MSC2020-Mathematical Sciences Classification System
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Density of Thin Film Billiard Reflection Pseudogroup in Hamiltonian Symplectomorphism Pseudogroup Alexey Glutsyuk
Density of thin film billiard reflection pseudogroup in Hamiltonian symplectomorphism pseudogroup Alexey Glutsyuk To cite this version: Alexey Glutsyuk. Density of thin film billiard reflection pseudogroup in Hamiltonian symplectomor- phism pseudogroup. 2020. hal-03026432v2 HAL Id: hal-03026432 https://hal.archives-ouvertes.fr/hal-03026432v2 Preprint submitted on 6 Dec 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Density of thin film billiard reflection pseudogroup in Hamiltonian symplectomorphism pseudogroup Alexey Glutsyuk∗yzx December 3, 2020 Abstract Reflections from hypersurfaces act by symplectomorphisms on the space of oriented lines with respect to the canonical symplectic form. We consider an arbitrary C1-smooth hypersurface γ ⊂ Rn+1 that is either a global strictly convex closed hypersurface, or a germ of hy- persurface. We deal with the pseudogroup generated by compositional ratios of reflections from γ and of reflections from its small deforma- tions. In the case, when γ is a global convex hypersurface, we show that the latter pseudogroup is dense in the pseudogroup of Hamiltonian diffeomorphisms between subdomains of the phase cylinder: the space of oriented lines intersecting γ transversally. We prove an analogous local result in the case, when γ is a germ. -
HKUST Newsletter-Genesis
World’s first smart coating - NEWSLETTER GENESIS to fight infectious diseases Issue 8 2O1O 全球首創智能塗層 有效控制傳染病 Aeronautics guru lands on HKUST – New Provost Prof Wei Shyy 航天專家科大著陸- 新首席副校長史維教授 Welcome 3-3-4 迎接三三四 目錄 C ontents President’s Message 校長的話 Physics professor awarded Croucher Fellowship 22 物理學系教授榮膺裘槎基金會優秀科研者 President’s Message 2 校長的話 Prof Wang Wenxiong of Biology awarded 23 First Class Prize by China’s Ministry of Education 生物系王文雄教授獲國家教育部優秀成果獎 Eureka! - Our Search & Research 一等獎 雄雞鳴 天下白―科研成果 香港―我們的家 HKUST develops world’s first smart anti-microbial Local 4 coating to control infectious diseases 科大研發全球首創智能殺菌塗層 有效控制傳染病 We are ready for 3-3-4 24 科大為迎接「三三四」作好準備 An out of this world solution to the 8 energy crisis: The moon holds the answer Legendary gymnast Dr Li Ning 月球的清潔能源可望解決地球能源危機 27 shares his dream at HKUST 與李寧博士對談:成功源自一個夢想 HKUST achieves breakthrough in wireless 10 technology to facilitate network traffic Chow Tai Fook Cheng Yu Tung Fund 科大無線通訊突破 有效管理網絡交通 28 donates $90 million to HKUST 科大喜獲周大福鄭裕彤基金捐贈九千萬元 HKUST develops hair-based drug testing 12 科大頭髮驗毒提供快而準的測試 CN Innovations Ltd donates $5 million 30 to HKUST to support applied research 中南創發有限公司捐贈五百萬元 The answer is in the genes: HKUST joins high- 助科大發展應用研究 14 powered global team to decode cancer genome 科大參與國際聯盟破解癌症基因 Honorary Fellowship Presentation Ceremony - 31 trio honored for dual achievement: doing good Raising the Bar 又上一層樓 while doing well 科大頒授榮譽院士 表揚社會貢獻 Celebrating our students’ outstanding 16 achievements 學生獲著名大學研究院錄取 師生同慶 National 祖國―我們的根 HKUST puts on great performance -
Geometric Manifolds
Wintersemester 2015/2016 University of Heidelberg Geometric Structures on Manifolds Geometric Manifolds by Stephan Schmitt Contents Introduction, first Definitions and Results 1 Manifolds - The Group way .................................... 1 Geometric Structures ........................................ 2 The Developing Map and Completeness 4 An introductory discussion of the torus ............................. 4 Definition of the Developing map ................................. 6 Developing map and Manifolds, Completeness 10 Developing Manifolds ....................................... 10 some completeness results ..................................... 10 Some selected results 11 Discrete Groups .......................................... 