Pointwise multiplication as Hilbert-Schmidt operator on L^2

In summary, pointwise multiplication is a mathematical operation that involves multiplying two functions together at every point. As a Hilbert-Schmidt operator on the space L^2, it refers to the operator that takes in two functions and outputs their pointwise product, which is then integrated over the entire space. This operator is commonly used in functional analysis and has important applications in quantum mechanics and signal processing. Unlike standard multiplication, which is defined for numbers or matrices, pointwise multiplication is defined for functions. This means that instead of multiplying two numbers or matrices together, we are multiplying two functions at each point and then integrating the product over the entire space. L^2 is a suitable space for studying pointwise multiplication as a Hilbert-Schmidt
  • #1
schieghoven
85
1
Hello,

The map [itex] \psi \mapsto A \psi [/itex] for [itex] \psi \in L^2 [/itex], where [itex] A [/itex] is a function and [itex] A \psi [/itex] represents pointwise multiplication, is a bounded map on [itex] L^2 [/itex] if A is essentially bounded. However, the map is not necessarily Hilbert-Schmidt, as for example the identity map (corresponding to [itex] A(x) \equiv 1 [/itex]) demonstrates.

My question is: can I put stronger conditions on A to ensure the map is Hilbert-Schmidt, rather than just bounded?

I hope this is the right group to post this question... there doesn't seem to be a functional analysis group!

Many thanks

Dave
 
Physics news on Phys.org
  • #2


Hello Dave,

Thank you for your question. You are correct, the map \psi \mapsto A \psi is a bounded map on L^2 if A is essentially bounded. This means that there exists a constant M>0 such that \|A\psi\|_{L^2} \leq M \|\psi\|_{L^2} for all \psi \in L^2 .

To ensure that the map is also Hilbert-Schmidt, we can impose the condition that A is a Hilbert-Schmidt operator. This means that the operator norm of A is finite, i.e. \|A\|_{op} < \infty . In other words, the map \psi \mapsto A\psi is not only bounded, but also has a finite norm as an operator on L^2 .

Another way to ensure that the map is Hilbert-Schmidt is to require that A is a compact operator. This means that the image of any bounded set in L^2 under the map \psi \mapsto A\psi is relatively compact. In other words, the map "compresses" the space L^2, and the resulting image is a relatively compact subset of L^2. This condition is stronger than the Hilbert-Schmidt condition, as all Hilbert-Schmidt operators are compact, but not all compact operators are Hilbert-Schmidt.

I hope this helps answer your question. If you have any further inquiries, please do not hesitate to ask.
 

Related to Pointwise multiplication as Hilbert-Schmidt operator on L^2

1. What is pointwise multiplication as a Hilbert-Schmidt operator?

Pointwise multiplication is a mathematical operation that involves multiplying two functions together at every point. As a Hilbert-Schmidt operator on the space L^2, it refers to the operator that takes in two functions and outputs their pointwise product, which is then integrated over the entire space. This operator is commonly used in functional analysis and has important applications in quantum mechanics and signal processing.

2. How is pointwise multiplication different from standard multiplication?

Unlike standard multiplication, which is defined for numbers or matrices, pointwise multiplication is defined for functions. This means that instead of multiplying two numbers or matrices together, we are multiplying two functions at each point and then integrating the product over the entire space. This allows us to extend the concept of multiplication to a wider class of objects.

3. What is the significance of using L^2 as the underlying space for pointwise multiplication?

L^2 is a Hilbert space, which means it is a complete vector space equipped with an inner product. This makes it a suitable space for studying pointwise multiplication as a Hilbert-Schmidt operator, as it allows us to define a norm on the space and study the convergence of sequences of functions. L^2 is also commonly used in the study of quantum mechanics and signal processing, making it a natural choice for this application.

4. What are some properties of pointwise multiplication as a Hilbert-Schmidt operator?

One important property is that the operator is self-adjoint, meaning that it is equal to its own adjoint. This property is useful in proving the spectral theorem for this operator. Additionally, pointwise multiplication is a compact operator, which means it maps bounded sets to relatively compact sets. This property is important in the study of convergence of sequences of functions.

5. How is pointwise multiplication related to the concept of convolution?

Convolution is another mathematical operation that is closely related to pointwise multiplication. While pointwise multiplication involves multiplying two functions at each point, convolution involves integrating the product of two functions over the entire space. In fact, convolution can be thought of as the inverse operation of pointwise multiplication, and both operations have important applications in signal processing and image processing.

Similar threads

  • Quantum Physics
2
Replies
61
Views
2K
Replies
16
Views
551
Replies
3
Views
919
  • Linear and Abstract Algebra
Replies
19
Views
2K
  • Quantum Physics
Replies
32
Views
3K
Replies
14
Views
1K
  • Quantum Physics
Replies
31
Views
4K
  • Advanced Physics Homework Help
Replies
10
Views
2K
Replies
1
Views
914
  • Quantum Physics
Replies
3
Views
752
Back
Top