Ramanujan summation of divergent series

Size: px
Start display at page:

Download "Ramanujan summation of divergent series"

Transcription

1 Ramanujan summation of divergent series B Candelpergher To cite this version: B Candelpergher. Ramanujan summation of divergent series. Lectures notes in mathematics, 285, 27. <hal-528v2> HAL Id: hal Submitted on 29 Mar 27 HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

2 Ramanujan summation of divergent series B. Candelpergher

3 2

4 Contents Introduction: the summation of series v Ramanujan summation. The Euler-MacLaurin summation formula Ramanujan s constant of a series A difference equation The functions ϕ f and R f The fundamental theorem The summation Definition and examples The fractional sum Relation to usual summation Properties of the Ramanujan summation Some elementary properties The unusual property of the shift Summation by parts Sums of products Summation and derivation The case of an entire function The sum of an entire function An expression of Catalan s constant Some trigonometric series Functional relations for fractional sums Dependence on a parameter Analyticity with respect to a parameter The theorem of analyticity Analytic continuation of Dirichlet series The zeta function of the Laplacian on S More zeta series A modified zeta function The sums R nk ϕ f (n) Integration with respect to a parameter i

5 ii CONTENTS 3.2. Interchanging R and I The functional equation for zeta The case of a Laplace transform Series involving zeta values Double sums Definitions and properties Some formulas for the Stieltjes constant γ A simple proof of a formula of Ramanujan The functional relation for Eisenstein function G Transformation formulas 4. A Borel summable series A formal transform Borel summation Borel summability of Euler-MacLaurin series A convergent expansion Bernoulli numbers of second kind Newton interpolation formula Evaluation of n f() The convergent transformation formula Summation of alternating series Euler summation of alternating series Properties of the summation Relation with the Ramanujan summation Generalization An algebraic view on the summation of series Introduction An algebraic formalism Properties of the general summation The linearity property The shift property The associated algebraic limit Sum of products Examples Appendix Euler-MacLaurin and Euler-Boole formulas A Taylor formula The Euler-MacLaurin formula The Euler-Boole formula Ramanujan s interpolation formula and Carlson s theorem Bibliography 67 8 Chapter VI of the second Ramanujan s Notebook 7

6 CONTENTS iii Notation * For x = a + ib where a and b are real we use the notation a = Re(x) and b = Im(x) * The derivative of a function f is denoted by f or f. * The difference operator is defined by (f) = f(x + ) f(x). * For k N and j =,..., k we use the binomial coefficient C j k = k! j!(k j)! * The harmonic numbers are H (s) n = + 2 s n s. * The Bernoulli polynomials B k (x) are defined by n B n (x) t n = text n! e t and the Bernoulli numbers B n = B n () We have B =, B = /2, B 2n+ = if n. * We define the Bernoulli numbers of second kind β n by t log( + t) = n β n n! tn = + β n+ (n + )! tn+ n * The Euler polynomials E n (x) are defined by n E n (x) z n = 2exz n! e z + and we set E n = E n (). * For x C we use the notation x f(u)du for the integral x f(u)du = f( + t(x ))(x )dt that is the integral on the segment relying to x. * Log is the logarithm function defined on C\], ] by that is for x C\], ] by Log(x) = x u du Log(x) = Log( x ) + iθ if x = x e iθ, θ ] π, π[

7 iv CONTENTS * The Stieltjes constants γ k are defined by γ k = ( n Log k (j) lim n + j j= Logk+ (n)) k + The Euler constant γ is γ. * The Catalan constant is G = + n= * The digamma function is ψ(z) = Γ (z) Γ(z) ( ) n (2n ) 2. * We define O α the space of functions g analytic in a half plane {x C Re(x) > a} with some a < and of exponential type < α: there exists β < α such that g(x) Ce β x for Re(x) > a * We say that f is of moderate growth if f is analytic in a half plane {x C Re(x) > a} with some a < and of exponential type < ε for all ε >. * For f O π the function R f is the unique solution in O π of R f (x) R f (x + ) = f(x) with 2 R f (x)dx = * For f O π the function ϕ f is the unique function in O π such that ϕ f (n) = f() f(n) for every integer n * For f O π the Ramanujan summation of f(n) is defined by f(n) = R f () If the series is convergent then + n= f(n) denotes its usual sum.

8 Introduction: the summation of series The strange sums and n n n = n 3 = appear in Physics about the study of the Casimir effect which is the existence of an attractive force between two parallel conducting plates in the vacuum. These series are examples of divergent series in contrast to convergent series, the notion of convergence for a series was introduced by Cauchy in his Cours d Analyse in order to avoid frequent mistakes in working with series. Given a series of complex numbers n a n, Cauchy considers the sequence of the partial sums s = s = a s 2 = a + a... s n = a a n and says that the series n a n is convergent if and only if the sequence (s n ) has a finite limit when n goes to infinity. In this case the sum of the series is defined by a n = lim s n n + n= The classical Riemann series n s is convergent for every complex number s such that Re(s) > and defines the Riemann zeta function defined for Re(s) > by ζ : s + n= n s. v

9 vi INTRODUCTION: THE SUMMATION OF SERIES Non convergent series are divergent series. For Re(s) the Riemann series is a divergent series and does not give a finite value for the sums that appear in the Casimir effect. A possible strategy to assign a finite value to these sums is to perform an analytic continuation of the zeta function, this has been done by Riemann (cf. Edwards) who found an integral formula for ζ(s) which is valid not only for Re(s) > but also for s C\{}. By this method we can assign to the series nk with k > the value ζ( k), we get for example n = ζ() = 2 n = ζ( ) = 2 n 2 = ζ( 2) = n 3 = ζ( 3) = 2... For k = we have the harmonic series n = which is easily proved to be a divergent series since the partial sums s n verify s n = n 2 x dx dx x n+ n dx = Log(n + ) x But the strategy of analytic continuation of the zeta function does not work in this case since ζ has a pole at s = that is lim s ζ(s) =. Divergent series appear elsewhere in Analysis and are difficult to handle, for example by using the preceding values of nk it seems that 2 2 = ( ) = = ( ) = 2 This absurdity shows that with divergent series we cannot use the classical rules of calculation, and for a given class of series we need to define precisely some method of summation and its rules of calculation. Before and after Cauchy, some methods of summation of series have been introduced by several mathematicians such as Cesaro, Euler, Abel, Borel and

10 vii others. These methods of summation assign to a series of complex numbers n a n a number obtained by taking the limit of some means of the partial sums s n. For example the Cesaro summation assigns to a series n n a n the number C n a n = lim n + s s n n (when this limit is finite) For the Abel summation we take A a n = lim ( t) + s n+ t n t n n= (when this limit is finite) where the series n s n+t n is supposed to be convergent for every t [, [. Note that this expression can be simplified since and we have ( t) s n+ t n = s + n= n= (s n+ s n )t n = n= a n t n A a n = lim n t n= a n t n (when this limit is finite) this gives for example A ( ) n = lim n t n= ( ) n t n = lim t + t = 2 The classical methods of summation use these types of means of partial sum and can be briefly presented in the following form. Let T be a topological space of parameters and l some limit point of the compactification of T (if T = N then l = +, if T = [, [ then l = ). Let (p n (t)) n N be a family of complex sequences indexed by t T such that for all t T the series n p n(t) is convergent, then we set T n + n= a n = lim p n(t)s n t l + n= p n(t) when this limit is finite and in this case we say that the series n a n is T -summable. A theorem of Toeplitz (cf. Hardy) gives necessary and sufficient conditions on the family (p n (t)) n N to insure that in case of convergence this summation coincides with the usual Cauchy summation.

11 viii INTRODUCTION: THE SUMMATION OF SERIES These summation methods verify the linearity conditions T (a n + b n ) = n T Ca n = C n T a n + n T n b n T a n for every constant C C n and the usual translation property T a n = a + n T n a n+ This last property which seems natural is in fact very restrictive. For example the series can t be T -summable since the translation property gives an absurd relation T T = + n Thus if we need a method of summation such that the sums T n nk are well defined for any integer k then we must abandon the translation property requirement and find a way to define summation procedures other than the way of the limit of means of partial sums. This can be done by using a sort of generating function for the terms of the series. It is based on the following algebraic framework (cf. Candelpergher). Let E be a C-vector space (in general a space of functions) equiped with a linear operator D and a linear map v : E C. Given a sequence of complex numbers (a n ) n we call an element f E a generator of this sequence if We can write formally n a n = v (D n f) n a n = n v (D n f) = v ( n thus if R verifies the equation then we get D n f) = v ((I D) f) (I D)R = f () a n = v (R) n Of course, such an algebraic definition of summation needs some hypotheses, especially to assure uniqueness of the solution of equation (), this is presented in Chapter 5.

12 ix It is easy to see that the Cauchy summation is a special case of this algebraic formalism: we take E as the vector space of convergent complex sequences u = (u n ) n and D : (u n ) (u n+ ) v : (u n ) u In this case the generator of a sequence of complex numbers (a n ) n is precisely this sequence f = (a n ) n since (D n f) k = a k+n. If we set R = (r n ) n equation () becomes the difference equation r n r n+ = a n The solution of this equation is defined up to an arbitrary constant, thus to get a unique solution we need to impose a condition on (r n ) n. Since we see that if we add the condition r r n = a a n lim r n = n + then we have a unique solution R of () and we get the usual convergence of the series n a n with v (R) = r = lim (a a n ) = a n n + n= With this algebraic setting we have presented (cf. Candelpergher) the summation method employed by Ramanujan in Chapter VI of his second Notebook. This is done in a way similar to the Cauchy summation but replacing the space of sequences by a certain space E of analytic functions and Df(x) = f(x + ) v (f) = f() For the Ramanujan summation the terms of the series are indexed with n as Ramanujan does and since v (D n f) = f(n) we define this summation for the series of type f(n) where f E. In this case equation () is simply the difference equation R(x) R(x + ) = f(x) (2) If we can select a solution R f of this equation then we define the Ramanujan summation by f(n) = R f () (3)

