Rational approximations of values of the Gamma function at rational points

Size: px
Start display at page:

Download "Rational approximations of values of the Gamma function at rational points"

Transcription

1 Rational approximations of values of the Gamma function at rational points Tanguy Rivoal Institut Fourier, CNRS and Université Grenoble 1 Conference Approximation et extrapolation des suites et des séries convergentes et divergentes, CIRM, 28/09 02/10/2009 1

2 Computation of a given a real number α. 1) Numerical point of view: find a sequence of rational numbers ( u n v n ) n 0 such that lim n + u n v n = α with fast convergence and u n /v n reasonably easy to compute. 2) Diophantine point of view: find two sequences of integers (u n ) n 0 and (v n ) n 0 such that lim (v nα u n ) = 0. n + If furthermore n v n α u n 0, then α Q. 2

3 Aim of this talk: to present rational approximations of the numbers Γ(a/b), where a/b Q and Γ denotes the usual Gamma function. A similar method enables us to get rational approximations of the numbers γ + log(x), where γ is Euler s constant and x > 0, x Q. None of these approximations are good enough to satisfy 2). From the point of view of 1), they are new. The rational approximations are solutions of a linear recurrence of finite order with polynomial coefficients. 3

4 x > 0 and α C, consider the linear recurrence of order 3: C 3 (n, α, x)u n+3 +C 2 (n, α, x)u n+2 +C 1 (n, α, x)u n+1 +C 0 (n, α, x)u n = 0 (1) where the coefficients C j (n, α, x), j = 0, 1, 2, 3, are polynomials in n, α, x, of degree 16 in n, whose expressions are 4

5 C 3 (n, α, x) = (n+3) 5 (n+4) 2 (8n 2 +4αn 3xn+38n 6x αx+10α+44) (n + 2)(8n n + 4αn 3xn + 6α 3x αx + 14) 2 (8n n + 4αn 3xn + 10α 6x αx + 44) C 2 (n, α, x) = (24n 5 +7xn 4 +28αn n 4 6x 2 n 3 +91xn n αn 3 +7αxn 3 +70xαn 2 +13xα 2 n 2 5x 2 αn 2 4α 3 n n 2 6α 2 n 2 45x 2 n xn αn x 25x 2 αn+218αxn+79xα 2 n 26α 3 n+5α 3 xn 4x 2 α 2 n +816xn+2296αn+6420n 111x 2 n 30α 2 n α+576x+216αx α 3 x α 3 x 10x 2 α 2 31x 2 α + 116xα 2 40α 3 90x 2 36α 2 ) (n + 3) 4 (n + 2)( 8n 2 αx 4αn 38n + 3xn6x 44 10α) ( 8n 2 22n 4αn + 3xn 14 6α + 3x + αx) 2 5

6 C 1 (n, α, x) = (24n 4 57xn 3 +20αn n 3 38xαn n 2 +4α 2 n 2 +26x 2 n 2 315xn αn 2 +13x 2 αn 148αxn 5xα 2 n 543xn+232αn+610n+85x 2 n+14α 2 n 3x 3 n α 285x 138αx x 3 α+x 2 α 2 +24x 2 α 9xα 2 +59x 2 +10α 2 3x 3 )(n + 3) 2 (8n n + 4αn 3xn α 3x αx) (8n 2 + 4αn + 54n 3xn αx + 14α 9x + 90)(n α + 2)(n α) 2 (8n 2 3xn + 38αxn + 4αn + 10α 6x + 44)(n + 2) C 0 (n, α, x) = (n α+1)(n+1+α) 2 (8n 2 3xn+4αn+38nαx+10α 6x+44) 2 (n+3) 2 (8n 2 +22n+4nα 3xn+14+6α 3x αx)(n α+2)(n+2+α) 2 (8n 2 3xn + 54n + 4αn + 14α αx x). 6

7 (P n (x, α)) n 0 and (Q n (x, α)) n 0 solutions of (1), with initial values: P 0 (α, x) = x α 2, P 1 (α, x) = 1 ) ((1 α)x 2 +(6α+2α 2 4)x α 3 4 9α 6α 2 4 P 2 (α, x) = 1 36 ( ( 3α + α 2 + 2)x 3 + ( 3α α 2 )x 2 +( α 2 +24α 3 +3α 4 60α)x 12α 4 α α 2 49α 3 76α ) Q 0 (α, x) = x 2, Q 1 (α, x) = 1 4 ((1+α 2 +2α)x 2 +( 10α 6α 2 4)x 4+4α 2 ) Q 2 (α, x) = 1 ( (α 4 +12α+13α α 3 )x 3 +( 60α 3 12α 4 96α 2 48α)x ( 336α α α 4 66α 2 )x + 60α 2 12α 4 48 ) 7

8 Theorem 1 (R, 2009). (i) P n (α, x), Q n (α, x) Q[α, x]. (ii) α = u/v Q and x = a/b Q, n! 2 (n+1)! 2 v 2n+1 b 4n 1 P n (α, x) Z, n! 2 (n+1)! 2 v 3n+2 b 4n 1 Q n (α, x) Z. (iii) x > 0 and α C\{0}, Re(α) > 1, s(α, x) 0 and q(α, x) 0 such that Q n (α, x)γ(α+1) P n (α, x)x α s(α, x) n 2 2Re(α)/3 exp ( 3 2 x1/3 n 2/ x2/3 n 1/3 and Q n (α, x) q(α, x) n 2 2α/3 exp ( 3x 1/3 n 2/3 x 2/3 n 1/3 ). ) 8

9 Example. Define (p n ) n 0 and (q n ) n 0 to be the solutions of 64(8n + 17)(n + 4) 2 (8n + 9)(n + 3) 3 (n + 2)U n+3 16(8n + 9)(n + 2)(24n n + 155)(2n + 7) 2 (n + 3) 2 U n+2 +4(2n+7)(n+2)(8n+25)(48n n n+32)(2n+5) 2 U n+1 (8n + 25)(8n + 17)(2n + 1)(2n + 7)(2n + 5) 2 (2n + 3) 2 U n = 0 with p 0 = 3 2, p 1 = 81 32, p 2 = , q 0 = 1, q 1 = 45 16, q 2 = 825 lim n + p n q n = Γ ( ) 3 2 = π Then 9

