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Lattices and spherical designs. Gabriele Nebe Lehrstuhl D f ur - PowerPoint PPT Presentation

Lattices and spherical designs. Gabriele Nebe Lehrstuhl D f ur Mathematik , Lattice sphere packings. Lattices. B = ( B 1 , . . . , B n ) basis of Euclidean space ( R n , ( , )) . L = { n i =1 a i B i | a i Z } lattice.


  1. Lattices and spherical designs. Gabriele Nebe Lehrstuhl D f¨ ur Mathematik ,

  2. Lattice sphere packings.

  3. Lattices. ◮ B = ( B 1 , . . . , B n ) basis of Euclidean space ( R n , ( , )) . ◮ L = { � n i =1 a i B i | a i ∈ Z } lattice. ◮ min( L ) := min { ( ℓ, ℓ ) | 0 � = ℓ ∈ L } minimum of L . � ◮ For a := min( L ) / 2 the associated lattice sphere packing is . P ( L ) := ∪ ℓ ∈ L B a ( ℓ ) . ◮ Main goal in lattice theory: Find dense lattices. Classify all densest lattices in a given dimension. Classify densest lattices in certain families of lattices. Theorem. The densest lattices are known up to dimension 8 and in dimension 24. n 1 2 3 4 5 6 7 8 24 L A 1 A 2 A 3 D 4 D 5 E 6 E 7 E 8 Λ 24 extreme 1 1 1 2 3 6 30 2408

  4. Voronoi’s characterization. ◮ The space of similarity classes of n -dimensional lattices is a compact Riemannian manifold. ◮ There are only finitely many similarity classes of locally densest lattices: extreme lattice ( n = 8 , 2408 extreme lattices) ◮ Voronoi gave a characterization of extreme lattices by the geometry of the minimal vectors Min( L ) := { ℓ ∈ L | ( ℓ, ℓ ) = min( L ) } . ◮ L is perfect if { π x := x tr x | x ∈ Min( L ) } = R n × n sym . ◮ L is eutactic if there are λ x > 0 such that I n = � x ∈ Min( L ) λ x π x . ◮ L is strongly eutactic if all λ x can be chosen to be equal. Theorem (Voronoi, 1908) L is extreme, if and only if L is perfect and eutactic.

  5. Strongly perfect lattices. Definition (B. Venkov) A lattice L is called strongly perfect if Min( L ) is a spherical 5 -design, so if for all p ∈ R [ x 1 , . . . , x n ] deg ≤ 5 � 1 � p ( x ) = p ( t ) dt | Min( L ) | S x ∈ Min( L ) where S is the sphere containing Min( L ) . Equivalent are the following. ◮ X := Min( L ) is a 5-design. ◮ X := Min( L ) is a 4-design. ◮ � x ∈ X f ( x ) = 0 for all harmonic polynomials f ∈ R [ x 1 , . . . , x n ] of degree 2 and 4. (harmonic means homogeneous and ∆( f ) = � d 2 f i = 0 ). dx 2

  6. Continued. Equivalent are the following. ◮ X := Min( L ) is a 5-design. ◮ X := Min( L ) is a 4-design. ◮ � x ∈ X f ( x ) = 0 for all harmonic polynomials f ∈ R [ x 1 , . . . , x n ] of degree 2 and 4. x ∈ X ( x, α ) 4 = c ( α, α ) 2 for all ◮ There is some c ∈ R such that � α ∈ R n . ◮ = 3 | X | m 2 � x ∈ X ( x, α ) 4 n ( n +2) ( α, α ) 2 ( D 4) � = | X | m x ∈ X ( x, α ) 2 ( D 2) ( α, α ) n for all α ∈ R n where m = min( L ) .

  7. Strongly perfect lattices are extreme. Theorem. Let L be a strongly perfect lattice. Then L is strongly eutactic and perfect and hence extreme. Proof. (a) The 2-design property is equivalent to L being strongly eutactic, because by (D2) = m | X | � ( x, α ) 2 ( α, α ) n � �� � � �� � x ∈ X απ x α tr αI n α tr for all α ∈ R n where X = Min( L ) , m = min( L ) .

