An Approximation for the Mumford-Shah Functional
|
|
- Melina Hunt
- 7 years ago
- Views:
Transcription
1 Int. J. Contemp. Math. Sciences, Vol. 2, 2007, no. 25, n pproximation for the Mumford-Shah Functional Luca Lussardi Dipartimento di Matematica Facoltà di Ingegneria, Università degli Studi di Brescia via Valotti 9, 2533 Brescia, Italy luca.lussardi@ing.unibs.it bstract We approximate, in the sense of Γ-convergence, the Mumford-Shah functional by means of a sequence of non-local integral functionals depending on the average of the absolute value of the gradient. Mathematics Subject Classification: 49Q20 Keywords: Γ-convergence, Mumford-Shah functional Introduction In the variational approach to many problems in computer vision (image segmentation, signal processing and so on an important rôle has been played by the Mumford-Shah functional, which is the most famous example of a free discontinuity functional (terminology introduced by DeGiorgi in []. The Mumford-Shah functional is given by MS(u = u 2 dx + ch n (S u where u SBV (, the space of special functions of bounded variation; S u is the approximate discontinuity set of u and H n is the (n -dimensional Hausdorff measure. Several approximation methods are known for the Mumford- Shah functional and, more in general, for free discontinuity functionals: the mbrosio & Tortorelli approximation (see [] and [3] via elliptic functionals, the Gobbino s approximation by finite difference methods (see [2] and many others (see [6], [7], [9], [0].
2 238 L. Lussardi In [5] Braides & Dal Maso approximate the Mumford-Shah functional by means of a sequence of non-local integral functionals given by F (u = ( f u 2 dy dx ( B (x with u H ( and, for instance, f(t =t /2. variant of this method is investigated in [4], [5] and [3] where the problem of the convergence of F (u = f ( u dy dx (2 B (x is considered; here f is a convex-concave function with f (t/ φ(t, as (, t (0, 0, where φ has linear growth at infinity and plays the rôle of the bulk energy density in the limit of F. Then, under the assumption on f in [3], the Mumford-Shah functional cannot be recovered by the Γ-convergence of F, since the bulk term in MS is given by u 2 dx and it has superlinear growth at infinity. question arise: is it possibile to recover the Mumford-Shah functional from (2 instead of (? The aim of this paper is to prove an approximation results for the Mumford-Shah functional, obtained adapting the results contained in [4], [5] and [3], by means of a sequence of functionals of type (2. The core of the proof is Theorem 4. where the lower bound for the Γ-limit is optimized by a sup of measures argument, while the upper bound descends from standard density results and general properties of Minkowsky content. 2 Preliminary Notes Functions of bounded variation. For a thorough treatment of BV functions we refer to [2]. Let be an open subset of R n ; the space BV ( of real functions of bounded variation is the space of the functions u L ( whose distributional derivative is representable by a measure R n -valued measure Du on. We denote by S u the approximate discontinuity set of u and by J u the set of approximate jump points of u. For a function u BV ( let Du = D a u + D s u be the (Lebesgue decomposition of Du into absolutely continuous and singular part. We denote by u the density of D a u; the measures D j u := D s u J u, D c u := D s u ( \ S u are called the jump part and the Cantor part of the derivative, respectively. We say that a function u BV ( is a special function of bounded variation (u SBV ( if D c u ( = 0; moreover we say that a function u L ( is
3 n approximation for the Mumford-Shah functional 239 a generalized special function of bounded variation (u GSBV ( if u T := ( T u T belongs to SBV ( for every T 0. If u GSBV (, the function u given by u = u T for L n -a.e. on { u T } turns out to be well-defined. Moreover, the set function T S u T is monotone increasing; therefore, we set S u = T>0 S u T. Supremum of measures. We recall the following useful result from measure theory, which can be found in [4]. Lemma 2. (supremum of measures Let be an open subset of R n and denote by ( the family of its open subsets. Let λ be a positive Borel measure on, and μ: ( [0, + a set function which is superadditive on open sets with disjoint compact closures (i.e. if, B and B =, then μ( B μ( +μ(b. Let (ψ i i I be a family of positive Borel functions. Suppose that μ( ψ i dλ for every ( and i I; then μ( 3 Main Results sup ψ i dλ i for every (. Let R n be a bounded open set with Lipschitz boundary, and consider the family (F >0 of non-local functionals L ( [0, + ] given by f ( u dy dx if u W, ( B F (u = (x (3 + otherwise, where f :[0, + [0, + is requested to satisfy the following conditions: ( for every >0, f is a non-decreasing continuous function with f (0 = 0; moreover, there exists a > 0 such that a 0as 0 and f is concave in (a, +. (2 f (t lim =. (,t (0,0 t 2 (3 f f uniformly on the compact subsets of (0, +, where f(t =f > 0 is a constant function. possibile choice for f is f (t =(t 2 / f.
