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Words for maximal Subgroups of Fi24

  • Faisal Yasin , Adeel Farooq and Chahn Yong Jung EMAIL logo
Published/Copyright: December 31, 2019

Abstract

Group Theory is the mathematical application of symmetry to an object to obtain knowledge of its physical properties. The symmetry of a molecule provides us with the various information, such as - orbitals energy levels, orbitals symmetries, type of transitions than can occur between energy levels, even bond order, all that without rigorous calculations. The fact that so many important physical aspects can be derived from symmetry is a very profound statement and this is what makes group theory so powerful. In group theory, a finite group is a mathematical group with a finite number of elements. A group is a set of elements together with an operation which associates, to each ordered pair of elements, an element of the set. In the case of a finite group, the set is finite. The Fischer groups Fi22, Fi23 and Fi24 are introduced by Bernd Fischer and there are 25 maximal subgroups of Fi24. It is an open problem to find the generators of maximal subgroups of Fi24. In this paper we provide the generators of 10 maximal subgroups of Fi24.

1 Introduction

Group Theory is the mathematical application of symmetry to an object to obtain knowledge of its physical properties, providing a quick and simple method to determine the relevant physical information about the molecule [1]. The symmetry of a molecule provides information on what the energy levels of the orbitals will be, what the orbitals symmetries are, what transitions can occur between energy levels, and even bond order to name a few can be found, all without rigorous calculations [2]. The fact that so many important physical aspects can be derived from symmetry is a very profound statement and this is what makes group theory so powerful [3,4].

The allocated point groups would then be able to be utilized to decide physical properties, (for example, concoction extremity and chirality), spectroscopic properties (especially valuable for Raman spectroscopy, infrared spectroscopy, round dichroism spectroscopy, mangnatic dichroism spectroscopy, UV/Vis spectroscopy, and fluorescence spectroscopy), and to build sub-atomic orbitals. Sub-atomic symmetry is in charge of numerous physical and spectroscopic properties of compounds and gives important data about how chemical reaction happen. So as to appoint a point group for some random atom, it is important to locate the arrangement of symmetry activities present on it [5,6]. The symmetry activity is an activity, for example, a rotation about an axis or a reflection through a mirror plane. It is a task that moves the particle with the end goal that it is undefined from the first setup. In group theory, the rotation axis and mirror planes are classified “symmetry components”. These components can be a point, line or plane concerning which the symmetry task is done. The symmetry activities of a particle decide the particular point aggregate for this atom. Water atom with symmetry axis in chemistry, there are five critical symmetry tasks. The identity operation (E) comprises of leaving the atom as it is. This is equivalent to any number of full turns around any axis. This is a symmetry all things considered, though the symmetry group of a chiral atom comprises of just the indentity operation. Rotation around an axis (Cn) comprises of pivoting the atoms around a particular axis by a particular point. For instance, if a water particle turns 180° around the axis that goes through the oxygen molecule and between the hydrogen atoms, it is in same configration from it began. For this situation, n = 2, since applying it twice creates the identity operation. Other symmetry tasks are: reflection, reversal and improper revolution (rotation followed by reflection) [7,8,9].

In abstract algebra and mathematics group theory studies the algebraic structures known as groups [10,11,12,13]. The idea of a group is central to abstract algebra:

other well-known algebraic structures, for example rings, fields, and vector spaces, are all able to be viewed as groups supplied with extra axioms and operations. Groups repeat all mathematics, and the techniques for group theory have affected numerous parts of algebra. Lie groups and linear abstract groups are two branches of group theory that have encountered progresses and have turned out to be branches of knowledge in their own right. Different physical frameworks, for example hydrogen atoms and the crystals, might be displayed by symmetry groups. In this manner group theory and the firmly related representation theory have numerous vital applications in physical science, general science and material sciences. Group theory is additionally key to open key cryptography [14,15,16,17,18,19,20]. The general numerical meaning of a group can be connected to phenomena occurring in a wide range of disciplines. A sporadic group is one of the 26 remarkable groups found in the characterization of finite simple groups. A simple group is a group, G that does not have any normal subgroups aside from the trivial group and G itself. The classification theorem says that the list of finite simple groups comprises of 18 countably infinite families, in addition to 26 exemptions that donot take after such a systematic pattern. These are the sporadic groups. They are otherwise called the sporadic basic groups, or the sporadic finite groups. Since it isnot entirely a group of Lie type, the Tits group is sometimes viewed as a sporadic group, in which case the sporadic group number 27.

The three sporadic simple groups are the Fischer groups introduced by Bernd Fischer in [21], and denoted as Fi22, Fi23 and Fi24. Bernd Fischer discovered Fischer groups when he was investigating three-transposition groups and these groups have the following special properties:

  1. Fischer groups are generated by conjugacy class of elements having order 2, which is called 3-transpositions or Fischer transpositions.

  2. For any two distinct transpositions, the product has order 2 or 3.

Due to these interesting properties these groups have been studied extensively and many papers have been written on them. A typical example of a 3-transposition group is a symmetric group [22], where the Fischer transpositions are truly transpositions. The symmetric group Sn can be generated by n-1 transpositions: (12),(23),..., (n-1,n).

