Elliptic Curves and Cryptography 1 Elliptic Curves

Total Page:16

File Type:pdf, Size:1020Kb

Elliptic Curves and Cryptography 1 Elliptic Curves Elliptic Curves and Cryptography Prof. Will Traves, USNA1 Many applications of mathematics depend on properties of smooth degree-2 curves: for example, Galileo showed that planets move in elliptical orbits and modern car headlights are more efficient because they use parabolic reflectors (see Exercise 1). In the last 30 years smooth degree-3 curves have been at the heart of significant theoretical and practical applications. Smooth degree-3 curves, known as elliptic curves, were used in Andrew Wiles’s proof of Fermat’s Last Theorem [11]. The points on elliptic curves form a group with a nice geometric description. Hendrick Lenstra [5] exploited this group structure to show that elliptic curves can be used to factor large numbers with a relatively small divisor. At one time this was thought to offer a serious challenge to RSA cryptography, which depends on the difficulty of factoring large numbers to secure communication. The Diffie-Helman protocol is another cryptographic scheme which is increasingly popular. While the Diffie-Helman protocol can be used with any group, recent implementations using elliptic curves seem to be very efficient. In this packet of course notes, we’ll explore the mathematics underlying elliptic curves and their use in cryptography. 1 Elliptic Curves The definition of an elliptic curve hides a lot of details: An elliptic curve is a smooth degree-3 plane curve. The first subtlety is that the curve lives in the projective plane rather than the usual xy-plane. In the projective plane P2 the points are tuples of ratios (X : Y : Z) 6= (0 : 0 : 0) under the equivalence relation (X : Y : Z) = (λX : λY : λZ) for λ 6= 0: A point (X : Y : Z) with Z 6= 0 can be written in the form (X=Z : Y=Z : 1) and corresponds to the point (x; y) with x = X=Z and y = Y=Z in two-space. Points (X : Y : Z) with Z = 0 are said to be points “at infinity”. Every curve defined by a polynomial equation in the usual plane can be extended to a curve in the projective plane. If f(x; y) = 0 is the equation of the curve in the xy-plane then we write x = X=Z and y = Y=Z and clear denominators by multiplying by Zdeg(f) to obtain an equation F (X; Y; Z) = 0 in the 1The development of these course notes was financially supported by the Defense Information Assurance Program funded by the National Security Agency. variables of P2. The polynomial F is said to be homogenized since all its terms have the same degree. The value of the homogenized polynomial F (X; Y; Z) at a point (X : Y : Z) in projective space is not well-defined since F (λX; λY; λZ) = λdeg(F )F (X; Y; Z) but it does make sense to talk about the collection V(F ) of points (X : Y : Z) 2 P2 where F (X; Y; Z) = 0. Note that if (X : Y : Z) = (x : y : 1) then F (X; Y; Z) = 0 if and only if f(x; y) = 0, so V(F ) contains points in P2 corresponding to the points on the original curve f(x; y) = 0 but V(F ) also contains some points at infinity. Example 1. Consider the line y − x + 1 = 0 in two-space. Its homogenization is Y − X + Z = 0. Every point (x; y) on the original line gives a point (x : y : 1) on the homogenization. The homogenization also contains a point at infinity: when Z = 0 we see that the homogenization equation reduces to Y − X = 0, which determines a single point (X : X : 0) = (1 : 1 : 0) in P2. That is, V(Y − X + Z) = f(x : y : 1) j y − x + 1 = 0g [ f(1 : 1 : 0)g: The line y − x − 2 = 0 has homogenization Y − X − 2Z = 0 and so if Z = 0 then we again get the point (1 : 1 : 0) lying on the line at infinity. In fact, all parallel lines intersect at the same point at infinity (see Exercise 2). So we think of the curve Z = 0 as defining the horizon, “at infinity”. There is one point at infinity for each possible slope. It is much easier to describe the intersections of curves in projective space: for example, every pair of distinct lines meets in exactly one point, even if the lines are parallel. Etienne´ Bezout,´ working at the French Naval Academy, dis- covered a generalization of this result. Figure 1: Parallel lines meet at infinity. Theorem 2 (Bezout’s´ Theorem). If two curves determined by homogeneous polynomials of degrees d1 and d2, respectively, do not share a common component, then they meet in precisely d1d2 points in the projective plane if we count the points appropriately. The theorem requires that the two curves not share a common component, i.e. that the two defining polynomials do not share a common polynomial divisor. As well, we are instructed to count points appropriately. To do so we must allow complex coordinates, count points at infinity, and count points with multiplicity. To describe the computation of multiplicity rigorously requires advanced algebraic concepts, but we can get an accurate idea of how to count with multiplicity by looking at Figure 2. Figure 2: P is a point of multiplicity 1 (left), 2 (middle), 3 (right). If a point P lies on two curves with distinct tangents at P then the point P counts with multiplicity one. If the tangent lines to the curves coincide at P then we move one of the curves slightly; the multiplicity at P is the number of points in the intersection that approach P as the moving curve approaches the original curve. In Figure 2 the moving curve is drawn with a dashed line and it approaches the horizontal line. Let’s return to our definition: an elliptic curve is a smooth projective plane curve of degree 3. That is, the curve is defined by an polynomial equation F (X; Y; Z) = 0 of degree 3. The curve is smooth if every point on the curve has a unique tangent line. We can find the tangent line using the gradient. If P (X0 : Y0 : Z0) is a point on the curve F (X; Y; Z) = 0 then P is a smooth point of the curve if rF (X0;Y0;Z0) = hfX (X0;Y0;Z0); fY (X0;Y0;Z0); fZ (X0;Y0;Z0)i= 6 h0; 0; 0i: If P is a point on the curve that is not smooth we say that P is a singular point of the curve. The curve itself is said to be smooth if each of its points is smooth. If P is smooth point of the curve, then the tangent line at P is given by the equation rF (X0;Y0;Z0) · hX − X0;Y − Y0;Z − Z0i = 0: Try Exercise 3 to get a feel for which cubic curves are smooth and which have singularities. It turns out that each elliptic curve C has a point of inflection (see Exercise 4), a point where the curve C meets its tangent line in multiplicity three, as in the right diagram of Figure 2. Fix one such point of inflection and call it E. If P and Q are distinct points on the elliptic curve, then the line through P and Q is a degree 1 curve and by Bezout’s´ Theorem it meets C in another point (PQ). Similarly, the line through E and (PQ) hits the curve C in another point, which we denote P +Q. If two points in this process coincide then we replace the secant line through both points with the tangent line. Theorem 3. The points on the elliptic curve C form an Abelian group under the operation + defined above. The identity element of the group is the point E. Proof. We leave it to the reader to check that the elliptic curve C is closed under the oper- ation +, that the identity element is E, that the inverse of a point on C is again a point on C, and that P + Q = Q + P (see Exercise 5). It remains to check that the group law is associative. This follows from a nice result about cubics: if two cubic (degree-3) curves meet in 9 points, then any other cubic passing through 8 of them also passes through the ninth. This theorem can be proven using Bezout’s´ Theorem; you might want to check out the proof given by Fields Medalist Terry Tao on his blog.2 To show that (P + Q) + R = P + (Q + R) it suffices to show that R(P + Q) = P (Q + R) since then the line joining this point to E meets C for a third time in both (P + Q) + R = P + (Q + R). We define three red lines and three blue lines as in Figure 3. Figure 3: Six lines to show R(P + Q) = P (Q + R). Let the line through P and Q be colored red. It hits C at (PQ). Let the line through (PQ) and E be colored blue. It hits C at P + Q. Let the line through P + Q and R be colored red. It hits C at R(P + Q). Now let the line through Q and R be colored blue. 2See Tao’s July 15, 2011 post at terrytao.wordpress.com. It hits C at (QR). Let the line through (QR) and E be colored red. It hits C at Q + R. Let the line through Q + R and P be colored blue.