10 Idea of the proof. Euler s functions: For z [0, + ) and Re(β) > 1, set F β (z) := 0 t β e t z t dt k=1 Γ(β + k) z k. Laguerre type polynomials of degree 2n in x: A n,α (x) := 1 ( n! 2 ex x n α (e x x n+α ) (n)) (n) Q[α, x]. They are orthogonal on (0, + ) for the two weights e x and x α e x. (α 0) 10

11 Simultaneous type II Padé approximants at z = to F 0 (z) and F α (z). Lemma 1. For β {0, α}, α C\{0}, Re(α) > 1 and z C\[0, + ), R n,α,β (z) := 0 A n,α (t) z t t β e t dt = A n,α (z)f β (z) B n,α,β (z) k=1 (k β n) n (k α + β n) n n! 2 Γ(β + k) z k ( ) 1 = O z n+1. Here, 0 A n,α (z) A n,α (t) B n,α,β (z) := z t is of degree at most 2n 1 in z. t β e t dt Γ(1 + β)q[α, z] 11

12 Crucial fact: B n,α,0 (z) Q[α, z] and B n,α,α (z) = Γ(1 + α)c n,α (z) for some C n,α (z) Q[α, z]. For β C \ {0}, take z β to be given by its principal value whenever π < arg(z) < π. Set F (z) := z α F 0 (z) F α (z) = 0 z α t α z t e t dt, R n,α (z) := z α R n,α,0 (z) R n,α,α (z) = 0 z α t α z t A n,α (t)e t dt, which are both analytic on C \ (, 0]. 12

13 Obviously, R n,α (z) = A n,α (z)f (z) + Γ(1 + α)c n,α (z) z α B n,α,0 (z). To remove the term A n,α (z)f (z), set P n (α, z) = A n,α (z) A n+1,α (z) B n,α,0 (z) B n+1,α,0 (z) Q[α, z] Q n (α, z) = A n,α (z) A n+1,α (z) C n,α (z) C n+1,α (z) Q[α, z], S n (α, z) = A n,α (z) A n+1,α (z) R n,α (z) R n+1,α (z). 13

14 Lemma 2. (i) For any z C \ (, 0], we have S n (α, z) = Q n (α, z)γ(1 + α) z α P n (α, z) where n! 2 (n + 1)! 2 P n (α, z) Z[α, z], n! 2 (n + 1)! 2 Q n (α, z) Z[α, z]. (ii) P n (α, z), Q n (α, z) and S n (α, z) are solutions of the linear recurrence (1). (iii) The degrees of Q n and P n in z are at most 4n 1, those in α at most 3n + 2 and 2n + 1 respectively. 14

15 (i) and (iii) are easy. (ii) is consequence of the facts that the sequences A n,α, B n,α,0, B n,α,α, R n,α,0, R n,α,α (hence R n,α ) are all solutions of the same linear recurrence of order 3, say R, obtained explicitly using Zeilberger s algorithm EKHAD. that if a n and b n are solutions of a recurrence of order 3: U n+3 = p n U n+2 + q n U n+1 + r n U n, then the sequence of determinants a n b n+1 a n+1 b n is solution of the linear recurrence also of order 3: U n+3 = q n+1 U n+2 p n r n+1 U n+1 + r n r n+1 U n. 15

16 Final steps. Lemma 3. (i) x > 0, the modulus of A n,α, B n,α,0, B n,α,α are bounded by u(x, α) n 1 Re(α)/3 exp(3/2 x1/3 n 2/3 1/2 x 2/3 n 1/3 ), where u(x, α) depends on the sequence. (ii) x > 0, r(x, α) 0 s.t. R n,α (x) r(x, α) n 1 α/3 exp( 3x1/3 n 2/3 + x 2/3 n 1/3 ). 16

17 (i) follows from Birkhoff-Trjitzinsky theory applied to the recurrence R. (ii) is a consequence of the identity R n,α (x) = αx α (1 α) n(1 + α) n n! u n t n+α e t (1 + u) n+1 α (x + ut) n+1+α dtdu which implies that R n,α (x) 0 when n 0, and then we apply Birkhoff-Trjitzinsky theory again to R. 17

18 Lemma 3 (both (i) and (ii)) implies that S n (α, x) 0 when n +. Apply again Birkhoff-Trjitzinsky theory to recurrence (1) to get the bounds in Theorem 1, ie., x > 0, Q n (α, x)γ(α+1) P n (α, x)x α s(α, x) n 2 2Re(α)/3 exp ( 3 2 x1/3 n 2/ x2/3 n 1/3 ), Q n (α, x) q(α, x) n 2 2α/3 exp ( 3x 1/3 n 2/3 x 2/3 n 1/3 ). 18

19 Results related to Euler s constant γ. Theorem 2 (R, 2008, Transactions AMS). There exists two polynomial solutions P n (z) and Q n (z) of a linear recurrence of order 3, of degree at most n + 1 such that (i) n! 2 P n (z) and n! 2 Q n (z) belong to Z[z]. (ii) x > 0, s(x) 0 and q(x) 0 s.t. Q n (x) ( ln(x) + γ ) P n (x) s(x) n 2 exp( 3 2 x1/3 n 2/ x2/3 n 1/3 ), Q n (x) q(x) n 2 exp(3x1/3 n 2/3 x 2/3 n 1/3 ). 19

20 Examples The recurrence (n + 3) 2 (8n + 11)(8n + 19)U n+3 = (24n n + 215)(8n + 11)U n+2 (24n n n + 25)(8n + 27)U n+1 + (n + 2) 2 (8n + 19)(8n + 27)U n provides two sequences of rational numbers (p n ) n 0 and (q n ) n 0 with p 0 = 1, p 1 = 4, p 2 = 77/4 and q 0 = 1, q 1 = 7, q 2 = 65/2 such that p n q n γ. The first such recurrence for γ was obtained by Aptekarev in

21 The recurrence (n + 1)(n + 2)(n + 3)U n+3 = (3n n + 29)(n + 1)U n+2 (3n 3 + 6n 2 7n 13)U n+1 + (n + 2) 3 U n provides two sequences of rational numbers (p n ) n 0 and (q n ) n 0 with p 0 = 1, p 1 = 11, p 2 = 71 and q 0 = 0, q 1 = 8, q 2 = 56 such that p n q n ln(2) + γ. 21

