MockExams

Fourier Integral Theorem, Fourier Sine/Cosine Transforms & Inversion Theorems

AI draft, not yet reviewedUnit 4: Fourier Series and IntegralsAbout 3 minutes

Idea in plain words

Fourier Integral Theorem: As period L → ∞, discrete Fourier series becomes a continuous integral: f(x) = (1/π) ∫0^∞ ∫{-∞}^∞ f(t) cos[ω(t - x)] dt dω.

Exam tip

High-yield exam topic (Very High).

Explanation

Fourier series requires periodicity. The Fourier transform extends harmonic analysis to non-periodic transient functions on (-∞, ∞) by taking the asymptotic limit of Fourier series as the fundamental period approaches infinity. In engineering, it transforms differential equations in the time domain into algebraic relationships in the continuous frequency domain.

Key points

  • Fourier Cosine Integral: f(x) = (2/π) ∫_0^∞ cos(ωx) [ ∫_0^∞ f(t) cos(ωt) dt ] dω.
  • Fourier Sine Integral: f(x) = (2/π) ∫_0^∞ sin(ωx) [ ∫_0^∞ f(t) sin(ωt) dt ] dω.
  • Fourier Transform F{f(t)} = F(s) = (1/√(2π)) ∫_{-∞}^∞ f(t) e^{-ist} dt.
  • Inverse Fourier Transform: f(t) = (1/√(2π)) ∫_{-∞}^∞ F(s) e^{ist} ds.
  • Fourier Sine Transform: F_s{f(t)} = F_s(s) = √(2/π) ∫_0^∞ f(t) sin(st) dt; Inverse: f(t) = √(2/π) ∫_0^∞ F_s(s) sin(st) ds.
  • Fourier Cosine Transform: F_c{f(t)} = F_c(s) = √(2/π) ∫_0^∞ f(t) cos(st) dt; Inverse: f(t) = √(2/π) ∫_0^∞ F_c(s) cos(st) ds.
  • Properties: Linearity, Shifting F{f(t - a)} = e^{-isa} F(s), Modulation F{f(t) cos at} = [F(s - a) + F(s + a)] / 2, Derivative F{f'(t)} = is F(s).

Example

Example

Fourier Cosine Transform of f(t) = e^{-at}: F_c(s) = √(2/π) ∫_0^∞ e^{-at} cos(st) dt = √(2/π) [a / (s² + a²)]. Using inverse transform: ∫_0^∞ [cos(st) / (s² + a²)] ds = (π / 2a) e^{-at}.

Code examples

// Fourier Sine Transform & Integral Evaluation:
// Find Fourier Sine Transform of f(t) = e^{-at} (a > 0)
// Step 1: Definition:
//    Fs(s) = √(2/π) ∫_0^∞ e^{-at} sin(st) dt
// Step 2: Use standard integration formula ∫ e^{-at} sin(st) dt = e^{-at}(-a sin st - s cos st) / (a^2 + s^2):
//    Fs(s) = √(2/π) [ e^{-at} (-a sin st - s cos st) / (a^2 + s^2) ]_0^∞
//          = √(2/π) [ 0 - (-s / (a^2 + s^2)) ] = √(2/π) * [ s / (a^2 + s^2) ]
//
// Step 3: By Fourier Sine Inversion Formula:
//    f(t) = √(2/π) ∫_0^∞ Fs(s) sin(st) ds
//    e^{-at} = √(2/π) ∫_0^∞ [ √(2/π) * (s / (a^2 + s^2)) ] sin(st) ds
//    e^{-at} = (2/π) ∫_0^∞ [ (s sin st) / (a^2 + s^2) ] ds
//
// Step 4: Rearranging gives the famous Definite Integral:
//    ∫_0^∞ [ (s sin st) / (s^2 + a^2) ] ds = (π / 2) e^{-at}  (for a > 0, t > 0)

Exam questions

  • [8 Marks] Find the Fourier transform of f(x) = 1 - x² for |x| ≤ 1 and f(x) = 0 for |x| > 1. Hence evaluate ∫_0^∞ [(x cos x - sin x) / x³] cos(x/2) dx.
  • [8 Marks] Using Fourier integral theorem, show that ∫_0^∞ [cos(ωx) / (1 + ω²)] dω = (π / 2) e^{-x} for x ≥ 0.
  • [7 Marks] Find the Fourier cosine transform of e^{-x²}.

BIT151HS

Switch Course

Unit 1: Multiple Integrals

Unit 2: Differential Equations of the First Order

Unit 3: Linear Differential Equations with Constant and Variable Coefficients

Unit 4: Fourier Series and Integrals

Unit 5: Functions of a Complex Variable

Unit 6: Complex Series, Residues and Poles

On this page

Past Exam Questions

Not asked in past exams yet

This topic hasn't appeared in previous exam papers.

Search BIT151HS

Reading

Theme
Reading mode
Text size
Default
Font
Line width
Line spacing