Mathematical Symbols by Subject
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On the Universality of Memcomputing Machines Yan Ru Pei, Fabio L
1 On the Universality of Memcomputing Machines Yan Ru Pei, Fabio L. Traversa, and Massimiliano Di Ventra Abstract—Universal memcomputing machines (UMMs) [IEEE is related to the topology (or architecture) of the network of Trans. Neural Netw. Learn. Syst. 26, 2702 (2015)] represent memory units (memprocessors). It means the machine has a novel computational model in which memory (time non- access, at any given time, to more information (precisely locality) accomplishes both tasks of storing and processing of information. UMMs have been shown to be Turing-complete, originating from the topology of the network) than what is namely they can simulate any Turing machine. In this paper, we available if the memprocessors were not connected to each first introduce a novel set-theory approach to compare different other. Of course, this information overhead is not necessarily computational models, and use it to recover the previous results stored by the machine (the stored information is the Shannon on Turing completeness of UMMs. We then relate UMMs directly one) [4]. Nevertheless, with appropriate topologies, hence with to liquid-state machines (or “reservoir computing”) and quantum machines (“quantum computing”). We show that UMMs can appropriate information overhead, UMMs can solve complex simulate both types of machines, hence they are both “liquid-” or problems very efficiently [4]. Finally, functional polymor- “reservoir-complete” and “quantum-complete”. Of course, these phism means that the machine is able to compute different statements pertain only to the type of problems these machines functions by simply applying the appropriate input signals [4], can solve, and not to the amount of resources required for such without modifying the topology of the machine network. -
Writing Mathematical Expressions in Plain Text – Examples and Cautions Copyright © 2009 Sally J
Writing Mathematical Expressions in Plain Text – Examples and Cautions Copyright © 2009 Sally J. Keely. All Rights Reserved. Mathematical expressions can be typed online in a number of ways including plain text, ASCII codes, HTML tags, or using an equation editor (see Writing Mathematical Notation Online for overview). If the application in which you are working does not have an equation editor built in, then a common option is to write expressions horizontally in plain text. In doing so you have to format the expressions very carefully using appropriately placed parentheses and accurate notation. This document provides examples and important cautions for writing mathematical expressions in plain text. Section 1. How to Write Exponents Just as on a graphing calculator, when writing in plain text the caret key ^ (above the 6 on a qwerty keyboard) means that an exponent follows. For example x2 would be written as x^2. Example 1a. 4xy23 would be written as 4 x^2 y^3 or with the multiplication mark as 4*x^2*y^3. Example 1b. With more than one item in the exponent you must enclose the entire exponent in parentheses to indicate exactly what is in the power. x2n must be written as x^(2n) and NOT as x^2n. Writing x^2n means xn2 . Example 1c. When using the quotient rule of exponents you often have to perform subtraction within an exponent. In such cases you must enclose the entire exponent in parentheses to indicate exactly what is in the power. x5 The middle step of ==xx52− 3 must be written as x^(5-2) and NOT as x^5-2 which means x5 − 2 . -
Assessment of Options for Handling Full Unicode Character Encodings in MARC21 a Study for the Library of Congress
1 Assessment of Options for Handling Full Unicode Character Encodings in MARC21 A Study for the Library of Congress Part 1: New Scripts Jack Cain Senior Consultant Trylus Computing, Toronto 1 Purpose This assessment intends to study the issues and make recommendations on the possible expansion of the character set repertoire for bibliographic records in MARC21 format. 1.1 “Encoding Scheme” vs. “Repertoire” An encoding scheme contains codes by which characters are represented in computer memory. These codes are organized according to a certain methodology called an encoding scheme. The list of all characters so encoded is referred to as the “repertoire” of characters in the given encoding schemes. For example, ASCII is one encoding scheme, perhaps the one best known to the average non-technical person in North America. “A”, “B”, & “C” are three characters in the repertoire of this encoding scheme. These three characters are assigned encodings 41, 42 & 43 in ASCII (expressed here in hexadecimal). 1.2 MARC8 "MARC8" is the term commonly used to refer both to the encoding scheme and its repertoire as used in MARC records up to 1998. The ‘8’ refers to the fact that, unlike Unicode which is a multi-byte per character code set, the MARC8 encoding scheme is principally made up of multiple one byte tables in which each character is encoded using a single 8 bit byte. (It also includes the EACC set which actually uses fixed length 3 bytes per character.) (For details on MARC8 and its specifications see: http://www.loc.gov/marc/.) MARC8 was introduced around 1968 and was initially limited to essentially Latin script only. -
