Real lines on random cubic surfaces Chiara Meroni ICERM August 28, - - PowerPoint PPT Presentation

real lines on random cubic surfaces
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Real lines on random cubic surfaces Chiara Meroni ICERM August 28, - - PowerPoint PPT Presentation

Real lines on random cubic surfaces Chiara Meroni ICERM August 28, 2020 August 28, 2020 1 / 26 Chiara Meroni Real lines on random cubic surfaces joint work with Rida Ait El Manssour and Mara Belotti based on [BLLP]: Saugata Basu, Antonio


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Real lines on random cubic surfaces

Chiara Meroni ICERM August 28, 2020

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 1 / 26

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joint work with Rida Ait El Manssour and Mara Belotti based on [BLLP]: Saugata Basu, Antonio Lerario, Erik Lundberg, and Chris Peterson. Random fields and the enumerative geometry of lines on real and complex

  • hypersurfaces. Math. Ann., 374(3-4):1773–1810, 2019.

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 2 / 26

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Introduction

Setting

Let K = R or C and consider f ∈ K[x0, x1, x2, x3](3) Definition The cubic surface over the field K associated to f is Z(f ) = {[x0, x1, x2, x3] ∈ KP3 | f (x0, x1, x2, x3) = 0}. Z(f ) ⊂ KP3 is smooth for the generic choice of f . Question: How many lines are there on a generic cubic surface?

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 3 / 26

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Introduction

Complex case

Classical algebraic geometry: Theorem (Cayley, Salmon - 1849) Every smooth cubic surface over an algebraically closed field contains exactly 27 lines.

Figure: Cubic surface with 27 lines

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 4 / 26

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Introduction

Real case

No generic answer! Schläfli (1863) The number of lines on a real smooth cubic surface is 27, 15, 7 or 3. The idea is to substitute the word “generic” with the word “random” and ask Question updated: What is the expected number of lines on a random cubic surface?

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 5 / 26

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Introduction

Put a probability distribution on R[x0, x1, x2, x3](3). Requirements: centered gaussian O(4)-invariant classify such distributions

classify O(4)-invariant scalar products

  • n R[x0, x1, x2, x3](3)

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 6 / 26

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Harmonic decomposition

Harmonic decomposition

More in general let Wn,d = R[x0, . . . xn](d); O(n + 1) acts on Wn,d Aim Find the decomposition of Wn,d into its irreducible subrepresentations. Definition Define Hn

d := {H ∈ Wn,d : ∆H = 0}

to be the space of real homogeneous harmonic polynomials of degree d in n + 1 variables.

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 7 / 26

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Harmonic decomposition

Decomposition Wn,d =

  • d−j∈2N

xd−jHn

j

Each Hn

j is O(n + 1)-invariant and irreducible

The decomposition is orthogonal w.r.t. every invariant scalar product Every invariant scalar product on Hn

j is a multiple of the L2 scalar

product Given f , g ∈ Wn,d we can write f =

j xd−jfj and g = j xd−jgj,

with fj, gj ∈ Hn

j , and we have that

(f , g) =

  • d−j∈2N

µj(fj, gj)2 for some µd, µd−2, . . . > 0.

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 8 / 26

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Harmonic decomposition

From scalar products to probability distributions

Fix a harmonic basis {Hj,i} ⊂ Hn

j , orthonormal with respect to (·, ·)2; then

{

1 √µj Hj,i} is an orthonormal basis of Wn,d with respect to (·, ·).

Random polynomial: P(x) =

  • d−j∈2N

λj

  • i∈Jj

ξj,ixd−jHj,i(x) ξj,i ∼ N(0, 1) where Jj = dim(Hn

j ).

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 9 / 26

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Harmonic decomposition

Back to our case

W3,3 = H3

3 ⊕ x2H3 1

Assume that λ1 + λ3 = 1, then Pλ(x) = λ

 

j∈J3

ξ3,j · H3,j(x)

  + (1 − λ) x2  

j∈J1

ξ1,j · H1,j(x)

 

where ξi,j ∼ N(0, 1) for all i, j and independent. The distributions we are interested in can be parametrized by the single scalar λ ∈ [0, 1].

