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Science Horizon Volume 6 Issue 4 April, 2021 President, Odisha Bigyan Academy Editorial Board Sri Umakant Swain Prof. Niranjan Barik Prof. Ramesh Chandra Parida Editor Er. Mayadhar Swain Dr. Choudhury Satyabrata Nanda Dr. Rajballav Mohanty Managing Editor Dr. Nilambar Biswal Er. Bhagat Charan Mohanty Language Expert Secretary, Odisha Bigyan Academy Prof. Sachidananda Tripathy HJCONTENTS HJ Subject Author Page 1. Editorial : Uttarakhand Glacial Burst-A Warning Er. Mayadhar Swain 178 2. The Star World Prof. B.B. Swain 180 3. Role of Physics in Information and Communication Dr. Sadasiva Biswal 186 Technology 4. National Mathematics Day, National Mathematics Binapani Saikrupa 188 Park & Srinivasa Ramanujan 5. A Brief History of Indian Math-Magicians (Part IV) Purusottam Sahoo 192 6. Glacier Dr. Manas Ranjan Senapati 197 7. Do Plants Recognise their Kins? Dr. Taranisen Panda 198 Dr. Raj Ballav Mohanty 8. Paris Climate Agreement and India’s Response Dr. Sundara Narayana Patro 201 9. Fluoride Contamination in Groundwater with Jayant Kumar Sahoo 205 Special Reference to Odisha 10. Electricity from Trees Dr. Ramesh Chandra Parida 209 11. Hydrogen as a Renewable Energy for Sustainable Prof. (Dr.) L.M. Das 212 Future 12. Nomophobia Dr. Namita Kumari Das 217 13. Quiz: Mammals Dr. Kedareswar Pradhan 220 14. Recent News on Science & Technology 222 The Cover Page depicts : Green Hydrogen Cover Design : Kalakar Sahoo APRIL, 2021 // EDITORIAL // UTTARAKHAND GLACIAL BURST- A WARNING Er. Mayadhar Swain On 7th February 2021, a flash flood occurred in Chamoli district of Uttarakhand villagers, mostly women, were uprooted in causing devastating damage and killing 204 this flood. At Reni, Risiganga joins the river persons. -
Ramanujan and Labos Primes, Their Generalizations, and Classifications
1 2 Journal of Integer Sequences, Vol. 15 (2012), 3 Article 12.1.1 47 6 23 11 Ramanujan and Labos Primes, Their Generalizations, and Classifications of Primes Vladimir Shevelev Department of Mathematics Ben-Gurion University of the Negev Beer-Sheva 84105 Israel [email protected] Abstract We study the parallel properties of the Ramanujan primes and a symmetric counter- part, the Labos primes. Further, we study all primes with these properties (generalized Ramanujan and Labos primes) and construct two kinds of sieves for them. Finally, we give a further natural generalization of these constructions and pose some conjectures and open problems. 1 Introduction The very well-known Bertrand postulate (1845) states that, for every x > 1, there exists a prime in the interval (x, 2x). This postulate quickly became a theorem when, in 1851, it was unexpectedly proved by Chebyshev (for a very elegant version of his proof, see Theorem 9.2 in [8]). In 1919, Ramanujan ([6]; [7, pp. 208–209]) gave a quite new and very simple proof of Bertrand’s postulate. Moreover, in his proof of a generalization of Bertrand’s, the following sequence of primes appeared ([11], A104272) 2, 11, 17, 29, 41, 47, 59, 67, 71, 97, 101, 107, 127, 149, 151, 167,... (1) Definition 1. For n ≥ 1, the n-th Ramanujan prime is the largest prime (Rn) for which π(Rn) − π(Rn/2) = n. Let us show that, equivalently, Rn is the smallest positive integer g(n) with the property that, if x ≥ g(n), then π(x) − π(x/2) ≥ n. -
Lecture 2 MODES of NUMERICAL COMPUTATION
§1. Diversity of Numbers Lecture 2 Page 1 It is better to solve the right problem the wrong way than to solve the wrong problem the right way. The purpose of computing is insight, not numbers. – Richard Wesley Hamming (1915–1998) Lecture 2 MODES OF NUMERICAL COMPUTATION To understand numerical nonrobustness, we need to understand computer arithmetic. But there are several distinctive modes of numerical computation: symbolic mode, floating point (FP) mode, arbitrary precision mode, etc. Numbers are remarkably complex objects in computing, embodying two distinct sets of properties: quantitative properties and algebraic