  8. Strongly perfect lattices are extreme. Theorem. Let L be a strongly perfect lattice. Then L is strongly eutactic and perfect and hence extreme. Proof. (b) 4-design implies perfection: A ∈ R n × n sym defines p A : α �→ αAα tr . sym ⇔ U ⊥ = { 0 } . U := � π x | x ∈ X � = R n × n So assume that A ∈ U ⊥ , so 0 = trace( x tr xA ) = trace( xAx tr ) = xAx tr = p A ( x ) for all x ∈ X By the design property we then have � 1 � p A ( x ) 2 = 0 p 2 A ( t ) dt = | X | S x ∈ X and hence A = 0 .

  9. Strongly perfect lattices. Theorem. Let L be strongly perfect. Then min( L ) min( L # ) ≥ ( n + 2) / 3 . Here L # = { x ∈ R n | ( x, L ) ⊂ Z } is the dual lattice. Proof. Let α ∈ Min( L # ) . Then = | X | m � 3 m ( α, α ) � ( x, α ) 2 (( x, α ) 2 − 1) � ( D 4) − ( D 2) = − 1 ( α, α ) n n + 2 � �� � x ∈ X � �� � ≥ 0 ⇒≥ 0 � = 3 | X | m 2 x ∈ X ( x, α ) 4 n ( n +2) ( α, α ) 2 Remember ( D 4) � = | X | m x ∈ X ( x, α ) 2 ( D 2) ( α, α ) n

  10. Dual strongly perfect lattices. Definition Let L be a lattice and L # its dual lattice. ◮ For a ∈ R ≥ 0 the layer L a := { ℓ ∈ L | ( ℓ, ℓ ) = a } is a finite subset of a sphere. ◮ L is called universally strongly perfect if all layers of L form spherical 4 -designs. ◮ L is called dual strongly perfect if L and L # are both strongly perfect. Theorem. universally strongly perfect ⇒ dual strongly perfect ⇒ strongly perfect θ L := � a | L a | q a Proof. Theta series of L ( q = exp( πiz ) , ℑ ( z ) > 0 ) or more general θ L,p := � � x ∈ L a p ( x ) q a for p ∈ Harm d are modular a forms. L universally strongly perfect, iff θ L,p = 0 for all p ∈ Harm d ( d = 2 , 4) . θ L # ,p can be computed from θ L,p by Poisson-summation.

  11. No harmonic invariants. Theorem. Let G = Aut( L ) and assume that � ( α, α ) d � = Inv 2 d ( G ) for all d = 1 , . . . , t . Then all G -orbits and all non-empty layers of L are spherical 2 t -designs. Corollary. ◮ If R n is an irreducible R G -module then Inv 2 ( G ) = � ( α, α ) � and L is strongly eutactic. ◮ In particular all irreducible root-lattices are strongly eutactic. ◮ If additionally Inv 4 ( G ) = � ( α, α ) 2 � , then L is universally strongly perfect.

  12. The Thompson-Smith lattice of dimension 248. ◮ Let G = Th denote the sporadic simple Thompson group. ◮ Then G has a 248-dimensional rational representation ρ : G → O (248 , Q ) . ◮ Since G is finite, ρ ( G ) fixes a lattice L ≤ Q 248 . ◮ Modular representation theory tells us that for all primes p the F p G -module L/pL is simple. ◮ Therefore L = L # and L is even ◮ otherwise L 0 := { v ∈ L | ( v, v ) ∈ 2 Z } < L of index 2. ◮ Inv 2 d ( G ) = � ( α, α ) d � for d = 1 , 2 , 3 . So all layers of L form spherical 6-designs and in particular L is strongly perfect. ◮ min( L ) min( L # ) = min( L ) 2 ≥ 248+2 > 83 . 3 , so min( L ) ≥ 10 . 3 ◮ There is a v ∈ L with ( v, v ) = 12 , so min( L ) ∈ { 10 , 12 } .

