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A combinatorial analysis of Severi degrees Fu Liu A combinatorial analysis of Severi degrees Fu Liu University of California, Davis The 16th Meeting of CombinaTexas Texas A&M University May 6, 2016 Page 1 A combinatorial analysis of


  1. A combinatorial analysis of Severi degrees Fu Liu A combinatorial analysis of Severi degrees Fu Liu University of California, Davis The 16th Meeting of CombinaTexas Texas A&M University May 6, 2016 Page 1

  2. A combinatorial analysis of Severi degrees Fu Liu Outline • Background on Severi degrees (classical and generalized ones) • Computing Severi degrees via long-edge graphs – Introduce combinatorial objects in Fomin-Mikhalkin’s formula for computing classical Severi degrees – Two main results: Vanishing Lemma and Linearity Theorem – First application • Severi degrees on toric surfaces (joint work with Brian Osserman) – Introduce Ardila-Block’s formula for computing Severi degrees for certain toric surfaces – Second application Page 2

  3. A combinatorial analysis of Severi degrees Fu Liu PART I: Background on Severi degrees Summary : We introduce classical and generalized Severi degrees and relevant results, finishing with the original motivation of this work. Page 3

  4. A combinatorial analysis of Severi degrees Fu Liu Classical Severi degree • N d,δ counts the number of curves of degree d with δ nodes passing through d ( d + 3) − δ general points in CP 2 . 2 • N d,δ is the degree of the Severi variety. • N d,δ = N d, ( d − 1)( d − 2) − δ (Gromov-Witten invariant) when d ≥ δ + 2 . 2 Page 4

  5. A combinatorial analysis of Severi degrees Fu Liu Classical Severi degree • N d,δ counts the number of curves of degree d with δ nodes passing through d ( d + 3) − δ general points in CP 2 . 2 • N d,δ is the degree of the Severi variety. • N d,δ = N d, ( d − 1)( d − 2) − δ (Gromov-Witten invariant) when d ≥ δ + 2 . 2 Generalized Severi degree Let L be a line bundle on a complex projective smooth surface Y. • N δ ( Y, L ) counts the number of δ -nodal curves in L passing through dim | L | − δ points in general position. • N δ ( CP 2 , O CP 2 ( d )) = N d,δ . Page 4

  6. A combinatorial analysis of Severi degrees Fu Liu Polynomiality of N d,δ • In 1994, Di Francesco and Itzykson conjectured that for fixed δ, the Severi degree N d,δ is given by a node polynomial N δ ( d ) for sufficiently large d . Page 5

  7. A combinatorial analysis of Severi degrees Fu Liu Polynomiality of N d,δ • In 1994, Di Francesco and Itzykson conjectured that for fixed δ, the Severi degree N d,δ is given by a node polynomial N δ ( d ) for sufficiently large d . • In 2009, Fomin and Mikhalkin showed that N d,δ is given by a node polynomial N δ ( d ) for d ≥ 2 δ . We call d ≥ 2 δ the threshold bound for polynomiality of N d,δ . Page 5

  8. A combinatorial analysis of Severi degrees Fu Liu Polynomiality of N d,δ • In 1994, Di Francesco and Itzykson conjectured that for fixed δ, the Severi degree N d,δ is given by a node polynomial N δ ( d ) for sufficiently large d . • In 2009, Fomin and Mikhalkin showed that N d,δ is given by a node polynomial N δ ( d ) for d ≥ 2 δ . We call d ≥ 2 δ the threshold bound for polynomiality of N d,δ . • In 2011, Block improved the threshold bound to d ≥ δ . Page 5

