Identity for Matrix*Vector differentiation w.r.t a vector

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SUMMARY

The discussion centers on the differentiation of the product of a matrix J and a vector y with respect to the vector x. The proposed identity for differentiation is confirmed as correct: {d [ J(x) y(x)] / dx } = J(x) d y(x) / dx + d J (x) / dx y(x). This application of the product rule is essential for efficiently handling matrix-vector differentiation in various mathematical and engineering contexts.

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MattF1
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I have

J - matrix
x and y - vector

d [ J(x) y(x)] / dx

I can multiply the matrix and vector together and then differentiate but I think for my application it would be better to find an identity like

{d [ J(x) y(x)] / dx } = J(x) d y(x) / dx + d J (x) / dx y(x)

I am not sure if this identity is right though?

Any help appreciated
 
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Yes, you can use the product rule just as you did.
 

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