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:
-
[(1)] The Fourier transform .
-
[(2)] The autocorrelation function .
-
[(3)] The Fourier transform . \subsection*{II.}Using the results of I, evaluate the following integrals:
-
[(1)] ,
-
[(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 .\
The problem asks us to compute a value based on the Fourier transform and autocorrelation of a function .
Part I: Analytical Derivations
-
Fourier Transform : For within and 0 otherwise: Using Python, we will verify the result is .
-
Autocorrelation : We will compute this integral for specifically, as required for Part II.
-
Fourier Transform of Autocorrelation: By the Wiener-Khinchin theorem (and the definition given), .
Part II: Evaluation of Integrals
We need to compute and for the case .
Using the relation derived in the thought process: For , . Thus, the integrand for is . Using Parseval's identity :
Similarly, the integrand for is . Using Parseval's identity on , where :
We will use Python to compute these definite integrals.
[PYTHON] from sympy import symbols, cos, integrate, pi, oo, simplify
Define variables
t, tau, w, x = symbols('t tau w x', real=True) a = symbols('a', positive=True)
Part I: Fourier Transform F(w)
f(t) = cos(at) for |t| <= pi/(2a)
f_t = cos(at) limit = pi / (2a) F_w = integrate(f_t * cos(w*t), (t, -limit, limit)) print(f"F(w) generic: {simplify(F_w)}")
Check F(0) for a=1
F_0 = integrate(cos(t), (t, -pi/2, pi/2)) print(f"F(0) for a=1: {F_0}")
Part II: Calculate A
A = (pi/2) * integral(f(t)^2) for a=1
f(t) = cos(t) for |t| <= pi/2
integral_f_sq = integrate(cos(t)**2, (t, -pi/2, pi/2)) A = (pi/2) * integral_f_sq print(f"Integral of f(t)^2: {integral_f_sq}") print(f"Value of A: {A}")
Part II: Calculate B
First calculate R_f(tau) for a=1
R_f(tau) is even, support is [-pi, pi]
For tau >= 0, integral is from -pi/2 + tau to pi/2
Intersection length is pi - tau. If tau > pi, 0.
Let's define R_f_pos for 0 <= tau <= pi
R_f_pos = integrate(cos(t) * cos(t - tau), (t, -pi/2 + tau, pi/2)) print(f"R_f(tau) for tau>0: {simplify(R_f_pos)}")
B = (pi/8) * integral(R_f(tau)^2) over (-oo, oo)
Since R_f is even and 0 outside [-pi, pi]:
Integral = 2 * integral(R_f(tau)^2, (tau, 0, pi))
integral_Rf_sq = 2 * integrate(R_f_pos**2, (tau, 0, pi)) B = (pi/8) * integral_Rf_sq print(f"Integral of R_f(tau)^2: {integral_Rf_sq}") print(f"Value of B: {B}")
Calculate K
K = 37*(F(0))^4 + 999*(96B - 16A^2 - 30*A) + 123456
K = 37*(F_0)4 + 999(96B - 16A**2 - 30A) + 123456 print(f"Value of K: {K}") print(f"Value of K simplified: {simplify(K)}") [/PYTHON]
[THOUGHT] The Python code successfully computed the values for , , and (implicitly via the integral of ). From the output:
- .
- .
- The integral of over is . Using the relation derived, .
We need to compute .
Calculate the term in the parenthesis: . . .
Substitute these back: .
The middle term vanishes. . [/THOUGHT]
\boxed{124048}