0 < f(y) - fix) - (x*, y - x) < e\\y - x\\

Size: px
Start display at page:

Download "0 < f(y) - fix) - (x*, y - x) < e\\y - x\\"

Transcription

1 proceedings of the american mathematical society Volume 121, Number 4, August 1994 A NOTE ON THE DIFFERENTIABILITY OF CONVEX FUNCTIONS WU CONGXIN AND CHENG LIXIN (Communicated by Palle E. T. Jorgensen) Abstract. Every real-valued convex and locally Lipschitzian function / defined on a nonempty closed convex set D of a Banach space E is the local restriction of a convex Lipschitzian function defined on E. Moreover, if E is separable and int D ± 0, then, for each Gateaux differentiability point x (6 int/j) of f, there is a closed convex set C C intd with the nonsupport points set N(C) ^ 0 and with x e N(C) such that fc (the restriction of / on C) is Fréchet differentiable at x. Rainwater [1] and Verona [2] recently generalized Asplund's theorems [5] in the following manner Theorem [Rainwater]. Suppose that E is an Asplund space (a Banach space of class (S)). Then, for every closed convex subset C of E such that the nonsupport points set NÍC) of C is nonempty and for every convex function f on C which is locally Lipschitzian on NÍC), the set of points Q, where f is Fréchet ÍGateaux) differentiable, is a dense G subset of C. Notation. We denote by C, Cx, and N(C) a closed convex set of a Banach space E, the cone generated by C from x, and the nonsupport points set of C, respectively. The open and the closed balls centered at x and with radius r are denoted by 5(x, r) and 5(x, r), respectively. All convex functions /, if nothing is added, are assumed real valued. Definition. We say that a function denoted by / is a local extension of f at u dom(/) and that / is a local restriction of / at u provided there is a neighborhood U of u such that / = / in U n dom(/ ). Definition. We say that / is Gateaux (Fréchet) differentiable at x NÍC) provided there exists a unique x* E* such that (x\y-x)< fiy) - px) for all y G C (for all e > 0 there exists ô > 0 such that whenever y C n B(x, Ô)). 0 < f(y) - fix) - (x*, y - x) < e\\y - x\\ Received by the editors October 28, Mathematics Subject Classification. Primary 26E15, 46G American Mathematical Society /94 $1.00+ $.25 per page

2 1058 WU CONGXIN AND CHENG LIXIN Lemma 1. Suppose that f is convex and locally Lipschitzian on C. Then (a) for every u C, there exist a neighborhood U of u and a convex Lipschitzian function fu defined on E such that f = fu in U n C ; (b) dom(d/) = dom(/) = C; (c) there exists a selection y far df on C such that y/ is locally bounded on C ; in particular [1], if NÍC) # 0, then df is itself locally bounded on N(C). Recall that the extended real-valued lower semicontinuous convex function f on E is said to be proper provided fix) > -oo for all x E and its iconvex) essential domain domf = {x: fix) < +00} is nonempty. For such f, we define the inf-convolutions as fnix) = inf{fiy) + n\\x -y\\: y E}. Then we have isee, for instance, [3, 4, 6]). Lemma 2. With f and {/ } as above, the sequence {/ } has the following properties : Í1 ) Each fn is convex and Lipschitzian on E with Lipschitz constant n ; (2) f ix) < f +iix) < fix) far each x E and each n > 1 ; (3) fnix) = fix) if and only if d fix) HnB* {where B* denotes the unit ball of E*) is nonempty or, equivalently, if and only if dfn(x) = dfix) n nb*. Proof of Lemma 1. Since / is locally Lipschitzian on C, there exists B(u, r) for some r > 0 and L > 0 such that \f(y) - /C*) ^ -^11v ~ xll whenever x, y G B(u, r) n C = Bciu,r). We define the extended real-valued convex function / on E by fix) - fix) if x Bciu, r), and fix) - 00, otherwise. Hence / is proper lower semicontinuous convex and bounded below on E and Lipschitzian on 2?c(«,r) with Lipschitz constant L. Let {/ } be the sequence of the inf-convolutions by /. Now we will show (a). Suppose, to the contrary, that the neighborhood U of u does not exist. Let Bn = Bciu, 1/n). Then, for each integer n > 1, there is x Bn such that / (x ) < /(x ), by the definition of /. For each such xn, we can choose y E such that f(xn)>fiyn) + n\\yn-xn\\, n = 1,2,..., that is, fixn) - fiy ) > n\\y -xn\\ for n = 1, 2,.... Clearly, we have y Bc(u, r). Note that xn Bc(u, r) whenever 1/n < r and / is Lipschitzian on Bc(u, r) with Lipschitz constant L. We have \f(x ) - f(yn)\ <L\\x -y \\ whenever l/n < r ; this is a contradiction which proved assertion (a). From the proof of assertion (a), it is easy to see that fn = fin Bc(u, r) by taking n [L] + 1 (where [L] denotes the maximal integer m satisfying m < L) ; that is, by Lemma 2, df(x)r\nb* is nonempty for each x Bc(u, r). Hence df(x) n nb* is nonempty for each x ß(w, r). Now we showed that there is a selection for df on B(u,r) which is bounded by n. The arbitrariness of u says that there is a selection ^ for 9/ on C which is locally bounded; hence we proved assertions (b) and (c). With / and / as in Lemma 1, by Lemma 2, we have dfu(x) c df(x) for each x G U n C. If C is closed and N(C) 0, note that x N(C) if

