The Logarithmic Derivative on the Elliptic Curve

Total Page:16

File Type:pdf, Size:1020Kb

The Logarithmic Derivative on the Elliptic Curve The Logarithmic Derivative Homomorphism on an Elliptic Curve De…ned over Constants: Addendum Phyllis J. Cassidy City College of CUNY November 16, 2007 1 Introductory remarks At the Friday meeting, the logarithmic derivative map came into play, since it is the analogue for elliptic curves de…ned over constants of the Manin homo- morphism. Let be a di¤erentially closed di¤erential …eld, with derivation d G operator = dt , and with (algebraically closed) constant …eld of character- istic 0. Note that is also algebraically closed. Let x; y; z Cbe di¤erential G indeterminates. For any subset S of P2( ), and sub…eld of , set S ( ) equal to the set of points in that are rationalG over . Let E L= E (G ) be theL elliptic L L G curve in P2( ) de…ned by the a¢ ne Legendre equation G 2 y = (x e1)(x e2)(x e3); e1; e2; e3 distinct elements of : C We equip E with the Kolchin topology, making it a di¤erential algebraic group. # Let Etors be the torsion group of E, and denote by E the Kolchin closure of # Etors . It is clear that E = E( ). Let ` : E Ga ( ) be the logarithmic derivative map. Dating back toC Kolchin’s 1953! paper,G the fact that ` is a surjective di¤erential rational homomorphism with kernel E# has been crucial in the development of the Galois theory of di¤erential …elds. An essential hypothesis is that E be de…ned over constants. The Manin homomorphism is its replacement in the case where E does not descend to constants. In this addendum to Friday’stalk, I will show that ` is everywhere de…ned and surjective, and that its kernel is E#. For the fact that it is a group homomorphism, I refer you to Kovacic, “On the inverse problem in the Galois theory of di¤erential …elds: II”, Annals of Mathematics, 93, 269-284. The logarithmic derivative map is the dual of the invariant di¤erential on the elliptic curve. However, I would like to discuss it ab initio without reference to this – and in the language of di¤erential algebraic groups. mainly because it is a good exercise in de…ning a global section of the di¤erential algebraic variety E by patching di¤erential rational functions on an a¢ ne open cover. I hope to give a proof in a later note that ` is an invariant derivation on E, thus 1 proving that it is a homomorphism of di¤erential algebraic groups. The proof of surjectivity in this language is very easy. 2 The kernel of ` In this section, we will de…ne ` on the a¢ ne open yz = 0, and assume that is everywhere de…ned on E. We will show that ker ` = E6 #. The de…ning equation of E = E ( ) is G 2 y = (x e1)(x e2)(x e3); e1; e2; e3 distinct elements of : C The associated homogeneous equation is 2 y z = (x e1z)(x e2z)(x e3z): Let U be the a¢ ne open subset yz = 0 of P2 ( ). We identify the a¢ ne open subset z = 0 of the projective plane6 with the a¢G ne (x; y)-plane. So, U is the complement6 of the x-axis. We de…ne the logarithmic derivative map ` : E (U) Ga ( ) ! G by the formula x `(x; y) = 0 : y The constant trace E ( ) of E is a Zariski dense connected di¤erential alge- braic subgroup of E ( ). AsC we remarked in the introduction, it is the Kolchin # G closure E of Etors . We will show that ker (` U) = U ( ). j C 2 y = (x e1)(x e2)(x e3): 3 2 = x (e1 + e2 + e3)x + (e1e2 + e1e3 + e2e3) x e1e2e3: Let 3 2 P (x) = x (e1 + e2 + e3)x + (e1e2 + e1e3 + e2e3) x e1e2e3: y2 = P (x) : Set F (x; y) = y2 P (x): @F @F dP = 2y: = : @y @x dx @F dP y = x @y 0 dx 0 2 Let (x; y) U. Since E is a smooth algebraic curve, either @F or dP fails to 2 @y dx vanish at (x; y). @F = 2y = 0 y = 0 @y () P (x) = 0 () x = e1; e2; e3: () So, the fact that the roots of P (x) are distinct guarantees the smoothness of the elliptic curve! We have eliminated them from U. @F (x; y) U, = 0 at (x; y): 8 2 @y 6 (x; y) U; x0 = 0 y0 = 0: 8 2 () x ` (x; y) = 0 : y ker (` U) = U ( ) : j C U ( ) is an open subset of the Kolchin closed subgroup E (C). Suppose ` is everywhereC de…ned on E, hence on E ( ). It follows that since