Fischer could characterize 3-transposition groups that fulfill certain additional specialized conditions. The groups he discovered fell generally into a few infinite classes (other than symmetric groups: symmetrical groups, unitary, and certain classes of symplectic groups), however he also discovered 3 large groups. These groups are generally alluded to as Fi22, Fi23 and Fi24. The Fi22, Fi23 are simple groups while Fi24 contains the simple group Fi24 of index 2.

A beginning stage for the Fischer groups is the unitary gathering PSU6 (2), which can be thought of as group among 3 Fischer groups, having order 9,196,830,720=215.36.5.7.11. In fact it is the double cover 2.PSU6(2) that turns into a subgroup of a new group. This is stabilizer of one vertex in a graph of 3510(=2.33.5.13). These vertices are recognized as conjugate 3-transpositions in Fi22 of the graph.

The Fischer groups are named by similarity with the substantial Mathieu groups. A maximal set, in Fi22 of 3-transpositions all computing with each other has size 22 and is known as a basic set. There are 1024 3-transpositions, that donot compute with any in the specific basic set called anabasic. Any of other 2364, computes with 6 basic sets is called hexadic. The arrangements of 6 produce a S(3,6,22) called a Steiner system, which contains the symmetric group M22. An abelian group of order 210 is generated by a basic set which stretches out in to a subgroup 210:M22. Chang Choi [23] found all the maximal subgroups of M24. The maximal subgroups of HS and McL groups were discovered by Spyros Magliveras [24] and Lerry Finkelstein [25]. Finkelstein then worked with Arunas Rudvalis to target the maximal subgroups of J2 [26] and J3 [27]. Gerard Enright completed his thesis in 1977 under the supervision of Conway, in which he discussed the subgroups of the Fischer groups Fi22 and Fi23 generated by transpositions [28]. The local and non-local subgroups of Fi22, Fi23 and Fi24 are given in [29]. In 1990, Steve Linton determined the maximal subgroups of Th, Fi24 and its automorphism groups. He completely discussed the maximal subgroups in [30,31]. In 1999, Wilson constructed the maximal subgroups of B [32]. Recently Wilson has updated the list of maximal subgroups of the Monster Group. There are still some undetermined cases. To date there are 44 maximal subgroups of Monster and its standard generators are given in [33]. The concept of standard generators for sporadic simple groups was introduced by R. A. Wilson [34]. He started a project known as online version of Atlas, which would provide not only representations (matrix and permutation) but also words for the maximal subgroups of simple and almost simple groups. The words for the maximal subgroups of M12.2, M22.2, HS.2, McL.2, J2.2, Suz.2, He.2, Fi22.2, HN.2 and Fi24 are dicussed in [35]. In 2001, John N. Bray worked on the maximal subgroups of sporadic simple groups of order less than 1014. In [36] he presents a complete list by providing words for the maximal subgroups of 17 sporadic simple groups which includes M11, M12, J1, M22, J2, J3, Ru, O‘N, Co3, HS, McL, Suz, He, Fi24, Co2, M24, M23 and Fi22. Words for maximal subgroups of these groups are given on world-wide-web [37].

The Fischer group Fi24, is one of the 26 sporadic simple groups which occur in the classification of finite simple groups. There are 25 maximal subgroups of the group Fi24 [33,37]. The maximal subgroups of Fi24 are given below.

*Fi23*2.Fi22.2*(3×08(3):3):2*010(2)*37.07(3)*31+10:U5(2):2*211.M2426.U6(2):S3*21+12:3.U4(3).2*32+4+8.(A5×2A4).2313:(L3(3)×2)*(A4×08(2):3):2He:2(twocopies)23+12.(L3(2)×A6)26+8.(S3×A8)(G2(3)×32:2).2(A9×A5):2L2(8):3×A6A7×7:6U3(3):2L213:2F406=29:14

Here we provide words for maximal subgroups which are marked by the * above. In some cases we have been able to reduce the length of words involved. The normalizers of certain subgroups which are the crux of the matter here were computed by the methods given in [35,38].We have used GAP[39] and MAGMA [40] for computations and our notation follows [37].

2 Methods to find words for the Maximal subgroups for Fischer group

2.1 Trawling

This method can be used to find the words for the maximal subgroups of sporadic simple group. This method works only for easy cases or large order subgroups where it is not possible to generate all the desired maximal subgroups. The generators found with this method are not standard generators and involves the following steps.

  1. First we fix any element of G, say aG, we call this fixed element as the first generator of the desired maximal subgroup.

  2. Now for each different element of G, say μG if <a, μ>, is the required proper subgroup then stop otherwise go to the step 1.

The words usually found with this technique are short words. Using this technique we found words for Fi23 (maximal subgroup of Fi24 ). Words for Fi23 are given in section 3.

2.2 Maximal subgroups by Conjugacy Classes

This method is often used when we are searching for the standard generators of the maximal subgroup. This method involves the following steps.

  1. First we have to find out the right conjugacy classes in which our required maximal subgroup lies.

  2. Next we find the corresponding conjugacy classes of the parent group by using class fusion from maximal subgroup to the parent group. The probability of finding the standard generators depends on the size of the conjugacy classes involved. Let G1 and G2 be the conjugacy classes of G with a,a1G and b,b1G the probability that (a, b, ab) is conjugate to (a1, b1, a1b1) is p=|cG(x1)||cG(x2)||G|. This method is more efficient when we are working with small conjugacy classes. Using this technique we found words for O10 (2) (maximal subgroup of Fi24 ). The computational detail is given in section 3.

