b1 f(b2) b2 Y Y f(b1) * * Part 2: The matrix of the linear transformation relative to the basis B a. Find the B-coordinate vectors for b₁ and b₂. Enter your answers as coordinate vectors of the form <5,6>. [b1]B= [b2]B= b. Find the B-coordinate vectors for f(b₁) and f(b2). Enter your answers as coordinate vectors of the form <5,6>. [f(b1)]B= [f(b2)]B= c. Find the matrix M for the linear transformation f relative to the basis B in both the domain and codomain. That is, find the matrix M such that [f(v)] = M[v] B. For instance, enter [[1,2], [3,4]] for the matrix 3 4 M=

b1 f(b2) b2 Y Y f(b1) * * Part 2: The matrix of the linear transformation relative to the basis B a. Find the B-coordinate vectors for b₁ and b₂. Enter your answers as coordinate vectors of the form <5,6>. [b1]B= [b2]B= b. Find the B-coordinate vectors for f(b₁) and f(b2). Enter your answers as coordinate vectors of the form <5,6>. [f(b1)]B= [f(b2)]B= c. Find the matrix M for the linear transformation f relative to the basis B in both the domain and codomain. That is, find the matrix M such that [f(v)] = M[v] B. For instance, enter [[1,2], [3,4]] for the matrix 3 4 M=

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter9: Systems Of Equations And Inequalities

Section: Chapter Questions

Problem 44RE

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Explain the difference between a square matrix and its determinant. Give an example of each.
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