13 x INTRODUCTION: THE SUMMATION OF SERIES Existence and uniqueness of a solution of (2) can be proved by use of a general Laplace transform (cf. Candelpergher, Coppo, Delabaere). Now in Chapter we give a more simple presentation that avoids the Laplace transform and we give more explicit formulas. We start, as Ramanujan in his second Notebook, with the summation formula of Euler and MacLaurin f() f(n) = C f + n f(x)dx + f(n) + k B k k! k f(n) This formula can be viewed as an asymptotic expansion, when x goes to infinity, of the function that Ramanujan writes ϕ f : x f() f(x) which is an hypothetical interpolation function of the partial sums of the series f(n), given with the condition ϕ f () =. This expansion contains a constant C f that Ramanujan calls the constant of the series and treats like a sort of sum for the series. Since ϕ f (x + ) ϕ f (x) = f(x + ), we see that if we set R f (x) = C f + f(x) ϕ f (x) then the function R f is a solution of equation (2) and f(n) = R f () = C f We use the term Ramanujan constant for R f () since the expression Ramanujan sum is widely used for another notion in Number Theory. We give a precise definition of R f in Chapter by the use of an integral formula which is related to the Abel-Plana summation formula. For a function f sufficiently decreasing, the Euler-MacLaurin summation formula gives C f = lim n + ( n f() f(n) f(x)dx ) (4) thus if we are in a case of convergence of the series and integral then we have f(n) = n= f(n) f(x)dx (5) There is also the apparition of an integral when we compare the sums R f(n) and R f(n + ), since by (4) we have, in contrast to the usual translation property, the unusual shift property f(n + ) = f(n) f() + 2 f(x)dx (6)

14 xi When we apply this property to the function R f and use equation (2) we get 2 R f (x)dx = (7) This gives a way to define a general Ramanujan summation, independently of the Euler-MacLaurin formula, by equations (2) and (3) with R f of exponential growth < π and verifying the integral condition (7) in order to determine a unique solution R f. The shift property (6) remains valid in this general setting and is very useful, for example the Casimir series (n )k (with k a positive integer) are Ramanujan summables and we have n k = (n ) k + 2 (x ) k dx = (n ) k + k + (8) We see that the series + 2 k + 3 k + 4 k +... and k + 3 k + 4 k +... don t have the same sum! This is a consequence of the fact that the Ramanujan summation of f(n) is intimately related to the function f (in the first case we have f(x) = x k and in the second f(x) = (x ) k ). In chapter 2 we study elementary properties of the Ramanujan summation in comparison to the classical properties of the usual Cauchy summation. We prove a surprising relation between the sums ϕ f (n) and n f(x)dx We also give, in the special case of an entire function f of exponential type < π, a simple formula for the Ramanujan summation of a series f(n) in terms of a convergent series involving the Bernoulli numbers f(n) = f(x)dx 2 f() + k= k f() B k+ (k + )! In Chapter 3 we give important theorems that concern properties of sums R f(z, n) where z is a parameter, with respect to derivation, integration or summation of f in z. The simplest introduction of an external parameter in a series f(n) is to consider the series f(n)e nz. We prove that if f is a function of moderate growth then we have f(n) = lim z f(n)e nz

15 xii INTRODUCTION: THE SUMMATION OF SERIES But if z > then the series f(n)e nz is convergent and by (5) we have ( + f(n) = lim f(n)e nz z + n= f(x)e zx dx ) (9) which seems to be a standard method of regularization used in Physics. A very important property of the Ramanujan summation is that the analyticity of the terms of a series implies the analyticity of the sum. A simple example is given by the zeta series n. This series is convergent only z for Re(s) > but the Ramanujan summation of this series is defined for all z C and by (5) we have for Re(z) > + n z = n z z = ζ(z) z By this property of analyticity this formula remains valid for all z and we see that the Ramanujan summation of the zeta series cancels the pole of the zeta function at z =. More precisely at z = we have by (4) n = lim ( n + n Log(n)) = γ (Euler constant) We also note that for the Casimir series (n )k (with k a positive integer) we have by (8) (n ) k = n k = ζ( k) () k + In the second section of Chapter 3 we study the possibility to integrate the sum R f(z, n) with respect to z. For example we have for < Re(s) < R u s R n + u du = u s n + u du = π sin πs n s which gives simply the functional equation for the ζ function. Finally we give a sort of Fubini theorem for double sums m f(m, n) We apply this result to the Eisenstein function G 2 (cf. Busam and Freitag) G 2 (z) = n= ( + m= m if n= ) (m + nz) 2

16 xiii Since we don t have absolute summability we cannot interchange the sums, but thanks to the Ramanujan summation we can prove simply that this function G 2 satisfies the non trivial relation G 2 ( z ) = z2 G 2 (z) 2iπz In Chapter 4 we give some relations of the Ramanujan summation to other summation formulas. First we recall the classical result (cf. Hardy) on the Borel summability of the asymptotic series B k k k! k f(n) that appears in the Euler-MacLaurin formula and we give the formula linking R f(n) with the Borel-sum of the series B k k k! k f(). In the second section of this chapter we use the Newton interpolation series (cf. Nörlund) to give a transformation formula involving a convergent series β k+ f(n) = (k + )! ( k f)() k= where the β k are the Bernoulli numbers of the second kind and is the usual difference operator. This formula is related to the classical Laplace summation formula (cf. Boole). In the third section we see that we can define the Euler summation of alternate series by using the Euler-Boole summation formula that is an analogue of the Euler-Maclaurin formula. We see that this summation is given by E ( ) n ( ) k f(n) = 2 k+ ( k f)() k= and we prove that this sum is related to the sums R R f(2n) by f(2n ) f(2n) = E ( ) n f(n) 2 2 f(2n ) and f(t)dt This can also be generalized to series of type ωn f(n) where ω is a root of unity. The unusual shift property (6) shows that the Ramanujan summation does not verify the translation property which is required (with linearity) for a summation method by Hardy in his very fine book Divergent series. But we have seen that abandon of the translation property is necessary if we want to sum series like P (n) where P is a polynomial. Thus in Chapter 5 we give a general algebraic theory of summation of series that unifies the classical summation methods and the Ramanujan summation. In this general

17 xiv INTRODUCTION: THE SUMMATION OF SERIES framework the usual translation property appears as a special case of a more general shift property. In appendix we give the classical Euler-MacLaurin and Euler-Boole formulas and a proof of Carlson s theorem. Obviously we can not claim that our version of the Ramanujan summation is exactly the summation procedure that Ramanujan had in mind, so we give an exact copy of the Chapter VI of the second Notebook in which Ramanujan introduces the constant of a series. Acknowledgements My warmest thanks to M.A. Coppo, E. Delabaere, H. Gopalkrishna Gadiyar and R. Padma for their interest and contributions to the study of the Ramanujan summation. I also wish to express my gratitude to F. Rouviere for his helpful comments and his constant encouragements.

18 Chapter Ramanujan summation In the first two sections of this chapter we recall the Euler-MacLaurin formula and use it to define what Ramanujan, in Chapter VI of his second Notebook, calls the constant of a series. But, as Hardy has observed, Ramanujan leaves some ambiguity in the definition of this constant. Thus in the third section we interpret this constant as the value of a precise solution of a difference equation. Then we can give in section.4 a rigorous definition of the Ramanujan summation and its relation to the usual summation for convergent series.. The Euler-MacLaurin summation formula Let s consider a function f C (], + [). For every positive integer n we can write n n f(k) = (k (k ))f(k) k= k= n = nf(n) k(f(k + ) f(k)) = nf(n) k= n k+ k= k [x]f (x)dx where [x] is the integral part of x. Let {x} = x [x], then n n n f(k) = nf(n) xf (x)dx + {x}f (x)dx k= and integration by parts gives n f(k) = f() + k= n f(x)dx + n {x}f (x)dx

19 2 CHAPTER. RAMANUJAN SUMMATION In order to generalize this formula we define the function b (x) = {x} 2 which is a -periodic function with b (x)dx =. We have n f(k) = f() + k= n f(x)dx + n b (x)f (x)dx + 2 thus we get the Euler-MacLaurin formula to order : n f(k) = k= n n f (x)dx f(x)dx + n 2 (f(n) + f()) + b (x)f (x)dx (.) To make another integration by parts in the last integral we introduce the function c 2 (x) = x b (t)dt which is a -periodic with c 2 (n) = for every positive integer n and then by integration by parts Thus we get n f(k) = k= n n c 2 (x) = x2 2 x 2 b (x)f (x)dx = We now replace the function c 2 by if x ], [ n c 2 (x)f (x)dx f(x)dx + n 2 (f(n) + f()) c 2 (x)f (x)dx b 2 (x) 2 with the choice of B 2 in order that = c 2 (x) + B 2 2 b 2 (x) 2 dx = which gives B 2 = /6 and b2(x) 2 = x2 2 x if x [, [. Then we get the Euler-MacLaurin formula to order 2: n f(k) = k= n f(x)dx+ n 2 (f(n)+f())+b 2 2 (f (n) f b 2 (x) ()) 2 f (x)dx

20 .2. RAMANUJAN S CONSTANT OF A SERIES 3 If we continue these integrations by parts we get a general Euler-MacLaurin formula to order m: f() f(n) = n + f(x)dx + m k=2 f() + f(n) 2 ( ) k B k [ k f(n) k f()] k! +( ) m+ n b m (x) m f(x)dx m! where b m (x) is the -periodic function b m (x) = B m (x [x]), with the Bernoulli polynomials B k (x) defined by n B n (x) t n = text n! e t and the Bernoulli numbers B n = B n () (we verify that B 2k+ = for k ). For a simple proof of this general formula see Appendix..2 Ramanujan s constant of a series Let f be a C function defined for real x >. In the beginning of Chapter VI of his Notebook 2, Ramanujan introduces the hypothetical sum f() + f(2) + f(3) + f(4) f(x) = ϕ(x), which is intended to be the solution of ϕ(x) ϕ(x ) = f(x) with ϕ() = Let s take the numbers B r defined when r = 2, 4, 6,... by (second notebook chapter V, entry 9) x e x = x 2 + k ( ) k B 2k x 2k (2k)! then Ramanujan writes the Euler-McLaurin series ϕ(x) = C + f(x)dx+ 2 f(x)+b 2 2 f (x) B 4 4 f (x)+ B 6 6 f V (x)+ B 8 8 f V II (x)+... and he says about the constant C : the algebraic constant of a series is the constant obtained by completing the remaining part in the above theorem. We can substitute this constant which is like the centre of gravity of a body instead of its divergent infinite series.

