Computing Multiplicative Inverses in Finite Fields by Long Division
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Lesson 19: the Euclidean Algorithm As an Application of the Long Division Algorithm
NYS COMMON CORE MATHEMATICS CURRICULUM Lesson 19 6•2 Lesson 19: The Euclidean Algorithm as an Application of the Long Division Algorithm Student Outcomes . Students explore and discover that Euclid’s Algorithm is a more efficient means to finding the greatest common factor of larger numbers and determine that Euclid’s Algorithm is based on long division. Lesson Notes MP.7 Students look for and make use of structure, connecting long division to Euclid’s Algorithm. Students look for and express regularity in repeated calculations leading to finding the greatest common factor of a pair of numbers. These steps are contained in the Student Materials and should be reproduced, so they can be displayed throughout the lesson: Euclid’s Algorithm is used to find the greatest common factor (GCF) of two whole numbers. MP.8 1. Divide the larger of the two numbers by the smaller one. 2. If there is a remainder, divide it into the divisor. 3. Continue dividing the last divisor by the last remainder until the remainder is zero. 4. The final divisor is the GCF of the original pair of numbers. In application, the algorithm can be used to find the side length of the largest square that can be used to completely fill a rectangle so that there is no overlap or gaps. Classwork Opening (5 minutes) Lesson 18 Problem Set can be discussed before going on to this lesson. Lesson 19: The Euclidean Algorithm as an Application of the Long Division Algorithm 178 Date: 4/1/14 This work is licensed under a © 2013 Common Core, Inc. -
Frequency Domain Finite Field Arithmetic for Elliptic Curve Cryptography
Frequency Domain Finite Field Arithmetic for Elliptic Curve Cryptography by Sel»cukBakt³r A Dissertation Submitted to the Faculty of the Worcester Polytechnic Institute in partial ful¯llment of the requirements for the Degree of Doctor of Philosophy in Electrical and Computer Engineering by April, 2008 Approved: Dr. Berk Sunar Dr. Stanley Selkow Dissertation Advisor Dissertation Committee ECE Department Computer Science Department Dr. Kaveh Pahlavan Dr. Fred J. Looft Dissertation Committee Department Head ECE Department ECE Department °c Copyright by Sel»cukBakt³r All rights reserved. April, 2008 i To my family; to my parents Ay»seand Mehmet Bakt³r, to my sisters Elif and Zeynep, and to my brothers Selim and O¸guz ii Abstract E±cient implementation of the number theoretic transform (NTT), also known as the discrete Fourier transform (DFT) over a ¯nite ¯eld, has been studied actively for decades and found many applications in digital signal processing. In 1971 SchÄonhageand Strassen proposed an NTT based asymptotically fast multiplication method with the asymptotic complexity O(m log m log log m) for multiplication of m-bit integers or (m ¡ 1)st degree polynomials. SchÄonhageand Strassen's algorithm was known to be the asymptotically fastest multipli- cation algorithm until FÄurerimproved upon it in 2007. However, unfortunately, both al- gorithms bear signi¯cant overhead due to the conversions between the time and frequency domains which makes them impractical for small operands, e.g. less than 1000 bits in length as used in many applications. With this work we investigate for the ¯rst time the practical application of the NTT, which found applications in digital signal processing, to ¯nite ¯eld multiplication with an emphasis on elliptic curve cryptography (ECC). -
Modular Arithmetic
