Fourier Transform: Determining Constant in Convolution

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The discussion centers on using the convolution theorem to find the Fourier series of the product of two functions, h(t) = f(t)g(t), both of which have discrete Fourier series. The key issue raised is the determination of the constant 'a' in the convolution, which appears to be arbitrary. Participants explore how 'a' relates to the argument of h and its implications for both the Fourier series and the Fourier transform. The conversation emphasizes the need for clarity on how to define this constant in the context of convolutions in the frequency domain. Understanding the role of 'a' is crucial for accurately applying the convolution theorem in these scenarios.
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I have an exercise with a function of the form:

h(t) = f(t)g(t)

and f(t) and g(t) both have discrete Fourier series, which implies that h does too. I want to find the Fourier series of h, so my teacher said I should apply the convolution theorem which would turn the product above into a convolution in the frequency domain.

ωnf(a-ωn)g(ωn)

But the problem for me is that it seems arbitrary for me what the constant a should be? How is that determined?

The problem also arises in the case where I have a product as above but I want to find the Fourier transform (i.e. now not series but proper integral transform).
The FT will be a convolution but what determines the constant in the convolution?
 
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I suppose you have \hat{h}(a)=\sum_{\omega_n}\hat{f}(a-\omega_n)\hat{g}(\omega_n),

so that a is the argument of h.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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