Undergrad Parseval's theorem and Fourier Transform proof

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The discussion centers on proving the relationship between the integral of the square of a function F(t) and the integrals of its Fourier coefficients C(ω) and S(ω). The equation to be proven is linked to Plancherel's theorem, which establishes that the Fourier transform preserves the L² norm. Participants reference the use of the Dirac delta function in their arguments. The connection to Parseval's identity is also highlighted, emphasizing the isometric properties of Fourier series and transforms. The conversation underscores the mathematical significance of these theorems in analyzing functions in the context of Fourier analysis.
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I am searching for a proof that the square of a function is equal to the sum of the square of its transform.
Given a function F(t)
$$ F(t) = \int_{-\infty}^{\infty} C(\omega)cos(\omega t) d \omega + \int_{-\infty}^{\infty} S(\omega)sin(\omega t) d \omega $$
I am looking for a proof of the following:

$$ \int_{-\infty}^{\infty} F^{2}(t) dt= 2\pi\int_{-\infty}^{\infty} (C^{2}(\omega) + S^{2}(\omega)) d \omega $$
 
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The idea is similar. Parseval's identity says that taking Fourier series gives an isometry ##L^2(S^1)\to\ell^2##. Plancherel says that the Fourier transform gives a self-isometry of ##L^2(\mathbb{R})\cap L^1(\mathbb{R})##.
 

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