4 240 L. Lussardi Remark 3. Let δ (0, ; by(2 there exists t δ > 0 and δ > 0 such that f (t ( + δt 2 / for any 0 t t δ and 0 δ. Since φ(t =t 2 is convex and f is concave in (a, +, with a 0, we get f (t ( + δt 2 / for any t 0 and sufficiently small. Then f (t/ ( + δt 2 for any t 0. The main result is the following convergence result. Theorem 3.2 Let (F >0 be as in (3, with f satisfying conditions (- (2-(3. Then (F Γ-converges, w.r.t. the strong L -topology, as 0, to F : L ( [0, + ] given by u 2 dx +2f H n (S u if u GSBV ( F(u = + otherwise. Moreover we have a compactness property: Theorem 3.3 (compactness Let ( j be a positive infinitesimal sequence and let (u j be a sequence in L ( such that u j M, and F j (u j M for a suitable constant M independent of j; then there exists a subsequence (u jk converging in L ( to a function u SBV (. For the sequel we will need a localization of F : for every open subset of, we set f ( u dy dx if u W, ( B F (u, = (x + otherwise. Clearly, F (, coincides with the functional F defined in (3. The lower and upper Γ-limits of ( F (, will be denoted by F (, and F (,, respectively. 4 Lower bound and compactness Theorem 4. For any u GSBV ( and for any open subset of F (u, u 2 dx +2f H n (S u. Proof. Step. First we show that F (u, u 2 dx +2f H n (S u, u SBV (.
5 n approximation for the Mumford-Shah functional 24 Fix δ (0,, T>0and η>0 small; consider the family (g >0 given by ( t g (t =( δφ T if 0 t< and g (t = { ( δ [ ( ( φ T +(φ T (t ]} (f η if t, with φ T (t =t 2 if 0 t<t and φ T (t =2Tt T 2 if t T. The function g depends on, δ, T and η, but, for simplicity, we drop the dependence by δ, T and η. By(2 there exists t δ > 0 such that, for sufficiently small, f (t ( δφ T (t/ whenever 0 t t δ ; from convexity of φ T and from uniform convergence of f on compact subsets of (0, + we get f g, for sufficiently small. Thus: ( for every >0, g is a non-decreasing continuous function with g (0 = 0; moreover, there exists a > 0(a = such that a 0as 0 and g is concave in (a, +. g (t (2 lim (,t (0,0 ( δφ T (t/ =. Moreover it turns out that, denoting by g(t = 2( δtt (f η, (3 g g uniformly on the compact subsets of [0, +. (4 There exists L>0 such that g (s g (t L s t, s, t > 0. Then, since F (u, g ( B (x u dy dx, u W, (, (4 we get, by Theorem 3. in [3], F (u, ( δ φ T ( u dx +2 for all u BV (, where ϑ(x, t =g ( ωn ω n S u + 2( δt D c u ( 0 ϑ(x, t dt dh n (x u + (x u (x ( t 2 n.
6 242 L. Lussardi By arbitrariness of δ (0, we have F (u, φ T ( u dx +2 ϑ(x, t dt dh n (x (S u [0,] +2T D c u (. (5 s sup φ T (t =t 2 and sup[tt(f η] = f, for t>0, by Lemma 2. we T T,η obtain F (u, u 2 dx +2 f dt dh n (x (S u [0,] = u 2 dx +2f H n (S u. Step 2. Let u GSBV (, and T > 0. By definition, u T SBV ( and u u T. Thus for every sequence u j u in L ( we get F (u, lim inf j + F j (u T j. By Step, asut j ut in L (, we obtain F (u, u T 2 dx +2f H n (S u T. By taking the limit as T + and recalling the definition of u and S u we conclude. Proof of Theorem 3.3. Let ( j be a positive infinitesimal sequence and let (u j be a sequence in L ( such that u j M, and F j (u j M for a suitable constant M independent of j. Then by (4 and by compactness Theorem 3.2 in [3], there exists a subsequence (u jk converging to u BV (. Suppose D c u ( 0; then, by taking the limit as T + in (5, F (u would be +, which contradicts F j (u j M. Thus D c u ( = 0 and then u SBV (. 5 Upper bound In this last section we conclude the proof of Theorem 3.2. s usual, first we will take into account a suitable dense subset of SBV (: let W( be the space of all functions w SBV ( satisfying the following properties: i H n (S w \ S w =0; ii S w is the intersection of with the union of a finite member of (n - dimensional simplexes; iii w W k, ( \ S w for every k N
7 n approximation for the Mumford-Shah functional 243 where SBV 2 ( = {u SBV ( : u L 2 (, H n (S u < + }. In [8] the density property of W( in SBV ( is proved. More precisely: Theorem 5. ssume that is Lipschitz. Let u SBV 2 ( L (. Then there exists a sequence (w j in W( such that w j u strongly in L (, w j u strongly in L 2 (, R n, lim sup h w j u and lim sup φ(w j +,w j,ν w j dh n φ(u +,u,ν u dh n j + S wj S u for every upper semicontinuous function φ such that φ(a, b, ν =φ(b, a, ν whenever a, b R and ν S n. Theorem 5.2 Let u GSBV (; then F (u u 2 dx +2f H n (S u. Proof. Since the upper Γ-limit of F coincides with the upper Γ-limit of the relaxed functional F, we get F (u lim sup 0 F (u. It can be easily seen (see [5], Proposition 3.6 that, for >0 fixed, we have F (u = ( f B (x Du (B (x dx. (6 Step. First we consider the case u W(. Let S = {x :d(x, S u <}; then we can split F as follows: F (u = ( f \S B (x Du (B (x dx + ( B (x Du (B (x dx. S f Since u W, ( \ S, the first integral becomes ( u dy dx f ( \S f Moreover since B (x B (x u dy u(x B (x u dy dx. a.e. x, by (2 and from the dominated convergence Theorem (see Remark 3. we get f ( u dy dx u 2 dx. B (x
