Fourier transform of integration measure (Peskin and Schroeder)

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SUMMARY

The discussion centers on the integration measure Dφ defined in Peskin and Schroeder's "Introduction to Quantum Field Theory," specifically on page 285. The measure Dφ is expressed as Dφ = Πi dφ(xi) in a discretized space-time lattice of volume L^4. The Fourier transformation φ(kn) = (1/V) Σn e^{-i kn · xi} φ(kn) is analyzed, focusing on k^0_n > 0 as independent variables. The unitarity of the Fourier transformation is crucial as it guarantees the equivalence of the measures Dφ = Πi dφ(xi) and Dφ = Π_{k_n^0 > 0} d Re φ(kn) d Im φ(kn).

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At page 285 in Peskin and Schroeder's Introduction to quantum field theory the author defines the integration measure D\phi = \Pi_i d\phi(x_i) where space-time is being discretised into a square lattice of volume L^4. He proceeds by Fourier-transforming

\phi(k_n) = \frac{1}{V} \sum_n e^{-i k_n \cdot x_i} \phi(k_n)

and considering only k^0_n >0 as independent variables he concludes that since the Fourier transformation is unitary, the measure D\phi = \Pi_i d\phi(x_i) can equivalently be expressed as (equation 9.22)

D\phi = \Pi_{k_n^0 > 0} d Re \phi(k_n) d I am \phi(k_n).

Why is he only considering k^0_n >0 and how does he arrive at this conclusion? What is the relevance of the Fourier transform being unitary?
 
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The author is considering only k^0_n > 0 because they are the independent variables. In order to understand why, it is helpful to look at the Fourier transformation as a change of basis from the x_i space to the k_n space. In this change of basis, some of the k_n may become dependent on each other, meaning that not all of them are independent variables. By considering only k^0_n > 0, the author is ensuring that he is only working with the independent variables.The relevance of the Fourier transform being unitary is that it ensures that the measure D\phi = \Pi_i d\phi(x_i) is equivalent to the measure D\phi = \Pi_{k_n^0 > 0} d Re \phi(k_n) d I am \phi(k_n). This is because the unitarity of the Fourier transformation means that the inverse transformation is the same as the forward transformation, which means that the two measures are equivalent.
 

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