a virtually complete classification of virtual
play

A Virtually Complete Classification of Virtual Complete Intersections - PowerPoint PPT Presentation

Outline Preliminaries Determination of VCIs A Virtually Complete Classification of Virtual Complete Intersections in P 1 P 1 Jiyang Gao, Yutong Li, Amal Mattoo University of Minnesota - Twin Cities REU 2018 1 August 2018 VCIs in P 1 P 1


  1. Outline Preliminaries Determination of VCIs A Virtually Complete Classification of Virtual Complete Intersections in P 1 × P 1 Jiyang Gao, Yutong Li, Amal Mattoo University of Minnesota - Twin Cities REU 2018 1 August 2018 VCIs in P 1 × P 1 Gao, Li, Mattoo 1 / 25

  2. Outline Preliminaries Determination of VCIs 1 Preliminaries Projective Space and Varieties Free and Virtual Resolutions Virtual Complete Intersections (VCIs) 2 Determination of VCIs Overview VCI Existence Cases VCI Non-Existence Conditions on VCIs Conclusion VCIs in P 1 × P 1 Gao, Li, Mattoo 2 / 25

  3. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) The Projective Space P n Definition A projective space P n over the field C is the set of one-dimensional subspaces of the vector space C n +1 . • The coordinate ring of P n is S = C [ x 0 , x 1 , . . . , x n ]. • Grading: Constants have degree 0. Each x i has degree 1. VCIs in P 1 × P 1 Gao, Li, Mattoo 3 / 25

  4. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) The Projective Space P n Definition A projective space P n over the field C is the set of one-dimensional subspaces of the vector space C n +1 . • The coordinate ring of P n is S = C [ x 0 , x 1 , . . . , x n ]. • Grading: Constants have degree 0. Each x i has degree 1. [0 : 1] [1 : 1] [2 : 1] [3 : 1] [4 : 1] P 1 O VCIs in P 1 × P 1 Gao, Li, Mattoo 3 / 25

  5. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) The Projective Space P n Definition A projective space P n over the field C is the set of one-dimensional subspaces of the vector space C n +1 . • The coordinate ring of P n is S = C [ x 0 , x 1 , . . . , x n ]. • Grading: Constants have degree 0. Each x i has degree 1. Definition A projective variety X ⊂ P n is the zero locus of a collection of homogeneous polynomials f α ∈ C [ x 0 , x 1 , . . . , x n ]. VCIs in P 1 × P 1 Gao, Li, Mattoo 3 / 25

  6. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) The Biprojective Space P 1 × P 1 Definition The biprojective space P 1 × P 1 is the set of equivalence classes: P 1 × P 1 := { (( a 0 , a 1 ) , ( b 0 , b 1 )) ∈ C 2 × C 2 � ( a 0 ,a 1 ) � =(0 , 0) and ( b 0 ,b 1 ) � =(0 , 0) } / ∼ � ⇒ x = λy , where x, y ∈ P 1 , λ ∈ C ∗ x ∼ y ⇐ • Varieties ↔ zero locus of bihomogenous f ∈ C [ x 0 , x 1 , y 0 , y 1 ] • Multigrading: deg( x i ) = (1 , 0) , deg( y i ) = (0 , 1) ex. x 2 0 y 0 + x 1 x 2 y 1 has degree (2 , 1). VCIs in P 1 × P 1 Gao, Li, Mattoo 4 / 25

  7. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) The Biprojective Space P 1 × P 1 Definition The biprojective space P 1 × P 1 is the set of equivalence classes: P 1 × P 1 := { (( a 0 , a 1 ) , ( b 0 , b 1 )) ∈ C 2 × C 2 � ( a 0 ,a 1 ) � =(0 , 0) and ( b 0 ,b 1 ) � =(0 , 0) } / ∼ � ⇒ x = λy , where x, y ∈ P 1 , λ ∈ C ∗ x ∼ y ⇐ • Varieties ↔ zero locus of bihomogenous f ∈ C [ x 0 , x 1 , y 0 , y 1 ] • Multigrading: deg( x i ) = (1 , 0) , deg( y i ) = (0 , 1) ex. x 2 0 y 0 + x 1 x 2 y 1 has degree (2 , 1). • Irrelevant ideal: B = � x 0 , x 1 � ∩ � y 0 , y 1 � ↔ V ( B ) = ∅ • Saturation: I : B ∞ = { s ∈ S | sB n ⊂ I for some n } VCIs in P 1 × P 1 Gao, Li, Mattoo 4 / 25

  8. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) The Nullstellensatz The Nullstellensatz establishes a correspondence between ideals and varieties: Theorem Let X be a non-empty variety with the coordinate ring S and irrelevant ideal B . If I ⊆ S is a homogeneous ideal, then there is an inclusion-reversing bijective correspondence: I { V ( I ) � = ∅} V { radical homogeneous B -saturated ideals ⊂ S } − → ← − • V ( I ) := zero locus of all f ∈ I √ • I ( V ( I )) = I VCIs in P 1 × P 1 Gao, Li, Mattoo 5 / 25

  9. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Varieties in P 1 × P 1 Definition P 1 × P 1 := { (( a 0 , a 1 ) , ( b 0 , b 1 )) ∈ C 2 × C 2 � � ( a 0 ,a 1 ) � =(0 , 0) ( b 0 ,b 1 ) � =(0 , 0) } / ∼ [1 : 0] [0 : 1] [1 : 1] [1 : 2] [1 : 3] [1 : 0] [0 : 1] [1 : 1] [1 : 2] [1 : 3] VCIs in P 1 × P 1 Gao, Li, Mattoo 6 / 25

