Fourier Coefficients of Continuous functions are square summable.

In summary: Therefore, in summary, we have shown that for any f in the space of continuously differentiable functions on the circle, the sum of the squares of the Fourier coefficients is finite. This result is obtained by using the Cauchy-Schwarz inequality and the fact that the Fourier coefficients of a continuously differentiable function are square summable.
  • #1
Kreizhn
743
1

Homework Statement



If [itex] C^1(\mathbb T) [/itex] denotes the space of continuously differentiable functions on the circle and [itex] f \in C^1(\mathbb T) [/itex] show that
[tex] \sum_{n\in\mathbb Z} n^2 |\hat f(n)|^2 < \infty[/tex]
where [itex] \hat f(n) [/itex] is the Fourier coefficient of f.

The Attempt at a Solution



Since f is continuous it is integrable and so [itex] \widehat{f'}(n) = in \hat f(n) [/itex]. Thus
[tex] \sum_n n^2 |\hat f(n)|^2 = \sum_n |\widehat{f'}(n)|^2 [/tex]
so this boils down to showing that the Fourier coefficients of a continuous function are square summable.

Now not all continuous functions need to have absolutely convergent Fourier series, so somehow this result implies that all continuous functions have square-summable series? This is not clear to me.
 
Physics news on Phys.org
  • #2


One way to approach this problem is by using the Cauchy-Schwarz inequality. We know that for any two sequences of complex numbers, a and b, we have
|\sum_n a_n \overline{b_n}| \leq (\sum_n |a_n|^2)^{1/2} (\sum_n |b_n|^2)^{1/2}.

Applying this to the case at hand, we have
|\sum_n n^2 \hat f(n) \overline{\hat f(n)}| \leq (\sum_n n^4 |\hat f(n)|^2)^{1/2} (\sum_n |\hat f(n)|^2)^{1/2}.

Now, since f is continuously differentiable, f' is also continuous and hence integrable. This means that the Fourier coefficients of f' are also square summable. Therefore, we have
\sum_n n^4 |\hat f(n)|^2 < \infty.

Combining this with the previous inequality, we get
\sum_n n^2 |\hat f(n)|^2 < \infty.

This shows that the Fourier coefficients of f are indeed square summable, as desired.
 

Related to Fourier Coefficients of Continuous functions are square summable.

1. What do Fourier coefficients of continuous functions represent?

The Fourier coefficients of continuous functions represent the amplitudes and frequencies of the individual sinusoidal components that make up the function.

2. Why is it important that these coefficients are square summable?

The square summability of Fourier coefficients ensures that the function can be accurately represented by a finite number of terms in the Fourier series. This is crucial for practical applications, such as signal processing and data compression.

3. How are the Fourier coefficients calculated?

The Fourier coefficients are calculated using the formula cn = (1/T) ∫ f(x)e-2πinx/T dx, where T is the period of the function and n is the frequency index.

4. Can Fourier coefficients be used for any type of function?

Fourier coefficients can only be calculated for periodic functions. For non-periodic functions, techniques such as the Fourier transform are used.

5. How do Fourier coefficients relate to the concept of harmonics?

The Fourier coefficients correspond to the amplitudes of the individual harmonics in the Fourier series. These harmonics are integer multiples of the fundamental frequency and together they create a complete representation of the original function.

Similar threads

  • Calculus and Beyond Homework Help
Replies
6
Views
452
  • Calculus and Beyond Homework Help
Replies
3
Views
368
  • Calculus and Beyond Homework Help
Replies
4
Views
422
  • Calculus and Beyond Homework Help
Replies
1
Views
360
  • Calculus and Beyond Homework Help
Replies
16
Views
620
  • Calculus and Beyond Homework Help
Replies
3
Views
468
  • Calculus and Beyond Homework Help
Replies
7
Views
1K
  • Calculus and Beyond Homework Help
Replies
1
Views
389
  • Calculus and Beyond Homework Help
Replies
1
Views
578
  • Calculus and Beyond Homework Help
Replies
1
Views
292
Back
Top