Linear Algebra Strategy
Mastering linear algebra requires connecting algebraic procedures with geometric intuition.
4-Step Strategy
- Identify objects: vectors, matrices, transformations, or subspaces.
- Translate into .
- Reduce via Gaussian elimination or eigenvalues.
- Interpret geometrically.
Common Problem Types
| Problem | Tool |
|---|---|
| Solve | Row reduction |
| Is invertible? | or rank |
| Find eigenvalues | Characteristic polynomial |
| Diagonalise | |
| Change basis |
Checks and Pitfalls
Key Insight: Linear algebra problems reduce to one question: what does do to vectors? Eigenvalues and rank answer this completely.
Pre-Submission Checklist
- Verify dimensions match in every multiplication.
- Check: does ? If so, expect infinite or no solutions.
- Substitute your answer back into the original equation.
Common Pitfall: Invertibility is all-or-nothing. One collapsed direction (one zero eigenvalue, , dependent columns) breaks every equivalent property at once. Check the cheapest condition and conclude the rest.