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The unreasonable effectiveness of tensor product. Renaud - - PowerPoint PPT Presentation
The unreasonable effectiveness of tensor product. Renaud - - PowerPoint PPT Presentation
The unreasonable effectiveness of tensor product. Renaud Coulangeon, Universit Bordeaux 1 based on a joint work with Gabriele Nebe Banff, November 14, 2011 Introduction Let L and M be two Euclidean lattices Introduction Let L and M be two
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Introduction
Let L and M be two Euclidean lattices i.e. free Z-modules of finite rank equipped with a positive definite bilinear form (inner product) denoted x · y
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Introduction
Let L and M be two Euclidean lattices i.e. free Z-modules of finite rank equipped with a positive definite bilinear form (inner product) denoted x · y
◮ min L = min0x∈L x · x
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Introduction
Let L and M be two Euclidean lattices i.e. free Z-modules of finite rank equipped with a positive definite bilinear form (inner product) denoted x · y
◮ min L = min0x∈L x · x ◮ det L = det Gram B for any Z-basis B of M.
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Introduction
Let L and M be two Euclidean lattices i.e. free Z-modules of finite rank equipped with a positive definite bilinear form (inner product) denoted x · y
◮ min L = min0x∈L x · x ◮ det L = det Gram B for any Z-basis B of M.
On L ⊗ M consider the inner product
(x ⊗ y) · (z ⊗ t) = (x · z) (y · t) .
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Introduction
Let L and M be two Euclidean lattices i.e. free Z-modules of finite rank equipped with a positive definite bilinear form (inner product) denoted x · y
◮ min L = min0x∈L x · x ◮ det L = det Gram B for any Z-basis B of M.
On L ⊗ M consider the inner product
(x ⊗ y) · (z ⊗ t) = (x · z) (y · t) .
◮ det(L ⊗ M) = det Ldim M det Mdim L.
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Introduction
Let L and M be two Euclidean lattices i.e. free Z-modules of finite rank equipped with a positive definite bilinear form (inner product) denoted x · y
◮ min L = min0x∈L x · x ◮ det L = det Gram B for any Z-basis B of M.
On L ⊗ M consider the inner product
(x ⊗ y) · (z ⊗ t) = (x · z) (y · t) .
◮ det(L ⊗ M) = det Ldim M det Mdim L. ◮ min(L ⊗ M) = min L · min M ?
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Introduction
Let L and M be two Euclidean lattices i.e. free Z-modules of finite rank equipped with a positive definite bilinear form (inner product) denoted x · y
◮ min L = min0x∈L x · x ◮ det L = det Gram B for any Z-basis B of M.
On L ⊗ M consider the inner product
(x ⊗ y) · (z ⊗ t) = (x · z) (y · t) .
◮ det(L ⊗ M) = det Ldim M det Mdim L. ◮ min(L ⊗ M) = min L · min M ? NO in general (one has to
consider non-split vectors t
i=1 xi ⊗ yi for t > 1).
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Nevertheless, it is hard to find counter examples :
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Nevertheless, it is hard to find counter examples :
◮ min(L ⊗ M) = min L · min M if dim L or dim M is less than 43,
and the minimal vectors of min(L ⊗ M) are split (Kitaoka).
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Nevertheless, it is hard to find counter examples :
◮ min(L ⊗ M) = min L · min M if dim L or dim M is less than 43,
and the minimal vectors of min(L ⊗ M) are split (Kitaoka).
◮ The first dimension where a counter-example is known to exist
is 292 (non explicit !), unpublished result of Steinberg (see Milnor and Husemoller book Symmetric bilinear forms p.47).
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Nevertheless, it is hard to find counter examples :
◮ min(L ⊗ M) = min L · min M if dim L or dim M is less than 43,
and the minimal vectors of min(L ⊗ M) are split (Kitaoka).
◮ The first dimension where a counter-example is known to exist
is 292 (non explicit !), unpublished result of Steinberg (see Milnor and Husemoller book Symmetric bilinear forms p.47). Remark : If one considers the similar problem for the tensor product of (Hermitian) lattices over the ring of integers of an imaginary quadratic field, explicit examples with min (L ⊗OK M) < min L min M are relatively easy to construct in small dimension.