8 244 L. Lussardi We estimate now the second integral ( B (x Du (B (x S f Let η>0 small; by uniform convergence of f on compact subsets of (0, + and by monotonicity property of f, for sufficiently small ti holds f (t f + η, for any t 0. Thus S f ( B (x Du (B (x dx. dx S (f + η. Since S u is the union of (n -dimensional simplexes, by standard results on Minkowsky content we have S /2 H n (S u, and then S (f + η 2(f + ηh n (S u. We conclude by arbitrariness of η. Step 2. In the case u SBV 2 ( L ( the thesis descends from Theorem 5. and from lower semicontinuity of F. Finally it is easy to conclude by truncation arguments and again by lower semicontinuity of F. References [] L. mbrosio and V.M. Tortorelli, pproximation of functionals depending on jumps by elliptic functionals via Γ-convergence, Comm. Pure ppl. Math., XLIII (990, [2] L. mbrosio, N. Fusco, and D. Pallara, Functions of Bounded Variation and Free Discontinuity Problems, Oxford University Press, [3] L. mbrosio and V.M. Tortorelli, On the approximation of free discontinuity problems, Boll. Un. Mat. Ital. B (7, VI( (992, [4]. Braides, pproximation of free-discontinuity problems, volume 694 of Lecture Notes in Mathematics, Springer Verlag, Berlin, 998. [5]. Braides and G. Dal Maso, Non-local approximation of the Mumford- Shah functional, Calc. Var., 5( (997, [6]. Braides and. Garroni, On the non-local approximation of freediscontinuity problems, Comm. Partial Differential Equations, 23(5-6 (998,
9 n approximation for the Mumford-Shah functional 245 [7] G. Cortesani, Sequence of non-local functionals which approximate freediscontinuity problems, rch. Rational Mech.nal, 44 (998, [8] G. Cortesani and R. Toader, density result in SBV with respect to non-isotropic energies, Nonlinear nal., 38(5 (999, [9] G. Cortesani and R. Toader, Finite element approximation of nonisotropic free-discontinuity problems, Numer. Funct. nal. Optim., 8(9-0 (997, [0] G. Cortesani and R. Toader, Nonlocal approximation of nonisotropic freediscontinuity problems, SIM J. ppl. Math., 59(4 (999, [] E. De Giorgi, Free discontinuity problems in calculus of variations, Frontiers in pure and applied mathematics. collection of papers dedicated to Jacques-Louis Lions on the occasion of his sixtieth birthday, 55-62, North-Holland Publishing Co, msterdam, 99. [2] M. Gobbino, Finite difference approximation of the Mumford-Shah functional, Comm. Pure ppl. Math., 5 (998, [3] L. Lussardi, On the variational approximation of free-discontinuity functionals, submitted paper, (2007,. [4] L. Lussardi and E. Vitali, Non-local approximation of free-discontinuity functionals with linear growth: the one-dimensional case, nn. Mat. Pura e ppl., 86(4 (2007, [5] L. Lussardi and E. Vitali, Non-local approximation of free-discontinuity problems with linear growth, ESIM: Control. Optim. and Calc. of Var., 3( (2007, Received: May, 2007
MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES
MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES Contents 1. Random variables and measurable functions 2. Cumulative distribution functions 3. Discrete
More information1 if 1 x 0 1 if 0 x 1
Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or
More informationThe Henstock-Kurzweil-Stieltjes type integral for real functions on a fractal subset of the real line
The Henstock-Kurzweil-Stieltjes type integral for real functions on a fractal subset of the real line D. Bongiorno, G. Corrao Dipartimento di Ingegneria lettrica, lettronica e delle Telecomunicazioni,
More informationA PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS. In memory of Rou-Huai Wang
A PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS XAVIER CABRÉ, MANEL SANCHÓN, AND JOEL SPRUCK In memory of Rou-Huai Wang 1. Introduction In this note we consider semistable
More informationCONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian. Pasquale Candito and Giuseppina D Aguí