Recommended publications
  • Examples from Complex Geometry
    Examples from Complex Geometry Sam Auyeung November 22, 2019 1 Complex Analysis Example 1.1. Two Heuristic \Proofs" of the Fundamental Theorem of Algebra: Let p(z) be a polynomial of degree n > 0; we can even assume it is a monomial. We also know that the number of zeros is at most n. We show that there are exactly n. 1. Proof 1: Recall that polynomials are entire functions and that Liouville's Theorem says that a bounded entire function is in fact constant. Suppose that p has no roots. Then 1=p is an entire function and it is bounded. Thus, it is constant which means p is a constant polynomial and has degree 0. This contradicts the fact that p has positive degree. Thus, p must have a root α1. We can then factor out (z − α1) from p(z) = (z − α1)q(z) where q(z) is an (n − 1)-degree polynomial. We may repeat the above process until we have a full factorization of p. 2. Proof 2: On the real line, an algorithm for finding a root of a continuous function is to look for when the function changes signs. How do we generalize this to C? Instead of having two directions, we have a whole S1 worth of directions. If we use colors to depict direction and brightness to depict magnitude, we can plot a graph of a continuous function f : C ! C. Near a zero, we'll see all colors represented. If we travel in a loop around any point, we can keep track of whether it passes through all the colors; around a zero, we'll pass through all the colors, possibly many times.
    [Show full text]
  • A Review on Elliptic Curve Cryptography for Embedded Systems
    International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 3, June 2011 A REVIEW ON ELLIPTIC CURVE CRYPTOGRAPHY FOR EMBEDDED SYSTEMS Rahat Afreen 1 and S.C. Mehrotra 2 1Tom Patrick Institute of Computer & I.T, Dr. Rafiq Zakaria Campus, Rauza Bagh, Aurangabad. (Maharashtra) INDIA [email protected] 2Department of C.S. & I.T., Dr. B.A.M. University, Aurangabad. (Maharashtra) INDIA [email protected] ABSTRACT Importance of Elliptic Curves in Cryptography was independently proposed by Neal Koblitz and Victor Miller in 1985.Since then, Elliptic curve cryptography or ECC has evolved as a vast field for public key cryptography (PKC) systems. In PKC system, we use separate keys to encode and decode the data. Since one of the keys is distributed publicly in PKC systems, the strength of security depends on large key size. The mathematical problems of prime factorization and discrete logarithm are previously used in PKC systems. ECC has proved to provide same level of security with relatively small key sizes. The research in the field of ECC is mostly focused on its implementation on application specific systems. Such systems have restricted resources like storage, processing speed and domain specific CPU architecture. KEYWORDS Elliptic curve cryptography Public Key Cryptography, embedded systems, Elliptic Curve Digital Signature Algorithm ( ECDSA), Elliptic Curve Diffie Hellman Key Exchange (ECDH) 1. INTRODUCTION The changing global scenario shows an elegant merging of computing and communication in such a way that computers with wired communication are being rapidly replaced to smaller handheld embedded computers using wireless communication in almost every field. This has increased data privacy and security requirements.
    [Show full text]
  • Contents 5 Elliptic Curves in Cryptography
    Cryptography (part 5): Elliptic Curves in Cryptography (by Evan Dummit, 2016, v. 1.00) Contents 5 Elliptic Curves in Cryptography 1 5.1 Elliptic Curves and the Addition Law . 1 5.1.1 Cubic Curves, Weierstrass Form, Singular and Nonsingular Curves . 1 5.1.2 The Addition Law . 3 5.1.3 Elliptic Curves Modulo p, Orders of Points . 7 5.2 Factorization with Elliptic Curves . 10 5.3 Elliptic Curve Cryptography . 14 5.3.1 Encoding Plaintexts on Elliptic Curves, Quadratic Residues . 14 5.3.2 Public-Key Encryption with Elliptic Curves . 17 5.3.3 Key Exchange and Digital Signatures with Elliptic Curves . 20 5 Elliptic Curves in Cryptography In this chapter, we will introduce elliptic curves and describe how they are used in cryptography. Elliptic curves have a long and interesting history and arise in a wide range of contexts in mathematics. The study of elliptic curves involves elements from most of the major disciplines of mathematics: algebra, geometry, analysis, number theory, topology, and even logic. Elliptic curves appear in the proofs of many deep results in mathematics: for example, they are a central ingredient in the proof of Fermat's Last Theorem, which states that there are no positive integer solutions to the equation xn + yn = zn for any integer n ≥ 3. Our goals are fairly modest in comparison, so we will begin by outlining the basic algebraic and geometric properties of elliptic curves and motivate the addition law. We will then study the behavior of elliptic curves modulo p: ultimately, there is a fairly strong analogy between the structure of the points on an elliptic curve modulo p and the integers modulo n.
