Unformatted text preview:

Lecture 31 Note Linear transformations are not on the midterm Linear transformations T ax by aT x bT y T 0 0 T input output Matrix multiplication is a linear transformation A ax by aAx bAy T x is the projection of x into the plane p All linear transformations have a matrix hiding behind them Introduce a basis for R then we get a matrix P Example take the standard basis in R But we can choose a different basis Let the eigenvectors be the basis Now A Linear Transformation Steps Choose transformation T Choose a basis for R Choose a basis for R Construct the matrix A Shift is not a linear transformation Rescaling is a linear transformation Rotating is a linear transformation Example Let input and output spaces be 2x2 Dimension of the input space and the output space are 4 Matrix M has to be a 4x4 matrix A basis for all 2x2 matrices is


View Full Document

MIT 18 06 - Lecture 31

Download Lecture 31
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Lecture 31 and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Lecture 31 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?