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On the length of matrix algebras Olga V. Markova (Department of Mechanics and Mathematics Lomonosov Moscow State University) The Seventh Linear Algebra Workshop (LAW’14) Ljubljana, Slovenia 6 June 2014 O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 1 / 15

Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

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Page 1: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

On the length of matrix algebras

Olga V. Markova

(Department of Mechanics and MathematicsLomonosov Moscow State University)

The Seventh Linear Algebra Workshop (LAW’14)

Ljubljana, Slovenia6 June 2014

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 1 / 15

Page 2: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Preliminaries

Let F be a field, let A be a finite-dimensional associative unitary F-algebraand let S = {a1, . . . , ak} be a finite generating set for A.

By words we mean the products of elements from S, the length of a wordis the number of letters in it.

DenoteLm(S) = 〈ai1 · · · ait |t ≤ m〉;L(S) for the linear span of all words in S.

L0(S) ⊆ L1(S) ⊆ · · · ⊆ Lm(S) = Lm+1(S) = · · · = L(S) = A.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 2 / 15

Page 3: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Preliminaries

Let F be a field, let A be a finite-dimensional associative unitary F-algebraand let S = {a1, . . . , ak} be a finite generating set for A.

By words we mean the products of elements from S, the length of a wordis the number of letters in it.

DenoteLm(S) = 〈ai1 · · · ait |t ≤ m〉;L(S) for the linear span of all words in S.

L0(S) ⊆ L1(S) ⊆ · · · ⊆ Lm(S) = Lm+1(S) = · · · = L(S) = A.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 2 / 15

Page 4: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Preliminaries

Let F be a field, let A be a finite-dimensional associative unitary F-algebraand let S = {a1, . . . , ak} be a finite generating set for A.

By words we mean the products of elements from S, the length of a wordis the number of letters in it.

DenoteLm(S) = 〈ai1 · · · ait |t ≤ m〉;

L(S) for the linear span of all words in S.

L0(S) ⊆ L1(S) ⊆ · · · ⊆ Lm(S) = Lm+1(S) = · · · = L(S) = A.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 2 / 15

Page 5: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Preliminaries

Let F be a field, let A be a finite-dimensional associative unitary F-algebraand let S = {a1, . . . , ak} be a finite generating set for A.

By words we mean the products of elements from S, the length of a wordis the number of letters in it.

DenoteLm(S) = 〈ai1 · · · ait |t ≤ m〉;L(S) for the linear span of all words in S.

L0(S) ⊆ L1(S) ⊆ · · · ⊆ Lm(S) = Lm+1(S) = · · · = L(S) = A.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 2 / 15

Page 6: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Preliminaries

Let F be a field, let A be a finite-dimensional associative unitary F-algebraand let S = {a1, . . . , ak} be a finite generating set for A.

By words we mean the products of elements from S, the length of a wordis the number of letters in it.

DenoteLm(S) = 〈ai1 · · · ait |t ≤ m〉;L(S) for the linear span of all words in S.

L0(S) ⊆ L1(S) ⊆ · · · ⊆ Lm(S) = Lm+1(S) = · · · = L(S) = A.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 2 / 15

Page 7: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Main Definitions

DefinitionA number l(S) is called length of a finite generating set S providedl(S) = min{m ∈ Z+ : Lm(S) = A}.

DefinitionThe length of the algebra A is the number l(A) = max{l(S) : L(S) = A}.

Since dimLi (S) < dimLi+1(S) unless Li (S) = A, then the trivial upperbound for the length is l(A) ≤ dimA− 1.

Theorem (C.J. Pappacena, 1997)Let F be an arbitrary field and let A be a finite-dimensional F-algebra.Write d = dimA, m = max{deg a : a ∈ A}. Then

l(A) < m

√2d

m − 1+

1

4+

m

2− 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 3 / 15

Page 8: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Main Definitions

DefinitionA number l(S) is called length of a finite generating set S providedl(S) = min{m ∈ Z+ : Lm(S) = A}.

DefinitionThe length of the algebra A is the number l(A) = max{l(S) : L(S) = A}.

