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Linear Algebra

Linear algebra problems reward finding the right invariant: rank, determinant, trace, nullity, eigenvalues, or a useful basis. When a statement is coordinate-heavy, try translating it into a map between vector spaces.

  • Identify the vector space and the linear map.
  • Check rank-nullity and dimension constraints.
  • Look for invariant subspaces.
  • Use determinant and trace when eigenvalues matter.
  • Change basis if the current coordinates hide the structure.
  • Prove injective equals surjective in finite dimensions.
  • Diagonalize or triangularize when possible.
  • Use minimal polynomials for repeated matrix identities.
  • Convert systems of equations into matrix rank statements.

Practice problems

Tags: linear-algebra

Problem Source Difficulty Tags
Starter Linear Algebra Problem Boilerplate 5 linear-algebra, matrices