Opuscula Math. 34 no. 4 2014 683 690 http://dx.doi.org/10.7494/opmath.2014.34.4.683 Opuscula Mathematica CONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian Pasquale
More informationINDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS
INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS STEVEN P. LALLEY AND ANDREW NOBEL Abstract. It is shown that there are no consistent decision rules for the hypothesis testing problem
More informationNo: 10 04. Bilkent University. Monotonic Extension. Farhad Husseinov. Discussion Papers. Department of Economics
No: 10 04 Bilkent University Monotonic Extension Farhad Husseinov Discussion Papers Department of Economics The Discussion Papers of the Department of Economics are intended to make the initial results
More informationShape Optimization Problems over Classes of Convex Domains
Shape Optimization Problems over Classes of Convex Domains Giuseppe BUTTAZZO Dipartimento di Matematica Via Buonarroti, 2 56127 PISA ITALY e-mail: buttazzo@sab.sns.it Paolo GUASONI Scuola Normale Superiore
More informationProperties of BMO functions whose reciprocals are also BMO
Properties of BMO functions whose reciprocals are also BMO R. L. Johnson and C. J. Neugebauer The main result says that a non-negative BMO-function w, whose reciprocal is also in BMO, belongs to p> A p,and
More informationand s n (x) f(x) for all x and s.t. s n is measurable if f is. REAL ANALYSIS Measures. A (positive) measure on a measurable space
RAL ANALYSIS A survey of MA 641-643, UAB 1999-2000 M. Griesemer Throughout these notes m denotes Lebesgue measure. 1. Abstract Integration σ-algebras. A σ-algebra in X is a non-empty collection of subsets
More informationSeparation Properties for Locally Convex Cones
Journal of Convex Analysis Volume 9 (2002), No. 1, 301 307 Separation Properties for Locally Convex Cones Walter Roth Department of Mathematics, Universiti Brunei Darussalam, Gadong BE1410, Brunei Darussalam
More informationBANACH AND HILBERT SPACE REVIEW
BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but
More informationFuzzy Differential Systems and the New Concept of Stability
Nonlinear Dynamics and Systems Theory, 1(2) (2001) 111 119 Fuzzy Differential Systems and the New Concept of Stability V. Lakshmikantham 1 and S. Leela 2 1 Department of Mathematical Sciences, Florida
More informationSOLUTIONS TO ASSIGNMENT 1 MATH 576
SOLUTIONS TO ASSIGNMENT 1 MATH 576 SOLUTIONS BY OLIVIER MARTIN 13 #5. Let T be the topology generated by A on X. We want to show T = J B J where B is the set of all topologies J on X with A J. This amounts
More information1. Prove that the empty set is a subset of every set.
1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since
More informationON COMPLETELY CONTINUOUS INTEGRATION OPERATORS OF A VECTOR MEASURE. 1. Introduction
ON COMPLETELY CONTINUOUS INTEGRATION OPERATORS OF A VECTOR MEASURE J.M. CALABUIG, J. RODRÍGUEZ, AND E.A. SÁNCHEZ-PÉREZ Abstract. Let m be a vector measure taking values in a Banach space X. We prove that
More informationNotes on metric spaces
Notes on metric spaces 1 Introduction The purpose of these notes is to quickly review some of the basic concepts from Real Analysis, Metric Spaces and some related results that will be used in this course.
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationAn example of a computable
An example of a computable absolutely normal number Verónica Becher Santiago Figueira Abstract The first example of an absolutely normal number was given by Sierpinski in 96, twenty years before the concept
More informationDuality of linear conic problems
Duality of linear conic problems Alexander Shapiro and Arkadi Nemirovski Abstract It is well known that the optimal values of a linear programming problem and its dual are equal to each other if at least
More informationGeometrical Characterization of RN-operators between Locally Convex Vector Spaces
Geometrical Characterization of RN-operators between Locally Convex Vector Spaces OLEG REINOV St. Petersburg State University Dept. of Mathematics and Mechanics Universitetskii pr. 28, 198504 St, Petersburg
More informationMathematical Methods of Engineering Analysis
Mathematical Methods of Engineering Analysis Erhan Çinlar Robert J. Vanderbei February 2, 2000 Contents Sets and Functions 1 1 Sets................................... 1 Subsets.............................