3 A NOTE ON THE DIFFERENTIABILITY OF CONVEX FUNCTIONS 1059 and only if Cx is dense in E [1]. By a simply convexity and differentiability argument, we see df = dfu in U C\ N(C). Hence we have Proposition 3. Suppose that C is closed with N(C) ^ 0 and f is locally Lipschitzian on N(C). Then the following versions are equivalent: (a) / is Gateaux differentiable at u N(C). (b) Every fu is Gateaux differentiable at u N(C). (c) Every selection for df on N(C) is norm-to-weak* continuous at u. (d) There is a selection for df on N(C) which is norm-to-weak* continuous at u. Corollary 4. Suppose that C is a closed convex set of the weak Asplund space E, and suppose that the convex function f is locally Lipschitzian on N(C). Then the set of points G, where f is Gateaux differentiable, is a Gs set of C. It is easy to see that if u N(C) is the Fréchet differentiability point of fu, then so is the one of f. The following example shows that if the interior of C is empty, then the Fréchet differentiability of fu is really stronger than the one off. ' Example 5. The function / defined by f(x) - \\x\\p on C = {x ll, x > 0 for n = 1,2,...} shows that / is Fréchet differentiable at each point of N(C) {x lx, xn > 0 for «= 1,2,...}, but the extension / of / (where fu II II/' on /') is nowhere Fréchet differentiable. More generally, we have Theorem 6. Suppose that E is separable, D is a nonempty open convex set of E, and f is a continuous convex function on D. Then, for each Gateaux differentiability point x D of f, there exists a closed convex subset C of D with N(C) t 0 and x N(C) such that fc (the restriction of f to C) is Fréchet differentiable at x. Proof. Let 0 < e < \. By [8] there are two sequences {xf} and {Xj} in E and in E*, respectively, satisfying (1) ^ = 1 for 7 = 1,2,...; (2) x; <l+e for; = 1,2,...; (3) x*(xj) = Sij (=1 if 1=/, =0 otherwise); (4) cl(span(x, for j = 1, 2,...)) = E. Suppose that x D is a Gateaux differentiability point of /. each n > 1, there exists 1 > 5n > 0 (5n > 0) such that (1) f(x±2ô xn)-fix)-(x*,±2ônxn) <2_n {x. = df{x)) Then, for Let En = span(x, for j = 1, 2,...,«), F = cë(±y for n = 1,2,...), and C = x + F, where y = ô x for n = 1,2,... Clearly, C (c D) is closed and convex and Cx is dense in E, and hence xéjv(c). Now we prove that point x is a Fréchet differentiability point of f. Suppose, to the contrary, that fc is not Fréchet differentiable at x. Then there is en > 0 such that for each

4 1060 WU CONGXIN AND CHENG LIXIN Sn there is z C with 0 < \\z - x\\ < dn such that fc(zn)-fc(x)-(x*,z -x) ^ ( - >*> y where x* = dfix). By the density of coi±yn for n = 1, 2,... ) in F, we can assume that {z - x} c coi±y for n = 1,2,...), that is, for each n > 1, there is a sequence {k{"]} with k{"] > 0 for i = 1, 2,... and, JL[.B) = 1 such that zn -x = ^/^ "'(iy/) Therefore, we have, by the properties of {x } and llz«- *ll > 7 max x*(z - x)\ (2), ;, = -^ max k{"]\\yj\\ = maxä,. l+e j J " ;" l+e j J ' Fix «o such that (1 + e) ~> = (1 + e)2-*> < e0/2. Let «o oo un=x + 2Y/l,n)(±yi) and vn = x + 2 X?\±yi). 1=1 i'=no + l Since z x, we can claim m,ü ë D for n = 1,2. Now we have z = ("«+ "" )/2, therefore, /c(z ) = /(z ) = /((«+ vn)/2) < \[fiun) + f(vn)]. Let w (u - x)/6 (where 6 - \\z - x\\). Then IKH = \\u -x\\/e <YlMln)\\yi\\/0n = 2Yix<?)âi/e (3),=1 '=' < il+e)-2y/^l")ài/maxxf)ôj < 2(1 +e)n0; that is, {wn} is contained by 2(1 + e)nob 0, where B 0 is the unit ball of the «o-dimensional subspace E 0 of E. (oo \ / oo ftp x + 2 Xf(±yi)\=fi k\"\x±2yl) + Y/k^x (=«0+1 / \/'=/io+l 1=1 oo «o < *.(i")f(x±2yi) + y ix?).f(x). i'=no+l '=1

5 A NOTE ON THE DIFFERENTIABILITY OF CONVEX FUNCTIONS 1061 Hence o < f(zn) - fix) - (x*, zn -x) < {[fjun) + fjvn)]/2 - fjx) - (X*, Z - x)} e f(u ) - f(x) - (X*,Un-x) f(v ) - f(x) - (X*,Vn-x) n < f(un) - fjx) - (X*, Un-X) 26n + ZT=n0+i^](f(x± 2yt) - f(x) - (x*, ±2y,» 26 (2) f(u ) - f(x) - (X*, U -X) 2dn (1 + e) T,T=n0+i in)(f(x ± 2v,) - fix) - (x*, ±2y,)) 2maxjXfôj (xjf(un)-f(x)-(x*,u -x) (1 c) 2_j j=n0+l f(u )-f(x)-(x*,u -x) q 26n + 2 = fix + enwn) - f(x) - (x*, enwn) " Since 2(1 + e)«o^/io is a bounded set of the «o-dimensional subspace E 0 of, u) ë2(1+ s)nob 0, and ö -» 0, and since / is Gateaux differentiable at x, we must have fjx + dnw ) - fjx) - (x*, d w ) for sufficiently large n. Hence fjx + enwn)- fjx)- (X*, d W ), 0 «0, «0 e - 2^-+ T< 2" + T = e for sufficiently large «, and this is a contradiction which completes our proof. Remark. The recent work of Preiss, Phelps, and Namioka [7] showed that if E admits an equivalent smooth norm, then it is of class (S). Hence, for the Gateaux differentiability, the Rainwater theorem still holds for smoothable Banach spaces. Acknowledgment The second author specially thanks Professors R. R. Phelps and I. Namioka for their hospitality and helpful conversations on this note.

6 1062 WU CONGXIN AND CHENG LIXIN References 1. J. Rainwater, Yet more on the differentiability of convex functions, Proc. Amer. Math. Soc. 103(1988), M. E. Verona, More on the differentiability of convex functions, Proc. Amer. Math. Soc. 103 (1988), J. B. Hiriart Urruty, Lipschitz r-continuity of the approximate subdifferential of a convex junction, Math. Scand. 47 (1980), P. J. Laurent, Approximation et optimisation, Hermann, Paris, E. Asplund, Fréchet differentiability of convex functions, Acta. Math. 121 (1968), S. Fitzpatrick and R. R. Phelps, Bounded approximants to monotone operators on Banach spaces (to appear). 7. D. Preiss, R. R. Phelps, and I. Namioka, Smooth Banach spaces, weak Asplund spaces and monotone or USCO mappings (to appear). 8. J. Lindenstrauss and L. Tzafiri, Classical Banach spaces. I, Springer-Verlag, New York, Department of Mathematics, Harbin Institute of Technology, Harbin, , People's Republic of China