Since dimLi (S) < dimLi+1(S) unless Li (S) = A, then the trivial upperbound for the length is l(A) ≤ dimA− 1.

Theorem (C.J. Pappacena, 1997)Let F be an arbitrary field and let A be a finite-dimensional F-algebra.Write d = dimA, m = max{deg a : a ∈ A}. Then

l(A) < m

√2d

m − 1+

1

4+

m

2− 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 3 / 15

Page 9: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Main Definitions

DefinitionA number l(S) is called length of a finite generating set S providedl(S) = min{m ∈ Z+ : Lm(S) = A}.

DefinitionThe length of the algebra A is the number l(A) = max{l(S) : L(S) = A}.

Since dimLi (S) < dimLi+1(S) unless Li (S) = A, then the trivial upperbound for the length is l(A) ≤ dimA− 1.

Theorem (C.J. Pappacena, 1997)Let F be an arbitrary field and let A be a finite-dimensional F-algebra.Write d = dimA, m = max{deg a : a ∈ A}. Then

l(A) < m

√2d

m − 1+

1

4+

m

2− 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 3 / 15

Page 10: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Main Definitions

DefinitionA number l(S) is called length of a finite generating set S providedl(S) = min{m ∈ Z+ : Lm(S) = A}.

DefinitionThe length of the algebra A is the number l(A) = max{l(S) : L(S) = A}.

Since dimLi (S) < dimLi+1(S) unless Li (S) = A, then the trivial upperbound for the length is l(A) ≤ dimA− 1.

Theorem (C.J. Pappacena, 1997)Let F be an arbitrary field and let A be a finite-dimensional F-algebra.Write d = dimA, m = max{deg a : a ∈ A}. Then

l(A) < m

√2d

m − 1+

1

4+

m

2− 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 3 / 15

Page 11: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

History

Let us note that the problem of length evaluation for a given set S isequivalent to the one of finding a smallest number m such that the spaceof values of all polynomials in S coincides with the space of values ofpolynomials with degrees bounded by m.

When the set S contains only one matrix of size n × n, this question isanswered by the Cayley-Hamilton Theorem: l(S) ≤ n − 1.The case of 3× 3 matrices was considered by Spencer and Rivlin inconnection with deformations of isotropic materials (when the stress matrixis a polynomial in kinematic matrices).

Theorem (A. J.M. Spencer, R. S. Rivlin, 1959)Let S be a set of K 3× 3 matrices. Thenl(S) ≤ 2 if K = 1;l(S) ≤ 5 if K = 2;l(S) ≤ K + 2 if K ≥ 3.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 4 / 15

Page 12: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

History

Let us note that the problem of length evaluation for a given set S isequivalent to the one of finding a smallest number m such that the spaceof values of all polynomials in S coincides with the space of values ofpolynomials with degrees bounded by m.When the set S contains only one matrix of size n × n, this question isanswered by the Cayley-Hamilton Theorem: l(S) ≤ n − 1.

The case of 3× 3 matrices was considered by Spencer and Rivlin inconnection with deformations of isotropic materials (when the stress matrixis a polynomial in kinematic matrices).

Theorem (A. J.M. Spencer, R. S. Rivlin, 1959)Let S be a set of K 3× 3 matrices. Thenl(S) ≤ 2 if K = 1;l(S) ≤ 5 if K = 2;l(S) ≤ K + 2 if K ≥ 3.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 4 / 15

Page 13: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

History

Let us note that the problem of length evaluation for a given set S isequivalent to the one of finding a smallest number m such that the spaceof values of all polynomials in S coincides with the space of values ofpolynomials with degrees bounded by m.When the set S contains only one matrix of size n × n, this question isanswered by the Cayley-Hamilton Theorem: l(S) ≤ n − 1.The case of 3× 3 matrices was considered by Spencer and Rivlin inconnection with deformations of isotropic materials (when the stress matrixis a polynomial in kinematic matrices).

