Analogues Between Leibniz's Harmonic Triangle and Pascal's Arithmetic Triangle
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Induction for Tetrahedral Numbers
Induction for Tetrahedral Numbers Teacher Notes and Answers 7 8 9 10 11 12 TI-84PlusCE™ Investigation Student 50 min Teacher Notes: “Inductive Tetrahedrals” is part two of this three-part series. [Refer to Inductive Whole Numbers for Part One]. Part two follows a similar format to part one but is slightly more challenging from an algebraic perspective. Teachers can use part two in this series as a more independent environment for students focusing on providing feedback rather than instruction. A set of Power Point slides is provided that can be used to enhance the visual aspect of this lesson, the ability to visualise solutions can give problems more meaning. “Cubes and Squares” is part three of this three-part series. This section is designed as an assessment tool, marks have been allocated to each question. The questions are more reflective of the types of questions that students might experience in the short answer section of an examination where calculators may be used to derive answers or to simply verify by-hand solutions. A set of Power Point slides is provided that can be used to introduce students to this task. Introduction The purpose of this activity is to use exploration and observation to establish a rule for the sum of the first n tetrahedral numbers then use proof by mathematical induction to show that the rule is true for all whole numbers. What are the Tetrahedral numbers? The prefix ‘tetra’ refers to the quantity four, so it is not surprising that a tetrahedron consists of four faces, each face is a triangle. -
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. -
Tetrahedral Numbers
Tetrahedral Numbers Student Worksheet TI-30XPlus Activity Student 50 min 7 8 9 10 11 12 MathPrint™ Finding Patterns What are the Tetrahedral numbers? The prefix ‘tetra’ refers to the quantity four, so it is not surprising that a tetrahedron consists of four faces, each face is a triangle. This triangular formation can sometimes be found in stacks of objects. The series of diagrams below shows the progression from one layer to the next for a stack of spheres. Row Number 1 2 3 4 5 Items Added Complete Stack Question: 1. Create a table of values for the row number and the corresponding quantity of items in a complete stack. Question: 2. Create a table of values for the row number and the corresponding quantity of items that are added to the stack. Question: 3. The calculator screen shown here illustrates how to determine the fifth tetrahedral number. The same command could be used to determine any of the tetrahedral numbers. Explain how this command is working. Question: 4. Verify that the calculation shown opposite is the same as the one generated in Question 3. Question: 5. Enter the numbers 1, 2 … 10 in List 1 on the calculator. Enter the first 10 tetrahedral numbers in List 2. Once the values have been entered try the following: a) Quadratic regression using List 1 and List 2. Check the validity of the result via substitution. b) Cubic regression using List 1 and List 2. Check the validity of the result via substitution. Texas Instruments 2021. You may copy, communicate and modify this material for non-commercial educational purposes Author: P. -
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 -
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. -
On the Euler Integral for the Positive and Negative Factorial
On the Euler Integral for the positive and negative Factorial Tai-Choon Yoon ∗ and Yina Yoon (Dated: Dec. 13th., 2020) Abstract We reviewed the Euler integral for the factorial, Gauss’ Pi function, Legendre’s gamma function and beta function, and found that gamma function is defective in Γ(0) and Γ( x) − because they are undefined or indefinable. And we came to a conclusion that the definition of a negative factorial, that covers the domain of the negative space, is needed to the Euler integral for the factorial, as well as the Euler Y function and the Euler Z function, that supersede Legendre’s gamma function and beta function. (Subject Class: 05A10, 11S80) A. The positive factorial and the Euler Y function Leonhard Euler (1707–1783) developed a transcendental progression in 1730[1] 1, which is read xedx (1 x)n. (1) Z − f From this, Euler transformed the above by changing e to g for generalization into f x g dx (1 x)n. (2) Z − Whence, Euler set f = 1 and g = 0, and got an integral for the factorial (!) 2, dx ( lx )n, (3) Z − where l represents logarithm . This is called the Euler integral of the second kind 3, and the equation (1) is called the Euler integral of the first kind. 4, 5 Rewriting the formula (3) as follows with limitation of domain for a positive half space, 1 1 n ln dx, n 0. (4) Z0 x ≥ ∗ Electronic address: [email protected] 1 “On Transcendental progressions that is, those whose general terms cannot be given algebraically” by Leonhard Euler p.3 2 ibid. -