properties. Each mode has its distinctive number representations which reflect the properties needed for computing in that mode. Our main focus is on the FP mode that is dominant in scientific and engineering computing, and in the corresponding representation popularly known as the IEEE Standard. §1. Diversity of Numbers Numerical computing involves numbers. For our purposes, numbers are elements of the set C of complex numbers. But in each area of application, we are only interested in some subset of C. This subset may be N as in number theory and cryptographic applications. The subset may be R as in most scientific and engineering computations. In algebraic computations, the subset might be Q or its algebraic closure Q. These examples show that “numbers”, despite their simple unity as elements of C, can be very diverse in manifestation. Numbers have two complementary sets of properties: quantitative (“numerical”) properties and algebraic properties. Quantitative properties of numbers include ordering and magnitudes, while algebraic properties include the algebraic axioms of a ring or field. -
Ramanujan Primes: Bounds, Runs, Twins, and Gaps
Ramanujan Primes: Bounds, Runs, Twins, and Gaps Jonathan Sondow 209 West 97th Street New York, NY 10025 USA [email protected] John W. Nicholson P. O. Box 2423 Arlington, TX 76004 USA [email protected] Tony D. Noe 14025 NW Harvest Lane Portland, OR 97229 USA [email protected] arXiv:1105.2249v2 [math.NT] 1 Aug 2011 Abstract The nth Ramanujan prime is the smallest positive integer Rn such that if x ≥ Rn, 1 then the interval 2 x,x contains at least n primes. We sharpen Laishram’s theorem that Rn < p3n by proving that the maximum of Rn/p3n is R5/p15 = 41/47. We give statistics on the length of the longest run of Ramanujan primes among all primes p < 10n, for n ≤ 9. We prove that if an upper twin prime is Ramanujan, then so is the lower; a table gives the number of twin primes below 10n of three types. Finally, we relate runs of Ramanujan primes to prime gaps. Along the way we state several conjectures and open problems. The Appendix explains Noe’s fast algorithm for computing R1,R2,...,Rn. 1 1 Introduction For n ≥ 1, the nth Ramanujan prime is defined as the smallest positive integer Rn with 1 the property that for any x ≥ Rn, there are at least n primes p with 2 x<p ≤ x. By its 1 minimality, Rn is indeed a prime, and the interval 2 Rn, Rn contains exactly n primes [10]. In 1919 Ramanujan proved a result which implies that Rn exists, and he gave the first five Ramanujan primes. -
Modes of Numerical Computation
§1. Diversity of Numbers Lecture 2 Page 1 It is better to solve the right problem the wrong way than to solve the wrong problem the right way. The purpose of computing is insight, not numbers. – Richard Wesley Hamming (1915–1998) Lecture 2 MODES OF NUMERICAL COMPUTATION To understand numerical nonrobustness, we need to understand computer arithmetic. But there are several distinctive modes of numerical computation: symbolic mode, floating point (FP) mode, arbitrary precision mode, etc. Numbers are remarkably complex objects in computing, embodying two distinct sets of properties: quantitative properties and algebraic properties. Each mode has its distinctive number representations which reflect the properties needed for computing in that mode. Our main focus is on the FP mode that is dominant in scientific and engineering computing, and in the corresponding representation popularly known as the IEEE Standard. §1. Diversity of Numbers Numerical computing involves numbers. For our purposes, numbers are elements of the set C of complex numbers. But in each area of application, we are only interested in some subset of C. This subset may be N as in number theory and cryptographic applications. The subset may be R as in most scientific and engineering computations. In algebraic computations, the subset might be Q or its algebraic closure Q. These examples show that “numbers”, despite their simple unity as elements of C, can be very diverse in manifestation. Numbers have two complementary sets of properties: quantitative (“numerical”) properties and algebraic properties. It is not practical to provide a single representation of numbers to cover the full range of these properties. -