  9. A combinatorial analysis of Severi degrees Fu Liu Polynomiality of N d,δ • In 1994, Di Francesco and Itzykson conjectured that for fixed δ, the Severi degree N d,δ is given by a node polynomial N δ ( d ) for sufficiently large d . • In 2009, Fomin and Mikhalkin showed that N d,δ is given by a node polynomial N δ ( d ) for d ≥ 2 δ . We call d ≥ 2 δ the threshold bound for polynomiality of N d,δ . • In 2011, Block improved the threshold bound to d ≥ δ . • In 2012, Kleiman and Shende lowered the bound further to d ≥ ⌈ δ/ 2 ⌉ + 1. Page 5

  10. A combinatorial analysis of Severi degrees Fu Liu G¨ ottsche’s conjecture In 1998, G¨ ottsche conjectured the following: (i) For every fixed δ , there exists a universal polynomial T δ ( w, x, y, z ) of degree δ such that N δ ( Y, L ) = T δ ( L 2 , L · K , K 2 , c 2 ) whenever Y is smooth and L is (5 δ − 1)-ample, where K and c 2 are the canonical class and second Chern class of Y , respectively. Page 6

  11. A combinatorial analysis of Severi degrees Fu Liu G¨ ottsche’s conjecture In 1998, G¨ ottsche conjectured the following: (i) For every fixed δ , there exists a universal polynomial T δ ( w, x, y, z ) of degree δ such that N δ ( Y, L ) = T δ ( L 2 , L · K , K 2 , c 2 ) whenever Y is smooth and L is (5 δ − 1)-ample, where K and c 2 are the canonical class and second Chern class of Y , respectively. (ii) Moreover, there exist power series B 1 ( q ) and B 2 ( q ) such that z + w 12 + x − y 2 B 1 ( q ) z B 2 ( q ) y T δ ( x, y, z, w )( DG 2 ( q )) δ = ( DG 2 ( q ) /q ) � , z + w (∆( q ) D 2 G 2 ( q ) /q 2 ) 24 δ ≥ 0 �� � 24 + � q n is the second Eisenstein series, where G 2 ( q ) = − 1 d | n d n> 0 dq and ∆( q ) = q � k> 0 (1 − q k ) 24 is the modular discriminant. D = q d The above formula is known as the G¨ ottsche-Yau-Zaslow formula . Page 6

  12. A combinatorial analysis of Severi degrees Fu Liu G¨ ottsche’s conjecture (cont’d) • In 2010, Tzeng proved G¨ ottsche’s conjecture (both parts). • In 2011, Kool, Shende and Thomas proved part (i) of G¨ ottsche’s con- jecture, i.e., the assertion of the existence of a universal polynomial, with a sharper bound on the necessary threshold on the ampleness of L . Page 7

  13. A combinatorial analysis of Severi degrees Fu Liu G¨ ottsche’s conjecture (cont’d) • In 2010, Tzeng proved G¨ ottsche’s conjecture (both parts). • In 2011, Kool, Shende and Thomas proved part (i) of G¨ ottsche’s con- jecture, i.e., the assertion of the existence of a universal polynomial, with a sharper bound on the necessary threshold on the ampleness of L . Connection to node polynomial N d,δ = N δ ( Y, L ) when Y = CP 2 , L = O CP 2 ( d ), in which case the four topological numbers become: L 2 = d 2 , L · K = − 3 d, K 2 = 9 , c 2 = 3 . Thus, N δ ( d ) = T δ ( d 2 , − 3 d, 9 , 3) . Page 7

  14. A combinatorial analysis of Severi degrees Fu Liu A consequence of the GYZ formula Recall the G¨ ottsche-Yau-Zaslow’s formula 12 + x − y z + w 2 B 1 ( q ) z B 2 ( q ) y T δ ( x, y, z, w )( DG 2 ( q )) δ = ( DG 2 ( q ) /q ) � , z + w (∆( q ) D 2 G 2 ( q ) /q 2 ) 24 δ ≥ 0 Proposition (G¨ ottsche) . If we form the generating function � T δ ( w, x, y, z ) t δ , N ( t ) := δ ≥ 0 and set Q ( t ) := log N ( t ) , then Q ( t ) = wA 1 ( t ) + xA 2 ( t ) + yA 3 ( t ) + zA 4 ( t ) . for some A 1 , A 2 , A 3 , A 4 ∈ Q [[ t ]] . In other words, Q δ ( w, x, y, z ) := [ t δ ] Q ( t ) is a linear function in w, x, y, z. Page 8

