On the Advancements of Conformal Transformations and their Associated Symmetries in Geometry
Jordan Systems and Associated Geometric Structures · Introduction: chain geometry The chain...
Transcript of Jordan Systems and Associated Geometric Structures · Introduction: chain geometry The chain...
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Jordan Systems and Associated
Geometric Structures
Andrea Blunck
Universitat Hamburg, Department Mathematik
Andrea Blunck: Jordan Systems and Associated Geometric Structures ZiF, August 2009
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Outline of the talk
• Introduction: Jordan systems, chain geometries, and their connections(an overview)
• Jordan systems and related algebraic structures
• Chain geometries and their subspaces
•
•
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Outline of the talk
• Introduction: Jordan systems, chain geometries, and theirconnections (an overview)
• Jordan systems and related algebraic structures
• Chain geometries and their subspaces
•
•
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Introduction: Jordan systems
K commutative field
R associative K-algebra (with 1), i.e. a ring with K ⊆ Z(R), 1K = 1R =: 1
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Introduction: Jordan systems
K commutative field
R associative K-algebra (with 1), i.e. a ring with K ⊆ Z(R), 1K = 1R =: 1
J ⊆ R is called a Jordan system in R, if:
• J is a subspace of the vector space R over K,
• 1 ∈ J ,
• a ∈ J , a invertible in R ⇒ a−1 ∈ J (i.e., J is closed under inversion)
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Introduction: Jordan systems
Example: R = M(2× 2,K) matrix algebra
J = {symmetric matrices} = {A ∈ R | A = At}
A =
(
a bb c
)
∈ J invertible =⇒ A−1 = 1ac−b2
(
c −b−b a
)
∈ J
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Introduction: chain geometry
The chain geometry associated to a K-algebra R:
Σ = Σ(K, R) = (P, C) (points,“chains”)
where, in particular, P = P(R) is the projective line over the ring R
Abstract (synthetic) concept: chain space
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Introduction: chain geometry
Example: Σ(R, C), the real Mobius plane:
P: points on a sphere in R3
C: circles on the sphere = plane sections of the sphere
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Introduction: chain geometry
Example: Σ(R, C), the real Mobius plane:
P: points on a sphere in R3
C: circles on the sphere = plane sections of the sphere
Stereographic projection from the north pole n ∈ P:
P→ C ∪ {∞} = P(C),
and each circle C ∈ C is mapped to a circle in C or (if n ∈ C) to anextended line L ∪ {∞}
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Introduction: chain geometry
Σ = (P, C) chain space
S is a subspace of Σ, if
• S ⊆ P,
• (S, C(S)) is a chain space, where C(S) = {all chains contained in S}.
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Introduction: chain geometry
Example:
Let Q be quadric in PG(n, K), n > 3 (with certain properties).
Then, using the plane sections of Q, one obtains a chain space Σ(Q).
Let U be a projective subspace of PG(n, K).
Then Q′ = Q ∩ U is a quadric in U and a subspace of Σ(Q).
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Introduction: chain geometry
Theorem. (A. Herzer 1992). Under certain conditions:
subspaces of Σ(K, R) ←→ Jordan systems in R.
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Outline of the talk
• Introduction: Jordan systems, chain geometries, and their connections(an overview)
• Jordan systems and related algebraic structures
• Chain geometries and their subspaces
•
•
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Jordan systems and related algebraic structures
Jordan systems:
• named after Pascual Jordan (1902-1980), German physicist
• name due to Herzer
• connections to: Jordan algebras, Jordan homomorphisms, . . .
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Jordan systems and related algebraic structures
Special Lie and Jordan algebras
R associative K-algebra
−→ Lie algebra R− = (R, +, [ , ]), where [a, b] = ab− ba
A Lie subalgebra of some R− is called a special Lie algebra; and one canshow that every Lie algebra is special.
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Jordan systems and related algebraic structures
Special Lie and Jordan algebras
R associative K-algebra
−→ Lie algebra R− = (R, +, [ , ]), where [a, b] = ab− ba
A Lie subalgebra of some R− is called a special Lie algebra; and one canshow that every Lie algebra is special.