  10. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Varieties in P 1 × P 1 Definition P 1 × P 1 := { (( a 0 , a 1 ) , ( b 0 , b 1 )) ∈ C 2 × C 2 � � ( a 0 ,a 1 ) � =(0 , 0) ( b 0 ,b 1 ) � =(0 , 0) } / ∼ [1 : 0] [0 : 1] [1 : 1] [1 : 2] [1 : 3] [1 : 0] [0 : 1] X = ([0 : 1] , [0 : 1]) [1 : 1] I = � x 0 , y 0 � [1 : 2] [1 : 3] VCIs in P 1 × P 1 Gao, Li, Mattoo 6 / 25

  11. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Varieties in P 1 × P 1 Definition P 1 × P 1 := { (( a 0 , a 1 ) , ( b 0 , b 1 )) ∈ C 2 × C 2 � � ( a 0 ,a 1 ) � =(0 , 0) ( b 0 ,b 1 ) � =(0 , 0) } / ∼ [1 : 0] [0 : 1] [1 : 1] [1 : 2] [1 : 3] [1 : 0] [0 : 1] X = ([0 : 1] , [0 : 1]) ∪ ([1 : 1] , [1 : 1]) [1 : 1] I = � x 0 , y 0 � ∩� x 0 − x 1 , y 0 − y 1 � [1 : 2] [1 : 3] VCIs in P 1 × P 1 Gao, Li, Mattoo 6 / 25

  12. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Free Resolution Definition A free resolution of a module M is an exact sequence of homomorphisms: ϕ 0 ϕ 1 ϕ 2 0 ← − M ← − F 0 ← − F 1 ← − F 2 ← − · · · , • im ϕ i +1 = ker ϕ i at each step • every F i ∼ = R r i is a free module VCIs in P 1 × P 1 Gao, Li, Mattoo 7 / 25

  13. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Minimal Free Resolution Definition A free resolution is minimal if for every ℓ ≥ 1, the nonzero entries of the graded matrix of ϕ ℓ have positive degree. • For each ℓ > 0, ϕ ℓ takes the standard basis of F ℓ to a minimal generating set of im( ϕ ℓ ). • Unique up to isomorphism. • Depends on geometry of points (configuration/cross ratios) VCIs in P 1 × P 1 Gao, Li, Mattoo 8 / 25

  14. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Virtual Resolution Definition A virtual resolution for an ideal I in the biprojective space P 1 × P 1 is a free complex: ϕ 0 ϕ 1 ϕ 2 ϕ 3 0 ← − I ← − S ← − F 1 ← − F 2 ← − · · · such that • F i are free modules for i ≥ 0 � ker( ϕ i ) ⊇ B l • ann � im( ϕ i +1 ) • im( ϕ 1 ) : B ∞ = I : B ∞ . VCIs in P 1 × P 1 Gao, Li, Mattoo 9 / 25

  15. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Complete and Virtual Complete Intersection • X is a complete intersection if I ( X ) has 2 generators.  ([0 : 1] , [1 : 0]) ,  V ( x 0 x 1 ) ([1 : 0] , [1 : 0]) ,   X =   ([0 : 1] , [0 : 1]) ,   V ( y 0 y 1 ) ([1 : 0] , [0 : 1]) = ⇒ I ( X ) = � x 0 x 1 , y 0 y 1 � VCIs in P 1 × P 1 Gao, Li, Mattoo 10 / 25

  16. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Complete and Virtual Complete Intersection • X is a complete intersection if I ( X ) has 2 generators.  ([0 : 1] , [1 : 0]) ,  V ( x 0 x 1 ) ([1 : 0] , [1 : 0]) ,   X =   ([0 : 1] , [0 : 1]) ,   V ( y 0 y 1 ) ([1 : 0] , [0 : 1]) = ⇒ I ( X ) = � x 0 x 1 , y 0 y 1 � • Complete intersection ⇐ ⇒ min. free resolution is Koszul: S 1 ← S 2 ← S 1 ← 0 VCIs in P 1 × P 1 Gao, Li, Mattoo 10 / 25

  17. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) Complete and Virtual Complete Intersection • X is a complete intersection if I ( X ) has 2 generators.  ([0 : 1] , [1 : 0]) ,  V ( x 0 x 1 ) ([1 : 0] , [1 : 0]) ,   X =   ([0 : 1] , [0 : 1]) ,   V ( y 0 y 1 ) ([1 : 0] , [0 : 1]) = ⇒ I ( X ) = � x 0 x 1 , y 0 y 1 � • Complete intersection ⇐ ⇒ min. free resolution is Koszul: S 1 ← S 2 ← S 1 ← 0 Definition An ideal I of points in P 1 × P 1 is a virtual complete intersection (VCI) if I has a short virtual resolution that is Koszul. In particular, V ( I ) = V ( f ) ∩ V ( g ). VCIs in P 1 × P 1 Gao, Li, Mattoo 10 / 25

  18. Outline Projective Space and Varieties Preliminaries Free and Virtual Resolutions Determination of VCIs Virtual Complete Intersections (VCIs) VCI Examples S 1 ← S 2 ← S 1 ← 0 S 1 ← S 6 ← S 8 ← S 3 ← 0 = ⇒ Complete intersection = ⇒ Not complete intersection VCIs in P 1 × P 1 Gao, Li, Mattoo 11 / 25

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend