A Pseudoconvex Domain? R

Total Page:16

File Type:pdf, Size:1020Kb

A Pseudoconvex Domain? R WHATIS... ? a Pseudoconvex Domain? R. Michael Range Pseudoconvexity is a most central concept in mod- on D, but surely it has no holomorphic extension ern complex analysis. However, if your training to any neighborhood of P.2 in that area is limited to functions of just one Hartogs’s example is so amazing and histori- complex variable, you probably have never heard cally significant, and yet completely elementary, of it, since every open subset of the complex that it deserves to be presented in any ex- plane C is pseudoconvex. Pseudoconvexity or, bet- position of the subject. Consider the domain H ⊂ C2 = {(z, w) : z, w ∈ C} defined by ter, nonpseudoconvexity, is a higher-dimensional phenomenon. Incidentally, this is true also for H = {(z, w) : |z| < 1, 1/2 < |w| < 1} Euclidean convexity: every open connected subset ∪ {|z| < 1/2, |w| < 1}. of R is convex. Life is definitely more interesting Let f : H → C be holomorphic and fix r with in higher dimensions! 1/2 < r < 1. The function Pseudoconvexity is so central because it relates 1 f (z, ζ) dζ to the very core of holomorphic (i.e., complex an- F(z, w) = 2πi Z = ζ − w alytic) functions, which is intimately intertwined |ζ| r with power series, the identity theorem, and an- is easily seen to be holomorphic on G = {(z, w) : alytic continuation. This concept has its roots in |z| < 1, |w| < r}. Observe that for fixed z0 with | | → Friedrich Hartogs’s surprising discovery in 1906 z0 < 1/2 the function w f (z0, w) is holo- morphic on the disc {|w| < 1}, and hence, by of a simple domain H in C2 with the property that the Cauchy integral formula, f (z , w) = F(z , w) every function that is holomorphic1 on H has a 0 0 for |w| < r. Thus f ≡ F on {(z, w) : |z| < 1/2, holomorphic extension to a strictly larger open set |w| < r}, which implies f ≡ F on H ∩G by the iden- H. In dimension one there is no such thing! In fact, tity theorem, so that F provides the holomorphic ⊂ C ifb P is a boundary point of a domain D , the extension of f from H to H = H ∪ G. function fP (z) = 1/(z − P) is clearly holomorphic Hartogs’s discovery immediately raises the b fundamental problem of characterizing those domains D ⊂ Cn for which holomorphic exten- R. Michael Range is professor of mathematics at the State sion of all holomorphic functions on D does NOT University of New York at Albany. His email address is hold. Such domains are called domains of holo- [email protected]. morphy. More precisely, according to this point DOI: http://dx.doi.org/10.1090/noti798 of view, D is a domain of holomorphy, if for 1Holomorphic functions in several complex variables are each boundary point P ∈ bD there exists a func- n those continuous functions on an open set D ⊂ C which tion fP holomorphic on D which does not extend are holomorphic in each variable separately. Iteration of the Cauchy integral formula for discs readily implies 2This sort of simple construction does not extend to more that such functions are then C∞ in all underlying real than one variable, as the zeroes and singularities of holo- variables and have local power series expansions in the morphic functions are not isolated in the case of two or complex variables. more variables. The reader may find more details in [3]. February 2012 Notices of the AMS 301 holomorphically to any neighborhood of P.3 As Note that if D ⊂ C, the restriction on t is mentioned earlier, every domain in the complex satisfied only for t = 0, so the conditions in A) and plane is trivially a domain of holomorphy, and B) trivially hold in this case. this easily implies that every product domain Levi’s results made it clear that the “complex D = D1 × D2 × · · · × Dn with Dj ⊂ C, j = 1, . , n, Hessian” LP (r; t)—now universally called the Levi is also a domain of holomorphy. Furthermore, it form—plays a fundamental role in the charac- is elementary to show that every Euclidean convex terization of domains of holomorphy. The term domain D ⊂ Cn is a domain of holomorphy. Har- “pseudoconvex” was introduced in this context in togs, of course, produced the first example of a the influential 1934 “Ergebnisbericht” of H. Behnke domain which is NOT a domain of holomorphy. and P. Thullen, which summarized the status and The reader may consult [2] for other surprising principalopenquestions inmultidimensionalcom- consequences of Hartogs’s discovery. plex analysis at that time. To distinguish Levi’s The essenceof pseudoconvexity is now captured differential conditions from other formulations of by the following statement. pseudoconvexity, one refers to the