−→ Jordan algebra R+ = (R, +, ◦), where a◦b = 12(ab+ba) (charK 6= 2)
A Jordan subalgebra of some R+ is called a special Jordan algebra; and notevery Jordan algebra is special.
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Jordan systems and related algebraic structures
A (commutative) Jordan algebra is a (non-associative) K-algebra (R,+, ◦)satisfying
• a ◦ b = b ◦ a (commutativity)
• (a ◦ b) ◦ (a ◦ a) = a ◦ (b ◦ (a ◦ a)) (Jordan identity)
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Jordan systems and related algebraic structures
Example: Let M be the set of all matrices of the following type:
α x yx β zy z γ
, α, β, γ ∈ R, x, y, z ∈ O
Then (M, +, ◦) with A ◦ B = 12(AB + BA) is an exceptional (i.e. not
special) Jordan algebra.
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Jordan systems and related algebraic structures
Let R be an associative K-algebra, let R∗ the set of units (multiplicativelyinvertible elements) of R. Let J ⊆ R be a subspace of the vector space Rwith 1 ∈ J . Then we call J
• Jordan system in R, if ∀a ∈ J ∩R∗ : a−1 ∈ J .
• Jordan closed in R, if ∀a, b ∈ J : aba ∈ J .
• strong in R, if ∀a ∈ J : |e(a)| > |K \ e(a)|,where e(a) = {k ∈ K | k + a ∈ R∗}.
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Jordan systems and related algebraic structures
Let R be an associative K-algebra, let R∗ the set of units (multiplicativelyinvertible elements) of R. Let J ⊆ R be a subspace of the vector space Rwith 1 ∈ J . Then we call J
• Jordan system in R, if ∀a ∈ J ∩R∗ : a−1 ∈ J .
• Jordan closed in R, if ∀a, b ∈ J : aba ∈ J .
• strong in R, if ∀a ∈ J : |e(a)| > |K \ e(a)|,where e(a) = {k ∈ K | k + a ∈ R∗}.
Proposition. (Herzer). Let J be a strong Jordan system in R. Then Jis Jordan closed in R.
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Jordan systems and related algebraic structures
Let J be Jordan closed in R (e.g. J a strong Jordan system in R). Then
• J is closed with respect to squaring: For a ∈ J we have a2 = a ·1 ·a ∈ J .
• For a, b ∈ J also ab + ba ∈ J , since ab + ba = (a + b)2 − a2 − b2.
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Jordan systems and related algebraic structures
Let J be Jordan closed in R (e.g. J a strong Jordan system in R). Then
• J is closed with respect to squaring: For a ∈ J we have a2 = a ·1 ·a ∈ J .
• For a, b ∈ J also ab + ba ∈ J , since ab + ba = (a + b)2 − a2 − b2.
So in case of charK 6= 2 we have that J is a special Jordan algebra (aJordan subalgebra of R+).
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Jordan systems and related algebraic structures
Example 1: R = K[t] polynomial ring; then R∗ = K∗ = K \ {0}.
J = K + Kt is a subspace of the vector space R with 1 ∈ J .
• J is not closed w.r.t. multiplication,
• J is a Jordan system in R:
a = α + βt ∈ J ∩R∗ =⇒ α 6= 0 and β = 0 =⇒ a−1 = α−1 ∈ J .
• J is not Jordan closed in R: t · 1 · t = t2 /∈ J .
• J is not strong in R: e(t) = ∅.
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Jordan systems and related algebraic structures
Example 2: R = K[t]/(t3) (chain ring); then R∗ = R \Kt + Kt2.
J = K + Kt is a subspace of the vector space R with 1 ∈ J .
• J is not closed w.r.t. multiplication,
• J is not a Jordan system in R:
a = 1 + t ∈ J ∩R∗ but a−1 = 1− t + t2 /∈ J .
• J is not Jordan closed in R: t · 1 · t = t2 /∈ J .
• J is strong in R (if |K| > 2):
e(α + βt) = {k ∈ K | k + α + βt ∈ R∗} = {k ∈ K | k 6= −α}.
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Jordan systems and related algebraic structures
Example 3: R = M(n× n, K) matrix algebra
J = {A ∈ R | A = At} (symmetric matrices)
J is a Jordan system in R and also Jordan closed in R:
(A−1)t = (At)−1, (ABA)t = AtBtAt.
