SLIDE 1 Brauer Trees and Brauer Tree Algebras
Adam Wood
Department of Mathematics University of Iowa
Bradley University Math Colloquium November 14, 2019
SLIDE 2
Outline
Overview of Representation Theory Brauer Trees Representations of Finite Groups Connection Between Brauer Trees and Representation Theory
SLIDE 3 Representation Theory
Goal: Understand representations of certain algebraic objects
◮ Different approaches and types of representation theory
SLIDE 4 Representation Theory
Goal: Understand representations of certain algebraic objects
◮ Different approaches and types of representation theory ◮ Representations of finite dimensional algebras
SLIDE 5 Representation Theory
Goal: Understand representations of certain algebraic objects
◮ Different approaches and types of representation theory ◮ Representations of finite dimensional algebras ◮ Special case: representations of finite groups
SLIDE 6 Representation Theory
Goal: Understand representations of certain algebraic objects
◮ Different approaches and types of representation theory ◮ Representations of finite dimensional algebras ◮ Special case: representations of finite groups ◮ Indecomposable representations
SLIDE 7 Graph
The main objects in this talk are graphs A graph is a a collection of vertices and edges. If the edges have a specified direction, the graph is directed. Otherwise, the graph is undirected. Examples:
- Undirected Graph
- Directed Graph
SLIDE 8 Brauer Trees
Definition
A Brauer tree is a finite unoriented connected graph T = (T0, T1) with no loops or cycles satisfying the additional properties:
- 1. There is an exceptional vertex with a multiplicity m ≥ 1
- 2. For each vertex v, there is a cyclic ordering of edges incident
with v Notation and conventions:
◮ T0 is the vertex set ◮ T1 is the edge set ◮ The exceptional vertex will be solid or bold; the other vertices
will not be filled in or plain text
◮ We view the graph in the plane and assume a
counterclockwise orientation of the edges
◮ Notation for a Brauer tree: T = (T0, T1, m)
SLIDE 9 Example
T = (T0, T1, m) 4 1 2 3 5
a b c d
T0 = {1, 2, 3, 4, 5} T1 = {a, b, c, d} m = 2 Vertex 4 is the exceptional vertex and has multiplicity 2
SLIDE 10 Example
T = (T0, T1, m) 4 1 2 3 5
a b c d
Orientation at 2 b < a and a < b
SLIDE 11 Example
T = (T0, T1, m) 4 1 2 3 5
a b c d
Orientation at 3 c < b < d < c
SLIDE 12 Example
T = (T0, T1, m) 4 1 2 3 5
a b c d
Orientation at 4 c < c
SLIDE 13 Brauer Trees − → Quivers
Let T = (T0, T1, m) be a Brauer tree.
Definition
A quiver is a finite directed graph Q = (Q0, Q1), where loops and multiple edges are allowed. Build a quiver Q = (Q0, Q1) from T. Q0 = T1, the vertices of Q are the edges of T There is an arrow a : i → j if i < j and j is the “next ” edge after
- i. In this case, a is said to be given by the successor relation (i, j).
SLIDE 14 Example
Recall T = (T0, T1, m) 4 1 2 3 5
a b c d
Q = (Q0, Q1) c a b d
SLIDE 15 Special Cycles
Let v ∈ T0 be a vertex.
◮ If v is not exceptional and #(edges adjacent to v) ≥ 2, then
there is an oriented cycle in Q, unique up to cyclic permutation.
SLIDE 16 Special Cycles
Let v ∈ T0 be a vertex.
◮ If v is not exceptional and #(edges adjacent to v) ≥ 2, then
there is an oriented cycle in Q, unique up to cyclic permutation.
◮ If v is exceptional and #(edges adjacent to v)·m ≥ 2, then
there is an oriented cycle in Q, unique up to cyclic permutation.
SLIDE 17 Special Cycles
Let v ∈ T0 be a vertex.
◮ If v is not exceptional and #(edges adjacent to v) ≥ 2, then
there is an oriented cycle in Q, unique up to cyclic permutation.
◮ If v is exceptional and #(edges adjacent to v)·m ≥ 2, then
there is an oriented cycle in Q, unique up to cyclic permutation.
◮ Call this cycle the special cycle at v.
SLIDE 18 Special Cycles
Let v ∈ T0 be a vertex.
