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Evolving synthesis of everything in the wiki. Updated by wiki-ingest when sources shift the understanding.

Current Understanding

The wiki follows Serge Lang's Linear Algebra (3rd ed), chosen for its theoretical rigor: everything is developed abstractly over an arbitrary field $K$, results are proved in full generality, and linear maps are the primary objects (matrices are their coordinate representations). See 읽기 경로 for the chapter-by-chapter route and 원전 소개 — Lang for the source.

The conceptual spine

  1. Structure first (체와 벡터공간기저와 차원합과 직합): a vector space is axioms VS 1–8 over a field; dimension is well defined via the exchange theorem; spaces decompose as direct sums of subspaces.
  2. Maps, then matrices (선형사상선형사상과 행렬): rank–nullity governs every linear map; the map↔matrix correspondence is an isomorphism, and changing basis conjugates the matrix — similarity is the central equivalence.
  3. Geometry from a scalar product (스칼라곱과 직교성쌍대공간과 쌍선형형식): orthonormal bases, the orthogonal complement, $V\cong V^*$, and Sylvester's signature.
  4. The determinant (행렬식): the unique multilinear alternating normalized form; multiplicative, the obstruction to invertibility, the source of the characteristic polynomial.
  5. Spectral theory (대칭·에르미트·유니터리 연산자고윳값과 특성다항식스펙트럼 정리): nice operators get an orthonormal eigenbasis.
  6. Canonical forms via $K[t]$ (연산자의 다항식삼각화와 일차분해조르당 표준형): Cayley–Hamilton, primary decomposition, and Jordan form — essentially the structure theorem for $\mathbb{C}[t]$-modules applied to one operator.
  7. Outward bridge (볼록집합과 크레인–밀만 정리): convexity, separating/supporting hyperplanes, Krein–Milman — toward optimization and functional analysis.

The recurring engine throughout is the pair (direct-sum decomposition into invariant subspaces, non-degenerate scalar product) — the first yields canonical forms, the second yields adjoints and the spectral theorem.

Open Questions

Key Entities / Concepts