) = Ax. Find ker(T), nullity(T), range(T), and rank(T). %3D 8 8 4 3 3 3 8 8 4 A = 3 3 3 4 2 3 4 - 3 3 (a) ker(T) STEP 1: The kernel of T is given by the solution to the equation T(x) = 0. Let x = (x1, x2, X3) and find x such that T(x) = 0. (If there are an infinite number of solutions %3D use t and s as your parameters.) X = STEP 2: Use your result from Step 1 to find the kernel of T. (If there are an infinite number of solutions use t and s as your parameters.) eR} ker(T) = { : s, tER (b) nullity(T) STEP 3: Use the fact that nullity(T) = dim(ker(T)) to compute nullity(T). (c) range(T) STEP 4: Transpose A and find its equivalent reduced row-echelon form. 8 4 3 3 3 8 8 4 AT = - 3 3 3 4 4 2 3 3

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter6: Vector Spaces

Section6.5: The Kernel And Range Of A Linear Transformation

Problem 4EQ

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