Jacobi's formula

In matrix calculus, Jacobi's formula expresses the derivative of the determinant of a matrix A in terms of the adjugate of A and the derivative of A. If A is a differentiable map from the real numbers to n × n matrices, then d d t det A ( t ) = tr ⁡ ( adj ⁡ ( A ( t ) ) d A ( t ) d t ) = ( det A ( t ) ) ⋅ tr ⁡ ( A ( t ) − 1 ⋅ d A ( t ) d t ) {\displaystyle {\frac {d}{dt}}\det A(t)=\operatorname {tr} \left(\operatorname {adj} (A(t))\,{\frac {dA(t)}{dt}}\right)=\left(\det A(t)\right)\cdot \operatorname {tr} \left(A(t)^{-1}\cdot \,{\frac {dA(t)}{dt}}\right)} where tr(X) is the trace of the matrix X and adj ⁡ ( X ) {\displaystyle \operatorname {adj} (X)} is its adjugate matrix. (The latter equality only holds if A(t) is invertible.) As a special case, ∂ det ( A ) ∂ A i j = adj ⁡ ( A ) j i = adj ⁡ ( A ) i j T ⟹ ∂ det ( A ) ∂ A = det ⁡ ( A ) A − T if A invertible.

Source: Wikipedia — Jacobi's formula (CC BY-SA 4.0)

Jacobi's formula

In matrix calculus, Jacobi's formula expresses the derivative of the determinant of a matrix A in terms of the adjugate of A and the derivative of A. If A is a differentiable map from the real numbers to n × n matrices, then d d t det A ( t ) = tr ⁡ ( adj ⁡ ( A ( t ) ) d A ( t ) d t ) = ( det A ( t ) ) ⋅ tr ⁡ ( A ( t ) − 1 ⋅ d A ( t ) d t ) {\displaystyle {\frac {d}{dt}}\det A(t)=\operatorname {tr} \left(\operatorname {adj} (A(t))\,{\frac {dA(t)}{dt}}\right)=\left(\det A(t)\right)\cdot \operatorname {tr} \left(A(t)^{-1}\cdot \,{\frac {dA(t)}{dt}}\right)} where tr(X) is the trace of the matrix X and adj ⁡ ( X ) {\displaystyle \operatorname {adj} (X)} is its adjugate matrix. (The latter equality only holds if A(t) is invertible.) As a special case, ∂ det ( A ) ∂ A i j = adj ⁡ ( A ) j i = adj ⁡ ( A ) i j T ⟹ ∂ det ( A ) ∂ A = det ⁡ ( A ) A − T if A invertible.

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Source: Wikipedia "Jacobi's formula" · CC BY-SA 4.0

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