Theta Functions and Weighted Theta Functions of Euclidean Lattices, with Some Applications

Total Page:16

File Type:pdf, Size:1020Kb

Theta Functions and Weighted Theta Functions of Euclidean Lattices, with Some Applications Theta functions and weighted theta functions of Euclidean lattices, with some applications Noam D. Elkies1 March, 2009 0. Introduction and overview [...] 1. Lattices in Rn: basic terminology, notations, and examples By “Euclidean space” of dimension n we mean a real vector space of dimension n, equipped with a positive-definite inner product , . We usually call such a space “Rn” even when there is no distinguished choiceh· of·i coordinates. A lattice in Rn is a discrete co-compact subgroup L Rn, that is, a discrete sub- ⊂ group such that the quotient Rn/L is compact (and thus necessarily homeomorphic with the n-torus (R/Z)n). As an abstract group L is thus isomorphic with the free abelian group Zn of rank n. Therefore L is determined by the images, call them v ,...,v , of the standard generators of Zn under a group isomorphism Zn ∼ L. 1 n → We say the vi generate, or are generators of, L: each vector in L can be written as n a v for some unique integers a ,...,a . Vectors v ,...,v Rn generate i=1 i i 1 n 1 n ∈ a lattice if and only if they constitute an R-linear basis for Rn, and then L is the ZP-span of this basis. For instance, the Z-span of the standard orthonormal basis n n e1,...,en of R is the lattice Z . This more concrete definition is better suited for explicit computation, but less canonical because most lattices have no canonical choice of generators even up to isometries of Rn. An equivalent approach defines L as a free abelian group of rank n with a positive- definite symmetric pairing; the Euclidean space is then recovered as L Z R, ⊗ which inherits a symmetric bilinear pairing from L. With this approach we must be careful about the definition of a “positive-definite pairing” so that the extension to L Z R remains positive-definite. For most of the lattices we consider, the pairing takes⊗ values in Q, and then the usual definition for inner products suffices: v L, v = 0 = v, v > 0. (1) ∈ 6 ⇒ h i 1Department of Mathematics, Harvard University, Cambridge, MA 02138 USA; e-mail: ([email protected]). Supported in part by NSF grant DMS-0501029. DRAFT1 But for a general R-valued pairing, (1) guarantees only that the pairing on L Z R ⊗ is positive semidefinite, not necessarily positive definite: a standard counterexam- ple is L = Z2 with v, w =(v tv )(w tw ) h i 1 − 2 1 − 2 for some irrational t, when the nonzero vector x = (t, 1) L Z R satisfies ∈ ⊗ x,x = 0. For this general case we say the pairing , is “positive-definite” if h i h· ·i it has a positive-definite Gram matrix A. The Gram matrix of , with respect to h· ·i generators v ,...,v of L is the symmetric matrix with (i,j) entry A = v , v . 1 n ij h i ji The Gram matrix depends on the choice of generators, but if w1,...,wn are any n other generators then each wk = i=1 bikvi for some integers bik forming a matrix B of determinant 1, and the Gram matrix with respect to w ,...,w is BTAB, ± P 1 n which is positive-definite if and only if A is. If v = m v + + m v for some 1 1 ··· n n m =(m ,...,m ) Zn then v, v is the value at m of the quadratic form 1 n ∈ h i n n n n (m,AmT) = A m m = v , v m m , (2) ij i j h i ji i j Xi=1 Xj=1 Xi=1 Xj=1 a homogeneous polynomial of degree 2 in n variables. We next recall some further invariants2 of L and the corresponding properties of the Gram matrix. The discriminant of L is disc L = (Vol(Rn/L))2 = det A; (3) in particular, det A is independent of the choice of generators, which we can also verify directly: if det B = 1 then det A = det BTAB. The volume √disc L of ± the torus Rn/L is known as the covolume of L. A lattice of discriminant 1 is said to be unimodular. The dual lattice L∗ is defined by n L∗ = v∗ R v L, v, v′ Z . (4) { ∈ | ∀ ∈ h i ∈ } If L is the Z-span of v1,...,vn with Gram matrix A, then L∗ is the Z-span of the T 1 dual basis v1∗,...,vn∗ with Gram matrix (A )− ; in particular 1 disc L∗ = (disc L)− . (5) We say L is integral if v, v Z for all v, v L; equivalently, if L L . In this h ′i ∈ ′ ∈ ⊆ ∗ case L∗/L is a finite group with #(L∗/L) = disc(L). In particular, L = L∗ if and only if L is integral and unimodular; we naturally say such a lattice is self-dual. 2These are “invariant” in the sense that they do not depend on a choice of generators, nor on other extrinsic features such as an embedding in Rn. The Gram matrix depends on the choice of generators, and is thus not an invariant: different Gram matrices may give rise to the same lattice. DRAFT2 The basic example of a lattice is Z with the pairing x, y = xy; this lattice is self- h i dual, and is the unique unimodular lattice in the 1-dimensional Euclidean space R. More generally, for every real D > 0 there is a unique lattice of discriminant D in R, namely D1/2Z, or equivalently Z with the pairing x, y = Dxy instead; h i this lattice is integral if and only if D Z. ∈ We next give some constructions of new lattices from old. A subgroup L′ of finite n n index in a lattice L in R is itself a lattice in R whose dual contains L∗. Com- paring covolumes, we see that [L′∗ : L∗]=[L : L′]; in fact much more is true: the n inner product on R induces a perfect pairing (L′∗/L∗) (L/L′) Q/Z on the quotient subgroups, so in particular these subgroups are× isomorphic,→ albeit not in general canonically isomorphic. If v ,...,v generate L and w ,...,w generate L , then [L : L ] = det B , 1 n 1 n ′ ′ | | where B is the integer matrix formed by the coefficients bik of the expansions n wk = i=1 bikvi. If A is the Gram matrix of L with respect to the vi, then as before det BTAB is the Gram matrix of L with respect to the w . Therefore P ′ k 2 disc L′ =[L : L′] disc L, (6) an identity that can also be obtained from the first equality in (3) because n n Vol(R /L′)=[L : L′] Vol(R /L). If L is integral then so is L′. In the other direction, if L′ is integral, let G be any set of generators of L/L′, and G˜ an arbitrary lift of G to a subset of L; then L is integral if and only if L L and g,˜ g˜ Z for all g,˜ g˜ G˜. ⊂ ′∗ h ′i ∈ ′ ∈ n1 n2 If n = n1 + n2 and L1 and L2 are lattices in R and R respectively, then the direct sum L = L L := (v , v ) v L , v L (7) 1 ⊕ 2 { 1 2 | 1 ∈ 1 2 ∈ 2} n is a lattice in R of discriminant disc(L1) disc(L2); if Ai (i = 1, 2) is a Gram matrix for Li then L has a block-diagonal Gram matrix with blocks A1, A2. The dual of L L is L L . The direct sum L is integral if and only if L and 1 ⊕ 2 1∗ ⊕ 2∗ 1 L2 are integral, and self-dual if and only if L1 and L2 are self-dual. For example, Z2 = Z Z R2 is self-dual; iterating the construction yields the self-dual lattice ⊕ ⊂ Zn Rn for each n =1, 2, 3,.... ⊂ Of course once n > 1 this self-dual lattice is no longer unique, because we can obtain uncountably many others by applying an orthogonal linear transformation to Rn; but the resulting lattices are isomorphic. It is known that for n 7 every ≤ self-dual lattice is isomorphic with Zn (see Proposition 7 below for one approach to this result), and for every n there are only finitely many isomorphism classes. DRAFT3 2 But for large n the number of isomorphism classes grows rapidly, exceeding (cn)n for some positive c. We conclude this section by constructing the self-dual lattice E R8 and showing that E = Z8. 8 ⊂ 8 6∼ For n =1, 2, 3,..., define a lattice D Rn by n ∈ n D = (x ,...,x ) Zn : x 0 mod 2 , (8) n 1 n ∈ i ≡ i=1 X 3 n a sublattice of Z of index 2. An explicit Z-basis consists of ei + ei+1 for 0 < n i < n together with 2e1. The dual lattice Dn∗ is the union of Z and the translate of Zn by the half-lattice vector n 1 h := (1, 1,..., 1)/2 = e . (9) 2 i Xi=1 The 4-element quotient group Dn∗ /Dn is cyclic if n is odd, and of exponent 2 when n is even. In the latter case, 2h D , so ∈ n D+ := D (D + h) (10) n n ∪ n + n is a lattice, which is unimodular because [Dn : Dn]=2=[Z : Dn]. An explicit basis consists of e + e for 0 <i<n 1 together with 2e and h.
