Fibonacci's Answer to Primality Testing?
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On the Prime Number Subset of the Fibonacci Numbers
Introduction to Sieves Fibonacci Numbers Fibonacci sequence mod a prime Probability of Fibonacci Primes Matrix Approach On the Prime Number Subset of the Fibonacci Numbers Lacey Fish1 Brandon Reid2 Argen West3 1Department of Mathematics Louisiana State University Baton Rouge, LA 2Department of Mathematics University of Alabama Tuscaloosa, AL 3Department of Mathematics University of Louisiana Lafayette Lafayette, LA Lacey Fish, Brandon Reid, Argen West SMILE Presentations, 2010 LSU, UA, ULL Sieve Theory Introduction to Sieves Fibonacci Numbers Fibonacci sequence mod a prime Probability of Fibonacci Primes Matrix Approach Basic Definitions What is a sieve? What is a sieve? A sieve is a method to count or estimate the size of “sifted sets” of integers. Well, what is a sifted set? A sifted set is made of the remaining numbers after filtering. Lacey Fish, Brandon Reid, Argen West LSU, UA, ULL Sieve Theory Introduction to Sieves Fibonacci Numbers Fibonacci sequence mod a prime Probability of Fibonacci Primes Matrix Approach Basic Definitions What is a sieve? What is a sieve? A sieve is a method to count or estimate the size of “sifted sets” of integers. Well, what is a sifted set? A sifted set is made of the remaining numbers after filtering. Lacey Fish, Brandon Reid, Argen West LSU, UA, ULL Sieve Theory Introduction to Sieves Fibonacci Numbers Fibonacci sequence mod a prime Probability of Fibonacci Primes Matrix Approach Basic Definitions History Two Famous and Useful Sieves Sieve of Eratosthenes Brun’s Sieve Lacey Fish, Brandon Reid, Argen West -
Triangular Numbers /, 3,6, 10, 15, ", Tn,'" »*"
TRIANGULAR NUMBERS V.E. HOGGATT, JR., and IVIARJORIE BICKWELL San Jose State University, San Jose, California 9111112 1. INTRODUCTION To Fibonacci is attributed the arithmetic triangle of odd numbers, in which the nth row has n entries, the cen- ter element is n* for even /?, and the row sum is n3. (See Stanley Bezuszka [11].) FIBONACCI'S TRIANGLE SUMS / 1 =:1 3 3 5 8 = 2s 7 9 11 27 = 33 13 15 17 19 64 = 4$ 21 23 25 27 29 125 = 5s We wish to derive some results here concerning the triangular numbers /, 3,6, 10, 15, ", Tn,'" »*". If one o b - serves how they are defined geometrically, 1 3 6 10 • - one easily sees that (1.1) Tn - 1+2+3 + .- +n = n(n±M and (1.2) • Tn+1 = Tn+(n+1) . By noticing that two adjacent arrays form a square, such as 3 + 6 = 9 '.'.?. we are led to 2 (1.3) n = Tn + Tn„7 , which can be verified using (1.1). This also provides an identity for triangular numbers in terms of subscripts which are also triangular numbers, T =T + T (1-4) n Tn Tn-1 • Since every odd number is the difference of two consecutive squares, it is informative to rewrite Fibonacci's tri- angle of odd numbers: 221 222 TRIANGULAR NUMBERS [OCT. FIBONACCI'S TRIANGLE SUMS f^-O2) Tf-T* (2* -I2) (32-22) Ti-Tf (42-32) (52-42) (62-52) Ti-Tl•2 (72-62) (82-72) (9*-82) (Kp-92) Tl-Tl Upon comparing with the first array, it would appear that the difference of the squares of two consecutive tri- angular numbers is a perfect cube. -
Twelve Simple Algorithms to Compute Fibonacci Numbers Arxiv
Twelve Simple Algorithms to Compute Fibonacci Numbers Ali Dasdan KD Consulting Saratoga, CA, USA [email protected] April 16, 2018 Abstract The Fibonacci numbers are a sequence of integers in which every number after the first two, 0 and 1, is the sum of the two preceding numbers. These numbers are well known and algorithms to compute them are so easy that they are often used in introductory algorithms courses. In this paper, we present twelve of these well-known algo- rithms and some of their properties. These algorithms, though very simple, illustrate multiple concepts from the algorithms field, so we highlight them. We also present the results of a small-scale experi- mental comparison of their runtimes on a personal laptop. Finally, we provide a list of homework questions for the students. We hope that this paper can serve as a useful resource for the students learning the basics of algorithms. arXiv:1803.07199v2 [cs.DS] 13 Apr 2018 1 Introduction The Fibonacci numbers are a sequence Fn of integers in which every num- ber after the first two, 0 and 1, is the sum of the two preceding num- bers: 0; 1; 1; 2; 3; 5; 8; 13; 21; ::. More formally, they are defined by the re- currence relation Fn = Fn−1 + Fn−2, n ≥ 2 with the base values F0 = 0 and F1 = 1 [1, 5, 7, 8]. 