Does Weak Convergence Hold for Sequences Approaching Infinity?

In summary, the conversation discusses the proof of weak convergence for a sequence of points in space R^n with a finite region of support for a test function and derivatives of all orders. It is concluded that the function converges weakly to zero because the points in the sequence approach infinity and are outside the region of support for any locally integrable test function.
  • #1
tom_rylex
13
0

Homework Statement


Show that if {x_k} is any sequence of points in space [tex] R^n [/tex] with [tex] |{x_k}| \rightarrow \infty [/tex], then [tex] \delta(x-x_k) \rightarrow 0 [/tex] weakly


Homework Equations





The Attempt at a Solution


I'm still trying to grasp the concept of weak convergence for distributions. It would appear that this function doesn't converge pointwise. The distribution on a test function is
[tex] \int \delta(x-x_k)\theta(x)dx = \theta(x_k)[/tex] Does the function converge weakly to zero because [tex] x_k [/tex] approaches infinity, and therefore would be outside of the region of support of any locally integrable test function?
 
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  • #2
I think that's correct. But what exactly is your set of test functions?
 
  • #3
My set of test functions meet the following criteria:
* function has a finite region of support, inside of which [tex] \theta(x) \neq 0 [/tex], outside of which [tex] \theta(x)=0 [/tex]
* [tex] \theta(x) [/tex] has derivatives of all orders.
 
Last edited:
  • #4
Then you are right. Finite support is enough.
 

1. What is Dirac and weak convergence?

Dirac and weak convergence are two types of convergence in functional analysis. Dirac convergence, also known as strong convergence, is where a sequence of functions or vectors converges to a single point in a space. Weak convergence, on the other hand, is where a sequence of functions or vectors converges to a point in a dual space, which is a space of linear functionals.

2. How are Dirac and weak convergence different?

The main difference between Dirac and weak convergence is the space in which the convergence occurs. Dirac convergence occurs in the original space of functions or vectors, while weak convergence occurs in the dual space. Additionally, Dirac convergence is a stronger type of convergence as it requires the sequence to converge to a single point, while weak convergence allows for convergence to a point in the dual space.

3. What are some examples of Dirac and weak convergence?

An example of Dirac convergence is a sequence of continuous functions converging to a continuous function on a compact interval. An example of weak convergence is a sequence of functions converging to a point in the space of integrable functions on a compact interval.

4. What are the applications of Dirac and weak convergence?

Dirac and weak convergence have many applications in various fields such as functional analysis, probability theory, and quantum mechanics. In functional analysis, they are used to prove the existence of solutions to equations. In probability theory, they are used to define weak laws of large numbers and central limit theorems. In quantum mechanics, they are used to describe the behavior of particles in a system.

5. How are Dirac and weak convergence related to each other?

Dirac and weak convergence are related through the concept of duality. In functional analysis, duality refers to the relationship between a space and its dual space. Dirac convergence occurs in the original space, while weak convergence occurs in the dual space. Additionally, weak convergence can be seen as a weaker form of convergence compared to Dirac convergence.

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