21 4 CHAPTER. RAMANUJAN SUMMATION In Ramanujan s notation the numbers B 2n are related with the usual Bernoulli numbers by B 2n = ( ) n B 2n Thus we can write the above Euler-McLaurin series in the form ϕ(x) = C + f(x)dx + 2 f(x) + B 2k (2k)! 2k f(x) k 2 The main difficulty with this formula is that this last series is not always convergent. Therefore we replace this series by a finite sum and give a precise meaning to the integral. We are thus led to write the Euler-MacLaurin summation formula in the form f() f(n) = C m (f) + where C m (f) = f() 2 m k= n n f(x)dx + f(n) 2 + b 2m+ (x) (2m + )! 2m+ f(x)dx m k= B 2k (2k)! 2k f(n) B + 2k b 2m+ (x) (2k)! 2k f() + (2m + )! 2m+ f(x)dx in this formula we assume that the function f is an infinitely differentiable function and that the integral b 2m+ (x) 2m+ f(x)dx is convergent for all m M >. Then by integration by parts we verify that the constant C m (f) does not depend on m if m M thus we set C m (f) = C(f). We use the notation C(f) = f(n) and call it the Ramanujan s constant of the series. Example If f is a constant function then f = thus R f() f(n) = 2. Thus = 2 If f(x) = x then 2 f = thus R n = 2 B2 2 = 5 2.

22 .2. RAMANUJAN S CONSTANT OF A SERIES 5 The case of convergence Assume that the integral b (x) f(x)dx is convergent, then the Euler- MacLaurin formula to order is simply with f() f(n) = C(f) + n C(f) = f() 2 + f(x)dx + f(n) 2 n b (x)f (x)dx b (x)f (x)dx Since b n (x)f (x)dx when n + we get the following expression of the Ramanujan constant as the limit f(n) = lim n + ( f() f(n) n f(x)dx f(n) ) 2 (.2) If in addition we assume that lim n + f(n) = then we have f(n) = lim n + n ( f() f(n ) k= k+ k f(x)dx ) thus we get an expression of the Ramanujan constant as a sum of a convergent series ( n+ f(n) = f(n) f(x)dx ) (.3) n= This proves the property that if the series f(n) and the integral f(x)dx are convergent then we have the relation f(n) = f(n) n f(x)dx (.4) Examples ) If f(x) = x z with Re(z) > then by (.4) + n z = + n z + x z dx = n z z thus for Re(z) > we have the relation with the classical Riemann zeta function n z = ζ(z) (.5) z

23 6 CHAPTER. RAMANUJAN SUMMATION 2) If f(x) = x n = then by (.2) lim ( n n + k Log(n) 2n ) = k= lim ( n n + k Log(n)) k= thus = γ where γ is the Euler constant (.6) n 3) If f(x) = Log(x) then by (.2) Log(n) = lim ( n Log(k) (nlog(n) n + + n + 2 Log(n)) k= Using the Stirling formula we have this gives lim n + k= n Log(k) (nlog(n) n + 2 Log(n)) = Log( 2π) Log(n) = Log( 2π) (.7) 4) If f(x) = xlog(x) then we have f(x) = Log(x) + and 2 f(x) = x. Thus by the preceding Euler-MacLaurin formula with m = we have nlog(n) = this gives nlog(n) = thus lim n + lim n + ( n klog(k) k= ( n k= n xlog(x)dx nlog(n) 2 Log(n) + ) 2 klog(k) Log(n)( n2 2 + n ) + n2 ) 4 3 nlog(n) = Log(A) 3 (.8) where A is the Glaisher-Kinkelin constant (cf. Srivastava and Choi p.39). This constant is related to the zeta function by the following relation that we prove later on nlog(n) = ζ ( ) 4

24 .2. RAMANUJAN S CONSTANT OF A SERIES 7 Remark Note that with the Euler-MacLaurin formula we have for all a > : f() f(n) = a f() f(x)dx + 2 m B 2k k= (2k)! 2k f() + b 2m+(x) (2m+)! 2m+ f(x)dx + n f(n) f(x)dx + a 2 + m B 2k k= (2k)! 2k f(n) b 2m+(x) n (2m+)! 2m+ f(x)dx f(n) is re- This is a summation formula where the constant C(f) = R placed by a C a (f) = f(x)dx + f(n) It seems that Ramanujan leaves the possibility that the choice of a depends on the series considered. In the special case where the series f(n) and the integral f(x)dx are convergent then if we take a = + we get C (f) = and with the relation (.4) we get C (f) = f(x)dx + n= f(n) f(n) This explains an assertion of Ramanujan in Notebook 2 Chapter 6 p.62: If f () + f (2) f (x) be a convergent series then its constant is the sum of the series. But if for example f(x) = x, then it is not possible to take a = + since C (f) is not defined but if we take for example a = then C (f) = x dx + n = B 2 2 To get simple properties of the Ramanujan summation we fix the parameter a in the integral, and we make the choice a = in order to have n = γ

25 8 CHAPTER. RAMANUJAN SUMMATION Conclusion With the use of Euler-Maclaurin formula we have the definition of the constant of a series by n f(n) = lim (f()+...+f(n) [ n + this needs convergence of the integral f(x)dx+ f(n) 2 + m b 2m+ (x) 2m+ f(x)dx k= B 2k (2k)! 2k f(n)] (.9) This last hypothesis is not always satisfied, for example if we look at a series like en. Thus we need to avoid the systematic use of Euler- McLaurin formula and define in a more algebraic way the Ramanujan summation..3 A difference equation.3. The functions ϕ f and R f In his Notebook Ramanujan uses the function ϕ formally defined by ϕ(x) = f() f(x) It seems he has in mind a sort of unique interpolation function ϕ f of the partial sums f() + f(2) f(n) of the series f(n) associated to f. This interpolation function must verify ϕ f (x) ϕ f (x ) = f(x) (.) and Ramanujan sets the additional condition ϕ f () =. With this condition the relation (.) gives for every n integer ϕ f (n) = f() + f(2) f(n) Note that if the series f(n) is convergent we have lim ϕ f (n) = f(n) n + n= Now in general the Euler-Mclaurin summation formula gives an expansion of the function ϕ f which we can write ϕ f (n) = C(f) + f(n) R f (n)

26 .3. A DIFFERENCE EQUATION 9 where the function R f is defined by R f (n) = f(n) 2 m and C(f) = f() 2 k= B + 2k (2k)! 2k f(n)+ n m k= We observe that C(f) = R f (). Thus we get b 2m+ (t) (2m + )! 2m+ f(t)dt n B + 2k b 2m+ (x) (2k)! 2k f() + (2m + )! 2m+ f(x)dx f(t)dt (.) f(n) = R f () (.2).3.2 The fundamental theorem To avoid the systematic use of the Euler-MacLaurin summation formula we now find another way to define the function R f. The difference equation ϕ f (n + ) ϕ f (n) = f(n + ) and the relation ϕ f (n) = C(f) + f(n) R f (n) gives for R f equation R f (n) R f (n + ) = f(n) the difference By (.2) it seems natural to define the Ramanujan summation of the series f(n) by R f(n) = R() where the function R satisfies the difference equation R(x) R(x + ) = f(x) Clearly this equation is not sufficient to determine the function R, so we need additional conditions on R. Let us try to find these conditions. First we see, by the definition (.) of R f, that if f and its derivatives are sufficiently decreasing at + then we have lim R f (n) = n + f(x)dx

27 CHAPTER. RAMANUJAN SUMMATION But we can t impose this sort of condition on the function R because it involves the integral f(x)dx which, in the general case, is divergent. Thus we now translate it into another form. Suppose we have a smooth function R solution of the difference equation R(x) R(x + ) = f(x) for all x > Now if we integrate the two sides of this equation between k and k + for all integer k, and formally take the infinite sum over k, we obtain f(x)dx = 2 R(x)dx lim R(x) x + We see that for the function R we have the equivalence lim R(x) = f(x)dx if and only if x + 2 R(x)dx = Thus we can try to define the function R f by the difference equation R f (x) R f (x + ) = f(x) with the condition 2 R f (x)dx = Unfortunately this does not define a unique function R f because we can add to R f any combination of periodic functions x e 2iπkx. To avoid this problem we add the hypothesis that R f is analytic in the half plane {x C Re(x) > } and of exponential type < 2π: Definition A function g analytic for Re(x) > a is of exponential type < α (α > ) if there exists β < α such that g(x) Ce β x for Re(x) > a We define O α the space of functions g analytic in a half plane {x C Re(x) > a} with some a < and of exponential type < α in this half plane. We say that f is of moderate growth if f is analytic in this half plane and of exponential type < ε for all ε >. With this definition we have the following lemma : Lemma (uniqueness lemma) Let R O 2π, be a solution of then R =. R(x) R(x + ) = with 2 R(x)dx =

28 .3. A DIFFERENCE EQUATION Proof By the condition R(x) R(x + ) =, we see that R can be extended to an entire function. And we can write R(x) = R (e 2iπx ) where R is the analytic function in C\{} given by R (z) = R( 2iπ Log(z)) (where Log is defined by Log(re iθ ) = ln(r) + iθ with θ < 2π). The Laurent expansion of R gives R(x) = n Z c n e 2iπnx the coefficients c n are c n = 2πr n 2π R (re it )e int dt = 2πr n 2π where r >. The condition that R is of exponential type < 2π gives c n r n Ce α 2π ln(r) with α 2π <. R( t 2π + 2iπ ln(r))e int dt If we take r we get c n = for n < and if we take r + then we get c n = for n >. Finally the condition 2 R(x)dx = then gives c =. Theorem If f O α with α 2π there exists a unique function R f O α such that R f (x) R f (x + ) = f(x) with 2 R f (x)dx =. This function is R f (x) = x f(t)dt + f(x) 2 + i f(x + it) f(x it) e 2πt dt (.3) Proof a) Uniqueness is given by the preceding lemma. b) The function R f defined by (.3) is clearly in O α. c) Let us prove that R f (x) R f (x + ) = f(x). By analyticity it is sufficient to prove this for real x. Consider the integral f(z) cot(π(z x))dz 2i with γ the path γ

29 2 CHAPTER. RAMANUJAN SUMMATION iy x x+ -iy By the residue theorem we have f(z) cot(π(z x))dz = f(x) 2i γ To evaluate the different contributions of the integral we use the formulas: and 2i cot(π(z x)) = 2 e 2iπ(z x) 2i cot(π(z x)) = 2 + e 2iπ(z x) when Im(z) > when Im(z) <. Let us examine the different contributions of the integral: * the semicircular path at x and x + gives when ε * the horizontal lines give 2 f(x) f(x + ) 2 ( x+ 2 ) f(t + iy)dt + 2 x x+ x f(t iy)dt and two additional terms which vanish when y + (by the hypothesis that f of exponential type < 2π). * the vertical lines give and 2 i y ε y ε f(x + it) f(x it) e 2πt dt i f(x+it)idt 2 y ε f(x it)idt 2 y ε y ε f(x + + it) f(x + it) e 2πt dt f(x++it)idt+ 2 y ε f(x+ it)idt

