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Thralls problem: cyclic sieving, necklaces, and branching rules FPSAC 2019 in Ljubljana, Slovenia July 2nd, 2019 Joshua P. Swanson University of California, San Diego Based on joint work with Connor Ahlbach arXiv:1808.06043 Published


  1. Thrall’s problem: cyclic sieving, necklaces, and branching rules FPSAC 2019 in Ljubljana, Slovenia July 2nd, 2019 Joshua P. Swanson University of California, San Diego Based on joint work with Connor Ahlbach arXiv:1808.06043 Published version in Electron. J. Combin. 25 (2018): [AS18a] Slides: http://www.math.ucsd.edu/~jswanson/talks/2019_FPSAC.pdf

  2. Outline ◮ We first apply the cyclic sieving phenomenon of Reiner–Stanton–White to prove Schur expansions due to Kra´ skiewicz–Weyman related to Thrall’s problem . ◮ The resulting argument is remarkably simple and nearly bijective . It is a rare example of the CSP being used to prove other results , rather than vice-versa. ◮ We then apply our approach to prove other results of Stembridge and Schocker. ◮ Guided by our experience, we suggest a new approach to Thrall’s problem.

  3. Thrall’s problem What is Thrall’s problem? Definition Let... ◮ V be a finite-dimensional vector space over C ; ◮ T ( V ) := ⊕ n ≥ 0 V ⊗ n be the tensor algebra of V ; ◮ L ( V ) be the free Lie algebra on V , namely the Lie subalgebra of T ( V ) generated by V ; ◮ L n ( V ) := L ( V ) ∩ V ⊗ n be the nth Lie module ; ◮ U ( L ( V )) be the universal enveloping algebra of L ( V ); and ◮ Sym m ( M ) be the m th symmetric power of a vector space M .

  4. Thrall’s problem By an appropriate version of the Poincar´ e–Birkhoff–Witt Theorem, T ( V ) ∼ = U ( L ( V )) ∼ � Sym m 1 ( L 1 ( V )) ⊗ Sym m 2 ( L 2 ( V )) ⊗ · · · = λ =1 m 1 2 m 2 ··· as graded GL( V )-modules. Definition (Thrall [Thr42]) The higher Lie module associated to λ = 1 m 1 2 m 2 · · · is L λ ( V ) := Sym m 1 ( L 1 ( V )) ⊗ Sym m 2 ( L 2 ( V )) ⊗ · · · . Thus we have a canonical GL( V )-module decomposition T ( V ) ∼ = ⊕ λ ∈ Par L λ ( V ) . Question ( Thrall’s Problem ) What are the irreducible decompositions of the L λ ( V )?

  5. Thrall’s problem L λ ( V ) := Sym m 1 ( L 1 ( V )) ⊗ Sym m 2 ( L 2 ( V )) ⊗ · · · . ◮ The Littlewood–Richardson rule reduces Thrall’s problem to the rectangular case λ = ( a b ) with b rows of length a . ◮ In the rectangular case, L ( a b ) ( V ) = Sym b L a ( V ) ◮ In the one-row case, L ( a ) ( V ) = L a ( V ) . Kra´ skiewicz–Weyman [KW01] solved Thrall’s problem in the one-row case . We next describe their answer.

  6. Partitions Definition A partition λ of n is a sequence of positive integers λ 1 ≥ λ 2 ≥ · · · such that � i λ i = n . Partitions can be visualized by their Ferrers diagram λ = (5 , 3 , 1) ↔ Theorem (Young, early 1900’s) The complex inequivalent irreducible representations S λ of S n are canonically indexed by partitions of n.

  7. Standard tableaux Definition A standard Young tableau ( SYT ) of shape λ ⊢ n is a filling of the cells of the Ferrers diagram of λ with 1 , 2 , . . . , n which increases along rows and decreases down columns . T = 11 33 6 77 9 ∈ SYT( λ ) 2 5 8 4 Descent set: { 1 , 3 , 7 } . Major index: 1 + 3 + 7 = 11. Definition The descent set of T ∈ SYT( λ ) is the set Des( T ) := { 1 ≤ i < n : i + 1 is in a lower row of T than i } . The major index of T ∈ SYT( λ ) is maj( T ) := � i ∈ Des( T ) i .

  8. Thrall’s problem Definition Let a λ, r := # { T ∈ SYT( λ ) : maj( T ) ≡ n r } . Theorem (Kra´ skiewicz–Weyman [KW01]) The multiplicity of the GL( V ) -irreducible V λ in L n ( V ) is a λ, 1 .

  9. Thrall’s problem Kra´ skiewicz–Weyman’s argument hinges on the following key formula: SYT( λ ) maj ( ω r n ) = χ λ ( σ r n ) (1) for all r ∈ Z , where: � SYT( λ ) maj ( q ) := q maj( T ) , T ∈ SYT( λ ) ◮ ω n is any primitive n th root of unity, ◮ χ λ ( σ ) is the character of S λ at σ , and ◮ σ n = (1 2 · · · n ) ∈ S n . Their approach involves results of Lusztig and Stanley on coinvariant algebras and an intricate though beautiful argument involving ℓ -decomposable partitions. The key formula bears a striking resemblance to the cyclic sieving phenomenon of Reiner–Stanton–White, which we describe next.

  10. Words Definition ◮ A word is a sequence w = w 1 w 2 · · · w n s.t. w i ∈ Z ≥ 1 . ◮ W n is the set of words of length n . ◮ The content of w is the weak composition α = ( α 1 , α 2 , . . . ) where α j = # { i : w i = j } . ◮ W α is the set of words of content α . For example, w = 412144 ∈ W (2 , 1 , 0 , 3) ⊂ W 6 .