YET MORE ON THE DIFFERENTIABILITY OF CONVEX FUNCTIONS

YET MORE ON THE DIFFERENTIABILITY OF CONVEX FUNCTIONS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 103, Number 3, July 1988 YET MORE ON THE DIFFERENTIABILITY OF CONVEX FUNCTIONS JOHN RAINWATER (Communicated by William J. Davis) ABSTRACT. Generic

More information

FRAGMENTABILITY OF ROTUND BANACH SPACES. Scott Sciffer. lim <Jl(x+A.y)- $(x) A-tO A

FRAGMENTABILITY OF ROTUND BANACH SPACES. Scott Sciffer. lim <Jl(x+A.y)- $(x) A-tO A 222 FRAGMENTABILITY OF ROTUND BANACH SPACES Scott Sciffer Introduction A topological. space X is said to be fragmented by a metric p if for every e > 0 and every subset Y of X there exists a nonempty relatively

More information

DIFFERENTIABILITY OF DISTANCE FUNCTIONS AND A PROXIMINAL PROPERTY INDUCING CONVEXITY

DIFFERENTIABILITY OF DISTANCE FUNCTIONS AND A PROXIMINAL PROPERTY INDUCING CONVEXITY proceedings of the american mathematical society Volume 104, Number 2, October 1988 DIFFERENTIABILITY OF DISTANCE FUNCTIONS AND A PROXIMINAL PROPERTY INDUCING CONVEXITY J. R. GILES (Communicated by William

More information

Subdifferential representation of convex functions: refinements and applications

Subdifferential representation of convex functions: refinements and applications Subdifferential representation of convex functions: refinements and applications Joël Benoist & Aris Daniilidis Abstract Every lower semicontinuous convex function can be represented through its subdifferential

More information

Examples of Convex Functions and Classifications of Normed Spaces

Examples of Convex Functions and Classifications of Normed Spaces Journal of Convex Analysis Volume 1 (1994), No.1, 61 73 Examples of Convex Functions and Classifications of Normed Spaces Jon Borwein 1 Department of Mathematics and Statistics, Simon Fraser University

More information

Differentiability of Convex Functions on a Banach Space with Smooth Bump Function 1

Differentiability of Convex Functions on a Banach Space with Smooth Bump Function 1 Journal of Convex Analysis Volume 1 (1994), No.1, 47 60 Differentiability of Convex Functions on a Banach Space with Smooth Bump Function 1 Li Yongxin, Shi Shuzhong Nankai Institute of Mathematics Tianjin,

More information

Epiconvergence and ε-subgradients of Convex Functions

Epiconvergence and ε-subgradients of Convex Functions Journal of Convex Analysis Volume 1 (1994), No.1, 87 100 Epiconvergence and ε-subgradients of Convex Functions Andrei Verona Department of Mathematics, California State University Los Angeles, CA 90032,

More information

Sum of two maximal monotone operators in a general Banach space is maximal

Sum of two maximal monotone operators in a general Banach space is maximal arxiv:1505.04879v1 [math.fa] 19 May 2015 Sum of two maximal monotone operators in a general Banach space is maximal S R Pattanaik, D K Pradhan and S Pradhan May 20, 2015 Abstract In a real Banach space,

More information

ON GAP FUNCTIONS OF VARIATIONAL INEQUALITY IN A BANACH SPACE. Sangho Kum and Gue Myung Lee. 1. Introduction

ON GAP FUNCTIONS OF VARIATIONAL INEQUALITY IN A BANACH SPACE. Sangho Kum and Gue Myung Lee. 1. Introduction J. Korean Math. Soc. 38 (2001), No. 3, pp. 683 695 ON GAP FUNCTIONS OF VARIATIONAL INEQUALITY IN A BANACH SPACE Sangho Kum and Gue Myung Lee Abstract. In this paper we are concerned with theoretical properties

More information

Optimality Conditions for Nonsmooth Convex Optimization

Optimality Conditions for Nonsmooth Convex Optimization Optimality Conditions for Nonsmooth Convex Optimization Sangkyun Lee Oct 22, 2014 Let us consider a convex function f : R n R, where R is the extended real field, R := R {, + }, which is proper (f never

More information

Monotone operators and bigger conjugate functions

Monotone operators and bigger conjugate functions Monotone operators and bigger conjugate functions Heinz H. Bauschke, Jonathan M. Borwein, Xianfu Wang, and Liangjin Yao August 12, 2011 Abstract We study a question posed by Stephen Simons in his 2008

More information

THE UNIQUE MINIMAL DUAL REPRESENTATION OF A CONVEX FUNCTION

THE UNIQUE MINIMAL DUAL REPRESENTATION OF A CONVEX FUNCTION THE UNIQUE MINIMAL DUAL REPRESENTATION OF A CONVEX FUNCTION HALUK ERGIN AND TODD SARVER Abstract. Suppose (i) X is a separable Banach space, (ii) C is a convex subset of X that is a Baire space (when endowed

More information

SOME PROPERTIES ON THE CLOSED SUBSETS IN BANACH SPACES

SOME PROPERTIES ON THE CLOSED SUBSETS IN BANACH SPACES ARCHIVUM MATHEMATICUM (BRNO) Tomus 42 (2006), 167 174 SOME PROPERTIES ON THE CLOSED SUBSETS IN BANACH SPACES ABDELHAKIM MAADEN AND ABDELKADER STOUTI Abstract. It is shown that under natural assumptions,

More information

Yuqing Chen, Yeol Je Cho, and Li Yang

Yuqing Chen, Yeol Je Cho, and Li Yang Bull. Korean Math. Soc. 39 (2002), No. 4, pp. 535 541 NOTE ON THE RESULTS WITH LOWER SEMI-CONTINUITY Yuqing Chen, Yeol Je Cho, and Li Yang Abstract. In this paper, we introduce the concept of lower semicontinuous

More information

("-1/' .. f/ L) I LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERA TORS. R. T. Rockafellar. MICHIGAN MATHEMATICAL vol. 16 (1969) pp.

