1.6 Exponents and the Order of Operations
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
08 Cyclotomic Polynomials
8. Cyclotomic polynomials 8.1 Multiple factors in polynomials 8.2 Cyclotomic polynomials 8.3 Examples 8.4 Finite subgroups of fields 8.5 Infinitude of primes p = 1 mod n 8.6 Worked examples 1. Multiple factors in polynomials There is a simple device to detect repeated occurrence of a factor in a polynomial with coefficients in a field. Let k be a field. For a polynomial n f(x) = cnx + ::: + c1x + c0 [1] with coefficients ci in k, define the (algebraic) derivative Df(x) of f(x) by n−1 n−2 2 Df(x) = ncnx + (n − 1)cn−1x + ::: + 3c3x + 2c2x + c1 Better said, D is by definition a k-linear map D : k[x] −! k[x] defined on the k-basis fxng by D(xn) = nxn−1 [1.0.1] Lemma: For f; g in k[x], D(fg) = Df · g + f · Dg [1] Just as in the calculus of polynomials and rational functions one is able to evaluate all limits algebraically, one can readily prove (without reference to any limit-taking processes) that the notion of derivative given by this formula has the usual properties. 115 116 Cyclotomic polynomials [1.0.2] Remark: Any k-linear map T of a k-algebra R to itself, with the property that T (rs) = T (r) · s + r · T (s) is a k-linear derivation on R. Proof: Granting the k-linearity of T , to prove the derivation property of D is suffices to consider basis elements xm, xn of k[x]. On one hand, D(xm · xn) = Dxm+n = (m + n)xm+n−1 On the other hand, Df · g + f · Dg = mxm−1 · xn + xm · nxn−1 = (m + n)xm+n−1 yielding the product rule for monomials. -
Statistics of Random Permutations and the Cryptanalysis of Periodic Block Ciphers
c de Gruyter 2008 J. Math. Crypt. 2 (2008), 1–20 DOI 10.1515 / JMC.2008.xxx Statistics of Random Permutations and the Cryptanalysis Of Periodic Block Ciphers Nicolas T. Courtois, Gregory V. Bard, and Shaun V. Ault Communicated by xxx Abstract. A block cipher is intended to be computationally indistinguishable from a random permu- tation of appropriate domain and range. But what are the properties of a random permutation? By the aid of exponential and ordinary generating functions, we derive a series of collolaries of interest to the cryptographic community. These follow from the Strong Cycle Structure Theorem of permu- tations, and are useful in rendering rigorous two attacks on Keeloq, a block cipher in wide-spread use. These attacks formerly had heuristic approximations of their probability of success. Moreover, we delineate an attack against the (roughly) millionth-fold iteration of a random per- mutation. In particular, we create a distinguishing attack, whereby the iteration of a cipher a number of times equal to a particularly chosen highly-composite number is breakable, but merely one fewer round is considerably more secure. We then extend this to a key-recovery attack in a “Triple-DES” style construction, but using AES-256 and iterating the middle cipher (roughly) a million-fold. It is hoped that these results will showcase the utility of exponential and ordinary generating functions and will encourage their use in cryptanalytic research. Keywords. Generating Functions, EGF, OGF, Random Permutations, Cycle Structure, Cryptanaly- sis, Iterations of Permutations, Analytic Combinatorics, Keeloq. AMS classification. 05A15, 94A60, 20B35, 11T71. 1 Introduction The technique of using a function of a variable to count objects of various sizes, using the properties of multiplication and addition of series as an aid, is accredited to Pierre- Simon Laplace [12]. -
Enciclopedia Matematica a Claselor De Numere Întregi
THE MATH ENCYCLOPEDIA OF SMARANDACHE TYPE NOTIONS vol. I. NUMBER THEORY Marius Coman INTRODUCTION About the works of Florentin Smarandache have been written a lot of books (he himself wrote dozens of books and articles regarding math, physics, literature, philosophy). Being a globally recognized personality in both mathematics (there are countless functions and concepts that bear his name), it is natural that the volume of writings about his research is huge. What we try to do with this encyclopedia is to gather together as much as we can both from Smarandache’s mathematical work and the works of many mathematicians around the world inspired by the Smarandache notions. Because this is too vast to be covered in one book, we divide encyclopedia in more volumes. In this first volume of encyclopedia we try to synthesize his work in the field of number theory, one of the great Smarandache’s passions, a surfer on the ocean of numbers, to paraphrase the title of the book Surfing on the ocean of numbers – a few Smarandache notions and similar topics, by Henry Ibstedt. We quote from the introduction to the Smarandache’work “On new functions in number theory”, Moldova State University, Kishinev, 1999: “The performances in current mathematics, as the future discoveries, have, of course, their beginning in the oldest and the closest of philosophy branch of nathematics, the number theory. Mathematicians of all times have been, they still are, and they will be drawn to the beaty and variety of specific problems of this branch of mathematics. Queen of mathematics, which is the queen of sciences, as Gauss said, the number theory is shining with its light and attractions, fascinating and facilitating for us the knowledge of the laws that govern the macrocosm and the microcosm”. -
Arxiv:2106.08994V2 [Math.GM] 1 Aug 2021 Efc Ubr N30b.H Rvdta F2 If That and Proved Properties He Studied BC
Measuring Abundance with Abundancy Index Kalpok Guha∗ Presidency University, Kolkata Sourangshu Ghosh† Indian Institute of Technology Kharagpur, India Abstract A positive integer n is called perfect if σ(n) = 2n, where σ(n) denote n σ(n) the sum of divisors of . In this paper we study the ratio n . We de- I → I n σ(n) fine the function Abundancy Index : N Q with ( ) = n . Then we study different properties of Abundancy Index and discuss the set of Abundancy Index. Using this function we define a new class of num- bers known as superabundant numbers. Finally we study superabundant numbers and their connection with Riemann Hypothesis. 1 Introduction Definition 1.1. A positive integer n is called perfect if σ(n)=2n, where σ(n) denote the sum of divisors of n. The first few perfect numbers are 6, 28, 496, 8128, ... (OEIS A000396), This is a well studied topic in number theory. Euclid studied properties and nature of perfect numbers in 300 BC. He proved that if 2p −1 is a prime, then 2p−1(2p −1) is an even perfect number(Elements, Prop. IX.36). Later mathematicians have arXiv:2106.08994v2 [math.GM] 1 Aug 2021 spent years to study the properties of perfect numbers. But still many questions about perfect numbers remain unsolved. Two famous conjectures related to perfect numbers are 1. There exist infinitely many perfect numbers. Euler [1] proved that a num- ber is an even perfect numbers iff it can be written as 2p−1(2p − 1) and 2p − 1 is also a prime number. -
Properties of Exponents
1 Algebra II Properties of Exponents 2015-11-09 www.njctl.org 2 Table of Contents Click on topic to go to that section. Review of Integer Exponents Fractional Exponents Exponents with Multiple Terms Identifying Like Terms Evaluating Exponents Using a Calculator Standards 3 Review of Integer Exponents Return to Table of Contents 4 Powers of Integers Just as multiplication is repeated addition, an exponent represents repeated multiplication. For example, a5 read as "a to the fifth power" = a · a · a · a · a In this case, a is the base and 5 is the exponent. The base, a, is multiplied by itself 5 times. 5 Powers of Integers Make sure when you are evaluating exponents of negative numbers, you keep in mind the meaning of the exponent and the rules of multiplication. For example, , which is the same as . However, Notice the difference! Similarly, but . 