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Vasile Marinca - Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems

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Vasile Marinca Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems

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This book presents the optimal auxiliary functions method and applies it to various engineering problems and in particular in boundary layer problems. The cornerstone of the presented procedure is the concept of optimal auxiliary functions which are needed to obtain accurate results in an efficient way. Unlike other known analytic approaches, this procedure provides us with a simple but rigorous way to control and adjust the convergence of the solutions of nonlinear dynamical systems. The optimal auxiliary functions are depending on some convergence-control parameters whose optimal values are rigorously determined from mathematical point of view. The capital strength of our procedure is its fast convergence, since after only one iteration, we obtain very accurate analytical solutions which are very easy to be verified. Moreover, no simplifying hypothesis or assumptions are made.

The book contains a large amount of practical models from various fields of engineering such as classical and fluid mechanics, thermodynamics, nonlinear oscillations, electrical machines, and many more.

The book is a continuation of our previous books Nonlinear Dynamical Systems in Engineering. Some Approximate Approaches, Springer-2011 and The Optimal Homotopy Asymptotic Method. Engineering Applications, Springer-2015.

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Book cover of Optimal Auxiliary Functions Method for Nonlinear Dynamical - photo 1
Book cover of Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems
Vasile Marinca , Nicolae Herisanu and Bogdan Marinca
Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems
1st ed. 2021
Logo of the publisher Vasile Marinca Department of Mechanics and Strength - photo 2
Logo of the publisher
Vasile Marinca
Department of Mechanics and Strength of Materials, Polytechnic University of Timioara, Timioara, Romania
Nicolae Herisanu
Department of Mechanics and Strength of Materials, Polytechnic University of Timioara, Timioara, Romania
Bogdan Marinca
Applied Electronics Department, Polytechnic University of Timioara, Timioara, Romania
ISBN 978-3-030-75652-9 e-ISBN 978-3-030-75653-6
https://doi.org/10.1007/978-3-030-75653-6
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

The analytical investigation of nonlinear dynamical systems is one of the most important but difficult tasks, and the present monograph consists of numerous examples from various domains of engineering and applied sciences. Any problem of motion in nonlinear dynamical systems can be assimilated only by working with differential equations which are applied in concrete examples. All examples presented here and treated from an analytical point of view are accompanied by comparisons with numerical results and sometimes with exact solutions, or with other known results in the literature.

The analytical technique presented in this book is an analytical approximation method applicable for highly nonlinear systems independent of the presence of small or large parameters into the governing equations or in the initial/boundary conditions.

A good knowledge of different approximate methods, especially the method of harmonic balance, the method of multiple scales, the optimal homotopy asymptotic method, or KrylovBogoliubov method, led to a better choice of the so-called auxiliary functions, which are decisive for the technique proposed here. In contrast to the other known techniques, our approach provides us with a simple way to control and adjust the convergence regions of solutions corresponding to nonlinear dynamical systems. The methodology proposed in this book is totally different from all other known analytical techniques, especially regarding the choice of the linear operators and optimal auxiliary functions, as well as the determination of the optimal convergence-control parameters.

The success of the present method is an important milestone in any field of exact sciences and techniques. Besides a wide field of applications, the proposed procedure can often be used to provide comparisons with the results obtained by other procedures.

The intended readers of this book include undergraduate students and graduate students doing projects on doctoral research in the field of nonlinear dynamical systems; researchers, engineers and university teachers will also find this book useful.

The work is based on the results obtained by the authors in the last years of research in the field of nonlinear dynamical systems. New results are illustrated by numerical examples. It is assumed that the reader already has minimal knowledge on how to differentiate and integrate elementary functions. Also, computer skills would be essential because computer simulation is a powerful tool for examination, confirmation and sometimes for refutation of the obtained results.

The book is divided into 31 chapters. The Chap. , the optimal auxiliary functions method is applied piecewise.

Here are treated models from various fields of engineering such as mechanical vibration, thermodynamics, fluid mechanics, astronomy, electrical machine and so on. Most models will demand some independent thinking and are selected in order to illustrate the main ideas of our procedure, which allowed the readers to understand the present material.

Vasile Marinca
Nicolae Herisanu
Bogdan Marinca
Timisoara, Romania
2021
Contents
Part I A Short Introduction to the Optimal Auxiliary Functions Method
Part II The Optimal Auxiliary Functions Method in Engineering Applications
Part III Some Variants and Modifications of the Basic Optimal Auxiliary Functions Method
Part I A Short Introduction to the Optimal Auxiliary Functions Method
The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
V. Marinca et al. Optimal Auxiliary Functions Method for Nonlinear Dynamical Systems https://doi.org/10.1007/978-3-030-75653-6_1
1. Introduction
Vasile Marinca
(1)
Department of Mechanics and Strength of Materials, Polytechnic University of Timioara, Timioara, Romania
(2)
Department of Mechanics and Strength of Materials, Polytechnic University of Timioara, Timioara, Romania
(3)
Applied Electronics Department, Polytechnic University of Timioara, Timioara, Romania
Vasile Marinca (Corresponding author)
Email:
Nicolae Herisanu
Email:
Bogdan Marinca
Email:

A nonlinear system is a set of nonlinear equationsdifferential, integral, functional, algebraic, difference, or abstract operator equations, or a combination of some of theseused to describe a physical device or process that otherwise cannot be clearly defined by a set of linear equations of any kind. Dynamical system is used as a synonym for mathematical or physical system when the describing equations represent evolution of a solution with an independent variable []. The nonlinear systems are used to describe a great variety of engineering and scientific phenomena varying from social, life and physical sciences to engineering and technology. Theory of nonlinear dynamical systems has been applied to a rich spectrum of problems in various engineering disciplines and also in physics, chemistry, biology, medicine, economics, and mathematics.

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