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Spinor regular ternary quadratic lattices Anna Haensch Duquesne 1 - - PowerPoint PPT Presentation

Spinor regular ternary quadratic lattices Anna Haensch Duquesne 1 University Joint work with Andy Earnest Computational Challenges in the Theory of Lattices ICERM 27 April 2018 1 doo-KANE 1 / 39 A rational polynomial f ( x 1 , ..., x n )


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Spinor regular ternary quadratic lattices

Anna Haensch Duquesne1 University

Joint work with Andy Earnest

Computational Challenges in the Theory of Lattices ICERM 27 April 2018

1doo-KANE 1 / 39

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A rational polynomial f (x1, ..., xn) represents an integer a if f (x1, ..., xn) = a has a solution with x1, ..., xn integers.

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A rational polynomial f (x1, ..., xn) represents an integer a if f (x1, ..., xn) = a has a solution with x1, ..., xn integers. The Representation Problem Can we determine the set of all integers represented by f ?

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Hilbert’s 10th Problem, 1900 To devise a process according to which it can be determined in a finite number of operations whether a given Diophantine equation is solvable in rational integers.

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Hilbert’s 10th Problem, 1900 To devise a process according to which it can be determined in a finite number of operations whether a given Diophantine equation is solvable in rational integers. Matiyasevich (1970) → no general solution exists.

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Theorem (Siegel, 1972) For f quadratic, there exists a number C depending on a and f , such that if f (x1, ..., xn) = a has an integer solution, then it must have one with max

i≤i≤a | xi |≤ C.

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Theorem (Siegel, 1972) For f quadratic, there exists a number C depending on a and f , such that if f (x1, ..., xn) = a has an integer solution, then it must have one with max

i≤i≤a | xi |≤ C.

tl;dr → it’s possible, but totally impractical.

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Theorem (Hasse, 1920) For f quadratic, the equation f (x1, ..., xn) = a has a rational solution if and only if has a solution over Qp for every prime p, and over R.

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Theorem (Hasse, 1920) For f quadratic, the equation f (x1, ..., xn) = a has a rational solution if and only if has a solution over Qp for every prime p, and over R. → Local-Global Principle

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Example 1: Let f be the quadratic equation f (x, y) = x2 + 11y2.

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Example 1: Let f be the quadratic equation f (x, y) = x2 + 11y2. Then 1 2 2 + 11 1 2 2 = 12 4 = 3

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Example 1: Let f be the quadratic equation f (x, y) = x2 + 11y2. Then 1 2 2 + 11 1 2 2 = 12 4 = 3 and 4 3 2 + 11 1 3 2 = 27 9 = 3

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Example 1: Let f be the quadratic equation f (x, y) = x2 + 11y2. Then 1 2 2 + 11 1 2 2 = 12 4 = 3 and 4 3 2 + 11 1 3 2 = 27 9 = 3 but clearly f (x, y) = 3 has no integral solution.

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The Big Question: To what extent does an integral local-global principle hold? When does it fail? And why? And how badly?

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The General Setup

A quadratic polynomial f ( x) can be written as f ( x) = q( x) + ℓ( x) + c where

◮ q is a homogeneous quadratic. ◮ ℓ is a homogeneous linear. ◮ c is a constant.

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The General Setup

A quadratic polynomial f ( x) can be written as f ( x) = q( x) + ℓ( x) where

◮ q is a homogeneous quadratic. ◮ ℓ is a homogeneous linear. ◮ c is a constant.

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The Homogeneous Case

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The Homogeneous Case

For f ( x) = q( x) homogeneous (positive definite), define L = (Zn, q). Then L is a quadratic lattice, and q(L) = {a ∈ N : f (x1, ..., xn) = a has a solution in Zn}.

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The Homogeneous Case

For f ( x) = q( x) homogeneous (positive definite), define L = (Zn, q). Then L is a quadratic lattice, and q(L) = {a ∈ N : f (x1, ..., xn) = a has a solution in Zn}. For p prime, define the local lattice as Lp = L ⊗Z Zp and q(Lp) accordingly.

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For a quadratic lattice L = (Zn, q) and V = QL,

◮ the class of L is given by

cls(L) = O(V ) · L,

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For a quadratic lattice L = (Zn, q) and V = QL,

◮ the class of L is given by

cls(L) = O(V ) · L,

◮ the spinor genus of L is given by

spn(L) = O+(V )O′

A(L) · L,

where O′(Vp) is the kernel of the spinor norm map, θ,

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For a quadratic lattice L = (Zn, q) and V = QL,

◮ the class of L is given by

cls(L) = O(V ) · L,

◮ the spinor genus of L is given by

spn(L) = O+(V )O′

A(L) · L,

where O′(Vp) is the kernel of the spinor norm map, θ,

◮ the genus of L is given by

gen(L) = OA(V ) · L.

