Transcendentals, the Goldbach Conjecture, and the Twin Prime Conjecture
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K-Quasiderivations
K-QUASIDERIVATIONS CALEB EMMONS, MIKE KREBS, AND ANTHONY SHAHEEN Abstract. A K-quasiderivation is a map which satisfies both the Product Rule and the Chain Rule. In this paper, we discuss sev- eral interesting families of K-quasiderivations. We first classify all K-quasiderivations on the ring of polynomials in one variable over an arbitrary commutative ring R with unity, thereby extend- ing a previous result. In particular, we show that any such K- quasiderivation must be linear over R. We then discuss two previ- ously undiscovered collections of (mostly) nonlinear K-quasiderivations on the set of functions defined on some subset of a field. Over the reals, our constructions yield a one-parameter family of K- quasiderivations which includes the ordinary derivative as a special case. 1. Introduction In the middle half of the twientieth century|perhaps as a reflection of the mathematical zeitgeist|Lausch, Menger, M¨uller,N¨obauerand others formulated a general axiomatic framework for the concept of the derivative. Their starting point was (usually) a composition ring, by which is meant a commutative ring R with an additional operation ◦ subject to the restrictions (f + g) ◦ h = (f ◦ h) + (g ◦ h), (f · g) ◦ h = (f ◦ h) · (g ◦ h), and (f ◦ g) ◦ h = f ◦ (g ◦ h) for all f; g; h 2 R. (See [1].) In M¨uller'sparlance [9], a K-derivation is a map D from a composition ring to itself such that D satisfies Additivity: D(f + g) = D(f) + D(g) (1) Product Rule: D(f · g) = f · D(g) + g · D(f) (2) Chain Rule D(f ◦ g) = [(D(f)) ◦ g] · D(g) (3) 2000 Mathematics Subject Classification. -
Differentiation Rules (Differential Calculus)
Differentiation Rules (Differential Calculus) 1. Notation The derivative of a function f with respect to one independent variable (usually x or t) is a function that will be denoted by D f . Note that f (x) and (D f )(x) are the values of these functions at x. 2. Alternate Notations for (D f )(x) d d f (x) d f 0 (1) For functions f in one variable, x, alternate notations are: Dx f (x), dx f (x), dx , dx (x), f (x), f (x). The “(x)” part might be dropped although technically this changes the meaning: f is the name of a function, dy 0 whereas f (x) is the value of it at x. If y = f (x), then Dxy, dx , y , etc. can be used. If the variable t represents time then Dt f can be written f˙. The differential, “d f ”, and the change in f ,“D f ”, are related to the derivative but have special meanings and are never used to indicate ordinary differentiation. dy 0 Historical note: Newton used y,˙ while Leibniz used dx . About a century later Lagrange introduced y and Arbogast introduced the operator notation D. 3. Domains The domain of D f is always a subset of the domain of f . The conventional domain of f , if f (x) is given by an algebraic expression, is all values of x for which the expression is defined and results in a real number. If f has the conventional domain, then D f usually, but not always, has conventional domain. Exceptions are noted below. -
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 -
Lecture 1: What Is Calculus?
Math1A:introductiontofunctionsandcalculus OliverKnill, 2012 Lecture 1: What is Calculus? Calculus formalizes the process of taking differences and taking sums. Differences measure change, sums explore how things accumulate. The process of taking differences has a limit called derivative. The process of taking sums will lead to the integral. These two pro- cesses are related in an intimate way. In this first lecture, we look at these two processes in the simplest possible setup, where functions are evaluated only on integers and where we do not take any limits. About 25’000 years ago, numbers were represented by units like 1, 1, 1, 1, 1, 1,... for example carved in the fibula bone of a baboon1. It took thousands of years until numbers were represented with symbols like today 0, 1, 2, 3, 4,.... Using the modern concept of function, we can say f(0) = 0, f(1) = 1, f(2) = 2, f(3) = 3 and mean that the function f assigns to an input like 1001 an output like f(1001) = 1001. Lets call Df(n) = f(n + 1) − f(n) the difference between two function values. We see that the function f satisfies Df(n) = 1 for all n. We can also formalize the summation process. If g(n) = 1 is the function which is constant 1, then Sg(n) = g(0) + g(1) + ... + g(n − 1) = 1 + 1 + ... + 1 = n. We see that Df = g and Sg = f. Now lets start with f(n) = n and apply summation on that function: Sf(n) = f(0) + f(1) + f(2) + .. -
Can the Arithmetic Derivative Be Defined on a Non-Unique Factorization Domain?
