Energy minimization for periodic sets in Euclidean spaces Renaud - - PowerPoint PPT Presentation

energy minimization for periodic sets in euclidean spaces
SMART_READER_LITE
LIVE PREVIEW

Energy minimization for periodic sets in Euclidean spaces Renaud - - PowerPoint PPT Presentation

Energy minimization for periodic sets in Euclidean spaces Renaud Coulangeon, joint work with Achill Schrmann April 12, 2018 A lattice L R n is a closed discrete subgroup of finite covolume, i.e. L = Z e 1 Z e n where e


slide-1
SLIDE 1

Energy minimization for periodic sets in Euclidean spaces

Renaud Coulangeon, joint work with Achill Schürmann April 12, 2018

slide-2
SLIDE 2

◮ A lattice L ⊂ Rn is a closed discrete subgroup of finite

covolume, i.e. L = Ze1 ⊕ · · · ⊕ Zen where e1, . . . , en are linearly independent vectors.

slide-3
SLIDE 3

◮ A lattice L ⊂ Rn is a closed discrete subgroup of finite

covolume, i.e. L = Ze1 ⊕ · · · ⊕ Zen where e1, . . . , en are linearly independent vectors.

◮ A periodic set Λ ⊂ Rn is a closed discrete subset which is

invariant under translations by a lattice L : Λ + L = Λ.

slide-4
SLIDE 4

◮ A lattice L ⊂ Rn is a closed discrete subgroup of finite

covolume, i.e. L = Ze1 ⊕ · · · ⊕ Zen where e1, . . . , en are linearly independent vectors.

◮ A periodic set Λ ⊂ Rn is a closed discrete subset which is

invariant under translations by a lattice L : Λ + L = Λ.

slide-5
SLIDE 5

◮ A lattice L ⊂ Rn is a closed discrete subgroup of finite

covolume, i.e. L = Ze1 ⊕ · · · ⊕ Zen where e1, . . . , en are linearly independent vectors.

◮ A periodic set Λ ⊂ Rn is a closed discrete subset which is

invariant under translations by a lattice L : Λ + L = Λ. ⇔ ∃ a lattice L and vectors t1, . . . , tm in Rn, pairwise incongruent mod L, such that Λ =

m

  • i=1

(ti + L) In that case we say that Λ is m-periodic.

slide-6
SLIDE 6

A given periodic set Λ admits infinitely many period lattices and representations Λ = m

i=1 (ti + L), in which the number m = |Λ/L|

varies, but not the point density : pδ(Λ) := m √ det L "number of points per unit volume of space". For instance one can replace L by any of its sublattice L′ and

  • btain a representation as a union of m [L : L′] translates of L′
slide-7
SLIDE 7

All period lattices are contained in Lmax := {v ∈ Rn | v + Λ = Λ} . "primitive representation" Λ =

  • x∈Λ/Lmax

(x + Lmax) as a union of m(Λ) := |Λ/Lmax| translates of Lmax.

slide-8
SLIDE 8

All period lattices are contained in Lmax := {v ∈ Rn | v + Λ = Λ} . "primitive representation" Λ =

  • x∈Λ/Lmax

(x + Lmax) as a union of m(Λ) := |Λ/Lmax| translates of Lmax.

slide-9
SLIDE 9

Local maxima of packing density

◮ Lattice packings : Voronoi theory (1907).

  • Local maxima sit at the vertices of the Ryshkov polyhedron.
  • Algorithm to enumerate the vertices.

◮ Periodic packings :

  • Schürmann (2004) : characterization of the local maxima.
  • Andreanov-Kallus(2017) : refinement in the case of 2-periodic

sets + algorithm to enumerate the vertices.

slide-10
SLIDE 10

Energy of periodic sets Reminder : the energy of a finite configuration of points C in Rn w.r.t. a potential f is given by E(f , C) = 1 |C|

  • x,y∈C,x=y

f (|x − y|2).

slide-11
SLIDE 11

Energy of periodic sets Reminder : the energy of a finite configuration of points C in Rn w.r.t. a potential f is given by E(f , C) = 1 |C|

  • x,y∈C,x=y

f (|x − y|2). Extending this definition of the energy to a general (infinite, unbounded) collection Λ of points in the Euclidean space, entails convergence problems.

slide-12
SLIDE 12

Energy of periodic sets Reminder : the energy of a finite configuration of points C in Rn w.r.t. a potential f is given by E(f , C) = 1 |C|