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Theorem (Korkine-Zolotareff, 1877)
Lattices achieving a local maximum of density are perfect.
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Theorem (Korkine-Zolotareff, 1877)
Lattices achieving a local maximum of density are perfect. In terms of positive definite quadratic forms :
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Theorem (Korkine-Zolotareff, 1877)
Lattices achieving a local maximum of density are perfect. In terms of positive definite quadratic forms : L = PZn
- A = P′P ∈ Sn(R)>0
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Theorem (Korkine-Zolotareff, 1877)
Lattices achieving a local maximum of density are perfect. In terms of positive definite quadratic forms : L = PZn
- A = P′P ∈ Sn(R)>0
min L = min A = min
0X∈Zn A[X]
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Theorem (Korkine-Zolotareff, 1877)
Lattices achieving a local maximum of density are perfect. In terms of positive definite quadratic forms : L = PZn
- A = P′P ∈ Sn(R)>0
min L = min A = min
0X∈Zn A[X]
attained on a finite set S(A) of integral vectors
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Theorem (Korkine-Zolotareff, 1877)
Lattices achieving a local maximum of density are perfect. In terms of positive definite quadratic forms : L = PZn
- A = P′P ∈ Sn(R)>0
min L = min A = min
0X∈Zn A[X]
attained on a finite set S(A) of integral vectors
Definition
A (resp. L) is perfect if Span XX′, X ∈ S(A) = Sn(R).
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Proposition
If dim L or dim M is less than 43, then L ⊗ M is not locally densest.
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Proposition
If dim L or dim M is less than 43, then L ⊗ M is not locally densest. Proof : set ℓ = dim L, m = dim M. Kitaoka’s result implies that the minimal vectors of L ⊗ M are split. Consequently, setting rL⊗M = dim Span (X ⊗ Y)(X ⊗ Y)′ , X ⊗ Y ∈ S(L ⊗ M) one has rL⊗M ≤ ℓ(ℓ + 1) 2 m(m + 1) 2
< ℓm(ℓm + 1)
2
.
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Proposition
If dim L or dim M is less than 43, then L ⊗ M is not locally densest. Proof : set ℓ = dim L, m = dim M. Kitaoka’s result implies that the minimal vectors of L ⊗ M are split. Consequently, setting rL⊗M = dim Span (X ⊗ Y)(X ⊗ Y)′ , X ⊗ Y ∈ S(L ⊗ M) one has rL⊗M ≤ ℓ(ℓ + 1) 2 m(m + 1) 2
< ℓm(ℓm + 1)
2
.
- In particular, there is no hope to obtain extremal modular lattices in
this way.
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Tensor product of Hermitian lattices
K/Q an imaginary quadratic field, with ring of integers OK.
DK/Q (resp. dK) its different (resp. discriminant).
V ≃ K m endowed with a positive definite Hermitian form h. L a Hermitian lattice i.e. L = a1e1 ⊕ · · · ⊕ amem, where {e1, . . . , em} is a K-basis of V ≃ K m and the ais are fractional ideals in K. The discriminant of a pseudo-basis {e1, . . . , em} is det (h(ei, ej)). For any 1 ≤ r ≤ m = rankOK L we define dr(L) as the minimal discriminant of a free OK-sublattice of rank r of L. In particular, one has d1(L) = min(L) := min{h(v, v) | 0 v ∈ L}.
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The (Hermitian) dual of a Hermitian lattice L is defined as L# = y ∈ V | h(y, L) ⊂ OK
.
By restriction of scalars, an OK-lattice of rank m can be viewed as a Z-lattice of rank 2m, with inner product defined by x · y = TrK/Q h(x, y). The dual L∗ of L with respect to that inner product is linked to L# by L∗ = D−1
K/QL#.
The minimum of L, viewed as an ordinary Z-lattice, is twice its "Hermitian" minimum d1(L).
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Contrarily to the tensor product over Z, and rather surprisingly, the tensor product over imaginary quadratic fields has proved to be successful in constructing extremal lattices (see Bachoc-Nebe 1998).