22 The construction is based on Euler type functions 0 log(t) s e t z t dt k=1 Γ (s) (k) z k. Laguerre type polynomials with α = 0: A n,0 (x) = 1 ( x n (e x x n ) (n)) (n) Q[x], n! 2 ex orthogonal on (0, + ) for the weigths e x and log(x)e x. (Remember that the case α = 0 was excluded.) This construction can be viewed as a limiting case of our results for Γ(1 + α) because lim α 0 Γ(1 + α) 1 α = Γ (1) = γ. 22

RATIONAL APPROXIMATIONS FOR VALUES OF DERIVATIVES OF THE GAMMA FUNCTION

RATIONAL APPROXIMATIONS FOR VALUES OF DERIVATIVES OF THE GAMMA FUNCTION RATIONAL APPROXIMATIONS FOR VALUES OF DERIVATIVES OF THE GAMMA FUNCTION TANGUY RIVOAL Abstract. The arithmetical nature of Euler s constant γ is still unknown and even getting good rational approximations

More information

Mathematics 22: Lecture 19

Mathematics 22: Lecture 19 Mathematics 22: Lecture 19 Legendre s Equation Dan Sloughter Furman University February 5, 2008 Dan Sloughter (Furman University) Mathematics 22: Lecture 19 February 5, 2008 1 / 11 Example: Legendre s

More information

ODE Homework Series Solutions Near an Ordinary Point, Part I 1. Seek power series solution of the equation. n(n 1)a n x n 2 = n=0

ODE Homework Series Solutions Near an Ordinary Point, Part I 1. Seek power series solution of the equation. n(n 1)a n x n 2 = n=0 ODE Homework 6 5.2. Series Solutions Near an Ordinary Point, Part I 1. Seek power series solution of the equation y + k 2 x 2 y = 0, k a constant about the the point x 0 = 0. Find the recurrence relation;

More information

Equations with regular-singular points (Sect. 5.5).

Equations with regular-singular points (Sect. 5.5). Equations with regular-singular points (Sect. 5.5). Equations with regular-singular points. s: Equations with regular-singular points. Method to find solutions. : Method to find solutions. Recall: The

More information

Power Series Solutions to the Legendre Equation

Power Series Solutions to the Legendre Equation Department of Mathematics IIT Guwahati The Legendre equation The equation (1 x 2 )y 2xy + α(α + 1)y = 0, (1) where α is any real constant, is called Legendre s equation. When α Z +, the equation has polynomial

More information

Nonconstant Coefficients

Nonconstant Coefficients Chapter 7 Nonconstant Coefficients We return to second-order linear ODEs, but with nonconstant coefficients. That is, we consider (7.1) y + p(t)y + q(t)y = 0, with not both p(t) and q(t) constant. The

More information

' Liberty and Umou Ono and Inseparablo "

' Liberty and Umou Ono and Inseparablo 3 5? #< q 8 2 / / ) 9 ) 2 ) > < _ / ] > ) 2 ) ) 5 > x > [ < > < ) > _ ] ]? <

More information

Horizontal and Vertical Asymptotes from section 2.6

Horizontal and Vertical Asymptotes from section 2.6 Horizontal and Vertical Asymptotes from section 2.6 Definition: In either of the cases f(x) = L or f(x) = L we say that the x x horizontal line y = L is a horizontal asymptote of the function f. Note:

More information

1 + lim. n n+1. f(x) = x + 1, x 1. and we check that f is increasing, instead. Using the quotient rule, we easily find that. 1 (x + 1) 1 x (x + 1) 2 =

1 + lim. n n+1. f(x) = x + 1, x 1. and we check that f is increasing, instead. Using the quotient rule, we easily find that. 1 (x + 1) 1 x (x + 1) 2 = Chapter 5 Sequences and series 5. Sequences Definition 5. (Sequence). A sequence is a function which is defined on the set N of natural numbers. Since such a function is uniquely determined by its values

More information

Power Series Solutions to the Legendre Equation

Power Series Solutions to the Legendre Equation Power Series Solutions to the Legendre Equation Department of Mathematics IIT Guwahati The Legendre equation The equation (1 x 2 )y 2xy + α(α + 1)y = 0, (1) where α is any real constant, is called Legendre

More information

MEMORIAL UNIVERSITY OF NEWFOUNDLAND

MEMORIAL UNIVERSITY OF NEWFOUNDLAND MEMORIAL UNIVERSITY OF NEWFOUNDLAND DEPARTMENT OF MATHEMATICS AND STATISTICS Section 5. Math 090 Fall 009 SOLUTIONS. a) Using long division of polynomials, we have x + x x x + ) x 4 4x + x + 0x x 4 6x

More information

Power Series Solutions to the Bessel Equation

Power Series Solutions to the Bessel Equation Power Series Solutions to the Bessel Equation Department of Mathematics IIT Guwahati The Bessel equation The equation x 2 y + xy + (x 2 α 2 )y = 0, (1) where α is a non-negative constant, i.e α 0, is called

More information

A FEW REMARKS ON THE SUPREMUM OF STABLE PROCESSES P. PATIE

A FEW REMARKS ON THE SUPREMUM OF STABLE PROCESSES P. PATIE A FEW REMARKS ON THE SUPREMUM OF STABLE PROCESSES P. PATIE Abstract. In [1], Bernyk et al. offer a power series and an integral representation for the density of S 1, the maximum up to time 1, of a regular

More information

Precise error estimate of the Brent-McMillan algorithm for the computation of Euler s constant

Precise error estimate of the Brent-McMillan algorithm for the computation of Euler s constant Precise error estimate of the Brent-McMillan algorithm for the computation of Euler s constant Jean-Pierre Demailly Université de Grenoble Alpes, Institut Fourier Abstract Brent and McMillan introduced

More information

IRREDUCIBILITY OF CLASSICAL POLYNOMIALS AND THEIR GENERALIZATIONS

IRREDUCIBILITY OF CLASSICAL POLYNOMIALS AND THEIR GENERALIZATIONS IRREDUCIBILITY OF CLASSICAL POLYNOMIALS AND THEIR GENERALIZATIONS IRREDUCIBILITY OF CLASSICAL POLYNOMIALS AND THEIR GENERALIZATIONS by Michael Filaseta IRREDUCIBILITY OF CLASSICAL POLYNOMIALS AND THEIR

More information

Aim: How do we prepare for AP Problems on limits, continuity and differentiability? f (x)

Aim: How do we prepare for AP Problems on limits, continuity and differentiability? f (x) Name AP Calculus Date Supplemental Review 1 Aim: How do we prepare for AP Problems on limits, continuity and differentiability? Do Now: Use the graph of f(x) to evaluate each of the following: 1. lim x

More information

Educjatipnal. L a d ie s * COBNWALILI.S H IG H SCHOOL. I F O R G IR L S A n B k i n d e r g a r t e n.

