Mathematics (Civil Engineering -1) | 18. Separation of Variables, Use of Fourier Series by Abraham | Learn Smarter
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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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Sections

  • 18

    Separation Of Variables, Use Of Fourier Series

    This section explains the powerful techniques of Separation of Variables and Fourier Series for solving partial differential equations, central to various civil engineering applications.

  • 18.1

    Partial Differential Equations (Pdes) And Their Types

    This section introduces Partial Differential Equations (PDEs), focusing on their classification into elliptic, parabolic, and hyperbolic types, which are crucial for civil engineering applications.

  • 18.2

    Method Of Separation Of Variables

    The Method of Separation of Variables is a technique used to solve partial differential equations (PDEs) by assuming the solution can be broken down into products of single-variable functions.

  • 18.2.1

    General Procedure

    This section outlines the general procedure for solving partial differential equations using the method of separation of variables combined with Fourier series.

  • 18.3

    Example: Solving The One-Dimensional Heat Equation

  • 18.4

    Fourier Series

    This section introduces Fourier series as a method to represent periodic functions as sums of sines and cosines, essential for solving differential equations in civil engineering.

  • 18.4.1

    Fourier Series On [−l,l]

    This section introduces the concept of Fourier series, specifically for piecewise continuous functions on the interval [−L,L], detailing how to represent these functions using sine and cosine terms.

  • 18.4.2

    Fourier Sine And Cosine Series

    This section discusses the Fourier sine and cosine series, highlighting their applications in solving partial differential equations with specific boundary conditions.

  • 18.5

    Application Of Fourier Series In Pde Solutions

    Fourier series allow for the determination of unknown coefficients in PDE solutions, helping to express initial conditions as weighted sums of eigenfunctions.

  • 18.6

    Application In Civil Engineering

    This section discusses the application of Fourier series and the method of separation of variables in solving various partial differential equations essential to civil engineering.

  • 18.7

    Key Observations

    The key observations highlight the effectiveness of the separation of variables method and Fourier series in solving linear PDEs with homogeneous conditions.

  • 18.8

    Orthogonality And Eigenfunction Expansion

    This section covers the concepts of orthogonality of eigenfunctions and their importance in Fourier series expansion, particularly in relation to boundary value problems.

  • 18.8.1

    Orthogonality Property

    The orthogonality property of eigenfunctions in Sturm-Liouville problems is essential in constructing Fourier series representations, ensuring unique solutions for PDEs.

  • 18.8.2

    Fourier Coefficients From Inner Products

    This section explains how Fourier coefficients can be derived from inner products, emphasizing their significance in modal analysis in structural engineering.

  • 18.9

    Civil Engineering Example: Temperature In A Concrete Slab

    This section discusses the temperature distribution in a concrete slab using the separation of variables method in partial differential equations.

  • 18.10

    Graphical Interpretation Of Solutions

    This section introduces the graphical representation of vibrational mode shapes and heat distributions using Fourier series solutions.

  • 18.10.1

    Mode Shapes

    Mode shapes represent the specific patterns of vibration within structures, correlated to eigenfunctions that arise in the analysis of PDEs using separation of variables.

  • 18.10.2

    Heat Equation Animation (Conceptual)

    This section describes the conceptual visualization of the heat equation solutions over time, focusing on the evolution of temperature distribution in a medium.

  • 18.11

    Numerical And Computational Aspects

    This section covers the practical applications of the Fourier method in numerical methods, specifically in relation to Finite Element and Finite Difference methods for solving PDEs.

  • 18.11.1

    Truncation And Approximation

    This section discusses how truncation and approximation methods are applied in Fourier series for solving partial differential equations, focusing on the concept of using a finite number of terms to improve accuracy.

  • 18.11.2

    Error Estimation

    Error estimation addresses the limitations of approximating functions with Fourier series, particularly the effects of discontinuities.

  • 18.12

    Application In Beam Vibrations (Wave Equation)

    This section discusses the application of the wave equation in analyzing beam vibrations using the separation of variables method and Fourier series.

  • 18.13

    Use In Fluid Flow – Laplace’s Equation

    This section explores how Laplace's equation is applied in fluid flow scenarios, particularly under specified boundary conditions.

Class Notes

Memorization

What we have learnt

  • Partial differential equati...
  • The method of separation of...
  • Fourier series can represen...

Final Test

Revision Tests