1 The formal definition of this sequence directly maps to an algorithm to compute the nth Fibonacci number Fn. However, there are many other ways of computing the nth Fibonacci number. -
Input for Carnival of Math: Number 115, October 2014
Input for Carnival of Math: Number 115, October 2014 I visited Singapore in 1996 and the people were very kind to me. So I though this might be a little payback for their kindness. Good Luck. David Brooks The “Mathematical Association of America” (http://maanumberaday.blogspot.com/2009/11/115.html ) notes that: 115 = 5 x 23. 115 = 23 x (2 + 3). 115 has a unique representation as a sum of three squares: 3 2 + 5 2 + 9 2 = 115. 115 is the smallest three-digit integer, abc , such that ( abc )/( a*b*c) is prime : 115/5 = 23. STS-115 was a space shuttle mission to the International Space Station flown by the space shuttle Atlantis on Sept. 9, 2006. The “Online Encyclopedia of Integer Sequences” (http://www.oeis.org) notes that 115 is a tridecagonal (or 13-gonal) number. Also, 115 is the number of rooted trees with 8 vertices (or nodes). If you do a search for 115 on the OEIS website you will find out that there are 7,041 integer sequences that contain the number 115. The website “Positive Integers” (http://www.positiveintegers.org/115) notes that 115 is a palindromic and repdigit number when written in base 22 (5522). The website “Number Gossip” (http://www.numbergossip.com) notes that: 115 is the smallest three-digit integer, abc, such that (abc)/(a*b*c) is prime. It also notes that 115 is a composite, deficient, lucky, odd odious and square-free number. The website “Numbers Aplenty” (http://www.numbersaplenty.com/115) notes that: It has 4 divisors, whose sum is σ = 144. -
Fibonacci Numbers
mathematics Article On (k, p)-Fibonacci Numbers Natalia Bednarz The Faculty of Mathematics and Applied Physics, Rzeszow University of Technology, al. Powsta´nców Warszawy 12, 35-959 Rzeszów, Poland; [email protected] Abstract: In this paper, we introduce and study a new two-parameters generalization of the Fibonacci numbers, which generalizes Fibonacci numbers, Pell numbers, and Narayana numbers, simultane- ously. We prove some identities which generalize well-known relations for Fibonacci numbers, Pell numbers and their generalizations. A matrix representation for generalized Fibonacci numbers is given, too. Keywords: Fibonacci numbers; Pell numbers; Narayana numbers MSC: 11B39; 11B83; 11C20 1. Introduction By numbers of the Fibonacci type we mean numbers defined recursively by the r-th order linear recurrence relation of the form an = b1an−1 + b2an−2 + ··· + bran−r, for n > r, (1) where r > 2 and bi > 0, i = 1, 2, ··· , r are integers. For special values of r and bi, i = 1, 2, ··· r, the Equality (1) defines well-known numbers of the Fibonacci type and their generalizations. We list some of them: Citation: Bednarz, N. On 1. Fibonacci numbers: Fn = Fn−1 + Fn−2 for n > 2, with F0 = F1 = 1. (k, p)-Fibonacci Numbers. 2. Lucas numbers: Ln = Ln−1 + Ln−2 for n > 2, with L0 = 2, L1 = 1. Mathematics 2021, 9, 727. https:// 3. Pell numbers: Pn = 2Pn−1 + Pn−2 for n > 2, with P0 = 0, P1 = 1. doi.org/10.3390/math9070727 4. Pell–Lucas numbers: Qn = 2Qn−1 + Qn−2 for n > 2, with Q0 = 1, Q1 = 3. 5. Jacobsthal numbers: Jn = Jn−1 + 2Jn−2 for n > 2, with J0 = 0, J1 = 1. -
On Repdigits As Product of Consecutive Fibonacci Numbers1
