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.
Routine facts about mutual inclusion of classes are used without comment (Toolkit for AL2). Let be a linear map from to . Its kernel and image are subspaces (Kernel and Image of a Linear Map Are Subspaces (ii)), hence vector spaces with the operations of and of (Linear Subspaces Are Vector Spaces; Intersections (i)), and both are finite-dimensional (Properties of Dimension (v)).
Suppose that is injective. Then (Kernel and Image of a Linear Map Are Subspaces (iii)), so (Properties of Dimension (iv), for the vector space ). By The Rank–Nullity Theorem (i), , and because is a subspace of (Properties of Dimension (v)). Hence , which proves (i).
Suppose that is surjective. Then (Kernel and Image of a Linear Map Are Subspaces (iv)), and The Rank–Nullity Theorem (i) gives
which proves (ii).
Now let . By The Rank–Nullity Theorem (i), , so if and only if . The first equality says that (Properties of Dimension (iv)), that is, that is injective (Kernel and Image of a Linear Map Are Subspaces (iii)); the second says that (the equality case of Properties of Dimension (v)), that is, that 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 and are isomorphic, there is an isomorphism of onto , that is, a bijective linear map (Linear Maps, Linear Operators and Isomorphisms of Vector Spaces (iii)), and (i) and (ii) give . Conversely, let . Choose bases of and of (Existence and Invariance of the Length of a Basis (i), Finite-Dimensional Vector Spaces and Their Dimension (ii)), and let be the linear map with for every (Linear Maps Are Determined by Their Values on a Basis (i)). Its image is a subspace of (Kernel and Image of a Linear Map Are Subspaces (ii)) containing every , hence containing their span (The Span of a Finite Family is the Smallest Subspace Containing It (iii)), which is (Finite Basis of a Vector Space (i)). So is surjective, hence bijective by (iii), hence an isomorphism, and and are isomorphic. This proves (iv).
Finally, let . By Linear Maps Form a Vector Space and a Monoid under Composition (vi), is a unit of if and only if it is bijective. By (iii) with , is bijective if and only if it is injective, and if and only if it is surjective; and these say that (Kernel and Image of a Linear Map Are Subspaces (iii)) and that (Kernel and Image of a Linear Map Are Subspaces (iv)). This proves (v).
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