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parcadei / vector-spaces

Problem-solving strategies for vector spaces in linear algebra

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Source: https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/math/linear-algebra/vector-spaces

Skill Content

---
name: vector-spaces
description: "Problem-solving strategies for vector spaces in linear algebra"
allowed-tools: [Bash, Read]
---

# Vector Spaces

## When to Use

Use this skill when working on vector-spaces problems in linear algebra.

## Decision Tree


1. **Check Subspace**
   - Contains zero vector?
   - Closed under addition?
   - Closed under scalar multiplication?
   - Verify with `z3_solve.py prove`

2. **Linear Independence**
   - Set up Ax = 0 where columns are vectors
   - `sympy_compute.py nullspace "A"`
   - Trivial nullspace = independent

3. **Basis and Dimension**
   - Find spanning set, remove dependent vectors
   - `sympy_compute.py rref "A"` to find pivot columns
   - Dimension = number of pivots

4. **Change of Basis**
   - Find transition matrix P
   - New coords = P^(-1) * old coords
   - `sympy_compute.py inverse "P"`


## Tool Commands

### Sympy_Nullspace
```bash
uv run python -m runtime.harness scripts/sympy_compute.py nullspace "[[1,2,3],[4,5,6]]"
```

### Sympy_Rref
```bash
uv run python -m runtime.harness scripts/sympy_compute.py rref "[[1,2,3],[4,5,6]]"
```

### Z3_Prove
```bash
uv run python -m runtime.harness scripts/z3_solve.py prove "subspace_closed"
```

## Cognitive Tools Reference

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