30 .3. A DIFFERENCE EQUATION 3 If we add this term with the contributions of the horizontal lines we obtain the sum of the integrals of f on the paths iy ιε ιε x x+ -iy By the Cauchy theorem this sum is 2 x+ x f(t + iε)dt + 2 x+ x f(t iε)dt which gives the contribution x+ x f(t)dt when ε. Finally when ε and y + we get f(x) = 2 f(x) f(x + ) 2 f(x + it) f(x it) +i e 2πt dt i + x+ x f(x + + it) f(x + it) e 2πt f(t)dt This is f(x) = R f (x) R f (x + ) with R f given by (.3). d) It remains to prove that 2 R f (x)dx =. By Fubini s theorem 2 f(x + it) f(x it) e 2πt dt dx = We have for < x < f(x + it) f(x it) e 2πt dx dt (f(x + it) f(x it))dx = F (2 + it) F (2 it) (F ( + it) F ( it))

31 4 CHAPTER. RAMANUJAN SUMMATION where F (x) = x f(t)dt. Thus 2 f(x + it) f(x it) e 2πt dt dx = F (2 + it) F (2 it) e 2πt dt F ( + it) F ( it) e 2πt dt By the preceding result (applied with F in place of f) we have With x = we get i 2 This gives 2 R f (x)dx = F (x) = 2 F (x) F (x + ) 2 F (x + it) F (x it) +i e 2πt dt i + x+ x F (x + + it) F (x + it) e 2πt F (t)dt f(x + it) f(x it) F () + F (2) e 2πt dt dx = F (x)dx+ 2 2 f(x)dx ( F () + F (2) ) F (t)dt F (t)dt =.4 The summation.4. Definition and examples Consider f O 2π, then by Theorem we can define the Ramanujan summation of the series f(n) by f(n) = R f () where R f is the unique solution in O 2π of R f (x) R f (x + ) = with 2 R f (x)dx =.

32 .4. THE SUMMATION 5 We immediately note that for some f O 2π this definition can give surprising results. Let us consider for example the function f : x sin(πx), since sin(πx) sin(π(x + )) = sin(πx) 2 2 we get thus R f (x) = sin(πx) 2 2 sin(πx) dx = sin(πx) π sin(πn) = π But sin(πn) = g(n) with the function g =, and we have trivially R g = which gives = This example shows that for f O 2π the sum R f(n) depends not only on the values f(n) for integers n but also on the interpolation function f we have chosen. To avoid this phenomenon we restrict the Ramanujan summation to functions f in O π, since with this condition we can apply Carlson s theorem (see Appendix) which says that such a function is uniquely determined by its values f(n) for all integers n. Note that in this case the function R f given by theorem is also in O π. Definition 2 If f O π, then there exist s a unique solution R f O π of R f (x) R f (x + ) = f(x) with 2 R f (x)dx = We call this function R f the fractional remainder of f and we set f(n) = R f () By (.3) we have by the integral formula f(n) = f() 2 + i f( + it) f( it) e 2πt dt (.4)

33 6 CHAPTER. RAMANUJAN SUMMATION We call this procedure the Ramanujan summation of the series f(n) and R f(n) the Ramanujan constant of the series. Some properties are immediate consequences of this definition: Linearity If a and b are complex numbers and f and g are in O π, then we verify immediately that R af+bg = ar f + br g thus the Ramanujan summation has the property of linearity af(n) + bg(n) = a f(n) + b g(n) Reality Consider g O π such that g(x) R if x R. Then for all t > we have by the reflection principle g( it) = g( + it) thus i(g( + it) g( it)) R and by the integral formula (.4) we have g(n) R Real and imaginary parts Take f O π defined in the half plane {x C Re(x) > a} with a <. We define for x ]a, + [ the functions f r : x Re(f(x)) and f i : x Im(f(x)) and assume that the functions f r and f i have analytic continuations on the half plane {x C Re(x) > a} that are in O π. Then we can define the sums R Re(f(n)) and R Im(f(n)) by By linearity we have f(n) = Re(f(n)) = Im(f(n)) = f r (n) f i (n) (f r (n)) + i f i (n)) = f r (n) + i f i (n)

34 .4. THE SUMMATION 7 Since f r (x) and f i (x) are real for x R then by the reality property we get Re( f(n)) = Re(f(n)) Im( f(n)) = Im(f(n)) For example if f(z) = z+i then f r : z z z 2 + and f i : z analytic functions in O π. Thus z 2 + are Re( Im( R n + i ) = R n + i ) = n n 2 + n 2 + Remark Note that generally we can t write R f(n) = R f(n) since the function f is not analytic (if f is non constant). Examples ) Take f(x) = e zx with z C then for Re(x) > we have f(x) = e Re(zx) = e Re(z x x ) x Thus if we set x x = eiθ then f O π for z U π where U π = {z C sup Re( ze iθ ) < π} θ [ π 2, π 2 ]

35 8 CHAPTER. RAMANUJAN SUMMATION Then if z U π \{} we can write e zx e e e z(x+) = e zx z z this gives R f (x) = e zx e 2 e zx z e dx, thus we have z and we get for z U π \{} R f (x) = e zx e z e z z e zn = e z e z e z z (.5) For z = we have R e zn = R = 2 = lim z ( e z e e z z z ). If z = it with t ] π, π[\{}, taking real and imaginary part of (.5) we get cos(nt) = sin(t) (.6) t 2 sin(nt) = 2 cot( t 2 ) cos(t) t (.7) 2) Let k be a positive integer. By the definition of the Bernoulli polynomials we verify that B k+ (x + ) k + and since B k+(x)dx = we have 2 B k+ (x) k + dx = B k+(x) k + = x k B k+ (x + ) B k (x) dx = k + k + dx + Thus if f(x) = x k where k is an integer then x k dx = k + R x k(x) = B k+(x) k + (.8) thus we get n k = B k+ k + if k and = 2 (.9)

36 .4. THE SUMMATION 9 3) Take f(x) = x with Re(x) >. z a) For Re(z) > and Re(x) > the series n and defines the Hurwitz zeta function: (n+x) z is convergent Since ζ(z, x) = n= (n + x) z ζ(z, x) ζ(z, x + ) = x z (.2) we have Since the series + n= 2 n= 2 R f (x) = ζ(z, x) (n+x) z (n + x) z dx = z n= Thus for Re(z) > we have n= (n + x) z dx is uniformly convergent for x [, 2] we have ( (n + ) z (n + 2) z ) = z R (x) = ζ(z, x) xz z b) For every z the integral formula (.3) for the function R f gives x z R (x) = xz z z + 2 x z + 2 (x 2 + t 2 ) z/2 sin(z arctan(t/x)) e 2πt dt since this last integral defines an entire function of z we see that the Hurwitz zeta function, previously defined by the sum + n= (n+x), can be continued z analytically for all z by ζ(z, x) = x z z + 2 x z + 2 (x 2 + t 2 ) z/2 sin(z arctan(t/x)) e 2πt dt And by analytic continuation the equation (.2) remains valid, thus for all z we have R (x) = ζ(z, x) (.2) xz z If we define for z the Riemann zeta function by ζ(z) = ζ(z, ) then we have n z = ζ(z) z (.22)

37 2 CHAPTER. RAMANUJAN SUMMATION We use the notation ζ R (z) = n z (.23) 4) If f(x) = x then the series + n= n+x is divergent and to get a solution of the difference equation R(x) R(x + ) = x we replace it by the series + n= ( n+x n+ ). Thus we have R f (x) = This last integral is 2 n= n= ( n + x 2 n + ) n= ( n + x n + )dx ( n + x + n + )dx = (Log(n + ) Log(n) n ) = γ n= where γ is the Euler constant. Thus and we get R (x) = + ( x n + x n + ) + γ n= n = γ (.24) 5) Another way to get (.24) is to use the the digamma function ψ = Γ /Γ that verifies ψ(x + ) ψ(x) = 2 x with ψ(x)dx = Thus we have Note that we have γ + ψ(x) = R = ψ(x) (.25) x n= ( n + n + x ) (.26) and ψ() = γ. By derivation we have for any integer k > k ψ(x + ) k ψ(x) = ( ) k k! x k+ with 2 k ψ(x)dx = k ψ(2) k ψ() = ( ) k (k )!

38 .4. THE SUMMATION 2 Thus we get R x k+ = ( )k k ψ k! k (.27) Note that for any integer k > we have R = ζ(k + ) n k+ k, thus we have k ψ() = ( ) k+ ζ(k + ) k! 6) Take f(x) = Log(x), where Log is the principal determination of the logarithm. Then the relation Γ(x + ) = xγ(x) gives thus Log Γ(x + ) Log Γ(x) = Log(x) R Log = Log Γ + 2 Log Γ(t)dt since it is known that 2 Log Γ(t)dt = + Log( 2π) cf. Srivastava and Choi) we get R Log (x) = Log(Γ(x)) + Log( 2π) (.28) and for x = we have Log(n) = Log( 2π).4.2 The fractional sum We will now explain how the Ramanujan summation is related to the function that Ramanujan writes ϕ(x) = f() f(x) Consider f O π and suppose we have a function ϕ analytic for Re(x) > a with < a < and of exponential type < π which satisfies ϕ(x) ϕ(x ) = f(x) with ϕ() = This gives ϕ(n) = f() f(n) for every positive integer n, thus the function ϕ is an interpolation function of the partial sums of the series f(n). If we set R(x) = ϕ(x ) + ϕ(x)dx then R is an analytic function for Re(x) > a + of exponential type < π, which satisfies R(x) R(x + ) = f(x) with 2 R(x)dx =, thus R = R f and we get ϕ(x) = ϕ(x)dx R f (x + )