it vanishes on a dense open subset of E(C) it will vanishC on all of E( ): Can it vanish on a point (x; y; z) not in E(C)? What are the points in theC complement of U? If z = 0, then (x; y; z) = (0; 1; 0), the unique point at . If y = 0, then x = e1 1 or e2 or e3. These 4 points are all in E(C). Thus, ker ` = E( ). C 3 ` is an everywhere de…ned di¤erential ratio- nal function on E. To show this, we must extend the de…nition to an open cover of E. So, we cover E by a …nite number of a¢ ne open subsets on which the logarithmic derivative map is de…ned by everywhere di¤erential rational functions that agree on the intersections. I decided to transform the Legendre form of the de…ning equation of E to the Weierstrass form, which is easier, since it is missing the second degree term in the cubic P (x). So, we choose a so that the translation x x a, which …xes y, removes the degree 2 term.2C This transformation does not7! change the formula for the logarithmic derivative in (x; y) coordinates. It su¢ ces to show that ` is a global section of the di¤erential structure sheaf on E, now de…ned by the Weierstrass equation 2 3 2 3 y = x g2x g3; g2; g3 ; 4g2 27g3 = 0: 2 3 2 3 2 C 6 y z = x g2xz g3z : 3 2 3 In Weierstrass form,the inequation 4g2 27g3 = 0, which tells us that the discriminant of the cubic vanishes nowhere on the6 curve, guarantees that its roots are distinct, and the elliptic curve is smooth, as we saw in the …rst section. 3.1 The a¢ ne open yz = 0: 6 As usual, we de…ne ` : E E ( ), by the formulae ! G x ` (x; y) = 0 ; y zx0 xz 0 ` (x; y; z) = yz …rst in a¢ ne coordinates, then in homogeneous coordinates, on the a¢ ne open U1 : z = 0; y = 0. ` is everywhere de…ned on U1. ` is not everywhere de…ned on the6 entire6 open subsetz = 0 of E. We have not covered the points (x; y), y = 0. We need an open neighborhood6 of these 3 points on E. 6 y = 0 x is a root of the cubic () 3 Q (x) = x g2x g3: dQ 2 Since all the roots are simple roots, = 3x g2 does not vanish at any of dx these points in E. Let U2 be the a¢ ne open subset of the open a¢ ne subset 2 z = 0, de…ned by the inequation 3x g2 = 0. De…ne 6 6 2y0 ` (x; y) = 2 ; 3x g2 2 (zy0 yz0) ` (x; y; z) = 2 2 ; 3x g2z on U2 What’smissing? We havent shown that the log derivative is de…ned on an open neighborhood of the unique point at in…nity on E = (0; 1; 0), which we get by setting z = 0 in the homogenized equation. Now,1 set y = 1 in the homogeneous equation for E. We now have a¢ ne coordinates (x; z), and we get the de…ning a¢ ne equation and its homogenization 3 2 3 z = x g2xz g3z ; 2 3 2 3 y z = x g2xz g3z : satis…ed by = (0; 1) : The de…ning polynomial of E in the (x; z) plane is 1 3 2 3 P (x; z) = z x g2xz g3z : We follow the technique used to capture the roots of the cubic: We use the fact that E is smooth. Therefore, one of the partial derivatives of P (x; z) must be nonzero at . Indeed, although @P vanishes at = (0; 0) ; 1 @x 1 @P = 1 + 2g xz + 3g z2 @z 2 3 4 does not vanish. So, to capture , we use the same trick we used to de…ne ` 1 at the 3 roots of the cubic. Let U3 be the a¢ ne open de…ned by the inequation 2 y = 0; 1 + 2g2xz + 3g3z = 0. De…ne 6 6 2x0 ` (x; z) = 2 ; 1 + 2g2xz + 3g3z 2(yx0 xy0) ` (x; y; z) = 2 2 : y + 2g2xz + 3g3z The union of the three a¢ ne open sets equals E = E ( ). The di¤erential rational functions de…ning the logarithmic derivative on theseG open subsets are everywhere de…ned. However, we must verify agreement on the intersections U1 U2;U1 U3;U2 U3. We will then have a global di¤erential rational map\ on E.\ Note that\ although for ease of exposition I have avoided it, the logarithmic derivative function is actually a di¤erential polynomial function on E. 3.1.1 U1 U2 \ 2 2 We must show that if z = 0; y = 0; 3x g2 = 0; the formulae for ` agree. On the one hand, 6 6 6 x ` (x; y) = 0 : y On the other hand, 2y0 ` (x; y) = 2 3x g2 But, recall 2 dQ 2 y = Q (x) ; and = 3x g2: dx 2 3 Di¤erentiate y = Q(x); where Q(x) = x g2x g3 dQ 2yy = x : 0 dx 0 So, 2 3x g2 x0 = 2yy0; and the two di¤erential rational functions agree on the intersection.
