01

Nilpotent matrix

Define the matrix :

For , calculate the powers , , , , .

(What special property does have? A matrix with that property is said to be nilpotent.)

02

Reflections square to identity

Show that for any with .

This means that reflecting twice across the same line gives back the original vector. (In 2D the hyperplane of reflection is just a line.)

03

Checking formula for inverse

Check the formula for for a matrix by computing by hand and . (You should obtain in both cases.)

Which matrices have an inverse?

(Hint: you just checked a formula that works whenever it makes sense, so there is an inverse whenever it makes sense, given by the formula. Suppose are such that the formula does not make sense. Can you find a vector which is sent to by ?)

04

Inverse of a reflection

Show (in 2D) that the matrix of a reflection is the inverse of itself. Show this first abstractly (using the definition of inverse), and then concretely (using the formulas for reflection and inverse matrices).

05

Inverse of a rotation

Show (in 2D) that the inverse of the matrix of rotation by is the matrix of rotation by .

06

Inverse matrix to find preimage

Repeat the previous example for this data: