Functionnal analysis (norm in Sobolev space)

In summary, the problem of finding the eigenvalues of the operator -d²/dt² can be solved using the Lax-Milgram theorem, which states that for a function f in L²[0,1], there exists a unique solution u in H^1_0[0,1]. The map S:L²[0,1]-->H^1_0[0,1] is defined by S(f)=u and is proven to be continuous. Using Hölder's inequality, it can be shown that ||u||_{H^1}\leq C||f||_{L^2}, for a constant C.
  • #1
quasar987
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[SOLVED] Functionnal analysis (norm in Sobolev space)

Homework Statement


In relations to the problem of finding the eigenvalues of the operator -d²/dt², it can be shown (Lax-Milgram) that given f in L²[0,1], there exists a unique u in [tex]H^1_0[0,1][/tex] such that

[tex]\int_0^1u'v' = \int_0^1fv \ \ \forall v \in H^1_0[0,1][/tex]

Consider the map S:L²[0,1]-->[tex]H^1_0[0,1][/tex] defined by S(f)=u.

In arguing that S in continuous, my book says to take v=u. The equation characterizing u is then

[tex]\int_0^1(u')^2 = \int_0^1fu [/tex]

We deduce from this that [tex]||u'||^2_{L^2}\leq ||f||_{L^2}||u||_{L^2}[/tex] (Hölder). And here my book simply says "It results that [tex]||u||_{H^1}\leq C||f||_{L^2}[/tex], for a constant C."

How does that follow? :confused:

Homework Equations


[tex]||u||_{H^1}=\sqrt{||u'||_{L^2}^2+||u||_{L^2}^2}[/tex]

The Attempt at a Solution



Well, we can use the inequality to write

[tex]||u||_{H^1}^2=||u'||_{L^2}^2+||u||_{L^2}^2\leq |f||_{L^2}||u||_{L^2}+||u||_{L^2}[/tex], but then what?
 
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  • #2
That last equation should read

[tex]||u||_{H^1}^2=||u'||_{L^2}^2+||u||_{L^2}^2\leq ||f||_{L^2}||u||_{L^2}+||u||_{L^2}^2[/tex]
 
  • #3
Perhaps slightly closer would be to use

[tex]ab\leq \frac{a^2+b^2}{2}[/tex]

on Hölder's inequality to obtain instead

[tex]||u'||^2_{L^2}\leq \frac{||f||_{L^2}^2+||u||_{L^2}^2}{2}[/tex]

and thus

[tex]||u||_{H^1}\leq \frac{3}{2}||u||_{L^2}^2+\frac{1}{2}||f||_{L^2}^2[/tex]

But can we relate ||u||_2 to ||f||_2 ? :grumpy:
 

What is functional analysis?

Functional analysis is a branch of mathematics that studies vector spaces and linear operators between them. It provides a framework for understanding and solving problems involving functions, such as differential equations.

What is a norm in Sobolev space?

A norm in Sobolev space is a mathematical tool used to measure the size or "length" of a function in a particular space. In Sobolev space, the norm is defined in terms of the function's derivatives, rather than its values at specific points.

Why is functional analysis useful in studying Sobolev spaces?

Functional analysis provides a powerful set of tools and techniques for understanding Sobolev spaces. It allows us to define and study important properties of functions in these spaces, such as continuity and differentiability.

How are norms in Sobolev space related to convergence?

The norm in Sobolev space plays a crucial role in studying convergence of functions. In particular, the norm provides a way to measure the distance between two functions, which is necessary for determining whether a sequence of functions is converging or not.

What are some applications of functional analysis in real-world problems?

Functional analysis has many practical applications, including in physics, engineering, and economics. It is commonly used to study and solve problems involving differential equations, optimization, and signal processing, among others.

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