condition in Pseudoconvexity is that local analytic/geo- A) as Levi pseudoconvexity. If the stronger version metric property of the boundary of a domain D in B) holds, one says that D is strictly or strongly in Cn which characterizes domains of holomor- pseudoconvex at P. phy. By Levi’s result, if D is strictly pseudoconvex at Note that it is not at all clear that the global every boundary point, then D is locally a domain property of being a domain of holomorphy should of holomorphy. The emphasis on “locally” is criti- allow a purely local characterization, i.e., some- cal. Levi himself recognized that his result was far thing that can be recognized by just looking near from yielding the wished-for corresponding global each boundary point. In fact, the validation of this version. For many years it remained a central open statement was the culmination of major efforts problem—known as the Levi problem—to show over a period of more than forty years. that a strictly pseudoconvex domain is indeed Just a few years after Hartogs’s discovery, a domain of holomorphy. Solutions were finally E. E. Levi studied domains of holomorphy with obtained in the early 1950s by K. Oka, H. Bre- differentiable boundaries. He found the following mermann, and F. Norguet, thereby vindicating the simple differential condition, which is remarkably central role of pseudoconvexity. similar to the familiar differential characterization The extension to arbitrary domains requires an of Euclidean convexity. We assume that D ∩ U = appropriate definition of pseudoconvexity. Many {z ∈ U : r(z) < 0}, where r is a C2 real-valued equivalent versions have been introduced over the function with dr ≠ 0 on a neighborhood U of years. Perhaps most elegant is a formulation that P ∈ bD. involves the notion of plurisubharmonic function introduced by Oka and P. Lelong in the 1940s.5 Theorem (Levi, 1910/11). A) If there exists a holo- Suffice it to say that a C2 function r on D is morphic function on D ∩ U which does not extend plurisubharmonic precisely when its Levi form holomorphically to P (in particular, if D is a domain satisfies L (r; t) ≥ 0 for all t ∈ Cn and z ∈ D of holomorphy), then z and that general plurisubharmonic functions can 2 n ∂2r be well approximated from above by C or even n ∞ LP (r; t) = (P) tj tk ≥ 0 for all t ∈ C C plurisubharmonic functions. Let us denote by ∂z ∂z j,kX=1 j k dist(z, bD) the Euclidean distance from z to bD. n ∂r Definition. A domain D ⊂ Cn is said to be with (P) tj = 0. jX=1 ∂zj pseudoconvex (or Hartogs pseudoconvex) if the function ϕ(z) = − log dist(z, bD) is plurisubhar- B) If LP (r; t) > 0 for all t ≠ 0 which satisfy n ∂r monic on D. (P) tj = 0, then the neighborhood U can be j=1 ∂zj chosenP so that U ∩ D is a domain of holomorphy.4 Note that ϕ is a continuous function which tends to ∞ as z → bD. One verifies that convex 3This definition is formally weaker than the one com- domains are pseudoconvex and that a domain with 2 monly found in the literature; namely, a domain of holo- C boundary is pseudoconvex according to this morphy is a domain on which there exists a single holo- definition if and only if it is Levi pseudoconvex. morphic function which cannot be extended holomorphi- Also, any pseudoconvex domain is the increasing cally to any of its boundary points. However, by a 1932 fundamental theorem of H. Cartan and P. Thullen, the 5Subharmonic functions were first introduced in one two notions are in fact equivalent. complex variable by F. Hartogs in 1906. That concept 4 With zj = xj + i yj , j = 1, . , n, the complex par- was generalized in the obvious way to n real variables in tial differential operators ∂/∂zj are defined by ∂/∂zj = the 1920s. In contrast, plurisubharmonic functions are (1/2)(∂/∂xj − i ∂/∂yj ); an analogous definition holds for those functions of n complex variables which are sub- their conjugates ∂/∂zj . harmonic on each complex line where defined. 302 Notices of the AMS Volume 59, Number 2 union of strictly (Levi) pseudoconvex domains strict convexity. Unfortunately, this neat charac- with C∞ boundaries. Incidentally, it is known that terization breaks down already in the case of a domain D is (Euclidean) convex if and only if simple pseudoconvex domains of finite type, as − log dist(z, bD) is a convex function. shown by an example discovered by J. J. Kohn The general version of the solution of Levi’s and L. Nirenberg in 1972. However, if one drops problem is then stated as: all regularity conditions of the coordinates on the A domain in Cn is a domain of holomorphy if boundary, one is left with the following tantalizing 6 and only if it is pseudoconvex.
