Linear algebraLesson 3 of 5 in the course Eigenvalues and eigenvectors

Characteristic Polynomials: Coefficients, Invariance, and Matrix Functions

5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English

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Summary

For a square matrix AA, an eigenvector v≠0\mathbf{v}\ne\mathbf{0} with eigenvalue λ\lambda satisfies Av=λvA\mathbf{v}=\lambda\mathbf{v}. Rearranging gives (λI−A)v=0(\lambda I-A)\mathbf{v}=\mathbf{0}. A square matrix has a nonzero vector in its null space precisely when it is singular, so an eigenvalue must satisfy det⁡(λI−A)=0\det(\lambda I-A)=0.

Replacing λ\lambda with a variable tt gives a polynomial whose roots are the eigenvalues of AA. The equation obtained by setting this polynomial equal to zero is called the characteristic equation, or sometimes the determinantal equation.

All flashcards

What is the characteristic polynomial?
For a square matrix AA, the standard characteristic polynomial is pA(t)=det⁡(tI−A)p_A(t)=\det(tI-A). It is a polynomial whose roots are the eigenvalues of AA.
How does the eigenvector equation produce the characteristic equation?
From Av=λvA\mathbf{v}=\lambda\mathbf{v} with v≠0\mathbf{v}\ne\mathbf{0}, we get (λI−A)v=0(\lambda I-A)\mathbf{v}=\mathbf{0}. This requires λI−A\lambda I-A to be singular, so det⁡(λI−A)=0\det(\lambda I-A)=0.
What does it mean for a polynomial to be monic?
A polynomial is monic when its leading coefficient is 11. The standard characteristic polynomial of an n×nn\times n matrix is monic and has degree nn.
How do the two common characteristic-polynomial conventions differ?
The standard convention is det⁡(tI−A)\det(tI-A); another is det⁡(A−tI)\det(A-tI). The latter equals (−1)n(-1)^n times the former, so both have the same roots.
What is the characteristic equation?
It is the equation formed by setting the characteristic polynomial equal to zero, such as det⁡(tI−A)=0\det(tI-A)=0. Its solutions are the eigenvalues.

Quiz questions

  1. What is the standard definition of the characteristic polynomial of an n×nn\times n matrix AA?Answer: pA(t)=det⁡(tI−A)p_A(t)=\det(tI-A)
  2. Why must an eigenvalue λ\lambda make det⁡(λI−A)\det(\lambda I-A) equal to zero?Answer: It has a nonzero null vector, so it is singular.
  3. What is the degree of the characteristic polynomial of a 4×44\times4 matrix?Answer: Four
  4. For A=(21−10)A=\begin{pmatrix}2&1\\-1&0\end{pmatrix}, what is det⁡(tI−A)\det(tI-A)?Answer: t2−2t+1t^2-2t+1
  5. If a 3×33\times3 matrix uses the convention det⁡(A−tI)\det(A-tI), how does its polynomial compare with det⁡(tI−A)\det(tI-A)?Answer: It is the negative, with the same roots.

Based on the Wikipedia article Characteristic polynomial, licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.

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