Proving Isomorphism of Skew-Symmetric Matrices to 3D Vectors

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SUMMARY

The discussion centers on proving the isomorphism between skew-symmetric matrices and 3D vectors using the cross product operation. The operation defined is the Lie Bracket, expressed as [X,Y] = XY - YX. A 3x3 skew-symmetric matrix can be represented as a linear combination of three basis matrices that correspond to the standard basis vectors \(\vec{i}\), \(\vec{j}\), and \(\vec{k}\). This representation confirms that the cross product identifies \(\mathbb{R}^3\) as a subalgebra of the Lie Algebra M3(R).

PREREQUISITES
  • Understanding of skew-symmetric matrices
  • Familiarity with the cross product in 3D vector spaces
  • Knowledge of Lie Algebra concepts
  • Ability to work with matrix representations and linear combinations
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  • Study the properties of skew-symmetric matrices in linear algebra
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  • Explore the relationship between matrix algebra and vector spaces
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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).
 

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