How To Find The Matrix Of A Linear Transformation

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Linear transformations with Matrices lesson 4 - Finding the ...

How to Find the Matrix of a Linear Transformation

Linear transformations are an important part of mathematics, and they are used in a variety of applications, including computer graphics, physics, and engineering. A linear transformation is a function that takes a vector as input and outputs another vector. The matrix of a linear transformation is a matrix that represents the transformation. In this article, we will discuss how to find the matrix of a linear transformation.

Definition of a Linear Transformation

A linear transformation is a function that takes a vector as input and outputs another vector. The input vector is called the domain, and the output vector is called the range. A linear transformation is said to be linear if it satisfies the following two properties:

  • Additivity: For any two vectors u and v in the domain, the linear transformation T(u + v) = T(u) + T(v).
  • Homogeneity: For any vector u in the domain and any scalar c, the linear transformation T(cu) = cT(u).

Matrix Representation of a Linear Transformation

The matrix of a linear transformation is a matrix that represents the transformation. The matrix is a rectangular array of numbers, and the number of rows and columns in the matrix is determined by the number of elements in the domain and range of the transformation.

To find the matrix of a linear transformation, we need to find the images of the standard basis vectors. The standard basis vectors are the vectors that have a 1 in one component and 0s in all other components. For example, in a three-dimensional space, the standard basis vectors are (1, 0, 0), (0, 1, 0), and (0, 0, 1).

To find the image of a standard basis vector, we simply apply the linear transformation to the vector. The image of the standard basis vector is then the column of the matrix that corresponds to the component of the vector.

Example

Let’s consider the linear transformation T: R^2 -> R^2 that is defined by the following formula:

T(x, y) = (2x + y, x - y)

To find the matrix of this linear transformation, we need to find the images of the standard basis vectors.

T(1, 0) = (2(1) + 0, 1 - 0) = (2, 1)
T(0, 1) = (2(0) + 1, 0 - 1) = (1, -1)

The matrix of the linear transformation is then:

[2 1]
[1 -1]

Tips and Expert Advice

Here are some tips and expert advice for finding the matrix of a linear transformation:

  • Use the definition of a linear transformation to verify that the function is actually a linear transformation.
  • Find the images of the standard basis vectors to find the columns of the matrix.
  • Check that the matrix satisfies the properties of a linear transformation.

FAQ

Here are some frequently asked questions about finding the matrix of a linear transformation:

  • Q: What is the difference between a linear transformation and a matrix?
  • A: A linear transformation is a function, while a matrix is a representation of a linear transformation.
  • Q: How do I know if a function is a linear transformation?
  • A: A function is a linear transformation if it satisfies the properties of additivity and homogeneity.
  • Q: How do I find the matrix of a linear transformation in R^3?
  • A: To find the matrix of a linear transformation in R^3, you need to find the images of the three standard basis vectors.

Conclusion

In this article, we have discussed how to find the matrix of a linear transformation. We have also provided some tips and expert advice for finding the matrix of a linear transformation. If you are interested in learning more about linear transformations, I encourage you to do some additional research.

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