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Contrarily to the tensor product over Z, and rather surprisingly, the tensor product over imaginary quadratic fields has proved to be successful in constructing extremal lattices (see Bachoc-Nebe 1998). Nevertheless, this happens only exceptionally :
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Contrarily to the tensor product over Z, and rather surprisingly, the tensor product over imaginary quadratic fields has proved to be successful in constructing extremal lattices (see Bachoc-Nebe 1998). Nevertheless, this happens only exceptionally : in general, the tensor product of Hermitian lattices fails to produce "dense" lattices (as does the tensor product of lattices over Z).
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Contrarily to the tensor product over Z, and rather surprisingly, the tensor product over imaginary quadratic fields has proved to be successful in constructing extremal lattices (see Bachoc-Nebe 1998). Nevertheless, this happens only exceptionally : in general, the tensor product of Hermitian lattices fails to produce "dense" lattices (as does the tensor product of lattices over Z). Any vector in a tensor product L ⊗OK M may be expressed as a sum
r
- i=1
li ⊗ mi
- f split vectors. The minimal number of summands in such an
expression is called the rank of z.
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Contrarily to the tensor product over Z, and rather surprisingly, the tensor product over imaginary quadratic fields has proved to be successful in constructing extremal lattices (see Bachoc-Nebe 1998). Nevertheless, this happens only exceptionally : in general, the tensor product of Hermitian lattices fails to produce "dense" lattices (as does the tensor product of lattices over Z). Any vector in a tensor product L ⊗OK M may be expressed as a sum
r
- i=1
li ⊗ mi
- f split vectors. The minimal number of summands in such an
expression is called the rank of z. The following proposition allows for an estimation of the minimal Hermitian norm of a tensor product L ⊗OK M:
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Proposition
Let L and M be Hermitian lattices. Then for any vector z ∈ L ⊗OK M
- f rank r one has
h(z, z) ≥ r dr(L)1/rdr(M)1/r. (1)
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Proposition
Let L and M be Hermitian lattices. Then for any vector z ∈ L ⊗OK M
- f rank r one has
h(z, z) ≥ r dr(L)1/rdr(M)1/r. (1) Moreover, a vector z of rank r in L ⊗OK M for which equality holds in (1) exists if and only if M and L contain minimal r-sections Mr and Lr such that Mr ≃ L#
r .
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Proposition
Let L and M be Hermitian lattices. Then for any vector z ∈ L ⊗OK M
- f rank r one has
h(z, z) ≥ r dr(L)1/rdr(M)1/r. (1) Moreover, a vector z of rank r in L ⊗OK M for which equality holds in (1) exists if and only if M and L contain minimal r-sections Mr and Lr such that Mr ≃ L#
r .
Proof : Arithmetic-geometric mean inequality.
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An extremal unimodular lattice in dimension 72
From now on, K = Q[
√ −7] = Q[α], where α2 − α + 2 = 0 so that OK = Z[α].
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An extremal unimodular lattice in dimension 72
From now on, K = Q[
√ −7] = Q[α], where α2 − α + 2 = 0 so that OK = Z[α].
The Barnes lattice Pb is a Hermitian lattice of rank 3 over Z[α], with Hermitian Gram matrix
2
α −1 β
2
α −1 β
2
.
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An extremal unimodular lattice in dimension 72
From now on, K = Q[
√ −7] = Q[α], where α2 − α + 2 = 0 so that OK = Z[α].
The Barnes lattice Pb is a Hermitian lattice of rank 3 over Z[α], with Hermitian Gram matrix
2
α −1 β
2
α −1 β
2
.
Then Pb is Hermitian unimodular, Pb = P#
b and has Hermitian
minimum min(Pb) = 2
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An extremal unimodular lattice in dimension 72
From now on, K = Q[
√ −7] = Q[α], where α2 − α + 2 = 0 so that OK = Z[α].
The Barnes lattice Pb is a Hermitian lattice of rank 3 over Z[α], with Hermitian Gram matrix
2
α −1 β
2
α −1 β
2
.
