Understanding Poisson Brackets in Symplectic Notation

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The discussion revolves around understanding the equation related to Poisson brackets in symplectic notation, specifically how to express the matrix of Poisson brackets using canonical coordinates. The user seeks clarity on the relationship between the matrix of Poisson brackets and the Jacobian matrix, denoted as MJMT. It is suggested to explicitly write down the matrices for a few independent coordinates and the matrix J as defined in the textbook to visualize the multiplication process. This approach aims to bridge the gap between the abstract definition of Poisson brackets and their practical application. Ultimately, the goal is to achieve a clearer intuition about the equation presented.
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Okay there is a particular equation in my book, which I just can't seem to understand intuitively. I've been staring at it for an hour now without progress, so I hope some of you can explain it.
Basically it's the one on the attached picture.
Let me introduce the notation so you can help me:
\varsigma is a vector with the new set of canonical coordinates (Q1,...Qn,P1,...,Pn) which are viewed as function of the old coordinates \eta = (q1,..,qn,p1,...,pn). The matrix poisson bracket [\varsigma,\varsigma]\eta then comprise the matrix with the following poisson brackets as elements [\varsigmal,\varsigmak]\eta.
It should then be intuitive that this can be written as MJMT. Where M is the jacobian matrix with elements Mij = \partial\varsigmai/\partial\etaj
How do I realize that?
 

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This is just the definition of Poisson brackets in symplectic notation.I don't think it follows from anywhere.
I guess,you can explicitly write down the matrices explicitly for one or two independent co-ordinates,write down the matrix J explicitly(as defined in your textbook),and we will see the matrix multiplications grinding out the non symplectic familiar poisson bracket expressions.
 
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