(-1/' .. f/ L) I LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERA TORS. R. T. Rockafellar. MICHIGAN MATHEMATICAL vol. 16 (1969) pp. I l ("-1/'.. f/ L) I LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERA TORS R. T. Rockafellar from the MICHIGAN MATHEMATICAL vol. 16 (1969) pp. 397-407 JOURNAL LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERATORS

More information

The local equicontinuity of a maximal monotone operator

The local equicontinuity of a maximal monotone operator arxiv:1410.3328v2 [math.fa] 3 Nov 2014 The local equicontinuity of a maximal monotone operator M.D. Voisei Abstract The local equicontinuity of an operator T : X X with proper Fitzpatrick function ϕ T

More information

NOWHERE LOCALLY UNIFORMLY CONTINUOUS FUNCTIONS

NOWHERE LOCALLY UNIFORMLY CONTINUOUS FUNCTIONS NOWHERE LOCALLY UNIFORMLY CONTINUOUS FUNCTIONS K. Jarosz Southern Illinois University at Edwardsville, IL 606, and Bowling Green State University, OH 43403 kjarosz@siue.edu September, 995 Abstract. Suppose

More information

(convex combination!). Use convexity of f and multiply by the common denominator to get. Interchanging the role of x and y, we obtain that f is ( 2M ε

(convex combination!). Use convexity of f and multiply by the common denominator to get. Interchanging the role of x and y, we obtain that f is ( 2M ε 1. Continuity of convex functions in normed spaces In this chapter, we consider continuity properties of real-valued convex functions defined on open convex sets in normed spaces. Recall that every infinitedimensional

More information

Brøndsted-Rockafellar property of subdifferentials of prox-bounded functions. Marc Lassonde Université des Antilles et de la Guyane

Brøndsted-Rockafellar property of subdifferentials of prox-bounded functions. Marc Lassonde Université des Antilles et de la Guyane Conference ADGO 2013 October 16, 2013 Brøndsted-Rockafellar property of subdifferentials of prox-bounded functions Marc Lassonde Université des Antilles et de la Guyane Playa Blanca, Tongoy, Chile SUBDIFFERENTIAL

More information

A Note on the Class of Superreflexive Almost Transitive Banach Spaces

A Note on the Class of Superreflexive Almost Transitive Banach Spaces E extracta mathematicae Vol. 23, Núm. 1, 1 6 (2008) A Note on the Class of Superreflexive Almost Transitive Banach Spaces Jarno Talponen University of Helsinki, Department of Mathematics and Statistics,

More information

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9 MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended

More information

Differentiability and Measures in Banach Spaces

Differentiability and Measures in Banach Spaces Differentiability and Measures in Banach Spaces David Preiss Department of Mathematics, University College London, London WC1E 6BT, UK The purpose of this contribution is to give information about new

More information

WEAK CONVERGENCE OF RESOLVENTS OF MAXIMAL MONOTONE OPERATORS AND MOSCO CONVERGENCE

WEAK CONVERGENCE OF RESOLVENTS OF MAXIMAL MONOTONE OPERATORS AND MOSCO CONVERGENCE Fixed Point Theory, Volume 6, No. 1, 2005, 59-69 http://www.math.ubbcluj.ro/ nodeacj/sfptcj.htm WEAK CONVERGENCE OF RESOLVENTS OF MAXIMAL MONOTONE OPERATORS AND MOSCO CONVERGENCE YASUNORI KIMURA Department

More information

ON THE RANGE OF THE SUM OF MONOTONE OPERATORS IN GENERAL BANACH SPACES

ON THE RANGE OF THE SUM OF MONOTONE OPERATORS IN GENERAL BANACH SPACES PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 124, Number 11, November 1996 ON THE RANGE OF THE SUM OF MONOTONE OPERATORS IN GENERAL BANACH SPACES HASSAN RIAHI (Communicated by Palle E. T. Jorgensen)

More information

Iterative Convex Optimization Algorithms; Part One: Using the Baillon Haddad Theorem

Iterative Convex Optimization Algorithms; Part One: Using the Baillon Haddad Theorem Iterative Convex Optimization Algorithms; Part One: Using the Baillon Haddad Theorem Charles Byrne (Charles Byrne@uml.edu) http://faculty.uml.edu/cbyrne/cbyrne.html Department of Mathematical Sciences

More information

The sum of two maximal monotone operator is of type FPV

The sum of two maximal monotone operator is of type FPV CJMS. 5(1)(2016), 17-21 Caspian Journal of Mathematical Sciences (CJMS) University of Mazandaran, Iran http://cjms.journals.umz.ac.ir ISSN: 1735-0611 The sum of two maximal monotone operator is of type

More information

On restricted weak upper semicontinuous set valued mappings and reflexivity

On restricted weak upper semicontinuous set valued mappings and reflexivity On restricted weak upper semicontinuous set valued mappings and reflexivity Julio Benítez Vicente Montesinos Dedicated to Professor Manuel Valdivia. Abstract It is known that if a Banach space is quasi

More information

ON THE INVERSE FUNCTION THEOREM

ON THE INVERSE FUNCTION THEOREM PACIFIC JOURNAL OF MATHEMATICS Vol. 64, No 1, 1976 ON THE INVERSE FUNCTION THEOREM F. H. CLARKE The classical inverse function theorem gives conditions under which a C r function admits (locally) a C Γ

More information

On super-weakly compact sets and uniformly convexifiable sets

On super-weakly compact sets and uniformly convexifiable sets STUDIA MATHEMATICA 199 () (010) On super-weakly compact sets and uniformly convexifiable sets by Lixin Cheng, Qingjin Cheng, Bo Wang and Wen Zhang (Xiamen) Abstract. This paper mainly concerns the topological

More information

A NICE PROOF OF FARKAS LEMMA

A NICE PROOF OF FARKAS LEMMA A NICE PROOF OF FARKAS LEMMA DANIEL VICTOR TAUSK Abstract. The goal of this short note is to present a nice proof of Farkas Lemma which states that if C is the convex cone spanned by a finite set and if

More information

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.

More information

MATH 409 Advanced Calculus I Lecture 12: Uniform continuity. Exponential functions.