2.3 Maximal subgroups by construction

This method is laboriousand involves different stages during construction while we are searching for the desired maximal subgroup. We have used this method only when the subgroup cannot be easily generated by random searching. Here we mention some of the cases which can be generated by construction.

The maximal subgroups which we are looking for usually occur as a normalizer or centralizer of some elementary abelian groups. The centralizer and normalizers are computed by the methods given in [18,21]. Here we mention those cases in which we need to calculate the normalizer or centralizer. The maximal subgroup 31+10:U5 (2):2 is the normalizer of an element of class 3A i.e., 31+10:U5 (2):2=N(3A). Similarly 37.O7 (3)=N(37), 21+12:3.U4 (3).2=N(2B), 211.M24=N(211), 2.Fi2.2=N(2A), (3×O8 (3):3):2=N(3A2) and (A4×O8 (2):3):2=N(2A2).

3 Main Results

In this section we provide words for 31+10:U5 (2):2, 31+10:U5 (2):2, 37.O7 (3), 21+12:3.U4 (3).2, 211.M24, 2.Fi22.2, (3×O8 (3):3):2, Fi23, O10 (2) and (A4×O8 (2):3):2. In some cases we reduce the length of the words where possible.

3.1 Construction of Fi23 inside Fi24

The words for Fischer group (Fi23) are found by trawling. Before computing the words for Fi23 we give some random elements.

a1=ab5bab6ba2=a112b1=abb2=abab3=ababb4=babb5=babba

The words for Fi23 are given by a2 and c1=b1b2b3b4b52.

3.2 Construction of 31+10:U5 (2):2 inside Fi24

From Atlas [37], the maximal subgroup under consideration is the normalizer of an element of conjugacy class 3A. This group is constructed in three steps summerized underneath.

3.2.1 Step 1

Firstly, we compute an element of class 3A. For that we give some words of Fi24 given below.

a1=ab5bab6bb1=abb2=abab3=ababb4=babb5=babbac1=b1b2b3b4b52c2=b1b2b32b43b5c3=b1b2b33b42b52c4=b1b2b34b4b52c5=b1b2b34b4b53c6=b1b2b34b44b52

At that point utilizing the power maps to discover a elements of order 3 and afterward check its centralizer order which affirms that the element belongs to class 3A i.e., a2=a112.

3.2.2 Step 2

In this progression we will compute the normalizer of a2 inside Fi24. The normalizer can be found by utilizing the method given in [18] for example we build the partial normalizer of a2 inside various subgroups of Fi24. At that point consolidating these incomplete normalizers to get the necessary normalizer. The calculations of these normalizers are given beneath.

Consider the group H1=<a2,c3>, then compute the normalizer of a2 inside H1. Before computations, we will provide some words of H1, which will facilitate the computations. These words are given by

d1=a2c3d2=a2c3a2d3=a2c3a2c3

Next we use the “TKnormalizertest” given by Simon [15] to compute the words for the partial normalizer of a2 inside H1. These elements of the normalizer of a2 inside H1 is given by

e1=(a2d1)3(a2d12)2

Find an involution inside the above calculated partial normalizer. This involution is given by f1=e12. Now consider H2=<a2,f1>and in a similar way, we compute normalizer of a2 inside H2.

f2[f1,a]3f3=[f1,b]6f4=[f1,ab]12f5=[f1,aba]10f6=abab[f1,abab]13f7=[f1,ababa]21f8=f2f3f9=f2f4f10=f2f5f11=f2f6f12=f2f7

The words for the partial normalizer are given by.

g1=a2f62a2f67a2f64a2f67a2f62g2=a2f65a2f66a2f63a2f66a2f64g3=a2f66a2f63a2f63a2f63a2f66
g4=a2f67a2f62a2f65a2f62a2f67g5=a2f102a2f104a2f106a2f104a2f102g6=f3f113f3f1110f3f116f3f113f3f1110

Find the centralizer of g6. The words for the Centralizer of g6 are given by.

h1=g6,a3h2=g6,b6h3=g6,ab14h4=g6,aba9h5=g6,abab13h6=ababbg6,ababb19h7=h1h2h8=h1h3h9=h1h4

Next we find the partial normalizer of a2 inside the above calculated entralizer. The words for the partial normalizer are given below.

g7=h1h69h1h611h1h63h1h65h1h68g8=h3h74h3h73h3h76h3h72h3h75g9=h3h74h3h77h3h76h3h72h3h7

Now consolidating the above normalizers will gives us the words for 31+10:U5 (2):2 given by g1g2 and g7.

3.3 Construction of O10(2) inside Fi24

Following Atlas we found this group inside the conjugacy classes of 2A, 7A and 11A. Before computations we give some random elements.

x1=abx2=abax3=ababx4=babx5=bababx6=ababababx7=bababab

Then using power maps the elements of class 7A and 11A are given by x8 and x9 respectively.

x8=((ab)3(ba)4b(ba)3b(ba)5bb)3x9=((ab)6(ba)4b(ba)5bb)2

The words for O10(2) are given by a and y11=x9x1x2x3x410x52x64.

3.4 Construction of 32+4+8.(A5×2A4).2 and 37.O7 (3) inside Fi24

Following Atlas 37.O7 (3)=N(37). Here first we find an element of order 3. This element is given by a1=((ab)4b(ab)6b)4.

