Why is the diagonal elements of D from the SVD are proportional to the standard deviations returned by PCA

pca
svd

#1

Hello,

While studying about PCA and SVD I stumbled across this finding:

How are these two coming out to be the same.Does PCA and SVD on a dataset generate some similar matrices or eigen vectors??