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Optimality Conditions: Abnormal and Degenerate Problems Mathematics and Its Applications Managing Editor: M. HAZEWINKEL Centre for Mathematics and Computer Science, Amsterdam, The Netherlands Volume 526 Optimality Conditions: Abnormal and Degenerate Problems by Aram V. Arutyunov Peoples' Friendship University, Moscow, Russia and Moscow State University, Department of Computational Mathematics and Cybernetics, Moscow, Vorb 'ery Gory, Russia Springer-Science+Business Media, B.V. A c.I.P. Catalogue record for this book is available from the Library of Congress. ISBN 978-90-481-5596-5 ISBN 978-94-015-9438-7 (eBook) DOI 10.1007/978-94-015-9438-7 This is a completely revised and updated version of "Extremum conditions: Abnormal and degenerate problems". Published by Factorial in 1997, Moscow. Translated by S.A. Vakhrameev. Printed on acid-free paper All Rights Reserved © 2000 Springer Science+Business Media Dordrecht Originally published by Kluwer Academic Publishers in 2000. Softcover reprint of the hardcover 1s t edition 2000 No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without written permission from the copyright owner. Contents PREFACE vii 1 EXTREMAL PROBLEMS WITH CONSTRAINTS 1 1.1 Extremal Problems with Constraints. Normal and Abnormal Points . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Elementary Statements (Finite-Dimensional Case) .. 8 1.3 Certain Notation and Concepts . . . . . . . . . . . . . 11 1.4 Statement of the First- and Second-Order Conditions. 15 1.5 Lower Estimates for Upper Topological Limits of Sequences of Subspaces ............. 22 1.6 Proof of Theorems 4.1, 4.2, and 4.3 . 23 1.7 Proof of Theorem 5.1 . . . . . . . . . 31 1.8 Sufficient Second-Order Conditions . 36 1.9 Interconnection of Necessary and Sufficient Second-Order Conditions. 2-Normal Mappings. . 41 1.10 Properties of 2-Normal Mappings. . . 44 1.11 Lagrange-Avakov Function and Necessary Extremality Conditions 53 1.12 Theorem on the Tangent Cone. Tuples 60 1.13 Proof of Theorem 11.1 . . . . . . . . . 69 1.14 Higher-Order Necessary Conditions. . 71 1.15 Sufficient Conditions for Abnormal Problems. Higher-Order Sufficient Conditions . . . . . . . 74 1.16 Proof of Theorems 15.1 and 15.2 . . . . . . . . . . . . . .. 78 2 OPTIMAL CONTROL PROBLEM. PONTRYAGIN MAXIMUM PRINCIPLE 89 2.1 Statement of the Problem . . . . . . . . . . . . . . . . . . 89 2.2 Basic Assumptions and Notation . . . . . . . . . . . . . . 92 2.3 Pontryagin Maximum Principle for the Simplest Problem 98 2.4 Statement of the Pontryagin Maximum Principle. State Constraints and the Degeneration Phenomenon. 107 2.5 Linear-Convex Problems. . . . . . . . . . . . . . . 115 2.6 Proof of the Weakened Maximum Principle for a Linear-Convex Problem Without State Constraints 123 2.7 Proof of the Maximum Principle in a Linear-Convex Problem with State Constraints . . . . . . . . . . . . . . . . . . . .. 133 2.8 Proof of the Pontryagin Maximum Principle. Finite-Dimensional Approximation Method 141 VI 2.9 Penalty Method. Necessary Conditions in the f,l-Problem .. 147 2.10 Completing the Proof of the Weakened Maximum Principle 155 2.11 v-Problem and Completing the Proof of the Maximum Principle . . . . . . . . . . . . . . . . . .. 164 2.12 A Little More About the Nondegeneracy of the Maximum Principle. . . . . . . . . . . . . . . . . . . . . . . . . . . .. 167 2.13 Relaxations and Perturbations of Optimal Control Problems 174 3 DEGENERATE QUADRATIC FORMS OF THE CALCULUS OF VARIATIONS 181 3.1 Statement of the Problem . . . . . . . . . . . . . . . . . .. 181 3.2 Constructions and the Notation. The spaces Wl B[Ol, 02J and Wn[01,02J . . . . . . . . . . . . . . . . ..' 183 3.3 Statement of the Main Results ...... 188 3.4 Discussion of the Main Results. Examples 196 3.5 Proof of Theorem 3.1 . 198 3.6 Proof of Theorem 3.2. . . . . . . . . . . . 208 3.7 Proof of Theorem 3.4. . . . . . . . . . . . 221 3.8 Necessary and Sufficient Conditions for a Local Minimum in Degenerate Problems of the Calculus of Variations. . . . .. 242 4 STUDY OF MAPPINGS IN A NEIGHBORHOOD OF AN ABNORMAL POINT 245 4.1 Implicit Function Theorem and Abnormal Points . . 245 4.2 Discussion and Auxiliary Results . . . . . . . . . . . 249 4.3 Proof of the Inverse and Implicit Function Theorems 258 4.4 On the Existence of Regular Zeros for a Quadratic Mapping 265 4.5 Level Set of a Smooth Mapping in a Neighborhood of an Abnormal Point. . . . . . . . . . . . . . . . . . . . . . . .. 268 4.6 Criterion for the Strong 2-Regularity of Quadratic Mappings 279 REFERENCES 287 INDEX 293 LIST OF NOTATION 297 PREFACE This book is devoted to one of the main questions of the theory of extremal prob lems, namely, to necessary and sufficient extremality conditions. It is intended mostly for mathematicians and also for all those who are interested in optimiza tion problems. The book may be useful for advanced students, post-graduated students, and researchers. The book consists of four chapters. In Chap. 1 we study the abstract minimization problem with constraints, which is often called the mathemati cal programming problem. Chapter 2 is devoted to one of the most important classes of extremal problems, the optimal control problem. In the third chapter we study one of the main objects