39 22 CHAPTER. RAMANUJAN SUMMATION Since ϕ() = we have ϕ(x)dx = R f () = f(n) and the function ϕ is simply related to the function R f by ϕ(x) = R f () R f (x + ) Inversely this last equation defines a function ϕ analytic for Re(x) > a with < a < and of exponential type < π which satifies ϕ(x) ϕ(x ) = f(x) with ϕ() = We are thus led to the following definition: Definition 3 Let f O π, there is a unique function ϕ f analytic for Re(x) > a with < a < and of exponential type < π which satisfies ϕ f (x) ϕ f (x ) = f(x) with ϕ f () = We call this function the fractional sum of f, it is related to R f by ϕ f (x) = R f () R f (x + ) = f(n) R f (x) + f(x) (.29) and we have f(n) = ϕ f (x)dx (.3) Example If k is an integer then ϕ x k(x) = B k+ k + B k+(x) k + If k = we have ϕ (x) = B (x) + 2 = x. If k is an integer then For k = we have ϕ x k+ = ( )k k! + x k = B k+(x) B k+ k + k Ψ + + ζ(k + ) xk+ ϕ x (x) = Ψ(x) + x + γ + x k

40 .4. THE SUMMATION 23 More generally for z we have ϕ (x) = R (ζ(z, x) x z nz z ) + x z = ζ(z) ζ(z, x) + x z Integral expression of ϕ f The relation (.29) between ϕ f and R f gives by (.3) ϕ f (x) = f(n) + f(x) 2 + x f(t)dt i f(x + it) f(x it) e 2πt dt If we replace x by a positive integer n we get the classic Abel-Plana formula f() f(n) = f() 2 Note that the condition is sufficient to obtain + f(n) 2 lim n + + i + n f( + it) f( it) e 2πt dt f(t)dt i f(n + it) f(n it) e 2πt dt = [ f(n) f(n) = lim f() f(n) n + 2 f(n + it) f(n it) e 2πt dt n f(t)dt ] Examples ) Take the function f = x integers. We have p+xq where p and q are strictly positive p + nq = lim ( n + p + q p + nq q Log(nq)) + Log(p + q) q Thus the generalized Euler constant (cf. Lehmer) defined by γ(p, q) = ( lim n + p + p + q p + nq q Log(nq)) is related to the Ramanujan summation by γ(p, q) = p + nq + p Log(p + q) q

41 24 CHAPTER. RAMANUJAN SUMMATION 2) Take f(x) = Log(x) then ϕ Log (x) = Log(Γ(x + )) and by the integral expression of ϕ Log we have Log(Γ(x + )) = Log( 2π) + 2 Log(x) + xlog(x) x + 2 Remark In his Notebook Ramanujan uses for the function ϕ f the expression ϕ f (x) = n= arctan( t x ) e 2πt dt (f(n) f(n + x)) (.3) when this series is convergent. Note that if the series (f(n) f(n + x)) is convergent and if n= lim f(x) = x + then the relation N N (f(n) f(n + x)) (f(n) f(n + x )) = f(x) f(x + N) gives when N + n= ϕ f (x) ϕ f (x ) = f(x) Thus if we assume that the function defined by (.3) is analytic for Re(x) > a with < a < and of exponential type < π then it verifies the requirements of definition Relation to usual summation. Consider a function f O π, such that By the definition of R f we have lim f(n) = n + n R f () R f (n) = f(k). Thus the series f(n) is convergent if and only if R f (n) has a finite limit when n + and in this case k= f(n) = f(n) + lim R f (n) n +

42 .4. THE SUMMATION 25 Now let us see how this last limit is simply related to the integral of the function f. Recall the integral formula R f (n) = f(n) 2 and assume that n lim n + f(t)dt + i f(n + it) f(n it) e 2πt dt f(n + it) f(n it) e 2πt dt = Then the convergence of the integral f(t)dt is equivalent to the fact that R f (n) has a finite limit when n + and in this case lim R f (n) = n + Thus we have proved the following result : f(t)dt Theorem 2 Consider f O π such that and lim n + lim f(n) = n + f(n + it) f(n it) e 2πt dt = (.32) Then the series f(n) is convergent if and only if the integral f(t)dt is convergent and we have f(n) = f(n) f(x)dx (.33) From now on, we will say in this case that we are in a case of convergence. Example For z C\{, 2, 3,...} we have ( n n + z ) = ( n n + z ) and by (.26) we get R n = γ + ψ(z + ) n + z ( x x + z )dx ( x x + z )dx

43 26 CHAPTER. RAMANUJAN SUMMATION Thus for z C\{, 2, 3,...} we have = ψ(z + ) + Log(z + ) (.34) n + z If p and q are strictly positive integers this gives p + nq = q ψ(p q ) p + q Log(p q + ) By Gauss formula for ψ (c.f. Srivastava and Choi) we get for < p < q p + nq = q γ p + q Log(p + q) + π 2q cot(π p q ) q cos(2πk p q q )Log(2 sin(π k q )) k= Remark Take a function f O π such that the function g : x n= f(x + n) is well defined for Re(x) > and assume that g O π. Then we have Thus we deduce that If in addition we have then it follows that 2 n= R f (x) = g(x) g(x + ) = f(x) R f (x) = g(x) f(x + n)dx = n= 2 2 n= f(x + n) g(x)dx f(x + n)dx f(x)dx. (.35) Thus we see that in this case the function R f is simply related to the usual remainder of the convergent series f(n).

44 Chapter 2 Properties of the Ramanujan summation In this chapter we give some properties of the Ramanujan summation in comparison to the usual properties of the summation of convergent series. In the first section we begin with the shift property which replaces the usual translation property of convergent series. This has important consequences in the use of the Ramanujan summation, especially for the classical formula of summation by parts and of summation of a product. General functional relations for the fractional sum ϕ f are also deduced. In the second section we examine the relation between the Ramanujan summation and derivation, we see that the fractional sums ϕ f and ϕ f are simply related. We deduce some simple formulas for the evaluation of the Ramanujan summation of some series, which constitutes the content of theorems 5 and 6. In the third section we show that in the case of the Ramanujan summation of an entire function the sum R f(n) can be expanded in a convergent series involving the Bernoulli numbers. This very easily gives some formulas involving classical constant or trigonometric series. 2. Some elementary properties 2.. The unusual property of the shift. Let f O π and consider the function g defined by g(u) = f(u + ), we have by definition of R f R f (u + ) R f (u + 2) = f(u + ) = g(u) 27

45 28 CHAPTER 2. PROPERTIES OF THE RAMANUJAN SUMMATION we deduce that the fractional remainder function R g is given by Thus we have R g (u) = R f (u + ) 2 = R f (u) f(u) R f (u + )du 2 R g (u) = R f (u) f(u) + And for u = this gives the shift property f(n + ) = (R f (u) f(u))du 2 f(n) f() + 2 f(u)du f(x)dx (2.) Therefore we see that the Ramanujan summation does not satisfy the usual translation property of convergent series. More generally let f O π and for Re(x) let g(u) = f(u + x). Then we have R f (u + x) R f (u + x + ) = f(u + x) = g(u) we deduce that R g (u) = R f (u + x) thus taking u = in this equation we get x+2 x+ f(n + x) = R f (x + ) This last integral can be evaluated by using which gives x+ R f (v)dv x+2 x+ Therefore we have f(n+x) = R f (x+)+ x+ x+ R f (v)dv = x+2 R f (v)dv x+ R f (v + )dv = x+ R f (v)dv x+ f(v)dv f(v)dv = R f (x) f(x)+ f(v)dv x+ Since R f (x + ) = R f () ϕ f (x) we get the general shift property f(n + x) = f(n) ϕ f (x) + x+ f(v)dv (2.2) f(v)dv (2.3)

46 2.. SOME ELEMENTARY PROPERTIES 29 If m is a positive integer then the shift property is simply m f(n + m) = f(n) f(n) + n= m+ f(x)dx Remark Let us consider a function f such that x f(x ) is in O π, we define R n f(n) by f(n) = f(n ) n By the shift property applied to x f(x ) we have f(n) = f() + f(n) + n n p f(x)dx Examples ) Let f(x) = x and H m = m k= k, we have R n + m = m+ n H m + x dx = γ H m + Log(m + ) (which is a special case of (.34) since H m = ψ(m + ) + γ). As an application, consider a rational function g(x) = M m= c m x + m such that M c m = m= then we are in a case of convergence for the series g(n) and we have Note that and m= M n= g(n) = M c m n + m = M m= M m= m= c A m x + m dx = lim A + c + m n + m + M c m n + m = M m= m= M m= c m H m + c m x + m dx M c m Log(m + ) m= c M m x + m dx = c m Log( + m) m=

47 3 CHAPTER 2. PROPERTIES OF THE RAMANUJAN SUMMATION Thus we get n= g(n) = M c m H m m= By summation by parts we obtain the classical result n= g(n) = c + c + c c c m m 2) For f(x) = Log(x) we get by (2.2) Log(n + x) = Log(Γ(x + )) + Log( 2π) + (x + )Log(x + ) x Let s have t >, since then we get arctan( t n ) = (Log(n + it) Log(n it)) 2i arctan( t n ) = R 2i ( Log(n + it) Log(n it)) With t = we get arctan(n) = = + it) Log(Γ( 2i Γ( it) ) + tlog( t 2 + ) + arctan(t) t R π 2 arctan( n ) = + i) Log(Γ( 2i Γ( i) ) + Log( 2) + π 2 Note also that we have arctan( t n ) t n = O( n ), thus we are in a case of 2 convergence and by (.33) we deduce that n= (arctan( t n ) t R n ) = arctan( t n ) γt + (arctan( t x ) t x )dx thus we get n= (arctan( t n ) t n ) = 2i Log(Γ( + it) Γ( it) ) γt

On a series of Ramanujan

On a series of Ramanujan On a series of Ramanujan Olivier Oloa To cite this version: Olivier Oloa. On a series of Ramanujan. Gems in Experimental Mathematics, pp.35-3,, . HAL Id: hal-55866 https://hal.archives-ouvertes.fr/hal-55866

More information

A remark on a theorem of A. E. Ingham.

