The Radical 2-Subgroups of Some Sporadic Simple Groups
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Construction of Finite Matrix Groups
Construction of finite matrix groups Robert A. Wilson School of Mathematics and Statistics, The University of Birmingham published in Birkh¨auserProgress in Math. 173 (1999), pp. 61{83 Abstract We describe various methods of construction of matrix representa- tions of finite groups. The applications are mainly, but not exclusively, to quasisimple or almost simple groups. Some of the techniques can also be generalized to permutation representations. 1 Introduction It is one thing to determine the characters of a group, but quite another to construct the associated representations. For example, it is an elementary exercise to obtain the character table of the alternating group A5 by first determining the conjugacy classes, then writing down the trivial character and the permutation characters on points and unordered pairs, and using row orthogonality to obtain the irreducibles of degree 4 and 5, and finally using column orthogonality to complete the table. The result (see Table 1) shows that there are two characters of degree 3, but how do we construct the corresponding 3-dimensional representations? In general, we need some more information than just the characters, such as a presentation in terms of generators and relations, or some knowledge of subgroup structure, such as a generating amalgam, or something similar. If we have a presentation for our group, then in a sense it is already de- termined, and there are various algorithms which in principle at least will construct more or less any desired representation. The most important and 1 Table 1: The character table of A5 Class name 1A 2A 3A 5A 5B Class size 1 15 20 12 12 χ1 1 1 1 1 1 χ2 3 −1 0 τ σ χ3 3 −1 0 σ τ χ4 4 0 1 −1 −1 χ5 5 1 −1 0 0 1 p 1 p τ = (1 + 5); σ = (1 − 5) 2 2 well-known is Todd{Coxeter coset enumeration, which converts a presenta- tion into a permutation representation, and is well described in many places, such as [11]. -
The General Linear Group
18.704 Gabe Cunningham 2/18/05 [email protected] The General Linear Group Definition: Let F be a field. Then the general linear group GLn(F ) is the group of invert- ible n × n matrices with entries in F under matrix multiplication. It is easy to see that GLn(F ) is, in fact, a group: matrix multiplication is associative; the identity element is In, the n × n matrix with 1’s along the main diagonal and 0’s everywhere else; and the matrices are invertible by choice. It’s not immediately clear whether GLn(F ) has infinitely many elements when F does. However, such is the case. Let a ∈ F , a 6= 0. −1 Then a · In is an invertible n × n matrix with inverse a · In. In fact, the set of all such × matrices forms a subgroup of GLn(F ) that is isomorphic to F = F \{0}. It is clear that if F is a finite field, then GLn(F ) has only finitely many elements. An interesting question to ask is how many elements it has. Before addressing that question fully, let’s look at some examples. ∼ × Example 1: Let n = 1. Then GLn(Fq) = Fq , which has q − 1 elements. a b Example 2: Let n = 2; let M = ( c d ). Then for M to be invertible, it is necessary and sufficient that ad 6= bc. If a, b, c, and d are all nonzero, then we can fix a, b, and c arbitrarily, and d can be anything but a−1bc. This gives us (q − 1)3(q − 2) matrices. -
Normal Subgroups of the General Linear Groups Over Von Neumann Regular Rings L
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 96, Number 2, February 1986 NORMAL SUBGROUPS OF THE GENERAL LINEAR GROUPS OVER VON NEUMANN REGULAR RINGS L. N. VASERSTEIN1 ABSTRACT. Let A be a von Neumann regular ring or, more generally, let A be an associative ring with 1 whose reduction modulo its Jacobson radical is von Neumann regular. We obtain a complete description of all subgroups of GLn A, n > 3, which are normalized by elementary matrices. 