  15. A combinatorial analysis of Severi degrees Fu Liu A consequence of the GYZ formula Recall the G¨ ottsche-Yau-Zaslow’s formula z + w 12 + x − y 2 B 1 ( q ) z B 2 ( q ) y T δ ( x, y, z, w )( DG 2 ( q )) δ = ( DG 2 ( q ) /q ) � , z + w (∆( q ) D 2 G 2 ( q ) /q 2 ) 24 δ ≥ 0 Proposition (G¨ ottsche) . If we form the generating function � T δ ( w, x, y, z ) t δ , N ( t ) := δ ≥ 0 and set Q ( t ) := log N ( t ) , then Q ( t ) = wA 1 ( t ) + xA 2 ( t ) + yA 3 ( t ) + zA 4 ( t ) . for some A 1 , A 2 , A 3 , A 4 ∈ Q [[ t ]] . In other words, Q δ ( w, x, y, z ) := [ t δ ] Q ( t ) is a linear function in w, x, y, z. We call Q δ ( w, x, y, z ) the logarithmic version of T δ ( w, x, y, z ) . Page 8

  16. A combinatorial analysis of Severi degrees Fu Liu Logarithmic versions of Severi degrees We let Q δ ( Y, L ) be the logarithmic version of the generalized Severi degree N δ ( Y, L ) , that is, �� � � Q δ ( Y, L ) t δ = log N δ ( Y, L ) t δ . δ ≥ 1 δ ≥ 0 Corollary. For any fixed δ , there is a linear function Q δ ( w, x, y, z ) (as we defined earlier) such that Q δ ( Y, L ) = Q δ ( L 2 , L · K , K 2 , c 2 ) whenever Y is smooth and L is sufficiently ample, where K and c 2 are the canonical class and second Chern class of Y , respectively. Page 9

  17. A combinatorial analysis of Severi degrees Fu Liu Logarithmic versions of Severi degrees (cont’d) Similarly, we let Q d,δ be the logarithmic version of the classical Severi degree N d,δ , and Q δ ( d ) the logarithmic version of the node polynomial N δ ( d ). Corollary. For fixed δ, Q d,δ is given by Q δ ( d ) which is a quadratic poly- nomial in d , for sufficiently large d. Proof. Recall that N δ ( d ) = T δ ( d 2 , − 3 d, 9 , 3) . Hence, Q δ ( d ) = Q δ ( d 2 , − 3 d, 9 , 3) . Page 10

  18. A combinatorial analysis of Severi degrees Fu Liu Logarithmic versions of Severi degrees (cont’d) Similarly, we let Q d,δ be the logarithmic version of the classical Severi degree N d,δ , and Q δ ( d ) the logarithmic version of the node polynomial N δ ( d ). Corollary. For fixed δ, Q d,δ is given by Q δ ( d ) which is a quadratic poly- nomial in d , for sufficiently large d. Proof. Recall that N δ ( d ) = T δ ( d 2 , − 3 d, 9 , 3) . Hence, Q δ ( d ) = Q δ ( d 2 , − 3 d, 9 , 3) . Original Motivation Fomin-Mikhalkin’s proof for the polynomiality of N d,δ is combinatorial. Can we give a direct combinatorial proof for the above corollary? Page 10

  19. A combinatorial analysis of Severi degrees Fu Liu PART II: Computing Severi degrees via long-edge graphs Summary : We introduce long-edge graphs and Fomin-Mikhalkin’s for- mula for computing classical Severi degrees and discuss our two main re- sults, using which we give a combinatorial proof for the quadradicity of Q d,δ . Page 11

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