A Sheaf-Theoretic Topos Model of the Physical “Continuum” and Its Cohomological Observable Dynamics
A Sheaf-Theoretic Topos Model of the Physical “Continuum” and its Cohomological Observable Dynamics ELIAS ZAFIRIS University of Athens Department of Mathematics Panepistimiopolis, 15784 Athens Greece Abstract The physical “continuum” is being modeled as a complex of events interconnected by the relation of extension and forming an abstract partially ordered structure. Operational physical procedures for dis- cerning observable events assume their existence and validity locally, by coordinatizing the informational content of those observable events in terms of real-valued local observables. The localization process is effectuated in terms of topological covering systems on the events “con- tinuum”, that do not presuppose an underlying structure of points on the real line, and moreover, respect only the fundamental relation of extension between events. In this sense, the physical “continuum” is represented by means of a fibered topos-theoretic structure, modeled as a sheaf of algebras of continuous real-valued functions. Finally, the dy- namics of information propagation, formulated in terms of continuous real-valued observables, is described in the context of an appropriate sheaf-cohomological framework corresponding to the localization pro- cess. 0E-mail : ezafi[email protected] 1 Keywords: Observables; Modern Differential Geometry; Topos and Sheaf Theory; Functoriality; Connection; De Rham Cohomology. 2 1 Prologue The semantics of the physical “continuum” in the standard interpretation of physical systems theories is associated with the codomain of valuation of physical attributes (Butterfield and Isham (2000)). Usually the notion of “continuum” is tied with the attribute of position, serving as the range of values characterizing this particular attribution. The model adopted to represent these values is the real line R and its powers, specified as a set the- oretical structure of points that are independent and possess the property of infinite distinguishability with absolute precision. -
Homology and Vortices I
The role of homology in fluid vortices I: non-relativistic flow D. H. Delphenich † Spring Valley, OH 45370 Abstract : The methods of singular and de Rham homology and cohomology are reviewed to the extent that they are applicable to the structure and motion of vortices. In particular, they are first applied to the concept of integral invariants. After a brief review of the elements of fluid mechanics, when expressed in the language of exterior differential forms and homology theory, the basic laws of vortex theory are shown to be statements that are rooted in the homology theory of integral invariants. (†) E-mail: [email protected] Contents Page Introduction ……………………………………………………………………………………… 1 Part I: Mathematical preliminaries 1. Elementary homology and cohomology……………………………………………………… 3 a. Singular homology 3 b. Singular cohomology 10 c. De Rham cohomology 12 d. De Rham homology 15 e. Differentiable homotopies of chains. 17 f. Chain homotopies 18 2. Vector homology …………………………………………………………………………… 19 3. Integral invariants ………………………………………………………………………….. 23 Part II: The theory of vortices 4. Basic fluid kinematics ………………………………………………………………………. 26 a. The basic flow region 26 b. Flow velocity vector field 27 c. The velocity gradient 27 d. Flow covelocity 1-form 29 e. Integrability of covelocity 29 f. The convective acceleration 1-form 31 5. Kinematical vorticity 2-form ………………..……………………………………………... 32 a. Basic definition 32 b. Vorticity vector field. 33 c. Vortex lines and tubes. 34 d. Vorticity flux as a 2-coboundary 34 e. The magnetic analogy 35 6. Circulation as a 1-cochain ………………………………………………………………….. 36 a. Basic definition 36 b. Topological sources of vorticity for irrotational flow 37 7. Basic fluid dynamics …………………………………………………………………………. -
Notes on Euler's Work on Divergent Factorial Series and Their Associated