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For a quadratic lattice L = (Zn, q) and V = QL,

◮ the class of L is given by

cls(L) = O(V ) · L = {M ⊆ V : M ∼ = L},

◮ the spinor genus of L is given by

spn(L) = O+(V )O′

A(L) · L,

where O′(Vp) is the kernel of the spinor norm map, θ,

◮ the genus of L is given by

gen(L) = OA(V ) · L = {M ⊆ V : Mp ∼ = Lp for all p}.

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Similarly to q(L), define

◮ q(spn(L))= the set of integers represented by M ∈ spn(L). ◮ q(gen(L))= the set of integers represented by M ∈ gen(L).

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Similarly to q(L), define

◮ q(spn(L))= the set of integers represented by M ∈ spn(L). ◮ q(gen(L))= the set of integers represented by M ∈ gen(L).

A nice integral local global principle would look like “a ∈ q(gen(L)) ⇐ ⇒ a ∈ q(L)”

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Similarly to q(L), define

◮ q(spn(L))= the set of integers represented by M ∈ spn(L). ◮ q(gen(L))= the set of integers represented by M ∈ gen(L).

A nice integral local global principle would look like “a ∈ q(gen(L)) ⇐ ⇒ a ∈ q(L)” ...but that would be incorrect (recall example 1).

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Example 2: Let L be the lattice with quadratic map q(x, y, z) = x2 + y2 + z2

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Example 2: Let L be the lattice with quadratic map q(x, y, z) = x2 + y2 + z2 then q(L) = {n ∈ N : n = 4a(8b + 7) for a, b ∈ Z}.

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Example 2: Let L be the lattice with quadratic map q(x, y, z) = x2 + y2 + z2 then q(L) = {n ∈ N : n = 4a(8b + 7) for a, b ∈ Z}. Here, gen(L) = spn(L) = cls(L) so clearly q(gen(L)) = q(L).

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The Big Question: Under what conditions does q(gen(L)) = q(L) hold?

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The Big Question: Under what conditions does q(gen(L)) = q(L) hold? And if it fails, why, and where, and how badly?

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The Big Question: Under what conditions does q(spn(L)) = q(L) hold? And if it fails, why, and where, and how badly?

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Theorem (Kloosterman, 1926, Tartakowsky, 1929) For positive definite L with rk(L) ≥ 4 then a ∈ gen(L) ⇐ ⇒ a ∈ q(L) provided that a ≫ 0 (and ps ∤ a for p anisotropic when n = 4).

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Theorem (Kloosterman, 1926, Tartakowsky, 1929) For positive definite L with rk(L) ≥ 4 then a ∈ gen(L) ⇐ ⇒ a ∈ q(L) provided that a ≫ 0 (and ps ∤ a for p anisotropic when n = 4).

◮ Hsia, Kneser Kitaoka (1977): Gave computable constant

a ∈ gen(L) ⇐ ⇒ a ∈ q(L) if a ≫ C.

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Theorem (Kloosterman, 1926, Tartakowsky, 1929) For positive definite L with rk(L) ≥ 4 then a ∈ gen(L) ⇐ ⇒ a ∈ q(L) provided that a ≫ 0 (and ps ∤ a for p anisotropic when n = 4).

◮ Hsia, Kneser Kitaoka (1977): Gave computable constant

a ∈ gen(L) ⇐ ⇒ a ∈ q(L) if a ≫ C.

◮ Icaza (1999): Made C effective.

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Theorem (Duke, Schulze-Pillot, 1990) For positive definite L with rk(L) = 3, a ∈∗ q(spn(L)) ⇐ ⇒ a ∈ q(L) provided that a ≫ 0.

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What might the genus look like?

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What might the genus look like?

Class Number One Spinor-Class Number One Single Spinor Genus Worst Case Scenario 16 / 39

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Theorem (Earnest, Hsia, 1991) For a positive-definite lattice L with rank n ≥ 5, gen(L) = cls(L) ⇐ ⇒ spn(L) = cls(L)

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Theorem (Earnest, Hsia, 1991) For a positive-definite lattice L with rank n ≥ 5, gen(L) = cls(L) ⇐ ⇒ spn(L) = cls(L)

Class Number One Spinor-Class Number One 17 / 39

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Goal 1:

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Goal 1: To classify all lattices which are regular, that is q(gen(L)) = q(L),

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Goal 1: To classify all lattices which are regular, that is q(gen(L)) = q(L), and spinor regular, that is, q(spn(L)) = q(L).