  13. Classification of strongly perfect lattices. Theorem. ◮ All strongly perfect lattices of dimension ≤ 12 are known (Nebe/Venkov). ◮ All integral strongly perfect lattices of minimum 2 and 3 are known (Venkov). ◮ There is a unique dual strongly perfect lattice of dimension 14 (Nebe/Venkov). ◮ Elisabeth Nossek classifies the dual strongly perfect lattices in dimension 13,15, . . . in her thesis. ◮ All integral lattices L of minimum ≤ 5 such that Min( L ) is a 6-design are known (Martinet). ◮ All lattices L of dimension ≤ 24 such that Min( L ) is a 6-design are known (Nebe/Venkov).

  14. Extremal lattices are extreme. Theorem. Let L be an even unimodular lattice of dimension n = 24 a + 8 b with b = 0 , 1 , 2 and min( L ) = 2 a + 2 (extremal lattice). ◮ All nonempty L j are ( 11 − 4 b )-designs. ◮ If b = 0 or b = 1 then L is strongly perfect and hence extreme. ◮ All extremal even unimodular lattices of dimension 32 are extreme. Proof: ◮ Let L = L # ⊂ R n be an even unimodular lattice. ◮ Choose p ∈ R [ x 1 , . . . , x n ] , deg( p ) = t > 0 , ∆( p ) = 0 . ◮ Then θ L,p := � ℓ ∈ L p ( ℓ ) q ( ℓ,ℓ ) = � ∞ j =1 ( � ℓ ∈ L j p ( ℓ )) q j is a cusp form of weight n/ 2 + t . ◮ If 2 m = min( L ) then θ L,p is divisible by ∆ m of weight 12 m ◮ If n/ 2 + t < 12 m , then θ L,p = 0 and all layers of L are spherical t -designs.

  15. Strongly perfect lattices: Conclusion. ◮ Boris Venkov’s idea combines spherical designs and lattices ◮ Allows to apply other mathematical theories to prove that certain lattices are locally densest such as: ◮ Representation theory of finite groups. ◮ Theory of modular forms. ◮ Combinatorics: ◮ Explicit knowledge of minimal vectors (Barnes-Wall lattices) ◮ Allows to use combinatorial means to classify strongly perfect lattices of given dimension. ◮ Classification of dual strongly perfect lattices: Many more tools. (Finite list of abelian groups L # /L , finite list of possible genera of lattices, use modular forms or explicit enumeration of genera.)

  16. Spherical designs. Definition A finite set ∅ � = X ⊂ S := S n − 1 ( R ) := { x ∈ R n | ( x, x ) = 1 } is called spherical t -design if for all p ∈ R [ x 1 , . . . , x n ] ≤ t � 1 � p ( x ) = p ( t ) dt. | X | S x ∈ X Clear: X is a t -design ⇒ X is a t − 1 -design. Disjoint unions of t -designs are t -designs. Fact: t designs exist for arbitrary t and n . Goal. Find designs of minimal cardinality, so called tight designs. � n + e − 1 � � n + e − 2 � � n + e − 1 � | X | ≥ + resp. 2 e e − 1 e for t = 2 e resp. t = 2 e + 1 .

  17. Classification of tight spherical t -designs. Remark Tight t -designs in S n − 1 with n ≥ 3 only exist for t ≤ 5 or t = 7 , 11 . They are classified completely for t ∈ { 1 , 2 , 3 , 11 } . Examples ◮ n = 2 : regular (t+1)-gon � n − 1 � ◮ t = 1 : | X | = 2 = 2 , X = { x, − x } 0 ◮ t = 2 : | X | = n + 1 , simplex. � n � ◮ t = 3 : | X | = 2 = 2 n , X = {± e 1 , . . . , ± e n } = Min( Z n ) . 1 ◮ t = 5 : n = 3 , | X | = 12 , icosahedron. ◮ t = 7 : n = 8 and X = Min( E 8 ) , | X | = 240 . ◮ t = 7 : n = 23 and X = Min( O 23 ) , | X | = 4600 . ◮ t = 11 : n = 24 and X = Min(Λ 24 ) , | X | = 196560 . unique.

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