  11. Major index on words Definition (MacMahon, early 1900’s) The descent set of w ∈ W n is Des( w ) := { 1 ≤ i ≤ n − 1 : w i > w i +1 } . The major index is � maj( w ) := i . i ∈ Des( w ) For example, Des(412144) = Des(4 . 12 . 144) = { 1 , 3 } maj(412144) = 1 + 3 = 4 .

  12. Major index on words Theorem (MacMahon [Mac]) The major index generating function on W α ⊂ W n is � n � [ n ] q ! q maj( w ) = � W maj α ( q ) := i ≥ 1 [ α i ] q ! = � α q w ∈ W α where [ n ] q := (1 − q n ) / (1 − q ) = 1 + q + · · · + q n − 1 and [ n ] q ! := [ n ] q [ n − 1] q · · · [1] q .

  13. Major index on words � n � W maj α ( q ) = α q � n � n � � We have q =1 = = # W α . α α Exercise Let ω d be any primitive d th root of unity. If d | n , �� n / d � if d | α 1 , α 2 , . . . � n � α 1 / d ,α 2 / d ,... = α 0 otherwise . q = ω d Question � n � What does q = ω d count? α

  14. Major index on words Definition Let σ n := (1 2 · · · n ) ∈ S n be the standard n -cycle. Let C n := � σ n � , which acts on each W α ⊂ W n by rotation. Exercise If σ ∈ C n has order d | n , then #W σ α := # { w ∈ W α : σ ( w ) = w } �� n / d � if d | α 1 , α 2 , . . . α 1 / d ,α 2 / d ,... = 0 otherwise . Corollary For all σ ∈ C n of order d | n, W maj α ( ω d ) = # W σ α .

  15. The cyclic sieving phenomenon Definition (Reiner–Stanton–White [RSW04]) Let X be a finite set on which a cyclic group C of order n acts and suppose X ( q ) ∈ Z [ q ]. The triple ( X , C , X ( q )) exhibits the cyclic sieving phenomenon ( CSP ) if for all elements σ d ∈ C of order d , X ( ω d ) = # X σ d . Remark ◮ d = 1 gives X (1) = # X , so X ( q ) is a q-analogue of # X . ◮ # X σ d = Tr C { X } ( σ d ), so the CSP says that evaluations of X ( q ) encode the isomorphism type of the C -action on X . ◮ X ( q ) is uniquely determined modulo q n − 1. If deg X ( q ) < n , the k th coefficient of X ( q ) is the number of elements of X whose stabilizer has order dividing k .

  16. The cyclic sieving phenomenon Theorem ([RSW04, Prop. 4.4]) The triple (W α , C n , W maj α ( q )) exhibits the CSP. That is, maj is a “universal” cyclic sieving statistic on words W n for the S n -action in the following sense: Corollary ([BER11, Prop. 3.1]) Let W be a finite set of length n words closed under the S n -action. Then, the triple (W , C n , W maj ( q )) exhibits the CSP. Corollary By “changing basis” from Schur functions and irreducible characters to homogeneous symmetric functions and induced trivial characters, Kra´ skiewicz–Weyman’s key formula (1) holds: SYT( λ ) maj ( ω r n ) = χ λ ( σ r n ) .

  17. Schur–Weyl duality To connect cyclic sieving to Thrall’s problem, we require some standard GL( V )-representation theory. Definition The Schur character of a GL( V )-module E is (ch E )( x 1 , . . . , x m ) := Tr E (diag( x 1 , . . . , x m )) , where m = dim( V ). Definition Let M be an S n -module. The Schur–Weyl dual of M is the GL( V )-module E ( M ) := V ⊗ n ⊗ C S n M . Theorem ( Schur–Weyl duality ) For any S n -module M, m →∞ ch E ( M ) = ch( M ) . lim

  18. Thrall’s problem and necklaces Definition ◮ A necklace is a C n -orbit [ w ] of a word w ∈ W n , e.g. [221221] = { 221221 , 122122 , 212212 } . ◮ [221] has trivial stabilizer so is primitive . ◮ [221221] is not primitive and has frequency 2 since it’s made of two copies of a primitive word.

  19. Thrall’s problem and necklaces Proposition (Klyachko [Kly74]) There is a weight space basis for E (exp(2 π i / n ) ↑ S n C n ) indexed by primitive necklaces of length n words. Theorem (Marshall Hall [Hal59, Lem. 11.2.1]) L n also has a weight space basis indexed by primitive necklaces. Corollary (Klyachko [Kly74]) The Schur–Weyl dual of exp(2 π i / n ) ↑ S n C n is L n . To apply cyclic sieving, we need generating functions over words, not primitive necklaces.

  20. Thrall’s problem and necklaces Definition Let NFD n , r := { necklaces of length n words with frequency dividing r } . Hence NFD n , 1 consists of primitive necklaces. Proposition ([AS18a]) There is a weight space basis for E (exp(2 π ir / n ) ↑ S n C n ) indexed by NFD n , r . Corollary We have n n q r ch exp(2 π ir / n ) ↑ S n q r NFD cont � � C n = n , r ( x ) . r =1 r =1 However, as r varies, the NFD n , r are not disjoint .

  21. Flex To fix this, we use the following. Definition ([AS18b]) The statistic flex: W n → Z ≥ 0 is flex( w ) := freq( w ) · lex( w ) where lex( w ) is the position at which w appears in the lexicographic order of its rotations, starting at 1. Example flex(221221) = 2 · 3 = 6 since 221221 is the concatenation of 2 copies of the primitive word 221 and 221221 is third in lexicographic order amongst its 3 cyclic rotations. Lemma We have n q r NFD cont � n , r ( x ) = W cont;flex ( x ; q ) . n r =1

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