1. Introduction. For any associative ring A with 1 and any natural number n, let GLn A be the group of invertible n by n matrices over A and EnA the subgroup generated by all elementary matrices x1'3, where 1 < i / j < n and x E A. In this paper we describe all subgroups of GLn A normalized by EnA for any von Neumann regular A, provided n > 3. Our description is standard (see Bass [1] and Vaserstein [14, 16]): a subgroup H of GL„ A is normalized by EnA if and only if H is of level B for an ideal B of A, i.e. E„(A, B) C H C Gn(A, B). Here Gn(A, B) is the inverse image of the center of GL„(,4/S) (when n > 2, this center consists of scalar invertible matrices over the center of the ring A/B) under the canonical homomorphism GL„ A —►GLn(A/B) and En(A, B) is the normal subgroup of EnA generated by all elementary matrices in Gn(A, B) (when n > 3, the group En(A, B) is generated by matrices of the form (—y)J'lx1'Jy:i''1 with x € B,y £ A,l < i ^ j < n, see [14]). -
Variational Problems on Flows of Diffeomorphisms for Image Matching
QUARTERLY OF APPLIED MATHEMATICS VOLUME LVI, NUMBER 3 SEPTEMBER 1998, PAGES 587-600 VARIATIONAL PROBLEMS ON FLOWS OF DIFFEOMORPHISMS FOR IMAGE MATCHING By PAUL DUPUIS (LCDS, Division of Applied Mathematics, Brown University, Providence, RI), ULF GRENANDER (Division of Applied Mathematics, Brown University, Providence, Rl), AND MICHAEL I. MILLER (Dept. of Electrical Engineering, Washington University, St. Louis, MO) Abstract. This paper studies a variational formulation of the image matching prob- lem. We consider a scenario in which a canonical representative image T is to be carried via a smooth change of variable into an image that is intended to provide a good fit to the observed data. The images are all defined on an open bounded set GcR3, The changes of variable are determined as solutions of the nonlinear Eulerian transport equation ==v(rj(s;x),s), r)(t;x)=x, (0.1) with the location 77(0;x) in the canonical image carried to the location x in the deformed image. The variational problem then takes the form arg mm ;||2 + [ |Tor?(0;a;) - D(x)\2dx (0.2) JG where ||v|| is an appropriate norm on the velocity field v(-, •), and the second term at- tempts to enforce fidelity to the data. In this paper we derive conditions under which the variational problem described above is well posed. The key issue is the choice of the norm. Conditions are formulated under which the regularity of v(-, ■) imposed by finiteness of the norm guarantees that the associated flow is supported on a space of diffeomorphisms. The problem (0.2) can Received March 15, 1996. -
On Generalizations of Sylow Tower Groups
Pacific Journal of Mathematics ON GENERALIZATIONS OF SYLOW TOWER GROUPS ABI (ABIADBOLLAH)FATTAHI Vol. 45, No. 2 October 1973 PACIFIC JOURNAL OF MATHEMATICS Vol. 45, No. 2, 1973 ON GENERALIZATIONS OF SYLOW TOWER GROUPS ABIABDOLLAH FATTAHI In this paper two different generalizations of Sylow tower groups are studied. In Chapter I the notion of a fc-tower group is introduced and a bound on the nilpotence length (Fitting height) of an arbitrary finite solvable group is found. In the same chapter a different proof to a theorem of Baer is given; and the list of all minimal-not-Sylow tower groups is obtained. Further results are obtained on a different generalization of Sylow tower groups, called Generalized Sylow Tower Groups (GSTG) by J. Derr. It is shown that the class of all GSTG's of a fixed complexion form a saturated formation, and a structure theorem for all such groups is given. NOTATIONS The following notations will be used throughont this paper: N<]G N is a normal subgroup of G ΛΓCharG N is a characteristic subgroup of G ΛΓ OG N is a minimal normal subgroup of G M< G M is a proper subgroup of G M<- G M is a maximal subgroup of G Z{G) the center of G #>-part of the order of G, p a prime set of all prime divisors of \G\ Φ(G) the Frattini subgroup of G — the intersec- tion of all maximal subgroups of G [H]K semi-direct product of H by K F(G) the Fitting subgroup of G — the maximal normal nilpotent subgroup of G C(H) = CG(H) the centralizer of H in G N(H) = NG(H) the normalizer of H in G PeSy\p(G) P is a Sylow ^-subgroup of G P is a Sy-subgroup of G PeSγlp(G) Core(H) = GoreG(H) the largest normal subgroup of G contained in H= ΓioeoH* KG) the nilpotence length (Fitting height) of G h(G) p-length of G d(G) minimal number of generators of G c(P) nilpotence class of the p-group P some nonnegative power of prime p OP(G) largest normal p-subgroup of G 453 454 A. -