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Jordan systems and related algebraic structures
Example 3: R = M(n× n, K) matrix algebra
J = {A ∈ R | A = At} (symmetric matrices)
J is a Jordan system in R and also Jordan closed in R:
(A−1)t = (At)−1, (ABA)t = AtBtAt.
Generalization: R an arbitrary K-algebra, κ an anti-automorphism of R(i.e., (ab)κ = bκaκ). Then J = Fixκ = {a ∈ R | a = aκ} is a Jordanclosed Jordan system in R.
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Jordan systems and related algebraic structures
Example 4: O Cayley’s octonions (8-dimensional real non-associativedivision algebra); R = End
R(O) endomorphism ring of the vector space RO
(so R ∼= M(8× 8, R)).
J = {ρu : x 7→ xu | u ∈ O} (right multiplications)
J is a Jordan system in R and also Jordan closed in R, because in O thefollowing identities are valid:
• (xu)u−1 = x (=⇒ (ρu)−1 = ρu−1)
• ((xu)v)u = x(uvu) (=⇒ ρuρvρu = ρuvu)
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Jordan systems and related algebraic structures
Example 4: O Cayley’s octonions (8-dimensional real non-associativedivision algebra); R = End
R(O) endomorphism ring of the vector space RO
(so R ∼= M(8× 8, R)).
J = {ρu : x 7→ xu | u ∈ O} (right multiplications)
J is a Jordan system in R and also Jordan closed in R, because in O thefollowing identities are valid:
• (xu)u−1 = x (=⇒ (ρu)−1 = ρu−1)
• ((xu)v)u = x(uvu) (=⇒ ρuρvρu = ρuvu)
Generalization: The same construction works for any algebra (instead ofO) that satisfies the two identities above.
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Jordan systems and related algebraic structures
A Jordan pair is a pair (V +, V −) of vector spaces over K with two trilinearmaps T± : V ± × V ∓ × V ±→ V ± satisfying
• T±(x, a, z) = T±(z, a, x)
• T±(x, a, T±(y, b, z))− T±(y, b, T±(x, a, z))= T±(T±(x, a, y), b, z) + T±(y, T∓(a, x, b), z)
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Jordan systems and related algebraic structures
A Jordan pair is a pair (V +, V −) of vector spaces over K with two trilinearmaps T± : V ± × V ∓ × V ±→ V ± satisfying
• T±(x, a, z) = T±(z, a, x)
• T±(x, a, T±(y, b, z))− T±(y, b, T±(x, a, z))= T±(T±(x, a, y), b, z) + T±(y, T∓(a, x, b), z)
Each Jordan algebra (A,+, ◦) gives rise to a Jordan pair as follows:V + = V − = A, T±(a, b, c) = (a ◦ b) ◦ c + (b ◦ c) ◦ a− (a ◦ c) ◦ b
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Jordan systems and related algebraic structures
A Jordan pair is a pair (V +, V −) of vector spaces over K with two trilinearmaps T± : V ± × V ∓ × V ±→ V ± satisfying
• T±(x, a, z) = T±(z, a, x)
• T±(x, a, T±(y, b, z))− T±(y, b, T±(x, a, z))= T±(T±(x, a, y), b, z) + T±(y, T∓(a, x, b), z)
Each Jordan algebra (A,+, ◦) gives rise to a Jordan pair as follows:V + = V − = A, T±(a, b, c) = (a ◦ b) ◦ c + (b ◦ c) ◦ a− (a ◦ c) ◦ b
Example: V + = M(n×m, K), V − = M(m× n, K),T±(A, B,C) = ABC + CBA.
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Jordan systems and related algebraic structures
A Jordan pair is a pair (V +, V −) of vector spaces over K with two trilinearmaps T± : V ± × V ∓ × V ±→ V ± satisfying
• T±(x, a, z) = T±(z, a, x)
• T±(x, a, T±(y, b, z))− T±(y, b, T±(x, a, z))= T±(T±(x, a, y), b, z) + T±(y, T∓(a, x, b), z)
Each Jordan algebra (A,+, ◦) gives rise to a Jordan pair as follows:V + = V − = A, T±(a, b, c) = (a ◦ b) ◦ c + (b ◦ c) ◦ a− (a ◦ c) ◦ b
Example: V + = M(n×m, K), V − = M(m× n, K),T±(A, B,C) = ABC + CBA.
