58. Matrix Representation
Every linear transformation can be uniquely represented by an matrix such that:
Conversely, every matrix gives a linear transformation. So linear transformations are the same as matrices.
58.1. How to find the matrix
Apply to each standard basis vector . The results become the columns of :
58.2. Why this works (sketch)
Any input is a linear combination of standard basis vectors:
Applying and using linearity:
The columns of are exactly the images of the standard basis under .
Example
rotates by 90° counterclockwise.
, .
Verify: — rotating by 90°.
58.3. Identity transformation
The identity , , has matrix (the identity matrix), since for each standard basis vector.
58.4. See also
- Linear Transformation — definition
- Matrix–Vector Product — the operation that makes a matrix into a transformation
- Change of Basis — what happens to the matrix when you switch bases
- Rotation Matrix, Reflection Matrix, Scaling Matrix, Shear Matrix — common examples