Question regarding Sobolev embeddings

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In summary: Summary: In summary, the Sobolev embedding theorems state that certain Sobolev spaces can be continuously embedded into other function spaces. This means that every function in the Sobolev space has weak derivatives up to a certain order that are continuous and bounded. However, this does not necessarily mean that the functions are continuously differentiable in the classical sense.
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phibonacci
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Hi,

I'm having a bit of trouble understanding certain Sobolev embedding theorems. For instance, if 1 ≤p<∞, and m,j are non-negative integers and mp>n then Wj+m,p(ℝn) embeds into CjB(ℝn). (See for instance Adams and Fournier, Sobolev Spaces, 2nd edition, Theorem 4.12 p. 85). But does this result mean that every function in Wj+m,p(ℝn) is continuously differentiable in the classical sense up to order j (with the function and its classical derivatives up to order j being bounded and continuous), or does it simply mean that the function has weak derivatives up to order j, and that the function and these weak derivatives are continuous and bounded?
 
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Hi there,

Thank you for reaching out about this topic. The Sobolev embedding theorems can be quite complex and can often be confusing to understand. Let me try to clarify the result you mentioned.

In general, the Sobolev embedding theorems state that certain Sobolev spaces (such as Wj+m,p(ℝn)) can be continuously embedded into other function spaces (such as CjB(ℝn)). This means that every function in Wj+m,p(ℝn) can be mapped to a function in CjB(ℝn) in a continuous way. However, this does not necessarily mean that the functions in Wj+m,p(ℝn) are continuously differentiable in the classical sense up to order j.

Instead, what the result means is that the functions in Wj+m,p(ℝn) have weak derivatives up to order j that are also continuous and bounded. This is the main difference between classical derivatives and weak derivatives - weak derivatives only need to exist in a certain sense, while classical derivatives must be continuous.

I hope this helps to clarify the result for you. If you have any further questions, please don't hesitate to ask.

 

1. What is a Sobolev embedding?

A Sobolev embedding is a mathematical tool used in functional analysis and partial differential equations. It refers to the inclusion of Sobolev spaces, which are spaces of functions with certain smoothness properties, into other function spaces.

2. What are some examples of Sobolev embeddings?

One example is the Sobolev embedding theorem, which states that a function in a Sobolev space can be continuously embedded into a different function space. Other examples include the Gagliardo-Nirenberg-Sobolev inequality and the Sobolev-Poincaré inequality.

3. How are Sobolev embeddings used in mathematical analysis?

Sobolev embeddings are used to study the regularity and behavior of solutions to partial differential equations. They are also used to prove the existence and uniqueness of solutions to certain types of equations.

4. Are Sobolev embeddings only used in mathematics?

No, Sobolev embeddings have applications in various fields such as physics, engineering, and computer science. They are used to model and analyze physical phenomena, design efficient algorithms, and improve numerical simulations.

5. What are some challenges in studying Sobolev embeddings?

One challenge is finding the optimal embedding constant, which determines the strength of the embedding. Another challenge is dealing with the nonlinearity of the Sobolev spaces and the complexity of the inequalities involved in the embeddings.

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