Eigenvalues

Eigenvalues

When to Use

Use this skill when working on eigenvalues problems in linear algebra.

Decision Tree

1. Compute Characteristic Polynomial

   • det(A - lambda*I) = 0
   • sympy_compute.py charpoly "[[a,b],[c,d]]" --var lam

2. Find Eigenvalues

   • Solve characteristic polynomial
   • sympy_compute.py eigenvalues "[[1,2],[3,4]]"

3. Find Eigenvectors

   • For each eigenvalue lambda: solve (A - lambda*I)v = 0
   • sympy_compute.py eigenvectors "[[1,2],[3,4]]"

4. Verify

   • Check Av = lambda*v with z3_solve.py prove
   • Verify algebraic/geometric multiplicity

Tool Commands

Sympy_Eigenvalues

uv run python -m runtime.harness scripts/sympy_compute.py eigenvalues "[[1,2],[3,4]]"

Sympy_Charpoly

uv run python -m runtime.harness scripts/sympy_compute.py charpoly "[[a,b],[c,d]]" --var lam

Z3_Verify

uv run python -m runtime.harness scripts/z3_solve.py sat "det(A - lambda*I) == 0"

Cognitive Tools Reference

See .claude/skills/math-mode/SKILL.md for full tool documentation.

Source: parcadei/Continuous-Claude-v3 → .claude/skills/math/linear-algebra/eigenvalues/SKILL.md