W. Bertram (2002) associated generalized projective geometries toJordan pairs.
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Jordan systems and related algebraic structures
Let J1, J2 be strong Jordan systems in K-algebras R1, R2.
A pair (α, β) of K-semilinear mappings J1 → J2 is called an homotopism,if
• 1α ∈ J∗2 = J2 ∩R∗
2,
• ∀a, b ∈ J1 : (aba)α = aαbβaα.
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Jordan systems and related algebraic structures
Let J1, J2 be strong Jordan systems in K-algebras R1, R2.
A pair (α, β) of K-semilinear mappings J1 → J2 is called an homotopism,if
• 1α ∈ J∗2 = J2 ∩R∗
2,
• ∀a, b ∈ J1 : (aba)α = aαbβaα.
If 1α = 1, then α = β: xα = (1x1)α = 1αxβ1α = xβ.Such an α is called a Jordan homomorphism.
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Jordan systems and related algebraic structures
Let J1, J2 be strong Jordan systems in K-algebras R1, R2.
A pair (α, β) of K-semilinear mappings J1 → J2 is called an homotopism,if
• 1α ∈ J∗2 = J2 ∩R∗
2,
• ∀a, b ∈ J1 : (aba)α = aαbβaα.
If 1α = 1, then α = β: xα = (1x1)α = 1αxβ1α = xβ.Such an α is called a Jordan homomorphism.
If R1 = R2, then for u ∈ J∗1 the pair (α, β) with α : x 7→ ux, β : x 7→ xu−1
is an isotopism J1 → J2, where J2 = uJ1(= J1u−1). We call it principal
isotopism.
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Jordan systems and related algebraic structures
In particular, if J is a strong Jordan system in R and u ∈ J∗, then alsoJ ′ = uJ is a strong Jordan system in R (isotopic to J).
Example:
J ′ =
{(
a b−b c
)
| a, b, c ∈ K
}
is isotopic to the Jordan system of
symmetric matrices via X 7→
(
−1 00 1
)
X
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Jordan systems and related algebraic structures
Examples of Jordan endomorphisms:
1) J = Jordan system of symmetric matrices, α : X 7→ Xt
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Jordan systems and related algebraic structures
Examples of Jordan endomorphisms:
1) J = Jordan system of symmetric matrices, α : X 7→ Xt
2) J a ring (i.e. closed w.r.t. multiplication): each ring endomorphism oranti-endomorphism is a Jordan endomorphism
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Jordan systems and related algebraic structures
Examples of Jordan endomorphisms:
1) J = Jordan system of symmetric matrices, α : X 7→ Xt
2) J a ring (i.e. closed w.r.t. multiplication): each ring endomorphism oranti-endomorphism is a Jordan endomorphism
3) J = R1 × R2 direct product of rings, α1 endomorphism of R1, α2
anti-endomorphism of R2. Then α : J → J : (x1, x2) 7→ (xα11 , xα2
2 ) is a(proper) Jordan homomorphism.
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Jordan systems and related algebraic structures
Examples of Jordan endomorphisms:
1) J = Jordan system of symmetric matrices, α : X 7→ Xt
2) J a ring (i.e. closed w.r.t. multiplication): each ring endomorphism oranti-endomorphism is a Jordan endomorphism
3) J = R1 × R2 direct product of rings, α1 endomorphism of R1, α2
anti-endomorphism of R2. Then α : J → J : (x1, x2) 7→ (xα11 , xα2
2 ) is a(proper) Jordan homomorphism.
4) J = {ρu : x 7→ xu | u ∈ O} (right multiplications in the octonions),ρc ∈ J∗ fixed (i.e. c ∈ O∗). Then α : ρu 7→ (ρc)
−1ρuρc (= ρu−1cu), is aJordan homomorphism, due to Moufang’s identities.