More informationHow To Find Out How To Calculate A Premeasure On A Set Of Two-Dimensional Algebra
54 CHAPTER 5 Product Measures Given two measure spaces, we may construct a natural measure on their Cartesian product; the prototype is the construction of Lebesgue measure on R 2 as the product of Lebesgue
More informationTHE BANACH CONTRACTION PRINCIPLE. Contents
THE BANACH CONTRACTION PRINCIPLE ALEX PONIECKI Abstract. This paper will study contractions of metric spaces. To do this, we will mainly use tools from topology. We will give some examples of contractions,
More informationMathematics for Econometrics, Fourth Edition
Mathematics for Econometrics, Fourth Edition Phoebus J. Dhrymes 1 July 2012 1 c Phoebus J. Dhrymes, 2012. Preliminary material; not to be cited or disseminated without the author s permission. 2 Contents
More informationSOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 3. Spaces with special properties
SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 3 Fall 2008 III. Spaces with special properties III.1 : Compact spaces I Problems from Munkres, 26, pp. 170 172 3. Show that a finite union of compact subspaces
More informationFurther Study on Strong Lagrangian Duality Property for Invex Programs via Penalty Functions 1
Further Study on Strong Lagrangian Duality Property for Invex Programs via Penalty Functions 1 J. Zhang Institute of Applied Mathematics, Chongqing University of Posts and Telecommunications, Chongqing
More informationUndergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics
Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights
More informationAn optimal transportation problem with import/export taxes on the boundary
An optimal transportation problem with import/export taxes on the boundary Julián Toledo Workshop International sur les Mathématiques et l Environnement Essaouira, November 2012..................... Joint
More information1 Norms and Vector Spaces
008.10.07.01 1 Norms and Vector Spaces Suppose we have a complex vector space V. A norm is a function f : V R which satisfies (i) f(x) 0 for all x V (ii) f(x + y) f(x) + f(y) for all x,y V (iii) f(λx)
More informationA new continuous dependence result for impulsive retarded functional differential equations
CADERNOS DE MATEMÁTICA 11, 37 47 May (2010) ARTIGO NÚMERO SMA#324 A new continuous dependence result for impulsive retarded functional differential equations M. Federson * Instituto de Ciências Matemáticas
More informationMetric Spaces Joseph Muscat 2003 (Last revised May 2009)
1 Distance J Muscat 1 Metric Spaces Joseph Muscat 2003 (Last revised May 2009) (A revised and expanded version of these notes are now published by Springer.) 1 Distance A metric space can be thought of
More informationA SURGERY RESULT FOR THE SPECTRUM OF THE DIRICHLET LAPLACIAN. Keywords: shape optimization, eigenvalues, Dirichlet Laplacian
A SURGERY RESULT FOR THE SPECTRUM OF THE DIRICHLET LAPLACIA DORI BUCUR AD DARIO MAZZOLEI Abstract. In this paper we give a method to geometrically modify an open set such that the first k eigenvalues of
More informationResearch Article Stability Analysis for Higher-Order Adjacent Derivative in Parametrized Vector Optimization
Hindawi Publishing Corporation Journal of Inequalities and Applications Volume 2010, Article ID 510838, 15 pages doi:10.1155/2010/510838 Research Article Stability Analysis for Higher-Order Adjacent Derivative
More informationFollow links for Class Use and other Permissions. For more information send email to: permissions@pupress.princeton.edu
COPYRIGHT NOTICE: Ariel Rubinstein: Lecture Notes in Microeconomic Theory is published by Princeton University Press and copyrighted, c 2006, by Princeton University Press. All rights reserved. No part
More informationKATO S INEQUALITY UP TO THE BOUNDARY. Contents 1. Introduction 1 2. Properties of functions in X 4 3. Proof of Theorem 1.1 6 4.
KATO S INEQUALITY UP TO THE BOUNDARY HAÏM BREZIS(1),(2) AND AUGUSTO C. PONCE (3) Abstract. We show that if u is a finite measure in then, under suitable assumptions on u near, u + is also a finite measure
More informationLecture Notes on Measure Theory and Functional Analysis
Lecture Notes on Measure Theory and Functional Analysis P. Cannarsa & T. D Aprile Dipartimento di Matematica Università di Roma Tor Vergata cannarsa@mat.uniroma2.it daprile@mat.uniroma2.it aa 2006/07 Contents
More informationExtremal equilibria for reaction diffusion equations in bounded domains and applications.
Extremal equilibria for reaction diffusion equations in bounded domains and applications. Aníbal Rodríguez-Bernal Alejandro Vidal-López Departamento de Matemática Aplicada Universidad Complutense de Madrid,
More informationON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION. E. I. Pancheva, A. Gacovska-Barandovska
Pliska Stud. Math. Bulgar. 22 (2015), STUDIA MATHEMATICA BULGARICA ON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION E. I. Pancheva, A. Gacovska-Barandovska Smirnov (1949) derived four
More information0 <β 1 let u(x) u(y) kuk u := sup u(x) and [u] β := sup
456 BRUCE K. DRIVER 24. Hölder Spaces Notation 24.1. Let Ω be an open subset of R d,bc(ω) and BC( Ω) be the bounded continuous functions on Ω and Ω respectively. By identifying f BC( Ω) with f Ω BC(Ω),
More information9 More on differentiation
Tel Aviv University, 2013 Measure and category 75 9 More on differentiation 9a Finite Taylor expansion............... 75 9b Continuous and nowhere differentiable..... 78 9c Differentiable and nowhere monotone......
More informationMetric Spaces. Chapter 7. 7.1. Metrics
Chapter 7 Metric Spaces A metric space is a set X that has a notion of the distance d(x, y) between every pair of points x, y X. The purpose of this chapter is to introduce metric spaces and give some
More informationCHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e.
CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. This chapter contains the beginnings of the most important, and probably the most subtle, notion in mathematical analysis, i.e.,
More informationIntroduction to Topology
Introduction to Topology Tomoo Matsumura November 30, 2010 Contents 1 Topological spaces 3 1.1 Basis of a Topology......................................... 3 1.2 Comparing Topologies.......................................
More informationWalrasian Demand. u(x) where B(p, w) = {x R n + : p x w}.
