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Exercise 901Linear algebra › DeterminantsL1Added 3 Nov 2026

Determinant of a diagonalisable matrix

#diagonalisation#determinant#eigenvalues

Statement

Let AA be diagonalisable with eigenvalues λ1,…,λn\lambda_1,\ldots,\lambda_n. Show that det⁡A=λ1⋯λn\det A=\lambda_1\cdots\lambda_n.

Hint

Write A=PDP−1A=PDP^{-1} and use multiplicativity of the determinant.

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Solution

Diagonalisation. A=PDP−1A=PDP^{-1} with D=diag⁡(λ1,…,λn)D=\operatorname{diag}(\lambda_1,\ldots,\lambda_n).

Determinant.
det⁡A=det⁡(PDP−1)=det⁡P⋅det⁡D⋅det⁡(P−1)=det⁡D=∏iλi.\det A = \det(PDP^{-1})=\det P\cdot\det D\cdot\det(P^{-1})=\det D=\prod_i\lambda_i.

Conclusion. The determinant is the product of the eigenvalues (counted with multiplicity). This is also the constant term of the characteristic polynomial, up to sign.