on the complexity of the cayley semigroup membership
play

On the Complexity of the Cayley Semigroup Membership Problem Lukas - PowerPoint PPT Presentation

On the Complexity of the Cayley Semigroup Membership Problem Lukas Fleischer FMI, University of Stuttgart Universittsstrae 38, 70569 Stuttgart, Germany fleischer@fmi.uni-stuttgart.de June 24, 2018 1 / 16 The Cayley Semigroup Membership


  1. On the Complexity of the Cayley Semigroup Membership Problem Lukas Fleischer FMI, University of Stuttgart Universitätsstraße 38, 70569 Stuttgart, Germany fleischer@fmi.uni-stuttgart.de June 24, 2018 1 / 16

  2. The Cayley Semigroup Membership Problem ◮ CSM : ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ Question: Is t in the subsemigroup generated by X ? 2 / 16

  3. The Cayley Semigroup Membership Problem ◮ CSM : ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ Question: Is t in the subsemigroup generated by X ? ◮ input encoding: ◮ S given as multiplication table ( N 2 log( N ) bits for N = | S | ) ◮ X given as a list of elements ( k log( N ) bits for k = | X | ) ◮ t encoded using log( N ) bits 2 / 16

  4. The Cayley Semigroup Membership Problem ◮ CSM : ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ Question: Is t in the subsemigroup generated by X ? ◮ input encoding: ◮ S given as multiplication table ( N 2 log( N ) bits for N = | S | ) ◮ X given as a list of elements ( k log( N ) bits for k = | X | ) ◮ t encoded using log( N ) bits ◮ CSM ( C ): restriction to semigroups from a class C ◮ Com : commutative semigroups (“ xy = yx ”) ◮ G : groups (“ e 2 = e = ⇒ ex = x = xe ”) ◮ N : nilpotent semigroups (“ e 2 = e = ⇒ ex = e = xe ”) 2 / 16

  5. The Cayley Semigroup Membership Problem ◮ CSM : ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ Question: Is t in the subsemigroup generated by X ? ◮ input encoding: ◮ S given as multiplication table ( N 2 log( N ) bits for N = | S | ) ◮ X given as a list of elements ( k log( N ) bits for k = | X | ) ◮ t encoded using log( N ) bits ◮ CSM ( C ): restriction to semigroups from a class C ◮ Com : commutative semigroups (“ xy = yx ”) ◮ G : groups (“ e 2 = e = ⇒ ex = x = xe ”) ◮ N : nilpotent semigroups (“ e 2 = e = ⇒ ex = e = xe ”) ◮ mostly interested in varieties (classes closed under direct products and division) 2 / 16

  6. Motivation ◮ connections between complexity classes and algebra 3 / 16

  7. Motivation ◮ connections between complexity classes and algebra ◮ The emptiness , universality , inclusion and equivalence problems for regular languages represented by morphisms to finite semigroups (encoded as multiplication table) are AC 0 -Turing-reducible to CSM (and vice versa). 3 / 16

  8. Motivation ◮ connections between complexity classes and algebra ◮ The emptiness , universality , inclusion and equivalence problems for regular languages represented by morphisms to finite semigroups (encoded as multiplication table) are AC 0 -Turing-reducible to CSM (and vice versa). ◮ The reductions “preserve varieties”! 3 / 16

  9. Historical Background ◮ First investigated by Jones, Lien and Laaser (1976): CSM is NL-complete. 4 / 16

  10. Historical Background ◮ First investigated by Jones, Lien and Laaser (1976): CSM is NL-complete. ◮ Barrington and McKenzie (1991): CSM ( G ) is decidable in SL. Suggested that CSM ( G ) might be complete for L. 4 / 16

  11. Historical Background ◮ First investigated by Jones, Lien and Laaser (1976): CSM is NL-complete. ◮ Barrington and McKenzie (1991): CSM ( G ) is decidable in SL. Suggested that CSM ( G ) might be complete for L. ◮ Barrington, Kadau, Lange and McKenzie (2001): CSM ( Ab ) and CSM ( G nil ) cannot be hard for any class containing Parity (such as ACC 0 , TC 0 , NC 1 , L or NL). 4 / 16

  12. Historical Background ◮ First investigated by Jones, Lien and Laaser (1976): CSM is NL-complete. ◮ Barrington and McKenzie (1991): CSM ( G ) is decidable in SL. Suggested that CSM ( G ) might be complete for L. ◮ Barrington, Kadau, Lange and McKenzie (2001): CSM ( Ab ) and CSM ( G nil ) cannot be hard for any class containing Parity (such as ACC 0 , TC 0 , NC 1 , L or NL). ◮ Group case remained open! 4 / 16

  13. Historical Background ◮ First investigated by Jones, Lien and Laaser (1976): CSM is NL-complete. ◮ Barrington and McKenzie (1991): CSM ( G ) is decidable in SL. Suggested that CSM ( G ) might be complete for L. ◮ Barrington, Kadau, Lange and McKenzie (2001): CSM ( Ab ) and CSM ( G nil ) cannot be hard for any class containing Parity (such as ACC 0 , TC 0 , NC 1 , L or NL). ◮ Group case remained open! ◮ This talk : Both CSM ( Com ) and CSM ( G ) cannot be hard for any class containing Parity . 4 / 16