Educjatipnal. L a d ie s * COBNWALILI.S H IG H SCHOOL. I F O R G IR L S A n B k i n d e r g a r t e n. - - - 0 x ] - ) ) -? - Q - - z 0 x 8 - #? ) 80 0 0 Q ) - 8-8 - ) x ) - ) -] ) Q x?- x - - / - - x - - - x / /- Q ] 8 Q x / / - 0-0 0 x 8 ] ) / - - /- - / /? x ) x x Q ) 8 x q q q )- 8-0 0? - Q - - x?-

More information

12d. Regular Singular Points

12d. Regular Singular Points October 22, 2012 12d-1 12d. Regular Singular Points We have studied solutions to the linear second order differential equations of the form P (x)y + Q(x)y + R(x)y = 0 (1) in the cases with P, Q, R real

More information

Calculus I Announcements

Calculus I Announcements Slide 1 Calculus I Announcements Read sections 3.9-3.10 Do all the homework for section 3.9 and problems 1,3,5,7 from section 3.10. The exam is in Thursday, October 22nd. The exam will cover sections 3.2-3.10,

More information

SOLUTIONS, what is the value of f(4)?

SOLUTIONS, what is the value of f(4)? 005 Georgia Tech High School Mathematics Competition Junior-Varsity Multiple-Choice Examination Version A Problem : If f(x) = x4 x +x x SOLUTIONS, what is the value of f(4)? (A) 6 (B) 70 (C) 78 (D) 8 (E)

More information

Lecture 17: The Exponential and Some Related Distributions

Lecture 17: The Exponential and Some Related Distributions Lecture 7: The Exponential and Some Related Distributions. Definition Definition: A continuous random variable X is said to have the exponential distribution with parameter if the density of X is e x if

More information

Lecture 5: Moment generating functions

Lecture 5: Moment generating functions Lecture 5: Moment generating functions Definition 2.3.6. The moment generating function (mgf) of a random variable X is { x e tx f M X (t) = E(e tx X (x) if X has a pmf ) = etx f X (x)dx if X has a pdf

More information

Quantitative Oppenheim theorem. Eigenvalue spacing for rectangular billiards. Pair correlation for higher degree diagonal forms

Quantitative Oppenheim theorem. Eigenvalue spacing for rectangular billiards. Pair correlation for higher degree diagonal forms QUANTITATIVE DISTRIBUTIONAL ASPECTS OF GENERIC DIAGONAL FORMS Quantitative Oppenheim theorem Eigenvalue spacing for rectangular billiards Pair correlation for higher degree diagonal forms EFFECTIVE ESTIMATES

More information

SOME CONGRUENCES ASSOCIATED WITH THE EQUATION X α = X β IN CERTAIN FINITE SEMIGROUPS

SOME CONGRUENCES ASSOCIATED WITH THE EQUATION X α = X β IN CERTAIN FINITE SEMIGROUPS SOME CONGRUENCES ASSOCIATED WITH THE EQUATION X α = X β IN CERTAIN FINITE SEMIGROUPS THOMAS W. MÜLLER Abstract. Let H be a finite group, T n the symmetric semigroup of degree n, and let α, β be integers

More information

Chapter 7: Techniques of Integration

Chapter 7: Techniques of Integration Chapter 7: Techniques of Integration MATH 206-01: Calculus II Department of Mathematics University of Louisville last corrected September 14, 2013 1 / 43 Chapter 7: Techniques of Integration 7.1. Integration

More information

MAT01B1: Integration of Rational Functions by Partial Fractions

MAT01B1: Integration of Rational Functions by Partial Fractions MAT01B1: Integration of Rational Functions by Partial Fractions Dr Craig 1 August 2018 My details: Dr Andrew Craig acraig@uj.ac.za Consulting hours: Monday 14h40 15h25 Thursday 11h20 12h55 Friday 11h20

More information

5.4 Bessel s Equation. Bessel Functions

5.4 Bessel s Equation. Bessel Functions SEC 54 Bessel s Equation Bessel Functions J (x) 87 # with y dy>dt, etc, constant A, B, C, D, K, and t 5 HYPERGEOMETRIC ODE At B (t t )(t t ), t t, can be reduced to the hypergeometric equation with independent

More information

On Some Combinations of Non-Consecutive Terms of a Recurrence Sequence

On Some Combinations of Non-Consecutive Terms of a Recurrence Sequence 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 21 (2018), Article 18.3.5 On Some Combinations of Non-Consecutive Terms of a Recurrence Sequence Eva Trojovská Department of Mathematics Faculty of Science

More information

Section Properties of Rational Expressions

Section Properties of Rational Expressions 88 Section. - Properties of Rational Expressions Recall that a rational number is any number that can be written as the ratio of two integers where the integer in the denominator cannot be. Rational Numbers:

More information

Solutions to Homework 2

Solutions to Homework 2 Solutions to Homewor Due Tuesday, July 6,. Chapter. Problem solution. If the series for ln+z and ln z both converge, +z then we can find the series for ln z by term-by-term subtraction of the two series:

More information

Explicit Methods in Algebraic Number Theory

Explicit Methods in Algebraic Number Theory Explicit Methods in Algebraic Number Theory Amalia Pizarro Madariaga Instituto de Matemáticas Universidad de Valparaíso, Chile amaliapizarro@uvcl 1 Lecture 1 11 Number fields and ring of integers Algebraic

More information

Chapter 2 Vector-matrix Differential Equation and Numerical Inversion of Laplace Transform