Recommended publications
  • New Hermite–Hadamard and Jensen Inequalities for Log-H-Convex
    International Journal of Computational Intelligence Systems (2021) 14:155 https://doi.org/10.1007/s44196-021-00004-1 RESEARCH ARTICLE New Hermite–Hadamard and Jensen Inequalities for Log‑h‑Convex Fuzzy‑Interval‑Valued Functions Muhammad Bilal Khan1 · Lazim Abdullah2 · Muhammad Aslam Noor1 · Khalida Inayat Noor1 Received: 9 December 2020 / Accepted: 23 July 2021 © The Author(s) 2021 Abstract In the preset study, we introduce the new class of convex fuzzy-interval-valued functions which is called log-h-convex fuzzy-interval-valued functions (log-h-convex FIVFs) by means of fuzzy order relation. We have also investigated some properties of log-h-convex FIVFs. Using this class, we present Jensen and Hermite–Hadamard inequalities (HH-inequalities). Moreover, some useful examples are presented to verify HH-inequalities for log-h-convex FIVFs. Several new and known special results are also discussed which can be viewed as an application of this concept. Keywords Fuzzy-interval-valued functions · Log-h-convex · Hermite–Hadamard inequality · Hemite–Hadamard–Fejér inequality · Jensen’s inequality 1 Introduction was independently introduced by Hadamard, see [24, 25, 31]. It can be expressed in the following way: The theory of convexity in pure and applied sciences has Let Ψ∶K → ℝ be a convex function on a convex set K become a rich source of inspiration. In several branches of and , ∈ K with ≤ . Then, mathematical and engineering sciences, this theory had not only inspired new and profound results, but also ofers a + 1 Ψ ≤ Ψ()d coherent and general basis for studying a wide range of prob- 2 − � lems. Many new notions of convexity have been developed Ψ()+Ψ() and investigated for convex functions and convex sets.
    [Show full text]
  • CORE View Metadata, Citation and Similar Papers at Core.Ac.Uk
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Bulgarian Digital Mathematics Library at IMI-BAS Serdica Math. J. 27 (2001), 203-218 FIRST ORDER CHARACTERIZATIONS OF PSEUDOCONVEX FUNCTIONS Vsevolod Ivanov Ivanov Communicated by A. L. Dontchev Abstract. First order characterizations of pseudoconvex functions are investigated in terms of generalized directional derivatives. A connection with the invexity is analysed. Well-known first order characterizations of the solution sets of pseudolinear programs are generalized to the case of pseudoconvex programs. The concepts of pseudoconvexity and invexity do not depend on a single definition of the generalized directional derivative. 1. Introduction. Three characterizations of pseudoconvex functions are considered in this paper. The first is new. It is well-known that each pseudo- convex function is invex. Then the following question arises: what is the type of 2000 Mathematics Subject Classification: 26B25, 90C26, 26E15. Key words: Generalized convexity, nonsmooth function, generalized directional derivative, pseudoconvex function, quasiconvex function, invex function, nonsmooth optimization, solution sets, pseudomonotone generalized directional derivative. 204 Vsevolod Ivanov Ivanov the function η from the definition of invexity, when the invex function is pseudo- convex. This question is considered in Section 3, and a first order necessary and sufficient condition for pseudoconvexity of a function is given there. It is shown that the class of strongly pseudoconvex functions, considered by Weir [25], coin- cides with pseudoconvex ones. The main result of Section 3 is applied to characterize the solution set of a nonlinear programming problem in Section 4. The base results of Jeyakumar and Yang in the paper [13] are generalized there to the case, when the function is pseudoconvex.
