It is natural to think that if the dual space \mathcal{V}^\prime of a vector space , and the relations between a space and its dual, are of any interest at all for , then they are of just as much interest for \mathcal{V}^\prime . In other words, we propose now to form the dual space (\mathcal{V}^{\prime})^{\prime} of \mathcal{V}^{\prime} ; for simplicity of notation we shall denote it by \mathcal{V}^{\prime \prime} . The verbal description of an element of \mathcal{V}^{\prime \prime} is clumsy: such an element is a linear functional of linear functionals. It is, however, at this point that the greatest advantage of the notation appears; by means of it, it is easy to discuss and its relation to \mathcal{V}^{\prime \prime} .
If we consider the symbol for some fixed , we obtain nothing new: is merely another way of writing the value of the function at the vector . If, however, we consider the symbol for some fixed , then we observe that the function of the vectors in \mathcal{V}^{\prime} , whose value at is , is a scalar-valued function that happens to be linear (see Section: Brackets , (2)); in other words, defines a linear functional on \mathcal{V}^{\prime} , and, consequently, an element of \mathcal{V}^{\prime \prime} .
By this method we have exhibited some linear functionals on \mathcal{V}^{\prime} ; have we exhibited them all? For the finite-dimensional case the following theorem furnishes the affirmative answer.
Theorem 1. If is a finite-dimensional vector space, then corresponding to every linear functional on \mathcal{V}^{\prime} there is a vector in such that for every in \mathcal{V}^{\prime} ; the correspondence between \mathcal{V}^{\prime\prime} and is an isomorphism.
The correspondence described in this statement is called the natural correspondence between \mathcal{V}^{\prime \prime} and .
Proof. Let us view the correspondence from the standpoint of going from to \mathcal{V}^{\prime \prime} ; in other words, to every in we make correspond a vector in \mathcal{V}^{\prime \prime} defined by for every in \mathcal{V}^{\prime} . Since depends linearly on , the transformation is linear.
We shall show that this transformation is one-to-one, as far as it goes. We assert, in other words, that if and are in , and if and are the corresponding vectors in \mathcal{V}^{\prime \prime} (so that and for all in \mathcal{V}^{\prime} ), and if , then . To say that means that for every in \mathcal{V}^{\prime} ; the desired conclusion follows from Section: Dual bases , Theorem 3.
The last two paragraphs together show that the set of those linear functionals on \mathcal{V}^{\prime} (that is, elements of \mathcal{V}^{\prime \prime} ) that do have the desired form (that is, is identically equal to for a suitable in ) is a subspace of \mathcal{V}^{\prime \prime} which is isomorphic to and which is, therefore, -dimensional. But the -dimensionality of implies that of \mathcal{V}^{\prime} , which in turn implies that \mathcal{V}^{\prime \prime} is -dimensional. It follows that \mathcal{V}^{\prime \prime} must coincide with the -dimensional subspace just described, and the proof of the theorem is complete. ◻
It is important to observe that the theorem shows not only that and \mathcal{V}^{\prime \prime} are isomorphic—this much is trivial from the fact that they have the same dimension—but that the natural correspondence is an isomorphism. This property of vector spaces is called reflexivity; every finite-dimensional vector space is reflexive.
It is frequently convenient to be mildly sloppy about \mathcal{V}^{\prime \prime} : for finite-dimensional vector spaces we shall identify \mathcal{V}^{\prime \prime} with (by the natural isomorphism), and we shall say that the element of \mathcal{V}^{\prime \prime} is the same as the element of whenever for all in \mathcal{V}^{\prime} . In this language it is very easy to express the relation between a basis , in , and the dual basis of its dual basis, in \mathcal{V}^{\prime \prime} ; the symmetry of the relation shows that \mathcal{X}^{\prime \prime}=\mathcal{X} .