Classic Model of Perception Pattern Recognition Challenge Robust
Classic Model of Perception Perception & Pattern Recognition Pattern Recognition Why is pattern recognition difficult? • Process of connecting perceptual • Accomplished with incomplete or information w/info in LTM ambiguous information – Visual Pattern Recognition – Auditory Pattern Recognition (Speech) – Importance of Context Challenge Robust • Many different exemplars are recognized • Used by on-line vendors to test for as being the same presence of a human (Turing Test) 1 Models of Pattern Recognition Template Matching • Template Models • Retinal image matched to pre- • Feature Models existing patterns • Neural Network Models • Recognition – when retinal image matches • Prototype Models pattern • Examples – Check Reading – Zip Code Sorting Problems • Image falls on wrong part of retina • Image different size than template • Orientation • Templates, templates, templates • New objects? Models of Pattern Recognition Feature Theory • Template Models • Stimuli broken down into features • Feature Models • Features combine and recombine • Prototype Models • Objects defined by • Neural Network Models – Constituent features – Relationships between features 2 Letter Recognition Pandemonium W A depiction of Selfridge’s (1959) Pandemonium model Supporting Evidence Hubel & Wiesel • Edge detection cells in cats (Hubel & • Different cells like different features Wiesel, 1962) Gibson, Shapiro, & Yonas (1968) Groupings by RT • Analyze letters in terms of features • Ask people to determine if 2 letters are the same vs. different • Compare the clustering of letters in the reaction time task to the similarities of the features 3 Find the ‘Z’ vs ‘Q’ Object Perception EIMVWX CDG9RU XMZWVI RDQOCG VIEXWM GRDCOU WVXQIE DCURZG Faster to find ‘Z’ on the right, Faster to find ‘Q’ on the left (due to letters w/similar features in the surround) Geons Degraded Objects • Can help explain recognition of degraded • Disrupt Geon • Deletion Control – (midsegment) objects – (concavity) Limitations of geons Features vs. -
~Umbers the BOO K O F Umbers
TH E BOOK OF ~umbers THE BOO K o F umbers John H. Conway • Richard K. Guy c COPERNICUS AN IMPRINT OF SPRINGER-VERLAG © 1996 Springer-Verlag New York, Inc. Softcover reprint of the hardcover 1st edition 1996 All rights reserved. No part of this publication may be reproduced, stored in a re trieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Published in the United States by Copernicus, an imprint of Springer-Verlag New York, Inc. Copernicus Springer-Verlag New York, Inc. 175 Fifth Avenue New York, NY lOOlO Library of Congress Cataloging in Publication Data Conway, John Horton. The book of numbers / John Horton Conway, Richard K. Guy. p. cm. Includes bibliographical references and index. ISBN-13: 978-1-4612-8488-8 e-ISBN-13: 978-1-4612-4072-3 DOl: 10.l007/978-1-4612-4072-3 1. Number theory-Popular works. I. Guy, Richard K. II. Title. QA241.C6897 1995 512'.7-dc20 95-32588 Manufactured in the United States of America. Printed on acid-free paper. 9 8 765 4 Preface he Book ofNumbers seems an obvious choice for our title, since T its undoubted success can be followed by Deuteronomy,Joshua, and so on; indeed the only risk is that there may be a demand for the earlier books in the series. More seriously, our aim is to bring to the inquisitive reader without particular mathematical background an ex planation of the multitudinous ways in which the word "number" is used. -
The Frobenius Number for Sequences of Binomial Coefficients
The Frobenius number for sequences of binomial coefficients Aureliano M. Robles-Perez´ Universidad de Granada A talk based on a joint work with Jose´ Carlos Rosales (J. Number Theory 186 (2018) 473–492.) INdAM meeting: International meeting on numerical semigroups - Cortona 2018 3-7th September 2018 A. M. Robles-Perez´ (UGR) Frobenius number and binomial sequences IMNS-2018 1 / 29 Frobenius coin problem I Given relatively prime positive integers a1;:::;an, n ≥ 2, find a formula to compute the largest integer that is not representable as a non-negative integer linear combination of a1;:::;an. I F(a1;:::;an) (the Frobenius number of the set fa1;:::;ang) denotes the solution of the previous problem. I F(a1;a2) = a1a2 − a1 − a2: I Frobenius problem is open for n ≥ 3. ∗ Curtis: it is impossible to find a polynomial formula that computes the Frobenius number if n = 3. ∗ Ram´ırez Alfons´ın: the problem is NP-hard for n variables. A. M. Robles-Perez´ (UGR) Frobenius number and binomial sequences IMNS-2018 2 / 29 Particular cases I Arithmetic and almost arithmetic sequences (A. Brauer; M. Lewin; J. B. Roberts; E. S. Selmer), I Fibonacci sequences (J. M. Mar´ın, J. L. Ram´ırez Alfons´ın and M. P. Revuelta), I geometric sequences (D. C. Ong and V. Ponomarenko), I Mersenne, repunit, and Thabit sequences (J. C. Rosales, M. B. Branco, D. Torrao),˜ I squares and cubes sequences (M. Lepilov, J. O’Rourke and I. Swanson; A. Moscariello), I ... A. M. Robles-Perez´ (UGR) Frobenius number and binomial sequences IMNS-2018 3 / 29 Particular cases: motivations (i) I Brauer: n − 2 F(n;n + 1;:::;n + k − 1) = + 1 n − 1: k − 1 I Baker (conjecture): If Tn is the nth triangular (or triangle) number, then 8 3 2 > 6n +18n +12n−8 if n is even; <> 8 F(Tn;Tn+1;Tn+2) = :> 6n3+12n2−6n−20 8 if n is odd. -
