More on Dual Spaces
Reminder and Limits
In one of the previous chapters, we defined the dual space of a normed space as the set of all bounded linear transformations equipped with the norm This space, denoted by or , is itself a normed space.
However, this framework has its limitations. Not every space of interest in analysis can be endowed with a norm that captures the desired notion of convergence. In such cases, the concept of boundedness is no longer adequate, and continuity must be interpreted in a broader, topological sense.
This leads naturally to the idea of topological vector spaces and their corresponding topological duals.
An Overview of Topological Vector Spaces
Let be a set. A topology on is a collection of subsets of (called open sets) satisfying the following properties:
- .
- The union of any collection of sets in belongs to .
- The intersection of any finite collection of sets in belongs to .
The pair is called a topological space.
A topological space is called Hausdorff space if every pair of distinct points have disjoint neighborhoods.
A topological vector space (TVS) over is a Hausdorff space that is also a vector space such that for all and :
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The vector addition is continuous with respect to the product topology on .
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The scalar multiplication is continuous with respect to the product topology on .
Continuous Linear Functional and Topological Dual
Let be a topological vector space over . A linear functional on is a linear map
The functional is said to be continuous if it is continuous with respect to the topology of and the usual topology on . Equivalently, is continuous if for every sequence in that converges to , we have
Let be a topological vector space over The topological dual of , denoted by , is the set of all continuous linear functionals on , that is,
Each element of is called a continuous linear functional on .
If is a normed space, continuity is equivalent to boundedness, and therefore . Where denotes the space of all bounded linear transformation from into .