Singular value decomposition using matlab

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The discussion revolves around calculating the Singular Value Decomposition (SVD) of two matrices, A and B, using MATLAB. The user initially attempted to multiply the matrices before applying SVD but encountered an error due to incompatible dimensions. It was clarified that the correct approach is to compute the SVD separately for each matrix, A and B, rather than their product. The user confirmed the need to calculate different SVDs for each matrix. This highlights the importance of understanding matrix dimensions in linear algebra operations.
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Homework Statement


Given matrix,

A= (-1 0 2;2 -1 0)

and

B=(-3 4;2 1)

Find SVD using matlab.


Homework Equations





The Attempt at a Solution



matlab code for svd;

[d,e,f]= svd(c)

c= A*B (but i got an error in MATLAB when i tried this)

thanks
 
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You got an error because you can't multiply A and B. It sounds like you're just supposed to calculate svd(A) and svd(B)
 
So I should calculate different SVD? thanks
 

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