The dimension theorem states that in a finite-dimensional vector space, the dimension can be expressed in terms of the rank and nullity of a linear transformation. This relationship is significant as it ties together several key concepts, including how many linearly independent vectors can span a space (basis), and the structure of vector spaces through their properties. Understanding this theorem helps clarify the relationships between different dimensions associated with transformations between vector spaces.
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