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When rk(L) ≥ 4, there are infinitely many regular forms.

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Theorem (Jagy, Kaplansky, Schiemann, 1997) There are at most 913 regular ternary lattices, that is, lattices for which q(gen(L)) = q(L).

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Theorem (Jagy, Kaplansky, Schiemann, 1997) There are at most 913 regular ternary lattices, that is, lattices for which q(gen(L)) = q(L).

◮ Jagy, Kaplansky, Schiemann, 1997: Confirmed 891 of them to

be regular.

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Theorem (Jagy, Kaplansky, Schiemann, 1997) There are at most 913 regular ternary lattices, that is, lattices for which q(gen(L)) = q(L).

◮ Jagy, Kaplansky, Schiemann, 1997: Confirmed 891 of them to

be regular.

◮ Oh, 2011: Confirmed 8 more on the list.

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Theorem (Jagy, Kaplansky, Schiemann, 1997) There are at most 913 regular ternary lattices, that is, lattices for which q(gen(L)) = q(L).

◮ Jagy, Kaplansky, Schiemann, 1997: Confirmed 891 of them to

be regular.

◮ Oh, 2011: Confirmed 8 more on the list. ◮ Lemke Oliver, 2015: Confirmed remaining 14 assuming GRH.

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Theorem (Jagy, 2004) There are 29 spinor regular ternary lattices which aren’t regular, that is, lattices for which q(gen(L)) = q(spn(L)) = q(L). for which dL < 575, 000.

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Theorem (Jagy, 2004) There are 29 spinor regular ternary lattices which aren’t regular, that is, lattices for which q(gen(L)) = q(spn(L)) = q(L). for which dL < 575, 000. Theorem (Earnest, H-, 2017) Jagy’s list is complete.

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The Watson Transformation

For an odd prime p and Lp ∼ = a, pβb, pγc with a, b, c ∈ Z×

p and β ≤ γ, define

(λp(L))p =      a, b, pγ−2c if β = 0 b, pβ−1a, pγ−1c if β = 1 a, pβ−2b, pγ−2c if β ≥ 2.

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The Watson Transformation

For an odd prime p and Lp ∼ = a, pβb, pγc with a, b, c ∈ Z×

p and β ≤ γ, define

(λp(L))p =      a, b, pγ−2c if β = 0 b, pβ−1a, pγ−1c if β = 1 a, pβ−2b, pγ−2c if β ≥ 2. Two key observations:

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The Watson Transformation

For an odd prime p and Lp ∼ = a, pβb, pγc with a, b, c ∈ Z×

p and β ≤ γ, define

(λp(L))p =      a, b, pγ−2c if β = 0 b, pβ−1a, pγ−1c if β = 1 a, pβ−2b, pγ−2c if β ≥ 2. Two key observations:

◮ For q = p, (λp(L))q = Lu q for u ∈ Z× q .

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The Watson Transformation

For an odd prime p and Lp ∼ = a, pβb, pγc with a, b, c ∈ Z×

p and β ≤ γ, define

(λp(L))p =      a, b, pγ−2c if β = 0 b, pβ−1a, pγ−1c if β = 1 a, pβ−2b, pγ−2c if β ≥ 2. Two key observations:

◮ For q = p, (λp(L))q = Lu q for u ∈ Z× q . ◮ ordp(dλp(L)) = ordp(dL) − 1, 2, 4

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The Preservation of Regularity

A lattice L is said to behave well if 2p2 ∤ dL and L is not split by H

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The Preservation of Regularity

A lattice L is said to behave well if 2p2 ∤ dL and L is not split by H Theorem (Chan, Earnest, 2004) For spinor regular lattice L,

◮ If L behaves well at every prime then L is regular.

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The Preservation of Regularity

A lattice L is said to behave well if 2p2 ∤ dL and L is not split by H Theorem (Chan, Earnest, 2004) For spinor regular lattice L,

◮ If L behaves well at every prime then L is regular. ◮ If ordp(dL) ≥ rp then L does not behave well.

