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  • Definition of rank of a linear transformation
  • Definition of nullity of a linear transformation
  • A linear transformation is surjective if and only if the columns of its matrix span the codomain.
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  1. A linear transformation is surjective if and only if the columns of its matrix span the codomain.

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  • A linear transformation is surjective if and only if the rank equals the dimension of the codomain.Close match
  • A linear transformation is onto if and only if its rank equals the number of rows in any matrix representation.Close match
  • A linear transformation is surjective if and only if the image of a basis is a spanning setClose match
  • Equivalence theorem for injective linear transformations: The rank of T is equals the number of columns in any matrix representation..Close match
  • Equivalence theorems for injective transformationsClose match
  • The dimension of the domain of a surjective linear transformation is at least the dimension of the codomain.Close match
  • A linear transformation is invertible if and only if it is injective and surjectiveClose match
  • Equivalence theorem for nonsingular matrices: the linear transformation given by T(x)=Ax is onto/surjective.Close match
  • Equivalence theorem for injective linear transformations: The columns of the matrix of T are linearly independent.Close match
  • The dimension of the domain of an injective linear transformation is at most the dimension of the codomain.Close match
  • Equivalence theorem for injective linear transformations: The rank of T is n.Close match
  • A linear transformation is injective on its generalized range space.Close match
  • Definition of onto/surjective linear transformationClose match
  • Definition of rank of a linear transformationClose match
  • Rank and nullityClose match
  • Equivalence theorem for injective linear transformations: The nullity of T is 0.Close match
  • The rank plus the nullity of a linear transformation equals the dimension of the domain.Close match
  • Definition of one-to-one/injective linear transformationClose match
  • The rank of a matrix equals the rank of the linear transformation it represents.Close match
  • Definition of nullity of a linear transformationClose match

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