Theorem (A. J.M. Spencer, R. S. Rivlin, 1959)Let S be a set of K 3× 3 matrices. Thenl(S) ≤ 2 if K = 1;l(S) ≤ 5 if K = 2;l(S) ≤ K + 2 if K ≥ 3.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 4 / 15

Page 14: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

History

Let us note that the problem of length evaluation for a given set S isequivalent to the one of finding a smallest number m such that the spaceof values of all polynomials in S coincides with the space of values ofpolynomials with degrees bounded by m.When the set S contains only one matrix of size n × n, this question isanswered by the Cayley-Hamilton Theorem: l(S) ≤ n − 1.The case of 3× 3 matrices was considered by Spencer and Rivlin inconnection with deformations of isotropic materials (when the stress matrixis a polynomial in kinematic matrices).

Theorem (A. J.M. Spencer, R. S. Rivlin, 1959)Let S be a set of K 3× 3 matrices. Thenl(S) ≤ 2 if K = 1;l(S) ≤ 5 if K = 2;l(S) ≤ K + 2 if K ≥ 3.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 4 / 15

Page 15: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Length of the full matrix algebra

The problem of evaluating the length of the algebra Mn(F) of n × nmatrices in terms of its order was posed by Paz in 1984 and has not beensolved yet.

Theorem (A. Paz, 1984)

l(Mn(F)) ≤⌈n2 + 2

3

⌉.

Theorem (C.J. Pappacena, 1997)

l(Mn(F)) < n

√2n2

n − 1+

1

4+

n

2− 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 5 / 15

Page 16: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Length of the full matrix algebra

The problem of evaluating the length of the algebra Mn(F) of n × nmatrices in terms of its order was posed by Paz in 1984 and has not beensolved yet.

Theorem (A. Paz, 1984)

l(Mn(F)) ≤⌈n2 + 2

3

⌉.

Theorem (C.J. Pappacena, 1997)

l(Mn(F)) < n

√2n2

n − 1+

1

4+

n

2− 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 5 / 15

Page 17: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Length of the full matrix algebra

The problem of evaluating the length of the algebra Mn(F) of n × nmatrices in terms of its order was posed by Paz in 1984 and has not beensolved yet.

Theorem (A. Paz, 1984)

l(Mn(F)) ≤⌈n2 + 2

3

⌉.

Theorem (C.J. Pappacena, 1997)

l(Mn(F)) < n

√2n2

n − 1+

1

4+

n

2− 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 5 / 15

Page 18: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Length of the full matrix algebra

Conjecture (A. Paz, 1984)l(Mn(F)) = 2n − 2.

It is true for n ≤ 4.

Theorem (W.E. Longstaff, A.C. Niemeyer, Oreste Panaia, 2006)(M.S. Lambrou, W. E. Longstaff, 2009)Let n = 5, 6, S = {A,B} ⊂ Mn(C), L(S) = Mn(C). Then l(S) ≤ 2n − 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 6 / 15

Page 19: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Length of the full matrix algebra

Conjecture (A. Paz, 1984)l(Mn(F)) = 2n − 2.

It is true for n ≤ 4.

Theorem (W.E. Longstaff, A.C. Niemeyer, Oreste Panaia, 2006)(M.S. Lambrou, W. E. Longstaff, 2009)Let n = 5, 6, S = {A,B} ⊂ Mn(C), L(S) = Mn(C). Then l(S) ≤ 2n − 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 6 / 15

Page 20: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Length of the full matrix algebra

Conjecture (A. Paz, 1984)l(Mn(F)) = 2n − 2.

It is true for n ≤ 4.

Theorem (W.E. Longstaff, A.C. Niemeyer, Oreste Panaia, 2006)(M.S. Lambrou, W. E. Longstaff, 2009)Let n = 5, 6, S = {A,B} ⊂ Mn(C), L(S) = Mn(C). Then l(S) ≤ 2n − 2.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 6 / 15

Page 21: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Lengths of upper-triangular matrix subalgebras

Let Tn(F) denote the F-algebra of upper-triangular matrices of size n × n.