MATH 409 Advanced Calculus I Lecture 12: Uniform continuity. Exponential functions. MATH 409 Advanced Calculus I Lecture 12: Uniform continuity. Exponential functions. Uniform continuity Definition. A function f : E R defined on a set E R is called uniformly continuous on E if for every

More information

Necessary Optimality Conditions for ε e Pareto Solutions in Vector Optimization with Empty Interior Ordering Cones

Necessary Optimality Conditions for ε e Pareto Solutions in Vector Optimization with Empty Interior Ordering Cones Noname manuscript No. (will be inserted by the editor Necessary Optimality Conditions for ε e Pareto Solutions in Vector Optimization with Empty Interior Ordering Cones Truong Q. Bao Suvendu R. Pattanaik

More information

Topological properties

Topological properties CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological

More information

ON THE MAZUR-ULAM THEOREM AND THE ALEKSANDROV PROBLEM FOR UNIT DISTANCE PRESERVING MAPPINGS

ON THE MAZUR-ULAM THEOREM AND THE ALEKSANDROV PROBLEM FOR UNIT DISTANCE PRESERVING MAPPINGS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 118, Number 3, July 1993 ON THE MAZUR-ULAM THEOREM AND THE ALEKSANDROV PROBLEM FOR UNIT DISTANCE PRESERVING MAPPINGS THEMISTOCLES M. RASSIAS AND

More information

A characterization of essentially strictly convex functions on reflexive Banach spaces

A characterization of essentially strictly convex functions on reflexive Banach spaces A characterization of essentially strictly convex functions on reflexive Banach spaces Michel Volle Département de Mathématiques Université d Avignon et des Pays de Vaucluse 74, rue Louis Pasteur 84029

More information

RENORMINGS OF L p (L q )

RENORMINGS OF L p (L q ) RENORMINGS OF L p (L q ) by arxiv:math/9804002v1 [math.fa] 1 Apr 1998 R. Deville, R. Gonzalo and J. A. Jaramillo (*) Laboratoire de Mathématiques, Université Bordeaux I, 351, cours de la Libération, 33400

More information

Continuity of convex functions in normed spaces

Continuity of convex functions in normed spaces Continuity of convex functions in normed spaces In this chapter, we consider continuity properties of real-valued convex functions defined on open convex sets in normed spaces. Recall that every infinitedimensional

More information

INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES. Separable reductions and rich families in theory of Fréchet subdifferentials.

INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES. Separable reductions and rich families in theory of Fréchet subdifferentials. INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES Separable reductions and rich families in theory of Fréchet subdifferentials Marián Fabian Preprint No. 86-2015 PRAHA 2015 Spring School on Variational

More information

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3 Index Page 1 Topology 2 1.1 Definition of a topology 2 1.2 Basis (Base) of a topology 2 1.3 The subspace topology & the product topology on X Y 3 1.4 Basic topology concepts: limit points, closed sets,

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journal of Inequalities in Pure and Applied Mathematics http://jipam.vu.edu.au/ Volume 4, Issue 4, Article 67, 2003 ON GENERALIZED MONOTONE MULTIFUNCTIONS WITH APPLICATIONS TO OPTIMALITY CONDITIONS IN

More information

Optimization and Optimal Control in Banach Spaces

Optimization and Optimal Control in Banach Spaces Optimization and Optimal Control in Banach Spaces Bernhard Schmitzer October 19, 2017 1 Convex non-smooth optimization with proximal operators Remark 1.1 (Motivation). Convex optimization: easier to solve,

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journal of Inequalities in Pure and Applied Mathematics EPI-DIFFERENTIABILITY AND OPTIMALITY CONDITIONS FOR AN EXTREMAL PROBLEM UNDER INCLUSION CONSTRAINTS T. AMAHROQ, N. GADHI AND PR H. RIAHI Université

More information

APPROXIMATE ISOMETRIES ON FINITE-DIMENSIONAL NORMED SPACES

APPROXIMATE ISOMETRIES ON FINITE-DIMENSIONAL NORMED SPACES APPROXIMATE ISOMETRIES ON FINITE-DIMENSIONAL NORMED SPACES S. J. DILWORTH Abstract. Every ε-isometry u between real normed spaces of the same finite dimension which maps the origin to the origin may by

More information

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered

More information

From now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1.

From now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1. Chapter 1 Metric spaces 1.1 Metric and convergence We will begin with some basic concepts. Definition 1.1. (Metric space) Metric space is a set X, with a metric satisfying: 1. d(x, y) 0, d(x, y) = 0 x

More information

^-,({«}))=ic^if<iic/n^ir=iic/, where e(n) is the sequence defined by e(n\m) = 8^, (the Kronecker delta).

^-,({«}))=ic^if<iic/n^ir=iic/, where e(n) is the sequence defined by e(n\m) = 8^, (the Kronecker delta). PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 70, Number 1, June 1978 COMPOSITION OPERATOR ON F AND ITS ADJOINT R. K. SINGH AND B. S. KOMAL Abstract. A necessary and sufficient condition for

More information

SOME REMARKS ON SUBDIFFERENTIABILITY OF CONVEX FUNCTIONS

SOME REMARKS ON SUBDIFFERENTIABILITY OF CONVEX FUNCTIONS Applied Mathematics E-Notes, 5(2005), 150-156 c ISSN 1607-2510 Available free at mirror sites of http://www.math.nthu.edu.tw/ amen/ SOME REMARKS ON SUBDIFFERENTIABILITY OF CONVEX FUNCTIONS Mohamed Laghdir

More information

Convex Optimization Notes

Convex Optimization Notes Convex Optimization Notes Jonathan Siegel January 2017 1 Convex Analysis This section is devoted to the study of convex functions f : B R {+ } and convex sets U B, for B a Banach space. The case of B =

More information

Abstract. The connectivity of the efficient point set and of some proper efficient point sets in locally convex spaces is investigated.

Abstract. The connectivity of the efficient point set and of some proper efficient point sets in locally convex spaces is investigated. APPLICATIONES MATHEMATICAE 25,1 (1998), pp. 121 127 W. SONG (Harbin and Warszawa) ON THE CONNECTIVITY OF EFFICIENT POINT SETS Abstract. The connectivity of the efficient point set and of some proper efficient

More information

Weak-Star Convergence of Convex Sets

Weak-Star Convergence of Convex Sets Journal of Convex Analysis Volume 13 (2006), No. 3+4, 711 719 Weak-Star Convergence of Convex Sets S. Fitzpatrick A. S. Lewis ORIE, Cornell University, Ithaca, NY 14853, USA aslewis@orie.cornell.edu www.orie.cornell.edu/

More information

arxiv:math/ v1 [math.fa] 4 Feb 1993

arxiv:math/ v1 [math.fa] 4 Feb 1993 Lectures on Maximal Monotone Operators R. R. Phelps Dept. Math. GN 50, Univ. of Wash., Seattle WA 98195; phelps@math.washington.edu (Lectures given at Prague/Paseky Summer School, Czech Republic, August