A remark on a theorem of A. E. Ingham. A remark on a theorem of A. E. Ingham. K G Bhat, K Ramachandra To cite this version: K G Bhat, K Ramachandra. A remark on a theorem of A. E. Ingham.. Hardy-Ramanujan Journal, Hardy-Ramanujan Society, 2006,

More information

Some tight polynomial-exponential lower bounds for an exponential function

Some tight polynomial-exponential lower bounds for an exponential function Some tight polynomial-exponential lower bounds for an exponential function Christophe Chesneau To cite this version: Christophe Chesneau. Some tight polynomial-exponential lower bounds for an exponential

More information

Low frequency resolvent estimates for long range perturbations of the Euclidean Laplacian

Low frequency resolvent estimates for long range perturbations of the Euclidean Laplacian Low frequency resolvent estimates for long range perturbations of the Euclidean Laplacian Jean-Francois Bony, Dietrich Häfner To cite this version: Jean-Francois Bony, Dietrich Häfner. Low frequency resolvent

More information

Some Fun with Divergent Series

Some Fun with Divergent Series Some Fun with Divergent Series 1. Preliminary Results We begin by examining the (divergent) infinite series S 1 = 1 + 2 + 3 + 4 + 5 + 6 + = k=1 k S 2 = 1 2 + 2 2 + 3 2 + 4 2 + 5 2 + 6 2 + = k=1 k 2 (i)

More information

Axiom of infinity and construction of N

Axiom of infinity and construction of N Axiom of infinity and construction of N F Portal To cite this version: F Portal. Axiom of infinity and construction of N. 2015. HAL Id: hal-01162075 https://hal.archives-ouvertes.fr/hal-01162075 Submitted

More information

MOMENTS OF HYPERGEOMETRIC HURWITZ ZETA FUNCTIONS

MOMENTS OF HYPERGEOMETRIC HURWITZ ZETA FUNCTIONS MOMENTS OF HYPERGEOMETRIC HURWITZ ZETA FUNCTIONS ABDUL HASSEN AND HIEU D. NGUYEN Abstract. This paper investigates a generalization the classical Hurwitz zeta function. It is shown that many of the properties

More information

New estimates for the div-curl-grad operators and elliptic problems with L1-data in the half-space

New estimates for the div-curl-grad operators and elliptic problems with L1-data in the half-space New estimates for the div-curl-grad operators and elliptic problems with L1-data in the half-space Chérif Amrouche, Huy Hoang Nguyen To cite this version: Chérif Amrouche, Huy Hoang Nguyen. New estimates

More information

Synopsis of Complex Analysis. Ryan D. Reece

Synopsis of Complex Analysis. Ryan D. Reece Synopsis of Complex Analysis Ryan D. Reece December 7, 2006 Chapter Complex Numbers. The Parts of a Complex Number A complex number, z, is an ordered pair of real numbers similar to the points in the real

More information

DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS

DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS Issam Naghmouchi To cite this version: Issam Naghmouchi. DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS. 2010. HAL Id: hal-00593321 https://hal.archives-ouvertes.fr/hal-00593321v2

More information

Exact Comparison of Quadratic Irrationals

Exact Comparison of Quadratic Irrationals Exact Comparison of Quadratic Irrationals Phuc Ngo To cite this version: Phuc Ngo. Exact Comparison of Quadratic Irrationals. [Research Report] LIGM. 20. HAL Id: hal-0069762 https://hal.archives-ouvertes.fr/hal-0069762

More information

rama.tex; 21/03/2011; 0:37; p.1

rama.tex; 21/03/2011; 0:37; p.1 rama.tex; /03/0; 0:37; p. Multiple Gamma Function and Its Application to Computation of Series and Products V. S. Adamchik Department of Computer Science, Carnegie Mellon University, Pittsburgh, USA Abstract.

More information

A new simple recursive algorithm for finding prime numbers using Rosser s theorem

A new simple recursive algorithm for finding prime numbers using Rosser s theorem A new simple recursive algorithm for finding prime numbers using Rosser s theorem Rédoane Daoudi To cite this version: Rédoane Daoudi. A new simple recursive algorithm for finding prime numbers using Rosser

More information

Bernoulli Polynomials

Bernoulli Polynomials Chapter 4 Bernoulli Polynomials 4. Bernoulli Numbers The generating function for the Bernoulli numbers is x e x = n= B n n! xn. (4.) That is, we are to expand the left-hand side of this equation in powers

More information

The Mahler measure of trinomials of height 1

The Mahler measure of trinomials of height 1 The Mahler measure of trinomials of height 1 Valérie Flammang To cite this version: Valérie Flammang. The Mahler measure of trinomials of height 1. Journal of the Australian Mathematical Society 14 9 pp.1-4.

More information

Hook lengths and shifted parts of partitions

Hook lengths and shifted parts of partitions Hook lengths and shifted parts of partitions Guo-Niu Han To cite this version: Guo-Niu Han Hook lengths and shifted parts of partitions The Ramanujan Journal, 009, 9 p HAL Id: hal-00395690

More information

On the link between finite differences and derivatives of polynomials

On the link between finite differences and derivatives of polynomials On the lin between finite differences and derivatives of polynomials Kolosov Petro To cite this version: Kolosov Petro. On the lin between finite differences and derivatives of polynomials. 13 pages, 1

More information

Qualifying Exam Complex Analysis (Math 530) January 2019

Qualifying Exam Complex Analysis (Math 530) January 2019 Qualifying Exam Complex Analysis (Math 53) January 219 1. Let D be a domain. A function f : D C is antiholomorphic if for every z D the limit f(z + h) f(z) lim h h exists. Write f(z) = f(x + iy) = u(x,

More information

Math 259: Introduction to Analytic Number Theory More about the Gamma function

Math 259: Introduction to Analytic Number Theory More about the Gamma function Math 59: Introduction to Analytic Number Theory More about the Gamma function We collect some more facts about Γs as a function of a complex variable that will figure in our treatment of ζs and Ls, χ.

More information

On infinite permutations

On infinite permutations On infinite permutations Dmitri G. Fon-Der-Flaass, Anna E. Frid To cite this version: Dmitri G. Fon-Der-Flaass, Anna E. Frid. On infinite permutations. Stefan Felsner. 2005 European Conference on Combinatorics,

More information

Mathematics 324 Riemann Zeta Function August 5, 2005

Mathematics 324 Riemann Zeta Function August 5, 2005 Mathematics 324 Riemann Zeta Function August 5, 25 In this note we give an introduction to the Riemann zeta function, which connects the ideas of real analysis with the arithmetic of the integers. Define

More information

FORMAL TREATMENT OF RADIATION FIELD FLUCTUATIONS IN VACUUM

FORMAL TREATMENT OF RADIATION FIELD FLUCTUATIONS IN VACUUM FORMAL TREATMENT OF RADIATION FIELD FLUCTUATIONS IN VACUUM Frederic Schuller, Renaud Savalle, Michael Neumann-Spallart To cite this version: Frederic Schuller, Renaud Savalle, Michael Neumann-Spallart.

More information

Bernoulli polynomials

Bernoulli polynomials Bernoulli polynomials Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto February 2, 26 Bernoulli polynomials For k, the Bernoulli polynomial B k (x) is defined by ze xz

More information

Part IB. Complex Analysis. Year

Part IB. Complex Analysis. Year Part IB Complex Analysis Year 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2018 Paper 1, Section I 2A Complex Analysis or Complex Methods 7 (a) Show that w = log(z) is a conformal

More information

Case report on the article Water nanoelectrolysis: A simple model, Journal of Applied Physics (2017) 122,

Case report on the article Water nanoelectrolysis: A simple model, Journal of Applied Physics (2017) 122, Case report on the article Water nanoelectrolysis: A simple model, Journal of Applied Physics (2017) 122, 244902 Juan Olives, Zoubida Hammadi, Roger Morin, Laurent Lapena To cite this version: Juan Olives,

More information

Unfolding the Skorohod reflection of a semimartingale

Unfolding the Skorohod reflection of a semimartingale Unfolding the Skorohod reflection of a semimartingale Vilmos Prokaj To cite this version: Vilmos Prokaj. Unfolding the Skorohod reflection of a semimartingale. Statistics and Probability Letters, Elsevier,

More information

Confluence Algebras and Acyclicity of the Koszul Complex

Confluence Algebras and Acyclicity of the Koszul Complex Confluence Algebras and Acyclicity of the Koszul Complex Cyrille Chenavier To cite this version: Cyrille Chenavier. Confluence Algebras and Acyclicity of the Koszul Complex. Algebras and Representation

More information

Beat phenomenon at the arrival of a guided mode in a semi-infinite acoustic duct

Beat phenomenon at the arrival of a guided mode in a semi-infinite acoustic duct Beat phenomenon at the arrival of a guided mode in a semi-infinite acoustic duct Philippe GATIGNOL, Michel Bruneau, Patrick LANCELEUR, Catherine Potel To cite this version: Philippe GATIGNOL, Michel Bruneau,

More information

Computer Visualization of the Riemann Zeta Function

Computer Visualization of the Riemann Zeta Function Computer Visualization of the Riemann Zeta Function Kamal Goudjil To cite this version: Kamal Goudjil. Computer Visualization of the Riemann Zeta Function. 2017. HAL Id: hal-01441140 https://hal.archives-ouvertes.fr/hal-01441140

More information

Exercises for Part 1

Exercises for Part 1 MATH200 Complex Analysis. Exercises for Part Exercises for Part The following exercises are provided for you to revise complex numbers. Exercise. Write the following expressions in the form x + iy, x,y

More information

Sequences and Series of Functions

Sequences and Series of Functions Chapter 13 Sequences and Series of Functions These notes are based on the notes A Teacher s Guide to Calculus by Dr. Louis Talman. The treatment of power series that we find in most of today s elementary

More information

On Newton-Raphson iteration for multiplicative inverses modulo prime powers

On Newton-Raphson iteration for multiplicative inverses modulo prime powers On Newton-Raphson iteration for multiplicative inverses modulo prime powers Jean-Guillaume Dumas To cite this version: Jean-Guillaume Dumas. On Newton-Raphson iteration for multiplicative inverses modulo

More information

b-chromatic number of cacti

b-chromatic number of cacti b-chromatic number of cacti Victor Campos, Claudia Linhares Sales, Frédéric Maffray, Ana Silva To cite this version: Victor Campos, Claudia Linhares Sales, Frédéric Maffray, Ana Silva. b-chromatic number

More information

Fourier Series. 1. Review of Linear Algebra

Fourier Series. 1. Review of Linear Algebra Fourier Series In this section we give a short introduction to Fourier Analysis. If you are interested in Fourier analysis and would like to know more detail, I highly recommend the following book: Fourier

More information

Cutwidth and degeneracy of graphs

Cutwidth and degeneracy of graphs Cutwidth and degeneracy of graphs Benoit Kloeckner To cite this version: Benoit Kloeckner. Cutwidth and degeneracy of graphs. IF_PREPUB. 2009. HAL Id: hal-00408210 https://hal.archives-ouvertes.fr/hal-00408210v1

More information

Nel s category theory based differential and integral Calculus, or Did Newton know category theory?

Nel s category theory based differential and integral Calculus, or Did Newton know category theory? Nel s category theory based differential and integral Calculus, or Did Newton know category theory? Elemer Elad Rosinger To cite this version: Elemer Elad Rosinger. Nel s category theory based differential

More information

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1.

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1. MTH4101 CALCULUS II REVISION NOTES 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) 1.1 Introduction Types of numbers (natural, integers, rationals, reals) The need to solve quadratic equations:

More information

A new approach of the concept of prime number

A new approach of the concept of prime number A new approach of the concept of prime number Jamel Ghannouchi To cite this version: Jamel Ghannouchi. A new approach of the concept of prime number. 4 pages. 24. HAL Id: hal-3943 https://hal.archives-ouvertes.fr/hal-3943

More information

Chebyshev polynomials, quadratic surds and a variation of Pascal s triangle

Chebyshev polynomials, quadratic surds and a variation of Pascal s triangle Chebyshev polynomials, quadratic surds and a variation of Pascal s triangle Roland Bacher To cite this version: Roland Bacher. Chebyshev polynomials, quadratic surds and a variation of Pascal s triangle.

More information

Smart Bolometer: Toward Monolithic Bolometer with Smart Functions

Smart Bolometer: Toward Monolithic Bolometer with Smart Functions Smart Bolometer: Toward Monolithic Bolometer with Smart Functions Matthieu Denoual, Gilles Allègre, Patrick Attia, Olivier De Sagazan To cite this version: Matthieu Denoual, Gilles Allègre, Patrick Attia,

More information

NOTES ON RIEMANN S ZETA FUNCTION. Γ(z) = t z 1 e t dt

NOTES ON RIEMANN S ZETA FUNCTION. Γ(z) = t z 1 e t dt NOTES ON RIEMANN S ZETA FUNCTION DRAGAN MILIČIĆ. Gamma function.. Definition of the Gamma function. The integral Γz = t z e t dt is well-defined and defines a holomorphic function in the right half-plane

More information

Considering our result for the sum and product of analytic functions, this means that for (a 0, a 1,..., a N ) C N+1, the polynomial.

Considering our result for the sum and product of analytic functions, this means that for (a 0, a 1,..., a N ) C N+1, the polynomial. Lecture 3 Usual complex functions MATH-GA 245.00 Complex Variables Polynomials. Construction f : z z is analytic on all of C since its real and imaginary parts satisfy the Cauchy-Riemann relations and

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

III. Consequences of Cauchy s Theorem

III. Consequences of Cauchy s Theorem MTH6 Complex Analysis 2009-0 Lecture Notes c Shaun Bullett 2009 III. Consequences of Cauchy s Theorem. Cauchy s formulae. Cauchy s Integral Formula Let f be holomorphic on and everywhere inside a simple

More information

On size, radius and minimum degree

On size, radius and minimum degree On size, radius and minimum degree Simon Mukwembi To cite this version: Simon Mukwembi. On size, radius and minimum degree. Discrete Mathematics and Theoretical Computer Science, DMTCS, 2014, Vol. 16 no.

More information

Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) a n z n. n=0

Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) a n z n. n=0 Lecture 22 Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) Recall a few facts about power series: a n z n This series in z is centered at z 0. Here z can

More information

Methylation-associated PHOX2B gene silencing is a rare event in human neuroblastoma.

Methylation-associated PHOX2B gene silencing is a rare event in human neuroblastoma. Methylation-associated PHOX2B gene silencing is a rare event in human neuroblastoma. Loïc De Pontual, Delphine Trochet, Franck Bourdeaut, Sophie Thomas, Heather Etchevers, Agnes Chompret, Véronique Minard,

More information

Analysis of Boyer and Moore s MJRTY algorithm

Analysis of Boyer and Moore s MJRTY algorithm Analysis of Boyer and Moore s MJRTY algorithm Laurent Alonso, Edward M. Reingold To cite this version: Laurent Alonso, Edward M. Reingold. Analysis of Boyer and Moore s MJRTY algorithm. Information Processing

More information

SJÄLVSTÄNDIGA ARBETEN I MATEMATIK

SJÄLVSTÄNDIGA ARBETEN I MATEMATIK SJÄLVSTÄNDIGA ARBETEN I MATEMATIK MATEMATISKA INSTITUTIONEN, STOCKHOLMS UNIVERSITET Gamma function related to Pic functions av Saad Abed 25 - No 4 MATEMATISKA INSTITUTIONEN, STOCKHOLMS UNIVERSITET, 6 9

More information

Exercises for Part 1

Exercises for Part 1 MATH200 Complex Analysis. Exercises for Part Exercises for Part The following exercises are provided for you to revise complex numbers. Exercise. Write the following expressions in the form x+iy, x,y R:

More information

Completeness of the Tree System for Propositional Classical Logic

Completeness of the Tree System for Propositional Classical Logic Completeness of the Tree System for Propositional Classical Logic Shahid Rahman To cite this version: Shahid Rahman. Completeness of the Tree System for Propositional Classical Logic. Licence. France.

More information

Some explanations about the IWLS algorithm to fit generalized linear models

Some explanations about the IWLS algorithm to fit generalized linear models Some explanations about the IWLS algorithm to fit generalized linear models Christophe Dutang To cite this version: Christophe Dutang. Some explanations about the IWLS algorithm to fit generalized linear

More information

The Riemann Hypothesis Proof And The Quadrivium Theory

The Riemann Hypothesis Proof And The Quadrivium Theory The Riemann Hypothesis Proof And The Quadrivium Theory Thierno M. Sow To cite this version: Thierno M. Sow. The Riemann Hypothesis Proof And The Quadrivium Theory. 2017. HAL Id: hal-01513658 https://hal.archives-ouvertes.fr/hal-01513658

More information

A note on the computation of the fraction of smallest denominator in between two irreducible fractions

A note on the computation of the fraction of smallest denominator in between two irreducible fractions A note on the computation of the fraction of smallest denominator in between two irreducible fractions Isabelle Sivignon To cite this version: Isabelle Sivignon. A note on the computation of the fraction

More information

Computable priors sharpened into Occam s razors

Computable priors sharpened into Occam s razors Computable priors sharpened into Occam s razors David R. Bickel To cite this version: David R. Bickel. Computable priors sharpened into Occam s razors. 2016. HAL Id: hal-01423673 https://hal.archives-ouvertes.fr/hal-01423673v2

More information

Sound intensity as a function of sound insulation partition

Sound intensity as a function of sound insulation partition Sound intensity as a function of sound insulation partition S. Cvetkovic, R. Prascevic To cite this version: S. Cvetkovic, R. Prascevic. Sound intensity as a function of sound insulation partition. Journal

More information

11.8 Power Series. Recall the geometric series. (1) x n = 1+x+x 2 + +x n +

11.8 Power Series. Recall the geometric series. (1) x n = 1+x+x 2 + +x n + 11.8 1 11.8 Power Series Recall the geometric series (1) x n 1+x+x 2 + +x n + n As we saw in section 11.2, the series (1) diverges if the common ratio x > 1 and converges if x < 1. In fact, for all x (

More information

Math 229: Introduction to Analytic Number Theory Čebyšev (and von Mangoldt and Stirling)

Math 229: Introduction to Analytic Number Theory Čebyšev (and von Mangoldt and Stirling) ath 9: Introduction to Analytic Number Theory Čebyšev (and von angoldt and Stirling) Before investigating ζ(s) and L(s, χ) as functions of a complex variable, we give another elementary approach to estimating

More information

Math 141: Lecture 19

Math 141: Lecture 19 Math 141: Lecture 19 Convergence of infinite series Bob Hough November 16, 2016 Bob Hough Math 141: Lecture 19 November 16, 2016 1 / 44 Series of positive terms Recall that, given a sequence {a n } n=1,

More information

4 Uniform convergence

4 Uniform convergence 4 Uniform convergence In the last few sections we have seen several functions which have been defined via series or integrals. We now want to develop tools that will allow us to show that these functions

More information

Finite Volume for Fusion Simulations

Finite Volume for Fusion Simulations Finite Volume for Fusion Simulations Elise Estibals, Hervé Guillard, Afeintou Sangam To cite this version: Elise Estibals, Hervé Guillard, Afeintou Sangam. Finite Volume for Fusion Simulations. Jorek Meeting

More information

From Unstructured 3D Point Clouds to Structured Knowledge - A Semantics Approach

From Unstructured 3D Point Clouds to Structured Knowledge - A Semantics Approach From Unstructured 3D Point Clouds to Structured Knowledge - A Semantics Approach Christophe Cruz, Helmi Ben Hmida, Frank Boochs, Christophe Nicolle To cite this version: Christophe Cruz, Helmi Ben Hmida,

More information

On the longest path in a recursively partitionable graph

On the longest path in a recursively partitionable graph On the longest path in a recursively partitionable graph Julien Bensmail To cite this version: Julien Bensmail. On the longest path in a recursively partitionable graph. 2012. HAL Id:

More information

INTRODUCTION TO REAL ANALYTIC GEOMETRY

INTRODUCTION TO REAL ANALYTIC GEOMETRY INTRODUCTION TO REAL ANALYTIC GEOMETRY KRZYSZTOF KURDYKA 1. Analytic functions in several variables 1.1. Summable families. Let (E, ) be a normed space over the field R or C, dim E

More information

ζ (s) = s 1 s {u} [u] ζ (s) = s 0 u 1+sdu, {u} Note how the integral runs from 0 and not 1.

ζ (s) = s 1 s {u} [u] ζ (s) = s 0 u 1+sdu, {u} Note how the integral runs from 0 and not 1. Problem Sheet 3. From Theorem 3. we have ζ (s) = + s s {u} u+sdu, (45) valid for Res > 0. i) Deduce that for Res >. [u] ζ (s) = s u +sdu ote the integral contains [u] in place of {u}. ii) Deduce that for

More information

Dispersion relation results for VCS at JLab

Dispersion relation results for VCS at JLab Dispersion relation results for VCS at JLab G. Laveissiere To cite this version: G. Laveissiere. Dispersion relation results for VCS at JLab. Compton Scattering from Low to High Momentum Transfer, Mar

More information

On the Power Series Expansion of the Reciprocal Gamma Function

On the Power Series Expansion of the Reciprocal Gamma Function On the Power Series Expansion of the Reciprocal Gamma Function Lazhar Fekih-Ahmed To cite this version: Lazhar Fekih-Ahmed. On the Power Series Expansion of the Reciprocal Gamma Function. 24.

