Linear-Algebra-Done-Right Β· Unit 25 Β· Video 3 Β· Interactive Practice
| Formula | Name | Hypotheses |
|---|---|---|
| Characteristic polynomial | , finite-dimensional; the distinct eigenvalues of , their multiplicities | |
| ; zeros of eigenvalues of | Degree and zeros | same |
| CayleyβHamilton theorem | same | |
| is a polynomial multiple of the minimal polynomial of | Characteristic vs minimal | same; they are equal when the minimal polynomial has degree |
Key Insight: is already on , because a nilpotent operator to the power of the dimension of its domain is ; the factors commute, so each piece of meets its own factor first.
With every exponent equal to its multiplicity the product is ; sometimes smaller exponents already give .
Applying the factors of one at a time, each generalized eigenspace component dies at its own factor.
Problem 1 Β· Build the Characteristic Polynomial
Given: , β find the characteristic polynomial of .
, and . So has dimension , although is a line.
, whose null space and those of its powers are ; so has multiplicity . The multiplicities add up to , and
Problem 2 Β· Characteristic or Minimal?
Given: with matrix in the standard basis, whose characteristic polynomial is β find the minimal polynomial of .
The minimal polynomial divides and has zeros and , so with .
sends , , , ; and sends , , , .
For : . For : sends to , and sends to ; since the factors commute, kills every basis vector. So
Problem 3 Β· Reduce a Power with
Given: has the eigenvalues and β find as a combination of and .
Two distinct eigenvalues on a -dimensional space each have multiplicity , so . By CayleyβHamilton,
Check on the eigenvalues: and .
Problem 4 Β· A Polynomial That Must Vanish
Given: has exactly the eigenvalues and , with β find the polynomial for which is guaranteed.
Over the multiplicities add up to , so and
The other choices can fail. Take with matrix on and on . Then , and , so and do not send to ; nor does .
Solved: 0 / 4