Then Pb is Hermitian unimodular, Pb = P#
b and has Hermitian
minimum min(Pb) = 2
as a Z-lattice, it is 6-dimensional, modular of level 7 and
minimum 4 (extremal).
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An extremal unimodular lattice in dimension 72
From now on, K = Q[
√ −7] = Q[α], where α2 − α + 2 = 0 so that OK = Z[α].
The Barnes lattice Pb is a Hermitian lattice of rank 3 over Z[α], with Hermitian Gram matrix
2
α −1 β
2
α −1 β
2
.
Then Pb is Hermitian unimodular, Pb = P#
b and has Hermitian
minimum min(Pb) = 2
as a Z-lattice, it is 6-dimensional, modular of level 7 and
minimum 4 (extremal). Fact :
- 1. d1(Pb) = 2.
- 2. d2(Pb) = 2.
- 3. d3(Pb) = 1.
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Michael Hentschel classified all Hermitian Z[α]-structures on the even unimodular Z-lattices of dimension 24.
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Michael Hentschel classified all Hermitian Z[α]-structures on the even unimodular Z-lattices of dimension 24.
exactly nine such Z[α] structures (Pi, h) (1 ≤ i ≤ 9) such that (Pi, traceZ[α]/Z ◦ h) Λ is the Leech lattice.
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Michael Hentschel classified all Hermitian Z[α]-structures on the even unimodular Z-lattices of dimension 24.
exactly nine such Z[α] structures (Pi, h) (1 ≤ i ≤ 9) such that (Pi, traceZ[α]/Z ◦ h) Λ is the Leech lattice. nine 36-dimensional Hermitian Z[α]-lattice Ri defined by
Ri := Pb ⊗Z[α] Pi
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Michael Hentschel classified all Hermitian Z[α]-structures on the even unimodular Z-lattices of dimension 24.
exactly nine such Z[α] structures (Pi, h) (1 ≤ i ≤ 9) such that (Pi, traceZ[α]/Z ◦ h) Λ is the Leech lattice. nine 36-dimensional Hermitian Z[α]-lattice Ri defined by
Ri := Pb ⊗Z[α] Pi so that (Ri, traceZ[α]/Z ◦ h) is an even unimodular lattice in dimension 72.
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Michael Hentschel classified all Hermitian Z[α]-structures on the even unimodular Z-lattices of dimension 24.
exactly nine such Z[α] structures (Pi, h) (1 ≤ i ≤ 9) such that (Pi, traceZ[α]/Z ◦ h) Λ is the Leech lattice. nine 36-dimensional Hermitian Z[α]-lattice Ri defined by
Ri := Pb ⊗Z[α] Pi so that (Ri, traceZ[α]/Z ◦ h) is an even unimodular lattice in dimension 72.
Theorem (C., Nebe, 2011)
The (Hermitian) minimum of the lattices Ri is either 3 or 4. The number of vectors of norm 3 in Ri is equal to the representation number of Pi for the sublattice Pb. In particular min(Ri) = 4 if and
- nly if the Hermitian Leech lattice Pi does not contain a sublattice
isomorphic to Pb.
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Theorem (C., Nebe, 2011)
The (Hermitian) minimum of the lattices Ri is either 3 or 4. The number of vectors of norm 3 in Ri is equal to the representation number of Pi for the sublattice Pb. In particular min(Ri) = 4 if and
- nly if the Hermitian Leech lattice Pi does not contain a sublattice
isomorphic to Pb.
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Theorem (C., Nebe, 2011)
The (Hermitian) minimum of the lattices Ri is either 3 or 4. The number of vectors of norm 3 in Ri is equal to the representation number of Pi for the sublattice Pb. In particular min(Ri) = 4 if and
- nly if the Hermitian Leech lattice Pi does not contain a sublattice
isomorphic to Pb. Proof : One checks easily that d1(Ri) = 2 and d2(Ri) = 12 7 . Together with the values of d1(Pb) and d2(Pb) computed before, it shows that vectors of rank 1 and 2 have Hermitian norm at least 4. As for vectors of rank 3, one checks easily that they have norm at least 3, and the case of equality is analysed via the previous proposition.
