Proving Isomorphism of Skew-Symmetric Matrices to 3D Vectors

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The discussion centers on proving that skew-symmetric matrices can be shown to be isomorphic to 3D vectors using the cross product operation. The user initially struggles with the concept of representing skew-symmetric matrices as linear combinations of basis vectors. It is clarified that while matrices are not vectors, they can be expressed as combinations of specific basis matrices that correspond to the 3D basis vectors. The operation defined as X*Y = XY - YX is identified as a Lie Bracket, linking the cross product to the structure of a Lie Algebra. Ultimately, the user gains clarity on the relationship between skew-symmetric matrices and 3D vector operations.
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Homework Statement



Hello, I have been asked to prove that three different matrices which are skew-symmetric with a defined operation can be shown to be isomorphic to the usual vectors in 3d space with the operation of the cross product.

Homework Equations



Well the operation i guess is not so important to state as I have constructed a multiplication table for it but it is X*Y = XY-YX.

The Attempt at a Solution



I know that the cross product for a x b would be a2b3 - a3b2 etc etc and i can see in my head why it is isomorphic I just really do not know how to go about proving it. what should be vectors be, should they all be the same at just i,j,k? i don't know how to prove it without using numbers as the vectors.
please help
 
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also how can i write a skew-symmetric matrix as a linear combination of I J and K?
please help thanks
 


If, by "I, J, and K" you mean the 3-d basis vectors, you can't- matrices are not vectors. But you can write such a matrix as a linear combination of three basis matrices that the isomorphism maps into \vec{i}, \vec{j}, and \vec{k}.

Any 3 by 3 skew-symmetric matrix is of the form
\begin{bmatrix}0 & a & b \\ -a & 0 & c \\ -b & -c & 0\end{bmatrix}
= a\begin{bmatrix}0 & 1 & 0 \\ -1 & 0 & 0 \\ 0 & 0 & 0\end{bmatrix}+ b\begin{bmatrix}0 & 0 & 1 \\ 0 & 0 & 0 \\ -1 & 0 & 0\end{bmatrix}+ c\begin{bmatrix}0 & 0 & 0 \\ 0 & 0 & 1 \\ 0 & -1 & 0\end{bmatrix}
 


thanks so muchhh i think i know what I am doing now! can't believe never knew that way of writing skew-symmetric matrices
 


actually, that operation IS important, it is the typical way of defining a Lie Bracket on a matrix algebra:

[X,Y] = XY - YX

by identifying R^3 with a certain subset of the matrix algebra, you have shown that the cross product can be used to identify R^3 as a subalgebra of the Lie Algebra M3(R).
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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