Indian J. Pure Appl. Math., 41(1): 39-66, February 2010 °c Indian National Science Academy NOTES ON EULER’S WORK ON DIVERGENT FACTORIAL SERIES AND THEIR ASSOCIATED CONTINUED FRACTIONS Trond Digernes¤ and V. S. Varadarajan¤¤ ¤University of Trondheim, Trondheim, Norway e-mail: [email protected] ¤¤University of California, Los Angeles, CA, USA e-mail: [email protected] Abstract Factorial series which diverge everywhere were first considered by Euler from the point of view of summing divergent series. He discovered a way to sum such series and was led to certain integrals and continued fractions. His method of summation was essentialy what we call Borel summation now. In this paper, we discuss these aspects of Euler’s work from the modern perspective. Key words Divergent series, factorial series, continued fractions, hypergeometric continued fractions, Sturmian sequences. 1. Introductory Remarks Euler was the first mathematician to develop a systematic theory of divergent se- ries. In his great 1760 paper De seriebus divergentibus [1, 2] and in his letters to Bernoulli he championed the view, which was truly revolutionary for his epoch, that one should be able to assign a numerical value to any divergent series, thus allowing the possibility of working systematically with them (see [3]). He antic- ipated by over a century the methods of summation of divergent series which are known today as the summation methods of Cesaro, Holder,¨ Abel, Euler, Borel, and so on. Eventually his views would find their proper place in the modern theory of divergent series [4]. But from the beginning Euler realized that almost none of his methods could be applied to the series X1 1 ¡ 1!x + 2!x2 ¡ 3!x3 + ::: = (¡1)nn!xn (1) n=0 40 TROND DIGERNES AND V. -
Guide for the Use of the International System of Units (SI)
Guide for the Use of the International System of Units (SI) m kg s cd SI mol K A NIST Special Publication 811 2008 Edition Ambler Thompson and Barry N. Taylor NIST Special Publication 811 2008 Edition Guide for the Use of the International System of Units (SI) Ambler Thompson Technology Services and Barry N. Taylor Physics Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 (Supersedes NIST Special Publication 811, 1995 Edition, April 1995) March 2008 U.S. Department of Commerce Carlos M. Gutierrez, Secretary National Institute of Standards and Technology James M. Turner, Acting Director National Institute of Standards and Technology Special Publication 811, 2008 Edition (Supersedes NIST Special Publication 811, April 1995 Edition) Natl. Inst. Stand. Technol. Spec. Publ. 811, 2008 Ed., 85 pages (March 2008; 2nd printing November 2008) CODEN: NSPUE3 Note on 2nd printing: This 2nd printing dated November 2008 of NIST SP811 corrects a number of minor typographical errors present in the 1st printing dated March 2008. Guide for the Use of the International System of Units (SI) Preface The International System of Units, universally abbreviated SI (from the French Le Système International d’Unités), is the modern metric system of measurement. Long the dominant measurement system used in science, the SI is becoming the dominant measurement system used in international commerce. The Omnibus Trade and Competitiveness Act of August 1988 [Public Law (PL) 100-418] changed the name of the National Bureau of Standards (NBS) to the National Institute of Standards and Technology (NIST) and gave to NIST the added task of helping U.S. -
Calculus Terminology
AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential -
Topology Proceedings FOLDERS of CONTINUA 1. Introduction The
To appear in Topology Proceedings FOLDERS OF CONTINUA C.L. HAGOPIAN, M.M. MARSH, AND J.R. PRAJS Abstract. This article is motivated by the following unsolved fixed point problem of G. R. Gordh, Jr. If a continuum X ad- mits a map onto an arc such that the preimage of each point is either a point or an arc, then must X have the fixed point prop- erty? We call such a continuum an arc folder. This terminology generalizes naturally to the concept of a continuum folder. We give several partial solutions to Gordh's problem. The an- swer is yes if X is either planar, one dimensional, or an approx- imate absolute neighborhood retract. We establish basic proper- ties of both continuum folders and arc folders. We provide several specific examples of arc folders, and give general methods for con- structing continuum folders. Numerous related questions are raised for further research. 1. Introduction The main focus of this paper is arc folders; that is, continua admit- ting maps onto an arc with point preimages being an arc or a point. In conversation (circa 1980) with a number of topologists, G. R. Gordh, Jr. asked the following question, which is still open. Question 1. Do all arc folders have the fixed point property? We find this question challenging and intriguing, and the class of arc folders interesting and more diverse than its rather restrictive definition may suggest. In this paper, we give some partial answers to Gordh's 2010 Mathematics Subject Classification. Primary 54F15, 54B15, 54D80; Sec- ondary 54C10, 54B17. -
Euler and His Work on Infinite Series
BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 44, Number 4, October 2007, Pages 515–539 S 0273-0979(07)01175-5 Article electronically published on June 26, 2007 EULER AND HIS WORK ON INFINITE SERIES V. S. VARADARAJAN For the 300th anniversary of Leonhard Euler’s birth Table of contents 1. Introduction 2. Zeta values 3. Divergent series 4. Summation formula 5. Concluding remarks 1. Introduction Leonhard Euler is one of the greatest and most astounding icons in the history of science. His work, dating back to the early eighteenth century, is still with us, very much alive and generating intense interest. Like Shakespeare and Mozart, he has remained fresh and captivating because of his personality as well as his ideas and achievements in mathematics. The reasons for this phenomenon lie in his universality, his uniqueness, and the immense output he left behind in papers, correspondence, diaries, and other memorabilia. Opera Omnia [E], his collected works and correspondence, is still in the process of completion, close to eighty volumes and 31,000+ pages and counting. A volume of brief summaries of his letters runs to several hundred pages. It is hard to comprehend the prodigious energy and creativity of this man who fueled such a monumental output. Even more remarkable, and in stark contrast to men like Newton and Gauss, is the sunny and equable temperament that informed all of his work, his correspondence, and his interactions with other people, both common and scientific. It was often said of him that he did mathematics as other people breathed, effortlessly and continuously. -
The Recent Trademarking of Pi: a Troubling Precedent
The recent trademarking of Pi: a troubling precedent Jonathan M. Borwein∗ David H. Baileyy July 15, 2014 1 Background Intellectual property law is complex and varies from jurisdiction to jurisdiction, but, roughly speaking, creative works can be copyrighted, while inventions and processes can be patented, and brand names thence protected. In each case the intention is to protect the value of the owner's work or possession. For the most part mathematics is excluded by the Berne convention [1] of the World Intellectual Property Organization WIPO [12]. An unusual exception was the successful patenting of Gray codes in 1953 [3]. More usual was the carefully timed Pi Day 2012 dismissal [6] by a US judge of a copyright infringement suit regarding π, since \Pi is a non-copyrightable fact." We mathematicians have largely ignored patents and, to the degree we care at all, have been more concerned about copyright as described in the work of the International Mathematical Union's Committee on Electronic Information and Communication (CEIC) [2].1 But, as the following story indicates, it may now be time for mathematicians to start paying attention to patenting. 2 Pi period (π:) In January 2014, the U.S. Patent and Trademark Office granted Brooklyn artist Paul Ingrisano a trademark on his design \consisting of the Greek letter Pi, followed by a period." It should be noted here that there is nothing stylistic or in any way particular in Ingrisano's trademark | it is simply a standard Greek π letter, followed by a period. That's it | π period. No one doubts the enormous value of Apple's partly-eaten apple or the MacDonald's arch. -
Using the BCD996T with a GPS
Precautions Before you use this scanner, please read and observe the following. IMPORTANT! This scanning radio has been manufactured so that it will not tune to the radio frequencies assigned by the FCC for cellular telephone usage. The Electronic Communications Privacy Act of 1986, as amended, makes it a federal crime to intentionally intercept cellular or cordless telephone transmissions or to market this radio when altered to receive them. The installation, possession, or use of this scanning radio in a motor vehicle may be prohibited, regulated, or require a permit in certain states, cities, and/or local jurisdictions. Your local law enforcement officials should be able to provide you with information regarding the laws in your community. Changes or modifications to this product not expressly approved by Uniden, or operation of this product in any way other than as detailed by this Operating Guide, could void your authority to operate this product. EARPHONE WARNING! Be sure to use only a monaural earphone or 32 Ω stereo headset. Use of an incorrect earphone or stereo headset might be potentially hazardous to your hearing. The output of the phone jack is monaural, but you will hear it in both headphones of a stereo headset. Set the volume to a comfortable audio level coming from the speaker before plugging in the monaural earphone or a stereo headset of the proper impedance (32 Ω). Otherwise, you might experience some discomfort or possible hearing damage if the volume suddenly becomes too loud because of the volume control or squelch control setting. This might be particularly true of the type of earphone that is placed in the ear canal.