CS 70 Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 5 Modular Arithmetic One way to think of modular arithmetic is that it limits numbers to a predefined range f0;1;:::;N ¡ 1g, and wraps around whenever you try to leave this range — like the hand of a clock (where N = 12) or the days of the week (where N = 7). Example: Calculating the day of the week. Suppose that you have mapped the sequence of days of the week (Sunday, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday) to the sequence of numbers (0;1;2;3;4;5;6) so that Sunday is 0, Monday is 1, etc. Suppose that today is Thursday (=4), and you want to calculate what day of the week will be 10 days from now. Intuitively, the answer is the remainder of 4 + 10 = 14 when divided by 7, that is, 0 —Sunday. In fact, it makes little sense to add a number like 10 in this context, you should probably find its remainder modulo 7, namely 3, and then add this to 4, to find 7, which is 0. What if we want to continue this in 10 day jumps? After 5 such jumps, we would have day 4 + 3 ¢ 5 = 19; which gives 5 modulo 7 (Friday). This example shows that in certain circumstances it makes sense to do arithmetic within the confines of a particular number (7 in this example), that is, to do arithmetic by always finding the remainder of each number modulo 7, say, and repeating this for the results, and so on. -
Discrete Mathematics
Slides for Part IA CST 2016/17 Discrete Mathematics <www.cl.cam.ac.uk/teaching/1617/DiscMath> Prof Marcelo Fiore [email protected] — 0 — What are we up to ? ◮ Learn to read and write, and also work with, mathematical arguments. ◮ Doing some basic discrete mathematics. ◮ Getting a taste of computer science applications. — 2 — What is Discrete Mathematics ? from Discrete Mathematics (second edition) by N. Biggs Discrete Mathematics is the branch of Mathematics in which we deal with questions involving finite or countably infinite sets. In particular this means that the numbers involved are either integers, or numbers closely related to them, such as fractions or ‘modular’ numbers. — 3 — What is it that we do ? In general: Build mathematical models and apply methods to analyse problems that arise in computer science. In particular: Make and study mathematical constructions by means of definitions and theorems. We aim at understanding their properties and limitations. — 4 — Lecture plan I. Proofs. II. Numbers. III. Sets. IV. Regular languages and finite automata. — 6 — Proofs Objectives ◮ To develop techniques for analysing and understanding mathematical statements. ◮ To be able to present logical arguments that establish mathematical statements in the form of clear proofs. ◮ To prove Fermat’s Little Theorem, a basic result in the theory of numbers that has many applications in computer science. — 16 — Proofs in practice We are interested in examining the following statement: The product of two odd integers is odd. This seems innocuous enough, but it is in fact full of baggage. — 18 — Proofs in practice We are interested in examining the following statement: The product of two odd integers is odd. -
EE 595 (PMP) Advanced Topics in Communication Theory Handout #1
EE 595 (PMP) Advanced Topics in Communication Theory Handout #1 Introduction to Cryptography. Symmetric Encryption.1 Wednesday, January 13, 2016 Tamara Bonaci Department of Electrical Engineering University of Washington, Seattle Outline: 1. Review - Security goals 2. Terminology 3. Secure communication { Symmetric vs. asymmetric setting 4. Background: Modular arithmetic 5. Classical cryptosystems { The shift cipher { The substitution cipher 6. Background: The Euclidean Algorithm 7. More classical cryptosystems { The affine cipher { The Vigen´erecipher { The Hill cipher { The permutation cipher 8. Cryptanalysis { The Kerchoff Principle { Types of cryptographic attacks { Cryptanalysis of the shift cipher { Cryptanalysis of the affine cipher { Cryptanalysis of the Vigen´erecipher { Cryptanalysis of the Hill cipher Review - Security goals Last lecture, we introduced the following security goals: 1. Confidentiality - ability to keep information secret from all but authorized users. 