Linear Transformations in R2

The video tutorial explains how to find the standard matrix for a linear transformation from R2 to R2. It begins by introducing the concept of linear transformations and the goal of finding matrix A such that T(x) = Ax. The tutorial then outlines the process of using known transformations of vectors to determine the columns of the transformation matrix. It involves setting up linear combinations, writing augmented matrices, and using row echelon form to solve for coefficients. The transformations of vectors e1 and e2 are calculated, leading to the construction of the standard matrix. The video concludes with a summary of the steps taken to find the matrix.

What is the primary goal when finding the matrix A for a linear transformation T in R2?

• To calculate the determinant of T

• To identify the eigenvalues of T

• To find the transformation matrix such that T(x) = Ax for all x

• To determine the inverse of T

Which vectors are used to form the columns of the transformation matrix in R2?

• Vectors (1, 2) and (2, 1)

• Vectors (0, 1) and (1, 0)

• Vectors (1, 1) and (1, 0)

• Vectors (1, 0) and (0, 1)

What is the first step in finding the transformation of vector e1 (1,0)?

• Calculating the determinant of the transformation matrix

• Finding the inverse of the transformation matrix

• Identifying the eigenvectors of the transformation matrix

• Writing e1 as a linear combination of known vectors

Tags

CCSS.HSN-VM.B.5A

CCSS.HSN-VM.B.5B

What is the transformation of vector (1,0) after applying the properties of linear transformations?

• (3, 1)

• (0, 1)

• (-11, -3)

• (1, 0)

Tags

CCSS.HSN-VM.B.5A

CCSS.HSN-VM.B.5B

What is the significance of the vectors (1,4) and (2,7) in this transformation process?

• They are the eigenvectors of the transformation

• They are the vectors whose transformations are known

• They are the basis vectors for R2

• They are the columns of the transformation matrix

What is the purpose of writing the augmented matrix in reduced row echelon form?

• To determine the coefficients for the linear combination

• To simplify the calculation of the transformation

• To find the inverse of the matrix

• To calculate the determinant of the matrix

How is the vector e2 (0,1) expressed in terms of known vectors?

• As a linear combination of vectors (1,4) and (2,7)

• As a product of vectors (1,4) and (2,7)

• As a difference of vectors (1,4) and (2,7)

• As a sum of vectors (1,4) and (2,7)

Tags

CCSS.HSN-VM.B.5A

CCSS.HSN-VM.B.5B

What is the transformation of vector (0,1) after applying the properties of linear transformations?

• (3, 1)

• (-11, -3)

• (1, 0)

• (0, 1)

Tags

CCSS.HSN.VM.C.11

What forms the second column of the transformation matrix?

• The transformation of vector (0,1)

• The transformation of vector (1,0)

• The transformation of vector (1,1)

• The transformation of vector (0,0)

Tags

CCSS.HSN.VM.C.9

What is the final transformation matrix for the given linear transformation?

• [[0, 1], [1, 0]]

• [[1, 0], [0, 1]]

• [[3, -11], [1, -3]]

• [[-11, 3], [-3, 1]]

Tags

CCSS.HSN.VM.C.9