A Species Approach to the Twelvefold
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On Classification Problem of Loday Algebras 227
Contemporary Mathematics Volume 672, 2016 http://dx.doi.org/10.1090/conm/672/13471 On classification problem of Loday algebras I. S. Rakhimov Abstract. This is a survey paper on classification problems of some classes of algebras introduced by Loday around 1990s. In the paper the author intends to review the latest results on classification problem of Loday algebras, achieve- ments have been made up to date, approaches and methods implemented. 1. Introduction It is well known that any associative algebra gives rise to a Lie algebra, with bracket [x, y]:=xy − yx. In 1990s J.-L. Loday introduced a non-antisymmetric version of Lie algebras, whose bracket satisfies the Leibniz identity [[x, y],z]=[[x, z],y]+[x, [y, z]] and therefore they have been called Leibniz algebras. The Leibniz identity combined with antisymmetry, is a variation of the Jacobi identity, hence Lie algebras are antisymmetric Leibniz algebras. The Leibniz algebras are characterized by the property that the multiplication (called a bracket) from the right is a derivation but the bracket no longer is skew-symmetric as for Lie algebras. Further Loday looked for a counterpart of the associative algebras for the Leibniz algebras. The idea is to start with two distinct operations for the products xy, yx, and to consider a vector space D (called an associative dialgebra) endowed by two binary multiplications and satisfying certain “associativity conditions”. The conditions provide the relation mentioned above replacing the Lie algebra and the associative algebra by the Leibniz algebra and the associative dialgebra, respectively. Thus, if (D, , ) is an associative dialgebra, then (D, [x, y]=x y − y x) is a Leibniz algebra. -
The Cycle Polynomial of a Permutation Group
The cycle polynomial of a permutation group Peter J. Cameron and Jason Semeraro Abstract The cycle polynomial of a finite permutation group G is the gen- erating function for the number of elements of G with a given number of cycles: c(g) FG(x)= x , gX∈G where c(g) is the number of cycles of g on Ω. In the first part of the paper, we develop basic properties of this polynomial, and give a number of examples. In the 1970s, Richard Stanley introduced the notion of reciprocity for pairs of combinatorial polynomials. We show that, in a consider- able number of cases, there is a polynomial in the reciprocal relation to the cycle polynomial of G; this is the orbital chromatic polynomial of Γ and G, where Γ is a G-invariant graph, introduced by the first author, Jackson and Rudd. We pose the general problem of finding all such reciprocal pairs, and give a number of examples and charac- terisations: the latter include the cases where Γ is a complete or null graph or a tree. The paper concludes with some comments on other polynomials associated with a permutation group. arXiv:1701.06954v1 [math.CO] 24 Jan 2017 1 The cycle polynomial and its properties Define the cycle polynomial of a permutation group G acting on a set Ω of size n to be c(g) FG(x)= x , g∈G X where c(g) is the number of cycles of g on Ω (including fixed points). Clearly the cycle polynomial is a monic polynomial of degree n. -
New Combinatorial Computational Methods Arising from Pseudo-Singletons Gilbert Labelle
New combinatorial computational methods arising from pseudo-singletons Gilbert Labelle To cite this version: Gilbert Labelle. New combinatorial computational methods arising from pseudo-singletons. 20th Annual International Conference on Formal Power Series and Algebraic Combinatorics (FPSAC 2008), 2008, Viña del Mar, Chile. pp.247-258. hal-01185187 HAL Id: hal-01185187 https://hal.inria.fr/hal-01185187 Submitted on 19 Aug 2015 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. FPSAC 2008, Valparaiso-Vi~nadel Mar, Chile DMTCS proc. AJ, 2008, 247{258 New combinatorial computational methods arising from pseudo-singletons Gilbert Labelley Laboratoire de Combinatoire et d'Informatique Math´ematique,Universit´edu Qu´ebec `aMontr´eal,CP 8888, Succ. Centre-ville, Montr´eal(QC) Canada H3C3P8 Abstract. Since singletons are the connected sets, the species X of singletons can be considered as the combinatorial logarithm of the species E(X) of finite sets. In a previous work, we introduced the (rational) species Xb of pseudo-singletons as the analytical logarithm of the species of finite sets. It follows that E(X) = exp(Xb) in the context of rational species, where exp(T ) denotes the classical analytical power series for the exponential function in the variable T . -
Derivation of the Cycle Index Formula of the Affine Square(Q)