◮ If v is not exceptional and #(edges adjacent to v) ≥ 2, then
there is an oriented cycle in Q, unique up to cyclic permutation.
◮ If v is exceptional and #(edges adjacent to v)·m ≥ 2, then
there is an oriented cycle in Q, unique up to cyclic permutation.
◮ Call this cycle the special cycle at v. ◮ If the cycle starts at i ∈ Q0 = G1, call it the special i-cycle at
v.
SLIDE 19 Example
T = (T0, T1, m) 4 1 2 3 5
a b c d
Q = (Q0, Q1) c a b d Special cycle at 2
SLIDE 20 Example
T = (T0, T1, m) 4 1 2 3 5
a b c d
Q = (Q0, Q1) c a b d Special cycle at 3
SLIDE 21 Example
T = (T0, T1, m) 4 1 2 3 5
a b c d
Q = (Q0, Q1) c a b d Special cycle at 4
SLIDE 22 Brauer Tree − → Algebra
Let T = (T0, T1, m). There are two ways of building an algebra
- ver a field k associated to T.
- 1. Get the associated quiver Q, define certain relations I, and
define ΓT = kQ/I to be the path algebra with relations.
- 2. Define an algebra ΛT over k by defining the projective
indecomposable Λ-modules via the graph T. These two methods gives the same result. That is, ΓT ∼ = ΛT.
SLIDE 23 ΓT, Path Algebra with Relations
c a b d
γ ι α β δ ǫ
Special a-cycle at 2: αβ Special b-cycle at 2: βα Special c-cycle at 3: γδǫ Special b-cycle at 3: δǫγ Special d-cycle at 3: ǫγδ Special c cycle at 4: ι
SLIDE 24 ΓT, Path Algebra with Relations
c a b d
γ ι α β δ ǫ
Relations βα = δǫγ γδǫ = ι2 αβα = βαβ = γδǫγ = δǫγδ = ǫγδǫ = ι3 = 0 αδ = γβ = ǫι = ιγ = 0
SLIDE 25 ΓT, Path Algebra with Relations
c a b d
γ ι α β δ ǫ
kQ/I is a k-vector space with allowable paths given by α, β, γ, δ, ǫ, ι αβ, βα, δǫ, ǫγ, γδ, ι2 ǫγδ Multiply by concatenating paths
SLIDE 26
Review of Brauer Trees
Brauer Tree Quiver Path Algebra
SLIDE 27
Groups
3 2 1 12 11 10 9 8 7 6 5 4
8
SLIDE 28
Groups
3 2 1 12 11 10 9 8 7 6 5 4
8 + 1
SLIDE 29
Groups
3 2 1 12 11 10 9 8 7 6 5 4
8 + 2
SLIDE 30
Groups
3 2 1 12 11 10 9 8 7 6 5 4
8 + 3
SLIDE 31
Groups
3 2 1 12 11 10 9 8 7 6 5 4
8 + 4
SLIDE 32
Groups
3 2 1 12 11 10 9 8 7 6 5 4
8 + 5
SLIDE 33
Groups
3 2 1 12 11 10 9 8 7 6 5 4
8 + 6
SLIDE 34
Groups
3 2 1 12 11 10 9 8 7 6 5 4
8 + 6 = 2 mod 12
SLIDE 35
Groups
3 2 1 12 11 10 9 8 7 6 5 4
2 + 0 = 2
SLIDE 36
Groups
3 2 1 12 11 10 9 8 7 6 5 4
2
SLIDE 37
Groups
3 2 1 12 11 10 9 8 7 6 5 4
2 − 1
SLIDE 38
Groups
3 2 1 12 11 10 9 8 7 6 5 4
2 − 2
SLIDE 39
Groups
3 2 1 12 11 10 9 8 7 6 5 4
2 − 2 = 0
SLIDE 40 Definition of a Group
Definition
A group is a set G with an operation · so that
◮ g · h ∈ G for all g, h ∈ G (closure) ◮ (a · b) · c = a · (b · c) for all a, b, c ∈ G (associativity) ◮ There is an identity e ∈ G satisfying e · g = g for all g ∈ G
(identity)
◮ For every g ∈ G, there is an inverse element, g−1, so that
g · g−1 = e = g−1 · g (inverse)
SLIDE 41 Examples
◮ (R − {0}, ·)
SLIDE 42 Examples
◮ (R − {0}, ·) ◮ (Z, +)
SLIDE 43 Examples
◮ (R − {0}, ·) ◮ (Z, +) ◮ Z/3Z = {0, 1, 2}, addition modulo 3, 2 + 2 = 1
SLIDE 44 Examples
◮ (R − {0}, ·) ◮ (Z, +) ◮ Z/3Z = {0, 1, 2}, addition modulo 3, 2 + 2 = 1 ◮ (Z, ·) is NOT a group
SLIDE 45
A Representation of a Group
Definition
Let G be a finite group and let k be a field. A representation of G is a group homomorphism ρ : G → GL(V ), where V is a vector space over k. For g ∈ G, we think of ρ(g) as an n × n matrix, where n is the dimension of V over k.
