Vector Spaces

Recall (doc/postdoc). Not a first course.

Job: modules over a field; bases and dimension; linear maps classified by rank–nullity.

Core

\(V\) over field \(F\): abelian group \(+\) with scalar mult. \(F\times V\to V\) (distributivity, \(1v=v\), associativity of scalars).

Concept Definition
Subspace closed under \(+\) and scalars; \(0\in W\)
Span all finite \(F\)-linear combinations
Independent \(\sum c_iv_i=0\Rightarrow\) all \(c_i=0\)
Basis independent spanning set; \(\dim V=\) cardinality
Coordinates \([v]_B\) coeffs in ordered basis \(B\)
Rank–nullity \(\operatorname{rank}T+\operatorname{nullity}T=\dim V\) for \(T:V\to W\)

Examples: \(F^n\); \(F[x]_{\le n}\); \(C[0,1]\) (infinite dim); \(\ker T\), \(\operatorname{im}T\).

Isomorphism: finite-dim \(V\cong F^{\dim V}\). Dual \(V^*=L(V,F)\); \((V^*)^*\cong V\) if finite dim.

Used later for

Check

Does every linearly independent set extend to a basis?

Yes in finite dim (and in general with Zorn / AC for arbitrary dim). Without choice, pathological issues arise for some spaces.

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Eigenvalues · Vectors · Modules