Recommended publications
  • Which Moments of a Logarithmic Derivative Imply Quasiinvariance?
    Doc Math J DMV Which Moments of a Logarithmic Derivative Imply Quasi invariance Michael Scheutzow Heinrich v Weizsacker Received June Communicated by Friedrich Gotze Abstract In many sp ecial contexts quasiinvariance of a measure under a oneparameter group of transformations has b een established A remarkable classical general result of AV Skorokhod states that a measure on a Hilb ert space is quasiinvariant in a given direction if it has a logarithmic aj j derivative in this direction such that e is integrable for some a In this note we use the techniques of to extend this result to general oneparameter families of measures and moreover we give a complete char acterization of all functions for which the integrability of j j implies quasiinvariance of If is convex then a necessary and sucient condition is that log xx is not integrable at Mathematics Sub ject Classication A C G Overview The pap er is divided into two parts The rst part do es not mention quasiinvariance at all It treats only onedimensional functions and implicitly onedimensional measures The reason is as follows A measure on R has a logarithmic derivative if and only if has an absolutely continuous Leb esgue density f and is given by 0 f x ae Then the integrability of jj is equivalent to the Leb esgue x f 0 f jf The quasiinvariance of is equivalent to the statement integrability of j f that f x Leb esgueae Therefore in the case of onedimensional measures a function allows a quasiinvariance criterion as indicated in the abstract
    [Show full text]
  • A Logarithmic Derivative Lemma in Several Complex Variables and Its Applications
    TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 363, Number 12, December 2011, Pages 6257–6267 S 0002-9947(2011)05226-8 Article electronically published on June 27, 2011 A LOGARITHMIC DERIVATIVE LEMMA IN SEVERAL COMPLEX VARIABLES AND ITS APPLICATIONS BAO QIN LI Abstract. We give a logarithmic derivative lemma in several complex vari- ables and its applications to meromorphic solutions of partial differential equa- tions. 1. Introduction The logarithmic derivative lemma of Nevanlinna is an important tool in the value distribution theory of meromorphic functions and its applications. It has two main forms (see [13, 1.3.3 and 4.2.1], [9, p. 115], [4, p. 36], etc.): Estimate (1) and its consequence, Estimate (2) below. Theorem A. Let f be a non-zero meromorphic function in |z| <R≤ +∞ in the complex plane with f(0) =0 , ∞. Then for 0 <r<ρ<R, 1 2π f (k)(reiθ) log+ | |dθ 2π f(reiθ) (1) 0 1 1 1 ≤ c{log+ T (ρ, f) + log+ log+ +log+ ρ +log+ +log+ +1}, |f(0)| ρ − r r where k is a positive integer and c is a positive constant depending only on k. Estimate (1) with k = 1 was originally due to Nevanlinna, which easily implies the following version of the lemma with exceptional intervals of r for meromorphic functions in the plane: 1 2π f (reiθ) (2) + | | { } log iθ dθ = O log(rT(r, f )) , 2π 0 f(re ) for all r outside a countable union of intervals of finite Lebesgue measure, by using the Borel lemma in a standard way (see e.g.