Chapter 2 Vector-matrix Differential Equation and Numerical Inversion of Laplace Transform Chapter 2 Vector-matrix Differential Equation and Numerical Inversion of Laplace Transform 2.1 Vector-matrix Differential Equation A differential equation and a set of differential (simultaneous linear

More information

RECENT RESULTS ON LINEAR RECURRENCE SEQUENCES

RECENT RESULTS ON LINEAR RECURRENCE SEQUENCES RECENT RESULTS ON LINEAR RECURRENCE SEQUENCES Jan-Hendrik Evertse (Leiden) General Mathematics Colloquium, Delft May 19, 2005 1 INTRODUCTION A linear recurrence sequence U = {u n } n=0 (in C) is a sequence

More information

An Operator Theoretical Approach to Nonlocal Differential Equations

An Operator Theoretical Approach to Nonlocal Differential Equations An Operator Theoretical Approach to Nonlocal Differential Equations Joshua Lee Padgett Department of Mathematics and Statistics Texas Tech University Analysis Seminar November 27, 2017 Joshua Lee Padgett

More information

Two Posts to Fill On School Board

Two Posts to Fill On School Board Y Y 9 86 4 4 qz 86 x : ( ) z 7 854 Y x 4 z z x x 4 87 88 Y 5 x q x 8 Y 8 x x : 6 ; : 5 x ; 4 ( z ; ( ) ) x ; z 94 ; x 3 3 3 5 94 ; ; ; ; 3 x : 5 89 q ; ; x ; x ; ; x : ; ; ; ; ; ; 87 47% : () : / : 83

More information

7.4: Integration of rational functions

7.4: Integration of rational functions A rational function is a function of the form: f (x) = P(x) Q(x), where P(x) and Q(x) are polynomials in x. P(x) = a n x n + a n 1 x n 1 + + a 0. Q(x) = b m x m + b m 1 x m 1 + + b 0. How to express a

More information

7 Asymptotics for Meromorphic Functions

7 Asymptotics for Meromorphic Functions Lecture G jacques@ucsd.edu 7 Asymptotics for Meromorphic Functions Hadamard s Theorem gives a broad description of the exponential growth of coefficients in power series, but the notion of exponential

More information

P A L A C E P IE R, S T. L E O N A R D S. R a n n o w, q u a r r y. W WALTER CR O TC H, Esq., Local Chairman. E. CO O PER EVANS, Esq.,.

P A L A C E P IE R, S T. L E O N A R D S. R a n n o w, q u a r r y. W WALTER CR O TC H, Esq., Local Chairman. E. CO O PER EVANS, Esq.,. ? ( # [ ( 8? [ > 3 Q [ ««> » 9 Q { «33 Q> 8 \ \ 3 3 3> Q»«9 Q ««« 3 8 3 8 X \ [ 3 ( ( Z ( Z 3( 9 9 > < < > >? 8 98 ««3 ( 98 < # # Q 3 98? 98 > > 3 8 9 9 ««««> 3 «>

More information

Analysis II: Basic knowledge of real analysis: Part V, Power Series, Differentiation, and Taylor Series

Analysis II: Basic knowledge of real analysis: Part V, Power Series, Differentiation, and Taylor Series .... Analysis II: Basic knowledge of real analysis: Part V, Power Series, Differentiation, and Taylor Series Kenichi Maruno Department of Mathematics, The University of Texas - Pan American March 4, 20

More information

MA22S3 Summary Sheet: Ordinary Differential Equations

MA22S3 Summary Sheet: Ordinary Differential Equations MA22S3 Summary Sheet: Ordinary Differential Equations December 14, 2017 Kreyszig s textbook is a suitable guide for this part of the module. Contents 1 Terminology 1 2 First order separable 2 2.1 Separable

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

CALCULUS JIA-MING (FRANK) LIOU

CALCULUS JIA-MING (FRANK) LIOU CALCULUS JIA-MING (FRANK) LIOU Abstract. Contents. Power Series.. Polynomials and Formal Power Series.2. Radius of Convergence 2.3. Derivative and Antiderivative of Power Series 4.4. Power Series Expansion

More information

Separation of Variables in Linear PDE: One-Dimensional Problems

Separation of Variables in Linear PDE: One-Dimensional Problems Separation of Variables in Linear PDE: One-Dimensional Problems Now we apply the theory of Hilbert spaces to linear differential equations with partial derivatives (PDE). We start with a particular example,

More information

13 Endomorphism algebras

13 Endomorphism algebras 18.783 Elliptic Curves Lecture #13 Spring 2017 03/22/2017 13 Endomorphism algebras The key to improving the efficiency of elliptic curve primality proving (and many other algorithms) is the ability to

More information

Analyzing Power Series using Computer Algebra and Precalculus Techniques

Analyzing Power Series using Computer Algebra and Precalculus Techniques Analyzing Power Series using Computer Algebra and Precalculus Techniques Dr. Ken Collins Chair, Mathematics Department Charlotte Latin School Charlotte, North Carolina, USA kcollins@charlottelatin.org

More information

Finite Fields: An introduction through exercises Jonathan Buss Spring 2014

Finite Fields: An introduction through exercises Jonathan Buss Spring 2014 Finite Fields: An introduction through exercises Jonathan Buss Spring 2014 A typical course in abstract algebra starts with groups, and then moves on to rings, vector spaces, fields, etc. This sequence

More information

Zonal Polynomials and Hypergeometric Functions of Matrix Argument. Zonal Polynomials and Hypergeometric Functions of Matrix Argument p.