Then we find the centralizer of a1 inside Fi24. This can be constructed by the technique given in [18].

e7=d1d22d36d45d5f1=a1e4k1=a1f13a1f152k2=a1f12a1f13a1f14a1f12f4=a1e3k3=a1f43a1f45a1f44f5=a1e7f6=a1e7a1f7=a1e7a1e7f8=e7a1e7b1=a1a23a1a25a1a24k4=a1f6113a1f6222

The generators for the elementary abelian group of order 2187 are given by

g1=(k4k3k4k2k1k3k2k3)7g2=(k4k3k4k2k1k3k2k3k4)5g4=(k4k3k4k2k1k3k2k3k4k3)5g5=(k3k4k2k1k3k2k3k4k3k4)5g12=(k4k2k3(k4k3)7k4)4g14=(k4k2(k3k4)7k3)5g17=(k4k2(k3k4)9k3k2)5

Next we just compute the normalizer of H=<g1,g2,g4,g5,g12g14,g17>which is the required maximal subgroup 37.O7 (3). The normalizer can be computed by the method given in [37] i.e., first we find a single involution and then searching inside this involution centralizer the partial normalizer of H

h1=g1al1=(g1h1)3g1h15g1h14

The involution is given by l2=l13. The generators for the Centralizer of l2 are given below.

m1=[l2,b]3m2=[l2,ab]3m3=[l2,aba]3m4=[l2,abab]2m5=[l2,bab]2m6=[l2,baba]2m7=babab[l2,babab]2h6=m1m4
l3=g1h645l4=m4m745l5=m5m745h11=g12al6=g4h115l7=g12h113g12h115g12h114l8=g12h113g12h1162d11=d1d22d33d42d5h13=g1d11l11=g17h132g17h1332g17h132

The words for the maximal subgroup of 32+4+8.(A5×2A4).2 are l1l6l8 and l3l7 and the words for 37.O7 (3) are l1l6l8 and l3l7l11.

3.5 Construction of 21+12:3.H4(3).2 inside Fi24

Following Atlas required group 21+12:3.H4(3).2 is the normalizer of an element of class 2B which can easily be found by using the power map. This element is given by a1=((ab)4b)18.

It just remains to calculate the normalizer of a1. This can be computed by using the method given in [31]. The generators for the centralizer of a1 are given below.

a2=[a1,a]2a3=b[a1,b]4a4=ab[a1,ab]19a5=[a1,aba]6a6=[a1,abab]3a7=[a1,ababa]2a8=a3a4

The generators for 21+12:3.U4(3).2 are a3 and a4.

3.6 Construction of 211.M24 inside Fi24

Following Atlas required group (211.M24) is the normalizer of 211.First we find an involution then searching inside its centralizer will gives us 211.This element is given by a1=((ab)4b)18 . The generators for the centralizer of a1 are given below.

a2=[a1,a]2a3=b[a1,b]4a4=ab[a1,ab]19a5=[a1,aba]6a6=[a1,abab]3a7=[a1,ababa]2a8=a3a4

Then find an involution (a6) inside H=<a2,a3,a4,a5,a6,a7,a8>and then compute the centralizer of a6 inside H. The generators for the centralizer of a6 are given below.

b1=[a6,a3]3b2=[a6,a4]3b3=[a6,a5]b4=a3a4[a6,a3a4]2b5=a6a87a6a88a6a82a6a83a6a82b6=(a6a8)2a6a810(a6a819)2

Then find an involution (b3) inside H1=<b1,b2,b3,b4,b5,b6>and then compute the centralizer of b3 inside H1. The generators for the centralizer of b3 are given below.

c1=(b3b4)4b3b42c2=(b3b4)4b3b44c3=(b6b4)4b6b42c4=(b6b4)3b6b42b6b4c5=(b6b5)4b6b52c6=(b4b5)4b4b54c7=(b2b5)4b2b53

Then find an involution (c3) inside H2=<c1,c2,c3,c4,c5,c6,c7>and then compute the centralizer of c3 inside H2. The generators for the centralizer of c3 are given below.

d1=c1c2c1c2c1c2c1c2c1c22d2=c1c2c1c2c1c2c1c2c1c25d3=c3c2c3c2c3c2c3c2c3c22d4=c3c2c3c2c3c2c3c22c3c2d5=c3c2c3c2c3c2c3c23c3c23d6=c4c2c4c2c4c2c4c2c4c22d7=c5c2c5c22c5c22c5c2c5c23d8=c3c6c3c6c3c6c3c62c3c6d9=c5c6c5c6c5c63c3c62c5c65d10=c7c6c7c6c7c62c7c64c7c62d11=c7c6c7c6c7c63c7c64c7c64d12=c7c6c7c62c7c62c7c64c7c63

Then find an involution (d1) inside H3=<d1,d2,d3,d4,d5,d6,d7,d8,d9,d10,d11,d12>and then compute the centralizer of d1 inside H3. The generators for the centralizer of d1 are given below.

e1=d1d9d1d9d1d9d1d9d1d9e2=d1d9d1d9d1d9d1d9d1d92e3=d2d9d2d9d2d9d2d9d2d9e4=d3d9d3d9d3d9d3d9d3d9e5=d4d9d4d9d4d9d4d9d4d9
e6=d5d9d5d9d5d9d5d9d5d9e7=d6d9d6d9d6d9d6d9d6d9e8=d7d9d7d9d7d9d7d9d7d9e9=d10d9d10d9d10d9d10d9d10d9e10=d12d9d12d9d12d9d12d9d12d9

Now the generators for 211 can easily be found from the above calculated centralizer given below.

f1=e12f2=e2f3=e4f4=f5f5=e72f6=e92f7=d2f8=d5f9=d6f10=d10f11=d12

We just compute the normalizer of 211 which turns out 211. M24. The words for 211.M24 are given by a and ((ab)3b(ab)4b(ab)3b(ab)5b)7.