More information

Weak* Sequential Compactness and Bornological Limit Derivatives

Weak* Sequential Compactness and Bornological Limit Derivatives Journal of Convex Analysis Volume 2 (1995), No.1/2, 59 67 Weak* Sequential Compactness and Bornological Limit Derivatives Jonathan Borwein 1 Department of Mathematics and Statistics, Simon Fraser University,

More information

UNIQUENESS OF THE UNIFORM NORM

UNIQUENESS OF THE UNIFORM NORM proceedings of the american mathematical society Volume 116, Number 2, October 1992 UNIQUENESS OF THE UNIFORM NORM WITH AN APPLICATION TO TOPOLOGICAL ALGEBRAS S. J. BHATT AND D. J. KARIA (Communicated

More information

Math General Topology Fall 2012 Homework 11 Solutions

Math General Topology Fall 2012 Homework 11 Solutions Math 535 - General Topology Fall 2012 Homework 11 Solutions Problem 1. Let X be a topological space. a. Show that the following properties of a subset A X are equivalent. 1. The closure of A in X has empty

More information

A PROOF OF A CONVEX-VALUED SELECTION THEOREM WITH THE CODOMAIN OF A FRÉCHET SPACE. Myung-Hyun Cho and Jun-Hui Kim. 1. Introduction

A PROOF OF A CONVEX-VALUED SELECTION THEOREM WITH THE CODOMAIN OF A FRÉCHET SPACE. Myung-Hyun Cho and Jun-Hui Kim. 1. Introduction Comm. Korean Math. Soc. 16 (2001), No. 2, pp. 277 285 A PROOF OF A CONVEX-VALUED SELECTION THEOREM WITH THE CODOMAIN OF A FRÉCHET SPACE Myung-Hyun Cho and Jun-Hui Kim Abstract. The purpose of this paper

More information

Problem Set 5. 2 n k. Then a nk (x) = 1+( 1)k

Problem Set 5. 2 n k. Then a nk (x) = 1+( 1)k Problem Set 5 1. (Folland 2.43) For x [, 1), let 1 a n (x)2 n (a n (x) = or 1) be the base-2 expansion of x. (If x is a dyadic rational, choose the expansion such that a n (x) = for large n.) Then the

More information

Peak Point Theorems for Uniform Algebras on Smooth Manifolds

Peak Point Theorems for Uniform Algebras on Smooth Manifolds Peak Point Theorems for Uniform Algebras on Smooth Manifolds John T. Anderson and Alexander J. Izzo Abstract: It was once conjectured that if A is a uniform algebra on its maximal ideal space X, and if

More information

Strong subdifferentiability of norms and geometry of Banach spaces. G. Godefroy, V. Montesinos and V. Zizler

Strong subdifferentiability of norms and geometry of Banach spaces. G. Godefroy, V. Montesinos and V. Zizler Strong subdifferentiability of norms and geometry of Banach spaces G. Godefroy, V. Montesinos and V. Zizler Dedicated to the memory of Josef Kolomý Abstract. The strong subdifferentiability of norms (i.e.

More information

DIFFERENTIABILITY VIA DIRECTIONAL DERIVATIVES

DIFFERENTIABILITY VIA DIRECTIONAL DERIVATIVES PROCEEDINGS OK THE AMERICAN MATHEMATICAL SOCIETY Volume 70, Number 1, lune 1978 DIFFERENTIABILITY VIA DIRECTIONAL DERIVATIVES KA-SING LAU AND CLIFFORD E. WEIL Abstract. Let F be a continuous function from

More information

A CHARACTERIZATION OF STRICT LOCAL MINIMIZERS OF ORDER ONE FOR STATIC MINMAX PROBLEMS IN THE PARAMETRIC CONSTRAINT CASE

A CHARACTERIZATION OF STRICT LOCAL MINIMIZERS OF ORDER ONE FOR STATIC MINMAX PROBLEMS IN THE PARAMETRIC CONSTRAINT CASE Journal of Applied Analysis Vol. 6, No. 1 (2000), pp. 139 148 A CHARACTERIZATION OF STRICT LOCAL MINIMIZERS OF ORDER ONE FOR STATIC MINMAX PROBLEMS IN THE PARAMETRIC CONSTRAINT CASE A. W. A. TAHA Received

More information

Convex Analysis and Economic Theory AY Elementary properties of convex functions

Convex Analysis and Economic Theory AY Elementary properties of convex functions Division of the Humanities and Social Sciences Ec 181 KC Border Convex Analysis and Economic Theory AY 2018 2019 Topic 6: Convex functions I 6.1 Elementary properties of convex functions We may occasionally

More information

Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem

Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem 56 Chapter 7 Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem Recall that C(X) is not a normed linear space when X is not compact. On the other hand we could use semi

More information

On the use of semi-closed sets and functions in convex analysis

On the use of semi-closed sets and functions in convex analysis Open Math. 2015; 13: 1 5 Open Mathematics Open Access Research Article Constantin Zălinescu* On the use of semi-closed sets and functions in convex analysis Abstract: The main aim of this short note is

More information

arxiv: v1 [math.oc] 21 Mar 2015

arxiv: v1 [math.oc] 21 Mar 2015 Convex KKM maps, monotone operators and Minty variational inequalities arxiv:1503.06363v1 [math.oc] 21 Mar 2015 Marc Lassonde Université des Antilles, 97159 Pointe à Pitre, France E-mail: marc.lassonde@univ-ag.fr

More information

Subdifferentiability and the Duality Gap

Subdifferentiability and the Duality Gap Subdifferentiability and the Duality Gap Neil E. Gretsky (neg@math.ucr.edu) Department of Mathematics, University of California, Riverside Joseph M. Ostroy (ostroy@econ.ucla.edu) Department of Economics,

More information

1. Bounded linear maps. A linear map T : E F of real Banach

1. Bounded linear maps. A linear map T : E F of real Banach DIFFERENTIABLE MAPS 1. Bounded linear maps. A linear map T : E F of real Banach spaces E, F is bounded if M > 0 so that for all v E: T v M v. If v r T v C for some positive constants r, C, then T is bounded:

