5. Group Theory. Symmetry Groups of Molecules
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Chapter 4. Homomorphisms and Isomorphisms of Groups
Chapter 4. Homomorphisms and Isomorphisms of Groups 4.1 Note: We recall the following terminology. Let X and Y be sets. When we say that f is a function or a map from X to Y , written f : X ! Y , we mean that for every x 2 X there exists a unique corresponding element y = f(x) 2 Y . The set X is called the domain of f and the range or image of f is the set Image(f) = f(X) = f(x) x 2 X . For a set A ⊆ X, the image of A under f is the set f(A) = f(a) a 2 A and for a set −1 B ⊆ Y , the inverse image of B under f is the set f (B) = x 2 X f(x) 2 B . For a function f : X ! Y , we say f is one-to-one (written 1 : 1) or injective when for every y 2 Y there exists at most one x 2 X such that y = f(x), we say f is onto or surjective when for every y 2 Y there exists at least one x 2 X such that y = f(x), and we say f is invertible or bijective when f is 1:1 and onto, that is for every y 2 Y there exists a unique x 2 X such that y = f(x). When f is invertible, the inverse of f is the function f −1 : Y ! X defined by f −1(y) = x () y = f(x). For f : X ! Y and g : Y ! Z, the composite g ◦ f : X ! Z is given by (g ◦ f)(x) = g(f(x)). -
Group Homomorphisms
1-17-2018 Group Homomorphisms Here are the operation tables for two groups of order 4: · 1 a a2 + 0 1 2 1 1 a a2 0 0 1 2 a a a2 1 1 1 2 0 a2 a2 1 a 2 2 0 1 There is an obvious sense in which these two groups are “the same”: You can get the second table from the first by replacing 0 with 1, 1 with a, and 2 with a2. When are two groups the same? You might think of saying that two groups are the same if you can get one group’s table from the other by substitution, as above. However, there are problems with this. In the first place, it might be very difficult to check — imagine having to write down a multiplication table for a group of order 256! In the second place, it’s not clear what a “multiplication table” is if a group is infinite. One way to implement a substitution is to use a function. In a sense, a function is a thing which “substitutes” its output for its input. I’ll define what it means for two groups to be “the same” by using certain kinds of functions between groups. These functions are called group homomorphisms; a special kind of homomorphism, called an isomorphism, will be used to define “sameness” for groups. Definition. Let G and H be groups. A homomorphism from G to H is a function f : G → H such that f(x · y)= f(x) · f(y) forall x,y ∈ G. -
Arxiv:2003.06292V1 [Math.GR] 12 Mar 2020 Eggnrtr N Ignlmti.Tedaoa Arxi Matrix Diagonal the Matrix
ALGORITHMS IN LINEAR ALGEBRAIC GROUPS SUSHIL BHUNIA, AYAN MAHALANOBIS, PRALHAD SHINDE, AND ANUPAM SINGH ABSTRACT. This paper presents some algorithms in linear algebraic groups. These algorithms solve the word problem and compute the spinor norm for orthogonal groups. This gives us an algorithmic definition of the spinor norm. We compute the double coset decompositionwith respect to a Siegel maximal parabolic subgroup, which is important in computing infinite-dimensional representations for some algebraic groups. 1. INTRODUCTION Spinor norm was first defined by Dieudonné and Kneser using Clifford algebras. Wall [21] defined the spinor norm using bilinear forms. These days, to compute the spinor norm, one uses the definition of Wall. In this paper, we develop a new definition of the spinor norm for split and twisted orthogonal groups. Our definition of the spinornorm is rich in the sense, that itis algorithmic in nature. Now one can compute spinor norm using a Gaussian elimination algorithm that we develop in this paper. This paper can be seen as an extension of our earlier work in the book chapter [3], where we described Gaussian elimination algorithms for orthogonal and symplectic groups in the context of public key cryptography. In computational group theory, one always looks for algorithms to solve the word problem. For a group G defined by a set of generators hXi = G, the problem is to write g ∈ G as a word in X: we say that this is the word problem for G (for details, see [18, Section 1.4]). Brooksbank [4] and Costi [10] developed algorithms similar to ours for classical groups over finite fields. -
