What Happens to Av^j When j Exceeds Rank r in SVD?

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Let A be an m × n matrix of rank r and let A = U[tex]\Sigma[/tex]V be an SVD of A. Prove that

Av[tex]^{j}[/tex]= sigma^j* u[tex]^{j}[/tex] for 1<=j<=r

What is Av^j for r + 1<=j<=n?
 
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