of the calculus of variations, the integral quadratic form. In the concluding, fourth, chapter we study local properties of smooth nonlinear mappings in a neighborhood of an abnormal point. The problems which are studied in this book (of course, in addition to their extremal nature) are united by our main interest being in the study of the so called abnormal or degenerate problems. This is the main distinction of the present book from a large number of books devoted to theory of extremal problems, among which there are many excellent textbooks, and books such as, e.g., [13, 38, 59, 78, 82, 86, 101, 112, 119], to mention a few. What does 'abnormal' mean? We explain this by examining the following example of the problem studied in Chap. 1: f(x) -t min /Fi(X) = 0, i = 1, k, (0.1) where j and Fi are given smooth functions on the n-dimensional arithmetical = space X Rn. Let a point Xo satisfy the constraints of problem (0.1). This point is said to be normal if the gradients Fl(xo), i = 1,k, are linearly independent; otherwise it is said to be abnormal. It turns out that if the point Xo is abnormal then, for any function j, the Lagrange multiplier rule holds automatically at this point (with AO = 0); this rule yields first-order necessary extremality conditions independently of the fact whether or not Xo is a minimum point. Therefore at an abnormal point the Lagrange multiplier rule gives no additional information (degenerates), and hence, generally speaking, this rule is not instrumental in studying the extremality of abnormal points. Moreover, the classical second order necessary conditions do not hold at an abnormal point, in general. The study of abnormal extremal problems has been attracting the attention of mathematicians for a long time. For the first time the concept of an abnormal point for a constrained extremal problem was introduced by C. Caratheodory and G.A. Bliss; they also have recognized the importance and difficulty of study ing abnormal points. They did so by examining a finite-dimensional problem and the Bolza problem of the classical calculus of variations (see (78) and ref erences given there). The following words are from G.A. Bliss: " ... it seems to be not quite possible to create a complete theory in the immediate future without certain normality assumptions because of a large number of singular vii Vlll cases which has appeared" [78], p. 2231. Recently, the interest in abnormal problems was again stimulated. This is owed to the study of geodesics on sub-Riemannian manifolds. After several unsuccessfully attempts it became clear that a geodesic on sub-Riemannian manifolds can be abnormal, and this is not a pathology; after that an active study of abnormal geodesics was started (see, e.g., [11, 12, 71, 109, 110, 117]). The shortest geodesics are solutions of nonholonomic variational problems. "The problems of such a type arise in a natural way in various fields of math ematics, mechanics, and physics in those cases where the Riemannian structure degenerates in one sense or another. In general relativity theory light propagates along geodesics of a certain Riemannian structure in accordance with Fermat's principle. In the case where this structure 'blows up' to a certain distribution (i.e., motion in a direction which is orthogonal to this distribution is retarded), it is natural to consider the 'limit structure'. Under certain additional assump tions this limit structure turns out to be Riemannian. In differential geometry the works by M. Gromov and his students are devoted to various blow-up phe nomena of Riemannian structure". (See [71], p. 788.) Chapter 1 is devoted to the study of extremality conditions without a priori assumptions of normality. In this chapter, on the basis of perturbation method and the elaborated auxiliary technique for problem (0.1) (along with equality type of constraints, it also contains inequality type of constraints), we obtain new necessary extremality conditions of the first, second, and higher orders. These results are also substantive at abnormal points, and, at normal points they transforms into the known ones. We study the 'gap' between the obtained necesssary and sufficient local minimum condition. We isolate a class of con straints (the mappings defining these constraints are called 2-normal mappings) for which the mentioned 'gap' is the minimally possible one, and it is proved that this class is generic. These results are also generalized to the case where X is an infinite-dimensional vector space. However, we note (and this is a princi pal point) that all results indicated above are new and substantive in the case X = Rn, and their generalization to the infinite-dimensional case is carried out in a sufficiently standard way. Also, we note that in the first chapter we suggest two different approaches to the study of extremal problems; Secs. 2-10 and 11-16, respectively, are devoted to these approaches. In Chap. 2 we study the optimal control problem with endpoint, mixed, and state constraints. Using the elaborated finite-dimensional approximati on methods, under very general smoothness assumptions we prove the maxi mum principle for it. Also, for linear-in-control problems we describe a simple method for proving the Pontryagin maximum principle, which is based