6 1 Evaluate: 64 Answer 7 2 Evaluate: -128 Answer 8 3 Evaluate: 81 Answer 9 Properties of Exponents The properties of exponents follow directly from expanding them to look at the repeated multiplication they represent. Work to understand the process by which we find these properties and if you can't recall what to do, just repeat these steps to confirm the property. We'll use 3 as the base in our examples, but the properties hold for any base. We show that with base a and powers b and c. We'll use the facts that: 10 Properties of Exponents We need to develop all the properties of exponents so we can discover one of the inverse operations of raising a number to a power which is finding the root of a number. -
2. Exponents 2.1 Exponents: Exponents Are Shorthand for Repeated Multiplication of the Same Thing by Itself
Page 1 of 5 2. Exponents 2.1 Exponents: Exponents are shorthand for repeated multiplication of the same thing by itself. For instance, the shorthand for multiplying three copies of the number 5 is shown on the right-hand side of the "equals" sign in (5)(5)(5) = 53. The "exponent", being 3 in this example, stands for however many times the value is being multiplied. The thing that's being multiplied, being 5 in this example, is called the "base". The exponent says how many copies of the base are multiplied together. For example, 35 = 3·3·3·3·3 = 243. The base 3 appears 5 times in the repeated multiplication, because the exponent is 5. Here, 3 is the base, 5 is the exponent, and 243 is the power or, more specifically, the fifth power of 3, 3 raised to the fifth power, or 3 to the power of 5. The word "raised" is usually omitted, and very often "power" as well, so 35 is typically pronounced "three to the fifth" or "three to the five". The exponent is usually shown as a superscript (a letter, character, or symbol that is written above) to the right of the base. The exponentiation bn can be read as: b raised to the n-th power, b raised to the power of n, or b raised by the exponent of n, most briefly as b to the n. superscript This process of using exponents is called "raising to a power", where the exponent is the "power". The expression "53" is pronounced as "five, raised to the third power" or "five to the third". -
Multiplicative Series, Modular Forms, and Mandelbrot Polynomials
MULTIPLICATIVE SERIES, MODULAR FORMS, AND MANDELBROT POLYNOMIALS MICHAEL LARSEN n Abstract. We say a power series Pn∞=0 anq is multiplicative if the sequence 1,a2/a1,...,an/a1,... is so. In this paper, we consider mul- tiplicative power series f such that f 2 is also multiplicative. We find a number of examples for which f is a rational function or a theta series and prove that the complete set of solutions is the locus of a (proba- bly reducible) affine variety over C. The precise determination of this variety turns out to be a finite computational problem, but it seems to be beyond the reach of current computer algebra systems. The proof of the theorem depends on a bound on the logarithmic capacity of the Mandelbrot set. 1. Introduction Let rk(n) denote the number of representations of n as a sum of k squares. It is classical that r1(n)/2, r2(n)/4, r4(n)/8, and r8(n)/16 are multiplicative functions of n; the first trivially, the second thanks to Fermat, and the third and fourth thanks to Jacobi [Ja, 42,44]. From the standpoint of generating functions, this can be interpreted§§ as the statement that the theta series ϑZ(q) and its square, fourth power, and eighth power, all have multiplicative coefficients (after suitable normalization). As a starting point, we prove the converse: Theorem 1.1. If f(q) C[[q]], f(q)2, f(q)4, and f(q)8 are all multiplica- tive, then f(q)= cϑ ( q∈). Z ± This is an immediate consequence of the following more difficult result: arXiv:1908.09974v2 [math.NT] 29 Oct 2019 Theorem 1.2. -
Numbers 1 to 100