2. Data integrity - property ensuring that messages to and from a user have not been corrupted by communication errors or unauthorized entities on their way to a destination. 3. Identity authentication - ability to confirm the unique identity of a user. 4. Message authentication - ability to undeniably confirm message origin. 5. Authorization - ability to check whether a user has permission to conduct some action. 6. Non-repudiation - ability to prevent the denial of previous commitments or actions (think of a con- tract). 7. Certification - endorsement of information by a trusted entity. In the rest of today's lecture, we will focus on three of these goals, namely confidentiality, integrity and authentication (CIA). In doing so, we begin by introducing the necessary terminology. 1 We thank Professors Radha Poovendran and Andrew Clark for the help in preparing this material. -
Quaternion Algebra and Calculus
Quaternion Algebra and Calculus David Eberly, Geometric Tools, Redmond WA 98052 https://www.geometrictools.com/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Created: March 2, 1999 Last Modified: August 18, 2010 Contents 1 Quaternion Algebra 2 2 Relationship of Quaternions to Rotations3 3 Quaternion Calculus 5 4 Spherical Linear Interpolation6 5 Spherical Cubic Interpolation7 6 Spline Interpolation of Quaternions8 1 This document provides a mathematical summary of quaternion algebra and calculus and how they relate to rotations and interpolation of rotations. The ideas are based on the article [1]. 1 Quaternion Algebra A quaternion is given by q = w + xi + yj + zk where w, x, y, and z are real numbers. Define qn = wn + xni + ynj + znk (n = 0; 1). Addition and subtraction of quaternions is defined by q0 ± q1 = (w0 + x0i + y0j + z0k) ± (w1 + x1i + y1j + z1k) (1) = (w0 ± w1) + (x0 ± x1)i + (y0 ± y1)j + (z0 ± z1)k: Multiplication for the primitive elements i, j, and k is defined by i2 = j2 = k2 = −1, ij = −ji = k, jk = −kj = i, and ki = −ik = j. Multiplication of quaternions is defined by q0q1 = (w0 + x0i + y0j + z0k)(w1 + x1i + y1j + z1k) = (w0w1 − x0x1 − y0y1 − z0z1)+ (w0x1 + x0w1 + y0z1 − z0y1)i+ (2) (w0y1 − x0z1 + y0w1 + z0x1)j+ (w0z1 + x0y1 − y0x1 + z0w1)k: Multiplication is not commutative in that the products q0q1 and q1q0 are not necessarily equal. -
WORKSHEET # 7 QUATERNIONS the Set of Quaternions Are the Set Of
WORKSHEET # 7 QUATERNIONS The set of quaternions are the set of all formal R-linear combinations of \symbols" i; j; k a + bi + cj + dk for a; b; c; d 2 R. We give them the following addition rule: (a + bi + cj + dk) + (a0 + b0i + c0j + d0k) = (a + a0) + (b + b0)i + (c + c0)j + (d + d0)k Multiplication is induced by the following rules (λ 2 R) i2 = j2 = k2 = −1 ij = k; jk = i; ki = j ji = −k kj = −i ik = −j λi = iλ λj = jλ λk = kλ combined with the distributive rule. 1. Use the above rules to carefully write down the product (a + bi + cj + dk)(a0 + b0i + c0j + d0k) as an element of the quaternions. Solution: (a + bi + cj + dk)(a0 + b0i + c0j + d0k) = aa0 + ab0i + ac0j + ad0k + ba0i − bb0 + bc0k − bd0j ca0j − cb0k − cc0 + cd0i + da0k + db0j − dc0i − dd0 = (aa0 − bb0 − cc0 − dd0) + (ab0 + a0b + cd0 − dc0)i (ac0 − bd0 + ca0 + db0)j + (ad0 + bc0 − cb0 + da0)k 2. Prove that the quaternions form a ring. Solution: It is obvious that the quaternions form a group under addition. We just showed that they were closed under multiplication. We have defined them to satisfy the distributive property. The only thing left is to show the associative property. I will only prove this for the elements i; j; k (this is sufficient by the distributive property). i(ij) = i(k) = ik = −j = (ii)j i(ik) = i(−j) = −ij = −k = (ii)k i(ji) = i(−k) = −ik = j = ki = (ij)i i(jj) = −i = kj = (ij)j i(jk) = i(i) = (−1) = (k)k = (ij)k i(ki) = ij = k = −ji = (ik)i i(kk) = −i = −jk = (ik)k j(ii) = −j = −ki = (ji)i j(ij) = jk = i = −kj = (ji)j j(ik) = j(−j) = 1 = −kk = (ji)k j(ji) = j(−k) = −jk = −i = (jj)i j(jk) = ji = −k = (jj)k j(ki) = jj = −1 = ii = (jk)i j(kj) = j(−i) = −ji = k = ij = (jk)j j(kk) = −j = ik = (jk)k k(ii) = −k = ji = (ki)i k(ij) = kk = −1 = jj = (ki)j k(ik) = k(−j) = −kj = i = jk = (ki)k k(ji) = k(−k) = 1 = (−i)i = (kj)i k(jj) = k(−1) = −k = −ij = (kj)j k(jk) = ki = j = −ik = (kj)k k(ki) = kj = −i = (kk)i k(kj) = k(−i) = −ki = −j = (kk)j 1 WORKSHEET #7 2 3. -