18.703 Modern Algebra, Presentations and Groups of Small
12. Presentations and Groups of small order Definition-Lemma 12.1. Let A be a set. A word in A is a string of 0 elements of A and their inverses. We say that the word w is obtained 0 from w by a reduction, if we can get from w to w by repeatedly applying the following rule, −1 −1 • replace aa (or a a) by the empty string. 0 Given any word w, the reduced word w associated to w is any 0 word obtained from w by reduction, such that w cannot be reduced any further. Given two words w1 and w2 of A, the concatenation of w1 and w2 is the word w = w1w2. The empty word is denoted e. The set of all reduced words is denoted FA. With product defined as the reduced concatenation, this set becomes a group, called the free group with generators A. It is interesting to look at examples. Suppose that A contains one element a. An element of FA = Fa is a reduced word, using only a and a−1 . The word w = aaaa−1 a−1 aaa is a string using a and a−1. Given any such word, we pass to the reduction w0 of w. This means cancelling as much as we can, and replacing strings of a’s by the corresponding power. Thus w = aaa −1 aaa = aaaa = a 4 = w0 ; where equality means up to reduction. Thus the free group on one generator is isomorphic to Z. The free group on two generators is much more complicated and it is not abelian. -
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. -
Some Remarks on Semigroup Presentations
SOME REMARKS ON SEMIGROUP PRESENTATIONS B. H. NEUMANN Dedicated to H. S. M. Coxeter 1. Let a semigroup A be given by generators ai, a2, . , ad and defining relations U\ — V\yu2 = v2, ... , ue = ve between these generators, the uu vt being words in the generators. We then have a presentation of A, and write A = sgp(ai, . , ad, «i = vu . , ue = ve). The same generators with the same relations can also be interpreted as the presentation of a group, for which we write A* = gpOi, . , ad\ «i = vu . , ue = ve). There is a unique homomorphism <£: A—* A* which maps each generator at G A on the same generator at G 4*. This is a monomorphism if, and only if, A is embeddable in a group; and, equally obviously, it is an epimorphism if, and only if, the image A<j> in A* is a group. This is the case in particular if A<j> is finite, as a finite subsemigroup of a group is itself a group. Thus we see that A(j> and A* are both finite (in which case they coincide) or both infinite (in which case they may or may not coincide). If A*, and thus also Acfr, is finite, A may be finite or infinite; but if A*, and thus also A<p, is infinite, then A must be infinite too. It follows in particular that A is infinite if e, the number of defining relations, is strictly less than d, the number of generators. 2. We now assume that d is chosen minimal, so that A cannot be generated by fewer than d elements. -
Knapsack Problems in Groups
MATHEMATICS OF COMPUTATION Volume 84, Number 292, March 2015, Pages 987–1016 S 0025-5718(2014)02880-9 Article electronically published on July 30, 2014 KNAPSACK PROBLEMS IN GROUPS ALEXEI MYASNIKOV, ANDREY NIKOLAEV, AND ALEXANDER USHAKOV Abstract. We generalize the classical knapsack and subset sum problems to arbitrary groups and study the computational complexity of these new problems. We show that these problems, as well as the bounded submonoid membership problem, are P-time decidable in hyperbolic groups and give var- ious examples of finitely presented groups where the subset sum problem is NP-complete. 1. Introduction 1.1. Motivation. This is the first in a series of papers on non-commutative discrete (combinatorial) optimization. In this series we propose to study complexity of the classical discrete optimization (DO) problems in their most general form — in non- commutative groups. For example, DO problems concerning integers (subset sum, knapsack problem, etc.) make perfect sense when the group of additive integers is replaced by an arbitrary (non-commutative) group G. The classical lattice problems are about subgroups (integer lattices) of the additive groups Zn or Qn, their non- commutative versions deal with arbitrary finitely generated subgroups of a group G. The travelling salesman problem or the Steiner tree problem make sense for arbitrary finite subsets of vertices in a given Cayley graph of a non-commutative infinite group (with the natural graph metric). The Post correspondence problem carries over in a straightforward fashion from a free monoid to an arbitrary group. This list of examples can be easily extended, but the point here is that many classical DO problems have natural and interesting non-commutative versions. -
