Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2017/ib/paper-4/10f/solution

The dual space here is the algebraic dual space , consisting of every linear functional; no topology or boundedness is imposed. For a basis , define . These are linear functionals satisfying . Evaluating on each gives , proving linear independence. Conversely, for every ,
This proves spanning and hence proves, without assuming a dimension theorem, that the dual basis is a basis and .
The canonical bidual evaluation map is
Its definition makes no choice of basis and it is linear. If , one coordinate functional is nonzero on , so is injective. For any , choose . Expanding in the dual basis gives , proving surjection explicitly. Thus is an isomorphism.
If is any basis of , its dual basis in exists by the result just proved. Put . These vectors form a basis of , and . Every basis of the finite-dimensional dual is a dual basis, of a uniquely determined basis of .
For a separating subspace of an algebraic dual , choose a basis of . The linear map is injective because separates nonzero vectors. The rank-nullity theorem implies ; but implies . Hence
The zero-dimensional case also has this conclusion.
For , the monomials form an infinite basis, each polynomial using only finitely many of them. The map identifies with all real sequences, because any sequence defines . The linear subspace of finitely supported sequences is proper (it excludes ) and separating (one coefficient functional detects any nonzero polynomial). Thus

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