The rank-nullity theorem states that for any linear transformation between two finite-dimensional vector spaces, the sum of the rank and the nullity of the transformation equals the dimension of the domain. This fundamental concept highlights the relationship between the dimensions of image and kernel, helping to understand the structure of linear transformations and matrices.
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