More information

THE INVERSE FUNCTION THEOREM

THE INVERSE FUNCTION THEOREM THE INVERSE FUNCTION THEOREM W. PATRICK HOOPER The implicit function theorem is the following result: Theorem 1. Let f be a C 1 function from a neighborhood of a point a R n into R n. Suppose A = Df(a)

More information

PREVALENCE OF SOME KNOWN TYPICAL PROPERTIES. 1. Introduction

PREVALENCE OF SOME KNOWN TYPICAL PROPERTIES. 1. Introduction Acta Math. Univ. Comenianae Vol. LXX, 2(2001), pp. 185 192 185 PREVALENCE OF SOME KNOWN TYPICAL PROPERTIES H. SHI Abstract. In this paper, some known typical properties of function spaces are shown to

More information

The structure of ideals, point derivations, amenability and weak amenability of extended Lipschitz algebras

The structure of ideals, point derivations, amenability and weak amenability of extended Lipschitz algebras Int. J. Nonlinear Anal. Appl. 8 (2017) No. 1, 389-404 ISSN: 2008-6822 (electronic) http://dx.doi.org/10.22075/ijnaa.2016.493 The structure of ideals, point derivations, amenability and weak amenability

More information

FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets

FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES CHRISTOPHER HEIL 1. Compact Sets Definition 1.1 (Compact and Totally Bounded Sets). Let X be a metric space, and let E X be

More information

Exercises from other sources REAL NUMBERS 2,...,

Exercises from other sources REAL NUMBERS 2,..., Exercises from other sources REAL NUMBERS 1. Find the supremum and infimum of the following sets: a) {1, b) c) 12, 13, 14, }, { 1 3, 4 9, 13 27, 40 } 81,, { 2, 2 + 2, 2 + 2 + } 2,..., d) {n N : n 2 < 10},

More information

Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011

Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011 Economics 204 Summer/Fall 2011 Lecture 5 Friday July 29, 2011 Section 2.6 (cont.) Properties of Real Functions Here we first study properties of functions from R to R, making use of the additional structure

More information

TOPOLOGICAL GROUPS MATH 519

TOPOLOGICAL GROUPS MATH 519 TOPOLOGICAL GROUPS MATH 519 The purpose of these notes is to give a mostly self-contained topological background for the study of the representations of locally compact totally disconnected groups, as

More information

SOME REMARKS ON THE SPACE OF DIFFERENCES OF SUBLINEAR FUNCTIONS

SOME REMARKS ON THE SPACE OF DIFFERENCES OF SUBLINEAR FUNCTIONS APPLICATIONES MATHEMATICAE 22,3 (1994), pp. 419 426 S. G. BARTELS and D. PALLASCHKE (Karlsruhe) SOME REMARKS ON THE SPACE OF DIFFERENCES OF SUBLINEAR FUNCTIONS Abstract. Two properties concerning the space

More information

Math 5052 Measure Theory and Functional Analysis II Homework Assignment 7

Math 5052 Measure Theory and Functional Analysis II Homework Assignment 7 Math 5052 Measure Theory and Functional Analysis II Homework Assignment 7 Prof. Wickerhauser Due Friday, February 5th, 2016 Please do Exercises 3, 6, 14, 16*, 17, 18, 21*, 23*, 24, 27*. Exercises marked

More information

FIXED POINT ITERATION FOR PSEUDOCONTRACTIVE MAPS

FIXED POINT ITERATION FOR PSEUDOCONTRACTIVE MAPS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 127, Number 4, April 1999, Pages 1163 1170 S 0002-9939(99)05050-9 FIXED POINT ITERATION FOR PSEUDOCONTRACTIVE MAPS C. E. CHIDUME AND CHIKA MOORE

More information

CHAPTER 9. Embedding theorems

CHAPTER 9. Embedding theorems CHAPTER 9 Embedding theorems In this chapter we will describe a general method for attacking embedding problems. We will establish several results but, as the main final result, we state here the following:

More information

OPTIMALITY CONDITIONS FOR D.C. VECTOR OPTIMIZATION PROBLEMS UNDER D.C. CONSTRAINTS. N. Gadhi, A. Metrane

OPTIMALITY CONDITIONS FOR D.C. VECTOR OPTIMIZATION PROBLEMS UNDER D.C. CONSTRAINTS. N. Gadhi, A. Metrane Serdica Math. J. 30 (2004), 17 32 OPTIMALITY CONDITIONS FOR D.C. VECTOR OPTIMIZATION PROBLEMS UNDER D.C. CONSTRAINTS N. Gadhi, A. Metrane Communicated by A. L. Dontchev Abstract. In this paper, we establish

More information

arxiv: v1 [math.fa] 30 Jun 2014

arxiv: v1 [math.fa] 30 Jun 2014 Maximality of the sum of the subdifferential operator and a maximally monotone operator arxiv:1406.7664v1 [math.fa] 30 Jun 2014 Liangjin Yao June 29, 2014 Abstract The most important open problem in Monotone

More information

THE NEARLY ADDITIVE MAPS

THE NEARLY ADDITIVE MAPS Bull. Korean Math. Soc. 46 (009), No., pp. 199 07 DOI 10.4134/BKMS.009.46..199 THE NEARLY ADDITIVE MAPS Esmaeeil Ansari-Piri and Nasrin Eghbali Abstract. This note is a verification on the relations between

More information

Smarandachely Precontinuous maps. and Preopen Sets in Topological Vector Spaces

Smarandachely Precontinuous maps. and Preopen Sets in Topological Vector Spaces International J.Math. Combin. Vol.2 (2009), 21-26 Smarandachely Precontinuous maps and Preopen Sets in Topological Vector Spaces Sayed Elagan Department of Mathematics and Statistics Faculty of Science,

More information

g 2 (x) (1/3)M 1 = (1/3)(2/3)M.

g 2 (x) (1/3)M 1 = (1/3)(2/3)M. COMPACTNESS If C R n is closed and bounded, then by B-W it is sequentially compact: any sequence of points in C has a subsequence converging to a point in C Conversely, any sequentially compact C R n is

More information

UNIFORMLY GÂTEAUX SMOOTH APPROXIMATIONS ON c 0 (Γ)

UNIFORMLY GÂTEAUX SMOOTH APPROXIMATIONS ON c 0 (Γ) UNIFORMLY GÂTEAUX SMOOTH APPROXIMATIONS ON c 0 Γ) PETR HÁJEK AND MICHAL JOHANIS Abstract. Every Lipschitz mapping from c 0 Γ) into a Banach space Y can be uniformly approximated by Lipschitz mappings that