LM2931-N SNOSBE5G –MARCH 2000–REVISED APRIL 2013 LM2931-N Series Low Dropout Regulators Check for Samples: LM2931-N
LM2931-N www.ti.com SNOSBE5G –MARCH 2000–REVISED APRIL 2013 LM2931-N Series Low Dropout Regulators Check for Samples: LM2931-N 1FEATURES DESCRIPTION The LM2931-N positive voltage regulator features a 2• Very Low Quiescent Current very low quiescent current of 1mA or less when • Output Current in Excess of 100 mA supplying 10mA loads. This unique characteristic and • Input-output Differential Less than 0.6V the extremely low input-output differential required for • Reverse Battery Protection proper regulation (0.2V for output currents of 10mA) make the LM2931-N the ideal regulator for standby • 60V Load Dump Protection power systems. Applications include memory standby • −50V Reverse Transient Protection circuits, CMOS and other low power processor power • Short Circuit Protection supplies as well as systems demanding as much as • Internal Thermal Overload Protection 100mA of output current. • Mirror-image Insertion Protection Designed originally for automotive applications, the LM2931-N and all regulated circuitry are protected • Available in TO-220, TO-92, TO-263, or SOIC-8 from reverse battery installations or 2 battery jumps. Packages During line transients, such as a load dump (60V) • Available as Adjustable with TTL Compatible when the input voltage to the regulator can Switch momentarily exceed the specified maximum operating voltage, the regulator will automatically shut down to protect both internal circuits and the load. The LM2931-N cannot be harmed by temporary mirror-image insertion. Familiar regulator features such as short circuit and thermal overload protection are also provided. The LM2931-N family includes a fixed 5V output (±3.8% tolerance for A grade) or an adjustable output with ON/OFF pin. -
Completing the Brauer Trees for the Sporadic Simple Lyons Group
COMPLETING THE BRAUER TREES FOR THE SPORADIC SIMPLE LYONS GROUP JURGEN¨ MULLER,¨ MAX NEUNHOFFER,¨ FRANK ROHR,¨ AND ROBERT WILSON Abstract. In this paper we complete the Brauer trees for the sporadic sim- ple Lyons group Ly in characteristics 37 and 67. The results are obtained using tools from computational representation theory, in particular a new con- densation technique, and with the assistance of the computer algebra systems MeatAxe and GAP. 1. Introduction 1.1. In this paper we complete the Brauer trees for the sporadic simple Lyons group Ly in characteristics 37 and 67. The results are stated in Section 2, and will also be made accessible in the character table library of the computer algebra system GAP and electronically in [1]. The shape of the Brauer trees as well as the labelling of nodes up to algebraic conjugacy of irreducible ordinary characters had already been found in [8, Section 6.19.], while here we complete the trees by determining the labelling of the nodes on their real stems and their planar embedding; proofs are given in Section 4. Together with the results in [8, Section 6.19.] for the other primes dividing the group order, this completes all the Brauer trees for Ly. Our main computational workhorse is fixed point condensation, which originally was invented for permutation modules in [20], but has been applied to different types of modules as well. To our knowledge, the permutation module we have condensed is the largest one for which this has been accomplished so far. The theoretical background of the idea of condensation is described in Section 3. -
Quasi P Or Not Quasi P? That Is the Question
Rose-Hulman Undergraduate Mathematics Journal Volume 3 Issue 2 Article 2 Quasi p or not Quasi p? That is the Question Ben Harwood Northern Kentucky University, [email protected] Follow this and additional works at: https://scholar.rose-hulman.edu/rhumj Recommended Citation Harwood, Ben (2002) "Quasi p or not Quasi p? That is the Question," Rose-Hulman Undergraduate Mathematics Journal: Vol. 3 : Iss. 2 , Article 2. Available at: https://scholar.rose-hulman.edu/rhumj/vol3/iss2/2 Quasi p- or not quasi p-? That is the Question.