Theorem (O.V. Markova, 2005)Let F be an arbitrary field and let A ⊆ Tn(F). Then1. l(Tn(F)) = n − 1;2.l(A) ≤ n − 1.

Upper bound:

n∏k=1

(Ak − (Ak)k,k I ) = 0 for any A1, . . . ,An ∈ Tn(F).

Generating set for Tn(F):

S = {Ek,k ,Ek,k+1,En,n|k = 1, . . . , n − 1}, l(S) = n − 1.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 7 / 15

Page 22: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Lengths of upper-triangular matrix subalgebras

Let Tn(F) denote the F-algebra of upper-triangular matrices of size n × n.

Theorem (O.V. Markova, 2005)Let F be an arbitrary field and let A ⊆ Tn(F). Then1. l(Tn(F)) = n − 1;2.l(A) ≤ n − 1.

Upper bound:

n∏k=1

(Ak − (Ak)k,k I ) = 0 for any A1, . . . ,An ∈ Tn(F).

Generating set for Tn(F):

S = {Ek,k ,Ek,k+1,En,n|k = 1, . . . , n − 1}, l(S) = n − 1.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 7 / 15

Page 23: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Lengths of upper-triangular matrix subalgebras

Let Tn(F) denote the F-algebra of upper-triangular matrices of size n × n.

Theorem (O.V. Markova, 2005)Let F be an arbitrary field and let A ⊆ Tn(F). Then1. l(Tn(F)) = n − 1;2.l(A) ≤ n − 1.

Upper bound:

n∏k=1

(Ak − (Ak)k,k I ) = 0 for any A1, . . . ,An ∈ Tn(F).

Generating set for Tn(F):

S = {Ek,k ,Ek,k+1,En,n|k = 1, . . . , n − 1}, l(S) = n − 1.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 7 / 15

Page 24: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Upper bound for the length of commutative matrix algebras

Theorem (A. Paz, 1984)Let A be a commutative subalgebra in the full matrix algebra Mn(C) overthe field of complex numbers C. Then l(A) ≤ n − 1.

Theorem (A.E. Guterman, O.V. Markova, 2009)

Let F be an arbitrary field and let A be a a commutative subalgebra in thematrix algebra Mn(F). Then1. l(A) ≤ n − 1;2. l(A) = n − 1 iff the algebra A is generated by a nonderogatory matrixC , i.e. by such a matrix C ∈ Mn(F), that

dimF(〈C 0 = En, C , C2, . . . , Cn−1〉) = n.

In the present talk we would like to provide a description of commutativesubalgebras in Mn(F) of the length n − 2 (i.e. with length closest tomaximal value) over algebraically closed fields.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 8 / 15

Page 25: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Upper bound for the length of commutative matrix algebras

Theorem (A. Paz, 1984)Let A be a commutative subalgebra in the full matrix algebra Mn(C) overthe field of complex numbers C. Then l(A) ≤ n − 1.

Theorem (A.E. Guterman, O.V. Markova, 2009)

Let F be an arbitrary field and let A be a a commutative subalgebra in thematrix algebra Mn(F). Then1. l(A) ≤ n − 1;2. l(A) = n − 1 iff the algebra A is generated by a nonderogatory matrixC , i.e. by such a matrix C ∈ Mn(F), that

dimF(〈C 0 = En, C , C2, . . . , Cn−1〉) = n.

In the present talk we would like to provide a description of commutativesubalgebras in Mn(F) of the length n − 2 (i.e. with length closest tomaximal value) over algebraically closed fields.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 8 / 15

Page 26: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Upper bound for the length of commutative matrix algebras

Theorem (A. Paz, 1984)Let A be a commutative subalgebra in the full matrix algebra Mn(C) overthe field of complex numbers C. Then l(A) ≤ n − 1.

Theorem (A.E. Guterman, O.V. Markova, 2009)

Let F be an arbitrary field and let A be a a commutative subalgebra in thematrix algebra Mn(F). Then1. l(A) ≤ n − 1;2. l(A) = n − 1 iff the algebra A is generated by a nonderogatory matrixC , i.e. by such a matrix C ∈ Mn(F), that

dimF(〈C 0 = En, C , C2, . . . , Cn−1〉) = n.