Numbers Quantification
Concept Map Integers Binary System Indices & Logarithms Primes & factorisation Encryption & Computer Cryptography Real Life Applications 1.1 Introduction: In this modern age of computers, primes play an important role to make our communications secure. So understanding primes are very important. In Section 1.1., we give an introduction to primes and its properties and give its application to encryption in 1.2. The concept of binary numbers and writing a number in binary and converting a number in binary to decimal is presented in 1.3. The Section 1.4 introduces the concept of complex numbers with some basic properties. In Sections 1.5, 1.6 and 1.7. logarithms, its properties and applications to real life problems are introduced. Finally in Section 1.8 we give a number of word problems which we come across in everyday life. [2] 1.2 Prime Numbers We say integer a divides b, and write a|b in symbols, if b = ac with c ∈ Z. For example 9|27. If a|b, we say a is a factor or a is divisor of b. And we also say b is a multiple of a. It is easy to see that 1 and –1 are divisors of any integer and every non-zero integer is a divisor of 0. We write a|b if a does not divide b. For example 5|13. Prime numbers are the building blocks of number system. A positive integer p > 1 is called a prime if 1 and p are the only positive divisors of p. For example, 2, 3, 5, 7, 11, 13, .... -
Vedic Mathematics Indian Mathematics from Vedic Period Until
Vedic Mathematics Indian Mathematics from Vedic Period until today is ‘Vedic Mathematics’ Ravi Kumar Iyer Mob. +91 8076 4843 56 Vedic Mathematics I am sorry I am not able to meet you Physically. But once the pandemic is over, let us meet and learn VM properly. Today is only a TRILER I need your cooperation If possible pl sit with your school going children above the age of 12. They pick up very quickly I have conducted VM workshops in many leading universities in USA, Canada, Holland, Norway, Australia, New Zealand etc. Also in Royal Society My 5 Sessions on VM in Radio Sydney won maximum attendance award [email protected], www.hindugenius.blogspot.com Quotes on Indian Mathematics We owe a lot to Indians, who taught us how to count, without which no worthwhile scientific discovery could have been made. Albert Einstein Let Noble Thoughts come from all 4 directions. Rig Veda Ancient Vedic Shloka over 5,000 years back "Om purna mada purna midam Purnaat purnam udachyate Purnasya purnam adaaya Purnam eva vasishyate Om shanti shanti shantih” (Isha Upanishad) Guillaume de l'Hôpital Which translates into: 1661- 1704 France, Paris INFINITY ÷÷ INFINITY = INFINITY "That is the whole, this is the Whole; from the Whole, the Whole arises; taking away the Whole from the Whole, the Whole remains“ (Replace Whole by Infinity) Great Mathematicians of Vedic Period Indian Mathematics from Vedic Period until today is ‘Vedic Mathematics’ How old is Vedic Civilization ?? How old is Vedic Civilization ?? Thomas Alva Edison (1847 – 1931) Gramaphone 1877 Max Müller (1823 – 1900) I worship Agni who is the priest, the one who leads us from the front, who is the deity subject matter of a ritual, a yajna who is the one who makes the formal invocations in the yajna who is the source, storehouse and the bestower of all wealth, gems, precious stones etc 1 -1-1 of Rigvedam. -
Part V Real Arithmetic
