Matrix Derivative: Solving for \partial_{x}[\det(\textbf{1}-\textbf{M})]

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The discussion centers on expressing the derivative of the determinant of a matrix function, specifically \partial_{x}[\det(\textbf{1}-\textbf{M})], where \textbf{M} is a square matrix dependent on x. The original poster notes that this expression cannot simply be represented as \det(\textbf{1}-\partial_{x}\textbf{M}). They seek assistance in finding a correct formulation involving \textbf{M} and/or its derivative, \partial_{x}\textbf{M}. The conversation highlights the complexity of matrix calculus and the need for precise mathematical expressions. Ultimately, a theorem relevant to the problem is identified, providing the needed clarity.
guerom00
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Hello :smile:

I scratch my head on trying to express \partial_{x}[\det(\textbf{1}-\textbf{M})] , where \textbf{M} is a square matrix whose elements depend on x, as an expression involving \textbf{M} and/or \partial_{x}\textbf{M}.
For instance, I have painfully noticed that it is not equal to \det(\textbf{1}-\partial_{x}\textbf{M}) :biggrin:

Any help would be much apprciated :smile: TIA
 
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Nevermind…
This is the theorem I'm looking for exactly :)
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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