Linear algebraLesson 3 of 5 in the course Eigenvalues and eigenvectors
Characteristic Polynomials: Coefficients, Invariance, and Matrix Functions
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Summary
For a square matrix , an eigenvector with eigenvalue satisfies . Rearranging gives . A square matrix has a nonzero vector in its null space precisely when it is singular, so an eigenvalue must satisfy .
Replacing with a variable gives a polynomial whose roots are the eigenvalues of . The equation obtained by setting this polynomial equal to zero is called the characteristic equation, or sometimes the determinantal equation.
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Based on the Wikipedia article Characteristic polynomial, licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.
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