Fundamental Theorem of Linear Algebra and SVD

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Here is the pdf I am using to learn SVD Decomposition. On page $2$, it states how the eigenvectors from non-zero eigenvalues of $A^{T}A$ are in the rowspace of $A$ and how eigenvectors from non-zero eigenvalues of $AA^{T}$ are in the columnspace of $A$. Why is this true?