Linear Algebra

Vector spaces and linear transformations

ffsshhttiikk fd70e62 942 B Updated

File contents

What I do

  • Perform matrix operations and factorizations
  • Solve systems of linear equations
  • Find eigenvalues and eigenvectors
  • Compute determinants and inverses
  • Apply singular value decomposition
  • Work with vector spaces and linear transformations

When to use me

When solving linear systems, analyzing transformations, or performing dimensionality reduction.

Key Concepts

  • Matrix Multiplication: (AB){ij} = Σ_k A{ik}B_{kj}, generally non-commutative
  • Determinant: det(A) nonzero implies invertibility; det(AB) = det(A)det(B)
  • Eigenvalue Equation: Av = λv, characteristic polynomial det(A - λI) = 0
  • LU Decomposition: A = LU for solving Ax = b efficiently
  • SVD: A = UΣV^T, reveals rank, pseudoinverse, and low-rank approximations
  • Rank: Dimension of column/row space; rank(A) = n - nullity(A)

ffsshhttiikk/opencode-agents-skills/tree/main/linear-algebra commit fd70e62abc

Frequently asked questions

npx skillmds@latest add ffsshhttiikk/linear-algebra