  • x,y∈C,x=y

f (|x − y|2). Extending this definition of the energy to a general (infinite, unbounded) collection Λ of points in the Euclidean space, entails convergence problems. A natural idea is to set E(f , Λ) := lim

R→∞ E(f , ΛR)

where ΛR := Λ ∩ B(0, R)

slide-13
SLIDE 13

Energy of periodic sets Reminder : the energy of a finite configuration of points C in Rn w.r.t. a potential f is given by E(f , C) = 1 |C|

  • x,y∈C,x=y

f (|x − y|2). Extending this definition of the energy to a general (infinite, unbounded) collection Λ of points in the Euclidean space, entails convergence problems. A natural idea is to set E(f , Λ) := lim

R→∞ E(f , ΛR)

where ΛR := Λ ∩ B(0, R) well-defined if Λ is periodic.

slide-14
SLIDE 14

Energy of periodic sets Cohn and Kumar (2007) define the energy of a m-periodic set Λ = m

i=1 (ti + L) with respect to a potential f as

E(f , Λ) = 1 m

  • 1≤i,j≤m
  • w∈L

w+tj−ti=0

f (|w + tj − ti|2) = 1 m

m

  • i=1
  • u∈Λ\{ti}

f (|u − ti|2) Fact : for a rapidly decreasing f , this agrees with the previous definition, namely lim

R→∞ E(f , ΛR) exists and equals E(f , Λ).

Recall : ΛR := Λ ∩ B(0, R).

slide-15
SLIDE 15

Comments The definition of the energy as E(f , Λ) = lim

R→∞

1 |ΛR|

  • x,y∈ΛR,x=y

f (|x − y|2) involves only the set ”Λ − Λ” := {x − y, x ∈ Λ, y ∈ Λ} . (no reference to a period lattice)

◮ If Λ is a lattice (m = 1), then Λ − Λ = Λ (group structure).

slide-16
SLIDE 16

Comments The definition of the energy as E(f , Λ) = lim

R→∞

1 |ΛR|

  • x,y∈ΛR,x=y

f (|x − y|2) involves only the set ”Λ − Λ” := {x − y, x ∈ Λ, y ∈ Λ} . (no reference to a period lattice)

◮ If Λ is a lattice (m = 1), then Λ − Λ = Λ (group structure). ◮ For m > 1, we lose the group structure.

slide-17
SLIDE 17

Comments The definition of the energy as E(f , Λ) = lim

R→∞

1 |ΛR|

  • x,y∈ΛR,x=y

f (|x − y|2) involves only the set ”Λ − Λ” := {x − y, x ∈ Λ, y ∈ Λ} . (no reference to a period lattice)

◮ If Λ is a lattice (m = 1), then Λ − Λ = Λ (group structure). ◮ For m > 1, we lose the group structure. ◮ Not too bad if m = 2 :

Λ = L ∪ (t + L) ⇒ Λ − Λ = Λ ∪ (−Λ).

slide-18
SLIDE 18

Comments The definition of the energy as E(f , Λ) = lim

R→∞

1 |ΛR|

  • x,y∈ΛR,x=y

f (|x − y|2) involves only the set ”Λ − Λ” := {x − y, x ∈ Λ, y ∈ Λ} . (no reference to a period lattice)

◮ If Λ is a lattice (m = 1), then Λ − Λ = Λ (group structure). ◮ For m > 1, we lose the group structure. ◮ Not too bad if m = 2 :

Λ = L ∪ (t + L) ⇒ Λ − Λ = Λ ∪ (−Λ).

◮ Definitely more complicated if m > 2.

slide-19
SLIDE 19

Automorphisms The natural automorphisms to consider for a periodic set Λ are its affine isometries

slide-20
SLIDE 20

Automorphisms The natural automorphisms to consider for a periodic set Λ are its affine isometries Isom Λ

slide-21
SLIDE 21

Automorphisms The natural automorphisms to consider for a periodic set Λ are its affine isometries Isom Λ ⊃ Lmax

slide-22
SLIDE 22

Automorphisms The natural automorphisms to consider for a periodic set Λ are its affine isometries Isom Λ ⊃ Lmax Aut Λ := Isom Λ/Lmax

slide-23
SLIDE 23

Automorphisms The natural automorphisms to consider for a periodic set Λ are its affine isometries Isom Λ ⊃ Lmax Aut Λ := Isom Λ/Lmax If 0 ∈ Λ, then Aut Λ ⊃ Aut0 Λ = {ϕ ∈ Aut Lmax | ϕ(Λ) = Λ} .

