The rank-nullity theorem is a fundamental concept in linear algebra that relates the dimensions of a linear transformation's domain, its kernel (null space), and its image (range). It states that the sum of the rank (the dimension of the image) and the nullity (the dimension of the kernel) of a linear transformation equals the dimension of the domain. This theorem provides important insights into vector spaces and linear independence, highlighting the connections between different subspaces.
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