Study Guide — Eigenvalues and orthogonality
Linear algebra
Undergraduate study guide for Eigenvalues and orthogonality.
What this standard means
- Eigenvalues and eigenvectors; diagonalization of square matrices
- Orthogonality, projections, and the Gram–Schmidt process
- Least squares solutions to inconsistent systems
- Inner product spaces and orthonormal bases (introduction)
_See printable PDF for diagram._
How to use the 20 practice sets
| Sets | When to use | | --- | --- | | 1–5 | Intro — explore together, short written items | | 6–10 | Core skills — diagrams and written practice | | 11–15 | Mixed review — explain thinking | | 16–20 | Stretch — word problems and mastery tasks |
Pacing: 10–15 minutes per session.
How to practice
1. Row-reduce systematically 2. Check dimensions before multiplying 3. Visualize span and independence
_See printable PDF for diagram._
Common mistakes
- Dimension mismatch in matrix multiply
- Confusing rank with number of rows
Review and practice tests
1. Start Review 1/10 when sets 1–3 feel comfortable. 2. Move up one review level with little help. 3. Use Practice Test 4/10–6/10 for mid-standard checks. 4. Practice Test 10/10 is the mastery bar for Eigenvalues and orthogonality.
- [ ] Solves linear systems with matrices
- [ ] Computes determinants and inverses when defined
- [ ] Interprets linear maps geometrically
Materials for this standard
- Practice Problems — 20 printable sets
- Review — 10 difficulty levels
- Practice Test — 10 difficulty levels
- Answer key — for parents and tutors