Zonal Polynomials and Hypergeometric Functions of Matrix Argument. Zonal Polynomials and Hypergeometric Functions of Matrix Argument p. Zonal Polynomials and Hypergeometric Functions of Matrix Argument Zonal Polynomials and Hypergeometric Functions of Matrix Argument p. 1/2 Zonal Polynomials and Hypergeometric Functions of Matrix Argument

More information

Series of Error Terms for Rational Approximations of Irrational Numbers

Series of Error Terms for Rational Approximations of Irrational Numbers 2 3 47 6 23 Journal of Integer Sequences, Vol. 4 20, Article..4 Series of Error Terms for Rational Approximations of Irrational Numbers Carsten Elsner Fachhochschule für die Wirtschaft Hannover Freundallee

More information

EE512: Error Control Coding

EE512: Error Control Coding EE51: Error Control Coding Solution for Assignment on BCH and RS Codes March, 007 1. To determine the dimension and generator polynomial of all narrow sense binary BCH codes of length n = 31, we have to

More information

Convergence of sequences and series

Convergence of sequences and series Convergence of sequences and series A sequence f is a map from N the positive integers to a set. We often write the map outputs as f n rather than f(n). Often we just list the outputs in order and leave

More information

13 Endomorphism algebras

13 Endomorphism algebras 18.783 Elliptic Curves Spring 2015 Lecture #13 03/19/2015 13 Endomorphism algebras The key to improving the efficiency of elliptic curve primality proving (and many other algorithms) is the ability to

More information

Diophantine approximation of beta expansion in parameter space

Diophantine approximation of beta expansion in parameter space Diophantine approximation of beta expansion in parameter space Jun Wu Huazhong University of Science and Technology Advances on Fractals and Related Fields, France 19-25, September 2015 Outline 1 Background

More information

Josh Engwer (TTU) Improper Integrals 10 March / 21

Josh Engwer (TTU) Improper Integrals 10 March / 21 Improper Integrals Calculus II Josh Engwer TTU 10 March 2014 Josh Engwer (TTU) Improper Integrals 10 March 2014 1 / 21 Limits of Functions (Toolkit) TASK: Evaluate limit (if it exists): lim f (x) x x0

More information

In Z: x + 3 = 2 3x = 2 x = 1 No solution In Q: 3x = 2 x 2 = 2. x = 2 No solution. In R: x 2 = 2 x = 0 x = ± 2 No solution Z Q.

In Z: x + 3 = 2 3x = 2 x = 1 No solution In Q: 3x = 2 x 2 = 2. x = 2 No solution. In R: x 2 = 2 x = 0 x = ± 2 No solution Z Q. THE UNIVERSITY OF NEW SOUTH WALES SCHOOL OF MATHEMATICS AND STATISTICS MATH 1141 HIGHER MATHEMATICS 1A ALGEBRA. Section 1: - Complex Numbers. 1. The Number Systems. Let us begin by trying to solve various

More information

INVARIANT MEASURES FOR CERTAIN LINEAR FRACTIONAL TRANSFORMATIONS MOD 1

INVARIANT MEASURES FOR CERTAIN LINEAR FRACTIONAL TRANSFORMATIONS MOD 1 PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 27, Number 2, Pages 3439 3444 S 0002-99399905008-X Article electronically published on July 20, 999 INVARIANT MEASURES FOR CERTAIN LINEAR FRACTIONAL

More information

Infinite Series. 1 Introduction. 2 General discussion on convergence

Infinite Series. 1 Introduction. 2 General discussion on convergence Infinite Series 1 Introduction I will only cover a few topics in this lecture, choosing to discuss those which I have used over the years. The text covers substantially more material and is available for

More information

where c R and the content of f is one. 1

where c R and the content of f is one. 1 9. Gauss Lemma Obviously it would be nice to have some more general methods of proving that a given polynomial is irreducible. The first is rather beautiful and due to Gauss. The basic idea is as follows.

More information

Series Solutions Near a Regular Singular Point

Series Solutions Near a Regular Singular Point Series Solutions Near a Regular Singular Point MATH 365 Ordinary Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Background We will find a power series solution to the equation:

More information

such as the ratio test. However, even without knowing the formula for a n and y 4

such as the ratio test. However, even without knowing the formula for a n and y 4 5.2 Series Solutions near an Ordinary Point, Part I 247 such as the ratio test. However, even without knowing the formula for a n we shall see in Section 5.3 that it is possible to establish that the series

More information

AN EXTREME-VALUE ANALYSIS OF THE LIL FOR BROWNIAN MOTION 1. INTRODUCTION

AN EXTREME-VALUE ANALYSIS OF THE LIL FOR BROWNIAN MOTION 1. INTRODUCTION AN EXTREME-VALUE ANALYSIS OF THE LIL FOR BROWNIAN MOTION DAVAR KHOSHNEVISAN, DAVID A. LEVIN, AND ZHAN SHI ABSTRACT. We present an extreme-value analysis of the classical law of the iterated logarithm LIL

More information

Automatic Proofs of Identities: Beyond A=B

Automatic Proofs of Identities: Beyond A=B Bruno.Salvy@inria.fr FPSAC, Linz, July 20, 2009 Joint work with F. Chyzak and M. Kauers 1 / 28 I Introduction 2 / 28 Examples of Identities: Definite Sums, q-sums, Integrals n k=0 + 0 1 2πi n=0 ( ) H n

More information

Lecture Notes on. Differential Equations. Emre Sermutlu

Lecture Notes on. Differential Equations. Emre Sermutlu Lecture Notes on Differential Equations Emre Sermutlu ISBN: Copyright Notice: To my wife Nurten and my daughters İlayda and Alara Contents Preface ix 1 First Order ODE 1 1.1 Definitions.............................

More information

11.5. The Chain Rule. Introduction. Prerequisites. Learning Outcomes

11.5. The Chain Rule. Introduction. Prerequisites. Learning Outcomes The Chain Rule 11.5 Introduction In this Section we will see how to obtain the derivative of a composite function (often referred to as a function of a function ). To do this we use the chain rule. This

More information

arxiv: v1 [math.na] 15 Nov 2013

arxiv: v1 [math.na] 15 Nov 2013 NUMERICAL APPROXIMATIONS FOR FRACTIONAL DIFFERENTIAL EQUATIONS arxiv:1311.3935v1 [math.na] 15 Nov 013 Yuri Dimitrov Department of Applied Mathematics and Statistics University of Rousse 8 Studentsa str.

More information

Discrete Distributions Chapter 6

Discrete Distributions Chapter 6 Discrete Distributions Chapter 6 Negative Binomial Distribution section 6.3 Consider k r, r +,... independent Bernoulli trials with probability of success in one trial being p. Let the random variable

More information

Genus 2 Curves of p-rank 1 via CM method

Genus 2 Curves of p-rank 1 via CM method School of Mathematical Sciences University College Dublin Ireland and Claude Shannon Institute April 2009, GeoCrypt Joint work with Laura Hitt, Michael Naehrig, Marco Streng Introduction This talk is about

More information

The final is cumulative, but with more emphasis on chapters 3 and 4. There will be two parts.