1 2 Journal of Integer Sequences, Vol. 16 (2013), 3 Article 13.1.2 47 6 23 11 Can the Arithmetic Derivative be Defined on a Non-Unique Factorization Domain? Pentti Haukkanen, Mika Mattila, and Jorma K. Merikoski School of Information Sciences FI-33014 University of Tampere Finland [email protected] [email protected] [email protected] Timo Tossavainen School of Applied Educational Science and Teacher Education University of Eastern Finland P.O. Box 86 FI-57101 Savonlinna Finland [email protected] Abstract Given n Z, its arithmetic derivative n′ is defined as follows: (i) 0′ = 1′ =( 1)′ = ∈ − 0. (ii) If n = up1 pk, where u = 1 and p1,...,pk are primes (some of them possibly ··· ± equal), then k k ′ 1 n = n = u p1 pj−1pj+1 pk. X p X ··· ··· j=1 j j=1 An analogous definition can be given in any unique factorization domain. What about the converse? Can the arithmetic derivative be (well-)defined on a non-unique fac- torization domain? In the general case, this remains to be seen, but we answer the question negatively for the integers of certain quadratic fields. We also give a sufficient condition under which the answer is negative. 1 1 The arithmetic derivative Let n Z. Its arithmetic derivative n′ (A003415 in [4]) is defined [1, 6] as follows: ∈ (i) 0′ =1′ =( 1)′ = 0. − (ii) If n = up1 pk, where u = 1 and p1,...,pk P, the set of primes, (some of them possibly equal),··· then ± ∈ k k ′ 1 n = n = u p1 pj−1pj+1 pk. -
Dirichlet Product of Derivative Arithmetic with an Arithmetic Function Multiplicative a PREPRINT
DIRICHLET PRODUCT OF DERIVATIVE ARITHMETIC WITH AN ARITHMETIC FUNCTION MULTIPLICATIVE A PREPRINT Es-said En-naoui [email protected] August 21, 2019 ABSTRACT We define the derivative of an integer to be the map sending every prime to 1 and satisfying the Leibniz rule. The aim of this article is to calculate the Dirichlet product of this map with a function arithmetic multiplicative. 1 Introduction Barbeau [1] defined the arithmetic derivative as the function δ : N → N , defined by the rules : 1. δ(p)=1 for any prime p ∈ P := {2, 3, 5, 7,...,pi,...}. 2. δ(ab)= δ(a)b + aδ(b) for any a,b ∈ N (the Leibnitz rule) . s αi Let n a positive integer , if n = i=1 pi is the prime factorization of n, then the formula for computing the arithmetic derivative of n is (see, e.g., [1, 3])Q giving by : s α α δ(n)= n i = n (1) pi p Xi=1 pXα||n A brief summary on the history of arithmetic derivative and its generalizations to other number sets can be found, e.g., in [4] . arXiv:1908.07345v1 [math.GM] 15 Aug 2019 First of all, to cultivate analytic number theory one must acquire a considerable skill for operating with arithmetic functions. We begin with a few elementary considerations. Definition 1 (arithmetic function). An arithmetic function is a function f : N −→ C with domain of definition the set of natural numbers N and range a subset of the set of complex numbers C. Definition 2 (multiplicative function). A function f is called an multiplicative function if and only if : f(nm)= f(n)f(m) (2) for every pair of coprime integers n,m. -
Section 3.6: Chain Rule) 3.6.1
(Section 3.6: Chain Rule) 3.6.1 SECTION 3.6: CHAIN RULE LEARNING OBJECTIVES • Understand the Chain Rule and use it to differentiate composite functions. • Know when and how to apply the Generalized Power Rule and the Generalized Trigonometric Rules, which are based on the Chain Rule. PART A: THE IDEA OF THE CHAIN RULE Yul, Uma, and Xavier run in a race. Let y, u, and x represent their positions (in miles), respectively. dy • Assume that Yul always runs twice as fast as Uma. That is, = 2 . du (If Uma runs u miles, then Yul runs y miles, where y = 2 u .) du • Assume that Uma always runs three times as fast as Xavier. That is, = 3. dx dy • Therefore, Yul always runs six times as fast as Xavier. That is, = 6 . dx dy dy du This is an example of the Chain Rule, which states that: = . dx du dx Here, 6 = 2 3. WARNING 1: The Chain Rule is a calculus rule, not an algebraic rule, in that the “du”s should not be thought of as “canceling.” (Section 3.6: Chain Rule) 3.6.2 We can think of y as a function of u, which, in turn, is a function of x. Call these functions f and g, respectively. Then, y is a composite function of x; this function is denoted by f g . • In multivariable calculus, you will see bushier trees and more complicated forms of the Chain Rule where you add products of derivatives along paths, extending what we have done above. TIP 1: The Chain Rule is used to differentiate composite functions such as f g . -