    [Show full text]
  • An Efficient Approach to Point-Counting on Elliptic Curves
    mathematics Article An Efficient Approach to Point-Counting on Elliptic Curves from a Prominent Family over the Prime Field Fp Yuri Borissov * and Miroslav Markov Department of Mathematical Foundations of Informatics, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria; [email protected] * Correspondence: [email protected] Abstract: Here, we elaborate an approach for determining the number of points on elliptic curves 2 3 from the family Ep = fEa : y = x + a (mod p), a 6= 0g, where p is a prime number >3. The essence of this approach consists in combining the well-known Hasse bound with an explicit formula for the quantities of interest-reduced modulo p. It allows to advance an efficient technique to compute the 2 six cardinalities associated with the family Ep, for p ≡ 1 (mod 3), whose complexity is O˜ (log p), thus improving the best-known algorithmic solution with almost an order of magnitude. Keywords: elliptic curve over Fp; Hasse bound; high-order residue modulo prime 1. Introduction The elliptic curves over finite fields play an important role in modern cryptography. We refer to [1] for an introduction concerning their cryptographic significance (see, as well, Citation: Borissov, Y.; Markov, M. An the pioneering works of V. Miller and N. Koblitz from 1980’s [2,3]). Briefly speaking, the Efficient Approach to Point-Counting advantage of the so-called elliptic curve cryptography (ECC) over the non-ECC is that it on Elliptic Curves from a Prominent requires smaller keys to provide the same level of security. Family over the Prime Field Fp.
    [Show full text]
  • 25 Modular Forms and L-Series
    18.783 Elliptic Curves Spring 2015 Lecture #25 05/12/2015 25 Modular forms and L-series As we will show in the next lecture, Fermat's Last Theorem is a direct consequence of the following theorem [11, 12]. Theorem 25.1 (Taylor-Wiles). Every semistable elliptic curve E=Q is modular. In fact, as a result of subsequent work [3], we now have the stronger result, proving what was previously known as the modularity conjecture (or Taniyama-Shimura-Weil conjecture). Theorem 25.2 (Breuil-Conrad-Diamond-Taylor). Every elliptic curve E=Q is modular. Our goal in this lecture is to explain what it means for an elliptic curve over Q to be modular (we will also define the term semistable). This requires us to delve briefly into the theory of modular forms. Our goal in doing so is simply to understand the definitions and the terminology; we will omit all but the most straight-forward proofs. 25.1 Modular forms Definition 25.3. A holomorphic function f : H ! C is a weak modular form of weight k for a congruence subgroup Γ if f(γτ) = (cτ + d)kf(τ) a b for all γ = c d 2 Γ. The j-function j(τ) is a weak modular form of weight 0 for SL2(Z), and j(Nτ) is a weak modular form of weight 0 for Γ0(N). For an example of a weak modular form of positive weight, recall the Eisenstein series X0 1 X0 1 G (τ) := G ([1; τ]) := = ; k k !k (m + nτ)k !2[1,τ] m;n2Z 1 which, for k ≥ 3, is a weak modular form of weight k for SL2(Z).