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Outline of the talk
• Introduction: Jordan systems, chain geometries, and their connections(an overview)
• Jordan systems and related algebraic structures
• Chain geometries and their subspaces
•
•
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Chain geometries and their subspaces
The chain geometry over a K-algbra R:
Σ(K, R) = (P(R), C(K,R)), where
P(R) = {R(1, 0)M |M ∈ GL(2, R)} projective line over R
= {R(a, b) | (a, b) ∈ R2 first row of an invertible matrix}
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Chain geometries and their subspaces
The chain geometry over a K-algbra R:
Σ(K, R) = (P(R), C(K,R)), where
P(R) = {R(1, 0)M |M ∈ GL(2, R)} projective line over R
= {R(a, b) | (a, b) ∈ R2 first row of an invertible matrix}
C(K,R) = {C0M |M ∈ GL(2, R)}, where
C0 = {R(1, 0)N | N ∈ GL(2, K)} = {R(k, 1) | k ∈ K} ∪ {R(1, 0)},
so the chains are the K-sublines of P(R).
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Chain geometries and their subspaces
In other words:
The point set P(R) arises from the standard point p0 = R(1, 0) by takingall its images under the action of GL(2, R):
R(x, y) 7→ R(x, y)
(
a bc d
)
= R(xa + yc, xb + yd)
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Chain geometries and their subspaces
In other words:
The point set P(R) arises from the standard point p0 = R(1, 0) by takingall its images under the action of GL(2, R):
R(x, y) 7→ R(x, y)
(
a bc d
)
= R(xa + yc, xb + yd)
The chain set arises in the same way from the standard chain
C0 = {R(k, 1) | k ∈ K} ∪ {R(1, 0)}
(which can be considered as the projective line over K).
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Chain geometries and their subspaces
Σ(K, R) satisfies the axioms of a chain space Σ = (P, C):
(CS1) Every chain contains at least three points, every point lies on at leastone chain.
(CS2) Any three pairwise distant points lie together in exactly one chain.
Here two points are called distant, if they are different and joined by atleast one chain.
(CS3) For every point p the residual space Σp = (D(p), C(p)), withD(p) = {q ∈ P | q distant to p}, C(p) = {C \ {p} | p ∈ C ∈ C}, is a partialaffine space, i.e. an affine space with some parallel classes of lines missing.
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Chain geometries and their subspaces
Quadric chain spaces:
Let Q be a quadric in PG(n, K) satisfying the following conditions:
• Q possesses a secant
• Q is not contained in the union of two hyperplanes
Then Σ(Q) = (P(Q), C(Q)) defined below is a chain space:
P(Q) = {p ∈ Q | p not a double point}, where a point p is a double pointif the tangent space at p is the whole projective space,
C(Q) = {Q∩E | E admissible plane}, where a plane E is called admissible,if Q ∩ E contains at least three points but no line (so the chains are ovalconics).
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Chain geometries and their subspaces
Examples of quadric chain spaces:
1) Q a quadratic cone in PG(3, R): Then Σ(Q) is the real Laguerre plane,isomorphic to Σ(R, D), where D is the ring of dual numbers over R, i.e.D = R + Rε with ε2 = 0.
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Chain geometries and their subspaces
Examples of quadric chain spaces:
1) Q a quadratic cone in PG(3, R): Then Σ(Q) is the real Laguerre plane,isomorphic to Σ(R, D), where D is the ring of dual numbers over R, i.e.D = R + Rε with ε2 = 0.
2) Q a hyperbolic quadric in PG(3, R): Then Σ(Q) is the real Minkowskiplane, isomorphic to Σ(R, A), where A is the ring of double numbers overR, i.e. A = R× R (direct product).
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Chain geometries and their subspaces
Examples of quadric chain spaces:
3) Q the Klein quadric in PG(5,K). Then the Klein correspondence yieldsthat Σ(Q) is isomorphic to the geometry Σ′ = (P′, C′), where
P′ = {all lines in PG(3, K)}, C′ = {all reguli in PG(3,K)}.
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Chain geometries and their subspaces
Examples of quadric chain spaces:
3) Q the Klein quadric in PG(5,K). Then the Klein correspondence yieldsthat Σ(Q) is isomorphic to the geometry Σ′ = (P′, C′), where
P′ = {all lines in PG(3, K)}, C′ = {all reguli in PG(3,K)}.