    [Show full text]
  • Understanding Diagnostic Plots for Well-Test Interpretation
    Published in Hydrogeology Journal 17, issue 3, 589-600, 2009 1 which should be used for any reference to this work Understanding diagnostic plots for well-test interpretation Philippe Renard & Damian Glenz & Miguel Mejias Keywords Hydraulic testing . Conceptual models . Hydraulic properties . Analytical solutions Abstract In well-test analysis, a diagnostic plot is a models in order to infer the hydraulic properties of the aquifer. scatter plot of both drawdown and its logarithmic In that framework, a diagnostic plot (Bourdet et al. derivative versus time. It is usually plotted in log–log 1983) is a simultaneous plot of the drawdown and the scale. The main advantages and limitations of the method logarithmic derivative ðÞ@s=@ ln t ¼ t@s=@t of the draw- are reviewed with the help of three hydrogeological field down as a function of time in log–log scale. This plot is examples. Guidelines are provided for the selection of an used to facilitate the identification of an appropriate appropriate conceptual model from a qualitative analysis conceptual model best suited to interpret the data. of the log-derivative. It is shown how the noise on the The idea of using the logarithmic derivative in well-test drawdown measurements is amplified by the calculation interpretation is attributed to Chow (1952). He demon- of the derivative and it is proposed to sample the signal in strated that the transmissivity of an ideal confined aquifer order to minimize this effect. When the discharge rates are is proportional to the ratio of the pumping rate by the varying, or when recovery data have to be interpreted, the logarithmic derivative of the drawdown at late time.
    [Show full text]
  • Symmetric Logarithmic Derivative of Fermionic Gaussian States
    entropy Article Symmetric Logarithmic Derivative of Fermionic Gaussian States Angelo Carollo 1,2,* ID , Bernardo Spagnolo 1,2,3 ID and Davide Valenti 1,4 ID 1 Department of Physics and Chemistry, Group of Interdisciplinary Theoretical Physics, Palermo University and CNISM, Viale delle Scienze, Ed. 18, I-90128 Palermo, Italy; [email protected] (B.S.); [email protected] (D.V.) 2 Department of Radiophysics, Lobachevsky State University of Nizhni Novgorod, 23 Gagarin Avenue, Nizhni Novgorod 603950, Russia 3 Istituto Nazionale di Fisica Nucleare, Sezione di Catania, Via S. Sofia 64, I-90123 Catania, Italy 4 Istituto di Biomedicina ed Immunologia Molecolare (IBIM) “Alberto Monroy”, CNR, Via Ugo La Malfa 153, I-90146 Palermo, Italy * Correspondence: [email protected] Received: 21 May 2018; Accepted: 16 June 2018; Published: 22 June 2018 Abstract: In this article, we derive a closed form expression for the symmetric logarithmic derivative of Fermionic Gaussian states. This provides a direct way of computing the quantum Fisher Information for Fermionic Gaussian states. Applications range from quantum Metrology with thermal states to non-equilibrium steady states with Fermionic many-body systems. Keywords: quantum metrology; Fermionic Gaussian state; quantum geometric information 1. Introduction Quantum metrology or quantum parameter estimation is the theory that studies the accuracy by which a physical parameter of a quantum system can be estimated through measurements and statistical inference. In many physical scenarios, quantities which are to be estimated may not be directly observable, either due to experimental limitations or on account of fundamental principles. When this is the case, one needs to infer the value of the variable after measurements on a given probe.