    [Show full text]
  • Lectures on the Combinatorial Structure of the Moduli Spaces of Riemann Surfaces
    LECTURES ON THE COMBINATORIAL STRUCTURE OF THE MODULI SPACES OF RIEMANN SURFACES MOTOHICO MULASE Contents 1. Riemann Surfaces and Elliptic Functions 1 1.1. Basic Definitions 1 1.2. Elementary Examples 3 1.3. Weierstrass Elliptic Functions 10 1.4. Elliptic Functions and Elliptic Curves 13 1.5. Degeneration of the Weierstrass Elliptic Function 16 1.6. The Elliptic Modular Function 19 1.7. Compactification of the Moduli of Elliptic Curves 26 References 31 1. Riemann Surfaces and Elliptic Functions 1.1. Basic Definitions. Let us begin with defining Riemann surfaces and their moduli spaces. Definition 1.1 (Riemann surfaces). A Riemann surface is a paracompact Haus- S dorff topological space C with an open covering C = λ Uλ such that for each open set Uλ there is an open domain Vλ of the complex plane C and a homeomorphism (1.1) φλ : Vλ −→ Uλ −1 that satisfies that if Uλ ∩ Uµ 6= ∅, then the gluing map φµ ◦ φλ φ−1 (1.2) −1 φλ µ −1 Vλ ⊃ φλ (Uλ ∩ Uµ) −−−−→ Uλ ∩ Uµ −−−−→ φµ (Uλ ∩ Uµ) ⊂ Vµ is a biholomorphic function. Remark. (1) A topological space X is paracompact if for every open covering S S X = λ Uλ, there is a locally finite open cover X = i Vi such that Vi ⊂ Uλ for some λ. Locally finite means that for every x ∈ X, there are only finitely many Vi’s that contain x. X is said to be Hausdorff if for every pair of distinct points x, y of X, there are open neighborhoods Wx 3 x and Wy 3 y such that Wx ∩ Wy = ∅.
    [Show full text]
  • Elliptic Curve Cryptography and Digital Rights Management
    Lecture 14: Elliptic Curve Cryptography and Digital Rights Management Lecture Notes on “Computer and Network Security” by Avi Kak ([email protected]) March 9, 2021 5:19pm ©2021 Avinash Kak, Purdue University Goals: • Introduction to elliptic curves • A group structure imposed on the points on an elliptic curve • Geometric and algebraic interpretations of the group operator • Elliptic curves on prime finite fields • Perl and Python implementations for elliptic curves on prime finite fields • Elliptic curves on Galois fields • Elliptic curve cryptography (EC Diffie-Hellman, EC Digital Signature Algorithm) • Security of Elliptic Curve Cryptography • ECC for Digital Rights Management (DRM) CONTENTS Section Title Page 14.1 Why Elliptic Curve Cryptography 3 14.2 The Main Idea of ECC — In a Nutshell 9 14.3 What are Elliptic Curves? 13 14.4 A Group Operator Defined for Points on an Elliptic 18 Curve 14.5 The Characteristic of the Underlying Field and the 25 Singular Elliptic Curves 14.6 An Algebraic Expression for Adding Two Points on 29 an Elliptic Curve 14.7 An Algebraic Expression for Calculating 2P from 33 P 14.8 Elliptic Curves Over Zp for Prime p 36 14.8.1 Perl and Python Implementations of Elliptic 39 Curves Over Finite Fields 14.9 Elliptic Curves Over Galois Fields GF (2n) 52 14.10 Is b =0 a Sufficient Condition for the Elliptic 62 Curve6 y2 + xy = x3 + ax2 + b to Not be Singular 14.11 Elliptic Curves Cryptography — The Basic Idea 65 14.12 Elliptic Curve Diffie-Hellman Secret Key 67 Exchange 14.13 Elliptic Curve Digital Signature Algorithm (ECDSA) 71 14.14 Security of ECC 75 14.15 ECC for Digital Rights Management 77 14.16 Homework Problems 82 2 Computer and Network Security by Avi Kak Lecture 14 Back to TOC 14.1 WHY ELLIPTIC CURVE CRYPTOGRAPHY? • As you saw in Section 12.12 of Lecture 12, the computational overhead of the RSA-based approach to public-key cryptography increases with the size of the keys.