* By Ben Harwood Department of Mathematics and Computer Science Northern Kentucky University Highland Heights, KY 41099 e-mail: [email protected] Section Zero: Introduction The question might not be as profound as Shakespeare’s, but nevertheless, it is interesting. Because few people seem to be aware of quasi p-groups, we will begin with a bit of history and a definition; and then we will determine for each group of order less than 24 (and a few others) whether the group is a quasi p-group for some prime p or not. This paper is a prequel to [Hwd]. In [Hwd] we prove that (Z3 £Z3)oZ2 and Z5 o Z4 are quasi 2-groups. Those proofs now form a portion of Proposition (12.1) It should also be noted that [Hwd] may also be found in this journal. Section One: Why should we be interested in quasi p-groups? In a 1957 paper titled Coverings of algebraic curves [Abh2], Abhyankar conjectured that the algebraic fundamental group of the affine line over an algebraically closed field k of prime characteristic p is the set of quasi p-groups, where by the algebraic fundamental group of the affine line he meant the family of all Galois groups Gal(L=k(X)) as L varies over all finite normal extensions of k(X) the function field of the affine line such that no point of the line is ramified in L, and where by a quasi p-group he meant a finite group that is generated by all of its p-Sylow subgroups. -
A Fast Diffeomorphic Image Registration Algorithm
www.elsevier.com/locate/ynimg NeuroImage 38 (2007) 95–113 A fast diffeomorphic image registration algorithm John Ashburner Wellcome Trust Centre for Neuroimaging, 12 Queen Square, London, WC1N 3BG, UK Received 26 October 2006; revised 14 May 2007; accepted 3 July 2007 Available online 18 July 2007 This paper describes DARTEL, which is an algorithm for diffeo- Many registration approaches still use a small deformation morphic image registration. It is implemented for both 2D and 3D model. These models parameterise a displacement field (u), which image registration and has been formulated to include an option for is simply added to an identity transform (x). estimating inverse consistent deformations. Nonlinear registration is considered as a local optimisation problem, which is solved using a Φ x x u x 1 Levenberg–Marquardt strategy. The necessary matrix solutions are ð Þ ¼ þ ð Þ ð Þ obtained in reasonable time using a multigrid method. A constant In such parameterisations, the inverse transformation is sometimes Eulerian velocity framework is used, which allows a rapid scaling and approximated by subtracting the displacement. It is worth noting that squaring method to be used in the computations. DARTEL has been this is only a very approximate inverse, which fails badly for larger applied to intersubject registration of 471 whole brain images, and the deformations. As shown in Fig. 1, compositions of these forward resulting deformations were evaluated in terms of how well they encode and “inverse” deformations do not produce an identity transform. the shape information necessary to separate male and female subjects Small deformation models do not necessarily enforce a one-to-one and to predict the ages of the subjects. -
Deep Compositing Using Lie Algebras
Deep Compositing Using Lie Algebras TOM DUFF Pixar Animation Studios Deep compositing is an important practical tool in creating digital imagery, Deep images extend Porter-Duff compositing by storing multiple but there has been little theoretical analysis of the underlying mathematical values at each pixel with depth information to determine composit- operators. Motivated by finding a simple formulation of the merging oper- ing order. The OpenEXR deep image representation stores, for each ation on OpenEXR-style deep images, we show that the Porter-Duff over pixel, a list of nonoverlapping depth intervals, each containing a function is the operator of a Lie group. In its corresponding Lie algebra, the single pixel value [Kainz 2013]. An interval in a deep pixel can splitting and mixing functions that OpenEXR deep merging requires have a represent contributions either by hard surfaces if the interval has particularly simple form. Working in the Lie algebra, we present a novel, zero extent or by volumetric objects when the interval has nonzero simple proof of the uniqueness of the mixing function. extent. Displaying a single deep image requires compositing all the The Lie group structure has many more applications, including new, values in each deep pixel in depth order. When two deep images correct resampling algorithms for volumetric images with alpha channels, are merged, splitting and mixing of these intervals are necessary, as and a deep image compression technique that outperforms that of OpenEXR. described in the following paragraphs. 26 r Merging the pixels of two deep images requires that correspond- CCS Concepts: Computing methodologies → Antialiasing; Visibility; ing pixels of the two images be reconciled so that all overlapping Image processing; intervals are identical in extent. -