Pascal's Triangle
PASCAL’S TRIANGLE Todd Cochrane 1 / 29 Robert’s Dream In his dream, Robert and the Number Devil build a giant pyramid of blocks. Being two-dimensional they agree to call it a triangle of blocks. Then they start marking the blocks with a felt pen, labeling the top block 1, the next two 1,1, and then each block thereafter the sum of the two values above it. Thus, the third row is 1,2,1, the fourth 1,3,3,1 and so on. 2 / 29 Pascal’s Triangle 1 1 1 1 2 1 1 3 3 1 1 4 6 4 1 ; 1 5 10 10 5 1 1 6 15 20 15 6 1 1 7 21 35 35 21 7 1 1 8 28 56 70 56 28 8 1 Rule: Each term in Pascal’s triangle is the sum of the two terms above it. Pascal’s triangle is named after Blaise Pascal, who put together many of its properties in 1653. 3 / 29 Triangle Numbers. Diagonal 3: 1; 3; 6; 10; 15; 21;::: Diagonal 4: 1; 4; 10; 20; 35; 56;::: Tetrahedral Numbers. Diagonal’s of Pascal’s Triangle 1 1 1 1 2 1 1 3 3 1 1 4 6 4 1 ; 1 5 10 10 5 1 1 6 15 20 15 6 1 1 7 21 35 35 21 7 1 1 8 28 56 70 56 28 8 1 Diagonals: Note, the Southwesterly and Southeasterly diagonals are the same. Diagonal 1: 1; 1; 1; 1;::: (yawn) Diagonal 2: 1; 2; 3; 4; 5; : : : ::: Natural Numbers . -
The Personality of the Integers from One to One Gross
ETY CI O O F S The Dozenal Society of America E 0 1 A L X 2 M A 9 3 E The Personality of the Integers N R E 8 4 I Z 7 5 C from One to One Gross A O 6 D Jay Schiffman S Introduction n his fascinating paperback entitled The Lore of integer that lends a special personality to them es- I Large Numbers,1 author Philip J. Davis devotes a pecially when one resorts to duodecimals. Finally, detailed chapter to The Personality of Numbers and my goal is to furnish number theoretic characteris- provides a list entitled Who’s Who Among The Inte- tics related to each of the integers that are perhaps gers from One to One Hundred in the decimal base. omitted from the average list. Our initial task is to The purpose of my paper is to expand his list to the present the reader with a dictionary which is termed first gross and present additional characteristics of A Glossary of Symbols and Terms. These symbols these integers. It is indeed the uniqueness of each and terms will be illustrated in this section. A Glossary of Symbols and Terms 1. n! The factorial of the positive integer n. We de- 6. Ln The nth Lucas Number. n is a Lucas Number fined n!, known as n factorial, recursively as if n satisfied the Lucas Sequence defined recur- follows: 0! = 1 and (n + 1)! = (n + 1)(n!). sively as follows: L1 = 1, L2 = 3, and Ln = Hence 1! = (0 + 1)(0!) = (1)(1) = 1 and Ln−2 + Ln−1 for n ≥ 3. -
History and Idealism: the Theory of R. G. Collingwood
History and Idealism: The Theory of R. G. Collingwood Saul A. Kripke This is the final submitted version of the following article: Kripke, S. A. (2017), History and Idealism: The Theory of R. G. Collingwood. Collingwood and British Idealism Studies, 23: 9-29, which has been published in final form by Imprint Academic at https://www.ingentaconnect.com/content/imp/col/2017/00000023/00 000001/art00002. 1 History and Idealism: The Theory of R. G. Collingwood1 Saul A. Kripke In this essay, the phrase, “the idealist theory of history,” will denote the idealist cultural philosophy of history, as proposed by Collingwood and others, not the idealist speculative philosophy, as adumbrated by Hegel and various kindred spirits. The distinction between a speculative and cultural philosophy of history, as formulated by Walsh (1951: 13-15), contrasts the philosopher’s “speculative” task (or alleged task) of formulating the teleology or ultimate meaning of history with the “cultural” task of investigating the epistemological foundations of historical research.2 A speculative idealist theory of history will attempt to show, as Hegel has done, that history progresses according to dialectical laws of “thought” or “world spirit,”3 but a critical (or cultural) idealist view of history need make no such commitment.4 1 This paper was written for an undergraduate history course at Harvard, in my third (junior) year of college (1960-1; second term). My teacher, Richard T. Vann, urged me to publish it even then. Since a couple of Collingwood scholars expressed interest in this paper, I have finally followed Vann’s advice. I have kept the paper pretty much as it was, with very minor stylistic revisions (such as replacing the then conventional use of ‘he’ by an alternation of ‘he’ and ‘she’).