Part V Real Arithmetic Parts Chapters 1. Numbers and Arithmetic 2. Representing Signed Numbers I. Number Representation 3. Redundant Number Systems 4. Residue Number Systems 5. Basic Addition and Counting 6. Carry-Lookahead Adders II. Addition / Subtraction 7. Variations in Fast Adders 8. Multioperand Addition 9. Basic Multiplication Schemes 10. High-Radix Multipliers III. Multiplication 11. Tree and Array Multipliers 12. Variations in Multipliers 13. Basic Division Schemes 14. High-Radix Dividers IV . Division Elementary Operations Elementary 15. Variations in Dividers 16. Division by Convergence 17. Floating-Point Reperesentations 18. Floating-Point Operations V. Real Arithmetic 19. Errors and Error Control 20. Precise and Certifiable Arithmetic 21. Square-Rooting Methods 22. The CORDIC Algorithms VI. Function Evaluation 23. Variations in Function Evaluation 24. Arithmetic by Table Lookup 25. High-Throughput Arithmetic 26. Low-Power Arithmetic VII. Implementation Topics 27. Fault-Tolerant Arithmetic 28. Past,Reconfigurable Present, and Arithmetic Future Appendix: Past, Present, and Future May 2015 Computer Arithmetic, Real Arithmetic Slide 1 About This Presentation This presentation is intended to support the use of the textbook Computer Arithmetic: Algorithms and Hardware Designs (Oxford U. Press, 2nd ed., 2010, ISBN 978-0-19-532848-6). It is updated regularly by the author as part of his teaching of the graduate course ECE 252B, Computer Arithmetic, at the University of California, Santa Barbara. Instructors can use these slides freely in classroom teaching and for other educational purposes. Unauthorized uses are strictly prohibited. © Behrooz Parhami Edition Released Revised Revised Revised Revised First Jan. 2000 Sep. 2001 Sep. 2003 Oct. 2005 May 2007 May 2008 May 2009 Second May 2010 Apr. -
Existence of Ramanujan Primes for GL(3)
Existence of Ramanujan primes for GL(3) Dinakar Ramakrishnan 253-37 Caltech, Pasadena, CA 91125 To Joe Shalika with admiration Introduction Let π beacuspformonGL(n)/Q , i.e., a cuspidal automophic representation of GL(n, A), where A denotes the adele ring of Q . We will say that a prime p is a Ramanujan prime for π iff the corresponding πp is tempered.The local component πp will necessarily be unramified for almost all p, determined by an unordered n-tuple {α1,p,α2,p,...,αn,p} of non-zero complex numbers, often represented by the corresponding diagonal matrix Ap(π)inGL(n, C), unique up to permutation of the diagonal entries. The L-factor of π at p is given by n −s −1 −s −1 L(s, πp)=det(I − Ap(π)p ) = (1 − αj,pp ) . j=1 As π is unitary, πp is tempered (in the unramified case) iff each αj,p is of absolute value 1. It was shown in [Ra] that for n = 2,thesetR(π)of Ramanujan primes for π is of lower density at least 9/10. When one applies in addition the deep recent results of H. Kim and F. Shahidi ([KSh]) on the symmetric cube and the symmetric fourth power liftings for GL(2), the lower bound improves from 9/10 to 34/35 (loc. cit.), which is 0.971428 .... For n>2 there is a dearth of results for general π, though for cusp forms of regular infinity type, assumed for n>3 to have a discrete series component at a finite place, one knows by [Pic] for n = 3, which relies on the works of J. -
Interval Arithmetic in Mathematica
Interval Computations No 3, 1993 Interval Arithmetic in Mathematica Jerry B. Keiper The use of interval methods to solve numerical problems has been very limited. Some of the reasons for this are the lack of easy access to software and the lack of knowledge of the potential benefits. Until numerical analysts and others become generally familiar with interval methods, their use will remain limited. Mathematica is one way to educate potential users regarding the usefulness of interval methods. This paper examines some of the ways that intervals can be used in Mathematica. ИНТЕРВАЛЬНАЯ АРФМЕТИКА В СИСТЕМЕ Mathematica Дж. Б. Кейпер Использование интервальных методов для решения численных задач до сих пор было весьма ограниченным. Отчасти причины этого заключались в отсутствии легкого доступа к программному обеспечению и отсутствии знаний о потенциальной выгоде. Пока исследователи, занимающиеся чис- ленным анализом и смежными дисциплинами, не познакомятся достаточ- но близко с интервальными методами, их использование будет оставаться ограниченным. Доступ к системе Mathematica