International Journal of Algebra, Vol. 13, 2019, no. 7, 307 - 314 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/ija.2019.9725 Derivation of the Cycle Index Formula of the Affine Square(q) Group Acting on GF (q) Geoffrey Ngovi Muthoka Pure and Applied Sciences Department Kirinyaga University, P. O. Box 143-10300, Kerugoya, Kenya Ireri Kamuti Department of Mathematics and Actuarial Science Kenyatta University, P. O. Box 43844-00100, Nairobi, Kenya Mutie Kavila Department of Mathematics and Actuarial Science Kenyatta University, P. O. Box 43844-00100, Nairobi, Kenya This article is distributed under the Creative Commons by-nc-nd Attribution License. Copyright c 2019 Hikari Ltd. Abstract The concept of the cycle index of a permutation group was discovered by [7] and he gave it its present name. Since then cycle index formulas of several groups have been studied by different scholars. In this study the cycle index formula of an affine square(q) group acting on the elements of GF (q) where q is a power of a prime p has been derived using a method devised by [4]. We further express its cycle index formula in terms of the cycle index formulas of the elementary abelian group Pq and the cyclic group C q−1 since the affine square(q) group is a semidirect 2 product group of the two groups. Keywords: Cycle index, Affine square(q) group, Semidirect product group 308 Geoffrey Ngovi Muthoka, Ireri Kamuti and Mutie Kavila 1 Introduction [1] The set Pq = fx + b; where b 2 GF (q)g forms a normal subgroup of the affine(q) group and the set C q−1 = fax; where a is a non zero square in GF (q)g 2 forms a cyclic subgroup of the affine(q) group under multiplication. -
Rigidity of Some Classes of Lie Algebras in Connection to Leibniz
Rigidity of some classes of Lie algebras in connection to Leibniz algebras Abdulafeez O. Abdulkareem1, Isamiddin S. Rakhimov2, and Sharifah K. Said Husain3 1,3Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia. 1,2,3Laboratory of Cryptography,Analysis and Structure, Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia. Abstract In this paper we focus on algebraic aspects of contractions of Lie and Leibniz algebras. The rigidity of algebras plays an important role in the study of their varieties. The rigid algebras generate the irreducible components of this variety. We deal with Leibniz algebras which are generalizations of Lie algebras. In Lie algebras case, there are different kind of rigidities (rigidity, absolutely rigidity, geometric rigidity and e.c.t.). We explore the relations of these rigidities with Leibniz algebra rigidity. Necessary conditions for a Lie algebra to be Leibniz rigid are discussed. Keywords: Rigid algebras, Contraction and Degeneration, Degeneration invariants, Zariski closure. 1 Introduction In 1951, Segal I.E. [11] introduced the notion of contractions of Lie algebras on physical grounds: if two physical theories (like relativistic and classical mechanics) are related by a limiting process, then the associated invariance groups (like the Poincar´eand Galilean groups) should also be related by some limiting process. If the velocity of light is assumed to go to infinity, relativistic mechanics ”transforms” into classical mechanics. This also induces a singular transition from the Poincar´ealgebra to the Galilean one. Another ex- ample is a limiting process from quantum mechanics to classical mechanics under ~ → 0, arXiv:1708.00330v1 [math.RA] 30 Jul 2017 that corresponds to the contraction of the Heisenberg algebras to the abelian ones of the same dimensions [2]. -
An Introduction to Combinatorial Species
An Introduction to Combinatorial Species Ira M. Gessel Department of Mathematics Brandeis University Summer School on Algebraic Combinatorics Korea Institute for Advanced Study Seoul, Korea June 14, 2016 The main reference for the theory of combinatorial species is the book Combinatorial Species and Tree-Like Structures by François Bergeron, Gilbert Labelle, and Pierre Leroux. What are combinatorial species? The theory of combinatorial species, introduced by André Joyal in 1980, is a method for counting labeled structures, such as graphs. What are combinatorial species? The theory of combinatorial species, introduced by André Joyal in 1980, is a method for counting labeled structures, such as graphs. The main reference for the theory of combinatorial species is the book Combinatorial Species and Tree-Like Structures by François Bergeron, Gilbert Labelle, and Pierre Leroux. If a structure has label set A and we have a bijection f : A B then we can replace each label a A with its image f (b) in!B. 2 1 c 1 c 7! 2 2 a a 7! 3 b 3 7! b More interestingly, it allows us to count unlabeled versions of labeled structures (unlabeled structures). If we have a bijection A A then we also get a bijection from the set of structures with! label set A to itself, so we have an action of the symmetric group on A acting on these structures. The orbits of these structures are the unlabeled structures. What are species good for? The theory of species allows us to count labeled structures, using exponential generating functions. What are species good for? The theory of species allows us to count labeled structures, using exponential generating functions. -
