Isomorphism Proof: Hilbert Space Scales & Operators
Introduction
Hey guys! Today, we're diving deep into the fascinating world of functional analysis, specifically focusing on Hilbert space scales and unbounded positive self-adjoint operators. Our main goal is to prove that there exists an isomorphism between \mathcal{H}_1^\,*, the dual space of , and . This is a crucial result in understanding the structure and properties of these spaces, and it has significant implications in various areas of mathematics and physics, including partial differential equations and quantum mechanics. To make this journey smooth and engaging, we will begin by setting up the necessary definitions and background, carefully walking through each step of the proof, and providing intuitive explanations along the way. So, buckle up, and let's get started!
Setting the Stage: Definitions and Background
To start, let's define our playground. Consider a complex Hilbert space . We have , which is a self-adjoint, densely defined operator on . This means that is greater than or equal to the identity operator , it's self-adjoint (i.e., it equals its adjoint), and it's defined on a dense subspace of . Density is key here because it ensures that we can extend our results from this subspace to the entire Hilbert space. Essentially, we're working with an operator that behaves nicely and is broadly applicable within our Hilbert space.
Now, for , we define . Here, denotes the domain of the operator , and this norm essentially measures the 'energy' of with respect to the operator . This is a crucial step in defining our Hilbert space scale. This new norm induces a Hilbert space structure on , which we denote by . Think of as a subspace of equipped with a different way of measuring distances between vectors.
We can also define as the completion of with respect to the norm . Essentially, we're looking at how transforms vectors in and using that to define another norm. Completing with respect to this norm means we're adding in all the 'missing' limit points to make sure our space is complete, which is essential for many analytical arguments. Intuitively, is a larger space than , containing elements that might not be in but can be approximated by elements in in a specific way. We also have that .
The Isomorphism:
Our central goal is to show that \mathcal{H}_1^\,*, the dual space of , is isomorphic to . The dual space \mathcal{H}_1^\,* consists of all bounded linear functionals on . In other words, these are linear maps that take elements from to complex numbers, and they don't 'blow up' (i.e., they're bounded). To prove the isomorphism, we need to construct a bijective (one-to-one and onto) map between \mathcal{H}_1^\,* and that preserves the linear structure. Let's break down the proof step by step.
Defining the Map
Consider f \in \mathcal{H}_1^\,*. By definition, is a bounded linear functional on . This means that there exists a constant such that for all . Our task is to associate this functional with an element in . To do this, we exploit the properties of our operator and the Hilbert space structure.
For , we have . Now, let's consider the expression . Since is bounded on , we can use the Riesz representation theorem on . The Riesz representation theorem states that for every bounded linear functional on a Hilbert space, there exists a unique element in the Hilbert space that represents the functional via the inner product. Therefore, there exists a such that for all .
Now, let's define a map T: \mathcal{H}_1^\,* \rightarrow \mathcal{H}_{-1} as follows: for f \in \mathcal{H}_1^\,*, we define , where is the element in given by the Riesz representation theorem. We want to show that actually lies in and that is an isomorphism.
Showing
To show that , we need to demonstrate that can be approximated by elements in with respect to the norm. Let . We want to evaluate . Since is self-adjoint, we have . Now, we can rewrite this as .
This relationship is crucial because it links the action of on elements of to the functional . We want to show that makes sense as an element of .
We have . Consider . We know that is bounded in \mathcal{H}_1^\,*, so for some constant . If we pick , then . Also, since , we have , which implies . So, .
Since , we can conclude that . Essentially, we've shown that the element associated with has a finite norm in , so it belongs to that space.
Proving is an Isomorphism
Now, let's show that T: \mathcal{H}_1^\,* \rightarrow \mathcal{H}_{-1} is an isomorphism. To do this, we need to prove that is linear, injective (one-to-one), and surjective (onto).
Linearity
Let f, g \in \mathcal{H}_1^\,* and . Then for any , we have . By the Riesz representation theorem, there exist such that and . Then .
So, . This shows that is linear.
Injectivity (One-to-One)
Suppose for some f \in \mathcal{H}_1^\,*. This means , where is the element in representing . Since is positive, implies . Thus, for all . Therefore, , and is injective.
Surjectivity (Onto)
Let . We want to find an f \in \mathcal{H}_1^\,* such that . Since , we can write for some . Define a functional on by for . We need to show that is a bounded linear functional on .
We have . Thus, is bounded on , and f \in \mathcal{H}_1^\,*. Now, we want to show that .
By the Riesz representation theorem, there exists a such that . We have . So, for all . This implies . Then , so .
Therefore, for all , showing that is surjective.
Conclusion
In summary, we have constructed a map T: \mathcal{H}_1^\,* \rightarrow \mathcal{H}_{-1} and shown that it is linear, injective, and surjective. Therefore, is an isomorphism between \mathcal{H}_1^\,* and . This result highlights the deep connection between the dual space of and the space , and it provides valuable insights into the structure of Hilbert space scales associated with powers of unbounded positive self-adjoint operators. This isomorphism is a fundamental result with far-reaching implications in various areas of mathematics and physics. Keep exploring, and there's always more to discover in the beautiful world of functional analysis!