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Algebraic Approach to Promise Constraint Satisfaction Alexandr Kazda Department of Algebra Charles University Noon Seminar Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 1 / 11 Disclaimer The results presented are


  1. Algebraic Approach to Promise Constraint Satisfaction Alexandr Kazda Department of Algebra Charles University Noon Seminar Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 1 / 11

  2. Disclaimer The results presented are not mine CS pioneers of algebraic PCSP: Per Austrin, Joshua Brakensiek, Venkatesan Guruswami, and Johan H˚ astad Coming soon: Jakub Bul´ ın, Jakub Oprˇ sal. Algebraic Approach to Promise Constraint Satisfaction Any errors, typos etc. in the presentation belong to me Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 2 / 11

  3. Promise Constraint Satisfaction A , B are relational structures, A → B (wlog A ⊆ B ) PCSP( A , B ): Input relational structure C Output “Yes” if C → A Output “No” if C �→ B Example: PCSP( K 3 , K 4 ). PCSP( K 3 , K 4 ) is NP-hard because all of its polymorphisms are “almost projections” Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 3 / 11

  4. Pol( A , B ) Pol( A , B ) are all polymorphisms from A to B Polymorphism f : A n → B sends R A into R B Pol( A , B ) determines complexity of PCSP( A , B ) up to logspace reductions Can’t compose, but can take minors: f ( x 1 , x 2 , x 3 , x 4 , x 5 ) ∈ Pol( A , B ) ⇒ f ( x 2 , x 2 , x 16 , x 4 , x 5 ) ∈ Pol( A , B ) If A ⊆ B then Pol( A , B ) contains all projections π i ( x 1 , . . . , x n ) = x i Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 4 / 11

  5. Minions A minor closed set clonoid minion C on sets A , B is a nonempty family of operations from A to B closed under taking minors Taking minors: σ : [ n ] → [ m ] sends n -ary f to m -ary f σ where f σ ( x 1 , . . . , x m ) = f ( x σ (1) , . . . , x σ ( n ) ) Each Pol( A , B ) is a minion Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 5 / 11

  6. Minion homomorphisms φ : C → D preserves arity and commutes with taking minors Another view: homomorphism sends identities of C to identities of D Example: f ( x , x , y ) ≈ g ( x , y , y , z ) ⇒ φ ( f )( x , x , y ) ≈ φ ( g )( x , y , y , z ) sal: For A , B , A ′ , B ′ finite relational structures Jakub Bul´ ın, Jakub Oprˇ Pol( A , B ) → Pol( A ′ , B ′ ) gives a poly-time reduction from PCSP( A ′ , B ′ ) to PCSP( A , B ) Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 6 / 11

  7. The reduction I Have: Pol( A , B ) → Pol( A ′ , B ′ ) Want: PCSP( A ′ , B ′ ) reduces to PCSP( A , B ) PCSP( A , B ) is equivalent to a different promise problem involving “functional equations” (Maltsev conditions). Example reduction: PCSP( K 3 , K 4 ) and input graph a b c Watch the blackboard! G → K 3 ⇒ solution by projections G �→ K 4 ⇒ no solution in Pol( K 3 , K 4 ) Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 7 / 11

  8. The reduction II Have: h : Pol( A , B ) → Pol( A ′ , B ′ ) Want: PCSP( A ′ , B ′ ) reduces to PCSP( A , B ) Input “functional equation” system t ( x 0 , x 0 , x 1 , x 2 ) ≈ s ( x 0 , x 3 ) . . . Given a system of functional equations, answer yes if the system has a solution by projections and no if it has no solution in Pol( A , B ) This problem is equivalent to PCSP( A , B ) (takes work) Existence of h ⇒ if no solution in Pol( A ′ , B ′ ) then no solution in Pol( A , B ) Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 8 / 11

  9. Applications Identities in minions determine PCSP complexity Pol( K 3 , K 4 ) → Pol( K 3 , K 3 ) (nontrivial) so PCSP( K 3 , K 4 ) is NP-hard. If Pol( A , B ) maps to a minion of operations of bounded arity then PCSP( A , B ) is NP-hard More on the way. . . Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 9 / 11

  10. Going beyond homomorphisms Pol( A , B ) → bounded arity minion ⇒ PCSP( A , B ) is NP-hard Libor Barto, Jakub Bul´ ın, Andrei Krokhin, Jakub Oprˇ sal: NP-hard PCSP whose polymorphisms don’t map into a bounded arity minion Our best source of hardness: Reduction from GapLabelCover (variant of PCP) to PCSP. I weakened homomorphisms to ǫ -homomorphisms and tinkered with them, but it did not work out. TODO: Make sense of PCSP complexity. Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 10 / 11

  11. Thank you for your attention. Alexandr Kazda (Dept of Algebra) Algebraic Approach to PCSP Noon Seminar 11 / 11

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