The final is cumulative, but with more emphasis on chapters 3 and 4. There will be two parts. Math 141 Review for Final The final is cumulative, but with more emphasis on chapters 3 and 4. There will be two parts. Part 1 (no calculator) graphing (polynomial, rational, linear, exponential, and logarithmic

More information

Additional Homework Problems

Additional Homework Problems Additional Homework Problems These problems supplement the ones assigned from the text. Use complete sentences whenever appropriate. Use mathematical terms appropriately. 1. What is the order of a differential

More information

Continuing the pre/review of the simple (!?) case...

Continuing the pre/review of the simple (!?) case... Continuing the pre/review of the simple (!?) case... Garrett 09-16-011 1 So far, we have sketched the connection between prime numbers, and zeros of the zeta function, given by Riemann s formula p m

More information

Introduction In this paper, we are interested in the deformed exponential function x n (0.1) f(x) = n! qn(n 1)/2, 0 < q < 1,

Introduction In this paper, we are interested in the deformed exponential function x n (0.1) f(x) = n! qn(n 1)/2, 0 < q < 1, AN ASYMPTOTIC FORMULA FOR THE ZEROS OF THE DEFORMED EXPONENTIAL FUNCTION CHENG ZHANG Abstract. We study the asymptotic representation for the zeros of the deformed exponential function n=0 1 n! qnn 1)/2

More information

Chapter 4: More Applications of Differentiation

Chapter 4: More Applications of Differentiation Chapter 4: More Applications of Differentiation Winter 2016 Department of Mathematics Hong Kong Baptist University 1 / 61 In the fall of 1972, President Nixon announced that, the rate of increase of inflation

More information

MTH310 EXAM 2 REVIEW

MTH310 EXAM 2 REVIEW MTH310 EXAM 2 REVIEW SA LI 4.1 Polynomial Arithmetic and the Division Algorithm A. Polynomial Arithmetic *Polynomial Rings If R is a ring, then there exists a ring T containing an element x that is not

More information

MULTIPLYING TRINOMIALS

MULTIPLYING TRINOMIALS Name: Date: 1 Math 2 Variable Manipulation Part 4 Polynomials B MULTIPLYING TRINOMIALS Multiplying trinomials is the same process as multiplying binomials except for there are more terms to multiply than

More information

Math 266 Midterm Exam 2

Math 266 Midterm Exam 2 Math 266 Midterm Exam 2 March 2st 26 Name: Ground Rules. Calculator is NOT allowed. 2. Show your work for every problem unless otherwise stated (partial credits are available). 3. You may use one 4-by-6

More information

MAT 210 Test #1 Solutions, Form A

MAT 210 Test #1 Solutions, Form A 1. Where are the following functions continuous? a. ln(x 2 1) MAT 210 Test #1 Solutions, Form A Solution: The ln function is continuous when what you are taking the log of is positive. Hence, we need x

More information

3! + 4! + Binomial series: if α is a nonnegative integer, the series terminates. Otherwise, the series converges if x < 1 but diverges if x > 1.

3! + 4! + Binomial series: if α is a nonnegative integer, the series terminates. Otherwise, the series converges if x < 1 but diverges if x > 1. Page 1 Name: ID: Section: This exam has 16 questions: 14 multiple choice questions worth 5 points each. hand graded questions worth 15 points each. Important: No graphing calculators! Any non-graphing

More information

The number of inversions in permutations: A saddle point approach

The number of inversions in permutations: A saddle point approach The number of inversions in permutations: A saddle point approach Guy Louchard and Helmut Prodinger November 4, 22 Abstract Using the saddle point method, we obtain from the generating function of the

More information

(3) Let Y be a totally bounded subset of a metric space X. Then the closure Y of Y

(3) Let Y be a totally bounded subset of a metric space X. Then the closure Y of Y () Consider A = { q Q : q 2 2} as a subset of the metric space (Q, d), where d(x, y) = x y. Then A is A) closed but not open in Q B) open but not closed in Q C) neither open nor closed in Q D) both open

More information

Partial Fractions. Calculus 2 Lia Vas

Partial Fractions. Calculus 2 Lia Vas Calculus Lia Vas Partial Fractions rational function is a quotient of two polynomial functions The method of partial fractions is a general method for evaluating integrals of rational function The idea

More information

The Method of Frobenius

The Method of Frobenius The Method of Frobenius R. C. Trinity University Partial Differential Equations April 7, 2015 Motivating example Failure of the power series method Consider the ODE 2xy +y +y = 0. In standard form this

More information

Math 334 A1 Homework 3 (Due Nov. 5 5pm)

Math 334 A1 Homework 3 (Due Nov. 5 5pm) Math 334 A1 Homework 3 Due Nov. 5 5pm No Advanced or Challenge problems will appear in homeworks. Basic Problems Problem 1. 4.1 11 Verify that the given functions are solutions of the differential equation,

More information

1 + z 1 x (2x y)e x2 xy. xe x2 xy. x x3 e x, lim x log(x). (3 + i) 2 17i + 1. = 1 2e + e 2 = cosh(1) 1 + i, 2 + 3i, 13 exp i arctan

1 + z 1 x (2x y)e x2 xy. xe x2 xy. x x3 e x, lim x log(x). (3 + i) 2 17i + 1. = 1 2e + e 2 = cosh(1) 1 + i, 2 + 3i, 13 exp i arctan Complex Analysis I MT333P Problems/Homework Recommended Reading: Bak Newman: Complex Analysis Springer Conway: Functions of One Complex Variable Springer Ahlfors: Complex Analysis McGraw-Hill Jaenich:

More information

This ODE arises in many physical systems that we shall investigate. + ( + 1)u = 0. (λ + s)x λ + s + ( + 1) a λ. (s + 1)(s + 2) a 0

This ODE arises in many physical systems that we shall investigate. + ( + 1)u = 0. (λ + s)x λ + s + ( + 1) a λ. (s + 1)(s + 2) a 0 Legendre equation This ODE arises in many physical systems that we shall investigate We choose We then have Substitution gives ( x 2 ) d 2 u du 2x 2 dx dx + ( + )u u x s a λ x λ a du dx λ a λ (λ + s)x

More information

Closed Form Solutions

Closed Form Solutions Closed Form Solutions Mark van Hoeij 1 Florida State University Slides of this talk: www.math.fsu.edu/ hoeij/issac2017.pdf 1 Supported by NSF 1618657 1 / 29 What is a closed form solution? Example: Solve

More information

96 CHAPTER 4. HILBERT SPACES. Spaces of square integrable functions. Take a Cauchy sequence f n in L 2 so that. f n f m 1 (b a) f n f m 2.