    [Show full text]
  • Elliptic Curves, Modular Forms, and L-Functions Allison F
    Claremont Colleges Scholarship @ Claremont HMC Senior Theses HMC Student Scholarship 2014 There and Back Again: Elliptic Curves, Modular Forms, and L-Functions Allison F. Arnold-Roksandich Harvey Mudd College Recommended Citation Arnold-Roksandich, Allison F., "There and Back Again: Elliptic Curves, Modular Forms, and L-Functions" (2014). HMC Senior Theses. 61. https://scholarship.claremont.edu/hmc_theses/61 This Open Access Senior Thesis is brought to you for free and open access by the HMC Student Scholarship at Scholarship @ Claremont. It has been accepted for inclusion in HMC Senior Theses by an authorized administrator of Scholarship @ Claremont. For more information, please contact [email protected]. There and Back Again: Elliptic Curves, Modular Forms, and L-Functions Allison Arnold-Roksandich Christopher Towse, Advisor Michael E. Orrison, Reader Department of Mathematics May, 2014 Copyright c 2014 Allison Arnold-Roksandich. The author grants Harvey Mudd College and the Claremont Colleges Library the nonexclusive right to make this work available for noncommercial, educational purposes, provided that this copyright statement appears on the reproduced ma- terials and notice is given that the copying is by permission of the author. To dis- seminate otherwise or to republish requires written permission from the author. Abstract L-functions form a connection between elliptic curves and modular forms. The goals of this thesis will be to discuss this connection, and to see similar connections for arithmetic functions. Contents Abstract iii Acknowledgments xi Introduction 1 1 Elliptic Curves 3 1.1 The Operation . .4 1.2 Counting Points . .5 1.3 The p-Defect . .8 2 Dirichlet Series 11 2.1 Euler Products .
    [Show full text]
  • Algebraic Surfaces Sep
    Algebraic surfaces Sep. 17, 2003 (Wed.) 1. Comapct Riemann surface and complex algebraic curves This section is devoted to illustrate the connection between compact Riemann surface and complex algebraic curve. We will basically work out the example of elliptic curves and leave the general discussion for interested reader. Let Λ C be a lattice, that is, Λ = Zλ1 + Zλ2 with C = Rλ1 + Rλ2. Then an ⊂ elliptic curve E := C=Λ is an abelian group. On the other hand, it’s a compact Riemann surface. One would like to ask whether there are holomorphic function or meromorphic functions on E or not. To this end, let π : C E be the natural map, which is a group homomorphism (algebra), holomorphic function! (complex analysis), and covering (topology). A function f¯ on E gives a function f on C which is double periodic, i.e., f(z + λ1) = f(z); f(z + λ2) = f(z); z C: 8 2 Recall that we have the following Theorem 1.1 (Liouville). There is no non-constant bounded entire function. Corollary 1.2. There is no non-constant holomorphic function on E. Proof. First note that if f¯ is a holomorphic function on E, then it induces a double periodic holomorphic function on C. It then suffices to claim that a a double periodic holomorphic function on C is bounded. To do this, consider := z = α1λ1 + α2λ2 0 αi 1 . The image of f is f(D). However, D is compact,D f so is f(D) and hencej ≤f(D)≤ is bounded.g By Liouville theorem, f is constant and hence so is f¯.
    [Show full text]
  • Geometry of Algebraic Curves
    Geometry of Algebraic Curves Fall 2011 Course taught by Joe Harris Notes by Atanas Atanasov One Oxford Street, Cambridge, MA 02138 E-mail address: [email protected] Contents Lecture 1. September 2, 2011 6 Lecture 2. September 7, 2011 10 2.1. Riemann surfaces associated to a polynomial 10 2.2. The degree of KX and Riemann-Hurwitz 13 2.3. Maps into projective space 15 2.4. An amusing fact 16 Lecture 3. September 9, 2011 17 3.1. Embedding Riemann surfaces in projective space 17 3.2. Geometric Riemann-Roch 17 3.3. Adjunction 18 Lecture 4. September 12, 2011 21 4.1. A change of viewpoint 21 4.2. The Brill-Noether problem 21 Lecture 5. September 16, 2011 25 5.1. Remark on a homework problem 25 5.2. Abel's Theorem 25 5.3. Examples and applications 27 Lecture 6. September 21, 2011 30 6.1. The canonical divisor on a smooth plane curve 30 6.2. More general divisors on smooth plane curves 31 6.3. The canonical divisor on a nodal plane curve 32 6.4. More general divisors on nodal plane curves 33 Lecture 7. September 23, 2011 35 7.1. More on divisors 35 7.2. Riemann-Roch, finally 36 7.3. Fun applications 37 7.4. Sheaf cohomology 37 Lecture 8. September 28, 2011 40 8.1. Examples of low genus 40 8.2. Hyperelliptic curves 40 8.3. Low genus examples 42 Lecture 9. September 30, 2011 44 9.1. Automorphisms of genus 0 an 1 curves 44 9.2.