The Twelvefold Way, the Nonintersecting Circles Problem, and Partitions of Multisets
Turkish Journal of Mathematics Turk J Math (2019) 43: 765 – 782 http://journals.tubitak.gov.tr/math/ © TÜBİTAK Research Article doi:10.3906/mat-1805-72 The twelvefold way, the nonintersecting circles problem, and partitions of multisets Toufik MANSOUR1,, Madjid MIRZVAZIRI2, Daniel YAQUBI2;∗ 1Department of Mathematics, University of Haifa, Haifa, Israel 2Department of Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran Received: 14.05.2018 • Accepted/Published Online: 30.01.2019 • Final Version: 27.03.2019 Abstract: Let n be a nonnegative integer and A = fa1; : : : ; akg be a multiset with k positive integers such that a1 6 ··· 6 ak . In this paper, we give a recursive formula for partitions and distinct partitions of positive integer n with respect to a multiset A. We also consider the extension of the twelvefold way. By using this notion, we solve the nonintersecting circles problem, which asks to evaluate the number of ways to draw n nonintersecting circles in the plane regardless of their sizes. The latter also enumerates the number of unlabeled rooted trees with n + 1 vertices. Key words: Multiset, partitions and distinct partitions, twelvefold way, nonintersecting circles problem, rooted trees, Wilf partitions 1. Introduction A partition of n is a sequence λ1 > λ2 > ··· > λk of positive integers such that λ1 + λ2 + ··· + λk = n (see [2]). We write λ ` n to denote that λ is a partition of n. The nonzero integers λ in λ are called parts of λ. P k j j The number of parts of λ is the length of λ, denoted by `(λ), and λ = k>1 λk is the weight of λ. -
3.8 the Cycle Index Polynomial
94 CHAPTER 3. GROUPS AND POLYA THEORY 3.8 The Cycle Index Polynomial Let G be a group acting on a set X. Then as mentioned at the end of the previous section, we need to understand the cycle decomposition of each g G as product of disjoint cycles. ∈ Redfield and Polya observed that elements of G with the same cyclic decomposition made the same contribution to the sets of fixed points. They defined the notion of cycle index polynomial to keep track of the cycle decomposition of the elements of G. Let us start with a few definitions and examples to better understand the use of cycle decomposition of an element of a permutation group. ℓ1 ℓ2 ℓn Definition 3.8.1. A permutation σ n is said to have the cycle structure 1 2 n , if ∈ S t · · · the cycle representation of σ has ℓi cycles of length i, for 1 i n. Observe that i ℓi = n. ≤ ≤ i=1 · Example 3.8.2. 1. Let e be the identity element of . Then e = (1) (2) (nP) and hence Sn · · · the cycle structure of e, as an element of equals 1n. Sn 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 2. Let σ = . Then it can be 3 6 7 10 14 1 2 13 15 4 11 5 8 12 9 ! easily verified that in the cycle notation, σ = (1 3 7 2 6) (4 10) (5 14 12) (8 13) (9 15) (11). Thus, the cycle structure of σ is 11233151. -
BASIC DISCRETE MATHEMATICS Contents 1. Introduction 2 2. Graphs
BASIC DISCRETE MATHEMATICS DAVID GALVIN, DEPARTMENT OF MATHEMATICS, UNIVERSITY OF NOTRE DAME Abstract. This document includes lecture notes, homework and exams from the Spring 2017 incarnation of Math 60610 | Basic Discrete Mathematics, a graduate course offered by the Department of Mathematics at the University of Notre Dame. The notes have been written in a single pass, and as such may well contain typographical (and sometimes more substantial) errors. Comments and corrections will be happily received at [email protected]. Contents 1. Introduction 2 2. Graphs and trees | basic definitions and questions 3 3. The extremal question for trees, and some basic properties 5 4. The enumerative question for trees | Cayley's formula 6 5. Proof of Cayley's formula 7 6. Pr¨ufer's proof of Cayley 12 7. Otter's formula 15 8. Some problems 15 9. Some basic counting problems 18 10. Subsets of a set 19 11. Binomial coefficient identities 20 12. Some problems 25 13. Multisets, weak compositions, compositions 30 14. Set partitions 32 15. Some problems 37 16. Inclusion-exclusion 39 17. Some problems 45 18. Partitions of an integer 47 19. Some problems 49 20. The Twelvefold way 49 21. Generating functions 51 22. Some problems 59 23. Operations on power series 61 24. The Catalan numbers 62 25. Some problems 69 26. Some examples of two-variable generating functions 70 27. Binomial coefficients 71 28. Delannoy numbers 71 29. Some problems 74 30. Stirling numbers of the second kind 76 Date: Spring 2017; version of December 13, 2017. 1 2 DAVID GALVIN, DEPARTMENT OF MATHEMATICS, UNIVERSITY OF NOTRE DAME 31. -
