A Definition of the Wilson action on a lattice plaquette?

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The Wilson action in the context of the discrete Yang-Mills model is defined as S_{plaq} (\sigma) := \frac{1}{2}\sum_{plaq}\|I_N - \sigma_p\|^2, where ##\sigma_p## represents a matrix. An example of the ##\sigma_p## matrix is requested, specifically regarding its construction from the product of four square ##\sigma_e## matrices. The multiplication of these matrices, expressed as ##\sigma_p = \sigma_{e1} \sigma_{e2} \sigma_{e3} \sigma_{e4}##, refers to consecutive matrix multiplication. It is highlighted that while matrix multiplication is associative, it is not commutative, meaning the order of multiplication cannot be changed. Understanding these properties is crucial for correctly applying the Wilson action in calculations.
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What are the terms to be calculated in the "Wilson action" definition on a Yang-Mills plaquette?
The definition of the Wilson action relating to discrete Yang-Mills model is:

$$ S_{plaq} (\sigma) := \frac{1}{2}\sum_{plaq}\|I_N - \sigma_p\|^2 $$

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(from [here] at 5:55)

It is mentioned that ##\sigma_p## is some kind of a matrix. Could anyone give an explicit example of what a ##\sigma_p## matrix look like, please?

Does the multiplication of sigmas

$$ \sigma_p = \sigma_{e1} \sigma_{e2} \sigma_{e3} \sigma_{e4} $$

mean consecutive matrix multiplication of the four square ##\sigma_e## matrices?
 
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James1238765 said:
TL;DR Summary: What are the terms to be calculated in the "Wilson action" definition on a Yang-Mills plaquette?

Does the multiplication of sigmas

$$ \sigma_p = \sigma_{e1} \sigma_{e2} \sigma_{e3} \sigma_{e4} $$

mean consecutive matrix multiplication of the four square ##\sigma_e## matrices?
In general, matrix multiplications are associative so you can multiply in whatever order works for you. However, matrix multiplcations are not commutative so you can't switch the order around at all.
 
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