In the present talk we would like to provide a description of commutativesubalgebras in Mn(F) of the length n − 2 (i.e. with length closest tomaximal value) over algebraically closed fields.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 8 / 15

Page 27: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

The following theorem shows that the problem can be reduced to the caseof nilpotent subalgebras of the length n − 2:

TheoremLet F be an algebraically closed field and let n ∈ N, n ≥ 2. Consider acommutative subalgebra A in Mn(F) of the length l(A) = n − 2. Thenthere exist a number m ∈ N, 2 ≤ m ≤ n, a commutative subalgebraB ⊆ Mm(F) of the length m − 2 and of the type FI +N , where N is anilpotent algebra, and if m < n, a commutative subalgebra C ⊆ Mn−m(F)generated by a nonderogatory matrix such that A is conjugated to thealgebra B ⊕ C.

Proof ideas: if A is not local itself, it is conjugated to a direct sum of somesmaller commutative matrix algebras R and T of sizes r and t, r + t = n.For direct sum l(R⊕ T ) ≤ l(R) + l(T ) + 1 (O.M., 2005). Hencer + t − 2 ≤ r − r ′ + t − t ′ + 1, for some integers r ′, t ′ ≥ 1, i.e. r ′ = t ′ = 1or wlog r ′ = 2, t ′ = 1. If the field is large, l(R) = r − 1 & l(T ) = t − 1 ⇒l(A) = n − 1. Thus, only the second option is possible.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 9 / 15

Page 28: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

The following theorem shows that the problem can be reduced to the caseof nilpotent subalgebras of the length n − 2:

TheoremLet F be an algebraically closed field and let n ∈ N, n ≥ 2. Consider acommutative subalgebra A in Mn(F) of the length l(A) = n − 2. Thenthere exist a number m ∈ N, 2 ≤ m ≤ n, a commutative subalgebraB ⊆ Mm(F) of the length m − 2 and of the type FI +N , where N is anilpotent algebra, and if m < n, a commutative subalgebra C ⊆ Mn−m(F)generated by a nonderogatory matrix such that A is conjugated to thealgebra B ⊕ C.

Proof ideas: if A is not local itself, it is conjugated to a direct sum of somesmaller commutative matrix algebras R and T of sizes r and t, r + t = n.For direct sum l(R⊕ T ) ≤ l(R) + l(T ) + 1 (O.M., 2005). Hencer + t − 2 ≤ r − r ′ + t − t ′ + 1, for some integers r ′, t ′ ≥ 1, i.e. r ′ = t ′ = 1or wlog r ′ = 2, t ′ = 1. If the field is large, l(R) = r − 1 & l(T ) = t − 1 ⇒l(A) = n − 1. Thus, only the second option is possible.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 9 / 15

Page 29: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Lemma

Let n ∈ N, n ≥ 3 and let F be an arbitrary field. Consider a commutativelocal subalgebra A in Mn(F) of the type A = FE + J(A). If l(A) = n − 2,then the nilpotency index of the Jacobson radical of the algebra A is equalto n − 1.

Theorem (D.A. Suprunenko, R.I. Tyshkevich, 1966; I.A. Pavlov, 1967)Let n ≥ 3 and let F be an arbitrary field. Consider a commutative nilpotentsubalgebra B in Mn(F) with the nilpotency index equal to n− 1, containinga matrix B which minimal polynomial has the degree n − 1. SetA = FEn + B. Then the algebra A is conjugated in Mn(F) with one of thefollowing subalgebras:A0;n = 〈In,A,A2, . . . ,An−2〉, where A = E1,2 + · · ·+ En−2,n−1 ∈ Mn(F);A1;n = 〈E1,n, C | C ∈ A0;n〉;A2;n = 〈En,n−1, C | C ∈ A0;n〉;A3;n(α) = 〈E1,n + αEn,n−1, C | C ∈ A0;n〉, n ≥ 4, α ∈ F, α 6= 0.