11 Stephan Schmitt INTRODUCTION, FIRST DEFINITIONS AND RESULTS Introduction, first Definitions and Results Manifolds - The Group way The keystone of working mathematically in Differential Geometry, is the basic notion of a Manifold, when we usually talk about Manifolds we mean a Topological Space that, at least locally, looks just like Euclidean Space. The usual formalization of that Concept is well known, we take charts to ’map out’ the Manifold, in this paper, for sake of Convenience we will take a slightly different approach to formalize the Concept of ’locally euclidean’, to formulate it, we need some tools, let us introduce them now: Definition 1.1. Pseudogroups A pseudogroup on a topological space X is a set G of homeomorphisms between open sets of X satisfying the following conditions: • The Domains of the elements g 2 G cover X • The restriction of an element g 2 G to any open set contained in its Domain is also in G. • The Composition g1 ◦ g2 of two elements of G, when defined, is in G • The inverse of an Element of G is in G. • The property of being in G is local, that is, if g : U ! V is a homeomorphism between open sets of X and U is covered by open sets Uα such that each restriction gjUα is in G, then g 2 G Definition 1.2. -
Generalizations of Euler Numbers and Polynomials 1
GENERALIZATIONS OF EULER NUMBERS AND POLYNOMIALS QIU-MING LUO AND FENG QI Abstract. In this paper, the concepts of Euler numbers and Euler polyno- mials are generalized, and some basic properties are investigated. 1. Introduction It is well-known that the Euler numbers and polynomials can be defined by the following definitions. Definition 1.1 ([1]). The Euler numbers Ek are defined by the following expansion t ∞ 2e X Ek = tk, |t| ≤ π. (1.1) e2t + 1 k! k=0 In [4, p. 5], the Euler numbers is defined by t/2 ∞ n 2n 2e t X (−1) En t = sech = , |t| ≤ π. (1.2) et + 1 2 (2n)! 2 n=0 Definition 1.2 ([1, 4]). The Euler polynomials Ek(x) for x ∈ R are defined by xt ∞ 2e X Ek(x) = tk, |t| ≤ π. (1.3) et + 1 k! k=0 It can also be shown that the polynomials Ei(t), i ∈ N, are uniquely determined by the following two properties 0 Ei(t) = iEi−1(t),E0(t) = 1; (1.4) i Ei(t + 1) + Ei(t) = 2t . (1.5) 2000 Mathematics Subject Classification. 11B68. Key words and phrases. Euler numbers, Euler polynomials, generalization. The authors were supported in part by NNSF (#10001016) of China, SF for the Prominent Youth of Henan Province, SF of Henan Innovation Talents at Universities, NSF of Henan Province (#004051800), Doctor Fund of Jiaozuo Institute of Technology, China. This paper was typeset using AMS-LATEX. 1 2 Q.-M. LUO AND F. QI Euler polynomials are related to the Bernoulli numbers. For information about Bernoulli numbers and polynomials, please refer to [1, 2, 3, 4]. -
500 Natural Sciences and Mathematics
500 500 Natural sciences and mathematics Natural sciences: sciences that deal with matter and energy, or with objects and processes observable in nature Class here interdisciplinary works on natural and applied sciences Class natural history in 508. Class scientific principles of a subject with the subject, plus notation 01 from Table 1, e.g., scientific principles of photography 770.1 For government policy on science, see 338.9; for applied sciences, see 600 See Manual at 231.7 vs. 213, 500, 576.8; also at 338.9 vs. 352.7, 500; also at 500 vs. 001 SUMMARY 500.2–.8 [Physical sciences, space sciences, groups of people] 501–509 Standard subdivisions and natural history 510 Mathematics 520 Astronomy and allied sciences 530 Physics 540 Chemistry and allied sciences 550 Earth sciences 560 Paleontology 570 Biology 580 Plants 590 Animals .2 Physical sciences For astronomy and allied sciences, see 520; for physics, see 530; for chemistry and allied sciences, see 540; for earth sciences, see 550 .5 Space sciences For astronomy, see 520; for earth sciences in other worlds, see 550. For space sciences aspects of a specific subject, see the subject, plus notation 091 from Table 1, e.g., chemical reactions in space 541.390919 See Manual at 520 vs. 500.5, 523.1, 530.1, 