3.7 Construction of 2.Fi22.2 inside Fi24

Following Atlas 2.Fi22.2=N(2A). The element of class 2A is given by a. The centralizer of a can be computed by the method given in [31]. The generators for the centralizer of a are given below.

a1=b[a,b]2a2=ab[a,ab]2a3=aba[a,aba]2a4=[a,abab]3a5=[a,bab]3a6=babb[a,babb]2a7=baba[a,baba]3a8=[a,babab]3a9=ababab[a,ababab]3

The generators of the required group 2.Fi22.2 are a1 and a4.

3.8 Construction of (3×O8 (3):3):2 inside Fi24

Following Atlas [37], required maximal subgroup (3×O8 (3):3):2=N(3A). The element of class 3A is given by a3=(ababababababb)20. It just remains to calculate the normalizer which can be computed by the method given in [38] i.e., we compute the partial normalizers and then combining these partial normalizers to get the required one. Before computations we will give some random words given by.

a2=(ab)6ba3=((ab)6b)20a4=(aa3)2aa5=((aa3)2a)6

Here a5 is an involution we will found the centralizer of that involution. The generators for the centralizer of a5 are given below.

b1=b[a5,b]13b2=ab[a5,ab]13b3=aba[a5,aba]13b4=ba[a5,ba]13b5=[a5,bab]21b6=[a5,baba]21b7=aba[a5,aba]13b8=[a5,abab]21b9=[a5,ababa]21b10=[a5,ababab]12

Now we wil find the partial normalizer of a3 inside H1=<b1,b2,b3,b4,b5>using the programes given in [24]. The words for the partial normalizer are given below.

k1=a3b1a3b13a3b114a3b13a3b1k2=a3b1a3b15a3b13a3b12a3b12k3=a3b1a3b112a3b15a3b112a3b1k4=a3b12a3b1a3b114a3b114a3b17k5=a3b12a3b15a3b19a3b15a3b12

Next we found an involution inside the above calculated partial normalizer. This involution is given by a6=k46, then searching the partial normalizer of a3 inside the centralizer of a6. the generators for the centralizer of a6 are given below.

c1=[a6,a]c2=b[a6,b]2c3=[a6,ab]3c4=aba[a6,aba]2c5=[a6,ba]3c6=[a6,bab]2c7=[a6,baba]3c8=[a6,babab]3

The words for the partial normalizer of a3 inside H2=<c1,c2,c3,c4,c5,c6>are given by.

d1=c1c2d2=c1c4d3=c2c3k6=a3d13a3d19a3d13a3d112a3d19

Combining above two partial normalizers. The generators for (3×O8 (3):3):2 are k4, k5 and k6.

3.9 Construction of ((A4×O8 (2):3):2) inside Fi24

Following Atlas ((A4×O8 (2):3):2) is the normalizer of 2A2. the element of class 2A is given by a, we can find the other element of class 2A inside the centralizer of of a. The generators for the centralizer of a are given below.

a1=b[a,b]2a2=ab[a,ab]2a3=aba[a,aba]2a4=[a,abab]3a5=[a,bab]3a6=babb[a,babb]2

The generators for 2A2 are given by

b1=aa4aa4a5b2=aa4aa4a53

It just remains to calculate the normalizer of 2A2, This can be done by constructing the partial normalizers of ((A4×O8 (2):3):2) inside the involution centralizers of a and b1. The generators for the involution centralizers of a are given below

c4=[a,abab]3c5=[a,bab]3c6=[a,baba]3c7=c1c2c8=c1c3c9=c1c4c10=c1c5c11=c1c6c12=c2c3c13=c2c4c14=c2c5

Searching normalizer of ((A4×O8 (2):3):2) inside the above calculated centralizer.The words for the partial normalizers are given by.

k1=ac1ac12ac111ac111ac111k2=c1c96c1c94c1c93c1c92c1c98k3=c1c9c1c920c1c917c1c97c1c914

Similary we can found the centralizer of b1 using the method given in [41].

d1=bb1,b2d2=abb1,ab2d3=abab1,aba2d4=b1,abab2d5=b1,ababa2d6=b1,baba2d7=bababb1,bababd8=bababab1,bababad9=d1d2d10=d1d3d11=d1d4d12=d1d5d13=d1d6d14=d1d7d15=d1d8

Searching normalizer of ((A4×O8 (2):3):2) inside the above calculated centralizer.The words for the partial normalizers are given by.

k4=b1d9b1d9b1d9b1d9b1d920k5=d2d12d2d127d2d1210d2d125d2d1212k6=d2d12d2d1210d2d127d2d1214d2d1214k7=d2d12d2d1215d2d1216d2d128d2d129

Combining the above calculated partial normalizers we get the required normalizer of ((A4×O8 (2):3):2). The generators of ((A4×O8 (2):3):2) are given by k3, k5 and k7.