SLIDE 46
Example: Dihedral Group
Consider G = D8 = r, s | r4 = 1 = s2, srs = r−1.
SLIDE 47 Example: Dihedral Group
Consider G = D8 = r, s | r4 = 1 = s2, srs = r−1. r rotation by 90◦ −1 1
reflection about y-axis −1 1
SLIDE 48 Example: Dihedral Group
Consider G = D8 = r, s | r4 = 1 = s2, srs = r−1. r rotation by 90◦ −1 1
reflection about y-axis −1 1
SLIDE 49 Example: Dihedral Group
Consider G = D8 = r, s | r4 = 1 = s2, srs = r−1. r rotation by 90◦ −1 1
reflection about y-axis −1 1
SLIDE 50 Example: Dihedral Group
Consider G = D8 = r, s | r4 = 1 = s2, srs = r−1. r rotation by 90◦ −1 1
reflection about y-axis −1 1
- ρ : G → M2(C) defined by ρ(r) =
−1 1
−1 1
- defines a representation of G.
SLIDE 51
Subrepresentations and Direct Sums
Definition (Direct Sum)
V ⊕ W = V W
SLIDE 52 Subrepresentations and Direct Sums
Definition (Direct Sum)
V ⊕ W = V W
- V and W are subrepresentations of the direct sum of V and W
SLIDE 53 Subrepresentations and Direct Sums
Definition (Direct Sum)
V ⊕ W = V W
- V and W are subrepresentations of the direct sum of V and W
BUT, there are more subrepresentations
SLIDE 54
Irreducible and Indecomposable Representations
Definition
A representation V of G is called simple or irreducible if the only subrepresentations of V are 0 and V .
SLIDE 55
Irreducible and Indecomposable Representations
Definition
A representation V of G is called simple or irreducible if the only subrepresentations of V are 0 and V .
Definition
A representation V is called indecomposable if whenever V = U ⊕ W is a direct sum decomposition of V , either U or W is zero.
SLIDE 56
Irreducible and Indecomposable Representations
Definition
A representation V of G is called simple or irreducible if the only subrepresentations of V are 0 and V .
Definition
A representation V is called indecomposable if whenever V = U ⊕ W is a direct sum decomposition of V , either U or W is zero. Note that simple = ⇒ indecomposable but
SLIDE 57
Irreducible and Indecomposable Representations
Definition
A representation V of G is called simple or irreducible if the only subrepresentations of V are 0 and V .
Definition
A representation V is called indecomposable if whenever V = U ⊕ W is a direct sum decomposition of V , either U or W is zero. Note that simple = ⇒ indecomposable but indecomposable = ⇒ simple.
SLIDE 58
Characteristic of a Field
Z/pZ = {0, 1, . . . , p − 1} Two types of fields: Characteristic zero Prime characteristic Think of: C, Q Fp
SLIDE 59
Characteristic of a Field
Fp = {0, 1, . . . , p − 1}
SLIDE 60 Characteristic of a Field
Fp = {0, 1, . . . , p − 1} Two types of fields:
- Characteristic zero
- Prime characteristic
SLIDE 61 Characteristic of a Field
Fp = {0, 1, . . . , p − 1} Two types of fields:
- Characteristic zero
- Prime characteristic
Think of:
SLIDE 62
Modular Representation Theory
Study of representations of G over k, field of prime characteristic
SLIDE 63
Modular Representation Theory
Study of representations of G over k, field of prime characteristic Every representation can be written as a direct sum of indecomposable representations.