Calculus Online Textbook Chapter 2
Contents CHAPTER 1 Introduction to Calculus 1.1 Velocity and Distance 1.2 Calculus Without Limits 1.3 The Velocity at an Instant 1.4 Circular Motion 1.5 A Review of Trigonometry 1.6 A Thousand Points of Light 1.7 Computing in Calculus CHAPTER 2 Derivatives The Derivative of a Function Powers and Polynomials The Slope and the Tangent Line Derivative of the Sine and Cosine The Product and Quotient and Power Rules Limits Continuous Functions CHAPTER 3 Applications of the Derivative 3.1 Linear Approximation 3.2 Maximum and Minimum Problems 3.3 Second Derivatives: Minimum vs. Maximum 3.4 Graphs 3.5 Ellipses, Parabolas, and Hyperbolas 3.6 Iterations x, + ,= F(x,) 3.7 Newton's Method and Chaos 3.8 The Mean Value Theorem and l'H8pital's Rule CHAPTER 2 Derivatives 2.1 The Derivative of a Function This chapter begins with the definition of the derivative. Two examples were in Chapter 1. When the distance is t2, the velocity is 2t. When f(t) = sin t we found v(t)= cos t. The velocity is now called the derivative off (t). As we move to a more formal definition and new examples, we use new symbols f' and dfldt for the derivative. 2A At time t, the derivativef'(t)or df /dt or v(t) is fCt -t At) -f (0 f'(t)= lim (1) At+O At The ratio on the right is the average velocity over a short time At. The derivative, on the left side, is its limit as the step At (delta t) approaches zero. -
Combinatorial Species and Labelled Structures Brent Yorgey University of Pennsylvania, [email protected]
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 1-1-2014 Combinatorial Species and Labelled Structures Brent Yorgey University of Pennsylvania, [email protected] Follow this and additional works at: http://repository.upenn.edu/edissertations Part of the Computer Sciences Commons, and the Mathematics Commons Recommended Citation Yorgey, Brent, "Combinatorial Species and Labelled Structures" (2014). Publicly Accessible Penn Dissertations. 1512. http://repository.upenn.edu/edissertations/1512 This paper is posted at ScholarlyCommons. http://repository.upenn.edu/edissertations/1512 For more information, please contact [email protected]. Combinatorial Species and Labelled Structures Abstract The theory of combinatorial species was developed in the 1980s as part of the mathematical subfield of enumerative combinatorics, unifying and putting on a firmer theoretical basis a collection of techniques centered around generating functions. The theory of algebraic data types was developed, around the same time, in functional programming languages such as Hope and Miranda, and is still used today in languages such as Haskell, the ML family, and Scala. Despite their disparate origins, the two theories have striking similarities. In particular, both constitute algebraic frameworks in which to construct structures of interest. Though the similarity has not gone unnoticed, a link between combinatorial species and algebraic data types has never been systematically explored. This dissertation lays the theoretical groundwork for a precise—and, hopefully, useful—bridge bewteen the two theories. One of the key contributions is to port the theory of species from a classical, untyped set theory to a constructive type theory. This porting process is nontrivial, and involves fundamental issues related to equality and finiteness; the recently developed homotopy type theory is put to good use formalizing these issues in a satisfactory way. -
Calculus Online Textbook Chapter 2 Sections 2.5 To