    [Show full text]
  • Differential Algebraic Equations from Definability
    Differential algebraic equations from definability Thomas Scanlon 24 October 2014 Thomas Scanlon ADEs from definability Is the logarithm a function? × The exponential function exp : C ! C has a many-valued analytic × inverse log : C ! C where log is well-defined only up to the adding an element of 2πiZ. Thomas Scanlon ADEs from definability The logarithmic derivative Treating exp and log as functions on functions does not help: If U × is some connected Riemann surface and f : U ! C is analytic, then we deduce a “function” log(f ): U ! C. However, because log(f ) is well-defined up to an additive constant, d @ log(f ) := dz (log(f )) is a well defined function. That is, for M = M (U) the differential field of meromorphic functions on U we have a well-defined differential-analytic function @ log : M× ! M. f 0 Of course, one computes that @ log(f ) = f is, in fact, differential algebraic. Thomas Scanlon ADEs from definability Explanation? Why is the logarithmic differential algebraic? What a silly question! The logarithm is the very first transcendental function whose derivative is computed in a standard calculus course. The differential algebraicity of d dz (log(f )) is merely a consequence of an elementary calculation. The usual logarithmic derivative is an instance of Kolchin’s general theory of algebraic logarithmic derivatives on algebraic groups in which the differential algebraicity is explained by the triviality of the tangent bundle of an algebraic group. It can also be seen as an instance of the main theorem to be discussed today: certain kinds of differential analytic functions constructed from covering maps are automatically differential algebraic due to two key ideas from logic: elimination of imaginaries and the Peterzil-Starchenko theory of o-minimal complex analysis.
    [Show full text]
  • Dictionary of Mathematical Terms
    DICTIONARY OF MATHEMATICAL TERMS DR. ASHOT DJRBASHIAN in cooperation with PROF. PETER STATHIS 2 i INTRODUCTION changes in how students work with the books and treat them. More and more students opt for electronic books and "carry" them in their laptops, tablets, and even cellphones. This is This dictionary is specifically designed for a trend that seemingly cannot be reversed. two-year college students. It contains all the This is why we have decided to make this an important mathematical terms the students electronic and not a print book and post it would encounter in any mathematics classes on Mathematics Division site for anybody to they take. From the most basic mathemat- download. ical terms of Arithmetic to Algebra, Calcu- lus, Linear Algebra and Differential Equa- Here is how we envision the use of this dictio- tions. In addition we also included most of nary. As a student studies at home or in the the terms from Statistics, Business Calculus, class he or she may encounter a term which Finite Mathematics and some other less com- exact meaning is forgotten. Then instead of monly taught classes. In a few occasions we trying to find explanation in another book went beyond the standard material to satisfy (which may or may not be saved) or going curiosity of some students. Examples are the to internet sources they just open this dictio- article "Cantor set" and articles on solutions nary for necessary clarification and explana- of cubic and quartic equations. tion. The organization of the material is strictly Why is this a better option in most of the alphabetical, not by the topic.
    [Show full text]
  • Reminder. Vector and Matrix Differentiation, Integral Formulas
    Euler equations for multiple integrals January 22, 2013 Contents 1 Reminder of multivariable calculus 2 1.1 Vector differentiation . 2 1.2 Matrix differentiation . 3 1.3 Multidimensional integration . 7 1 This part deals with multivariable variational problems that describe equi- libria and dynamics of continua, optimization of shapes, etc. We consideration of a multivariable domain x 2 Ω ⊂ Rd and coordinates x = (x1; : : : ; xd). The variational problem requires minimization of an integral over Ω of a Lagrangian L(x; u; Du) where u = u(x) is a multivariable vector function and ru of mini- mizers and matrix Du = ru of gradients of these minimizers. The optimality conditions for these problems include differentiation with respect to vectors and matrices. First, we recall several formulas of vector (multivariable) calculus which will be commonly used in the following chapters. 1 Reminder of multivariable calculus 1.1 Vector differentiation We remind the definition of vector derivative or derivative of a scalar function with respect to a vector argument a 2 Rn. Definition 1.1 If φ(a) is a scalar function of a column vector argument a = T dφ (a1; : : : ; an) , then the derivative da is a row vector 0 a 1 dφ dφ dφ 1 = ;:::; if a = @ ::: A (1) da da1 dan an assuming that all partial derivatives exist. This definition comes from consideration of the differential dφ of φ(a): dφ(a) dφ(a) = φ(a + da) − φ(a) = · da + o(kak) da Indeed, the left-hand side is a scalar and the second multiplier in the right-hand side is a column vector, therefore the first multiplier is a row vector defined in (1) Examples of vector differentiation The next examples show the calcula- tion of derivative for several often used functions.
