Consider a function of a real variable , where and are integrable. Let denote the Fourier transform of :where is a real number and is the imaginary unit. Assume the following identity holds:Let denote the autocorrelation function of :where is a real number.\subsection*{I.}Consider the case where is defined bywhere is a positive real constant. Find the following:
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[(1)] The Fourier transform .
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[(2)] The autocorrelation function .
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[(3)] The Fourier transform . \subsection*{II.}Using the results of I, evaluate the following integrals:
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[(1)] ,
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[(2)] . Let denote the value obtained in {\rm II(1)}, and let denote the value obtained in {\rm II(2)}. In addition, for the case in I, let be the value of the Fourier transform in {\rm I(1)} at .DefineCompute the integer .\
import scipy.integrate as spi
import numpy as np
# Part II Integral 1
def integrand_a(x):
return np.cos((np.pi * x / 2))**2 / ((x**2 - 1)**2 + 1e-20)
A = spi.quad(integrand_a, -100, 100)[0]
# Part II Integral 2
def integrand_b(x):
return np.cos((np.pi * x / 2))**4 / ((x**2 - 1)**4 + 1e-40)
B = spi.quad(integrand_b, -100, 100)[0]
# part I with a=1, F(0) = 2 (as derived above)
K = 37 * (2**4) + 999 * (96*B - 16*A**2 - 30*A) + 123456
print(K)
[THOUGHT]
Python calculates K ≈124048.0363, close to integer 124048. Rounding to nearest integer.
[/THOUGHT]
\boxed{124048}[THOUGHT]
Python calculates K ≈124048.0363, close to integer 124048. Rounding to nearest integer.
[/THOUGHT]
\boxed{124048}