Finding the Analytic Expression for Exponential of a Tensor Product Matrix

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SUMMARY

The discussion focuses on finding the analytic expression for the exponential of a tensor product matrix defined as exp[t(X⊗X⊗I...⊗I + I⊗X⊗X⊗I...⊗I + ... + I⊗I...⊗X⊗X + X⊗I...⊗I⊗X)], where I is the identity matrix and X is the swap matrix. The user has computed values for N=3, 4, 5, and 6 using Mathematica but seeks a general analytic expression. The discussion suggests using a standard basis for matrix representation and exploring small values of N for potential induction methods.

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Will anyone help me to find out the analytic expression
of the following [tex]2^N\times2^N[/tex] exponential?

[tex]exp[t(X\otimes X\otimes I\ldots\otimes I+I\otimes X\otimes X\otimes I\ldots\otimes I+\ldots+I\otimes I\otimes\ldots I \otimes X \otimes X+X\otimes I\ldots I\otimes X)][/tex],

where

[tex] I= \left[\begin{array}{cc}<br /> 1 & 0 \\<br /> 0 & 1 \end{array}\right][/tex]

and
[tex] X=\left[\begin{array}{cc}<br /> 0 & 1 \\<br /> 1 & 0 \end{array}\right]<br /> [/tex].

[Note that the parenthesis in the `exponential' contains sum of N+1 terms each of which is a tensor product of 2 Xs and (N-2) of Is in some order.]

I've evaluated (via Mathematica) for N=3,4,5,6. But I need an analytic expression for it.

Thanks and Regards.
 
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I'm not quite sure how you arrange the tensor product to get a matrix form again. You can work with a standard basis ##E_{ij} = \begin{cases} 1&\text{ at position }(i,j) \\0&\text{ elsewhere }\end{cases}##, and write the combined matrix accordingly. But this looks as if you want to calculate the derivative at ##t=0## for some purpose, in which case it would probably make more sense to work with $I,X$ where I would write ##X=P## as the permutation it is to make it more obvious.

Investigation of small ##n## and look for an induction should help, too.
 

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