Recommended publications
  • Riemann Sums Fundamental Theorem of Calculus Indefinite
    Riemann Sums Partition P = {x0, x1, . , xn} of an interval [a, b]. ck ∈ [xk−1, xk] Pn R(f, P, a, b) = k=1 f(ck)∆xk As the widths ∆xk of the subintervals approach 0, the Riemann Sums hopefully approach a limit, the integral of f from a to b, written R b a f(x) dx. Fundamental Theorem of Calculus Theorem 1 (FTC-Part I). If f is continuous on [a, b], then F (x) = R x 0 a f(t) dt is defined on [a, b] and F (x) = f(x). Theorem 2 (FTC-Part II). If f is continuous on [a, b] and F (x) = R R b b f(x) dx on [a, b], then a f(x) dx = F (x) a = F (b) − F (a). Indefinite Integrals Indefinite Integral: R f(x) dx = F (x) if and only if F 0(x) = f(x). In other words, the terms indefinite integral and antiderivative are synonymous. Every differentiation formula yields an integration formula. Substitution Rule For Indefinite Integrals: If u = g(x), then R f(g(x))g0(x) dx = R f(u) du. For Definite Integrals: R b 0 R g(b) If u = g(x), then a f(g(x))g (x) dx = g(a) f( u) du. Steps in Mechanically Applying the Substitution Rule Note: The variables do not have to be called x and u. (1) Choose a substitution u = g(x). du (2) Calculate = g0(x). dx du (3) Treat as if it were a fraction, a quotient of differentials, and dx du solve for dx, obtaining dx = .
    [Show full text]
  • The Definite Integrals of Cauchy and Riemann
    Ursinus College Digital Commons @ Ursinus College Transforming Instruction in Undergraduate Analysis Mathematics via Primary Historical Sources (TRIUMPHS) Summer 2017 The Definite Integrals of Cauchy and Riemann Dave Ruch [email protected] Follow this and additional works at: https://digitalcommons.ursinus.edu/triumphs_analysis Part of the Analysis Commons, Curriculum and Instruction Commons, Educational Methods Commons, Higher Education Commons, and the Science and Mathematics Education Commons Click here to let us know how access to this document benefits ou.y Recommended Citation Ruch, Dave, "The Definite Integrals of Cauchy and Riemann" (2017). Analysis. 11. https://digitalcommons.ursinus.edu/triumphs_analysis/11 This Course Materials is brought to you for free and open access by the Transforming Instruction in Undergraduate Mathematics via Primary Historical Sources (TRIUMPHS) at Digital Commons @ Ursinus College. It has been accepted for inclusion in Analysis by an authorized administrator of Digital Commons @ Ursinus College. For more information, please contact [email protected]. The Definite Integrals of Cauchy and Riemann David Ruch∗ August 8, 2020 1 Introduction Rigorous attempts to define the definite integral began in earnest in the early 1800s. A major motivation at the time was the search for functions that could be expressed as Fourier series as follows: 1 a0 X f (x) = + (a cos (kw) + b sin (kw)) where the coefficients are: (1) 2 k k k=1 1 Z π 1 Z π 1 Z π a0 = f (t) dt; ak = f (t) cos (kt) dt ; bk = f (t) sin (kt) dt. 2π −π π −π π −π P k Expanding a function as an infinite series like this may remind you of Taylor series ckx from introductory calculus, except that the Fourier coefficients ak; bk are defined by definite integrals and sine and cosine functions are used instead of powers of x.