Integer Discrete Flows and Lossless Compression
Integer Discrete Flows and Lossless Compression Emiel Hoogeboom⇤ Jorn W.T. Peters⇤ UvA-Bosch Delta Lab UvA-Bosch Delta Lab University of Amsterdam University of Amsterdam Netherlands Netherlands [email protected] [email protected] Rianne van den Berg† Max Welling University of Amsterdam UvA-Bosch Delta Lab Netherlands University of Amsterdam [email protected] Netherlands [email protected] Abstract Lossless compression methods shorten the expected representation size of data without loss of information, using a statistical model. Flow-based models are attractive in this setting because they admit exact likelihood optimization, which is equivalent to minimizing the expected number of bits per message. However, conventional flows assume continuous data, which may lead to reconstruction errors when quantized for compression. For that reason, we introduce a flow-based generative model for ordinal discrete data called Integer Discrete Flow (IDF): a bijective integer map that can learn rich transformations on high-dimensional data. As building blocks for IDFs, we introduce a flexible transformation layer called integer discrete coupling. Our experiments show that IDFs are competitive with other flow-based generative models. Furthermore, we demonstrate that IDF based compression achieves state-of-the-art lossless compression rates on CIFAR10, ImageNet32, and ImageNet64. To the best of our knowledge, this is the first lossless compression method that uses invertible neural networks. 1 Introduction Every day, 2500 petabytes of data are generated. Clearly, there is a need for compression to enable efficient transmission and storage of this data. Compression algorithms aim to decrease the size of representations by exploiting patterns and structure in data. -
Moonshines for L2(11) and M12
Moonshines for L2(11) and M12 Suresh Govindarajan Department of Physics Indian Institute of Technology Madras (Work done with my student Sutapa Samanta) Talk at the Workshop on Modular Forms and Black Holes @NISER, Bhubaneswar on January 13. 2017 Plan Introduction Some finite group theory Moonshine BKM Lie superalgebras Introduction Classification of Finite Simple Groups Every finite simple group is isomorphic to one of the following groups: (Source: Wikipedia) I A cyclic group with prime order; I An alternating group of degree at least 5; I A simple group of Lie type, including both I the classical Lie groups, namely the groups of projective special linear, unitary, symplectic, or orthogonal transformations over a finite field; I the exceptional and twisted groups of Lie type (including the Tits group which is not strictly a group of Lie type). I The 26 sporadic simple groups. The classification was completed in 2004 when Aschbacher and Smith filled the last gap (`the quasi-thin case') in the proof. Fun Reading: Symmetry and the Monster by Mark Ronan The sporadic simple groups I the Mathieu groups: M11, M12, M22, M23, M24; (found in 1861) I the Janko groups: J1, J2, J3, J4; (others 1965-1980) I the Conway groups; Co1, Co2, Co3; 0 I the Fischer groups; Fi22. Fi23, Fi24; I the Higman-Sims group; HS I the McLaughlin group: McL I the Held group: He; I the Rudvalis group Ru; I the Suzuki sporadic group: Suz; 0 I the O'Nan group: O N; I Harada-Norton group: HN; I the Lyons group: Ly; I the Thompson group: Th; I the baby Monster group: B and Sources: Wikipedia and Mark Ronan I the Fischer-Griess Monster group: M Monstrous Moonshine Conjectures I The j-function has the followed q-series: (q = exp(2πiτ)) j(τ)−744 = q−1+[196883+1] q+[21296876+196883+1] q2+··· I McKay observed that 196883 and 21296876 are the dimensions of the two smallest irreps of the Monster group.