4 Appliactions in Chemistry

Symmetric groups fund many applications in chemistry, material sciences and physics. Many books and research papers have been written on appllications of goup thoery in chemistry because a unit molecule is a fundamental unit from which pure substance is constructed, and can be assigned a symmetric group, as most of the substances are symmetric [42].For example, the density matrix renormalization group is a method that is useful for describing molecules that have strongly correlated electrons. In [43], authors provided a pedagogical overview of the basic challenges of strong correlation, how the density matrix renormalization group works. According to [44], all structural formulas of covalently bonded compounds are graphs: they are therefore called molecular graphs or, better constitutional graphs and every graph can be studied with the help of associated group. The group theoretical studies of molecular structure has strong relationship with quantum mechanics [45]. The general quantum-mechanical perturbation theory on the nonlinear optical effect in crystals and gives a systematic presentation of the basic concepts and calculation methods of the ‘anionic group theory for the nonlinear optical effect of crystals [46]. Group theory is used for calculation of equilibrium geometries, normal mode vibrational frequencies, reaction energies, electric dipole moments [47] and electron transfer reactions [48]. The properties of inorganic and organometallic compounds [49] and vibrational spectroscopy of carboranes and parent boranes [50] can be studied with the help of group theory.

5 Conclusions and future work

Molecular symmetry in chemistry portrays the symmetry present in molecular and the order of particles as indicated by their symmetry. Atomic symmetry is an essential idea in chemistry, as it tends to be utilized to anticipate or clarify a significant number of a particle’s compound properties, for example, its dipole minute and its permitted spectroscopic advances. Numerical instruments are utilized to portray the symmetry of molecles [51, 52, 53, 54, 55, 56, 57, 58, 59]. Group Theory is the numerical use of symmetry to an object to get information of its physical properties. What group hypothesis conveys to the table, is the manner by which the symmetry of a molecule is identified with its physical properties and gives a brisk basic technique to decide the significant physical data of the molecule. The symmetry of a molecule gives us its properties.. The way that such a large number of vital physical perspectives can be gotten from symmetry is an extremely significant articulation and this is the thing that makes group theory so incredible. In this paper we provide words for the 10 maximal subgroups of the Fischer group Fi24 , however there are still some cases of Fi24 , Baby Monster Group (B) and Monster Group (M).

References

[1] Klein D. J., Carlisle C. H., Matsen, F. A., Symmetry adaptation to sequences of finite groups,In Advances in quantum chemistry, 1970, 5, 219-260.10.1016/S0065-3276(08)60341-XSearch in Google Scholar

[2] Pauncz R., The Symmetric Group in Quantum Chemistry: CRC Press, 2018.10.1201/9781351077224Search in Google Scholar

[3] Ashrafi A. R., Ghorbani M., A note on markaracter tables of finite groups, MATCH Commun. Math. Comput. Chem, 2008, 59, 595-603.Search in Google Scholar

[4] White S. R., Martin R. L., Ab initio quantum chemistry using the density matrix renormalization group, The Journal of chemical physics, 1999, 110(9), 4127-4130.10.1063/1.478295Search in Google Scholar

[5] Fujita S., Maturity of finite groups: An application to combinatorial enumeration of isomers, Bulletin of the Chemical Society of Japan, 1998, 71(9), 2071-2080.10.1246/bcsj.71.2071Search in Google Scholar

[6] Bonacic-Koutecky V., Fantucci P., Koutecky J., Quantum chemistry of small clusters of elements of groups Ia, Ib, and IIa: fundamental concepts, predictions, and interpretation of experiments, Chemical Reviews, 1991, 91(5), 1035-1108.10.1021/cr00005a016Search in Google Scholar

[7] Fujita S., Symmetry and combinatorial enumeration in chemistry,Springer Science & Business Media, 2012.Search in Google Scholar

[8] Hitzbleck J., Deacon G. B., Ruhlandt‐Senge K., Linear Finite “Mers”—Homoleptic Polynuclear Heavy Alkaline Earth Metal Pyrazolates, Angewandte Chemie International Edition, 2004, 43(39), 5218-5220.10.1002/anie.200460628Search in Google Scholar PubMed

[9] Kahnert M., Irreducible representations of finite groups in the T-matrix formulation of the electromagnetic scattering problem. JOSA A, 2005, 22(6), 1187-1199.10.1364/JOSAA.22.001187Search in Google Scholar PubMed

[10] Fujita S., Dominant representations and a markaracter table for a group of finite order, Theoretica chimica acta, 1995, 91(5-6), 291-314.10.1007/BF01133077Search in Google Scholar

[11] Kaplan I. G., Symmetry of Many-Electron Systems: Physical Chemistry: A Series of Monographs, Academic Press, 2017, Vol 34.Search in Google Scholar

[12] Ellzey Jr M. L., Finite group theory for large systems. 3. Symmetry‐generation of reduced matrix elements for icosahedral C20 and C60 molecules, Journal of computational chemistry, 2007, 28(4), 811-817.10.1002/jcc.20593Search in Google Scholar PubMed

[13] Bickerstaff R. P., Damhus T., A necessary and sufficient condition for the existence of real coupling coefficients for a finite group, International Journal of Quantum Chemistry, 1985, 27(4), 381-391.10.1002/qua.560270403Search in Google Scholar