on the perturbation method. In various optimal control problems we again encounter the degeneration phenomenon; namely, under state constraints, in many interesting (in particular, from the point of view of applications) problems, the versions of the maximum principle which were known earlier are automatically degenerating, i.e., any ITranslated into English from the Russian translation of [78]. ix admissible control satisfies them, and this makes these versions inapplicable for the study. In Chap. 2 we pay special attention to the study of this phenomenon and to obtaining a nondegenerate version of the maximum principle. In Chap. 3 we study the positive semi-definitness of the quadratic form = U(x) fOl(A(t);i;(t),;i;(t)) +(B(t)x(t),x(t)) +2(C(t);i;(t), x(t)) dt +(0 (x(O), x(l)) , (x(O), x(l))) . Moreover, principal attention is paid to the case where the strengthened Legen dre condition is violated at certain points t, i.e., the matrix A(t) is not positive definite. Such forms are said to be degenerate. It is known that the classical Jacobi theory of conjugate points is not applicable for degenerate forms. In Chap. 3 we present necessary and sufficient conditions for definitness of de generate quadratic forms and also obtain a general formula for computing their index. Although the fourth chapter is not directly devoted to the theory of extremal problems, it is, however, directly related to this theory, especially to the theory developed in the first chapter. The first four sections of Chap. 4 are devoted to the implicit and inverse function theorems at abnormal points. Using the neces sary extremality conditions proved in Chap. 1 we obtain sufficient conditions for solvability of nonlinear equations, which lead to the implicit function theorem. We note that under the normality assumption these results transform into the classical implicit function theorem, and are new at an abnormal point even for the finite-dimensional case. Moreover, in the fourth section it is proved that in a neighborhood of an abnormal point the set of zeros of a nonlinear 2-regular mapping is locally diffeomorphic to the set of zeros of its second differential. Also we present the criterion for the strong 2-regularity of a quadratic mapping. The general theory of abnormal and degenerate problems is still very far from being complete, and the present book is the first attempt at elaborating the methods for studying abnormal problems (we also note that the books [58, 67] which have appeared in Russia recently contain certain results related to abnormal problems; in [58] the creation of numerical methods is initiated). Our book contains mainly new results and also results that were only published in journals. In many respects my own vision of abnormal problems has been formed in many discussions with Professors E.R. Avakov and A.A. Agrachev, and I am very gratefull to them. I express my gratitude to Professor V.M. Tikhomirov whose views have played a very important role in the formation of my point of view on extremal problems in general. Also, I express my gratitude to Professors A.A. Agrachev, F.P. Vasil'ev, A.F. Izmailov, N.M. Novikova, M.F. Sukhinin, and A.A. Shananin who have read separate parts of the manuscripts, and made a number of important remarks which have improved the presentation. In par ticular, it was F.P. Vasil'ev, who advised me to write Sec. 2 of Chap. 1. I x express my gratitude to Professors R.V. Gamkrelidze, H.J. Jongen. and A.B. Zhishchenko for support. I thank my wife Natalya Chernikova for her help and her constant support; without them this book would not have been written. I would like here to say a few words about my teacher, Professor N.T. Tynyanskii, who died at the peak of his creative powers. The English edition of the book that is proffered to the reader is essentially different from the Russian edition which appeared in 1997 2. Namely, Chap. 4 is new (only its last section appeared in the Appendix of the Russian edition). In the first chapter I have made certain proofs more detailed and have added new results and examples which are intended to provide better understanding. The scheme of the proofs in Chap. 2 is slightly changed and, moreover, its last section is new. The bibliography has been completed, and there are other less significant distinctions. Moreover, some misprints and gaps of the Russian editions have been removed. Some of them were pointed to me by my students, D.Yu. Karamzin and V. Jachimovic, and I express my gratitude to them. Also, I express my gratitude to Professor S. A. Vakhrameev who has kindly agreed to translate this book into English. His careful translation and editing of the book have improved the presentation. A.V. Arutyunov 2 A.V. Arutyunov, Extremality Conditions. Abnormal and Degenerate Problems, (Usloviya extremuma. Anormal'nye i vyrozhdennye zadachiJ, Faktorial, Moscow (1997).

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This book is devoted to one of the main questions of the theory of extremal prob­ lems, namely, to necessary and sufficient extremality conditions. It is intended mostly for mathematicians and also for all those who are interested in optimiza­ tion problems. The book may be useful for advanced stu
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