    [Show full text]
  • First Order Characterizations of Pseudoconvex Functions
    Serdica Math. J. 27 (2001), 203-218 FIRST ORDER CHARACTERIZATIONS OF PSEUDOCONVEX FUNCTIONS Vsevolod Ivanov Ivanov Communicated by A. L. Dontchev Abstract. First order characterizations of pseudoconvex functions are investigated in terms of generalized directional derivatives. A connection with the invexity is analysed. Well-known first order characterizations of the solution sets of pseudolinear programs are generalized to the case of pseudoconvex programs. The concepts of pseudoconvexity and invexity do not depend on a single definition of the generalized directional derivative. 1. Introduction. Three characterizations of pseudoconvex functions are considered in this paper. The first is new. It is well-known that each pseudo- convex function is invex. Then the following question arises: what is the type of 2000 Mathematics Subject Classification: 26B25, 90C26, 26E15. Key words: Generalized convexity, nonsmooth function, generalized directional derivative, pseudoconvex function, quasiconvex function, invex function, nonsmooth optimization, solution sets, pseudomonotone generalized directional derivative. 204 Vsevolod Ivanov Ivanov the function η from the definition of invexity, when the invex function is pseudo- convex. This question is considered in Section 3, and a first order necessary and sufficient condition for pseudoconvexity of a function is given there. It is shown that the class of strongly pseudoconvex functions, considered by Weir [25], coin- cides with pseudoconvex ones. The main result of Section 3 is applied to characterize the solution set of a nonlinear programming problem in Section 4. The base results of Jeyakumar and Yang in the paper [13] are generalized there to the case, when the function is pseudoconvex. The second and third characterizations are considered in Sections 5, 6.
    [Show full text]
  • Characterizations of Quasiconvex Functions and Pseudomonotonicity of Subdifferentials
    J. Appl. Environ. Biol. Sci. , 5(6)358-364, 2015 ISSN: 2090-4274 Journal of Applied Environmental © 2015, TextRoad Publication and Biological Sciences www.textroad.com Characterizations of Quasiconvex Functions and Pseudomonotonicity of Subdifferentials Somayeh Yazdani Department of Mathematics, Faculty of Basic Sciences, Nour Branch, Islamic Azad University, Nour, Iran. Received: January 6, 2015 Accepted: March 10, 2015 ABSTRACT In this paper we introduce the concepts of quasimonotone maps and pseudoconvex functions. Moreover, a notion of pseudomonotonicity for multi mappings is introduced; it is shown that, if a function f is continuous, then its pseudoconvexity is equivalent to the pseudomonotonicity of its generalized subdifferential in the sense of Clarke and Rockafellar and prove that a lower semicontinuous function on an infinite dimensional space is quasiconvex if and only if its generalized subdifferential is quasimonotone. KEYWORDS: Quasiconvex functions, pseudoconvex functions, quasimonotone maps, pseudo monotone maps, generalized subdifferentials. I. INTRODUCTION As far as we know quasiconvex functions were first mentioned by Finetti in 1949,[ Finetti,1949]. Since then much effort has been focused on the study of this class of functions for they have much in common with convex functions. One of the most important properties of convex functions is that their level sets are convex . Mapping of the monograph theory in the beginning of methods were obtained in spaces with more banach efforts and evaluation background lightness for the relationship between monograhy on a map and the linkage of premise was created. This study was performed to uniform of non-linear mappings and differential relations and was paid uniformity. The purpose of this paper is to declare these powerful tools and new applications of it in a function in the analysis of the last few decades.
    [Show full text]
  • Characterizing Strong Pseudoconvexity, Obstructions to Biholomorphisms, and Lyapunov Exponents
    Mathematische Annalen (2019) 374:1811–1844 https://doi.org/10.1007/s00208-018-1715-7 Mathematische Annalen Characterizing strong pseudoconvexity, obstructions to biholomorphisms, and Lyapunov exponents Andrew Zimmer1 Received: 23 March 2017 / Revised: 21 February 2018 / Published online: 27 June 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract In this paper we consider the following question: For bounded domains with smooth boundary, can strong pseudoconvexity be characterized in terms of the intrinsic com- plex geometry of the domain? Our approach to answering this question is based on understanding the dynamical behavior of real geodesics in the Kobayashi metric and allows us to prove a number of results for domains with low regularity. For instance, we show that for convex domains with C2, boundary strong pseudoconvexity can be characterized in terms of the behavior of the squeezing function near the boundary, the behavior of the holomorphic sectional curvature of the Bergman metric near the boundary, or any other reasonable measure of the complex geometry near the bound- ary. The first characterization gives a partial answer to a question of Fornæss and Wold. As an application of these characterizations, we show that a convex domain with C2, boundary which is biholomorphic to a strongly pseudoconvex domain is also strongly pseudoconvex. 1 Introduction A domain in Cd with C2 boundary is called strongly pseudoconvex if the Levi form of the boundary is positive definite. The Levi form is extrinsic and in this paper we study the following question: Question 1 For domains with C2 boundary, can strong pseudoconvexity be character- ized in terms of the intrinsic complex geometry of the domain? Although strongly pseudoconvex domains form one of the most important classes of domains in several complex variables, it does not appear that Question 1 has been Communicated by Ngaiming Mok.