Primality Testing for Beginners
STUDENT MATHEMATICAL LIBRARY Volume 70 Primality Testing for Beginners Lasse Rempe-Gillen Rebecca Waldecker http://dx.doi.org/10.1090/stml/070 Primality Testing for Beginners STUDENT MATHEMATICAL LIBRARY Volume 70 Primality Testing for Beginners Lasse Rempe-Gillen Rebecca Waldecker American Mathematical Society Providence, Rhode Island Editorial Board Satyan L. Devadoss John Stillwell Gerald B. Folland (Chair) Serge Tabachnikov The cover illustration is a variant of the Sieve of Eratosthenes (Sec- tion 1.5), showing the integers from 1 to 2704 colored by the number of their prime factors, including repeats. The illustration was created us- ing MATLAB. The back cover shows a phase plot of the Riemann zeta function (see Appendix A), which appears courtesy of Elias Wegert (www.visual.wegert.com). 2010 Mathematics Subject Classification. Primary 11-01, 11-02, 11Axx, 11Y11, 11Y16. For additional information and updates on this book, visit www.ams.org/bookpages/stml-70 Library of Congress Cataloging-in-Publication Data Rempe-Gillen, Lasse, 1978– author. [Primzahltests f¨ur Einsteiger. English] Primality testing for beginners / Lasse Rempe-Gillen, Rebecca Waldecker. pages cm. — (Student mathematical library ; volume 70) Translation of: Primzahltests f¨ur Einsteiger : Zahlentheorie - Algorithmik - Kryptographie. Includes bibliographical references and index. ISBN 978-0-8218-9883-3 (alk. paper) 1. Number theory. I. Waldecker, Rebecca, 1979– author. II. Title. QA241.R45813 2014 512.72—dc23 2013032423 Copying and reprinting. Individual readers of this publication, and nonprofit libraries acting for them, are permitted to make fair use of the material, such as to copy a chapter for use in teaching or research. Permission is granted to quote brief passages from this publication in reviews, provided the customary acknowledgment of the source is given. -
Math 412. §3.2, 3.3: Examples of Rings and Homomorphisms Professors Jack Jeffries and Karen E. Smith
Math 412. x3.2, 3.3: Examples of Rings and Homomorphisms Professors Jack Jeffries and Karen E. Smith DEFINITION:A subring of a ring R (with identity) is a subset S which is itself a ring (with identity) under the operations + and × for R. DEFINITION: An integral domain (or just domain) is a commutative ring R (with identity) satisfying the additional axiom: if xy = 0, then x or y = 0 for all x; y 2 R. φ DEFINITION:A ring homomorphism is a mapping R −! S between two rings (with identity) which satisfies: (1) φ(x + y) = φ(x) + φ(y) for all x; y 2 R. (2) φ(x · y) = φ(x) · φ(y) for all x; y 2 R. (3) φ(1) = 1. DEFINITION:A ring isomorphism is a bijective ring homomorphism. We say that two rings R and S are isomorphic if there is an isomorphism R ! S between them. You should think of a ring isomorphism as a renaming of the elements of a ring, so that two isomorphic rings are “the same ring” if you just change the names of the elements. A. WARM-UP: Which of the following rings is an integral domain? Which is a field? Which is commutative? In each case, be sure you understand what the implied ring structure is: why is each below a ring? What is the identity in each? (1) Z; Q. (2) Zn for n 2 Z. (3) R[x], the ring of polynomials with R-coefficients. (4) M2(Z), the ring of 2 × 2 matrices with Z coefficients. -
So You Think You Can Divide?