    [Show full text]
  • On the Approximation of Riemann-Liouville Integral by Fractional Nabla H-Sum and Applications L Khitri-Kazi-Tani, H Dib
    On the approximation of Riemann-Liouville integral by fractional nabla h-sum and applications L Khitri-Kazi-Tani, H Dib To cite this version: L Khitri-Kazi-Tani, H Dib. On the approximation of Riemann-Liouville integral by fractional nabla h-sum and applications. 2016. hal-01315314 HAL Id: hal-01315314 https://hal.archives-ouvertes.fr/hal-01315314 Preprint submitted on 12 May 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. On the approximation of Riemann-Liouville integral by fractional nabla h-sum and applications L. Khitri-Kazi-Tani∗ H. Dib y Abstract First of all, in this paper, we prove the convergence of the nabla h- sum to the Riemann-Liouville integral in the space of continuous functions and in some weighted spaces of continuous functions. The connection with time scales convergence is discussed. Secondly, the efficiency of this approximation is shown through some Cauchy fractional problems with singularity at the initial value. The fractional Brusselator system is solved as a practical case. Keywords. Riemann-Liouville integral, nabla h-sum, fractional derivatives, fractional differential equation, time scales convergence MSC (2010). 26A33, 34A08, 34K28, 34N05 1 Introduction The numerous applications of fractional calculus in the mathematical modeling of physical, engineering, economic and chemical phenomena have contributed to the rapidly growing of this theory [12, 19, 21, 18], despite the discrepancy on definitions of the fractional operators leading to nonequivalent results [6].
    [Show full text]
  • Using the TI-89 to Find Riemann Sums
    Using the TI-89 to find Riemann sums Z b If function f is continuous on interval [a, b], f(x) dx exists and can be approximated a using either of the Riemann sums n n X X f(xi)∆x or f(xi−1)∆x i=1 i=1 (b−a) where ∆x = n and n is the number of subintervals chosen. The first of these Riemann sums evaluates function f at the right endpoint of each subinterval; the second evaluates at the left endpoint of each subinterval. n X P To evaluate f(xi) using the TI-89, go to F3 Calc and select 4: ( sum i=1 The command line should then be completed in the following form: P (f(xi), i, 1, n) The actual Riemann sum is then determined by multiplying this ans by ∆x (or incorpo- rating this multiplication into the same command line.) [Warning: Be sure to set the MODE as APPROXIMATE in this case. Otherwise, the calculator will spend an inordinate amount of time attempting to express each term of the summation in exact symbolic form.] Z 4 √ Example: To approximate 1 + x3 dx using Riemann sums with n = 100 subinter- 2 b−a 2 i vals, note first that ∆x = n = 100 = .02. Also xi = 2 + i∆x = 2 + 50 . So the right endpoint approximation will be found by entering √ P( (2 + (1 + i/50)∧3), i, 1, 100) × .02 which gives 10.7421. This is an overestimate, since the function is increasing on the given interval. To find the left endpoint approximation, replace i by (i − 1) in the square root part of the command.
    [Show full text]
  • Fractional Calculus
    Generalised Fractional Calculus Penelope Drastik Supervised by Marianito Rodrigo September 2018 Outline 1. Integration 2. Fractional Calculus 3. My Research Riemann sum: P tagged partition, f :[a; b] ! R n X S(f ; P) = f (ti )(xi − xi−1) i=1 The Riemann sum Partition of [a; b]: Non-overlapping intervals which cover [a; b] a = x0 < x1 < ··· < xi−1 < xi < ··· xn = b Tagged partition of [a; b]: Intervals in partition paired with tag points n P = f([xi−1; xi ]; ti )gi=1 The Riemann sum Partition of [a; b]: Non-overlapping intervals which cover [a; b] a = x0 < x1 < ··· < xi−1 < xi < ··· xn = b Tagged partition of [a; b]: Intervals in partition paired with tag points n P = f([xi−1; xi ]; ti )gi=1 Riemann sum: P tagged partition, f :[a; b] ! R n X S(f ; P) = f (ti )(xi − xi−1) i=1 The Riemann integral R b a f (x)dx = A means that: For all " > 0, there exists δ" > 0 such that if a tagged partition P satisfies 0 < xi − xi−1 < δ" for i = 1;:::; n then jS(f ; P) − Aj < " The Generalised Riemann integral R b a f (x)dx = A means that: For all " > 0, there exists a strictly positive function δ" :[a; b] ! R+ such that if a tagged partition P satisfies ti 2 [xi−1; xi ] ⊆ [ti − δ(ti ); ti + δ(ti )] for i = 1;:::; n then jS(f ; P) − Aj < " Riemann-Stieltjes integral: R b a f (x)dα(x) = A means that: For all " > 0, there exists δ" > 0 such that if a tagged partition P satisfies 0 < xi − xi−1 < δ" for i = 1;:::; n then jS(f ; P; α) − Aj < " The Riemann-Stieltjes integral Riemann-Stieltjes sum of f : Integrator α : I ! R, partition P n X S(f ; P; α) = f (ti )[α(xi
