Real roots of Fourier transform

In summary, the conversation is discussing the criteria for determining if a given function, F[w], has all real roots. The speaker mentions a similar transformation called the Laplace-like transform and how it relates to the function in question. They also mention how the information about the roots of a function can be found in the residues at the poles of its transform. The conversation ends with a question about the speaker's thoughts on the matter.
  • #1
eljose
492
0
If we define the function:

[tex] F[w]=\int_{-\infty}^{\infty}dxe^{-iwx}g(x) [/tex]

my question is..what would be the criterion to decide if F[w] has all the roots real (w=w*) and how is derived?..thanks.
 
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  • #2
If anybody knows the answer to this question, I would be very interested in learning the answer also!

At least in the case of a similar transformation, a Laplace like transform,

Int[e^(-s*sqrt(t))*sin(pi*sqrt(t)),0, infinity] = T{sin(pi*sqrt(t))} = 4*pi*s/(s^2 + pi^2)^2

Int[e^(-s*sqrt(t+c))*sin(pi*sqrt(t+c)),0, infinity] = T{sin(pi*sqrt(t+c))}

= q(s)*e^[-sqrt(c)*s]/(s^2 + pi^2)^2, where q(s) is a cubic polynomial in s, c is an arbitrary positive constant, and t is greater than or equal to 0.

It seems that the information about the zeros of the sine functions above is contained in the residue at the poles of there s-like-transforms, T{f(t)} = F(s), while the kind of function f(t) is, is indicated by the position and order of the poles of F(s). This is only a guess, based on the fact that the transformations above yield functions of s with a common denominator of (s^2 + pi^2)^2, but a different expression in the variable s in the numerator. The two original sine functions in the real variable t have zeros in different locations, but the position and order of the singularities of their s-like-transforms above are identical. As a result, I would presume that all the information about the zeros of the original sine functions in t would have to be tied up in the residues of the singularities of the s-like-transforms

What are your thoughts?

Inquisitively,

Edwin G. Schasteen
 
  • #3


The criterion for determining if the roots of F[w] are all real is known as the Paley-Wiener criterion. This criterion states that if the function g(x) is a bounded and continuous function with compact support (meaning it is equal to zero outside of a finite interval), then the Fourier transform F[w] will have all real roots.

This can be derived by considering the properties of the Fourier transform. One of the properties is that if a function is bounded and continuous with compact support, then its Fourier transform will be an entire function, meaning it is analytic everywhere in the complex plane. This also means that the roots of the Fourier transform will be isolated and can only occur at integer multiples of a certain value.

Since the function g(x) is bounded and continuous with compact support, it can be approximated by a polynomial function, which also satisfies the Paley-Wiener criterion. By using the properties of polynomial functions, it can be shown that the roots of the Fourier transform will be real. This ultimately leads to the conclusion that if g(x) satisfies the Paley-Wiener criterion, then the Fourier transform F[w] will have all real roots.

In summary, the criterion for deciding if the roots of the Fourier transform are all real is the Paley-Wiener criterion, which states that if the function g(x) is a bounded and continuous function with compact support, then the Fourier transform F[w] will have all real roots. This criterion can be derived by considering the properties of the Fourier transform and approximating the function g(x) with a polynomial function.
 

FAQ: Real roots of Fourier transform

What is the Fourier transform?

The Fourier transform is a mathematical operation that decomposes a function into its constituent frequencies. It is commonly used in signal processing and data analysis to convert a signal from its original domain (such as time or space) into a representation in the frequency domain.

What are "real roots" of the Fourier transform?

The real roots of the Fourier transform refer to the points where the transform takes on real values. In other words, these are the points where the transform function crosses the x-axis on a graph.

How are real roots of the Fourier transform calculated?

The real roots of the Fourier transform can be calculated using the inverse Fourier transform. This involves taking the inverse transform of the original function, which will yield a complex-valued function. The real roots can then be found by setting the imaginary component to zero and solving for the values of the real component.

Why are real roots of the Fourier transform important?

The real roots of the Fourier transform provide valuable information about the original function. They can indicate the presence of certain frequencies or patterns in the signal, and can be used to analyze and manipulate the signal in the frequency domain. Real roots can also be used in applications such as filtering and noise reduction.

Are there any limitations to using the Fourier transform to find real roots?

Yes, there are limitations to using the Fourier transform to find real roots. The Fourier transform assumes that the original function is continuous and infinite, which may not always be the case in real-world applications. Additionally, the transform may not accurately capture sudden changes or discontinuities in the function.

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