So You Think You Can Divide? A History of Division Stephen Lucas Department of Mathematics and Statistics James Madison University, Harrisonburg VA October 10, 2011 Tobias Dantzig: Number (1930, p26) “There is a story of a German merchant of the fifteenth century, which I have not succeeded in authenticating, but it is so characteristic of the situation then existing that I cannot resist the temptation of telling it. It appears that the merchant had a son whom he desired to give an advanced commercial education. He appealed to a prominent professor of a university for advice as to where he should send his son. The reply was that if the mathematical curriculum of the young man was to be confined to adding and subtracting, he perhaps could obtain the instruction in a German university; but the art of multiplying and dividing, he continued, had been greatly developed in Italy, which in his opinion was the only country where such advanced instruction could be obtained.” Ancient Techniques Positional Notation Division Yielding Decimals Outline Ancient Techniques Division Yielding Decimals Definitions Integer Division Successive Subtraction Modern Division Doubling Multiply by Reciprocal Geometry Iteration – Newton Positional Notation Iteration – Goldschmidt Iteration – EDSAC Positional Definition Galley or Scratch Factor Napier’s Rods and the “Modern” method Short Division and Genaille’s Rods Double Division Stephen Lucas So You Think You Can Divide? Ancient Techniques Positional Notation Division Yielding Decimals Definitions If a and b are natural numbers and a = qb + r, where q is a nonnegative integer and r is an integer satisfying 0 ≤ r < b, then q is the quotient and r is the remainder after integer division. -
Decimal Long Division EM3TLG1 G5 466Z-NEW.Qx 6/20/08 11:42 AM Page 557
EM3TLG1_G5_466Z-NEW.qx 6/20/08 11:42 AM Page 556 JE PRO CT Objective To extend the long division algorithm to problems in which both the divisor and the dividend are decimals. 1 Doing the Project materials Recommended Use During or after Lesson 4-6 and Project 5. ٗ Math Journal, p. 16 ,Key Activities ٗ Student Reference Book Students explore the meaning of division by a decimal and extend long division to pp. 37, 54G, 54H, and 60 decimal divisors. Key Concepts and Skills • Use long division to solve division problems with decimal divisors. [Operations and Computation Goal 3] • Multiply numbers by powers of 10. [Operations and Computation Goal 3] • Use the Multiplication Rule to find equivalent fractions. [Number and Numeration Goal 5] • Explore the meaning of division by a decimal. [Operations and Computation Goal 7] Key Vocabulary decimal divisors • dividend • divisor 2 Extending the Project materials Students express the remainder in a division problem as a whole number, a fraction, an ٗ Math Journal, p. 17 exact decimal, and a decimal rounded to the nearest hundredth. ٗ Student Reference Book, p. 54I Technology See the iTLG. 466Z Project 14 Decimal Long Division EM3TLG1_G5_466Z-NEW.qx 6/20/08 11:42 AM Page 557 Student Page 1 Doing the Project Date PROJECT 14 Dividing with Decimal Divisors WHOLE-CLASS 1. Draw lines to connect each number model with the number story that fits it best. Number Model Number Story ▼ Exploring Meanings for DISCUSSION What is the area of a rectangle 1.75 m by ?cm 50 0.10 ء Decimal Division 2 Sales tax is 10%. -
Basics of Math 1 Logic and Sets the Statement a Is True, B Is False
Basics of math 1 Logic and sets The statement a is true, b is false. Both statements are false. 9000086601 (level 1): Let a and b be two sentences in the sense of mathematical logic. It is known that the composite statement 9000086604 (level 1): Let a and b be two sentences in the sense of mathematical :(a _ b) logic. It is known that the composite statement is true. For each a and b determine whether it is true or false. :(a ^ :b) is false. For each a and b determine whether it is true or false. Both statements are false. The statement a is true, b is false. Both statements are true. The statement a is true, b is false. Both statements are true. The statement a is false, b is true. The statement a is false, b is true. Both statements are false. 9000086602 (level 1): Let a and b be two sentences in the sense of mathematical logic. It is known that the composite statement 9000086605 (level 1): Let a and b be two sentences in the sense of mathematical :a _ b logic. It is known that the composite statement is false. For each a and b determine whether it is true or false. :a =):b The statement a is true, b is false. is false. For each a and b determine whether it is true or false. The statement a is false, b is true. Both statements are true. The statement a is false, b is true. Both statements are true. The statement a is true, b is false.