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18. Separation of Variables, Use of Fourier Series

18. Separation of Variables, Use of Fourier Series

The analysis of structures, heat conduction, fluid flow, and wave propagation within civil engineering often requires solving partial differential equations (PDEs). The separation of variables technique simplifies PDEs into ordinary differential equations (ODEs), while Fourier series enable the expression of complex functions as sums of sines and cosines. This chapter covers both methodologies and their applications in engineering problems.

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  1. 18
    Separation Of Variables, Use Of Fourier Series

    This section explains the powerful techniques of Separation of Variables and...

  2. 18.1
    Partial Differential Equations (Pdes) And Their Types

    This section introduces Partial Differential Equations (PDEs), focusing on...

  3. 18.2
    Method Of Separation Of Variables

    The Method of Separation of Variables is a technique used to solve partial...

  4. 18.2.1
    General Procedure

    This section outlines the general procedure for solving partial differential...

  5. 18.3
    Example: Solving The One-Dimensional Heat Equation
  6. 18.4
    Fourier Series

    This section introduces Fourier series as a method to represent periodic...

  7. 18.4.1
    Fourier Series On [−l,l]

    This section introduces the concept of Fourier series, specifically for...

  8. 18.4.2
    Fourier Sine And Cosine Series

    This section discusses the Fourier sine and cosine series, highlighting...

  9. 18.5
    Application Of Fourier Series In Pde Solutions

    Fourier series allow for the determination of unknown coefficients in PDE...

  10. 18.6
    Application In Civil Engineering

    This section discusses the application of Fourier series and the method of...

  11. 18.7
    Key Observations

    The key observations highlight the effectiveness of the separation of...

  12. 18.8
    Orthogonality And Eigenfunction Expansion

    This section covers the concepts of orthogonality of eigenfunctions and...

  13. 18.8.1
    Orthogonality Property

    The orthogonality property of eigenfunctions in Sturm-Liouville problems is...

  14. 18.8.2
    Fourier Coefficients From Inner Products

    This section explains how Fourier coefficients can be derived from inner...

  15. 18.9
    Civil Engineering Example: Temperature In A Concrete Slab

    This section discusses the temperature distribution in a concrete slab using...

  16. 18.10
    Graphical Interpretation Of Solutions

    This section introduces the graphical representation of vibrational mode...

  17. 18.10.1

    Mode shapes represent the specific patterns of vibration within structures,...

  18. 18.10.2
    Heat Equation Animation (Conceptual)

    This section describes the conceptual visualization of the heat equation...

  19. 18.11
    Numerical And Computational Aspects

    This section covers the practical applications of the Fourier method in...

  20. 18.11.1
    Truncation And Approximation

    This section discusses how truncation and approximation methods are applied...

  21. 18.11.2
    Error Estimation

    Error estimation addresses the limitations of approximating functions with...

  22. 18.12
    Application In Beam Vibrations (Wave Equation)

    This section discusses the application of the wave equation in analyzing...

  23. 18.13
    Use In Fluid Flow – Laplace’s Equation

    This section explores how Laplace's equation is applied in fluid flow...

What we have learnt

  • Partial differential equations (PDEs) are crucial in civil engineering applications.
  • The method of separation of variables effectively simplifies PDEs to solve for unknowns.
  • Fourier series can represent complex boundary and initial conditions in various engineering problems.

Key Concepts

-- Partial Differential Equations (PDEs)
Equations involving partial derivatives of multivariable functions, used to model various physical phenomena.
-- Separation of Variables
A mathematical method which assumes a solution can be expressed as a product of functions, each depending on a single variable.
-- Fourier Series
A way to represent a periodic function as a sum of sines and cosines, instrumental in solving PDEs.
-- Eigenfunctions
Functions that arise from linear PDEs with boundary conditions, forming an orthogonal basis for function approximation.

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