2.5 The Product and Quotient and Power Rules 71 26 True or false, with reason: 29 If h is measured in degrees, find lim,,, (sin h)/h. You could set your calculator in degree mode. (a) The derivative of sin2x is cos2x (b) The derivative of cos (- x) is sin x 30 Write down a ratio that approaches dyldx at x = z. For (c) A positive function has a negative second derivative. y = sin x and Ax = .O1 compute that ratio. (d) If y' is increasing then y" is positive. 31 By the square rule, the derivative of (~(x))~is 2u duldx. Take the derivative of each term in sin2x + cos2x = 1. 27 Find solutions to dyldx = sin 3x and dyldx = cos 3x. 32 Give an example of oscillation that does not come from physics. Is it simple harmonic motion (one frequency only)? 28 If y = sin 5x then y' = 5 cos 5x and y" = -25 sin 5x. So this function satisfies the differential equation y" = 33 Explain the second derivative in your own words. What are the derivatives of x + sin x and x sin x and l/sin x and xlsin x and sinnx? Those are made up from the familiar pieces x and sin x, but we need new rules. Fortunately they are rules that apply to every function, so they can be established once and for all. If we know the separate derivatives of two functions u and v, then the derivatives of u + v and uu and llv and u/u and un are immediately available. -
Arithmetic Subderivatives and Leibniz-Additive Functions
Arithmetic Subderivatives and Leibniz-Additive Functions Jorma K. Merikoski, Pentti Haukkanen Faculty of Information Technology and Communication Sciences, FI-33014 Tampere University, Finland jorma.merikoski@uta.fi, pentti.haukkanen@tuni.fi Timo Tossavainen Department of Arts, Communication and Education, Lulea University of Technology, SE-97187 Lulea, Sweden [email protected] Abstract We first introduce the arithmetic subderivative of a positive inte- ger with respect to a non-empty set of primes. This notion generalizes the concepts of the arithmetic derivative and arithmetic partial deriva- tive. More generally, we then define that an arithmetic function f is Leibniz-additive if there is a nonzero-valued and completely multi- plicative function hf satisfying f(mn)= f(m)hf (n)+ f(n)hf (m) for all positive integers m and n. We study some basic properties of such functions. For example, we present conditions when an arithmetic function is Leibniz-additive and, generalizing well-known bounds for the arithmetic derivative, establish bounds for a Leibniz-additive func- tion. arXiv:1901.02216v1 [math.NT] 8 Jan 2019 1 Introduction We let P, Z+, N, Z, and Q stand for the set of primes, positive integers, nonnegative integers, integers, and rational numbers, respectively. Let n ∈ Z+. There is a unique sequence (νp(n))p∈P of nonnegative integers (with only finitely many positive terms) such that n = pνp(n). (1) Y p∈P 1 We use this notation throughout. Let ∅= 6 S ⊆ P. We define the arithmetic subderivative of n with respect to S as ν (n) D (n)= n′ = n p . S S X p p∈S ′ In particular, nP is the arithmetic derivative of n, defined by Barbeau [1] and studied further by Ufnarovski and Ahlander˚ [6]. -
DIRICHLET PRODUCT of DERIVATIVE ARITHMETIC with an ARITHMETIC FUNCTION MULTIPLICATIVE Es-Said En-Naoui
DIRICHLET PRODUCT OF DERIVATIVE ARITHMETIC WITH AN ARITHMETIC FUNCTION MULTIPLICATIVE Es-Said En-Naoui To cite this version: Es-Said En-Naoui. DIRICHLET PRODUCT OF DERIVATIVE ARITHMETIC WITH AN ARITH- METIC FUNCTION MULTIPLICATIVE. 2019. hal-02267882 HAL Id: hal-02267882 https://hal.archives-ouvertes.fr/hal-02267882 Preprint submitted on 22 Aug 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Copyright DIRICHLET PRODUCT OF DERIVATIVE ARITHMETIC WITH AN ARITHMETIC FUNCTION MULTIPLICATIVE A PREPRINT Es-said En-naoui [email protected] August 21, 2019 ABSTRACT We define the derivative of an integer to be the map sending every prime to 1 and satisfying the Leibniz rule. The aim of this article is to calculate the Dirichlet product of this map with a function arithmetic multiplicative. 1 Introduction Barbeau [1] defined the arithmetic derivative as the function δ : N → N , defined by the rules : 1. δ(p)=1 for any prime p ∈ P := {2, 3, 5, 7,...,pi,...}. 2. δ(ab)= δ(a)b + aδ(b) for any a,b ∈ N (the Leibnitz rule) . s αi Let n a positive integer , if n = i=1 pi is the prime factorization of n, then the formula for computing the arithmetic derivative of n is (see, e.g., [1, 3])Q giving by : s α α δ(n)= n i = n (1) pi p Xi=1 pXα||n A brief summary on the history of arithmetic derivative and its generalizations to other number sets can be found, e.g., in [4] .