Numbers 1 to 100 PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Tue, 30 Nov 2010 02:36:24 UTC Contents Articles −1 (number) 1 0 (number) 3 1 (number) 12 2 (number) 17 3 (number) 23 4 (number) 32 5 (number) 42 6 (number) 50 7 (number) 58 8 (number) 73 9 (number) 77 10 (number) 82 11 (number) 88 12 (number) 94 13 (number) 102 14 (number) 107 15 (number) 111 16 (number) 114 17 (number) 118 18 (number) 124 19 (number) 127 20 (number) 132 21 (number) 136 22 (number) 140 23 (number) 144 24 (number) 148 25 (number) 152 26 (number) 155 27 (number) 158 28 (number) 162 29 (number) 165 30 (number) 168 31 (number) 172 32 (number) 175 33 (number) 179 34 (number) 182 35 (number) 185 36 (number) 188 37 (number) 191 38 (number) 193 39 (number) 196 40 (number) 199 41 (number) 204 42 (number) 207 43 (number) 214 44 (number) 217 45 (number) 220 46 (number) 222 47 (number) 225 48 (number) 229 49 (number) 232 50 (number) 235 51 (number) 238 52 (number) 241 53 (number) 243 54 (number) 246 55 (number) 248 56 (number) 251 57 (number) 255 58 (number) 258 59 (number) 260 60 (number) 263 61 (number) 267 62 (number) 270 63 (number) 272 64 (number) 274 66 (number) 277 67 (number) 280 68 (number) 282 69 (number) 284 70 (number) 286 71 (number) 289 72 (number) 292 73 (number) 296 74 (number) 298 75 (number) 301 77 (number) 302 78 (number) 305 79 (number) 307 80 (number) 309 81 (number) 311 82 (number) 313 83 (number) 315 84 (number) 318 85 (number) 320 86 (number) 323 87 (number) 326 88 (number) -
Modular Arithmetic in the AMC and AIME
AMC/AIME Handout Modular Arithmetic in the AMC and AIME Author: For: freeman66 AoPS Date: May 13, 2020 0 11 1 10 2 9 3 8 4 7 5 6 It's time for modular arithmetic! "I have a truly marvelous demonstration of this proposition which this margin is too narrow to contain." - Pierre de Fermat freeman66 (May 13, 2020) Modular Arithmetic in the AMC and AIME Contents 0 Acknowledgements 3 1 Introduction 4 1.1 Number Theory............................................... 4 1.2 Bases .................................................... 4 1.3 Divisibility ................................................. 4 1.4 Introduction to Modular Arithmetic ................................... 7 2 Modular Congruences 7 2.1 Congruences ................................................ 8 2.2 Fermat's Little Theorem and Euler's Totient Theorem......................... 8 2.3 Exercises .................................................. 10 3 Residues 10 3.1 Introduction................................................. 10 3.2 Residue Classes............................................... 11 3.3 Exercises .................................................. 11 4 Operations in Modular Arithmetic 12 4.1 Modular Addition & Subtraction..................................... 12 4.2 Modular Multiplication .......................................... 13 4.3 Modular Exponentiation.......................................... 14 4.4 Modular Division.............................................. 14 4.5 Modular Inverses.............................................. 14 4.6 The Euclidean Algorithm -
Generalized Partitions and New Ideas on Number Theory and Smarandache Sequences
Generalized Partitions and New Ideas On Number Theory and Smarandache Sequences Editor’s Note This book arose out of a collection of papers written by Amarnath Murthy. The papers deal with mathematical ideas derived from the work of Florentin Smarandache, a man who seems to have no end of ideas. Most of the papers were published in Smarandache Notions Journal and there was a great deal of overlap. My intent in transforming the papers into a coherent book was to remove the duplications, organize the material based on topic and clean up some of the most obvious errors. However, I made no attempt to verify every statement, so the mathematical work is almost exclusively that of Murthy. I would also like to thank Tyler Brogla, who created the image that appears on the front cover. Charles Ashbacher Smarandache Repeatable Reciprocal Partition of Unity {2, 3, 10, 15} 1/2 + 1/3 + 1/10 + 1/15 = 1 Amarnath Murthy / Charles Ashbacher AMARNATH MURTHY S.E.