Let B be a matrix. How can I tell which (img(B), ker(B^T), img(B^T)) spaces are necessarily orthogonal to ker(B) under standard dot product?
I know the image represents the column space, but I don't understand how we can relate that to determining orthogonality to the Kernel. What characteristic of a matrix shows orthogonality to the kernel?