Number of independent entries of a matrix

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The discussion focuses on determining the number of independent parameters in matrices, specifically orthogonal matrices. A general n x n matrix has n² entries. For orthogonal matrices, the constraints include normalization of rows and orthogonality conditions, leading to a reduction of degrees of freedom calculated as n(n-1)/2. The conclusion is that a 2 x 2 orthogonal matrix has one degree of freedom, while a 3 x 3 orthogonal matrix has three degrees of freedom, confirming that these matrices can be represented as rotation matrices.

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Is there an easy way to figure out the number of independent parameters a given matrix has?

For example, a general, real, n x n matrix has n^2 entries and that's easy to realize cause we have a squared array of real numbers. What if this matrix is orthogonal?
 
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For an orthogonal matrix:
Consider the rows, call them ##A_i, i = 1,...,n##. You have the requirement that the rows are normalized, ##A_i A_i^T = 1## for all i. That's ##n## conditions.

And you have that ##A_i A_j^T = 0## for all ##i \neq j##. That's ##n(n-1)/2## conditions. So I believe that removes ##n + n(n-1)/2## degrees of freedom from the entries of ##A##, leaving ##n^2 - n - n(n-1)/2 ## ##= n(n - 1) - n(n-1)/2## ##= n(n-1)/2##. Of course those are nonlinear constraints so I'm not sure the arithmetic must work out exactly that way.

But assuming that it does, then a 2 x 2 has one degree of freedom and a 3 x 3 has three. Are the most general 2 x 2 and 3 x 3 matrices rotation matrices? I think so, and that would make sense. A 2 x 2 rotation matrix has one parameter, the angle. A 3 x 3 rotation matrix has two angles specifying the direction of the rotation axis, and a third expressing the amount of rotation.

You can definitely do this kind of counting for linear constraints. For instance, requiring that a matrix be symmetric , ##a_{ij} = a_{ji}## for ##j \neq i## means that you have ##n^2 - n(n-1)/2## ## = n^2 - (n^2/2) + (n/2)## ## = (n^2/2) + (n/2)## ## = n(n+1)/2## free parameters, the upper triangle (or lower triangle) of the matrix.
 
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kent davidge said:
Is there an easy way to figure out the number of independent parameters a given matrix has?

For example, a general, real, n x n matrix has n^2 entries and that's easy to realize cause we have a squared array of real numbers. What if this matrix is orthogonal?
How many conditions do you get out of ##A^\tau\cdot A=I\,?##
 

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