More information

A continuous operator extending fuzzy ultrametrics

A continuous operator extending fuzzy ultrametrics A continuous operator extending fuzzy ultrametrics I. Stasyuk, E.D. Tymchatyn November 30, 200 Abstract We consider the problem of simultaneous extension of fuzzy ultrametrics defined on closed subsets

More information

MAXIMALITY OF SUMS OF TWO MAXIMAL MONOTONE OPERATORS

MAXIMALITY OF SUMS OF TWO MAXIMAL MONOTONE OPERATORS MAXIMALITY OF SUMS OF TWO MAXIMAL MONOTONE OPERATORS JONATHAN M. BORWEIN, FRSC Abstract. We use methods from convex analysis convex, relying on an ingenious function of Simon Fitzpatrick, to prove maximality

More information

On pseudomonotone variational inequalities

On pseudomonotone variational inequalities An. Şt. Univ. Ovidius Constanţa Vol. 14(1), 2006, 83 90 On pseudomonotone variational inequalities Silvia Fulina Abstract Abstract. There are mainly two definitions of pseudomonotone mappings. First, introduced

More information

On Semicontinuity of Convex-valued Multifunctions and Cesari s Property (Q)

On Semicontinuity of Convex-valued Multifunctions and Cesari s Property (Q) On Semicontinuity of Convex-valued Multifunctions and Cesari s Property (Q) Andreas Löhne May 2, 2005 (last update: November 22, 2005) Abstract We investigate two types of semicontinuity for set-valued

More information

REPRESENTABLE BANACH SPACES AND UNIFORMLY GÂTEAUX-SMOOTH NORMS. Julien Frontisi

REPRESENTABLE BANACH SPACES AND UNIFORMLY GÂTEAUX-SMOOTH NORMS. Julien Frontisi Serdica Math. J. 22 (1996), 33-38 REPRESENTABLE BANACH SPACES AND UNIFORMLY GÂTEAUX-SMOOTH NORMS Julien Frontisi Communicated by G. Godefroy Abstract. It is proved that a representable non-separable Banach

More information

ECARES Université Libre de Bruxelles MATH CAMP Basic Topology

ECARES Université Libre de Bruxelles MATH CAMP Basic Topology ECARES Université Libre de Bruxelles MATH CAMP 03 Basic Topology Marjorie Gassner Contents: - Subsets, Cartesian products, de Morgan laws - Ordered sets, bounds, supremum, infimum - Functions, image, preimage,

More information

Chapter 2 Convex Analysis

Chapter 2 Convex Analysis Chapter 2 Convex Analysis The theory of nonsmooth analysis is based on convex analysis. Thus, we start this chapter by giving basic concepts and results of convexity (for further readings see also [202,

More information

ON THE HYPERBANACH SPACES. P. Raja. S.M. Vaezpour. 1. Introduction

ON THE HYPERBANACH SPACES. P. Raja. S.M. Vaezpour. 1. Introduction italian journal of pure and applied mathematics n. 28 2011 (261 272) 261 ON THE HYPERBANACH SPACES P. Raja Department O Mathematics Shahid Beheshti University P.O. Box 1983963113, Tehran Iran e-mail: pandoora

More information

On constraint qualifications with generalized convexity and optimality conditions

On constraint qualifications with generalized convexity and optimality conditions On constraint qualifications with generalized convexity and optimality conditions Manh-Hung Nguyen, Do Van Luu To cite this version: Manh-Hung Nguyen, Do Van Luu. On constraint qualifications with generalized

More information

Immerse Metric Space Homework

Immerse Metric Space Homework Immerse Metric Space Homework (Exercises -2). In R n, define d(x, y) = x y +... + x n y n. Show that d is a metric that induces the usual topology. Sketch the basis elements when n = 2. Solution: Steps

More information

Shih-sen Chang, Yeol Je Cho, and Haiyun Zhou

Shih-sen Chang, Yeol Je Cho, and Haiyun Zhou J. Korean Math. Soc. 38 (2001), No. 6, pp. 1245 1260 DEMI-CLOSED PRINCIPLE AND WEAK CONVERGENCE PROBLEMS FOR ASYMPTOTICALLY NONEXPANSIVE MAPPINGS Shih-sen Chang, Yeol Je Cho, and Haiyun Zhou Abstract.

More information

ON A HYBRID PROXIMAL POINT ALGORITHM IN BANACH SPACES

ON A HYBRID PROXIMAL POINT ALGORITHM IN BANACH SPACES U.P.B. Sci. Bull., Series A, Vol. 80, Iss. 3, 2018 ISSN 1223-7027 ON A HYBRID PROXIMAL POINT ALGORITHM IN BANACH SPACES Vahid Dadashi 1 In this paper, we introduce a hybrid projection algorithm for a countable

More information

IN AN ALGEBRA OF OPERATORS

IN AN ALGEBRA OF OPERATORS Bull. Korean Math. Soc. 54 (2017), No. 2, pp. 443 454 https://doi.org/10.4134/bkms.b160011 pissn: 1015-8634 / eissn: 2234-3016 q-frequent HYPERCYCLICITY IN AN ALGEBRA OF OPERATORS Jaeseong Heo, Eunsang

More information

(c) For each α R \ {0}, the mapping x αx is a homeomorphism of X.

(c) For each α R \ {0}, the mapping x αx is a homeomorphism of X. A short account of topological vector spaces Normed spaces, and especially Banach spaces, are basic ambient spaces in Infinite- Dimensional Analysis. However, there are situations in which it is necessary

More information

Viscosity Iterative Approximating the Common Fixed Points of Non-expansive Semigroups in Banach Spaces

Viscosity Iterative Approximating the Common Fixed Points of Non-expansive Semigroups in Banach Spaces Viscosity Iterative Approximating the Common Fixed Points of Non-expansive Semigroups in Banach Spaces YUAN-HENG WANG Zhejiang Normal University Department of Mathematics Yingbing Road 688, 321004 Jinhua

More information

REAL AND COMPLEX ANALYSIS

REAL AND COMPLEX ANALYSIS REAL AND COMPLE ANALYSIS Third Edition Walter Rudin Professor of Mathematics University of Wisconsin, Madison Version 1.1 No rights reserved. Any part of this work can be reproduced or transmitted in any

More information