The null space of a matrix cannot be the same as that of its transpose if the matrix is not square, as the multiplication required to define the null space of the transpose is not possible. For a non-square matrix, the null space consists of vectors x such that Ax = 0, but ATx is undefined. Generally, the null spaces of a matrix and its transpose differ. However, if the matrix is symmetric, its null space will be the same as that of its transpose, since it is equal to its own transpose. Understanding these properties is crucial for grasping linear algebra concepts.