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The Preservation of Regularity

A lattice L is said to behave well if 2p2 ∤ dL and L is not split by H Theorem (Chan, Earnest, 2004) For spinor regular lattice L,

◮ If L behaves well at every prime then L is regular. ◮ If ordp(dL) ≥ rp then L does not behave well. ◮ If L does not behave well, then λp(L) is spinor regular.

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The Preservation of Regularity

A lattice L is said to behave well if 2p2 ∤ dL and L is not split by H Theorem (Chan, Earnest, 2004) For spinor regular lattice L,

◮ If L behaves well at every prime then L is regular. ◮ If ordp(dL) ≥ rp then L does not behave well. ◮ If L does not behave well, then λp(L) is spinor regular. ◮ There exists L′ with ordp(dL′) = ordp(dL) and L′ behaves well

at all q = p.

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The Reduction

Suppose L is spinor regular and dL = paa

1 · · · pak k

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The Reduction

Suppose L is spinor regular and dL = paa

1 · · · pak k

For each pi replace L with L′, then either

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The Reduction

Suppose L is spinor regular and dL = paa

1 · · · pak k

For each pi replace L with L′, then either L′ behaves well at pi = ⇒ L′ is regular

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The Reduction

Suppose L is spinor regular and dL = paa

1 · · · pak k

For each pi replace L with L′, then either L′ behaves well at pi = ⇒ L′ is regular

  • r

L′ not behaves well at pi = ⇒ λpi(L′) is spinor regular

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The Reduction

Suppose L is spinor regular and dL = paa

1 · · · pak k

For each pi replace L with L′, then either L′ behaves well at pi = ⇒ L′ is regular

  • r

L′ not behaves well at pi = ⇒ λpi(L′) is spinor regular . . . = ⇒ λδ

pi(L′) is regular

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The Reduction

Suppose L is spinor regular and dL = paa

1 · · · pak k

For each pi replace L with L′, then either L′ behaves well at pi = ⇒ L′ is regular

  • r

L′ not behaves well at pi = ⇒ λpi(L′) is spinor regular . . . = ⇒ λδ

pi(L′) is regular

Therefore, pi ∈ {2, 3, 5, 7, 11, 13, 17, 23}

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The Reduction

For any odd pair, p · q, do the same trick then p · q ∈ {3 · 5, 3 · 7, 3 · 11, 3 · 13, 5 · 7, 11 · 13}

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The Reduction

For any odd pair, p · q, do the same trick then p · q ∈ {3 · 5, 3 · 7, 3 · 11, 3 · 13, 5 · 7, 11 · 13} and any triple must be of the form 2 · p · q with p · q coming from above.

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The “Skip 4” Method

Lemma For a prime p with t > rp and gcd(p, m) = 1, if ptm, pt+1m, pt+2m and, pt+3m are not regular or spinor regular discriminants, then pt0m is not a spinor regular discriminant for any t0 > t.

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Discriminant Elimination

Suppose L is spinor regular but not regular with dL = 2k · 17m, and L17 ∼ = a, 17βb, 17γc. If β + γ > 2 then

  • λδ

17(L)

  • 17 = a, 17β′b, 17γ′c

is spinor regular where β′ + γ′ = 1, 2.

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Discriminant Elimination

Suppose L is spinor regular but not regular with dL = 2k · 17m, and L17 ∼ = a, 17βb, 17γc. If β + γ > 2 then

  • λδ

17(L)

  • 17 = a, 17β′b, 17γ′c

is spinor regular where β′ + γ′ = 1, 2. → appeal to JKS list of 913.

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Discriminant Elimination

Suppose L is spinor regular but not regular with dL = 3k · 7m.

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Discriminant Elimination

Suppose L is spinor regular but not regular with dL = 3k · 7m. 3k · 7m 7 72 73 74 75 76 3 dr dr

  • 32

dr dr

  • 33

dr dr

  • *

34

  • *

* 35

  • *

* * 36

  • *

* * 37

  • *

* * * dr = discriminant of a regular form * = product greater than 575,000 r3 = 5 r7 = 2

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Goal 2:

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Goal 2: To classify all lattices with class number 1, that is, gen(L) = cls(L),

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Goal 2: To classify all lattices with class number 1, that is, gen(L) = cls(L), and spinor class number 1, that is, spn(L) = gen(L).

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Theorem (Kirshmer, Lorch, 2013) An enumeration of all positive definite L with gen(L) = spn(L) = cls(L), that is, L has class number 1.