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 10 / 26

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Kostlan distribution - [BLLP]

Kostlan distribution

In particular for λ = 1

3 we get the Kostlan polynomial:

P(x) = P 1

3 (x) =

  • |α|=3

ξα ·

  • 3!

α0! · · · α3! xα0

0 · · · xα3 3

Theorem (Basu, Lerario, Lundberg, Peterson) The expected number E of real lines on a random Kostlan cubic surface in RP3 is E = 6 √ 2 − 3.

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 11 / 26

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Kostlan distribution - [BLLP]

Strategy

(1) The Grassmannian. Let Gr(2, 4) denote the Grassmannian of 2-planes in R4, and let sym3(τ ∗

2,4) be the 3rd symmetric power of the cotangent of the

tautological bundle on Gr(2, 4). Every f ∈ R[x0, x1, x2, x3](3) defines a section σf of the bundle sym3(τ ∗

2,4):

σf (W ) = f |W . sym3(τ ∗

2,4)

Gr(2, 4)

π σf

The problem of finding the expected number of lines in the surface Z(P) ⊆ RP3 becomes computing E = E#{W ∈ Gr(2, 4) | σP(W ) = 0}.

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 12 / 26

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Kostlan distribution - [BLLP]

(2) Trivialization of the bundle and Kac-Rice formula. Theorem (Kac-Rice formula) Let U ⊂ RN be an open set and X : U → RN be a random map such that: X is gaussian; X is almost surely of class C1; for every t ∈ U the random variable X(t) has a nondegenerate distribution; the probability that X has degenerate zeroes in U is zero; Then, denoting by pX(t) the density function of X(t), for every Borel subset B ⊂ U we have: E#({X = 0} ∩ B) =

  • B

E{|det(JX(t))| | X(t) = 0}pX(t)(0)dt where JX(t) denotes the Jacobian matrix of X(t).

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 13 / 26

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Kostlan distribution - [BLLP]

Kac-Rice formula + trivialization of the (oriented) Grassmannian and its vector bundle

E#{˜ σP = 0} =

  • U

E{|det(J(W ))| | ˜ σP(W ) = 0}p(0, W ) · wGr+(2,4)(W )

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 14 / 26

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Kostlan distribution - [BLLP]

FACTS: E{|det(J(W ))| | ˜ σP(W ) = 0}p(0, W ) is a constant that does not depend on W , because P is O(4) invariant J(W ) and ˜ σP(W ) are independent E = E#{W ∈ Gr(2, 4) | σPλ(W ) = 0} = E{|det(J(W0))|} · p(0, W0) · vol(Gr(2, 4)) where W0 = {x2 = 0, x3 = 0}.

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 15 / 26

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Kostlan distribution - [BLLP]

(3) E{|det(J(W0))|}. Up to a constant the matrix J(W0) is ˆ J =

    

a d √ 2b a √ 2e d c √ 2b f √ 2e c f

    

where a, b, c, d, e, f ∼ N(0, 1). x = bf − ce y = af − cd z = ae − bd

  • |det(ˆ

J )| = |2xz − y2|

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 16 / 26

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Kostlan distribution - [BLLP]

Finally E{|det(ˆ J)|} = 1 4π

  • R3 |2xz − y2|e−|(x,y,z)|

|(x, y, z)|dxdydz and so E = 6 √ 2 − 3

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 17 / 26

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Invariant distributions

All invariant distributions

Theorem (Ait El Manssour, Belotti, M.) The expected number of real lines on the zero set of the random cubic polynomial Pλ equals: Eλ = 9(8λ2 + (1 − λ)2) 2λ2 + (1 − λ)2

  • 2λ2

8λ2 + (1 − λ)2 − 1 3 + 2 3

  • 8λ2 + (1 − λ)2

20λ2 + (1 − λ)2

  • .

