Multiplying a matrix by its transpose

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SUMMARY

Multiplying a matrix by its transpose is a valid operation under specific conditions. A matrix of size 3 x 2 can be multiplied by its transpose, which is 2 x 3, resulting in a 3 x 3 matrix. The multiplication is defined when the number of columns in the first matrix equals the number of rows in the second matrix. The resulting matrix will have a rank of at most 2, regardless of the order of multiplication.

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I don't see how you multiply a matrix by its transpose. If a matrix is 3 x 2 then its transpose is 2 x 3. I thought you couldn't multiply matrices unless they have the same rows and columns.
 
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For matrices to be multiplied, the condition is that the number of columns of the first matrix should be equal to the number of rows of the other matrix.
 


Nope, if a matrix A is n x m and B is m x l then AB is defined

If you do the same procedure of matric multiplication you'll see that multiplying a 3 x 2 and a 2 x 3 matrix gives you a 3 x 3 matrix of rank at most 2
If you multiply 2 x 3 by 3 x 2 you'll get a 2 x 2 matrix with rank, also (and obviously), at most 2

In terms of components if A = BC, where B is n x m and C is m x l, then

A_{i,k} = \sum_{j=1}^m B_{i,j} C_{j,k}
 

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