SLIDE 1
Energy minimization for periodic sets in Euclidean spaces Renaud - - PowerPoint PPT Presentation
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 2
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
◮ 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
◮ 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
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
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
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
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
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
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
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
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
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
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
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
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
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
Automorphisms The natural automorphisms to consider for a periodic set Λ are its affine isometries
SLIDE 20
Automorphisms The natural automorphisms to consider for a periodic set Λ are its affine isometries Isom Λ
SLIDE 21
Automorphisms The natural automorphisms to consider for a periodic set Λ are its affine isometries Isom Λ ⊃ Lmax
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
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
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
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
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
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
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
A non lattice example : D+
n .
Dn =
- x = (x1, . . . , xn) ∈ Zn |
- xi ≡ 0
mod 2
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
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
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
Local deformations
SLIDE 34
Local deformations
Purely translational deformation
SLIDE 35
Local deformations
Purely lattice deformation
SLIDE 36
Local deformations
change m
SLIDE 37
Local deformations Pm = the set of m-periodic sets in Rn
SLIDE 38
Local deformations Pm = the set of m-periodic sets in Rn P =
- m≥1
Pm
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
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
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
Necessary conditions for universal optimality Let S be a sphere in Rn centered at 0.
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
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
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 46
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 47
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 48
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 49
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 50
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 51
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 52
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 53
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 54
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 55
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 56
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 57
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
SLIDE 58
Examples In dimension 2, the set of vertices of a regular s-gone is a (s − 1)-design.
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
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
Proposition
If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0.
SLIDE 62
Proposition
If the automorphism group of Λ acts R-irreducibly, then Λ is fc-critical for any c > 0. Proof.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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