O. V. Markova (MSU) On the length of matrix algebras 6 June 2014 10 / 15

Page 30: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Lemma

Let n ∈ N, n ≥ 3 and let F be an arbitrary field. Consider a commutativelocal subalgebra A in Mn(F) of the type A = FE + J(A). If l(A) = n − 2,then the nilpotency index of the Jacobson radical of the algebra A is equalto n − 1.

Theorem (D.A. Suprunenko, R.I. Tyshkevich, 1966; I.A. Pavlov, 1967)Let n ≥ 3 and let F be an arbitrary field. Consider a commutative nilpotentsubalgebra B in Mn(F) with the nilpotency index equal to n− 1, containinga matrix B which minimal polynomial has the degree n − 1. SetA = FEn + B. Then the algebra A is conjugated in Mn(F) with one of thefollowing subalgebras:A0;n = 〈In,A,A2, . . . ,An−2〉, where A = E1,2 + · · ·+ En−2,n−1 ∈ Mn(F);A1;n = 〈E1,n, C | C ∈ A0;n〉;A2;n = 〈En,n−1, C | C ∈ A0;n〉;A3;n(α) = 〈E1,n + αEn,n−1, C | C ∈ A0;n〉, n ≥ 4, α ∈ F, α 6= 0.

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Description of commutative matrix algebras of the lengthn − 2

TheoremLet n ≥ 2 and let F be an algebraically closed field. Consider acommutative subalgebra A in Mn(F), containing the identity matrix In.Then l(A) = n − 2 iff the algebra A is conjugated in Mn(F) with one ofthe following algebras:

1. FIn, if n = 2;

2. FI2 ⊕ Cn−2, where Cn−2 ∈ Mn−2(F) is a subalgebra generated by anonderogatory matrix;

3. A0;n;

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Description of commutative matrix algebras of the lengthn − 2

4. A1;n;

5. A2;n;

6. if n = 4, A3;4(1);

7. if n = 4, charF = 2, A4;4 = 〈I4,E1,2 + E3,4, E1,3 + E2,4, E1,4〉;

8. Aj ;m ⊕ Cn−m, where j = 0, 1, 2, 3 ≤ m < n, Cn−m ∈ Mn−m(F) is asubalgebra generated by a nonderogatory matrix.Algebras of the types 3–7 are pairwise non-conjugate.

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Exceptions

TheoremLet m, n ∈ N, n ≥ 4 and let F be an arbitrary field and let C ⊆ Mm(F) be asubalgebra generated by a nonderogatory matrix.Then for any α ∈ F, α 6= 0 it holds that1. l(A3;n(α)) = n − 3 if n ≥ 5;2. l(A3;4(α)⊕ C) ≤ m + 1.

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Page 34: Olga V. MarkovaOn the length of matrix algebras Olga V. Markova (DepartmentofMechanicsandMathematics LomonosovMoscowStateUniversity) The Seventh Linear Algebra Workshop (LAW’14)

Pappacena C. J. An upper bound for the length of a finite-dimensionalalgebra// Journal of Algebra. 1997. №. 197. P. 535-545.

Paz A. An Application of the Cayley–Hamilton theorem to matrixpolynomials in several variables// Linear and Multilinear Algebra. 1984.V. 15. P. 161-170.

Guterman A. E., Markova O. V. Commutative matrix subalgebras andlength function// Linear Algebra and its Applications. 2009. V. 430.P. 1790-1805.

Markova O.V., Characterization of commutative matrix subalgebras ofmaximal length over an arbitrary field// Vestn. Mosk. Univ., Ser. 1,5(2009), 53–55; English transl. in Mosc. Univ. Math. Bull.,64:5(2009), 214–215.

Suprunenko D.A., Tyshkevich R.I., Commutative matrices, AcademicPress, New York, NY, 1968; 2-nd edition, URSS, Moscow, 2003.

Pavlov I.A. On commutative nilpotent algebras of matrices// Dokl.Akad. Nauk BSSR 11:10 (1967). P. 870–872.

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Thank you!

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