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Theorem (Earnest, H-, 2017) There are 27 ternary forms, for which gen(L) = spn(L) = cls(L), that is, L has spinor class number 1, but L has class number greater than 1.

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Theorem (Earnest, H-, 2018) There is only one quaternary form, q(x, y, z, w) = x2 + xy + 7y2 + 3z2 + 3zw + 3w2, which has spinor class number 1, but class number greater than 1.

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Algorithm (Earnest, Nipp, 1991) INPUT: A prime p and a lattice discriminant D. OUTPUT: List of isometry class representatives for lattices with discriminant p2D.

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Algorithm (Earnest, Nipp, 1991) INPUT: A prime p and a lattice discriminant D. OUTPUT: List of isometry class representatives for lattices with discriminant p2D.

1 Let P be the set of all matrices

    1 1 1 p     ,     1 1 p a 1     ,     1 p a b 1 a 1     ,     p a b c 1 1 a 1    

where a, b, c < p non-negative integers.

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Algorithm (Earnest, Nipp, 1991) INPUT: A prime p and a lattice discriminant D. OUTPUT: List of isometry class representatives for lattices with discriminant p2D.

1 Let P be the set of all matrices

    1 1 1 p     ,     1 1 p a 1     ,     1 p a b 1 a 1     ,     p a b c 1 1 a 1    

where a, b, c < p non-negative integers.

2 For A ∈ D a set of representative lattices of discriminant D,

and for P ∈ P, compute PtAP.

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Algorithm (Earnest, Nipp, 1991) INPUT: A prime p and a lattice discriminant D. OUTPUT: List of isometry class representatives for lattices with discriminant p2D.

1 Let P be the set of all matrices

    1 1 1 p     ,     1 1 p a 1     ,     1 p a b 1 a 1     ,     p a b c 1 1 a 1    

where a, b, c < p non-negative integers.

2 For A ∈ D a set of representative lattices of discriminant D,

and for P ∈ P, compute PtAP.

3 Reduce the set of all PtAP up to isometry.

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The Computational Tools

◮ The lattices of class number 1 are stored in the LMFDB.

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The Computational Tools

◮ The lattices of class number 1 are stored in the LMFDB. ◮ If L has class number 1 and p | dL, then

p ∈ {2, 3, 5, 7, 11, 13, 17, 23} and structure of Lp can be explicitly determined using Sagemath.

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The Computational Tools

◮ The lattices of class number 1 are stored in the LMFDB. ◮ If L has class number 1 and p | dL, then

p ∈ {2, 3, 5, 7, 11, 13, 17, 23} and structure of Lp can be explicitly determined using Sagemath.

◮ Use variant of λp that deceases spinor class number.

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The Computational Tools

◮ The lattices of class number 1 are stored in the LMFDB. ◮ If L has class number 1 and p | dL, then

p ∈ {2, 3, 5, 7, 11, 13, 17, 23} and structure of Lp can be explicitly determined using Sagemath.

◮ Use variant of λp that deceases spinor class number. ◮ Use Algorithm with Nipp quaternary tables as input.

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The Computational Tools

◮ The lattices of class number 1 are stored in the LMFDB. ◮ If L has class number 1 and p | dL, then

p ∈ {2, 3, 5, 7, 11, 13, 17, 23} and structure of Lp can be explicitly determined using Sagemath.

◮ Use variant of λp that deceases spinor class number. ◮ Use Algorithm with Nipp quaternary tables as input. ◮ Explicit computation of genus and spinor genus using Magma.

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An Open Question: Can all of the above classifications be extended to primitive representations? That is, when does a ∈∗ q(gen(L)) ⇐ ⇒ a ∈∗ q(spn(L)) ⇐ ⇒ a ∈∗ q(L) hold, and when does it fail? And why...and how badly?

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The Inhomogeneous Case

For f ( x) = q( x) + ℓ( x) inhomogeneous, f (x1, ..., xn) = a has a solution, if and only if a ∈ q(v + L) where v + L is a lattice coset for v ∈ QL.

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Theorem (Chan, Ricci, 2015) Under certain arithmetic conditions, there are only finitely many equivalence classes of v + L for which a ∈ q(gen(v + L)) ⇐ ⇒ a ∈ q(v + L)

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SLIDE 93

An Open Question: Under what conditions does a ∈ q(gen(v + L)) ⇐ ⇒ a ∈ q(spn(v + L)) ⇐ ⇒ a ∈ q(v + L) fail, and why, and how badly?

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slide-94
SLIDE 94

Thank You!

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