    [Show full text]
  • On the Subdifferentials of Quasiconvex and Pseudoconvex Functions and Cyclic Monotonicity*
    Journal of Mathematical Analysis and Applications 237, 30᎐42Ž. 1999 Article ID jmaa.1999.6437, available online at http:rrwww.idealibrary.com on On the Subdifferentials of Quasiconvex and Pseudoconvex Functions and Cyclic Monotonicity* ² ³ View metadata, citation and similarAris papers Daniilidis at core.ac.ukand Nicolas Hadjisavvas brought to you by CORE provided by Elsevier - Publisher Connector Department of Mathematics, Uni¨ersity of the Aegean, 83200 Karlo¨assi, Samos, Greece Submitted by Arrigo Cellina Received January 7, 1998 The notions of cyclic quasimonotonicity and cyclic pseudomonotonicity are introduced. A classical result of convex analysis concerning the cyclic monotonicity of theŽ. Fenchel᎐Moreau subdifferential of a convex function is extended to corresponding results for the Clarke᎐Rockafellar subdifferential of quasiconvex and pseudoconvex functions. The notion of proper quasimonotonicity is also introduced. It is shown that this new notion retains the characteristic property of quasimonotonicityŽ i.e., a lower semicontinuous function is quasiconvex if and only if its Clarke᎐Rockafellar subdifferential is properly quasimonotone. , while it is also related to the KKM property of multivalued maps; this makes it more useful in applications to varia- tional inequalities. ᮊ 1999 Academic Press 1. INTRODUCTION Let X be a Banach space and f: X ª R jqÄ4ϱ a lower semicontinu- ousŽ. lsc function. According to a relatively recent result of Correa, Joffre, and ThibaultŽ seewx 7 for reflexive and wx 8 for arbitrary Banach spaces. , the function f is convex if and only if its Clarke᎐Rockafellar subdifferential Ѩ f is monotone. In the same line of research, much work has been done to characterize the generalized convexity of lsc functions by a corresponding generalized monotonicity of the subdifferential.
    [Show full text]
  • Second-Order Characterizations of Quasiconvexity and Pseudoconvexity for Differentiable Functions with Lipschitzian Derivatives
    Optimization Letters https://doi.org/10.1007/s11590-020-01563-6 ORIGINAL PAPER Second-order characterizations of quasiconvexity and pseudoconvexity for differentiable functions with Lipschitzian derivatives Pham Duy Khanh1,2 · Vo Thanh Phat3,4 Received: 23 February 2019 / Accepted: 25 February 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract For a C2-smooth function on a finite-dimensional space, a necessary condition for its quasiconvexity is the positive semidefiniteness of its Hessian matrix on the subspace orthogonal to its gradient, whereas a sufficient condition for its strict pseudoconvexity is the positive definiteness of its Hessian matrix on the subspace orthogonal to its gradient. Our aim in this paper is to extend those conditions for C1,1-smooth functions by using the Fréchet and Mordukhovich second-order subdifferentials. Keywords Second-order subdifferential · Mean value theorem · C1,1-smooth function · Quasiconvexity · Pseudoconvexity 1 Introduction Since the notion of convexity does not satisfy a variety of mathematical models used in sciences, economics, and engineering, various generalizations of convex functions have been introduced in literature [7,11,18] such as (strictly) quasiconvex and (strictly) pseudoconvex functions. Those functions share many nice properties of convex func- tions and cover some models which are effective and adaptable to real-world situations. To be more specific, the quasiconvexity of a function ensures the convexity of its sub- level sets, and the pseudoconvexity implies that its critical points are minimizers. B Pham Duy Khanh [email protected]; [email protected] Vo Thanh Phat [email protected]; [email protected] 1 Department of Mathematics, HCMC University of Education, Ho Chi Minh, Vietnam 2 Center for Mathematical Modeling, Universidad de Chile, Santiago, Chile 3 Department of Mathematics, HCMC University of Education, Ho Chi Minh, Vietnam 4 Wayne State University, Detroit, MI, USA 123 P.
