3rd Edition

Applied Calculus of Variations for Engineers, Third edition

By Louis Komzsik Copyright 2020
    292 Pages 33 B/W Illustrations
    by CRC Press

    292 Pages 33 B/W Illustrations
    by CRC Press

    Calculus of variations has a long history. Its fundamentals were laid down by icons of mathematics like Euler and Lagrange. It was once heralded as the panacea for all engineering optimization problems by suggesting that all
    one needed to do was to state a variational problem, apply the appropriate Euler-Lagrange equation and solve the resulting differential equation.

    This, as most all encompassing solutions, turned out to be not always true and the resulting differential equations are not necessarily easy to solve. On the other hand, many of the differential equations commonly used in various fields of engineering are derived from a variational problem. Hence it is an extremely important topic justifying the new edition of this book.

    This third edition extends the focus of the book to academia and supports both variational calculus and mathematical modeling classes. The newly added sections, extended explanations, numerous examples and exercises aid the students in learning, the professors in teaching, and the engineers in applying variational concepts.

    Preface

    Acknowledgments

    Author

    Introduction

    I Mathematical foundation

    1 The foundations of calculus of variations

    1.1 The fundamental problem and lemma of calculus of variations

    1.2 The Legendre test

    1.3 The Euler-Lagrange differential equation

    1.4 Minimal path problems

    1.5 Open boundary variational problems

    1.6 Exercises

    2 Constrained variational problems

    2.1 Algebraic boundary conditions

    2.2 Lagrange’s solution

    2.3 Isoperimetric problems

    2.4 Closed-loop integrals

    2.5 Exercises

    3 Multivariate functionals

    3.1 Functionals with several functions

    3.2 Variational problems in parametric form

    3.3 Functionals with two independent variables

    3.4 Minimal surfaces

    3.5 Functionals with three independent variables

    3.6 Exercises

    4 Higher order derivatives

    4.1 The Euler-Poisson equation

    4.2 The Euler-Poisson system of equations

    4.3 Algebraic constraints on the derivative

    4.4 Linearization of second order problems

    4.5 Exercises

    5 The inverse problem

    5.1 Linear differential operators

    5.2 The variational form of Poisson’s equation

    5.3 The variational form of eigenvalue problems

    5.4 Sturm-Liouville problems

    5.5 Exercises

    6 Analytic solutions

    6.1 Laplace transform solution

    6.2 d’Alembert’s solution

    6.3 Complete integral solutions

    6.4 Poisson’s integral formula

    6.5 Method of gradients

    6.6 Exercises

    7 Approximate methods

    7.1 Euler’s method

    7.2 Ritz method

    7.3 Galerkin’s method

    7.4 Approximate solutions of Poisson’s equation

    7.5 Kantorovich’s method

    7.6 Boundary integral method

    7.7 Finite element method

    7.8 Exercises

    II Modeling applications

    8 Differential geometry

    8.1 The geodesic problem

    8.2 A system of differential equations for geodesic curves

    8.3 Geodesic curvature

    8.4 Generalization of the geodesic concept

    9 Computational geometry

    9.1 Natural splines

    9.2 B-spline approximation

    9.3 B-splines with point constraints

    9.4 B-splines with tangent constraints

    9.5 Generalization to higher dimensions

    9.6 Weighting and nonuniform parametrization

    9.7 Industrial applications

    10 Variational equations of motion

    10.1 Legendre’s dual transformation

    10.2 Hamilton’s principle

    10.3 Hamilton’s canonical equations

    10.4 Lagrange’s equations of motion

    10.5 Orbital motion

    10.6 Variational foundation of fluid motion

    11 Analytic mechanics

    11.1 Elastic string vibrations

    11.2 The elastic membrane

    11.3 Bending of a beam under its own weight

    11.4 Buckling of a beam under axial load

    11.4.1 Axial vibration of a beam

    11.5 Simultaneous axial and transversal loading of beam

    11.6 Heat diffusion in a beam

    12 Computational mechanics

    12.1 The finite element technique

    12.2 Three-dimensional elasticity

    12.3 Mechanical system analysis

    12.4 Heat conduction

    12.5 Fluid mechanics

    Solutions

    Notations

    List of Tables

    List of Figures

    References

    Index

    Biography

    Dr. Louis Komzsik worked in the industry as an engineering mathematician for 42 years and during those years also lectured as a Visiting Professor at various southern California colleges and universities. Since his retirement he is lecturing in the Mathematics Department of the University of California at Irvine.