96 CHAPTER 4. HILBERT SPACES. Spaces of square integrable functions. Take a Cauchy sequence f n in L 2 so that. f n f m 1 (b a) f n f m 2. 96 CHAPTER 4. HILBERT SPACES 4.2 Hilbert Spaces Hilbert Space. An inner product space is called a Hilbert space if it is complete as a normed space. Examples. Spaces of sequences The space l 2 of square

More information

Two special equations: Bessel s and Legendre s equations. p Fourier-Bessel and Fourier-Legendre series. p

Two special equations: Bessel s and Legendre s equations. p Fourier-Bessel and Fourier-Legendre series. p LECTURE 1 Table of Contents Two special equations: Bessel s and Legendre s equations. p. 259-268. Fourier-Bessel and Fourier-Legendre series. p. 453-460. Boundary value problems in other coordinate system.

More information

A PURELY COMBINATORIAL APPROACH TO SIMULTANEOUS POLYNOMIAL RECURRENCE MODULO Introduction

A PURELY COMBINATORIAL APPROACH TO SIMULTANEOUS POLYNOMIAL RECURRENCE MODULO Introduction A PURELY COMBINATORIAL APPROACH TO SIMULTANEOUS POLYNOMIAL RECURRENCE MODULO 1 ERNIE CROOT NEIL LYALL ALEX RICE Abstract. Using purely combinatorial means we obtain results on simultaneous Diophantine

More information

Math 141: Lecture 11

Math 141: Lecture 11 Math 141: Lecture 11 The Fundamental Theorem of Calculus and integration methods Bob Hough October 12, 2016 Bob Hough Math 141: Lecture 11 October 12, 2016 1 / 36 First Fundamental Theorem of Calculus

More information

7.3 Singular points and the method of Frobenius

7.3 Singular points and the method of Frobenius 284 CHAPTER 7. POWER SERIES METHODS 7.3 Singular points and the method of Frobenius Note: or.5 lectures, 8.4 and 8.5 in [EP], 5.4 5.7 in [BD] While behaviour of ODEs at singular points is more complicated,

More information

Spotlight on the Extended Method of Frobenius

Spotlight on the Extended Method of Frobenius 113 Spotlight on the Extended Method of Frobenius See Sections 11.1 and 11.2 for the model of an aging spring. Reference: Section 11.4 and SPOTLIGHT ON BESSEL FUNCTIONS. Bessel functions of the first kind

More information

March Algebra 2 Question 1. March Algebra 2 Question 1

March Algebra 2 Question 1. March Algebra 2 Question 1 March Algebra 2 Question 1 If the statement is always true for the domain, assign that part a 3. If it is sometimes true, assign it a 2. If it is never true, assign it a 1. Your answer for this question

More information

UNIVERSITY OF BRISTOL. Mock exam paper for examination for the Degrees of B.Sc. and M.Sci. (Level 3)

UNIVERSITY OF BRISTOL. Mock exam paper for examination for the Degrees of B.Sc. and M.Sci. (Level 3) UNIVERSITY OF BRISTOL Mock exam paper for examination for the Degrees of B.Sc. and M.Sci. (Level 3) DYNAMICAL SYSTEMS and ERGODIC THEORY MATH 36206 (Paper Code MATH-36206) 2 hours and 30 minutes This paper

More information

LECTURE NOTES IN CRYPTOGRAPHY

LECTURE NOTES IN CRYPTOGRAPHY 1 LECTURE NOTES IN CRYPTOGRAPHY Thomas Johansson 2005/2006 c Thomas Johansson 2006 2 Chapter 1 Abstract algebra and Number theory Before we start the treatment of cryptography we need to review some basic

More information

Bregman superquantiles. Estimation methods and applications

Bregman superquantiles. Estimation methods and applications Bregman superquantiles. Estimation methods and applications Institut de mathématiques de Toulouse 2 juin 2014 Joint work with F. Gamboa, A. Garivier (IMT) and B. Iooss (EDF R&D). 1 Coherent measure of

More information

The group law on elliptic curves

The group law on elliptic curves Mathematisch Instituut Universiteit Leiden Elliptic curves The theory of elliptic curves is a showpiece of modern mathematics. Elliptic curves play a key role both in the proof of Fermat s Last Theorem

More information

Math 121 Homework 2 Solutions

Math 121 Homework 2 Solutions Math 121 Homework 2 Solutions Problem 13.2 #16. Let K/F be an algebraic extension and let R be a ring contained in K that contains F. Prove that R is a subfield of K containing F. We will give two proofs.

More information

2 Series Solutions near a Regular Singular Point

2 Series Solutions near a Regular Singular Point McGill University Math 325A: Differential Equations LECTURE 17: SERIES SOLUTION OF LINEAR DIFFERENTIAL EQUATIONS II 1 Introduction Text: Chap. 8 In this lecture we investigate series solutions for the

More information

DISCRETE FOURIER TRANSFORM

DISCRETE FOURIER TRANSFORM DISCRETE FOURIER TRANSFORM 1. Introduction The sampled discrete-time fourier transform (DTFT) of a finite length, discrete-time signal is known as the discrete Fourier transform (DFT). The DFT contains

More information

TAYLOR SERIES [SST 8.8]

TAYLOR SERIES [SST 8.8] TAYLOR SERIES [SST 8.8] TAYLOR SERIES: Every function f C (c R, c + R) has a unique Taylor series about x = c of the form: f (k) (c) f(x) = (x c) k = f(c) + f (c) (x c) + f (c) (x c) 2 + f (c) (x c) 3

More information

MATH 1A, Complete Lecture Notes. Fedor Duzhin

MATH 1A, Complete Lecture Notes. Fedor Duzhin MATH 1A, Complete Lecture Notes Fedor Duzhin 2007 Contents I Limit 6 1 Sets and Functions 7 1.1 Sets................................. 7 1.2 Functions.............................. 8 1.3 How to define a

More information