    [Show full text]
  • Official Worksheet 5: the Logarithmic Derivative and the Argument Principle
    Official Worksheet 5: The Logarithmic derivative and the argument principle. April 8, 2020 1 Definitions and the argument principle Today's worksheet is a short one: we cover the logarithmic derivative and the argument principle Suppose that f is a meromorphic function on a domain Ω (recall: this is a function which is either holomorphic on Ω or is singular with only isolated singularities, all of which are poles.) Define the logarithmic derivative d log f 0 f := : dz f Note that for any nonzero function f; this definition makes sense everywhere except zeroes or poles of f (where it has at worst poles), since f 0 is defined everywhere that f is. The notation d log is indicative of the fact that, where d d log defined, dx log(f(x)) = dz f: The logarithmic derivative d log has a number of nice properties. They key property is sometimes known as the argument principle, and is as follows. f 0 Theorem 1. 1. If f is nonzero and nonsingular at z0; then f is nonsingular at z0: f 0 2. If f has a pole of order n at z0 then f has a simple pole with residue equal to −n at z0: f 0 3. If f has a zero of degree n at z0 then f has a simple pole with residue equal to n at z0: Corollary 1. If f is a meromorphic function on Ω and γ is a simple closed H f 0 curve inside Ω such that f is nonsingular and nowhere zero on γ; then γ f (z)dz is equal to 2πi(Z − P ); where Z is the number of zeroes of f inside γ and P is the number of poles inside of γ, both counted with multiplicity (i.e.
    [Show full text]
  • A Note on the Logarithmic Derivative of the Gamma Function
    THE EDINBURGH MATHEMATICAL NOTES PUBLISHED BY THE EDINBURGH MATHEMATICAL SOCIETY EDITED BY D. MARTIN, M.A., B.Sc, Ph.D. No. 38 1952 A note on the logarithmic derivative of the gamma function By A. P. GUINAND. Introduction. The object of this note is to give simpler proof* of two formulae involving the function <p (z) which I have proved elsewhere by more complicated methods.1 The formulae are 2 ^. (x + 1) - log x = 2J" U (t + 1) - log t) cos 2nxt dt (1> for all real positive x, and for | arg z | < TT, where y is Euler's constant. Proof of (I). Now3 1 Journal London Math. Soc., 22 (1947), 14-18. f{z) denotes lv (.-;) / Y (z). 'J The first formula shows that ^{x + 1) - log x is self-reciprocal with respect to the Fourier cosine kernel 2 cos 2TTX. It is strange that this result should have been overlooked, but I can find no trace of it. Cf. B. M. Mehrotra, Journal Indian Math. Soc. (New Series), 1 (1934), 209-27 for a list of self-reciprocal functions and references. 8 C. A. Stewart, Advanced Calculus, (London, 1940), 495 and 497. Downloaded from https://www.cambridge.org/core. IP address: 170.106.40.139, on 26 Sep 2021 at 06:18:02, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0950184300002949 A. P. GUINAND __ _. d^ Also dt Jo by Frullani's integral,1 and o t2 + x* 2x Combining these results with (3) and (4) we have JO tdt (5) \2T7< etirt — 1 Hence 2 f'C|i/;(<+ 1)—logiUos Jol J u e — f»/l 1 \ fM = 2 - — u , Idtt c~ "'cos 2nxtdt )0\u e ~ll Jo J 0 \u e« - _ 2 -1 * J o \ 2irt • eZnt — ' = ip (x + 1) — log £ by (5).