    [Show full text]
  • Optimality for Set-Valued Optimization in the Sense of Vector and Set Criteria Xiangyu Kong, Guolin Yu* and Wei Liu
    Kong et al. Journal of Inequalities and Applications (2017)2017:47 DOI 10.1186/s13660-017-1319-x R E S E A R C H Open Access Optimality for set-valued optimization in the sense of vector and set criteria Xiangyu Kong, GuoLin Yu* and Wei Liu *Correspondence: [email protected] Abstract Institute of Applied Mathematics, Beifang University of Nationalities, The vector criterion and set criterion are two defining approaches of solutions for the Yinchuan, Ningxia 750021, P.R. China set-valued optimization problems. In this paper, the optimality conditions of both criteria of solutions are established for the set-valued optimization problems. By using Studniarski derivatives, the necessary and sufficient optimality conditions are derived in the sense of vector and set optimization. MSC: Primary 90C29; 90C46; secondary 26B25 Keywords: vector optimization; set optimization; optimality conditions; pseudoconvexity; Studniarski derivative 1 Introduction Let F be a set-valued mapping from a set S to a real normed linear space Y and let D ⊂ Y be a convex cone. The set-valued optimization problem is formalized as follows: ⎧ ⎨ minimize F(x) (P) ⎩ subject to x ∈ S. It is generally known that there are two types of criteria of solutions for problem (P): the vector criteria and set criteria. The vector criterion is the most commonly used in prob- lem (P), which is looking for efficient elements of the set F(S)= x∈S F(x). The problem (P) with vector criterion is often defined as set-valued vector optimization. Over the past decades, the set-valued vector optimization theory and its applications have been inves- tigated extensively by many authors.
    [Show full text]
  • 2011-Dissertation-Khajavirad.Pdf
    Carnegie Mellon University Carnegie Institute of Technology thesis Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy title Convexification Techniques for Global Optimization of Nonconvex Nonlinear Optimization Problems presented by Aida Khajavirad accepted by the department of mechanical engineering advisor date advisor date department head date approved by the college coucil dean date Convexification Techniques for Global Optimization of Nonconvex Nonlinear Optimization Problems Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mechanical Engineering Aida Khajavirad B.S., Mechanical Engineering, University of Tehran Carnegie Mellon University Pittsburgh, PA August 2011 c 2011 - Aida Khajavirad All rights reserved. Abstract Fueled by applications across science and engineering, general-purpose deter- ministic global optimization algorithms have been developed for nonconvex nonlinear optimization problems over the past two decades. Central to the ef- ficiency of such methods is their ability to construct sharp convex relaxations. Current general-purpose global solvers rely on factorable programming tech- niques to iteratively decompose nonconvex factorable functions, through the introduction of variables and constraints for intermediate functional expres- sions, until each intermediate expression can be outer-approximated by a con- vex feasible set. While it is easy to automate, this factorable programming technique often leads to weak relaxations. In this thesis, we develop the theory of several new classes of cutting planes based upon ideas from generalized convexity and convex analysis. Namely, we (i) introduce a new method to outer-approximate convex-transformable func- tions, an important class of generalized convex functions that subsumes many functional forms that frequently appear in nonconvex problems and, (ii) derive closed-form expressions for the convex envelopes of various types of functions that are the building blocks of nonconvex problems.