Moreover, Σ(Q) is isomorphic to the chain geometry Σ(K, R), whereR = M(2× 2,K). The mapping
R(A, B) 7→ row space (A B)
is an isomorphism Σ(K, R)→ Σ′.(Note that R(A, B) ∈ P(R)⇔ rk(A B) = 2.)
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Chain geometries and their subspaces
Let Σ = (P, C) be a chain space.
A subset S ⊆ P is called a subspace of Σ, if (S, C(S)) is a chain space,where C(S) = {all chains contained in S}.
Equivalently, S satisfies the following conditions:
• If p, q, r ∈ S are pairwise distant, then the (unique) chain through p, q, ris contained in S.
• If p, q ∈ S are distant and C ∈ C contains q, then the unique chain C ′
through p contacting C in q is contained in S.
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Chain geometries and their subspaces
Examples: Subspaces of Σ(Q), where Q is the Klein quadric:
Let U be 3-dimensional projective subspace of PG(5,K). Then Q′ = Q∩Ugives rise to a subspace of Σ(Q).
There are three types: The line U⊥ is either a tangent, a secant, or anexternal line.
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Chain geometries and their subspaces
Type 1: U⊥ tangent: Then Q′ is a cone and Σ(Q′) is a Laguerre plane.
The associated algebra K(ε) of dual numbers over K can be found as asubalgebra in R = M(2× 2, K) via
a + bε 7−→
(
a b0 a
)
The corresponding line model in PG(3, K) is a parabolic linear congruence.
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Chain geometries and their subspaces
Type 2: U⊥ secant: Then Q′ is a hyperbolic quadric and Σ(Q′) is aMinkowski plane.
The associated algebra K ×K of double numbers over K can be found asa subalgebra in R = M(2× 2, K) via
(a, b) 7−→
(
a 00 b
)
The corresponding line model in PG(3,K) is a hyperbolic linear congruence.
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Chain geometries and their subspaces
Type 3: U⊥ external: Then Q′ is an elliptic quadric and Σ(Q′) is a Mobiusplane.
The associated algebra L is a quadratic field extension over K. It canbe found as a subalgebra in R = M(2 × 2, K). E.g., if L = K(t) witht2 = s ∈ K then let
a + bt 7−→
(
a bsb a
)
The corresponding line model in PG(3, K) is an elliptic linear congruence.
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Chain geometries and their subspaces
Examples: Subspaces of Σ(Q), where Q is the Klein quadric:
Let U be 4-dimensional projective subspace (a hyperplane) of PG(5, K).Then Q′ = Q ∩ U gives rise to a subspace of Σ(Q).
There are two types: U is tangent or not.
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Chain geometries and their subspaces
Type 1: U tangent hyperplane: Then Q′ is a cone over some quadric in a3-space.
The associated subalgebra of M(2×2, K) is the algebra T of upper triangularmatrices (also called algebra of ternions).
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Chain geometries and their subspaces
Type 1: U tangent hyperplane: Then Q′ is a cone over some quadric in a3-space.
The associated subalgebra of M(2×2, K) is the algebra T of upper triangularmatrices (also called algebra of ternions).
Instead, one may also use the algebra of lower triangular matrices, which isconjugate to T via
(
a b0 c
)
=
(
0 11 0
) (
c 0b a
)(
0 11 0
)
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Chain geometries and their subspaces
Type 1: U tangent hyperplane: Then Q′ is a cone over some quadric in a3-space.
The associated subalgebra of M(2×2, K) is the algebra T of upper triangularmatrices (also called algebra of ternions).
Instead, one may also use the algebra of lower triangular matrices, which isconjugate to T via
(
a b0 c
)
=
(
0 11 0
) (
c 0b a
)(
0 11 0
)
The corresponding line model in PG(3,K) is a special linear complex, i.e.the set of all lines meeting a fixed given line.
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Chain geometries and their subspaces
Remark: If S and T are isomorphic subalgebras of R = M(2× 2, K), then(by the Skolem-Noether theorem) they are conjugate in R.
This means that not only the associated subspaces of Σ(K, R) areisomorphic, but the line models in PG(3, K) are projectively equivalent.
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Chain geometries and their subspaces
Type 2: U non-tangent hyperplane: Then Q′ is the Lie quadric.