919.9 .8 Groups of people Add to base number 500.8 the numbers following —08 in notation 081–089 from Table 1, e.g., women in science 500.82 501 Philosophy and theory Class scientific method as a general research technique in 001.4; class scientific method applied in the natural sciences in 507.2 502 Miscellany 577 502 Dewey Decimal Classification 502 .8 Auxiliary techniques and procedures; apparatus, equipment, materials Including microscopy; microscopes; interdisciplinary works on microscopy Class stereology with compound microscopes, stereology with electron microscopes in 502; class interdisciplinary works on photomicrography in 778.3 For manufacture of microscopes, see 681. -
Fen Fakültesi Matematik Bölümü Y
İZMİR INSTITUTE OF TECHNOLOGY GRADUATE SCHOOL OF ENGINEERING AND SCIENCES DEPARTMENT OF MATHEMATICS CURRICULUM OF THE GRADUATE PROGRAMS M.S. in Mathematics (Thesis) Core Courses MATH 596 Graduate Seminar (0-2) NC AKTS:9 MATH 599 Scientific Research Techniques and Publication Ethics (0-2) NC AKTS:8 MATH 500 M.S. Thesis (0-1) NC AKTS:26 MATH 8XX Special Studies (8-0) NC AKTS:4 In addition, the following courses must be taken. MATH 515 Real Analysis (3-0)3 AKTS:8 MATH 527 Basic Abstract Algebra (3-0)3 AKTS:8 *All M.S. students must register Graduate Seminar course until the beginning of their 4th semester. Total credit (min.) :21 Number of courses with credit (min.) : 7 M.S. in Mathematics (Non-thesis) Core Courses MATH 516 Complex Analysis (3-0)3 AKTS:8 MATH 527 Basic Abstract Algebra (3-0)3 AKTS:8 MATH 533 Ordinary Differential Equations (3-0)3 AKTS:8 MATH 534 Partial Differential Equations (3-0)3 AKTS:8 MATH 573 Modern Geometry I (3-0)3 AKTS:8 MATH 595 Graduation Project (0-2) NC AKTS:5 MATH 596 Graduate Seminar (0-2) NC AKTS:9 MATH 599 Scientific Research Techniques and Publication Ethics (0-2) NC AKTS:8 Total credit (min.) :30 Number of courses with credit (min.) :10 Ph.D. in Mathematics Core Courses MATH 597 Comprehensive Studies (0-2) NC AKTS:9 MATH 598 Graduate Seminar in PhD (0-2) NC AKTS:9 MATH 599 Scientific Research Techniques and Publication Ethics* (0-2) NC AKTS:8 MATH 600 Ph.D. -
On Untouchable Numbers and Related Problems
ON UNTOUCHABLE NUMBERS AND RELATED PROBLEMS CARL POMERANCE AND HEE-SUNG YANG Abstract. In 1973, Erd˝os proved that a positive proportion of numbers are untouchable, that is, not of the form σ(n) n, the sum of the proper divisors of n. We investigate the analogous question where σ is− replaced with the sum-of-unitary-divisors function σ∗ (which sums divisors d of n such that (d, n/d) = 1), thus solving a problem of te Riele from 1976. We also describe a fast algorithm for enumerating untouchable numbers and their kin. 1. Introduction If f(n) is an arithmetic function with nonnegative integral values it is interesting to con- sider Vf (x), the number of integers 0 m x for which f(n) = m has a solution. That is, one might consider the distribution≤ of the≤ range of f within the nonnegative integers. For some functions f(n) this is easy, such as the function f(n) = n, where Vf (x) = x , or 2 ⌊ ⌋ f(n) = n , where Vf (x) = √x . For f(n) = ϕ(n), Euler’s ϕ-function, it was proved by ⌊ ⌋ 1+o(1) Erd˝os [Erd35] in 1935 that Vϕ(x) = x/(log x) as x . Actually, the same is true for a number of multiplicative functions f, such as f = σ,→ the ∞ sum-of-divisors function, and f = σ∗, the sum-of-unitary-divisors function, where we say d is a unitary divisor of n if d n, | d > 0, and gcd(d,n/d) = 1. In fact, a more precise estimation of Vf (x) is known in these cases; see Ford [For98]. -
Advances in Pure Mathematics Special Issue on Number Theory