Walrasian Demand Econ 2100 Fall 2015 Lecture 5, September 16 Outline 1 Walrasian Demand 2 Properties of Walrasian Demand 3 An Optimization Recipe 4 First and Second Order Conditions Definition Walrasian
More informationON SEQUENTIAL CONTINUITY OF COMPOSITION MAPPING. 0. Introduction
ON SEQUENTIAL CONTINUITY OF COMPOSITION MAPPING Abstract. In [1] there was proved a theorem concerning the continuity of the composition mapping, and there was announced a theorem on sequential continuity
More informationRelatively dense sets, corrected uniformly almost periodic functions on time scales, and generalizations
Wang and Agarwal Advances in Difference Equations (2015) 2015:312 DOI 10.1186/s13662-015-0650-0 R E S E A R C H Open Access Relatively dense sets, corrected uniformly almost periodic functions on time
More informationVariational approach to restore point-like and curve-like singularities in imaging
Variational approach to restore point-like and curve-like singularities in imaging Daniele Graziani joint work with Gilles Aubert and Laure Blanc-Féraud Roma 12/06/2012 Daniele Graziani (Roma) 12/06/2012
More informationConvex analysis and profit/cost/support functions
CALIFORNIA INSTITUTE OF TECHNOLOGY Division of the Humanities and Social Sciences Convex analysis and profit/cost/support functions KC Border October 2004 Revised January 2009 Let A be a subset of R m
More informationNotes V General Equilibrium: Positive Theory. 1 Walrasian Equilibrium and Excess Demand
Notes V General Equilibrium: Positive Theory In this lecture we go on considering a general equilibrium model of a private ownership economy. In contrast to the Notes IV, we focus on positive issues such
More informationMEASURE AND INTEGRATION. Dietmar A. Salamon ETH Zürich
MEASURE AND INTEGRATION Dietmar A. Salamon ETH Zürich 12 May 2016 ii Preface This book is based on notes for the lecture course Measure and Integration held at ETH Zürich in the spring semester 2014. Prerequisites
More informationMA651 Topology. Lecture 6. Separation Axioms.
MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples
More informationBasic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011
Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 A. Miller 1. Introduction. The definitions of metric space and topological space were developed in the early 1900 s, largely
More informationMetric Spaces. Chapter 1
Chapter 1 Metric Spaces Many of the arguments you have seen in several variable calculus are almost identical to the corresponding arguments in one variable calculus, especially arguments concerning convergence
More informationON NONNEGATIVE SOLUTIONS OF NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS FOR TWO-DIMENSIONAL DIFFERENTIAL SYSTEMS WITH ADVANCED ARGUMENTS
ON NONNEGATIVE SOLUTIONS OF NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS FOR TWO-DIMENSIONAL DIFFERENTIAL SYSTEMS WITH ADVANCED ARGUMENTS I. KIGURADZE AND N. PARTSVANIA A. Razmadze Mathematical Institute
More informationx a x 2 (1 + x 2 ) n.
Limits and continuity Suppose that we have a function f : R R. Let a R. We say that f(x) tends to the limit l as x tends to a; lim f(x) = l ; x a if, given any real number ɛ > 0, there exists a real number
More informationUNIVERSITETET I OSLO
NIVERSITETET I OSLO Det matematisk-naturvitenskapelige fakultet Examination in: Trial exam Partial differential equations and Sobolev spaces I. Day of examination: November 18. 2009. Examination hours:
More informationClass Meeting # 1: Introduction to PDEs
MATH 18.152 COURSE NOTES - CLASS MEETING # 1 18.152 Introduction to PDEs, Fall 2011 Professor: Jared Speck Class Meeting # 1: Introduction to PDEs 1. What is a PDE? We will be studying functions u = u(x
More informationFixed Point Theorems
Fixed Point Theorems Definition: Let X be a set and let T : X X be a function that maps X into itself. (Such a function is often called an operator, a transformation, or a transform on X, and the notation
More informationExistence for some vectorial elliptic problems with measure data **)
Riv. Mat. Univ. Parma 7) 5 006), -46 F RANCESCO L EONETTI and P IER INCENZO P ETRICCA *) Existence for some vectorial elliptic problems with measure data **) - Introduction The study of elliptic boundary
More informationALMOST COMMON PRIORS 1. INTRODUCTION
ALMOST COMMON PRIORS ZIV HELLMAN ABSTRACT. What happens when priors are not common? We introduce a measure for how far a type space is from having a common prior, which we term prior distance. If a type
More informationReference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3.
5 Potential Theory Reference: Introduction to Partial Differential Equations by G. Folland, 995, Chap. 3. 5. Problems of Interest. In what follows, we consider Ω an open, bounded subset of R n with C 2
More informationRandom graphs with a given degree sequence
Sourav Chatterjee (NYU) Persi Diaconis (Stanford) Allan Sly (Microsoft) Let G be an undirected simple graph on n vertices. Let d 1,..., d n be the degrees of the vertices of G arranged in descending order.