[14] Ellzey M. L., Villagran D., Finite Group Theory for Large Systems. 2. Generating Relations and Irreducible Representations for the Icosahedral Point Group, h, Journal of chemical information and computer sciences, 2003, 43(6), 1763-1770.10.1021/ci025614xSearch in Google Scholar PubMed

[15] Ellzey M. L., Finite group theory for large systems: 1 Symmetry-adaptation, Journal of chemical information and computer sciences, 2003, 43(1), 178-181.10.1021/ci025610sSearch in Google Scholar PubMed

[16] Balasubramanian K., Applications of combinatorics and graph theory to spectroscopy and quantum chemistry, Chemical Reviews, 1985, 85(6), 599-618.10.1021/cr00070a005Search in Google Scholar

[17] Cotton F. A., Chemical applications of group theory,John Wiley & Sons, 2003.Search in Google Scholar

[18] Paldus J., Group theoretical approach to the configuration interaction and perturbation theory calculations for atomic and molecular systems, The Journal of Chemical Physics, 1974, 61(12), 5321-5330.10.1063/1.1681883Search in Google Scholar

[19] Moghani A., A new simple method for maturity of finite groups and application to fullerenes and fluxional molecules, Bulletin of the Chemical Society of Japan, 2009, 82(9), 1103-1106.10.1246/bcsj.82.1103Search in Google Scholar

[20] Stankovic R. S., Moraga C., Astola, J., Fourier analysis on finite groups with applications in signal processing and system design, John Wiley & Sons, 2005.10.1002/047174543XSearch in Google Scholar

[21] Fischer B., Finite groups generated by 3-transpositions,Inventiones mathematicae, 1971, 13(3), 232-246.10.1007/BF01404633Search in Google Scholar

[22] Clifton J.M., A simplification of the computation of the natural representation of the symmetric group Sn Proceedings of the American Mathematical Society, 1981, 83(2), 248-250.10.2307/2043504Search in Google Scholar

[23] Choi C., On Subgroups of M24I. Stablizers of subsets, Trans. Amer. Math. Soc., 1981,167, 1-27.10.1090/S0002-9947-1972-0294472-0Search in Google Scholar

[24] Magliveras S.S., The subgroup structure of the Higman-Sims simple groups, Bull. Amer. Math. Soc., 1971, 77, 535-539.10.1090/S0002-9904-1971-12743-XSearch in Google Scholar

[25] Finkelstein L., The maximal subgroups of Conway group Co3 Mclaughlin’s group, J. Algebra, 1973, 25, 58-59.10.1016/0021-8693(73)90075-6Search in Google Scholar

[26] Finkelstein L., Rudvalis A., Maximal subgroups of the Hall-Janko-Wales group, J. Algebra, 1973, 24(3), 486-493.10.1016/0021-8693(73)90122-1Search in Google Scholar

[27] Finkelstein L., Rudvalis A., The maximal subgroups of janko’s simple group of order 50, 232, 960, J. Algebra, 1974, 30(1-3), 122-143.10.1016/0021-8693(74)90196-3Search in Google Scholar

[28] Enright G.M., Subgroups generated by transpositions in Fi22 and Fi23 Comm. Algebra, 1978, 6(8), 823-837.10.1080/00927877808822270Search in Google Scholar

[29] Flaass D., The 2-local subgroups of the Fischer groups Fi22 and Fi23 Mat. Zametki, 1984, 35, 333-342.10.1007/BF01979710Search in Google Scholar

[30] Linton S.A., The maximal subgroups of the Thompson group, J. London Math. Soc., 1989), 2(1), 79-88.10.1112/jlms/s2-39.1.79Search in Google Scholar

[31] Linton S.A., Wilson R.A., The maximal subgroups of the Fisher group Fi24 and Fi24 Proc. London Math. Soc., 1991, 3(1), 113-164.10.1112/plms/s3-63.1.113Search in Google Scholar

[32] Wilson R.A., The maximal subgroups of the Baby Monster, I., J. Algebra, 1999, 211(1), 1-14.10.1006/jabr.1998.7601Search in Google Scholar

[33] Wilson R.A., Nickerson S.J., Bray J.N., A World-wide-web Atlas of Group Representations, 2004-2014, http://brauer.maths.qmul.ac.uk/AtlasSearch in Google Scholar

[34] Wilson R.A., Standard Generators for Sporadic Simple Groups, J. Algebra, 1996, 184(2), 505-515.10.1006/jabr.1996.0271Search in Google Scholar

[35] Nickerson S., Maximal subgroups of the sporadic almost-simple groups. MPhil (Qual) thesis, The University of Birmingham, 2004.Search in Google Scholar

[36] Bray J.N., Suleiman I.A.I., Walsh P.G., Wilson R.A., Generating maximal subgroups of sporadic simple groups, Communications in algebra, 2001, 29(3), 1325–1337.10.1081/AGB-100001687Search in Google Scholar

[37] Conway J.H., Curtis R.T., Norton S.P., Parker R.A., Wilson R.A., Atlas of Finite Groups, Clarendon Press, Oxford, 2003.Search in Google Scholar

[38] Linton S.A., The art and science of computing in large groups. In Computational algebra and number theory, Springer, Dordrecht, 1995, 91-109.10.1007/978-94-017-1108-1_7Search in Google Scholar

[39] The GAP Group, GAP - Groups, Algorithms, and Programming, Version 4.7.5, 2014, http://www.gap-system.orgSearch in Google Scholar