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 18 / 26

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Invariant distributions

Strategy

(1) The Grassmannian: as the Kostlan case (2) Trivialization of the bundle and Kac-Rice formula: as the Kostlan case so Eλ = E{|det(J(W0))|}(λ) · p(0, W0)(λ) · vol(Gr(2, 4)) (3) E{|det(J(W0))|}: the key is to find the correct harmonic basis! Pλ(x) = λ

 

j∈J3

ξ3,j · H3,j(x)

  + (1 − λ)  

j∈J1

ξ1,j · x2H1,j(x)

 

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 19 / 26

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Invariant distributions

J(W0) =

    

a − b d − e c a − b f d − e a + b c d + e f a + b d + e

    

where a ∼ d, b ∼ e, c ∼ f and their variance is a function of λ. E{|det(J(W0))|} = = 1 4π

  • R3
  • λ2

6 + (1 − λ)2 48

  • λ2x2 − λ4

4 y2 +

  • λ2

6 + (1 − λ)2 48

  • λ2z2
  • ·

· e−|(x,y,z)| |(x, y, z)| dxdydz

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 20 / 26

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Invariant distributions

Function Eλ

1/3 2/3 1 1 2 3 4 5 6 7 8 9 10 11 12 13 Maximum: E1 = 24

  • 2

5 − 3 ≃ 12, 179

The value λ = 1 corresponds to purely harmonic polynomials of degree 3.

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 21 / 26

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Generalizations p-adics

p-adic case (Ait El Manssour)

f ∈ Qp[x0, x1, x2, x3](3), Z(f ) ⊂ QpP3, GL4(Zp) acts on the space Qp[x0, x1, x2, x3](3); P(x) =

  • |α|=3

ξα xα0

0 · · · xα3 3

(1) The Grassmannian (2) Trivialization of the bundle and Kac-Rice formula E = lim

m→+∞

µ(GrQp (2,4)) λ(Bm) µ(Am)

·

  • Bm

E{| det(Jψ(t))|p | ψ(t)=0}·pψ(t)(0) dt λ(Bm)

=

λ(GL4(Zp)) λ(GL2(Zp)) λ(GL2(Zp)) · E

  • | det(Jψ(0))|p
  • ψ(0)=0
  • · pψ(0)(0)

=

λ(GL4(Zp)) λ(GL2(Zp)) · λ(GL2(Zp)) ·E{| det(Jψ(0))|p} Chiara Meroni Real lines on random cubic surfaces August 28, 2020 22 / 26

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Generalizations p-adics

(3) E {| det(Jψ(0))|p} M =

    

a d b a e d c b f e c f

    

and a, b, c, d, e, f are random variables i.i.d uniformly distributed in Zp. E{| det(M)|p} = lim

n→∞

1 p6n

  • 0≤a,b,c,d,e,f ≤pn−1

|det(M)|p Theorem (Ait El Manssour) The expected number of lines on a random cubic surface in QpP3 is E#{σf = 0} = (p3 − 1)(p2 + 1) p5 − 1 .

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 23 / 26

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Generalizations higher dimension

Higher dimension

Setting Every f ∈ R[x0, . . . , xn](d) defines a section σf of the bundle symd(τ ∗

2,n+1):

σf (W ) = f |W . symd(τ ∗

2,n+1)

Gr(2, n + 1)

π σf

When d = 2n − 3 and f is generic, {σf = 0} is a 0-dimensional submanifold, hence there are finitely many lines on Z(f ). Question: What is the expected number of lines on a random hypersurface of degree 2n − 3 in RPn?

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 24 / 26

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Generalizations higher dimension

Ideas and intuitions

! Not possible to repeat the strategy of the case n = 3!

Possible strategy: Redo the proof above in more generality, for an implicit harmonic basis

information about the deterministic case

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 25 / 26

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Generalizations higher dimension

In [BLLP] the authors have proved that lim

n→∞

log E Kostlan

n

log Cn = 1 2 Conjecture lim

n→∞

log E TopHarmonic

n

log Cn > 1 2

Chiara Meroni Real lines on random cubic surfaces August 28, 2020 26 / 26