    [Show full text]
  • 1.1 Limits: an Informal View 4.1 Areas and Sums
    Chapter 4 Integrals from Calculus: Concepts & Computation by David Betounes and Mylan Redfern | 2016 Copyright | 9781524917692 Property of Kendall Hunt Publishing 4.1 Areas and Sums 257 4 Integrals Calculus Concepts & Computation 1.1 Limits: An Informal View 4.1 Areas and Sums > with(code_ch4,circle,parabola);with(code_ch1sec1); [circle, parabola] [polygonlimit, secantlimit] This chapter begins our study of the integral calculus, which is the counter-part to the differential calculus you learned in Chapters 1–3. The topic of integrals, otherwise known as antiderivatives, was introduced in Section 3.7, and you should The General Area Problem read that discussion before continuing here. A major application of antiderivatives, or integrals, is the measurement of areas of planar regions D. In fact, a principal motive behind the invention of the integral calculus was to solve the area problem. See Figure 4.1.1. D Before we learn how to measure areas of such general regions D, it is best to think about the areas of simple regions, and, indeed, reflect on the very notion of what is meant by “area.” This we discuss here. Then, in the next two sections, Sections 4.2 and 4.3 , we look at the details of measuring areas of regions “beneath the graphs of continuous functions.” Then in Section 5.1 we tackle the task of finding area of more complicated regions, such as the region D in Figure 4.4.1. We have intuitive notions about what is meant by the area of a region. It is a positive Find the area Figure 4.1.1: number A which somehow measures the “largeness” of the region and enables us of the region D bounded by a to compare regions with different shapes.
    [Show full text]
  • Evaluation of Engineering & Mathematics Majors' Riemann
    Paper ID #14461 Evaluation of Engineering & Mathematics Majors’ Riemann Integral Defini- tion Knowledge by Using APOS Theory Dr. Emre Tokgoz, Quinnipiac University Emre Tokgoz is currently an Assistant Professor of Industrial Engineering at Quinnipiac University. He completed a Ph.D. in Mathematics and a Ph.D. in Industrial and Systems Engineering at the University of Oklahoma. His pedagogical research interest includes technology and calculus education of STEM majors. He worked on an IRB approved pedagogical study to observe undergraduate and graduate mathe- matics and engineering students’ calculus and technology knowledge in 2011. His other research interests include nonlinear optimization, financial engineering, facility allocation problem, vehicle routing prob- lem, solar energy systems, machine learning, system design, network analysis, inventory systems, and Riemannian geometry. c American Society for Engineering Education, 2016 Evaluation of Engineering & Mathematics Majors' Riemann Integral Definition Knowledge by Using APOS Theory In this study senior undergraduate and graduate mathematics and engineering students’ conceptual knowledge of Riemann’s definite integral definition is observed by using APOS (Action-Process- Object-Schema) theory. Seventeen participants of this study were either enrolled or recently completed (i.e. 1 week after the course completion) a Numerical Methods or Analysis course at a large Midwest university during a particular semester in the United States. Each participant was asked to complete a questionnaire consisting of calculus concept questions and interviewed for further investigation of the written responses to the questionnaire. The research question is designed to understand students’ ability to apply Riemann’s limit-sum definition to calculate the definite integral of a specific function. Qualitative (participants’ interview responses) and quantitative (statistics used after applying APOS theory) results are presented in this work by using the written questionnaire and video recorded interview responses.