является одним из способов ознакомить потенциальных пользователей с полезностью интервальных методов. В статье рассматриваются некоторые возможности использова- ния интервалов в системе Mathematica. c J. B. Keiper, 1993 Interval Arithmetic in Mathematica 77 1 Introduction Mathematica, like all computer-algebra systems, has several types of arith- metic. In addition to exact arithmetic (i.e., integers and rational num- bers) and machine-precision floating-point arithmetic, it has high-precision floating-point arithmetic and interval arithmetic. The behavior of the high-precision floating-point arithmetic can be al- tered (by changing $MinPrecision and $MaxPrecision), but the default behavior is essentially a form of interval arithmetic in which the intervals are assumed to be “short” relative to the magnitude of the numbers represented. -
Moments in Mathematics
Moments in Mathematics Rintu Nath Vigyan Prasar Published by Vigyan Prasar Department of Science and Technology A-50, Institutional Area, Sector-62 NOIDA 201 309 (Uttar Pradesh), India (Regd. Office: Technology Bhawan, New Delhi 110016) Phones: 0120-2404430-35 Fax: 91-120-2404437 E-mail: [email protected] Website: http://www.vigyanprasar.gov.in Copyright: 2013 by Vigyan Prasar All right reserved Moments in Mathematics by Rintu Nath Guidance: Dr R. Gopichandran and Dr Subodh Mahanti Production Supervision: Minish Mohan Gore & Pradeep Kumar Design & Layout: Pradeep Kumar ISBN: 978-81-7480-224-8 Price : ` 110 Printed by: Chandu Press, New Delhi Contents Preface .............................................................................................vi A Brief History of Zero ................................................................. 1 Operation Zero .............................................................................. 8 In Pursuit of π............................................................................... 18 A Glance at the Golden Ratio .................................................... 30 The Enigmatic 'e' .......................................................................... 41 Niceties of Numbers ................................................................... 50 A Primer on Prime Numbers .................................................... 59 A Tale of Two Digits ................................................................... 71 A Chronicle of Complex Numbers .......................................... -
Subject Index
Subject Index Many of these terms are defined in the glossary, others are defined in the Prime Curios! themselves. The boldfaced entries should indicate the key entries. γ 97 Arecibo Message 55 φ 79, 184, see golden ratio arithmetic progression 34, 81, π 8, 12, 90, 102, 106, 129, 136, 104, 112, 137, 158, 205, 210, 154, 164, 172, 173, 177, 181, 214, 219, 223, 226, 227, 236 187, 218, 230, 232, 235 Armstrong number 215 5TP39 209 Ars Magna 20 ASCII 66, 158, 212, 230 absolute prime 65, 146, 251 atomic number 44, 51, 64, 65 abundant number 103, 156 Australopithecus afarensis 46 aibohphobia 19 autism 85 aliquot sequence 13, 98 autobiographical prime 192 almost-all-even-digits prime 251 averaging sets 186 almost-equipandigital prime 251 alphabet code 50, 52, 61, 65, 73, Babbage 18, 146 81, 83 Babbage (portrait) 147 alphaprime code 83, 92, 110 balanced prime 12, 48, 113, 251 alternate-digit prime 251 Balog 104, 159 Amdahl Six 38 Balog cube 104 American Mathematical Society baseball 38, 97, 101, 116, 127, 70, 102, 196, 270 129 Antikythera mechanism 44 beast number 109, 129, 202, 204 apocalyptic number 72 beastly prime 142, 155, 229, 251 Apollonius 101 bemirp 113, 191, 210, 251 Archimedean solid 19 Bernoulli number 84, 94, 102 Archimedes 25, 33, 101, 167 Bernoulli triangle 214 { Page 287 { Bertrand prime Subject Index Bertrand prime 211 composite-digit prime 59, 136, Bertrand's postulate 111, 211, 252 252 computer mouse 187 Bible 23, 45, 49, 50, 59, 72, 83, congruence 252 85, 109, 158, 194, 216, 235, congruent prime 29, 196, 203, 236 213, 222, 227,