Rend. Istit. Mat. Univ. Trieste Volume 44 (2012), 393–397 On repdigits as product of consecutive Fibonacci numbers1 Diego Marques and Alain Togbe´ Abstract. Let (Fn)n≥0 be the Fibonacci sequence. In 2000, F. Luca proved that F10 = 55 is the largest repdigit (i.e. a number with only one distinct digit in its decimal expansion) in the Fibonacci sequence. In this note, we show that if Fn ··· Fn+(k−1) is a repdigit, with at least two digits, then (k, n) = (1, 10). Keywords: Fibonacci, repdigits, sequences (mod m) MS Classification 2010: 11A63, 11B39, 11B50 1. Introduction Let (Fn)n≥0 be the Fibonacci sequence given by Fn+2 = Fn+1 + Fn, for n ≥ 0, where F0 = 0 and F1 = 1. These numbers are well-known for possessing amaz- ing properties. In 1963, the Fibonacci Association was created to provide an opportunity to share ideas about these intriguing numbers and their applica- tions. We remark that, in 2003, Bugeaud et al. [2] proved that the only perfect powers in the Fibonacci sequence are 0, 1, 8 and 144 (see [6] for the Fibono- mial version). In 2005, Luca and Shorey [5] showed, among other things, that a non-zero product of two or more consecutive Fibonacci numbers is never a perfect power except for the trivial case F1 · F2 = 1. Recall that a positive integer is called a repdigit if it has only one distinct digit in its decimal expansion. In particular, such a number has the form a(10m − 1)/9, for some m ≥ 1 and 1 ≤ a ≤ 9. -
Product of Consecutive Tribonacci Numbers with Only One Distinct Digit
1 2 Journal of Integer Sequences, Vol. 22 (2019), 3 Article 19.6.3 47 6 23 11 Product of Consecutive Tribonacci Numbers With Only One Distinct Digit Eric F. Bravo and Carlos A. G´omez Department of Mathematics Universidad del Valle Calle 13 No 100 – 00 Cali Colombia [email protected] [email protected] Florian Luca School of Mathematics University of the Witwatersrand Johannesburg South Africa and Research Group in Algebraic Structures and Applications King Abdulaziz University Jeddah Saudi Arabia and Department of Mathematics University of Ostrava 30 Dubna 22, 701 03 Ostrava 1 Czech Republic [email protected] Abstract Let (Fn)n≥0 be the sequence of Fibonacci numbers. Marques and Togb´eproved that if the product Fn ··· Fn+ℓ−1 is a repdigit (i.e., a number with only distinct digit 1 in its decimal expansion), with at least two digits, then (ℓ,n)=(1, 10). In this paper, we solve the same problem with Tribonacci numbers instead of Fibonacci numbers. 1 Introduction A positive integer is called a repdigit if it has only one distinct digit in its decimal expansion. The sequence of numbers with repeated digits is included in Sloane’s On-Line Encyclopedia of Integer Sequences (OEIS) [11] as sequence A010785. In 2000, Luca [6] showed that the largest repdigit Fibonacci number is F10 = 55 and the largest repdigit Lucas number is L5 = 11. Motivated by the results of Luca [6], several authors have explored repdigits in general- izations of Fibonacci numbers and Lucas numbers. For instance, Bravo and Luca [1] showed 1 (3) that the only repdigit in the k-generalized Fibonacci sequence , is F8 = 44. -
Retrograde Renegades and the Pascal Connection: Repeating Decimals Represented by Fibonacci and Other Sequences Appearing from Right to Left
RETROGRADE RENEGADES AND THE PASCAL CONNECTION: REPEATING DECIMALS REPRESENTED BY FIBONACCI AND OTHER SEQUENCES APPEARING FROM RIGHT TO LEFT Marjorie Bicknell-Johnson Santa Clara Unified School District, Santa Clara, CA 95051 (Submitted October 1987) Repeating decimals show a surprisingly rich variety of number sequence patterns when their repetends are viewed in retrograde fashion, reading from the rightmost digit of the repeating cycle towards the left. They contain geometric sequences as well as Fibonacci numbers generated by an application of Pascal*s triangle. Further, fractions whose repetends end with successive terms of Fnm , m = 1, 2, ..., occurring in repeating blocks of k digits, are completely characterized, as well as fractions ending with Fnm+p or Lnm+p, th where Fn is the n Fibonacci number, F1 = 1, F2 = 1, Fn+i = Fn + Fn_19 th and Ln is the n Lucas number, 