Math Problem Statement

If F(k_x, k_y) = ∫_{-∞}^∞ ∫_{-∞}^∞ f(x, y) e^{j(k_x x + k_y y)} dx dy represents the spatial Fourier Transform of a wave f(x, y). Then, the value of ∫_{-∞}^∞ ∫_{-∞}^∞ F(k_x, k_y) dk_x dk_y will be:

Solution

The problem involves the spatial Fourier transform of a wave f(x,y)f(x, y). The Fourier transform F(kx,ky)\mathcal{F}(k_x, k_y) is given by the formula:

F(kx,ky)=f(x,y)ej(kxx+kyy)dxdy\mathcal{F}(k_x, k_y) = \int_{-\infty}^{\infty} \int_{-\infty}^{\infty} f(x, y) e^{j(k_x x + k_y y)} \, dx \, dy

We are asked to find the value of the following integral:

F(kx,ky)dkxdky\int_{-\infty}^{\infty} \int_{-\infty}^{\infty} \mathcal{F}(k_x, k_y) \, dk_x \, dk_y

The Fourier transform has an inverse transform that is useful in such questions. The inverse Fourier transform for f(x,y)f(x, y) is:

f(x,y)=1(2π)2F(kx,ky)ej(kxx+kyy)dkxdkyf(x, y) = \frac{1}{(2\pi)^2} \int_{-\infty}^{\infty} \int_{-\infty}^{\infty} \mathcal{F}(k_x, k_y) e^{-j(k_x x + k_y y)} \, dk_x \, dk_y

In this context, the given options involve the integral of the product of f(x,y)f(x, y) and g(x,y)g^*(x, y), where g(x,y)g^*(x, y) is the complex conjugate of some function g(x,y)g(x, y).

Solution Outline:

  • Parse the integral of the Fourier transform and match it with the inverse Fourier transform representation.
  • Use the Fourier convolution theorem or Parseval’s theorem to recognize the correct scaling factor in front of the integral involving f(x,y)f(x, y) and g(x,y)g^*(x, y).

Answer:

The correct option should account for the 2π2\pi-normalization involved in the Fourier transforms. Thus, the correct answer is:

b) 2πf(x,y)g(x,y)dxdy\boxed{b) \ 2\pi \int_{-\infty}^{\infty} \int_{-\infty}^{\infty} f(x, y) g^*(x, y) \, dx \, dy}


Would you like a detailed step-by-step explanation or clarification of any part of this solution? Let me know if you have any questions!

Here are some related questions:

  1. What is the spatial Fourier transform and how does it differ from the temporal Fourier transform?
  2. How is Parseval's theorem applied in solving Fourier transform problems?
  3. Can the Fourier transform be extended to higher dimensions beyond 2D?
  4. What is the physical interpretation of f(x,y)g(x,y)f(x, y) g^*(x, y) in this context?
  5. How does the normalization factor 2π2\pi affect Fourier transforms in general?

Tip: In Fourier analysis, always pay close attention to the normalization constants like 2π2\pi, which can vary depending on conventions.

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Math Problem Analysis

Mathematical Concepts

Fourier Transform
Inverse Fourier Transform
Complex Conjugate
Integration

Formulas

F(k_x, k_y) = ∫_{-∞}^∞ ∫_{-∞}^∞ f(x, y) e^{j(k_x x + k_y y)} dx dy
f(x, y) = (1/(2π)^2) ∫_{-∞}^∞ ∫_{-∞}^∞ F(k_x, k_y) e^{-j(k_x x + k_y y)} dk_x dk_y

Theorems

Parseval's Theorem
Fourier Convolution Theorem

Suitable Grade Level

Undergraduate