slide-24
SLIDE 24

Universal optimality Λ = m

i=1 (ti + L), E(f , Λ) = 1 m

  • 1≤i,j≤m
  • w∈L

w+tj−ti=0

f (|w + tj − ti|2) For the potential f , we restrict to completely monotonic functions, that is, real-valued, C∞ on (0, ∞), and such that ∀k ≥ 0, ∀x ∈ (0, ∞), (−1)kf (k)(x) ≥ 0. The class of completely monotonic functions contains all the “reasonable functions” in the context of energy minimization, e.g. :

◮ inverse power laws ps(r) = r −s with s > 0, ◮ Gaussian potentials fc(r) = e−cr with c > 0

slide-25
SLIDE 25

Universal optimality Λ = m

i=1 (ti + L), E(f , Λ) = 1 m

  • 1≤i,j≤m
  • w∈L

w+tj−ti=0

f (|w + tj − ti|2) For the potential f , we restrict to completely monotonic functions, that is, real-valued, C∞ on (0, ∞), and such that ∀k ≥ 0, ∀x ∈ (0, ∞), (−1)kf (k)(x) ≥ 0. The class of completely monotonic functions contains all the “reasonable functions” in the context of energy minimization, e.g. :

◮ inverse power laws ps(r) = r −s with s > 0, ◮ Gaussian potentials fc(r) = e−cr with c > 0

Definition

Λ is universally optimal if it minimizes E(fc, Λ) for any c > 0.

slide-26
SLIDE 26

Cohn and Kumar conjecture

Conjecture (Cohn-Kumar (2007))

The lattices A2, D4, E8 and Λ24 are universally optimal.

◮ true locally when restricted to lattice configurations (Sarnak

and Strömbergsson 2006).

slide-27
SLIDE 27

Cohn and Kumar conjecture

Conjecture (Cohn-Kumar (2007))

The lattices A2, D4, E8 and Λ24 are universally optimal.

◮ true locally when restricted to lattice configurations (Sarnak

and Strömbergsson 2006).

◮ extended to periodic configurations (C., Schürmann, 2012).

More precisely : a lattice, all the shells of which are 4-designs, is locally fc-optimal among periodic sets for big enough c (+ explicit treshold). All known examples of universally optimal (proven or conjectured) lattices share this rather strong property. Can

  • ne weaken this condition ?
slide-28
SLIDE 28

Cohn and Kumar conjecture

Conjecture (Cohn-Kumar (2007))

The lattices A2, D4, E8 and Λ24 are universally optimal.

◮ true locally when restricted to lattice configurations (Sarnak

and Strömbergsson 2006).

◮ extended to periodic configurations (C., Schürmann, 2012).

More precisely : a lattice, all the shells of which are 4-designs, is locally fc-optimal among periodic sets for big enough c (+ explicit treshold). All known examples of universally optimal (proven or conjectured) lattices share this rather strong property. Can

  • ne weaken this condition ?

◮ The conjecture has been proved recently for E8 and Λ24 by

Cohn, Kumar, Miller, Radchenko and Viazovska.

slide-29
SLIDE 29

A non lattice example : D+

n .

Dn =

  • x = (x1, . . . , xn) ∈ Zn |
  • xi ≡ 0

mod 2

slide-30
SLIDE 30

A non lattice example : D+

n .

Dn =

  • x = (x1, . . . , xn) ∈ Zn |
  • xi ≡ 0

mod 2

  • D+

n = Dn ∪ (e + Dn) where e = (1

2, 1 2, · · · , 1 2).

slide-31
SLIDE 31

A non lattice example : D+

n .

Dn =

  • x = (x1, . . . , xn) ∈ Zn |
  • xi ≡ 0

mod 2

  • D+

n = Dn ∪ (e + Dn) where e = (1

2, 1 2, · · · , 1 2). It is a lattice if n is even, otherwise a 2-periodic set.

slide-32
SLIDE 32

A non lattice example : D+

n .