1. The Pascal Connection It is no surprise that 1/89 contains the sum of successive Fibonacci num- bers in its decimal expansion [2], [3], [4], [5], as 1/89 = .012358 13 21 34 However, 1/89 can also be expressed as the sum of successive powers of 11, as 1/89 = .01 .0011 .000121 .00001331 .0000014641 where 1/89 = 1/102 + ll/lO4 + 1'12/106 + ..., which is easily shown by summing the geometric progression. If the array above had the leading zeros removed and was left-justified, we would have Pascal's triangle in a form where the Fibonacci numbers arise as the sum of the rising diagonals. Notice that llk generates rows of Pascal's triangle, and that the columns of the array expressing 1/89 are the diagonals of Pascal's triangle. -
A Potentially Fast Primality Test
A Potentially Fast Primality Test Tsz-Wo Sze February 20, 2007 1 Introduction In 2002, Agrawal, Kayal and Saxena [3] gave the ¯rst deterministic, polynomial- time primality testing algorithm. The main step was the following. Theorem 1.1. (AKS) Given an integer n > 1, let r be an integer such that 2 ordr(n) > log n. Suppose p (x + a)n ´ xn + a (mod n; xr ¡ 1) for a = 1; ¢ ¢ ¢ ; b Á(r) log nc: (1.1) Then, n has a prime factor · r or n is a prime power. The running time is O(r1:5 log3 n). It can be shown by elementary means that the required r exists in O(log5 n). So the running time is O(log10:5 n). Moreover, by Fouvry's Theorem [8], such r exists in O(log3 n), so the running time becomes O(log7:5 n). In [10], Lenstra and Pomerance showed that the AKS primality test can be improved by replacing the polynomial xr ¡ 1 in equation (1.1) with a specially constructed polynomial f(x), so that the degree of f(x) is O(log2 n). The overall running time of their algorithm is O(log6 n). With an extra input integer a, Berrizbeitia [6] has provided a deterministic primality test with time complexity 2¡ min(k;b2 log log nc)O(log6 n), where 2kjjn¡1 if n ´ 1 (mod 4) and 2kjjn + 1 if n ´ 3 (mod 4). If k ¸ b2 log log nc, this algorithm runs in O(log4 n). The algorithm is also a modi¯cation of AKS by verifying the congruent equation s (1 + mx)n ´ 1 + mxn (mod n; x2 ¡ a) for a ¯xed s and some clever choices of m¡ .¢ The main drawback of this algorithm¡ ¢ is that it requires the Jacobi symbol a = ¡1 if n ´ 1 (mod 4) and a = ¡ ¢ n n 1¡a n = ¡1 if n ´ 3 (mod 4). -
There Are Infinitely Many Mersenne Primes
Scan to know paper details and author's profile There are Infinitely Many Mersenne Primes Fengsui Liu ZheJiang University Alumnus ABSTRACT From the entire set of natural numbers successively deleting the residue class 0 mod a prime, we retain this prime and possibly delete another one prime retained. Then we invent a recursive sieve method for exponents of Mersenne primes. This is a novel algorithm on sets of natural numbers. The algorithm mechanically yields a sequence of sets of exponents of almost Mersenne primes, which converge to the set of exponents of all Mersenne primes. The corresponding cardinal sequence is strictly increasing. We capture a particular order topological structure of the set of exponents of all Mersenne primes. The existing theory of this structure allows us to prove that the set of exponents of all Mersenne primes is an infnite set . Keywords and phrases: Mersenne prime conjecture, modulo algorithm, recursive sieve method, limit of sequence of sets. Classification: FOR Code: 010299 Language: English LJP Copyright ID: 925622 Print ISSN: 2631-8490 Online ISSN: 2631-8504 London Journal of Research in Science: Natural and Formal 465U Volume 20 | Issue 3 | Compilation 1.0 © 2020. Fengsui Liu. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncom-mercial 4.0 Unported License http://creativecommons.org/licenses/by-nc/4.0/), permitting all noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. There are Infinitely Many Mersenne Primes Fengsui Liu ____________________________________________ ABSTRACT From the entire set of natural numbers successively deleting the residue class 0 mod a prime, we retain this prime and possibly delete another one prime retained. -