    [Show full text]
  • A Discrete Method to Solve Fractional Optimal Control Problems
    A Discrete Method to Solve Fractional Optimal Control Problems∗ Ricardo Almeida Delfim F. M. Torres [email protected] [email protected] Center for Research and Development in Mathematics and Applications (CIDMA) Department of Mathematics, University of Aveiro, 3810–193 Aveiro, Portugal Abstract We present a method to solve fractional optimal control problems, where the dynamic depends on integer and Caputo fractional derivatives. Our approach consists to approximate the initial fractional order problem with a new one that involves integer derivatives only. The latter problem is then discretized, by application of finite differences, and solved numerically. We illustrate the effectiveness of the procedure with an example. Mathematics Subject Classification 2010: 26A33, 49M25. Keywords: fractional calculus, fractional optimal control, direct methods. 1 Introduction The fractional calculus deals with differentiation and integration of arbitrary (noninteger) order [15]. It has received an increasing interest due to the fact that fractional operators are defined by natural phenomena [3]. A particularly interesting, and very active, research area is that of the fractional optimal control, where the dynamic control system involves not only integer order derivatives but fractional operators as well [9, 14]. Such fractional problems are difficult to solve and numerical methods are often applied, which have proven to be efficient and reliable [1, 4, 5, 8, 13]. Typically, using an approximation for the fractional operators, the fractional optimal control problem is rewritten arXiv:1403.5060v2 [math.OC] 23 Oct 2016 into a new one, that depends on integer derivatives only [2, 12]. Then, using necessary optimality conditions, the problem is reduced to a system of ordinary differential equations and, by finding its solution, one approximates the solution to the original fractional problem [12].
    [Show full text]
  • The Generalized Riemann Integral Robert M
    AMS / MAA THE CARUS MATHEMATICAL MONOGRAPHS VOL AMS / MAA THE CARUS MATHEMATICAL MONOGRAPHS VOL 20 20 The Generalized Riemann Integral Robert M. McLeod The Generalized Riemann Integral The Generalized The Generalized Riemann Integral is addressed to persons who already have an acquaintance with integrals they wish to extend and to the teachers of generations of students to come. The organization of the Riemann Integral work will make it possible for the rst group to extract the principal results without struggling through technical details which they may nd formidable or extraneous to their purposes. The technical level starts low at the opening of each chapter. Thus, readers may follow Robert M. McLeod each chapter as far as they wish and then skip to the beginning of the next. To readers who do wish to see all the details of the arguments, they are given. The generalized Riemann integral can be used to bring the full power of the integral within the reach of many who, up to now, haven't gotten a glimpse of such results as monotone and dominated conver- gence theorems. As its name hints, the generalized Riemann integral is de ned in terms of Riemann sums. The path from the de nition to theorems exhibiting the full power of the integral is direct and short. AMS / MAA PRESS 4-color Process 290 pages spine: 9/16" finish size: 5.5" X 8.5" 50 lb stock 10.1090/car/020 THE GENERALIZED RIEMANN INTEGRAL By ROBERT M. McLEOD THE CARUS MATHEMATICAL MONOGRAPHS Published by THE MATHEMATICAL ASSOCIATION OF AMERICA Committee on Publications E.
    [Show full text]
  • RIEMANN-STIELTJES INTEGRALS. Given Bounded Functions
    RIEMANN-STIELTJES INTEGRALS. Given bounded functions f; g :[a; b] ! R and a partition P = fx0 = a; x1; : : : ; xn = bg of [a; b], and a `tagging' tk 2 [xk−1; xk], form the Riemann- Stieltjes sum for the tagged partition P ∗: n ∗ X Sg(f; P ) = f(tk)[g(xk) − g(xk−1)]: k=1 If the limit of these sums (as the mesh jjP jj ! 0) exists, we set: Z b ∗ fdg = lim Sg(f; P ): a jjP jj!0 R b Theorem 1. If f 2 C[a; b] and g 2 BV [a; b], a fdg exists. Proof. If is enough to assume g is increasing (why?) Given a partition P , form the Darboux-type sums: n n − X + X Sg (f; P ) = (inf f)[g(xk)−g(xk−1)];Sg (f; P ) = (sup f)[g(xk)−g(xk−1)]; Ik k=1 k=1 Ik where Ik = [xk−1; xk]. Clearly for any `tagging' ftkg, we have: − ∗ + ∗ Sg (f; P ) ≤ Sg(f; P ) ≤ Sg (f; P ): Given > 0, from uniform continuity of f we may find δ > 0 so that the oscillation oscIk f (sup minus inf) is smaller than , over each interval of − a partition with mesh less than δ. Let I = supP Sg (f; P ) (sup over all partitions). We have: ∗ + − X jSg(f; P )−Ij ≤ Sg (f; P )−Sg (f; P ) ≤ (oscIk f)[g(xk)−g(xk−1)] ≤ (g(b)−g(a): k R b − + This shows a fdg exists, and equals supP Sg (f; P ) (or infP Sg (f; P )), if g is increasing.
