15. Fourier Integral to Laplace Transforms
The chapter delves into integral transforms, specifically the Fourier and Laplace transforms, highlighting their applications in solving real-world engineering problems. It discusses the transition from Fourier integrals to Laplace transforms, their properties, limitations, and methods of application, particularly in civil engineering contexts such as structural vibrations, heat conduction, and fluid dynamics. Emphasis is placed on the mathematical framework that allows engineers to model and solve differential equations efficiently using these transforms.
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Sections
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What we have learnt
- Fourier integrals represent non-periodic functions as continuous sums of sine and cosine functions.
- Laplace transforms handle functions that are not absolutely integrable and manage initial-value problems effectively.
- The connection between Fourier and Laplace transforms provides a powerful tool for engineering applications, especially in solving differential equations with initial conditions.
Key Concepts
- -- Fourier Transform
- A mathematical transform used to analyze the frequency components of signals.
- -- Laplace Transform
- A transform that converts a function of time into a function of a complex variable, useful for analyzing linear time-invariant systems.
- -- Convolution Theorem
- A rule that simplifies the operation of multiplying two functions in the transform domain.
- -- Unit Step Function
- A piecewise function commonly used in engineering to represent changes in system inputs.
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