(E&T) WELL LOGGING SERVICES OIL AND NATURAL GAS CORPORATION LTD CHANDKHEDA AHMEDABAD GUJARAT- 380005 INDIA CHARLES ASHBACHER MOUNT MERCY COLLEGE 1330 ELMHURST DRIVE NE CEDAR RAPIDS, IOWA 42402 USA GENERALIZED PARTITIONS AND SOME NEW IDEAS ON NUMBER THEORY AND SMARANDACHE SEQUENCES Hexis Phoenix 2005 1 This book can be ordered in a paper bound reprint from: Books on Demand ProQuest Information & Learning (University of Microfilm International) 300 N. Zeeb Road P.O. Box 1346, Ann Arbor MI 48106-1346, USA Tel.: 1-800-521-0600 (Customer Service) http://wwwlib.umi.com/bod/search/basic Peer Reviewers: 1) Eng. -
8Th Grade Math Packet
At-HomeLearning Instructions for 5.11-5.22 8th grade Math Packet Notes & Assignments for 5.11-5.22 Lesson: 1.3 Powers of Monomials ○ p. 25-30 ○ Work through the lesson: complete Learn- Examples- Check- Apply Assignment: Practice 1.3 Due Friday 5.15 ● P.31-32 ● You will need to submit this assignment to your teacher Lesson: 1.4 Zero & Negative Exponents ○ p. 33-40 ○ Work through the lesson: complete Learn- Examples- Check- Apply Assignment: Practice 1.4 Due Friday 5.22 ● P. 41-42 ● You will need to submit this assignment to your teacher Lesson 1-3 Powers of Monomials I Can... use the Power of a Power Property and the Power of a What Vocabulary Product Property to simplify expressions with integer exponents. Will You Learn? Power of a Power Property Explore Power of a Power Power of a Product Property Online Activity You will explore how to simplify a power raised to another power. Learn Power of a Power You can use the rule for finding the product of powers to illustrate how to find the power of a power. (64)3 = (64) (64) (64) Expand the 3 factors. = 64+ 4+ 4 Product of Powers Property = 612 Add the exponents. Notice, that the product of the original exponents, 4 and 3, is the final power, 12. You can simplify a power raised to another power using the Power of a Power Property. Copyright © McGraw-Hill Education Copyright © McGraw-Hill Words Algebra To find the power of a power, (am)n = am ! n multiply the exponents. -
Notes on Linear Divisible Sequences and Their Construction: a Computational Approach
UNLV Theses, Dissertations, Professional Papers, and Capstones May 2018 Notes on Linear Divisible Sequences and Their Construction: A Computational Approach Sean Trendell Follow this and additional works at: https://digitalscholarship.unlv.edu/thesesdissertations Part of the Mathematics Commons Repository Citation Trendell, Sean, "Notes on Linear Divisible Sequences and Their Construction: A Computational Approach" (2018). UNLV Theses, Dissertations, Professional Papers, and Capstones. 3336. http://dx.doi.org/10.34917/13568765 This Thesis is protected by copyright and/or related rights. It has been brought to you by Digital Scholarship@UNLV with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in UNLV Theses, Dissertations, Professional Papers, and Capstones by an authorized administrator of Digital Scholarship@UNLV. For more information, please contact [email protected]. NOTES ON LINEAR DIVISIBLE SEQUENCES AND THEIR CONSTRUCTION: A COMPUTATIONAL APPROACH by Sean Trendell Bachelor of Science - Computer Mathematics Keene State College 2005 A thesis submitted in partial fulfillment of the requirements for the Master of Science - Mathematical Sciences Department of Mathematical Sciences College of Sciences The Graduate College University of Nevada, Las Vegas May 2018 Copyright © 2018 by Sean Trendell All Rights Reserved Thesis Approval The Graduate College The University of Nevada, Las Vegas April 4, 2018 This thesis prepared by Sean Trendell entitled Notes on Linear Divisible Sequences and Their Construction: A Computational Approach is approved in partial fulfillment of the requirements for the degree of Master of Science – Mathematical Sciences Department of Mathematical Sciences Peter Shiue, Ph.D.