More information

A Simple Proof of P versus NP

A Simple Proof of P versus NP A Simple Proof of P versus NP Frank Vega To cite this version: Frank Vega. A Simple Proof of P versus NP. 2016. HAL Id: hal-01281254 https://hal.archives-ouvertes.fr/hal-01281254 Submitted

More information

Influence of a Rough Thin Layer on the Potential

Influence of a Rough Thin Layer on the Potential Influence of a Rough Thin Layer on the Potential Ionel Ciuperca, Ronan Perrussel, Clair Poignard To cite this version: Ionel Ciuperca, Ronan Perrussel, Clair Poignard. Influence of a Rough Thin Layer on

More information

1.5 Approximate Identities

1.5 Approximate Identities 38 1 The Fourier Transform on L 1 (R) which are dense subspaces of L p (R). On these domains, P : D P L p (R) and M : D M L p (R). Show, however, that P and M are unbounded even when restricted to these

More information

Fourth Week: Lectures 10-12

Fourth Week: Lectures 10-12 Fourth Week: Lectures 10-12 Lecture 10 The fact that a power series p of positive radius of convergence defines a function inside its disc of convergence via substitution is something that we cannot ignore

More information

Numerical Exploration of the Compacted Associated Stirling Numbers

Numerical Exploration of the Compacted Associated Stirling Numbers Numerical Exploration of the Compacted Associated Stirling Numbers Khaled Ben Letaïef To cite this version: Khaled Ben Letaïef. Numerical Exploration of the Compacted Associated Stirling Numbers. 2017.

More information

A Context free language associated with interval maps

A Context free language associated with interval maps A Context free language associated with interval maps M Archana, V Kannan To cite this version: M Archana, V Kannan. A Context free language associated with interval maps. Discrete Mathematics and Theoretical

More information

Easter bracelets for years

Easter bracelets for years Easter bracelets for 5700000 years Denis Roegel To cite this version: Denis Roegel. Easter bracelets for 5700000 years. [Research Report] 2014. HAL Id: hal-01009457 https://hal.inria.fr/hal-01009457

More information

Solving a quartic equation and certain equations with degree n

Solving a quartic equation and certain equations with degree n Solving a quartic equation and certain equations with degree n Abdeljalil Saghe To cite this version: Abdeljalil Saghe. Solving a quartic equation and certain equations with degree n. EUROPEAN JOURNAL

More information

On Solving Aircraft Conflict Avoidance Using Deterministic Global Optimization (sbb) Codes

On Solving Aircraft Conflict Avoidance Using Deterministic Global Optimization (sbb) Codes On Solving Aircraft Conflict Avoidance Using Deterministic Global Optimization (sbb) Codes Sonia Cafieri, Frédéric Messine, Ahmed Touhami To cite this version: Sonia Cafieri, Frédéric Messine, Ahmed Touhami.

More information

Multiple sensor fault detection in heat exchanger system

Multiple sensor fault detection in heat exchanger system Multiple sensor fault detection in heat exchanger system Abdel Aïtouche, Didier Maquin, Frédéric Busson To cite this version: Abdel Aïtouche, Didier Maquin, Frédéric Busson. Multiple sensor fault detection

More information

The core of voting games: a partition approach

The core of voting games: a partition approach The core of voting games: a partition approach Aymeric Lardon To cite this version: Aymeric Lardon. The core of voting games: a partition approach. International Game Theory Review, World Scientific Publishing,

More information

Stickelberger s congruences for absolute norms of relative discriminants

Stickelberger s congruences for absolute norms of relative discriminants Stickelberger s congruences for absolute norms of relative discriminants Georges Gras To cite this version: Georges Gras. Stickelberger s congruences for absolute norms of relative discriminants. Journal

More information

Vibro-acoustic simulation of a car window

Vibro-acoustic simulation of a car window Vibro-acoustic simulation of a car window Christophe Barras To cite this version: Christophe Barras. Vibro-acoustic simulation of a car window. Société Française d Acoustique. Acoustics 12, Apr 12, Nantes,

More information

Math 185 Fall 2015, Sample Final Exam Solutions

Math 185 Fall 2015, Sample Final Exam Solutions Math 185 Fall 2015, Sample Final Exam Solutions Nikhil Srivastava December 12, 2015 1. True or false: (a) If f is analytic in the annulus A = {z : 1 < z < 2} then there exist functions g and h such that

More information

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder.

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder. Lent 29 COMPLEX METHODS G. Taylor A star means optional and not necessarily harder. Conformal maps. (i) Let f(z) = az + b, with ad bc. Where in C is f conformal? cz + d (ii) Let f(z) = z +. What are the

More information

PRIME NUMBER THEOREM

PRIME NUMBER THEOREM PRIME NUMBER THEOREM RYAN LIU Abstract. Prime numbers have always been seen as the building blocks of all integers, but their behavior and distribution are often puzzling. The prime number theorem gives

More information

Unbiased minimum variance estimation for systems with unknown exogenous inputs

Unbiased minimum variance estimation for systems with unknown exogenous inputs Unbiased minimum variance estimation for systems with unknown exogenous inputs Mohamed Darouach, Michel Zasadzinski To cite this version: Mohamed Darouach, Michel Zasadzinski. Unbiased minimum variance

More information

On Symmetric Norm Inequalities And Hermitian Block-Matrices

On Symmetric Norm Inequalities And Hermitian Block-Matrices On Symmetric Norm Inequalities And Hermitian lock-matrices Antoine Mhanna To cite this version: Antoine Mhanna On Symmetric Norm Inequalities And Hermitian lock-matrices 015 HAL Id: hal-0131860

More information

Nonlocal computational methods applied to composites structures

Nonlocal computational methods applied to composites structures Nonlocal computational methods applied to composites structures Norbert Germain, Frédéric Feyel, Jacques Besson To cite this version: Norbert Germain, Frédéric Feyel, Jacques Besson. Nonlocal computational

More information

Quasi-periodic solutions of the 2D Euler equation

Quasi-periodic solutions of the 2D Euler equation Quasi-periodic solutions of the 2D Euler equation Nicolas Crouseilles, Erwan Faou To cite this version: Nicolas Crouseilles, Erwan Faou. Quasi-periodic solutions of the 2D Euler equation. Asymptotic Analysis,

More information

Math Homework 2

Math Homework 2 Math 73 Homework Due: September 8, 6 Suppose that f is holomorphic in a region Ω, ie an open connected set Prove that in any of the following cases (a) R(f) is constant; (b) I(f) is constant; (c) f is

More information

On Symmetric Norm Inequalities And Hermitian Block-Matrices

On Symmetric Norm Inequalities And Hermitian Block-Matrices On Symmetric Norm Inequalities And Hermitian lock-matrices Antoine Mhanna To cite this version: Antoine Mhanna On Symmetric Norm Inequalities And Hermitian lock-matrices 016 HAL Id: hal-0131860

More information

Bernoulli Numbers and their Applications

Bernoulli Numbers and their Applications Bernoulli Numbers and their Applications James B Silva Abstract The Bernoulli numbers are a set of numbers that were discovered by Jacob Bernoulli (654-75). This set of numbers holds a deep relationship

More information

VII.8. The Riemann Zeta Function.

VII.8. The Riemann Zeta Function. VII.8. The Riemann Zeta Function VII.8. The Riemann Zeta Function. Note. In this section, we define the Riemann zeta function and discuss its history. We relate this meromorphic function with a simple

More information

Notes for Expansions/Series and Differential Equations

Notes for Expansions/Series and Differential Equations Notes for Expansions/Series and Differential Equations In the last discussion, we considered perturbation methods for constructing solutions/roots of algebraic equations. Three types of problems were illustrated

More information

The FLRW cosmological model revisited: relation of the local time with th e local curvature and consequences on the Heisenberg uncertainty principle

The FLRW cosmological model revisited: relation of the local time with th e local curvature and consequences on the Heisenberg uncertainty principle The FLRW cosmological model revisited: relation of the local time with th e local curvature and consequences on the Heisenberg uncertainty principle Nathalie Olivi-Tran, Paul M Gauthier To cite this version:

More information

Comments on the method of harmonic balance

Comments on the method of harmonic balance Comments on the method of harmonic balance Ronald Mickens To cite this version: Ronald Mickens. Comments on the method of harmonic balance. Journal of Sound and Vibration, Elsevier, 1984, 94 (3), pp.456-460.

More information

Problems for MATH-6300 Complex Analysis

Problems for MATH-6300 Complex Analysis Problems for MATH-63 Complex Analysis Gregor Kovačič December, 7 This list will change as the semester goes on. Please make sure you always have the newest version of it.. Prove the following Theorem For

More information

Part IB. Complex Methods. Year

Part IB. Complex Methods. Year Part IB Year 218 217 216 215 214 213 212 211 21 29 28 27 26 25 24 23 22 21 218 Paper 1, Section I 2A Complex Analysis or 7 (a) Show that w = log(z) is a conformal mapping from the right half z-plane, Re(z)

More information

Soundness of the System of Semantic Trees for Classical Logic based on Fitting and Smullyan

Soundness of the System of Semantic Trees for Classical Logic based on Fitting and Smullyan Soundness of the System of Semantic Trees for Classical Logic based on Fitting and Smullyan Shahid Rahman To cite this version: Shahid Rahman. Soundness of the System of Semantic Trees for Classical Logic

More information

On sl3 KZ equations and W3 null-vector equations

On sl3 KZ equations and W3 null-vector equations On sl3 KZ equations and W3 null-vector equations Sylvain Ribault To cite this version: Sylvain Ribault. On sl3 KZ equations and W3 null-vector equations. Conformal Field Theory, Integrable Models, and

More information

About partial probabilistic information

About partial probabilistic information About partial probabilistic information Alain Chateauneuf, Caroline Ventura To cite this version: Alain Chateauneuf, Caroline Ventura. About partial probabilistic information. Documents de travail du Centre

More information

Analysis in weighted spaces : preliminary version

Analysis in weighted spaces : preliminary version Analysis in weighted spaces : preliminary version Frank Pacard To cite this version: Frank Pacard. Analysis in weighted spaces : preliminary version. 3rd cycle. Téhéran (Iran, 2006, pp.75.

More information