Finding the Matrix of a Linear Transformation

In summary, to find the matrix of a linear transformation T: R^4 --> R^2, we can use the standard basis for R^4 (which is (1,0,0,0), (0,1,0,0), (0,0,1,0), and (0,0,0,1)) and apply the definition of linearity to find the images of each basis element. Once we have the images, we can use the methods described in the textbook to determine the matrix of T.
  • #1
bakin
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Homework Statement



Assume that T defines a linear transformation and use the given information to find the matrix of T
T: R4-->R2
such that T(1,0,0,0)=(3,-2), T(1,1,0,0)=(5,1), T(1,1,1,0)=(-1,0), and T(1,1,1,1)=(2,2)

Homework Equations


The Attempt at a Solution



I think I need to use/find the standard basis for R4, but not really sure.

Thanks for the help.
 
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  • #2
The standard basis for R^4 is (1,0,0,0), (0,1,0,0), (0,0,1,0), and (0,0,0,1). The idea of this problem is that once you know where the basis elements go, you can uniquely determine what the matrix is (using methods described in your textbook!)

So you need to find T(1,0,0,0), which you already know, along with T(0,1,0,0), T(0,0,1,0), and T(0,0,0,1). How would you find these? (Hint: Use the definition of linearity.)
 
  • #3
Do I set them as linear combinations of each other? [a b c d]=c1v1+c2v2+c3v3+c4v4 ?
 
  • #4
OIWQJFEOIWJQEF just figured it out.

for example, in order to find (0,1,0,0), we can say that's

(0,1,0,0) = a(1,1,0,0)-b(1,0,0,0) if we set a=b=1

T(0,1,0,0)=T(1,1,0,0)-T(1,0,0,0)
T(0,1,0,0)=(5,1)-(3,-2)
T(0,1,0,0)=(2,3) which is indeed the answer provided. I just have to do this for the rest of the vectors.thanks for the help :smile:
 
Last edited:

Related to Finding the Matrix of a Linear Transformation

1. What is a linear transformation matrix?

A linear transformation matrix is a mathematical representation of a linear transformation. It is a square matrix that can be used to transform a vector from one coordinate system to another, or to perform other types of transformations such as scaling, rotating, or shearing.

2. How is a linear transformation matrix written?

A linear transformation matrix is typically written in the form of a square matrix with the transformation coefficients in its elements. The number of rows and columns in the matrix depends on the dimensionality of the vector being transformed.

3. What is the role of a linear transformation matrix in linear algebra?

A linear transformation matrix is a fundamental tool in linear algebra, as it allows for the representation and manipulation of linear transformations in a concise and efficient manner. It also plays a crucial role in solving systems of linear equations and in many other applications in mathematics and science.

4. How is a linear transformation matrix applied to a vector?

To apply a linear transformation matrix to a vector, the vector is typically represented as a column matrix and then multiplied by the transformation matrix. The resulting matrix is a new vector with the transformed coordinates.

5. What are some properties of linear transformation matrices?

Linear transformation matrices have several important properties, including that they are closed under multiplication and addition, and they preserve the properties of linearity and proportionality. They also have an inverse matrix, which can be used to reverse the transformation.

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