TheoremBase

Sketch: every clause follows from the rank-nullity theorem, with the linear extension of a basis for the isomorphism clause and the linearity of the inverse map for the operator clause.

Proof

Routine facts about mutual inclusion of classes are used without comment (Toolkit for AL2). Let TT be a linear map from VV to WW. Its kernel and image are subspaces (Kernel and Image of a Linear Map Are Subspaces (ii)), hence vector spaces with the operations of VV and of WW (Linear Subspaces Are Vector Spaces; Intersections (i)), and both are finite-dimensional (Properties of Dimension (v)).

Suppose that TT is injective. Then ker⁡T={0}\ker T=\{0\} (Kernel and Image of a Linear Map Are Subspaces (iii)), so dim⁡ker⁡T=0\dim\ker T=0 (Properties of Dimension (iv), for the vector space ker⁡T\ker T). By The Rank–Nullity Theorem (i), dim⁡V=dim⁡im⁡T\dim V=\dim\operatorname{im}T, and dim⁡im⁡T≤dim⁡W\dim\operatorname{im}T\leq\dim W because im⁡T\operatorname{im}T is a subspace of WW (Properties of Dimension (v)). Hence dim⁡V≤dim⁡W\dim V\leq\dim W, which proves (i).

Suppose that TT is surjective. Then im⁡T=W\operatorname{im}T=W (Kernel and Image of a Linear Map Are Subspaces (iv)), and The Rank–Nullity Theorem (i) gives

dim⁡V=dim⁡ker⁡T+dim⁡W≥dim⁡W,\dim V=\dim\ker T+\dim W\geq\dim W,

which proves (ii).

Now let dim⁡V=dim⁡W\dim V=\dim W. By The Rank–Nullity Theorem (i), dim⁡W=dim⁡ker⁡T+dim⁡im⁡T\dim W=\dim\ker T+\dim\operatorname{im}T, so dim⁡ker⁡T=0\dim\ker T=0 if and only if dim⁡im⁡T=dim⁡W\dim\operatorname{im}T=\dim W. The first equality says that ker⁡T={0}\ker T=\{0\} (Properties of Dimension (iv)), that is, that TT is injective (Kernel and Image of a Linear Map Are Subspaces (iii)); the second says that im⁡T=W\operatorname{im}T=W (the equality case of Properties of Dimension (v)), that is, that TT is surjective (Kernel and Image of a Linear Map Are Subspaces (iv)). Since bijective means injective and surjective (Injective, Surjective and Bijective Functions between Classes (iii)), the three properties are equivalent, which proves (iii).

If VV and WW are isomorphic, there is an isomorphism of VV onto WW, that is, a bijective linear map (Linear Maps, Linear Operators and Isomorphisms of Vector Spaces (iii)), and (i) and (ii) give dim⁡V=dim⁡W\dim V=\dim W. Conversely, let dim⁡V=dim⁡W=n\dim V=\dim W=n. Choose bases (v1,…,vn)(v_{1},\dots,v_{n}) of VV and (w1,…,wn)(w_{1},\dots,w_{n}) of WW (Existence and Invariance of the Length of a Basis (i), Finite-Dimensional Vector Spaces and Their Dimension (ii)), and let TT be the linear map with Tvi=wiTv_{i}=w_{i} for every ii (Linear Maps Are Determined by Their Values on a Basis (i)). Its image is a subspace of WW (Kernel and Image of a Linear Map Are Subspaces (ii)) containing every wi=Tviw_{i}=Tv_{i}, hence containing their span (The Span of a Finite Family is the Smallest Subspace Containing It (iii)), which is WW (Finite Basis of a Vector Space (i)). So TT is surjective, hence bijective by (iii), hence an isomorphism, and VV and WW are isomorphic. This proves (iv).

Finally, let T∈L(V)T\in\mathcal{L}(V). By Linear Maps Form a Vector Space and a Monoid under Composition (vi), TT is a unit of L(V)\mathcal{L}(V) if and only if it is bijective. By (iii) with W=VW=V, TT is bijective if and only if it is injective, and if and only if it is surjective; and these say that ker⁡T={0}\ker T=\{0\} (Kernel and Image of a Linear Map Are Subspaces (iii)) and that im⁡T=V\operatorname{im}T=V (Kernel and Image of a Linear Map Are Subspaces (iv)). This proves (v).

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