[40] Bosma W., Cannon J., Playoust C., The Magma algebra system.I., The user language, J. Symbolic Comput., 1997, 24, 235–265.10.1006/jsco.1996.0125Search in Google Scholar

[41] Bray J.N., An improved method for generating the centralizer of an involution, Arch. Math., 2000, 74(4), 241-245.10.1007/s000130050437Search in Google Scholar

[42] Chatfield D., Christopher J. Cramer: Essentials of Computational Chemistry: Theories and Models. Theoretical Chemistry Accounts: Theory, Computation, and Modeling (Theoretica Chimica Acta), 2002, 108(6), 367-368.Search in Google Scholar

[43] Chan G.K.L., Sharma S., The density matrix renormalization group in quantum chemistry. Annual review of physical chemistry, 2011, 62, 465-481.10.1016/S1574-1400(09)00507-6Search in Google Scholar

[44] Brocas J., Dubois J.E., Chemical applications of graph theory (Vol. 185). A. T. Balaban (Ed.). London: Academic Press, 1976.Search in Google Scholar

[45] Kaltsoyannis N., Relativistic effects in inorganic and organometallic chemistry, Journal of the Chemical Society, Dalton Transactions,1997, 1, 1-12.10.1039/a605473kSearch in Google Scholar

[46] Chen C., Wu Y., Li R., The anionic group theory of the non-linear optical effect and its applications in the development of new high-quality NLO crystals in the borate series, International Reviews in Physical Chemistry,1989, 8(1), 65-91.10.1080/01442358909353223Search in Google Scholar

[47] Dobbs K.D., Hehre W.J., Molecular orbital theory of the properties of inorganic and organometallic compounds 4. Extended basis sets for third‐and fourth‐row, main‐group elements, Journal of computational chemistry,1986, 7(3), 359-378.10.1002/jcc.540070313Search in Google Scholar

[48] Marcus R.A., Electron transfer reactions in chemistry. Theory and experiment, Reviews of Modern Physics,1993, 65(3), 599.10.1201/9781003076803-10Search in Google Scholar

[49] Pietro W.J., Levi B.A., Hehre W.J., Stewart R.F., Molecular orbital theory of the properties of inorganic and organometallic compounds. 1. STO-NG basis sets for third-row main-group elements, Inorganic Chemistry,1980, 19(8), 2225-2229.10.1021/ic50210a005Search in Google Scholar

[50] Leites L.A., Vibrational spectroscopy of carboranes and parent boranes and its capabilities in carborane chemistry, Chemical reviews, 1992, 92(2), 279-323.10.1021/cr00010a006Search in Google Scholar

[51] Shao A., Virk A.R., Javed M.S., Rehman M.A., Farahani M.R., Degree based graph invariants for the molecular graph of Bismuth Tri-Iodide, Eng. Appl. Sci. Lett., 2019, 2(1), 1-11.10.30538/psrp-easl2019.0011Search in Google Scholar

[52] Virk A.R. , Jhangeer M.N., Rehman M.A., Reverse Zagreb and Reverse Hyper-Zagreb Indices for Silicon Carbide Si2C3I[r,s] and Si2C3II[r,s], Eng. Appl. Sci. Lett., 2018, 1(2), 37-50.10.30538/psrp-easl2018.0010Search in Google Scholar

[53] De N., Computing Reformulated First Zagreb Index of Some Chemical Graphs as an Application of Generalized Hierarchical Product of Graphs, Open J. Math. Sci., 2018, 2(1), 338-250.10.30538/oms2018.0039Search in Google Scholar

[54] Yan L., Farahani M.R., Gao W., Distance-based indices computation of symmetry molecular structures, Open J. Math. Sci., 2018, 2(1), 323-237.10.30538/oms2018.0038Search in Google Scholar

[55] Noreen S., Mahmood A., Zagreb polynomials and redefined zagreb indices for the line graph of carbon nanocones, Open J. Math. Anal., 2018, 2(1), 67-76.10.30538/psrp-oma2018.0012Search in Google Scholar

[56] Siddiqui H., Farahani M.R., Forgotten polynomial and forgotten index of certain interconnection networks, Open J. Math. Anal., 2017, 1(1), 45-60.10.30538/psrp-oma2017.0005Search in Google Scholar

[57] Alaeiyan M., Farahani M.R., Jamil M.K., Computation of the fifth geometric-arithmetic index for polycyclic aromatic hydrocarbons PaHk, Applied Mathematics and Nonlinear Sciences, 2016, 1(1), 283-290.10.21042/AMNS.2016.1.00023Search in Google Scholar

[58] Jamil M.K., Farahani M.R., Imran M., Malik M.A., Computing eccentric version of second zagreb index of polycyclic aromatic hydrocarbons PAHk, Applied Mathematics and Nonlinear Sciences, 2016, 1(1), 247-252.10.21042/AMNS.2016.1.00019Search in Google Scholar

[59] Farahani M.R., Jamil M.K., Imran M., Vertex PIv topological index of titania carbon nanotubes TiO2 (m, n), Appl. Math. Nonl. Sc, 2016, 1(1), 175-182.10.21042/AMNS.2016.1.00013Search in Google Scholar

Received: 2018-10-16
Accepted: 2019-12-01
Published Online: 2019-12-31

© 2019 Faisal Yasin et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 Public License.

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