Stabilizers of Lattices in Lie Groups
Journal of Lie Theory Volume 4 (1994) 1{16 C 1994 Heldermann Verlag Stabilizers of Lattices in Lie Groups Richard D. Mosak and Martin Moskowitz Communicated by K. H. Hofmann Abstract. Let G be a connected Lie group with Lie algebra g, containing a lattice Γ. We shall write Aut(G) for the group of all smooth automorphisms of G. If A is a closed subgroup of Aut(G) we denote by StabA(Γ) the stabilizer of Γ n n in A; for example, if G is R , Γ is Z , and A is SL(n;R), then StabA(Γ)=SL(n;Z). The latter is, of course, a lattice in SL(n;R); in this paper we shall investigate, more generally, when StabA(Γ) is a lattice (or a uniform lattice) in A. Introduction Let G be a connected Lie group with Lie algebra g, containing a lattice Γ; so Γ is a discrete subgroup and G=Γ has finite G-invariant measure. We shall write Aut(G) for the group of all smooth automorphisms of G, and M(G) = α Aut(G): mod(α) = 1 for the group of measure-preserving automorphisms off G2 (here mod(α) is thegcommon ratio measure(α(F ))/measure(F ), for any measurable set F G of positive, finite measure). If A is a closed subgroup ⊂ of Aut(G) we denote by StabA(Γ) the stabilizer of Γ in A, in other words α A: α(Γ) = Γ . The main question of this paper is: f 2 g When is StabA(Γ) a lattice (or a uniform lattice) in A? We point out that the thrust of this question is whether the stabilizer StabA(Γ) is cocompact or of cofinite volume, since in any event, in all cases of interest, the stabilizer is discrete (see Prop. -
Crystal Symmetry Groups
X-Ray and Neutron Crystallography rational numbers is a group under Crystal Symmetry Groups multiplication, and both it and the integer group already discussed are examples of infinite groups because they each contain an infinite number of elements. ymmetry plays an important role between the integers obey the rules of In the case of a symmetry group, in crystallography. The ways in group theory: an element is the operation needed to which atoms and molecules are ● There must be defined a procedure for produce one object from another. For arrangeds within a unit cell and unit cells example, a mirror operation takes an combining two elements of the group repeat within a crystal are governed by to form a third. For the integers one object in one location and produces symmetry rules. In ordinary life our can choose the addition operation so another of the opposite hand located first perception of symmetry is what that a + b = c is the operation to be such that the mirror doing the operation is known as mirror symmetry. Our performed and u, b, and c are always is equidistant between them (Fig. 1). bodies have, to a good approximation, elements of the group. These manipulations are usually called mirror symmetry in which our right side ● There exists an element of the group, symmetry operations. They are com- is matched by our left as if a mirror called the identity element and de- bined by applying them to an object se- passed along the central axis of our noted f, that combines with any other bodies. -
Categories, Functors, and Natural Transformations I∗