    [Show full text]
  • Master's Project COMPUTATIONAL METHODS for the RIEMANN
    Master's Project COMPUTATIONAL METHODS FOR THE RIEMANN ZETA FUNCTION under the guidance of Prof. Frank Massey Department of Mathematics and Statistics The University of Michigan − Dearborn Matthew Kehoe [email protected] In partial fulfillment of the requirements for the degree of MASTER of SCIENCE in Applied and Computational Mathematics December 19, 2015 Acknowledgments I would like to thank my supervisor, Dr. Massey, for his help and support while completing the project. I would also like to thank all of the professors at the University of Michigan − Dearborn who continually teach mathematics. Many authors, including Andrew Odlyzko, Glen Pugh, Ken Takusagawa, Harold Edwards, and Aleksandar Ivic assisted me by writing articles and books about the Riemann zeta function. I am also grateful to the online communities of Stack Overflow and Mathematics Stack Exchange. Both of these communities assisted me in my studies and are helpful for all students. i Abstract The purpose of this project is to explore different computational methods for the Riemann zeta function. Modern analysis shows that a variety of different methods have been used to compute values for the zeta function and its zeroes. I am looking to develop multiple programs that will find non-trivial zeroes and specific function values. All computer implementations have been done inside the Java programming language. One could easily transfer the programs written inside the appendix to their preferred programming language. My main motivation for writing these programs is because I am interested in learning more about the mathematics behind the zeta function and its zeroes. The zeta function is an extremely important part of mathematics and is formally denoted by ζ(s).
    [Show full text]
  • Integration and Summation
    Integration and Summation Edward Jin Contents 1 Preface 3 2 Riemann Sums 4 2.1 Theory . .4 2.2 Exercises . .5 2.3 Solutions . .6 3 Weierstrass Substitutions 7 3.1 Theory . .7 3.2 Exercises . .8 3.3 Solutions . .9 4 Clever Substitutions 10 4.1 Theory . 10 4.2 Exercises . 11 4.2.1 Solutions . 12 5 Integral and Summation Substitutions 13 5.1 Theory . 13 5.2 Exercises . 15 5.3 Solutions . 16 6 Substitutions About the Domain 17 6.1 Theory . 17 6.2 Exercises . 19 6.3 Solutions . 20 7 Gaussian Integral; Gamma/Beta Functions 21 7.1 Gamma Function . 21 1 CONTENTS 2 7.2 Beta Function . 21 7.3 Gaussian Integral . 22 7.4 Exercises . 24 7.5 Solutions . 25 8 Differentiation Under the Integral Sign 27 8.1 Theory . 27 8.2 Exercises . 28 8.3 Solutions . 29 9 Frullani’s Theorem 30 9.1 Exercises . 30 9.2 Solutions . 31 10 Further Exercises 32 Chapter 1 Preface This text is designed to introduce various techniques in Integration and Summation, which are commonly seen in Integration Bees and other such contests. The text is designed to be accessible to those who have completed a standard single-variable calculus course. Examples, Exercises, and Solutions are presented in each section in order to help the reader become become acquainted with the techniques presented. It is assumed that the reader is familiar with single-variable calculus methods of integration, including u-substitution, integration by parts, trigonometric substitution, and partial fractions. It is also assumed that the reader is familiar with trigonometric and logarithmic identities.
    [Show full text]