    [Show full text]
  • Timath.Com Calculus
    TImath.com Calculus The Logarithmic Derivative Time required ID: 9092 45 minutes Activity Overview Students will determine the derivative of the function y = ln(x) and work with the derivative of both y = ln(u) and y = loga(u). In the process, the students will show that ln(a+− h) ln(a) 1 lim = . h0→ ha Topic: Formal Differentiation • Derive the Logarithmic Rule and the Generalized Logarithmic Rule for differentiating logarithmic functions. • Prove that ln( x )= ln(a) ⋅ loga ( x ) by graphing f(x) = loga(x) and g(x) = ln(x) for some a and deduce the Generalized Rule for Logarithmic differentiation. • Apply the rules for differentiating exponential and logarithmic functions. Teacher Preparation and Notes • This investigation derives the definition of the logarithmic derivative. The students should be familiar with keystrokes for the limit command, the derivative command, entering the both the natural logarithmic and the general logarithmic functions, drawing a graph, and setting up and displaying a table. • Before starting this activity, students should go to the home screen and select F6:Clean Up > 2:NewProb, and then press . This will clear any stored variables, turn off any functions and plots, and clear the drawing and home screens. • This activity is designed to be student-centered with the teacher acting as a facilitator while students work cooperatively. • To download the student worksheet, go to education.ti.com/exchange and enter “9092” in the keyword search box. Associated Materials • LogarithmicDerivative_Student.doc Suggested Related Activities To download any activity listed, go to education.ti.com/exchange and enter the number in the keyword search box.
    [Show full text]
  • 3 Additional Derivative Topics and Graphs
    3 Additional Derivative Topics and Graphs 3.1 The Constant e and Continuous Compound Interest The Constant e The number e is defined as: 1 n lim 1 + = lim(1 + s)1=s = 2:718281828459 ::: x!1 n s!0 Continuous Compound Interest If a principal P is invested at an annual rate r (expressed as a decimal) compounded continuously, then the amount A in the account at the end of t years is given by the compound interest formula: A = P ert 3.2 Derivatives of Exponential and Logarithmic Functions Derivatives of Exponential Functions For b > 0, b 6= 1: d • ex = ex dx d • bx = bx ln b dx Derivatives of Logarithmic Functions For b > 0, b 6= 1, and x > 0: d 1 • ln x = dx x d 1 1 • log x = dx b ln b x 1 Change-of-Base Formulas The change-of-base formulas allow conversion from base e to any base b, b > 0, b 6= 1: • bx = ex ln b ln x • log x = b ln b 3.3 Derivatives of Products and Quotients Product Rule If y = f(x) = F (x)S(x), then f 0(x) = F (x)S0(x) + S(x)F 0(x) provided that both F 0(x) and S0(x) exist. Quotient Rule T (x) If y = f(x) = , then B(x) B(x)T 0(x) − T (x)B0(x) f 0(x) = [B(x)]2 provided that both T 0(x) and B0(x) exist. 3.4 The Chain Rule Composite Functions A function m is a composite of functions f and g if m = f[g(x)].
    [Show full text]
  • Introduction to Differential Equations
    Derivatives – An Introduction Concepts of primary interest: Definition: first derivative Differential of a function Left-side and right-side limits Higher derivatives Mean value and Rolle’s theorem L’Hospital Rule for indeterminate forms Implicit differentiation Inverse functions Logarithmic Derivative Method for Products Extrema and the Determinant Test for functions of two variables Lagrange Undetermined Multipliers (*** needs serious edit ****) Sample calculations: 2 Derivative of x Chain Rule Product Rule Saddle-points and local extrema Derivative of the inverse function for Squared d(sinθ) /dθ = 1 for θ = 0 Applications Closest point of approach or CPA (nautical term) Tools of the Trade Derivatives of inverse functions Contact: [email protected] 11/1/2012 Plotting inverse functions ***ADD a table of the derivatives of common functions See Tipler; Lagrange Approximating Functions Many functions are complicated, and their evaluations require detailed, tortuous calculations. To avoid the stress, approximate representations are sometimes substituted for the actual functions of interest. For a continuous function f(x), it might be adequate to replace the function in a small interval around x0 by its value at that point f(x0). A better approximation for a function f(x) with a continuous derivative follows from the definition of that derivative. df fx()− fx ( ) = Limit 0 [DI.1] x0 xx→ dx 0 x− x0 df df Clearly, fx()≅+ fx ( ) ( x − x) where is the slope of the function at x0.. 00dx dx x0 x0 11/1/2012 Physics Handout Series.Tank: Derivatives D/DX- 2 Figure DI-1 This handout formalizes the definition of a derivative and illustrates a few basic properties and applications of the derivative.
    [Show full text]