    [Show full text]
  • Pseudoconvexity and the Envelope of Holomorphy for Functions of Several Complex Variables
    PSEUDOCONVEXITY AND THE ENVELOPE OF HOLOMORPHY FOR FUNCTIONS OF SEVERAL COMPLEX VARIABLES by LORNE BARRY MULLETT B.Sc, University of British Columbia, 1964 A THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ARTS in the Department of MATHEMATICS ^ We accept this thesis as conforming to the required standard THE UNIVERSITY OF BRITISH COLUMBIA August, 1966 In presenting this thesis in partial fulfilment of the requirements for an advanced degree at the University of British Columbia, I agree that the Library shall make it freely available for reference and study. 1 further agree that permission, for extensive copying of this thesis for scholarly purposes may be granted by the Head of my Depa-rtment or by his representatives. It is understood that copying or publication of this thesis for financial gain shall not be allowed •without my written permission. Department of MATHEMATICS The University of British Columbia Vancouver 8, Canada Date October 17th, 1966 ii ABSTRACT We first handle some generalizations from the theory of functions of a single complex variable, including results regarding analytic continuation. Several "theorems of continuity" are considered, along with the associated definitions of pseudoconvexity, and these are shown to be equivalent up to a special kind of trans• formation. By successively applying a form of analytic contin• uation to a function f , a set of pseudoconvex domains is constructed, and the union of these domains is shown to be the envelope of holomorphy of f . iii TABLE OF CONTENTS Page I. Introduction 1 II. Pseudoconvexity and the Envelope of Holomorphy 7 IIT.
    [Show full text]
  • On Pseudoconvex Functions and Applications to Global Optimization
    ESAIM: PROCEEDINGS, October 2007, Vol.20, 138-148 Mohammed-Najib Benbourhim, Patrick Chenin, Abdelhak Hassouni & Jean-Baptiste Hiriart-Urruty, Editors ON PSEUDOCONVEX FUNCTIONS AND APPLICATIONS TO GLOBAL OPTIMIZATION A. HASSOUNI1 and A. JADDAR1 Abstract. In this paper, we characterize pseudoconvex functions using an abstract subdi®erential. As applications, we also characterize maxima of pseudoconvex functions, and we study some fractional and quadratic optimization problems. R¶esum¶e. Nous caract¶erisonsdes fonctions pseudoconvexes en utilisant un sous di®¶erentiel abstrait. Comme applications, nous caract¶erisons¶egalement des maximums des fonctions pseudoconvexes , et nous ¶etudionsquelques probl`emesd'optimisation fractionnaires et quadratiques . 1. Introduction The pseudoconvexity notion that has been introduced ¯rst by Mangasarian in [17] has many applications in programming and mathematical economy. We will generalize some results of [4, 18, 19], where the authors have characterized a pseudoconvex function supposed to be radially continuous or radially non-constant. After recalling some preliminary results in section 2, we give in section 3 some results extending those of [1,2,4,8,19] for classes of functions that are less regular and where the assumptions of radial continuity and radial non- constancy are not always used. In section 4, we characterize maxima of pseudoconvex functions on convex sets. In section 5, we illustrate the theoretical results with two particular examples: a fractional and a quadratic problems. 2. Some preliminary notions and results In the sequel, by X we mean a Banach space and X¤ its dual for the duality pairing h :;: i. For x 2 X and " > 0, we denote by B"(x) the \open" ball of center x and radius ".
    [Show full text]
  • The 7Thinternational Symposium on Generalized Convexity/Monotonicity
    The 7th International Symposium on Generalized Convexity/Monotonicity August 27-31, 2002 Hanoi, Vietnam Hanoi Institute of Mathematics The 7th International Symposium on Generalized Convexity/Monotonicity 3 Contents 1. Topics ....................................................................4 2. Organizers ................................................................5 3. Committees ...............................................................6 4. Sponsors ..................................................................8 5. List of Contributions .....................................................9 6. Abstracts.................................................................15 7. List of Participants ......................................................61 8. Index ....................................................................76 4 The 7th International Symposium on Generalized Convexity/Monotonicity Topics The symposium is aimed at bringing together researchers from all continents to report their latest results and to exchange new ideas in the field of generalized convexity and generalized monotonicity and their applications in optimization, control, stochastic, economics, management science, finance, engineering and re- lated topics. The 7th International Symposium on Generalized Convexity/Monotonicity 5 Organizers • International Working Group on Generalized Convexity (WGGC) • Institute of Mathematics, Vietnam NCST Location The conference takes place at the Institute of Mathematics National Centre for Natural Sciences
    [Show full text]