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

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The discussion centers on differentiating the product of a matrix J and a vector y with respect to a vector x. The user proposes an identity for this differentiation, suggesting that it can be expressed as the sum of two terms involving the derivatives of J and y. Other participants confirm that the product rule applies in this context, validating the user's approach. The conversation emphasizes the importance of correctly applying differentiation rules in matrix-vector calculus. Overall, the identity proposed is supported by established differentiation principles.
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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