Conjugacy classes of centralizers in the group of upper triangular matrices
Sushil Bhunia

TL;DR
This paper investigates the structure of conjugacy classes of centralizers in the group of upper triangular matrices, showing that the number of z-classes is infinite over infinite fields for matrices of size at least 6, and finite over finite fields.
Contribution
It establishes the finiteness or infiniteness of z-classes in upper triangular matrix groups depending on the field's nature and matrix size.
Findings
Number of z-classes is infinite over infinite fields for matrices of size ≥ 6.
Number of z-classes is finite over finite fields.
Provides classification criteria for z-classes in upper triangular matrix groups.
Abstract
Let G be a group. Two elements x and y in G are said to be in the same z-class if their centralizers in G are conjugate within G. In this paper, we prove that the number of z-classes in the group of upper triangular matrices is infinite provided that the field is infinite and size of the matrices is at least 6, and finite otherwise.
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Conjugacy classes of centralizers in the group of upper triangular matrices
Sushil Bhunia
IISER Mohali, Knowledge city, Sector 81, SAS Nagar, P.O. Manauli, Punjab 140306, INDIA
Abstract.
Let be a group. Two elements are said to be in the same -class if their centralizers in are conjugate within . In this paper, we prove that the number of -classes in the group of upper triangular matrices is infinite provided that the field is infinite and size of the matrices is at least , and finite otherwise.
Key words and phrases:
Upper triangular matrices, conjugacy classes, -classes
2010 Mathematics Subject Classification:
20E45, 20G15, 15A21
The author is supported by the SERB, India (No. PDF/2017/001049) and DST-RFBR joint Indo-Russian project (No. INT/RUS/RFBR/P-288).
1. Introduction
Let be a group. Two elements and in are said to be -equivalent, denoted by , if their centralizers in are conjugate, i.e., for some , where denotes centralizer of in . Clearly, is an equivalence relation on . The equivalence classes with respect to this relation are called -classes. It is easy to see that if two elements of a group are conjugate then their centralizers are conjugate thus they are also -equivalent. However, in general, the converse is not true. In geometry, -classes describe the behaviour of dynamical types (see for example [9], [2], and [5]). That is, if a group is acting on a manifold then understanding (dynamical types of) orbits is related to understanding (conjugacy classes of) centralizers.
Robert Steinberg [13] (Section 3.6 Corollary 1 to Theorem 2) proved that for a reductive algebraic group defined over an algebraically closed field, of good characteristic, the number of -classes is finite. A natural question that followed: Is the number of -classes finite for algebraic group defined over an arbitrary field ? In [12], A. Singh studied -classes for real compact groups of type . Ravi S. Kulkarni, in [10], proved that the number of -classes in is finite if the field has only finitely many field extensions of any fixed finite degree. Unless otherwise specified, we will always assume that is a field of . Let be an -dimensional vector space over a field equipped with a non-degenerate symmetric or skew-symmetric bilinear form . Then, in [6], it is proved that there are only finitely many -classes in orthogonal groups and symplectic groups if has only finitely many field extensions of any fixed finite degree. Let be a perfect field with a non-trivial Galois automorphism of order . Let be an -dimensional vector space over equipped with a non-degenerate Hermitian form . Suppose that the fixed field has only finitely many field extensions of any fixed finite degree. Then, in [1], we proved that the number of -classes in the unitary group is finite. All the groups mentioned so far are special types of reductive algebraic groups. A natural problem to study would be to consider -classes in non-reductive ones. In particular, one may consider the following problem:
Problem 1.1**.**
Is the number of -classes finite for a solvable algebraic group?
Let be a connected solvable linear algebraic group over an algebraically closed field , then by Lie-Kolchin theorem (see Theorem 17.6 [7]) is a subgroup of the group of upper triangular matrices in for some .
Let denote the group of upper triangular matrices in . In this paper, we solve the Problem 1.1 for this special classes of groups. In a sequel, we will do this for general nilpotent and solvable groups. The main result of this paper is the following theorem, which solves Problem 1.1 for the group of upper triangular matrices:
Theorem 1.2**.**
- (1)
For , the number of -classes in is finite. 2. (2)
For , the number of -classes in is infinite.
In Section 2, we explore the semisimple -classes for the group of upper triangular matrices. In Section 3, we study unipotent conjugacy classes and unipotent -classes in . In Section 4, we prove our main theorem of this paper. Throughout the paper, we assume that is an infinite field of . Here we include an appendix, which contains an explicit computation of unipotent conjugacy classes and their representatives in the group of upper triangular matrices for using Belitskii’s algorithm.
2. Semisimple -classes in
Let be a positive integer with a partition , denoted by , i.e., .