Deformations of Bimodule Problems
FUNDAMENTA MATHEMATICAE 150 (1996) Deformations of bimodule problems by Christof G e i ß (M´exico,D.F.) Abstract. We prove that deformations of tame Krull–Schmidt bimodule problems with trivial differential are again tame. Here we understand deformations via the structure constants of the projective realizations which may be considered as elements of a suitable variety. We also present some applications to the representation theory of vector space categories which are a special case of the above bimodule problems. 1. Introduction. Let k be an algebraically closed field. Consider the variety algV (k) of associative unitary k-algebra structures on a vector space V together with the operation of GlV (k) by transport of structure. In this context we say that an algebra Λ1 is a deformation of the algebra Λ0 if the corresponding structures λ1, λ0 are elements of algV (k) and λ0 lies in the closure of the GlV (k)-orbit of λ1. In [11] it was shown, us- ing Drozd’s tame-wild theorem, that deformations of tame algebras are tame. Similar results may be expected for other classes of problems where Drozd’s theorem is valid. In this paper we address the case of bimodule problems with trivial differential (in the sense of [4]); here we interpret defor- mations via the structure constants of the respective projective realizations. Note that the bimodule problems include as special cases the representa- tion theory of finite-dimensional algebras ([4, 2.2]), subspace problems (4.1) and prinjective modules ([16, 1]). We also discuss some examples concerning subspace problems. -
For a = Zg(O). (Iii) the Morphism (100) Is Autk-Equivariant. We
HITCHIN’S INTEGRABLE SYSTEM 101 (ii) The composition zg(K) → Z → zg(O) is the morphism (97) for A = zg(O). (iii) The morphism (100) is Aut K-equivariant. We will not prove this theorem. In fact, the only nontrivial statement is that (99) (or equivalently (34)) is a ring homomorphism; see ???for a proof. The natural approach to the above theorem is based on the notion of VOA (i.e., vertex operator algebra) or its geometric version introduced in [BD] under the name of chiral algebra.21 In the next subsection (which can be skipped by the reader) we outline the chiral algebra approach. 3.7.6. A chiral algebra on a smooth curve X is a (left) DX -module A equipped with a morphism ! (101) j∗j (A A) → ∆∗A where ∆ : X→ X × X is the diagonal, j :(X × X) \ ∆(X) → X. The morphism (101) should satisfy certain axioms, which will not be stated here. A chiral algebra is said to be commutative if (101) maps A A to 0. Then (101) induces a morphism ∆∗(A⊗A)=j∗j!(A A)/A A→∆∗A or, which is the same, a morphism (102) A⊗A→A. In this case the chiral algebra axioms just mean that A equipped with the operation (102) is a commutative associative unital algebra. So a commutative chiral algebra is the same as a commutative associative unital D D X -algebra in the sense of 2.6. On the other hand, the X -module VacX corresponding to the Aut O-module Vac by 2.6.5 has a natural structure of → chiral algebra (see the Remark below). -
Combinatorics—
The Ohio State University October 10, 2016 Combinatorics | 1 Functions and sets Enumerative combinatorics (or counting), at its heart, is all about finding functions between different sets in such a way that reveals their size. A little combinatorics goes a long way: you'll probably run into it in every discipline that involves numbers. Beyond numbers and sets, there is not much additional formal theory needed to get started. For sets A and B; a function f : A ! B is any assignment of elements of B defined for every element of A: All f needs to do to be a function from A to B is that there is a rule defined for obtaining f(a) 2 B for every element of a 2 A: In some situations, it can be non-obvious that a rule in unambiguous (we will see examples), in which case it may be necessary to prove that f is well-defined. We will be interested in counting, which motivates the following three definitions. Definition 1: A function f : A ! B is injective if and only if for all x; y 2 A; f(x) = f(y) ) x = y: These are sometimes called one-to-one functions. Think of injective functions as rules for placing A inside of B in such a way that we can undo our steps. Lemma 1: A function f : A ! B is injective if and only if there is a function g : B ! A so that 8x 2 A g(f(x)) = x: This function g is called a left-inverse for f Proof.