Lecture 2: Categories, functors, and natural transformations I∗ Nilay Kumar June 4, 2014 (Meta)categories We begin, for the moment, with rather loose definitions, free from the technicalities of set theory. Definition 1. A metagraph consists of objects a; b; c; : : :, arrows f; g; h; : : :, and two operations, as follows. The first is the domain, which assigns to each arrow f an object a = dom f, and the second is the codomain, which assigns to each arrow f an object b = cod f. This is visually indicated by f : a ! b. Definition 2. A metacategory is a metagraph with two additional operations. The first is the identity, which assigns to each object a an arrow Ida = 1a : a ! a. The second is the composition, which assigns to each pair g; f of arrows with dom g = cod f an arrow g ◦ f called their composition, with g ◦ f : dom f ! cod g. This operation may be pictured as b f g a c g◦f We require further that: composition is associative, k ◦ (g ◦ f) = (k ◦ g) ◦ f; (whenever this composition makese sense) or diagrammatically that the diagram k◦(g◦f)=(k◦g)◦f a d k◦g f k g◦f b g c commutes, and that for all arrows f : a ! b and g : b ! c, we have 1b ◦ f = f and g ◦ 1b = g; or diagrammatically that the diagram f a b f g 1b g b c commutes. ∗This talk follows [1] I.1-4 very closely. 1 Recall that a diagram is commutative when, for each pair of vertices c and c0, any two paths formed from direct edges leading from c to c0 yield, by composition of labels, equal arrows from c to c0. -
Abstract Algebra
Abstract Algebra Paul Melvin Bryn Mawr College Fall 2011 lecture notes loosely based on Dummit and Foote's text Abstract Algebra (3rd ed) Prerequisite: Linear Algebra (203) 1 Introduction Pure Mathematics Algebra Analysis Foundations (set theory/logic) G eometry & Topology What is Algebra? • Number systems N = f1; 2; 3;::: g \natural numbers" Z = f:::; −1; 0; 1; 2;::: g \integers" Q = ffractionsg \rational numbers" R = fdecimalsg = pts on the line \real numbers" p C = fa + bi j a; b 2 R; i = −1g = pts in the plane \complex nos" k polar form re iθ, where a = r cos θ; b = r sin θ a + bi b r θ a p Note N ⊂ Z ⊂ Q ⊂ R ⊂ C (all proper inclusions, e.g. 2 62 Q; exercise) There are many other important number systems inside C. 2 • Structure \binary operations" + and · associative, commutative, and distributive properties \identity elements" 0 and 1 for + and · resp. 2 solve equations, e.g. 1 ax + bx + c = 0 has two (complex) solutions i p −b ± b2 − 4ac x = 2a 2 2 2 2 x + y = z has infinitely many solutions, even in N (thei \Pythagorian triples": (3,4,5), (5,12,13), . ). n n n 3 x + y = z has no solutions x; y; z 2 N for any fixed n ≥ 3 (Fermat'si Last Theorem, proved in 1995 by Andrew Wiles; we'll give a proof for n = 3 at end of semester). • Abstract systems groups, rings, fields, vector spaces, modules, . A group is a set G with an associative binary operation ∗ which has an identity element e (x ∗ e = x = e ∗ x for all x 2 G) and inverses for each of its elements (8 x 2 G; 9 y 2 G such that x ∗ y = y ∗ x = e). -
SUMMARY of PART II: GROUPS 1. Motivation and Overview 1.1. Why
SUMMARY OF PART II: GROUPS 1. Motivation and overview 1.1. Why study groups? The group concept is truly fundamental not only for algebra, but for mathematics in general, as groups appear in mathematical theories as diverse as number theory (e.g. the solutions of Diophantine equations often form a group), Galois theory (the solutions(=roots) of a polynomial equation may satisfy hidden symmetries which can be put together into a group), geometry (e.g. the isometries of a given geometric space or object form a group) or topology (e.g. an important tool is the fundamental group of a topological space), but also in physics (e.g. the Lorentz group which in concerned with the symmetries of space-time in relativity theory, or the “gauge” symmetry group of the famous standard model). Our task for the course is to understand whole classes of groups—mostly we will concentrate on finite groups which are already very difficult to classify. Our main examples for these shall be the cyclic groups Cn, symmetric groups Sn (on n letters), the alternating groups An and the dihedral groups Dn. The most “fundamental” of these are the symmetric groups, as every finite group can be embedded into a certain finite symmetric group (Cayley’s Theorem). We will be able to classify all groups of order 2p and p2, where p is a prime. We will also find structure results on subgroups which exist for a given such group (Cauchy’s Theorem, Sylow Theorems). Finally, abelian groups can be controlled far easier than general (i.e., possibly non-abelian) groups, and we will give a full classification for all such abelian groups, at least when they can be generated by finitely many elements.