Advances in Pure Mathematics Scientific Research Open Access ISSN Online: 2160-0384 Special Issue on Number Theory Call for Papers Number theory (arithmetic) is devoted primarily to the study of the integers. It is sometimes called "The Queen of Mathematics" because of its foundational place in the discipline. Number theorists study prime numbers as well as the properties of objects made out of integers (e.g., rational numbers) or defined as generalizations of the integers (e.g., algebraic integers). In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on number theory. Potential topics include, but are not limited to: Elementary tools Analytic number theory Algebraic number theory Diophantine geometry Probabilistic number theory Arithmetic combinatorics Computational number theory Applications Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System. Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue – Number Theory” should be chosen during your submission. According to the following timetable: Submission Deadline November 2nd, 2020 Publication Date January 2021 For publishing inquiries, please feel free to contact the Editorial Assistant at [email protected] APM Editorial Office Home | About SCIRP | Sitemap | Contact Us Copyright © 2006-2020 Scientific Research Publishing Inc. All rights reserved. Advances in Pure Mathematics Scientific Research Open Access ISSN Online: 2160-0384 [email protected] Home | About SCIRP | Sitemap | Contact Us Copyright © 2006-2020 Scientific Research Publishing Inc. -
An Identity for Generalized Bernoulli Polynomials
1 2 Journal of Integer Sequences, Vol. 23 (2020), 3 Article 20.11.2 47 6 23 11 An Identity for Generalized Bernoulli Polynomials Redha Chellal1 and Farid Bencherif LA3C, Faculty of Mathematics USTHB Algiers Algeria [email protected] [email protected] [email protected] Mohamed Mehbali Centre for Research Informed Teaching London South Bank University London United Kingdom [email protected] Abstract Recognizing the great importance of Bernoulli numbers and Bernoulli polynomials in various branches of mathematics, the present paper develops two results dealing with these objects. The first one proposes an identity for the generalized Bernoulli poly- nomials, which leads to further generalizations for several relations involving classical Bernoulli numbers and Bernoulli polynomials. In particular, it generalizes a recent identity suggested by Gessel. The second result allows the deduction of similar identi- ties for Fibonacci, Lucas, and Chebyshev polynomials, as well as for generalized Euler polynomials, Genocchi polynomials, and generalized numbers of Stirling. 1Corresponding author. 1 1 Introduction Let N and C denote, respectively, the set of positive integers and the set of complex numbers. (α) In his book, Roman [41, p. 93] defined generalized Bernoulli polynomials Bn (x) as follows: for all n ∈ N and α ∈ C, we have ∞ tn t α B(α)(x) = etx. (1) n n! et − 1 Xn=0 The Bernoulli numbers Bn, classical Bernoulli polynomials Bn(x), and generalized Bernoulli (α) numbers Bn are, respectively, defined by (1) (α) (α) Bn = Bn(0), Bn(x)= Bn (x), and Bn = Bn (0). (2) The Bernoulli numbers and the Bernoulli polynomials play a fundamental role in various branches of mathematics, such as combinatorics, number theory, mathematical analysis, and topology. -
Math 788M: Computational Number Theory (Instructor’S Notes)
Math 788M: Computational Number Theory (Instructor’s Notes) The Very Beginning: • A positive integer n can be written in n steps. • The role of numerals (now O(log n) steps) • Can we do better? (Example: The largest known prime contains 258716 digits and doesn’t take long to write down. It’s 2859433 − 1.) Running Time of Algorithms: • A positive integer n in base b contains [logb n] + 1 digits. • Big-Oh & Little-Oh Notation (as well as , , ∼, ) Examples 1: log (1 + (1/n)) = O(1/n) Examples 2: [logb n] + 1 log n Examples 3: 1 + 2 + ··· + n n2 These notes are for a course taught by Michael Filaseta in the Spring of 1996 and being updated for Fall of 2007. Computational Number Theory Notes 2 Examples 4: f a polynomial of degree k =⇒ f(n) = O(nk) Examples 5: (r + 1)π ∼ rπ • We will want algorithms to run quickly (in a small number of steps) in comparison to the length of the input. For example, we may ask, “How quickly can we factor a positive integer n?” One considers the length of the input n to be of order log n (corresponding to the number of binary digits n has). An algorithm runs in polynomial time if the number of steps it takes is bounded above by a polynomial in the length of the input. An algorithm to factor n in polynomial time would require that it take O (log n)k steps (and that it factor n). Addition and Subtraction (of n and m): • We are taught how to do binary addition and subtraction in O(log n + log m) steps. -