    [Show full text]
  • Identifying Supersingular Elliptic Curves
    LMS J. Comput. Math. 15 (2012) 317{325 C 2012 Author doi:10.1112/S1461157012001106e Identifying supersingular elliptic curves Andrew V. Sutherland Abstract Given an elliptic curve E over a field of positive characteristic p, we consider how to efficiently determine whether E is ordinary or supersingular. We analyze the complexity of several existing algorithms and then present a new approach that exploits structural differences between ordinary and supersingular isogeny graphs. This yields a simple algorithm that, given E and a suitable 3 2 non-residue in Fp2 , determines the supersingularity of E in O(n log n) time and O(n) space, where n = O(log p). Both these complexity bounds are significant improvements over existing methods, as we demonstrate with some practical computations. 1. Introduction An elliptic curve E over a field F of positive characteristic p is called supersingular if its p-torsion subgroup E[p] is trivial; see [7, Section 13.7] or [19, Section V.3] for several equivalent definitions. Otherwise, we say that E is ordinary. Supersingular curves differ from ordinary curves in many ways, and this has practical implications for algorithms that work with elliptic curves over finite fields, such as algorithms for counting points [16], generating codes [17], computing endomorphism rings [8], and calculating discrete logarithms [10]. Given an elliptic curve, one of the first things we might wish to know is whether it is ordinary or supersingular, and we would like to make this distinction as efficiently as possible. The answer to this question depends only on the isomorphism class of E over F¯, which is characterized by its j-invariant j(E).
    [Show full text]
  • Log Minimal Model Program for the Moduli Space of Stable Curves: the Second Flip
    LOG MINIMAL MODEL PROGRAM FOR THE MODULI SPACE OF STABLE CURVES: THE SECOND FLIP JAROD ALPER, MAKSYM FEDORCHUK, DAVID ISHII SMYTH, AND FREDERICK VAN DER WYCK Abstract. We prove an existence theorem for good moduli spaces, and use it to construct the second flip in the log minimal model program for M g. In fact, our methods give a uniform self-contained construction of the first three steps of the log minimal model program for M g and M g;n. Contents 1. Introduction 2 Outline of the paper 4 Acknowledgments 5 2. α-stability 6 2.1. Definition of α-stability6 2.2. Deformation openness 10 2.3. Properties of α-stability 16 2.4. αc-closed curves 18 2.5. Combinatorial type of an αc-closed curve 22 3. Local description of the flips 27 3.1. Local quotient presentations 27 3.2. Preliminary facts about local VGIT 30 3.3. Deformation theory of αc-closed curves 32 3.4. Local VGIT chambers for an αc-closed curve 40 4. Existence of good moduli spaces 45 4.1. General existence results 45 4.2. Application to Mg;n(α) 54 5. Projectivity of the good moduli spaces 64 5.1. Main positivity result 67 5.2. Degenerations and simultaneous normalization 69 5.3. Preliminary positivity results 74 5.4. Proof of Theorem 5.5(a) 79 5.5. Proof of Theorem 5.5(b) 80 Appendix A. 89 References 92 1 2 ALPER, FEDORCHUK, SMYTH, AND VAN DER WYCK 1. Introduction In an effort to understand the canonical model of M g, Hassett and Keel introduced the log minimal model program (LMMP) for M .
    [Show full text]