Matrix of Linear Transformations

In summary, the linear transformation L from R^2 to R^2 is defined by L(x,y)= (x+2y), (2x-y). The basis S is the natural basis for R^2 and T=(-1,2), (2,0) is another basis for R^2. The matrix representing L with respect to:A) S is [1 2; 2 -1]B) S and T is [1 2; 2 -1]C) T and S is [-3 -1; -4 2]D) T is [-3 -1; -4 2]To evaluate part E, we can use the definition of L and the matrices obtained in
  • #1
newtomath
37
0
L: R^2=>R^2 is defined by L(x,y)= (x+2y), (2x-y)

let S be the natural basis for R^2 and T=(-1,2), (2,0). T is another basis for R^2.

Find the matrix representing L with respect to

A) S
B) S and T
C) T and S
D) T
E) Compute L
L(1,2)
using the definition of L and also the matrices obtained in a,b,c,d.


I am pretty lost here. I plugged in 1,0 0,1 for the natural basis, solving for part A. plugged in T=(-1,2), (2,0) to solve for part C. Is this correct? Any ideas on the rest?
 
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  • #2
I'm not sure what you mean by "plugging in 1, 0, 0, 1" but you can get the matrix representing a linear transformation from a vector space with a given basis, to a vector space with another basis, by applying the linear transformation to each basis vector in the domain space in turn and writing the result in terms of the basis for the range space. The coefficients will be a column in the matrix.

For example, you are told that L(x,y)= (x+2y), (2x-y) so L(1, 0)= ((1+ 0),(2- 0)= (1, 2) and L(0,1)= (0+2(1), 2(0)- 1)= (2, -1). Since (1, 2)= 1(1, 0)+ 2(0,1) and (2, -1)= 2(1, 0)+ (-1)(0, 1) those are the columns of the matrix for (A).

(B) asks for the matrix with respect to "S and T". Again, we have L(1, 0)= (1, 2) and L(0,1)= (2, -1). Now, we need to write those results in terms of basis T: find a and b so that a(-1, 2)+ b(2, 0)= (1, 2) and c and d so that c(-1, 2)+ d(2, 0)= (2, -1). a and b will be the values for the first column and c and d for the second column.

(C) asks for the reverse of that. L(-1, 2)= (-1+ 2(2), 2(-1)- 2)= (-3, -4) and L(2, 0)= (2+ 2(0),2(2)- 0)= (2, 4) and those are already written in terms of basis S.

(D) Knowing that L(-1, 2)= (-3, -4) and L(2, 0)= (2, 4), write them in terms of basis T. Find a and b so that a(-1, 2)+ b(2, 0)= (-3, -4) and c and d so that c(-1, 2)+ b(2, 0)= (2, 4).
 
  • #3
Thanks Hall, that was very clear. By pluggin in I meant using the vectors in the transformations.

Just to clarify, in part C "L(-1, 2)= (-3, -4)' did you mean (3,-4)?

Thanks
 
  • #4
Can you shed some light on how to evaluate part E?
 

What is a matrix of linear transformations?

A matrix of linear transformations is a mathematical representation of a linear transformation between vector spaces. It is a rectangular array of numbers that can be used to perform operations on vectors in a specific coordinate system.

How is a matrix of linear transformations used?

A matrix of linear transformations is used to represent geometric transformations, such as rotations, reflections, and scaling, in a coordinate system. It can also be used to solve systems of linear equations and perform other mathematical operations.

What are the components of a matrix of linear transformations?

The components of a matrix of linear transformations are the coefficients that represent the transformation in each dimension. These coefficients can be used to perform operations on vectors in the coordinate system.

What is the relationship between a matrix of linear transformations and a vector?

A matrix of linear transformations acts on a vector by multiplying the vector by the transformation matrix. This results in a new vector that has been transformed according to the coefficients in the matrix.

How is a matrix of linear transformations different from other types of matrices?

A matrix of linear transformations is different from other types of matrices because it is specifically used to represent linear transformations between vector spaces. It is also different because it has a rectangular shape, whereas other matrices may have different shapes depending on their purpose.

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