Primality Testing and Sub-Exponential Factorization
Primality Testing and Sub-Exponential Factorization David Emerson Advisor: Howard Straubing Boston College Computer Science Senior Thesis May, 2009 Abstract This paper discusses the problems of primality testing and large number factorization. The first section is dedicated to a discussion of primality test- ing algorithms and their importance in real world applications. Over the course of the discussion the structure of the primality algorithms are devel- oped rigorously and demonstrated with examples. This section culminates in the presentation and proof of the modern deterministic polynomial-time Agrawal-Kayal-Saxena algorithm for deciding whether a given n is prime. The second section is dedicated to the process of factorization of large com- posite numbers. While primality and factorization are mathematically tied in principle they are very di⇥erent computationally. This fact is explored and current high powered factorization methods and the mathematical structures on which they are built are examined. 1 Introduction Factorization and primality testing are important concepts in mathematics. From a purely academic motivation it is an intriguing question to ask how we are to determine whether a number is prime or not. The next logical question to ask is, if the number is composite, can we calculate its factors. The two questions are invariably related. If we can factor a number into its pieces then it is obviously not prime, if we can’t then we know that it is prime. The definition of primality is very much derived from factorability. As we progress through the known and developed primality tests and factorization algorithms it will begin to become clear that while primality and factorization are intertwined they occupy two very di⇥erent levels of computational di⇧culty. -
1 Problem Summary & Motivation 2 Previous Work
Primality Testing Report CS6150 December 9th, 2011 Steven Lyde, Ryan Lindeman, Phillip Mates 1 Problem Summary & Motivation Primes are used pervasively throughout modern society. E-commerce, privacy, and psuedorandom number generators all make heavy use of primes. There currently exist many different primality tests, each with their distinct advantages and disadvantages. These tests fall into two general categories, probabilistic and deterministic. Probabilistic algorithms determine with a certain probability that a number is prime, while deterministic algorithms prove whether a number is prime or not. Probabilistic algorithms are fast but contain error. Deterministic algorithms are much slower but produce proofs of correctness with no potential for error. Furthermore, some deterministic algorithms don't have proven upper bounds on their run time complexities, relying on heuristics. How can we combine these algorithms to create a fast, deterministic primality proving algorithm? Is there room for improvement of existing algorithms by hybridridizing them? This is an especially interesting question due to the fact that AKS is relatively new and unexplored. These are the questions we will try to answer in this report. 2 Previous Work For this project we focused on three algorithms, Miller-Rabin, Elliptic Curve Primality Proving (ECPP), and AKS. What is the state of the art for these different implementations? 2.1 ECPP Originally a purely theoretical construct, elliptic curves have recently proved themselves useful in many com- putational applications. Their elegance and power provide considerable leverage in primality proving and factorization studies [6]. From our reference [6], the following describes Elliptic curve fundamentals. Consider the following two or three variable homogeneous equations of degree-3: ax3 + bx2y + cxy2 + dy3 + ex2 + fxy + gy2 + hx + iy + j = 0 ax3 + bx2y + cxy2 + dy3 + ex2z + fxyz + gy2z + hxz2 + iyz2 + jz3 = 0 For these to be degree-3 polynomials, we must ensure at least a, b, c, d, or j is nonzero.