Dn =

  • x = (x1, . . . , xn) ∈ Zn |
  • xi ≡ 0

mod 2

  • D+

n = Dn ∪ (e + Dn) where e = (1

2, 1 2, · · · , 1 2). It is a lattice if n is even, otherwise a 2-periodic set. Cohn, Kumar, Schürmann : experimental study suggest that D+

9 is

universally optimal.

slide-33
SLIDE 33

Local deformations

slide-34
SLIDE 34

Local deformations

Purely translational deformation

slide-35
SLIDE 35

Local deformations

Purely lattice deformation

slide-36
SLIDE 36

Local deformations

change m

slide-37
SLIDE 37

Local deformations Pm = the set of m-periodic sets in Rn

slide-38
SLIDE 38

Local deformations Pm = the set of m-periodic sets in Rn P =

  • m≥1

Pm

slide-39
SLIDE 39

Local deformations Pm = the set of m-periodic sets in Rn P =

  • m≥1

Pm Each Pm is a manifold, and for each fixed potential f , one has to study the local optima of a function Λ → E(f , Λ)

slide-40
SLIDE 40

Local deformations Pm = the set of m-periodic sets in Rn P =

  • m≥1

Pm Each Pm is a manifold, and for each fixed potential f , one has to study the local optima of a function Λ → E(f , Λ) gradient, Hessian.

slide-41
SLIDE 41

Local deformations Pm = the set of m-periodic sets in Rn P =

  • m≥1

Pm Each Pm is a manifold, and for each fixed potential f , one has to study the local optima of a function Λ → E(f , Λ) gradient, Hessian. We say that Λ is f -critical if the gradient of the above map vanishes at Λ.

slide-42
SLIDE 42

Necessary conditions for universal optimality Let S be a sphere in Rn centered at 0.

slide-43
SLIDE 43

Necessary conditions for universal optimality Let S be a sphere in Rn centered at 0.

Definition

A finite set D ⊂ S is a weighted spherical design of strength t if there exists a function ν : D → (0, ∞) such that for all polynomial

  • f degree ≤ t one has

1 Vol(S)

  • S

P(x)dx = 1 ν(D)

  • x∈D

ν(x)P(x). where ν(D) =

x∈D ν(x).

slide-44
SLIDE 44

Necessary conditions for universal optimality Let S be a sphere in Rn centered at 0.

Definition

A finite set D ⊂ S is a weighted spherical design of strength t if there exists a function ν : D → (0, ∞) such that for all polynomial

  • f degree ≤ t one has

1 Vol(S)

  • S

P(x)dx = 1 ν(D)

  • x∈D

ν(x)P(x). where ν(D) =

x∈D ν(x).

If t = 1 and ν ≡ 1, this reduces to the condition that

  • x∈D

x = 0 which we refer to in the sequel as D being a balanced set.

slide-45
SLIDE 45

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-46
SLIDE 46

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-47
SLIDE 47

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-48
SLIDE 48

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-49
SLIDE 49

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-50
SLIDE 50

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-51
SLIDE 51

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-52
SLIDE 52

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-53
SLIDE 53

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-54
SLIDE 54

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-55
SLIDE 55

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-56
SLIDE 56

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-57
SLIDE 57

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-58
SLIDE 58

Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.

slide-59
SLIDE 59

First order condition (gradient) For x ∈ Λ and r > 0 we define Λx(r) = {y − x | y − x = r, y ∈ Λ} "pointed shell" and we set Λ(r) =

x∈Λ Λx(r).

slide-60
SLIDE 60

First order condition (gradient) For x ∈ Λ and r > 0 we define Λx(r) = {y − x | y − x = r, y ∈ Λ} "pointed shell" and we set Λ(r) =

x∈Λ Λx(r).

Theorem (C., Schürmann (2017))

A periodic set Λ in Rn is fc-critical for all c > 0 if and only if the following two conditions are satisfied :

1 All non-empty pointed shells Λx(r) for x ∈ Λ and r > 0 are

balanced.

2 All non-empty shells Λ(r) for r > 0 are weighted spherical

2-designs with respect to the following weight ν : ν(w) = 1 m |{i | w ∈ Λti}| .

slide-61
SLIDE 61

Proposition

If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0.

slide-62
SLIDE 62

Proposition

If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0. Proof.

slide-63
SLIDE 63

Proposition

If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0. Proof.

1 A weighted set (D, ν) on a sphere of radius r in Rn is a

weighted spherical 2-design if and only if

  • x∈D

ν(x)x = 0 and

  • x∈D

ν(x)xxt = c In for some constant c.

slide-64
SLIDE 64

Proposition

If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0. Proof.

