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  • Rank and mullity
  • Rank and nullity
  • Removing a linearly dependent vector from a set does not change the span of the set.
  • R^n is a vector space.
  • Row equivalence is an equivalence relation
  • Row equivalent matrices have the same row space.
  • Row equivalent matrices represent equivalent linear systems
  • Row operations
  • Row operations are given by multiplication by elementary matrices.
  • Row operations do not necessarily preserve the column space.
  • Scalar multiplication
  • Similarity of matrices
  • Similarity of matrices in an equivalence relation.
  • Similar matrices have the same eigenvalues and the same characteristic polynomials.
  • Spans
  • Subspaces
  • Subspaces associated to a linear transformation
  • Subspaces associated to a matrix
  • Switching two rows multiplies the determinant by -1.
  • Symmetric matrices
  • Symmetric matrices are square.
  • Terminology
  • The 0 scalar multiplied by any vector equals the 0 vector.
  • The 0 vector is unique.
  • The 0 vector multiplied by any scalar equals the 0 vector.
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