Riemann Surfaces, Conformal Fields and Strings I. FIELD THEORY and RIEMANN SURFACES the Space-Time on Which the Particl Physicis
Riemann Surfaces, Conformal Fields and Strings I he ru k uf Rtc m:rnn s url acc~ in modern pa rticle r h y~ i cs I\ discussed. M<i thc111at- 1r :1!1 \. q11 :1111urn ri cld th eories c:1 11 he tlclinccl 011 the" : mani fo lds if the <1rc co11 - lmm11lll' in ari 11 n1. I hysic•tll y. Ri 1:t11 nnn surl:i tcs provide n 111 od1: I for th • wqrlJ , h~ c l ~ 'vc p t out IJ n prop:1gating rcla1i vistk stri ng. Thuh Ricmu nn surl uccs nrc th e natural se ll ing for confom1al fiel d theory. and. both these co n cc pl ~ together pruvidc .1 1i1r11tul .1 t1 011 of smng theory. I\~\ Words: string theory, conformal symmetry , 11•orld sh eets, Riemann surfaces I. FIELD THEORY AND RIEMANN SURFACES The space- tim e on whi ch th e particl ph ysici st writes a Lagrnngian field theory and deduces equations ol moiion, c b ss i c~ d solutions anJ quantum scaucring amplitud s is usually taken to be a Ri e nian111a11 manifold . 1 T he. ii.l ea is cent rn l l ' ge neral relati vi ty and grav1tat1 n.2 and has becom · mor imporlanl in pnrticlc phys ics w11h increasi ng cmphasi on unified th eo ries o f all for es including grav itation . R1cmannian gcomotr is usually incorpo.ratctl as a se ri es of pre Knpti ons. starting with the introduction of a i..:c ond -r:rnk ~y m mctril: tcn·or fi ' ld, the metri c g1.,,(x). -
RESOURCES in NUMERICAL ANALYSIS Kendall E
RESOURCES IN NUMERICAL ANALYSIS Kendall E. Atkinson University of Iowa Introduction I. General Numerical Analysis A. Introductory Sources B. Advanced Introductory Texts with Broad Coverage C. Books With a Sampling of Introductory Topics D. Major Journals and Serial Publications 1. General Surveys 2. Leading journals with a general coverage in numerical analysis. 3. Other journals with a general coverage in numerical analysis. E. Other Printed Resources F. Online Resources II. Numerical Linear Algebra, Nonlinear Algebra, and Optimization A. Numerical Linear Algebra 1. General references 2. Eigenvalue problems 3. Iterative methods 4. Applications on parallel and vector computers 5. Over-determined linear systems. B. Numerical Solution of Nonlinear Systems 1. Single equations 2. Multivariate problems C. Optimization III. Approximation Theory A. Approximation of Functions 1. General references 2. Algorithms and software 3. Special topics 4. Multivariate approximation theory 5. Wavelets B. Interpolation Theory 1. Multivariable interpolation 2. Spline functions C. Numerical Integration and Differentiation 1. General references 2. Multivariate numerical integration IV. Solving Differential and Integral Equations A. Ordinary Differential Equations B. Partial Differential Equations C. Integral Equations V. Miscellaneous Important References VI. History of Numerical Analysis INTRODUCTION Numerical analysis is the area of mathematics and computer science that creates, analyzes, and implements algorithms for solving numerically the problems of continuous mathematics. Such problems originate generally from real-world applications of algebra, geometry, and calculus, and they involve variables that vary continuously; these problems occur throughout the natural sciences, social sciences, engineering, medicine, and business. During the second half of the twentieth century and continuing up to the present day, digital computers have grown in power and availability.