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vector-spaces

Problem-solving strategies for vector spaces in linear algebra

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技能内容

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
  1. Linear Independence
  • Set up Ax = 0 where columns are vectors
  • sympy_compute.py nullspace "A"
  • Trivial nullspace = independent
  1. Basis and Dimension
  • Find spanning set, remove dependent vectors
  • sympy_compute.py rref "A" to find pivot columns
  • Dimension = number of pivots
  1. Change of Basis
  • Find transition matrix P
  • New coords = P^(-1) * old coords
  • sympy_compute.py inverse "P"

Tool Commands

Sympy_Nullspace

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

Sympy_Rref

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

Z3_Prove

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.

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