Understanding Sobolev Norms: A Beginner's Guide

  • A
  • Thread starter emmasaunders12
  • Start date
  • Tags
    Norm
In summary, Sobolev norms are a type of norm that takes into consideration the size of derivatives of a function. This means that smoother functions will generally have smaller norms. They also have specific rules for different types of norms, such as 1/2 norms, which use maximums. To ensure that a function has a Sobolev structure and therefore a Sobolev norm, it must be verified that the norm is not infinite. One way to do this is by taking the norm of the function. The Wikipedia definition of Sobolev spaces is a good starting point for understanding more about them. To find the Sobolev norm of a function, one must compute integrals based on the function and its derivative. Finally,
  • #1
emmasaunders12
43
0
Can someone give me in very abstract terms what a sobolev norm is or means?
 
Physics news on Phys.org
  • #2
It is a norm like any other. Sobolev norms take into consideration the size of derivatives of the function as well, so smoother functions will have smaller norms in general. I think there are also rules for 1/2 norms and things like that which use maximums, but I don't have my reference text handy. What are you doing with Sobolev norms?
 
  • #3
RUber said:
It is a norm like any other. Sobolev norms take into consideration the size of derivatives of the function as well, so smoother functions will have smaller norms in general. I think there are also rules for 1/2 norms and things like that which use maximums, but I don't have my reference text handy. What are you doing with Sobolev norms?

Thanks, image registration, so how can you ensure that a function has a sobolev structure and hence a sobolev norm?
 
  • #4
I have normally seen the spaces used as a restriction -- saying that solutions will only be sought from inside a sobolev space. Verifying that a function fits within a sobolev space requires taking the norm. If the norm is not infinite, the function should be in the space.
 
  • #5
RUber said:
I have normally seen the spaces used as a restriction -- saying that solutions will only be sought from inside a sobolev space. Verifying that a function fits within a sobolev space requires taking the norm. If the norm is not infinite, the function should be in the space.
That's a very simple explanation thanks, how does one calculate the sobolev norm of a function and if a function fits within a sobolev space what does that tell us about the function?
 
  • #6
What sort of function are you trying to find the norm for? What space do you want it to be in?
The definitions are mostly based on integrals, so if you know the function, you can compute the norm.
The Wikipedia definition is sufficient without getting too deep into the theory. Otherwise, check out Adams' book on Sobolev Spaces to learn more. https://en.wikipedia.org/wiki/Sobolev_space
If you have a function in mind, we can work through finding the norm together.
 
  • #7
RUber said:
What sort of function are you trying to find the norm for? What space do you want it to be in?
The definitions are mostly based on integrals, so if you know the function, you can compute the norm.
The Wikipedia definition is sufficient without getting too deep into the theory. Otherwise, check out Adams' book on Sobolev Spaces to learn more. https://en.wikipedia.org/wiki/Sobolev_space
If you have a function in mind, we can work through finding the norm together.
Hi its a vector field for image registration, but apparently the solobev norm allows it to be in the space of diffeomorphisms
 
  • #8
emmasaunders12 said:
Hi its a vector field for image registration, but apparently the solobev norm allows it to be in the space of diffeomorphisms
Would be great if you can assist in helping me understand how to find the sobolev norm of a function, I am not even sure how to start?
 
  • #9
Let's say you have a function, like ##f(x) = x^2 ## and your domain is defined by ##x \in [0,2]##, and you want to take the (1,2) Sobolev norm, that is, the 2 norm of the function and 1 derivative. In this case, you would write your norm as
##\| f \|_{1,2} =\left( \int_0^2 \left| f(x) \right| ^2 \, dx + \int_0^2 \left| f'(x) \right|^2 \, dx \right) ^{1/2} ##
##\| f \|_{1,2} =\left( \int_0^2 \left| x^2 \right| ^2 \, dx + \int_0^2 \left| 2x \right|^2 \, dx \right) ^{1/2} ##
In this case, these integrals are easy to compute, and your norm would be:
## \| f \|_{1,2} = \left( \frac{2^5}{5}+ \frac{2^5}{3} \right) ^{1/2} \approx 4.13. ##

Clearly, a function like ##x^2## would not be in this space if the domain were the entire real line, since the norm would not be bounded in that case.
If your only goal is to show that a function is in the space, but not actually compute the norms, there are ways to show this with bounding principles and other arguments.

Does that help?
 
  • #10
RUber said:
Let's say you have a function, like ##f(x) = x^2 ## and your domain is defined by ##x \in [0,2]##, and you want to take the (1,2) Sobolev norm, that is, the 2 norm of the function and 1 derivative. In this case, you would write your norm as
##\| f \|_{1,2} =\left( \int_0^2 \left| f(x) \right| ^2 \, dx + \int_0^2 \left| f'(x) \right|^2 \, dx \right) ^{1/2} ##
##\| f \|_{1,2} =\left( \int_0^2 \left| x^2 \right| ^2 \, dx + \int_0^2 \left| 2x \right|^2 \, dx \right) ^{1/2} ##
In this case, these integrals are easy to compute, and your norm would be:
## \| f \|_{1,2} = \left( \frac{2^5}{5}+ \frac{2^5}{3} \right) ^{1/2} \approx 4.13. ##

Clearly, a function like ##x^2## would not be in this space if the domain were the entire real line, since the norm would not be bounded in that case.
If your only goal is to show that a function is in the space, but not actually compute the norms, there are ways to show this with bounding principles and other arguments.

Does that help?
Thanks essentially I have been told that the function (v) is constrained to be in the space of diffeomorphisms by ensuring the norm of the velocity field is regularized with a differential operator from fluid mechanics to ensure the transformation lies in the space of differmorphisms. Does this make sense
 

Related to Understanding Sobolev Norms: A Beginner's Guide

1. What are Sobolev norms?

Sobolev norms are a way of measuring the smoothness of a function or a distribution. They provide a quantitative measure of how "differentiable" a function is.

2. Why are Sobolev norms important?

Sobolev norms are important because they help us understand the regularity of functions and how they behave under various operations such as differentiation and integration. They also have important applications in fields such as partial differential equations, functional analysis, and harmonic analysis.

3. How are Sobolev norms calculated?

Sobolev norms are calculated by taking the square root of the sum of the squared derivatives of a function up to a certain order. The order of the Sobolev norm determines the number of derivatives used in the calculation.

4. What is the significance of the order in Sobolev norms?

The order of a Sobolev norm indicates the number of derivatives used in the calculation. Higher order Sobolev norms take into account more derivatives and therefore provide a more accurate measure of the smoothness of a function.

5. How can Sobolev norms be useful in practical applications?

Sobolev norms can be useful in practical applications such as image processing, signal processing, and data analysis. They can help us understand the regularity of data and determine the appropriate level of smoothness for different functions. They can also be used in optimization problems to find solutions that are smooth and have desirable properties.

Similar threads

  • Calculus and Beyond Homework Help
Replies
26
Views
1K
Replies
1
Views
792
Replies
2
Views
1K
  • Linear and Abstract Algebra
Replies
20
Views
2K
  • Linear and Abstract Algebra
Replies
7
Views
841
Replies
4
Views
1K
  • Differential Equations
Replies
1
Views
4K
  • Differential Equations
Replies
1
Views
1K
Replies
1
Views
1K
Back
Top