Proposition 2.1**.**
The number of semisimple -classes in is
[TABLE]
So, in particular, the number of semisimple -classes in is finite.
Proof.
Semisimple elements in are nothing but diagonals up to conjugacy (for details see the first-page second paragraph in [11]). So the number of semisimple -classes in is equal to the number of -classes of diagonals in . Now we give a combinatorial argument to count the -classes of diagonals in , which is as follows: Let be a partition of . Let us consider the following multiset
[TABLE]
So the number of ways to order the above multiset is
[TABLE]
Now look at the action of on the ordered tuples via
[TABLE]
where and ’s are the symmetric groups on symbols. Therefore the size of each orbit under the above action is as the stabilizer is the identity group. So the number of orbits is
[TABLE]
Hence the result. ∎
A numerical example should make the above argument transparent.
Example 2.2**.**
Let , then the number of partitions of is equal to and are given by . Now
- (1)
For , the number of semisimple - classes is and representative is the following:
[TABLE] 2. (2)
For , the number of semisimple - classes is and representatives are given by the following:
[TABLE]
[TABLE] 3. (3)
For , the number of semisimple - classes is and representatives are given by the following:
[TABLE] 4. (4)
For , the number of semisimple -classes is and representatives are given by the following:
[TABLE] 5. (5)
For , the number of semisimple -classes is and representatives are given as follows:
[TABLE] 6. (6)
For , the number of semisimple -classes is and representatives are given by the following:
[TABLE] 7. (7)
For , the number of semisimple -classes is and the representative is given as follows:
[TABLE]
Therefore the total number of semisimple -classes in is .
3. Unipotent -classes in
Let , define
[TABLE]
Let be a unipotent element. The following result is already known. We record this result as we are going to use it.
Proposition 3.1**.**
- (1)
For , the number of unipotent conjugacy classes in is finite. In particular, the numbers are for respectively. 2. (2)
For , the number of unipotent conjugacy classes in is infinite.
Proof.
- (1)
Use Belitskii’s algorithm, for details see [3], [8] and [14]. Also, see the appendix for explicit calculations of the number of unipotent conjugacy classes. We also give representatives of the unipotent conjugacy classes in for . 2. (2)
The proof was originally given by M. Roitman in [11] for . Then latter Djokovic and Malzan, in [4], proved this for and in fact, it is the minimum value for which this happens to be true by part (1). For completeness, we will give this prove again. It is enough to prove this for . Let and are conjugate in , i.e., for some . Then . Let , then we get the following:
[TABLE]
Therefore from the above equation, we get . So the number of unipotent conjugacy classes in is infinite as is an infinite field. Hence it is true for provided .
∎
Corollary 3.2**.**
For , the number of unipotent -classes in is finite.
Proof.
If two elements are conjugate, then they are also -conjugate. So this follows from the first part of Proposition 3.1. ∎
Now the centralizer of , is the following:
[TABLE]
Lemma 3.3**.**
For , the number of unipotent -classes in is infinite.
Proof.
It is enough to prove this lemma for . Now assume that . Suppose that and are -conjugate, then for some .
Claim: .
Now for all . So for some . Observe that two upper triangular matrices are conjugate via a upper triangular matrix implies that they have the same diagonal entries. Let and have the form described as above. Then we get
[TABLE]
[TABLE]
[TABLE]
From Equation (3.6), we get, and .
(If and then and . So
[TABLE]
hence , since and . And if and , then and . So
[TABLE]
Now, since , we get , which implies , as ).
From Equation (3.7), we get, .
(If and then and . So from Equation (3.6) we get
[TABLE]
since . Again if and , then and , as . So again from Equation (3.6) we get,
[TABLE]
since . Therefore from the above two we get ). Hence . Therefore the result is true for . Now for . Let
[TABLE]
be two unipotent elements which are -conjugate in . Then
[TABLE]
for some . Therefore for some and . Now write and in block form, we get
[TABLE]
for some . Hence , which reduces to the case of . Therefore the number of unipotent -classes in () is infinite. ∎
Corollary 3.4**.**
The unipotent -classes for is parametrized by elements of the field .
Proof.
Let be a unipotent element of . Then using Belitskii’s algorithm (see appendix and [8] for details) we get for some and for some , where is defined at the beginning of this section. Again from Lemma 3.3 we have if and only if , where . Therefore unipotent -classes in are completely determined by the elements of via the map . ∎
4. -classes in
Lemma 4.1**.**
Let and be the Jordan decomposition of , and . Then we have
[TABLE]
Proof.
Let then and . Therefore implies that . Therefore .