SLIDE 64
Modular Representation Theory
Study of representations of G over k, field of prime characteristic Every representation can be written as a direct sum of indecomposable representations. Understand the indecomposable representations
SLIDE 65
Example: Cyclic Group
Consider G = Z/3Z = {0, 1, 2}, σ = 1, char(k) = 3
SLIDE 66 Example: Cyclic Group
Consider G = Z/3Z = {0, 1, 2}, σ = 1, char(k) = 3 Indecomposable Representations σ → (1) σ → 1 1 1
1 1 1 1 1
SLIDE 67 Brauer Tree and Quiver for a Cyclic Group
G = Z/3Z T = (T0, T1, m)
Q = (Q0, Q1)
where α3 = 0
SLIDE 68
Block Theory
Let G be a finite group and let k be a field. The group ring kG decomposes into pieces called blocks. kG = B1 ⊕ · · · ⊕ Bm Goal: Understand these blocks Each simple representation “belongs” to some block Each block B has a defect group D ≤ G, measures deviation of B from being semisimple as an algebra
Theorem (See Chapter V, Alperin)
If B is a block of kG with cyclic defect group, then B is a Brauer tree algebra
SLIDE 69 Special Linear Groups
Let Fp denote the finite field with p elements Define SL2(Fp) = a b c d
- ∈ Mat2×2(Fp) | a, b, c, d ∈ Fp, ad − bc = 1
- .
|SL2(Fp)| = 1 2p(p − 1)(p + 1) Goal: Understand the indecomposable representations of SL2(Fp)
- ver a field of characteristic p.
SLIDE 70 Example: Special Linear Groups
Consider the group SL2(F7) Two blocks, odd block and even block Brauer Tree for odd block
5 3
Quiver for odd block 1 5 3
α1 α2 β1 β2 α
SLIDE 71 Brauer Tree Algebra
5 3
1 5 3
α1 α2 β1 β2 α
Relations I = β1α1β1, α1β1, β2α2, α2β2, α2, α2α1, β1β2, αα2, β2α Only allowable loops in kQ/I are β1α1 and α For rest of talk, let Λ = kQ/I
SLIDE 72
Strings in Λ
Butler and Ringel, “Auslander-Reiten Sequences with Few Middle Terms and Applications to String Algebras,” Communications in Algebra (1987)
SLIDE 73
Strings in Λ
Butler and Ringel, “Auslander-Reiten Sequences with Few Middle Terms and Applications to String Algebras,” Communications in Algebra (1987) {Indecomposable Λ-modules} ← → {Strings in Λ}
SLIDE 74 Strings in Λ
Butler and Ringel, “Auslander-Reiten Sequences with Few Middle Terms and Applications to String Algebras,” Communications in Algebra (1987) {Indecomposable Λ-modules} ← → {Strings in Λ} 1 5 3
α1 α2 β1 β2 α
SLIDE 75 Strings in Λ
Butler and Ringel, “Auslander-Reiten Sequences with Few Middle Terms and Applications to String Algebras,” Communications in Algebra (1987) {Indecomposable Λ-modules} ← → {Strings in Λ} 1 5 3
α1 α2 β1 β2 α
Length 0 e1 e5 e3 Length 1 α1 α2 β1 β2 α Length 2 β1α1 β−1
2 α1
α2β−1
1
αβ−1
2
α−1
2 α
Length 3 αβ−1
2 α1
α−1
2 αβ−1 2
β1α−1
2 α
Length 4 and 5 α−1
2 αβ−1 2 α1
β1α−1
2 αβ−1 2
β1α−1
2 αβ−1 2 α1
SLIDE 76 Auslander-Reiten Quiver
β1 α1 α β1α−1
2 α
e5 αβ−1
2 α1
β1α−1
2 αβ−1 2 α1
α−1
2 α
αβ−1
2
β1α−1
2 αβ−1 2
α−1
2 αβ−1 2 α1
e3 α2β−1
1
α−1
2 αβ−1 2
β−1
2 α1
e1 α2 β2
SLIDE 77 References
J.L. Alperin. Local Representation Theory, Cambridge University Press, 1986. Jean-Pierre Serre. Linear Representations of Finite Groups, Springer-Verlag, 1977. Sotiris Karanikolopoulos. “On holomorphic polydifferentials in positive characteristic”. Mathematische Nachrichten, 285(7):852-877, 2012. Frauke M. Bleher, Ted Chinburg, and Artistides Kontogeorgis. “Galois structure of the holomorphic differentials of curves”. In progress. 2017.