Does the Sequence {sin(kx)} Converge Weakly to 0 in L^2(0,1)?

Your name]In summary, to prove that the sequence \{sin(kx)\} converges weakly to 0 in L^2(0,1), we need to show that for any L∈L^2(0,1), the limit as k→∞ of the inner product <sin(kx),L> is equal to 0. This can be done by using the definition of the inner product in L^2(0,1) and showing that as k→∞, the integral over the interval (0,1) converges to 0 due to the increasing frequency of the sine function. Therefore, we can conclude that the sequence converges weakly to 0 in L^
  • #1
lmedin02
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Homework Statement


Prove that the sequence [itex]\{sin(kx)\}[/itex] converges weakly to [itex]0[/itex] in [itex]L^2(0,1)[/itex].

Homework Equations


A sequence of elements [itex]\{f_k\}[/itex] in a Banach space [itex]X[/itex] is to converge weakly to an element [itex]x\in X[/itex] if [itex]L(f_k)→L(f)[/itex] as [itex]k→∞[/itex] for each [itex]L[/itex] in the dual of [itex]X[/itex].

The Attempt at a Solution



If the sequence was orthogonal on [itex](0,1)[/itex] then I can apply Bessel's inequality to show that the sequence does converge to [itex]0[/itex]. But this sequence in not orthogonal on [itex](0,1)[/itex]. So I don't know how to approach it anymore. Showing that a sequence is weakly convergent involves calculating an integral in [itex]L^p(a,b)[/itex]. What general idea can I use to calculate these integrals?
 
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  • #2




Thank you for your question. To prove that the sequence \{sin(kx)\} converges weakly to 0 in L^2(0,1), we can use the definition of weak convergence in a Banach space. This definition states that a sequence \{f_k\} in a Banach space X converges weakly to an element x\in X if L(f_k)→L(f) as k→∞ for each L in the dual of X. In this case, the dual of L^2(0,1) is L^2(0,1) itself.

To prove weak convergence, we need to show that for any L∈L^2(0,1), the sequence \{sin(kx)\} converges to 0 weakly. This means we need to show that the limit as k→∞ of the inner product <sin(kx),L> is equal to 0. Using the definition of the inner product in L^2(0,1), we have:

<sin(kx),L> = ∫_0^1 sin(kx)L(x) dx

Since L(x) is in L^2(0,1), we know that it is square integrable on (0,1). This means that the integral above is well-defined and finite. Now, as k→∞, the frequency of the sine function increases and the graph of sin(kx) becomes more and more oscillatory. This results in the integral above being "averaged out" over the interval (0,1), leading to a value close to 0. In fact, the integral will converge to 0 as k→∞, as the oscillations become more and more frequent.

Therefore, we can conclude that for any L∈L^2(0,1), the sequence \{sin(kx)\} converges weakly to 0, and thus the sequence converges weakly to 0 in L^2(0,1). This proves the statement that was given.

I hope this explanation helps. Please let me know if you have any further questions or need clarification. Keep up the good work in your studies!


 

Related to Does the Sequence {sin(kx)} Converge Weakly to 0 in L^2(0,1)?

1. How do you calculate weak limits?

The calculation of weak limits involves taking the limit of a sequence of functions, where the sequence converges pointwise to a function. This can be done by using the definition of weak convergence or by using various theorems and techniques such as the Riesz Representation Theorem or the Banach-Alaoglu Theorem.

2. What is the difference between weak and strong limits?

The main difference between weak and strong limits is the type of convergence. In strong convergence, the limit of a sequence of functions exists and is equal to the limit of the corresponding sequence of values at each point. In weak convergence, the limit of a sequence of functions may not exist, but the sequence converges to a function in a weaker sense, such as in the L^p norm.

3. How can weak limits be applied in real-world problems?

Weak limits have various applications in fields such as physics, engineering, and economics. For example, in quantum mechanics, weak limits are used to describe the behavior of particles in a probabilistic manner. In economics, weak limits are used to model the behavior of markets and predict future trends.

4. Can weak limits be computed analytically?

In some cases, it is possible to compute weak limits analytically using theorems and techniques such as the Riesz Representation Theorem or the Banach-Alaoglu Theorem. However, in most cases, the calculation of weak limits involves numerical methods and approximation techniques.

5. What are the limitations of using weak limits in calculations?

One limitation of using weak limits is that they may not always exist or be well-defined for certain types of functions or sequences. Additionally, the computation of weak limits can be computationally expensive and may not always provide accurate results. It is important to carefully consider the assumptions and limitations of using weak limits in any calculation.

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