1 A weighted set (D, ν) on a sphere of radius r in Rn is a

weighted spherical 2-design if and only if

  • x∈D

ν(x)x = 0 and

  • x∈D

ν(x)xxt = c In for some constant c.

2 A real representation of a finite group G is irreducible if and

  • nly if dimR(Sym2V )G = 1.
slide-65
SLIDE 65

Proposition

If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0. Proof.

1 A weighted set (D, ν) on a sphere of radius r in Rn is a

weighted spherical 2-design if and only if

  • x∈D

ν(x)x = 0 and

  • x∈D

ν(x)xxt = c In for some constant c.

2 A real representation of a finite group G is irreducible if and

  • nly if dimR(Sym2V )G = 1.

3 Apply this to D = G · x0 for any x0 :

slide-66
SLIDE 66

Proposition

If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0. Proof.

1 A weighted set (D, ν) on a sphere of radius r in Rn is a

weighted spherical 2-design if and only if

  • x∈D

ν(x)x = 0 and

  • x∈D

ν(x)xxt = c In for some constant c.

2 A real representation of a finite group G is irreducible if and

  • nly if dimR(Sym2V )G = 1.

3 Apply this to D = G · x0 for any x0 :

  • R(

x∈D ν(x)x) is G-stable ⇒ x∈D ν(x)x = 0.

slide-67
SLIDE 67

Proposition

If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0. Proof.

1 A weighted set (D, ν) on a sphere of radius r in Rn is a

weighted spherical 2-design if and only if

  • x∈D

ν(x)x = 0 and

  • x∈D

ν(x)xxt = c In for some constant c.

2 A real representation of a finite group G is irreducible if and

  • nly if dimR(Sym2V )G = 1.

3 Apply this to D = G · x0 for any x0 :

  • R(

x∈D ν(x)x) is G-stable ⇒ x∈D ν(x)x = 0.

x∈D ν(x)xxt ∈ (Sym2V )G ⇒ x∈D ν(x)xxt = cId.

slide-68
SLIDE 68

Second order condition (Hessian) hess E(fc, Λ) =

  • r>0

I(c, r)e−cr2 where I(c, r) is a complicated expression involving all the elements

  • f Λ(r)
slide-69
SLIDE 69

Second order condition (Hessian) hess E(fc, Λ) =

  • r>0

I(c, r)e−cr2 where I(c, r) is a complicated expression involving all the elements

  • f Λ(r)

want to show that all the I(c, r) are > 0 for big enough c.

slide-70
SLIDE 70

Second order condition (Hessian) hess E(fc, Λ) =

  • r>0

I(c, r)e−cr2 where I(c, r) is a complicated expression involving all the elements

  • f Λ(r)

want to show that all the I(c, r) are > 0 for big enough c.

◮ m = 1 : C., Schürmann (2012)

slide-71
SLIDE 71

Second order condition (Hessian) hess E(fc, Λ) =

  • r>0

I(c, r)e−cr2 where I(c, r) is a complicated expression involving all the elements

  • f Λ(r)

want to show that all the I(c, r) are > 0 for big enough c.

◮ m = 1 : C., Schürmann (2012) ◮ For general m-periodic sets, the local analysis seems out of

reach.

slide-72
SLIDE 72

Second order condition (Hessian) hess E(fc, Λ) =

  • r>0

I(c, r)e−cr2 where I(c, r) is a complicated expression involving all the elements

  • f Λ(r)

want to show that all the I(c, r) are > 0 for big enough c.

◮ m = 1 : C., Schürmann (2012) ◮ For general m-periodic sets, the local analysis seems out of

reach.

◮ For m = 2 the problem subdivides into 3 parts :

slide-73
SLIDE 73

Second order condition (Hessian) hess E(fc, Λ) =

  • r>0

I(c, r)e−cr2 where I(c, r) is a complicated expression involving all the elements

  • f Λ(r)

want to show that all the I(c, r) are > 0 for big enough c.

◮ m = 1 : C., Schürmann (2012) ◮ For general m-periodic sets, the local analysis seems out of

reach.

◮ For m = 2 the problem subdivides into 3 parts : 1 "Purely translational part".

slide-74
SLIDE 74

Second order condition (Hessian) hess E(fc, Λ) =

  • r>0

I(c, r)e−cr2 where I(c, r) is a complicated expression involving all the elements

  • f Λ(r)

want to show that all the I(c, r) are > 0 for big enough c.