On the other hand let , then and . Now the last equation is same as . So . Hence the result. ∎
Remark 4.2**.**
Let us assume that the number of semisimple -classes in is and representatives are given by . Let then is the Jordan decomposition of . By the above assumption, will be -conjugate to for some . Without loss of generality, say , i.e., for some . Then
[TABLE]
The first equality follows from the uniqueness of the Jordan decomposition, i.e.,
[TABLE]
and the second equality follows from Lemma 4.1. Now if the number of unipotent -classes in is finite for all . Then the number of -classes in is finite. So the upshot is the following:
If we know that the number of semisimple -classes in is finite, and the number of unipotent -classes in centralizer of semisimple elements is finite, then the number of -classes in is finite.
4.1. Proof of the Theorem 1.2:
- (1)
The number of semisimple -classes in is finite follows from Proposition 2.1. The number of unipotent -classes in is finite for follows from Corollary 3.2. So the number of -classes in , for , is finite follows from Lemma 4.1 (see also Remark 4.2). 2. (2)
The number of unipotent -classes in is infinite for follows from Lemma 3.3. Therefore the number of -classes in is infinite provided .
5. Appendix
Two matrices are said to be conjugate if for some . Here we are following [8].
Belitskii’s Algorithm for :
Let . Elements of the matrix are ordered by
[TABLE]
i.e., a sequence from bottom to top and in each row from left to right.
AIM: The aim of this algorithm is to simplify the first entry in the above sequence, then the second entry and so on. By “simplifying” we mean replacing the entry by [math] or (conjugating the matrix by upper triangular matrices) if possible. If not, then we continue with the next entry in the above sequence. At each step, we take care not to disturb any of the reductions obtained so far.
Let be an elementary matrix, with element equal to and [math] everywhere else. Two matrices and are conjugate if and only if one reduces to the other by a sequence of the following two elementary transformations:
- (1)
Multiply row by , then multiply column by ; the elementary transformations can be obtained as , . 2. (2)
For , multiply from the left; then multiply from the right; the elementary transformations can be obtained as , .
Algorithm for :
Step 1: Let be the first unreduced entry of . If the column of contains an entry located under (i.e., ) and is the first nonzero entry in the row, then by transformation of the type (2) with .
Step 2: Suppose that the column of does not contain such an entry . If is the first nonzero entry of that row, then by transformation of the type (1) with .
Step 3: Suppose is the first nonzero entry in the row of , then by the transformation of the type (2) with . But this might disturb the row , which was reduced before. However, this does not happen if the row is zero.
Step 4: If are the first nonzero entries of corresponding rows and , then the above transformation by disturbs the row of , which can be restored by the transformation of the type (2) with (this transformation does not disturb the reduced entries since the matrix is this need not be true for matrices). In this case, we get .
Step 5: If is the first nonzero entry of the row and for all , then by transformation of the type (1) with . But this transformation disturbs row of by changing into . This can be restored by a transformation of type (1) with . The latter transformation does not disturb already reduced entries if row is zero. If row is not zero, then we have since the dimension is and the element was changed to . This can be restored by a transformation of the type (1) with .
Here we use Belitskii’s algorithm (for details see [8]) for unipotent elements. Number of unipotent conjugacy classes in is and representatives are the following:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Therefore we have obtained also all unipotent conjugacy classes for for . In particular, all we have to do is to look for the bottom right , and corners of the above case.
For , representatives are the following: .
For , representatives are the following:
[TABLE]
For , representatives are the following:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Acknowledgement: The author would like to acknowledge Dr. Anupam Singh and Dr. Rohit Joshi of IISER Pune for many helpful discussions. The author thanks Dr. Pranab Sardar and Dr. Krishnendu Gongopadhyay of IISER Mohali for encouragement.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 4[4] D. Z. Djokovic; J. Malzan, “Orbits of nilpotent matrices” , Linear Algebra and its Applications 32: 157-158, (1980).
- 5[5] K. Gongopadhyay, “The z-classes of quaternionic hyperbolic isometries” , J. Group Theory, 16 (6), 941-964, (2013).
- 6[6] K. Gongopadhyay and R. S. Kulkarni, “The z 𝑧 z -classes of isometries” , J. Indian Math. Soc. (N.S.) 81, no. 3-4,245-258, (2014).
- 7[7] James E. Humphreys, “Linear algebraic groups” , Graduate Texts in Mathematics, No. 21, Springer-Verlag, New York-Heidelberg, (1975).
- 8[8] Damjan Kobal, “Belitskii’s canonical form for 5 × 5 5 5 5\times 5 upper triangular matrices under upper triangular similarity” , Linear Algebra and its Applications 403: 178-182, (2005).