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To summarize, one has, for each of the nine Hermitian structures P1, . . . , P9 of the Leech lattice over Z[α], the following alternative :
◮ either Pi contains a sublattice isometric to Pb, in which case
Ri := Pb ⊗Z[α] Pi is not extremal (min Ri = 3)
◮ or Pi does not contain any sublattice isometric to Pb, in which
case Ri := Pb ⊗Z[α] Pi is extremal (min Ri = 4)
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To summarize, one has, for each of the nine Hermitian structures P1, . . . , P9 of the Leech lattice over Z[α], the following alternative :
◮ either Pi contains a sublattice isometric to Pb, in which case
Ri := Pb ⊗Z[α] Pi is not extremal (min Ri = 3)
◮ or Pi does not contain any sublattice isometric to Pb, in which
case Ri := Pb ⊗Z[α] Pi is extremal (min Ri = 4) It turns out that exactly one (out of nine) of the Hermitian lattices P1, . . . , P9 is in the second case, giving rise to an extremal lattice.
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To summarize, one has, for each of the nine Hermitian structures P1, . . . , P9 of the Leech lattice over Z[α], the following alternative :
◮ either Pi contains a sublattice isometric to Pb, in which case
Ri := Pb ⊗Z[α] Pi is not extremal (min Ri = 3)
◮ or Pi does not contain any sublattice isometric to Pb, in which
case Ri := Pb ⊗Z[α] Pi is extremal (min Ri = 4) It turns out that exactly one (out of nine) of the Hermitian lattices P1, . . . , P9 is in the second case, giving rise to an extremal lattice. This step requires a rather heavy computation using MAGMA.
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To summarize, one has, for each of the nine Hermitian structures P1, . . . , P9 of the Leech lattice over Z[α], the following alternative :
◮ either Pi contains a sublattice isometric to Pb, in which case
Ri := Pb ⊗Z[α] Pi is not extremal (min Ri = 3)
◮ or Pi does not contain any sublattice isometric to Pb, in which
case Ri := Pb ⊗Z[α] Pi is extremal (min Ri = 4) It turns out that exactly one (out of nine) of the Hermitian lattices P1, . . . , P9 is in the second case, giving rise to an extremal lattice. This step requires a rather heavy computation using MAGMA. Question : can one find a more direct argument to prove that one
- f the Pi, say P1, does not contain any sublattice isometric to Pb
while the eight others do ?
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Slopes of lattices, tensor product of semi-stable lattices.
L ⊂∈ Rn a lattice. We may assume, up to scaling, that det L = 1. The profile of L is defined as follows (Grayson ’84, Stuhler ’76):
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Slopes of lattices, tensor product of semi-stable lattices.
L ⊂∈ Rn a lattice. We may assume, up to scaling, that det L = 1. The profile of L is defined as follows (Grayson ’84, Stuhler ’76):
log det M dim M (0,0) (n,0) (1, log(min L))
for every primitive sublattice M of L, plot
(dim M, log det M)
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Slopes of lattices, tensor product of semi-stable lattices.
L ⊂∈ Rn a lattice. We may assume, up to scaling, that det L = 1. The profile of L is defined as follows (Grayson ’84, Stuhler ’76):
dim M log det M
for every primitive sublattice M of L, plot
(dim M, log det M)
add the vertical lines (0, ∞) and (n, ∞) and take the convex hull of the resulting set of points.
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Slopes of lattices, tensor product of semi-stable lattices.
L ⊂∈ Rn a lattice. We may assume, up to scaling, that det L = 1. The profile of L is defined as follows (Grayson ’84, Stuhler ’76):
dim M log det M
for every primitive sublattice M of L, plot
(dim M, log det M)
add the vertical lines (0, ∞) and (n, ∞) and take the convex hull of the resulting set of points. The profile of L is the polygonal boundary
- f this convex hull.
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Slopes of lattices, tensor product of semi-stable lattices.