  14. Historical Background ◮ First investigated by Jones, Lien and Laaser (1976): CSM is NL-complete. ◮ Barrington and McKenzie (1991): CSM ( G ) is decidable in SL. Suggested that CSM ( G ) might be complete for L. ◮ Barrington, Kadau, Lange and McKenzie (2001): CSM ( Ab ) and CSM ( G nil ) cannot be hard for any class containing Parity (such as ACC 0 , TC 0 , NC 1 , L or NL). ◮ Group case remained open! ◮ This talk : Both CSM ( Com ) and CSM ( G ) cannot be hard for any class containing Parity . ◮ Also : NL-completeness of CSM ( N ) and further results. 4 / 16

  15. An NL-algorithm for CSM ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S 5 / 16

  16. An NL-algorithm for CSM ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ t is in the subsemigroup generated by X if and only if there exist elements x 1 , . . . , x k ∈ X with x 1 · · · x k = t . 5 / 16

  17. An NL-algorithm for CSM ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ t is in the subsemigroup generated by X if and only if there exist elements x 1 , . . . , x k ∈ X with x 1 · · · x k = t . ◮ Single elements can be stored in log-space, multiplications can be performed in log-space. 5 / 16

  18. An NL-algorithm for CSM ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ t is in the subsemigroup generated by X if and only if there exist elements x 1 , . . . , x k ∈ X with x 1 · · · x k = t . ◮ Single elements can be stored in log-space, multiplications can be performed in log-space. ◮ Start by guessing an element x 1 ∈ X and set y := x 1 . 5 / 16

  19. An NL-algorithm for CSM ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ t is in the subsemigroup generated by X if and only if there exist elements x 1 , . . . , x k ∈ X with x 1 · · · x k = t . ◮ Single elements can be stored in log-space, multiplications can be performed in log-space. ◮ Start by guessing an element x 1 ∈ X and set y := x 1 . ◮ Iterate: Guess an element x i +1 ∈ X and set y := y · x i +1 . 5 / 16

  20. An NL-algorithm for CSM ◮ Input: finite semigroup S , set X ⊆ S , element t ∈ S ◮ t is in the subsemigroup generated by X if and only if there exist elements x 1 , . . . , x k ∈ X with x 1 · · · x k = t . ◮ Single elements can be stored in log-space, multiplications can be performed in log-space. ◮ Start by guessing an element x 1 ∈ X and set y := x 1 . ◮ Iterate: Guess an element x i +1 ∈ X and set y := y · x i +1 . ◮ Non-deterministically stop iteration and compare y to t . 5 / 16

  21. Nilpotent Semigroups Theorem CSM ( N ) is NL -complete (under AC 0 reductions). 6 / 16

  22. Nilpotent Semigroups Theorem CSM ( N ) is NL -complete (under AC 0 reductions). Proof. ◮ We reduce STConn to CSM ( N ). 6 / 16

  23. Nilpotent Semigroups Theorem CSM ( N ) is NL -complete (under AC 0 reductions). Proof. ◮ We reduce STConn to CSM ( N ). ◮ Let G = ( V , E ) be a directed graph with n vertices. 6 / 16

  24. Nilpotent Semigroups Theorem CSM ( N ) is NL -complete (under AC 0 reductions). Proof. ◮ We reduce STConn to CSM ( N ). ◮ Let G = ( V , E ) be a directed graph with n vertices. ◮ Let S = V × { 1 , . . . , n − 1 } × V ∪ { 0 } with � ( v , i + j , y ) if w = x and i + j < n , ( v , i , w ) · ( x , j , y ) = 0 otherwise. ◮ 0 is a zero element. 6 / 16

  25. Nilpotent Semigroups Theorem CSM ( N ) is NL -complete (under AC 0 reductions). Proof. ◮ We reduce STConn to CSM ( N ). ◮ Let G = ( V , E ) be a directed graph with n vertices. ◮ Let S = V × { 1 , . . . , n − 1 } × V ∪ { 0 } with � ( v , i + j , y ) if w = x and i + j < n , ( v , i , w ) · ( x , j , y ) = 0 otherwise. ◮ 0 is a zero element. ◮ X = { ( v , 1 , w ) | v = w or ( v , w ) ∈ E } 6 / 16

  26. Nilpotent Semigroups Theorem CSM ( N ) is NL -complete (under AC 0 reductions). Proof. ◮ We reduce STConn to CSM ( N ). ◮ Let G = ( V , E ) be a directed graph with n vertices. ◮ Let S = V × { 1 , . . . , n − 1 } × V ∪ { 0 } with � ( v , i + j , y ) if w = x and i + j < n , ( v , i , w ) · ( x , j , y ) = 0 otherwise. ◮ 0 is a zero element. ◮ X = { ( v , 1 , w ) | v = w or ( v , w ) ∈ E } ◮ ( s , n − 1 , t ) ∈ � X � if and only if t is reachable from s in G . 6 / 16

  27. Nilpotent Semigroups Theorem CSM ( N ) is NL -complete (under AC 0 reductions). Proof. ◮ We reduce STConn to CSM ( N ). ◮ Let G = ( V , E ) be a directed graph with n vertices. ◮ Let S = V × { 1 , . . . , n − 1 } × V ∪ { 0 } with � ( v , i + j , y ) if w = x and i + j < n , ( v , i , w ) · ( x , j , y ) = 0 otherwise. ◮ 0 is a zero element. ◮ X = { ( v , 1 , w ) | v = w or ( v , w ) ∈ E } ◮ ( s , n − 1 , t ) ∈ � X � if and only if t is reachable from s in G . ◮ 0 is the only idempotent of S . 6 / 16

  28. Circuit Complexity ◮ unbounded fan-in Boolean circuits 7 / 16

  29. Circuit Complexity ◮ unbounded fan-in Boolean circuits ◮ AC 0 : polynomial size and constant depth 7 / 16

Recommend


More recommend