Is a Function Zero if All Its Fourier Coefficients are Zero?

In summary: However, if f(p) > 0, we can construct a sequence of trigonometric polynomials p_k(x) that approach f(p) as k approaches infinity. This would result in the integral of f multiplied by p_k(x) also approaching infinity, which contradicts the fact that it should be 0.In summary, if f is an integrable function and its Fourier series has all coefficients equal to 0, then f(x) = 0 for all x. This is because the integral of f multiplied by any trigonometric polynomial would also be equal to 0, which would contradict the fact that it can approach a non-zero value. I hope this explanation
  • #1
boombaby
130
0

Homework Statement


Suppose that f is an integrable function (and suppose it's real valued) on the circle with c_n=0 for all n, where c_n stands for the coefficient of Fourier series. Then f(p)=0 whenever f is continuous at the point p.


Homework Equations





The Attempt at a Solution


assuming f is continuous at p=0, and supposing f(p)>0, the book (princeton lectures in analysis I) constructed trigonometric polynomials [tex]p_{k}(x)=(\epsilon+cos(x))^{k}[/tex] so that [tex]\int_{-\pi}^{\pi} f(x) p_{k}(x) dx[/tex] approaches infinity as k approaches infinity, contradicting the fact that the integral should* be zero. I have no idea why it should be zero. I thought c_n is defined to be [tex]\int_{-\pi}^{\pi} f(x) e^{-inx} dx[/tex] ? I do not see they are equivalent in some obvious way...what's the idea in it?
Thanks a lot
 
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  • #2
for the help.

Hello,

Thank you for your post. I am a scientist specializing in mathematical analysis and I would be happy to provide some insight into this problem.

Firstly, let's define some terms to make sure we are on the same page. An integrable function is one that is Lebesgue integrable, meaning its integral is well-defined and finite. The Fourier series of a function f is given by the formula c_n = (1/2π) ∫_0^2π f(x)e^(-inx) dx, where c_n is the n-th coefficient of the series. Now, let's consider the statement that if f is integrable and c_n = 0 for all n, then f(p) = 0 whenever f is continuous at the point p.

To understand this, we first need to consider the concept of convergence in the context of Fourier series. The Fourier series of a function f is said to converge to f if the partial sums of the series, S_n(x) = ∑_k= -n^n c_k e^ikx, converge to f(x) as n approaches infinity. This is known as the pointwise convergence of the Fourier series. However, it is possible for a function to have a different value at a point than the limit of its partial sums, even if the series converges pointwise. This is known as a point of discontinuity for the Fourier series.

Now, in the case where c_n = 0 for all n, this means that the Fourier series of f is identically equal to 0. This also means that the partial sums S_n(x) are equal to 0 for all x, and therefore converge to 0 for all x. This implies that the Fourier series of f converges to 0 pointwise, and therefore f(x) = 0 for all x.

To understand why the integral should be 0, we can use the fact that the Fourier coefficients c_n can be expressed in terms of the integral of f. This is given by the formula c_n = (1/2π) ∫_0^2π f(x)e^(-inx) dx. Now, if c_n = 0 for all n, this means that the integral of f multiplied by e^(-inx) is equal to 0 for all n. This implies that the integral of f multiplied by any trigonometric polynomial p_k(x) = (
 

FAQ: Is a Function Zero if All Its Fourier Coefficients are Zero?

What is the Fourier series and why is it unique?

The Fourier series is a mathematical representation of a periodic function using a series of sine and cosine terms. It is unique because it allows us to decompose a complex function into simpler, periodic components that can be easily studied and analyzed.

How is the uniqueness of the Fourier series related to the concept of orthogonality?

The uniqueness of the Fourier series is closely related to the concept of orthogonality. This means that the basis functions (sine and cosine terms) used in the Fourier series are orthogonal, meaning they are perpendicular to each other and have no overlap. This allows us to accurately reconstruct the original function using the Fourier series.

Can any function be represented by a Fourier series?

Yes, any function that is periodic and satisfies certain mathematical conditions (such as being continuous and having a finite number of discontinuities) can be represented by a Fourier series. However, some functions may require an infinite number of terms in their Fourier series to be accurately represented.

How does the uniqueness of the Fourier series contribute to its applications in science and engineering?

The uniqueness of the Fourier series makes it a powerful tool in various fields of science and engineering. It allows for the analysis and synthesis of complex signals, such as audio and electromagnetic waves, as well as the solution of differential equations and other mathematical problems.

Are there any limitations to the uniqueness of the Fourier series?

While the Fourier series is a useful and versatile tool, it does have limitations. It can only be applied to periodic functions, and the convergence of the series may be slow or even fail for certain types of functions, such as those with discontinuities or infinite discontinuities.

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