Determinant of a Triangular Matrix

Determinant of a Triangular Matrix
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Using the cofactor expansion, explain why the determinant of a triangular matrix is the product of the elements on its diagonal.

Is it the fact that there are $0$'s in the $L$ or $U$ part of the matrix and that somehow comes into play to where only the diagonal is accounted for? I'm not quite sure.

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2 Answers

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Let $$A = \begin{pmatrix} a_{11} & a_{12} & \cdots & a_{1n}\\ & a_{22} & \cdots & a_{2n} \\ & & \ddots & \\ & & & a_{nn}\end{pmatrix}$$

be your upper triangular matrix. Expanding the left most column, the cofactor expansion formula tells you that the determinant of $A$ is

$$a_{11} \cdot \textrm{det} \begin{pmatrix} a_{22} & a_{22} & \cdots & a_{2n}\\ & a_{33} & \cdots & a_{3n} \\ & & \ddots & \\ & & & a_{nn}\end{pmatrix}$$ Now this smaller $(n-1)$ by $(n-1)$ matrix is also upper triangular, so you can compute it as $a_{22}$ times an $(n-2)$ by $(n-2)$ upper triangular determinant:

$$\textrm{det } A = a_{11} a_{22} \cdot \textrm{det} \begin{pmatrix} a_{33} & a_{34} & \cdots & a_{3n}\\ & a_{44} & \cdots & a_{4n} \\ & & \ddots & \\ & & & a_{nn}\end{pmatrix}$$

Iterating this argument, you're eventually going to get

$$\textrm{Det } A = a_{11} \cdots a_{n-2,n-2} \cdot \textrm{det} \begin{pmatrix} a_{n-1,n-1} & a_{n-1,n} \\ & a_{nn} \end{pmatrix} = a_{11} \cdots a_{nn}$$

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Let ${\rm U}_n$ be an invertible $n \times n$ upper triangular matrix. Let

$${\rm U}_{n+1} := \begin{bmatrix} {\rm U}_n & {\rm c}_{n+1}\\ {\rm 0}_n^\top & u_{n+1}\end{bmatrix}$$

Using the Schur complement,

$$\det \left( {\rm U}_{n+1} \right) = \det \begin{bmatrix} {\rm U}_n & {\rm c}_{n+1}\\ {\rm 0}_n^\top & u_{n+1}\end{bmatrix} = \left( u_{n+1} - {\rm 0}_n^\top {\rm U}_n^{-1} {\rm c}_{n+1} \right) \det \left( {\rm U}_{n} \right) = u_{n+1} \det \left( {\rm U}_{n} \right)$$

Let ${\rm U}_{1} =: u_1$. Hence,

$$\begin{aligned} \det \left( {\rm U}_{1} \right) &= u_1\\ \det \left( {\rm U}_{2} \right) &= u_2 \, u_1\\ &\vdots\\ \det \left( {\rm U}_{n} \right) &= \color{blue}{u_n \, u_{n-1}\cdots u_2 \, u_1} \end{aligned}$$

The case where ${\rm U}_n$ is non-invertible is left as an exercise for the reader.


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David Miller
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David Miller

David Miller brings 15 years of experience in global economics, personal finance strategy, and market dynamics. He specializes in turning complex economic trends into actionable insights for everyday readers.