◮ m = 1 : C., Schürmann (2012) ◮ For general m-periodic sets, the local analysis seems out of

reach.

◮ For m = 2 the problem subdivides into 3 parts : 1 "Purely translational part". 2 "Mixed part".

slide-75
SLIDE 75

Second order condition (Hessian) hess E(fc, Λ) =

  • r>0

I(c, r)e−cr2 where I(c, r) is a complicated expression involving all the elements

  • f Λ(r)

want to show that all the I(c, r) are > 0 for big enough c.

◮ m = 1 : C., Schürmann (2012) ◮ For general m-periodic sets, the local analysis seems out of

reach.

◮ For m = 2 the problem subdivides into 3 parts : 1 "Purely translational part". 2 "Mixed part". 3 "Lattice part".

slide-76
SLIDE 76

In the case of D+

n , we obtain :

Theorem (C., Schürmann (2017))

Let n be an odd integer ≥ 9. Then there exists a constant cn such that D+

n is locally fc-optimal for any c > cn.

In the computation of the "lattice part" of the Hessian for D+

N , one

has to estimate the quantities Zr =

  • w∈Λ(r)
  • n
  • i=1

w 4

i

  • .
slide-77
SLIDE 77

In the case of D+

n , we obtain :

Theorem (C., Schürmann (2017))

Let n be an odd integer ≥ 9. Then there exists a constant cn such that D+

n is locally fc-optimal for any c > cn.

In the computation of the "lattice part" of the Hessian for D+

N , one

has to estimate the quantities Zr =

  • w∈Λ(r)
  • n
  • i=1

w 4

i

  • .

Set ar := Zr − 3 n + 2r 4|Λ(r)|. Fact : the ar are the Fourier coefficients of a certain cusp form

  • f weight n

2 + 4

slide-78
SLIDE 78

In the case of D+

n , we obtain :

Theorem (C., Schürmann (2017))

Let n be an odd integer ≥ 9. Then there exists a constant cn such that D+

n is locally fc-optimal for any c > cn.

In the computation of the "lattice part" of the Hessian for D+

N , one

has to estimate the quantities Zr =

  • w∈Λ(r)
  • n
  • i=1

w 4

i

  • .

Set ar := Zr − 3 n + 2r 4|Λ(r)|. Fact : the ar are the Fourier coefficients of a certain cusp form

  • f weight n

2 + 4 ⇒ ar r 4|Λ(r)| is small

slide-79
SLIDE 79

How to go further, and what is so special with n = 9 ?

Theorem

Let n be an odd integer ≥ 9. Then there exists a constant cn such that D+

n is locally fc-optimal for any c > cn.

slide-80
SLIDE 80

How to go further, and what is so special with n = 9 ?

Theorem

Let n be an odd integer ≥ 9. Then there exists a constant cn such that D+

n is locally fc-optimal for any c > cn. 1 get explicit cn, as small as possible.

slide-81
SLIDE 81

How to go further, and what is so special with n = 9 ?

Theorem

Let n be an odd integer ≥ 9. Then there exists a constant cn such that D+

n is locally fc-optimal for any c > cn. 1 get explicit cn, as small as possible. 2 use formal duality (if any...) and "Poisson summation

formula" to exchange c and 1/c.

slide-82
SLIDE 82

How to go further, and what is so special with n = 9 ?

Theorem

Let n be an odd integer ≥ 9. Then there exists a constant cn such that D+

n is locally fc-optimal for any c > cn. 1 get explicit cn, as small as possible. 2 use formal duality (if any...) and "Poisson summation

formula" to exchange c and 1/c. For n = 9, step 1 requires the actual computation of a basis for a certain space of cusp forms of weight 9/2 and the expansion of a certain theta series with spherical coefficients on this basis doable, in principle (hard).

slide-83
SLIDE 83

How to go further, and what is so special with n = 9 ?

Theorem

Let n be an odd integer ≥ 9. Then there exists a constant cn such that D+

n is locally fc-optimal for any c > cn. 1 get explicit cn, as small as possible. 2 use formal duality (if any...) and "Poisson summation

formula" to exchange c and 1/c. For n = 9, step 1 requires the actual computation of a basis for a certain space of cusp forms of weight 9/2 and the expansion of a certain theta series with spherical coefficients on this basis doable, in principle (hard). As for step 2 it does not really make sens in general, since there is no Poisson formula...but D+

9 is formally self-dual !