More informationQuasi Contraction and Fixed Points
Available online at www.ispacs.com/jnaa Volume 2012, Year 2012 Article ID jnaa-00168, 6 Pages doi:10.5899/2012/jnaa-00168 Research Article Quasi Contraction and Fixed Points Mehdi Roohi 1, Mohsen Alimohammady
More informationarxiv:1502.06681v2 [q-fin.mf] 26 Feb 2015
ARBITRAGE, HEDGING AND UTILITY MAXIMIZATION USING SEMI-STATIC TRADING STRATEGIES WITH AMERICAN OPTIONS ERHAN BAYRAKTAR AND ZHOU ZHOU arxiv:1502.06681v2 [q-fin.mf] 26 Feb 2015 Abstract. We consider a financial
More informationPacific Journal of Mathematics
Pacific Journal of Mathematics GLOBAL EXISTENCE AND DECREASING PROPERTY OF BOUNDARY VALUES OF SOLUTIONS TO PARABOLIC EQUATIONS WITH NONLOCAL BOUNDARY CONDITIONS Sangwon Seo Volume 193 No. 1 March 2000
More informationLECTURE NOTES IN MEASURE THEORY. Christer Borell Matematik Chalmers och Göteborgs universitet 412 96 Göteborg (Version: January 12)
1 LECTURE NOTES IN MEASURE THEORY Christer Borell Matematik Chalmers och Göteborgs universitet 412 96 Göteborg (Version: January 12) 2 PREFACE These are lecture notes on integration theory for a eight-week
More informationTOPIC 4: DERIVATIVES
TOPIC 4: DERIVATIVES 1. The derivative of a function. Differentiation rules 1.1. The slope of a curve. The slope of a curve at a point P is a measure of the steepness of the curve. If Q is a point on the
More informationGambling Systems and Multiplication-Invariant Measures
Gambling Systems and Multiplication-Invariant Measures by Jeffrey S. Rosenthal* and Peter O. Schwartz** (May 28, 997.. Introduction. This short paper describes a surprising connection between two previously
More informationAdaptive Online Gradient Descent
Adaptive Online Gradient Descent Peter L Bartlett Division of Computer Science Department of Statistics UC Berkeley Berkeley, CA 94709 bartlett@csberkeleyedu Elad Hazan IBM Almaden Research Center 650
More informationn k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n + 1 +...
6 Series We call a normed space (X, ) a Banach space provided that every Cauchy sequence (x n ) in X converges. For example, R with the norm = is an example of Banach space. Now let (x n ) be a sequence
More informationAdvanced Microeconomics
Advanced Microeconomics Ordinal preference theory Harald Wiese University of Leipzig Harald Wiese (University of Leipzig) Advanced Microeconomics 1 / 68 Part A. Basic decision and preference theory 1 Decisions
More informationCURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC. 1. Introduction
Acta Math. Univ. Comenianae Vol. LXXXI, 1 (2012), pp. 71 77 71 CURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC E. BALLICO Abstract. Here we study (in positive characteristic) integral curves
More informationSome remarks on Phragmén-Lindelöf theorems for weak solutions of the stationary Schrödinger operator
Wan Boundary Value Problems (2015) 2015:239 DOI 10.1186/s13661-015-0508-0 R E S E A R C H Open Access Some remarks on Phragmén-Lindelöf theorems for weak solutions of the stationary Schrödinger operator
More informationTHE SQUARE PARTIAL SUMS OF THE FOURIER TRANSFORM OF RADIAL FUNCTIONS IN THREE DIMENSIONS
Scientiae Mathematicae Japonicae Online, Vol. 5,, 9 9 9 THE SQUARE PARTIAL SUMS OF THE FOURIER TRANSFORM OF RADIAL FUNCTIONS IN THREE DIMENSIONS CHIKAKO HARADA AND EIICHI NAKAI Received May 4, ; revised
More informationON FIBER DIAMETERS OF CONTINUOUS MAPS
ON FIBER DIAMETERS OF CONTINUOUS MAPS PETER S. LANDWEBER, EMANUEL A. LAZAR, AND NEEL PATEL Abstract. We present a surprisingly short proof that for any continuous map f : R n R m, if n > m, then there
More informationTHE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS
THE FUNDAMENTAL THEOREM OF ALGEBRA VIA PROPER MAPS KEITH CONRAD 1. Introduction The Fundamental Theorem of Algebra says every nonconstant polynomial with complex coefficients can be factored into linear
More informationFuzzy Probability Distributions in Bayesian Analysis
Fuzzy Probability Distributions in Bayesian Analysis Reinhard Viertl and Owat Sunanta Department of Statistics and Probability Theory Vienna University of Technology, Vienna, Austria Corresponding author:
More informationExtension of measure
1 Extension of measure Sayan Mukherjee Dynkin s π λ theorem We will soon need to define probability measures on infinite and possible uncountable sets, like the power set of the naturals. This is hard.