L ⊂∈ Rn a lattice. We may assume, up to scaling, that det L = 1. The profile of L is defined as follows (Grayson ’84, Stuhler ’76):
dim M log det M
for every primitive sublattice M of L, plot
(dim M, log det M)
add the vertical lines (0, ∞) and (n, ∞) and take the convex hull of the resulting set of points. The profile of L is the polygonal boundary
- f this convex hull.
minimal slope = minM⊂L log det M dim M
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Slopes of lattices, tensor product of semi-stable lattices.
L ⊂∈ Rn a lattice. We may assume, up to scaling, that det L = 1. The profile of L is defined as follows (Grayson ’84, Stuhler ’76):
dim M log det M
for every primitive sublattice M of L, plot
(dim M, log det M)
add the vertical lines (0, ∞) and (n, ∞) and take the convex hull of the resulting set of points. The profile of L is the polygonal boundary
- f this convex hull.
minimal slope = minM⊂L log det M dim M = log mink (dkL)1/k
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Slopes of lattices, tensor product of semi-stable lattices.
L ⊂∈ Rn a lattice. We may assume, up to scaling, that det L = 1. The profile of L is defined as follows (Grayson ’84, Stuhler ’76):
dim M log det M
for every primitive sublattice M of L, plot
(dim M, log det M)
add the vertical lines (0, ∞) and (n, ∞) and take the convex hull of the resulting set of points. The profile of L is the polygonal boundary
- f this convex hull.
minimal slope = minM⊂L log det M dim M = log mink (dkL)1/k (dkL = minimal determinant of k-dimensional sublattices of L)
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From now on, we set
µ(L) = mink (dkL)1/k
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From now on, we set
µ(L) = mink (dkL)1/k
and we denote by κ(L) the set of k such that µ(L) = (dkL)1/k.
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From now on, we set
µ(L) = mink (dkL)1/k
and we denote by κ(L) the set of k such that µ(L) = (dkL)1/k. Examples :
◮
dim M log det M
µ(L) = min L , κ(L) = 1.
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From now on, we set
µ(L) = mink (dkL)1/k
and we denote by κ(L) the set of k such that µ(L) = (dkL)1/k. Examples :
◮
dim M log det M
µ(L) = min L , κ(L) = 1.
◮ If L is unimodular, µ(L) = det L.
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From now on, we set
µ(L) = mink (dkL)1/k
and we denote by κ(L) the set of k such that µ(L) = (dkL)1/k. Let Sk(L) be the set of minimal sublattices of dimension k of L.
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From now on, we set
µ(L) = mink (dkL)1/k
and we denote by κ(L) the set of k such that µ(L) = (dkL)1/k. Let Sk(L) be the set of minimal sublattices of dimension k of L.
Proposition (Grayson)
There exists a unique sublattice M0 of L such that
- 1. (det M0)1/ det M0 = µ(L)
- 2. M0 ⊃ Sk(L) for any k ∈ κ(L).
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From now on, we set
µ(L) = mink (dkL)1/k
and we denote by κ(L) the set of k such that µ(L) = (dkL)1/k. Let Sk(L) be the set of minimal sublattices of dimension k of L.
Proposition (Grayson)
There exists a unique sublattice M0 of L such that
- 1. (det M0)1/ det M0 = µ(L)
- 2. M0 ⊃ Sk(L) for any k ∈ κ(L).
When µ(L) = det L (i.e. M0 = L), we say that L is semi-stable.
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Conjecture (Bost)
For any lattices L and M, one has
µ(L ⊗ M) = µ(L)µ(M).
(equivalently the tensor product of semi-stable lattices is semi-stable)
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Conjecture (Bost)
For any lattices L and M, one has
µ(L ⊗ M) = µ(L)µ(M).
(equivalently the tensor product of semi-stable lattices is semi-stable)
◮ True if dim M + dim L < 5 (De Shalit, Parzanchevski, preprint
2006).
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Conjecture (Bost)
For any lattices L and M, one has
µ(L ⊗ M) = µ(L)µ(M).
(equivalently the tensor product of semi-stable lattices is semi-stable)
◮ True if dim M + dim L < 5 (De Shalit, Parzanchevski, preprint
2006).
◮ True if Aut M or Aut L acts irreducibly (Gaudron-Rémond,
preprint 2011).
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