More informationSome other convex-valued selection theorems 147 (2) Every lower semicontinuous mapping F : X! IR such that for every x 2 X, F (x) is either convex and
PART B: RESULTS x1. CHARACTERIZATION OF NORMALITY- TYPE PROPERTIES 1. Some other convex-valued selection theorems In this section all multivalued mappings are assumed to have convex values in some Banach
More information2.3 Convex Constrained Optimization Problems
42 CHAPTER 2. FUNDAMENTAL CONCEPTS IN CONVEX OPTIMIZATION Theorem 15 Let f : R n R and h : R R. Consider g(x) = h(f(x)) for all x R n. The function g is convex if either of the following two conditions
More informationQuasi-static evolution and congested transport
Quasi-static evolution and congested transport Inwon Kim Joint with Damon Alexander, Katy Craig and Yao Yao UCLA, UW Madison Hard congestion in crowd motion The following crowd motion model is proposed
More informationINTEGRAL OPERATORS ON THE PRODUCT OF C(K) SPACES
INTEGRAL OPERATORS ON THE PRODUCT OF C(K) SPACES FERNANDO BOMBAL AND IGNACIO VILLANUEVA Abstract. We study and characterize the integral multilinear operators on a product of C(K) spaces in terms of the
More informationMax-Min Representation of Piecewise Linear Functions
Beiträge zur Algebra und Geometrie Contributions to Algebra and Geometry Volume 43 (2002), No. 1, 297-302. Max-Min Representation of Piecewise Linear Functions Sergei Ovchinnikov Mathematics Department,
More informationTHE CENTRAL LIMIT THEOREM TORONTO
THE CENTRAL LIMIT THEOREM DANIEL RÜDT UNIVERSITY OF TORONTO MARCH, 2010 Contents 1 Introduction 1 2 Mathematical Background 3 3 The Central Limit Theorem 4 4 Examples 4 4.1 Roulette......................................
More informationSensitivity analysis of utility based prices and risk-tolerance wealth processes
Sensitivity analysis of utility based prices and risk-tolerance wealth processes Dmitry Kramkov, Carnegie Mellon University Based on a paper with Mihai Sirbu from Columbia University Math Finance Seminar,
More informationHow To Prove The Dirichlet Unit Theorem
Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if
More informationFIRST YEAR CALCULUS. Chapter 7 CONTINUITY. It is a parabola, and we can draw this parabola without lifting our pencil from the paper.
FIRST YEAR CALCULUS WWLCHENW L c WWWL W L Chen, 1982, 2008. 2006. This chapter originates from material used by the author at Imperial College, University of London, between 1981 and 1990. It It is is
More informationPSEUDOARCS, PSEUDOCIRCLES, LAKES OF WADA AND GENERIC MAPS ON S 2
PSEUDOARCS, PSEUDOCIRCLES, LAKES OF WADA AND GENERIC MAPS ON S 2 Abstract. We prove a Bruckner-Garg type theorem for the fiber structure of a generic map from a continuum X into the unit interval I. We
More informationA UNIQUENESS RESULT FOR THE CONTINUITY EQUATION IN TWO DIMENSIONS. Dedicated to Constantine Dafermos on the occasion of his 70 th birthday
A UNIQUENESS RESULT FOR THE CONTINUITY EQUATION IN TWO DIMENSIONS GIOVANNI ALBERTI, STEFANO BIANCHINI, AND GIANLUCA CRIPPA Dedicated to Constantine Dafermos on the occasion of his 7 th birthday Abstract.
More informationNumerical Verification of Optimality Conditions in Optimal Control Problems
Numerical Verification of Optimality Conditions in Optimal Control Problems Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Julius-Maximilians-Universität Würzburg vorgelegt von
More informationThe sum of digits of polynomial values in arithmetic progressions
The sum of digits of polynomial values in arithmetic progressions Thomas Stoll Institut de Mathématiques de Luminy, Université de la Méditerranée, 13288 Marseille Cedex 9, France E-mail: stoll@iml.univ-mrs.fr
More informationRate of convergence towards Hartree dynamics
Rate of convergence towards Hartree dynamics Benjamin Schlein, LMU München and University of Cambridge Universitá di Milano Bicocca, October 22, 2007 Joint work with I. Rodnianski 1. Introduction boson
More informationGrey Brownian motion and local times
Grey Brownian motion and local times José Luís da Silva 1,2 (Joint work with: M. Erraoui 3 ) 2 CCM - Centro de Ciências Matemáticas, University of Madeira, Portugal 3 University Cadi Ayyad, Faculty of
More informationOn characterization of a class of convex operators for pricing insurance risks
On characterization of a class of convex operators for pricing insurance risks Marta Cardin Dept. of Applied Mathematics University of Venice e-mail: mcardin@unive.it Graziella Pacelli Dept. of of Social
More informationThe Ideal Class Group
Chapter 5 The Ideal Class Group We will use Minkowski theory, which belongs to the general area of geometry of numbers, to gain insight into the ideal class group of a number field. We have already mentioned
More informationMultiplicative Relaxation with respect to Thompson s Metric
Revista Colombiana de Matemáticas Volumen 48(2042, páginas 2-27 Multiplicative Relaxation with respect to Thompson s Metric Relajamiento multiplicativo con respecto a la métrica de Thompson Gerd Herzog
More informationLimits and Continuity
Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function
More information1 Local Brouwer degree
1 Local Brouwer degree Let D R n be an open set and f : S R n be continuous, D S and c R n. Suppose that the set f 1 (c) D is compact. (1) Then the local Brouwer degree of f at c in the set D is defined.
More informationFUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES
FUNCTIONAL ANALYSIS LECTURE NOTES: QUOTIENT SPACES CHRISTOPHER HEIL 1. Cosets and the Quotient Space Any vector space is an abelian group under the operation of vector addition. So, if you are have studied
More information