There is no associated subalgebra of M(2× 2, K).
So Σ(Q′) cannot be described as some Σ(K, S).
The corresponding line model in PG(3,K) is a general linear complex, i.e.the set of all isotropic lines w.r.t. a symplectic polarity.
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Chain geometries and their subspaces
Type 2: U non-tangent hyperplane: Then Q′ is the Lie quadric.
There is no associated subalgebra of M(2× 2, K).
So Σ(Q′) cannot be described as some Σ(K, S).
The corresponding line model in PG(3,K) is a general linear complex, i.e.the set of all isotropic lines w.r.t. a symplectic polarity.
Remark: The points and lines on the Lie quadric form an orthogonalgeneralized quadrangle, and the Klein correspondence gives an isomorphismonto the dual of a symplectic quadrangle.
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Chain geometries and their subspaces
Subspaces defined by Jordan systems
Let J be a strong Jordan system in the K-algebra R. Then
P(J) = {R(1 + ab, a) | a, b ∈ J}
is a subspace of Σ(K, R).
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Chain geometries and their subspaces
Subspaces defined by Jordan systems
Let J be a strong Jordan system in the K-algebra R. Then
P(J) = {R(1 + ab, a) | a, b ∈ J}
is a subspace of Σ(K, R).
Question: Is the condition “strong” needed?
If J is strong, then
P(J) = {R(1 + ab, a) | a ∈ J, b ∈ J∗} = {R(a, 1 + ab) | a, b ∈ J}
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Chain geometries and their subspaces
Conversely:
Theorem. (Herzer 1992). Let S be a strong subspace of Σ(K, R). Thenthere are a strong Jordan system J in R and a matrix M ∈ GL(2, R) suchthat
S = P(J)M = {R(1 + ab, a)M | a, b ∈ J}.
Remark: If the algebra R is strong, then each subspace of Σ(K, R) isstrong.
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Chain geometries and their subspaces
Example: Let J be the Jordan system of all symmetric matrices inR = M(2× 2,K), with |K| ≥ 5. .
Then P(J) is isomorphic the subspace of Σ(Q) given by the Lie quadric.
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Chain geometries and their subspaces
Example: Let J be the Jordan system of all symmetric matrices inR = M(2× 2,K), with |K| ≥ 5.
Then P(J) is isomorphic the subspace of Σ(Q) given by the Lie quadric.
Remark: J is strong if |K| ≥ 5: For A ∈ J , k ∈ K we have
k + A = kI + A /∈ J∗⇐⇒ det(kI + A) = 0,
and this quadratic equation in k has most two solutions.
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Outline of the talk
• Introduction: Jordan systems, chain geometries, and their connections(an overview)
• Jordan systems and related algebraic structures
• Chain geometries and their subspaces
•
•
Andrea Blunck: Jordan Systems and Associated Geometric Structures ZiF, August 2009 68
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Outline of the talk
• Introduction: Jordan systems, chain geometries, and their connections(an overview)
• Jordan systems and related algebraic structures
• Chain geometries and their subspaces
• Quadric chain spaces
•
Andrea Blunck: Jordan Systems and Associated Geometric Structures ZiF, August 2009 69
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Quadric chain spaces
Let Σ(Q) = (P(Q), C(Q)) be a quadric chain space as above. Theconditions on the quadric Q imply that it can be described as follows:
The underlying vector space is V ×K ×K, and
Q = {K(v, x, y) | (v, x, y) 6= (0, 0, 0), Q(v) = xy},
where Q is a quadratic form on V for which there exists a w ∈ V withQ(w) = 1.
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Quadric chain spaces
Let Σ(Q) = (P(Q), C(Q)) be a quadric chain space as above. Theconditions on the quadric Q imply that it can be described as follows:
The underlying vector space is V ×K ×K, and
Q = {K(v, x, y) | (v, x, y) 6= (0, 0, 0), Q(v) = xy},
where Q is a quadratic form on V for which there exists a w ∈ V withQ(w) = 1.
Example: For V = K4, Q(v1, v2, v3, v4) = v1v2 − v3v4, we get the Kleinquadric.
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Quadric chain spaces
Theorem. (A.B. 1997). Let |K| ≥ 5. Then the chain space Σ(Q) isisomorphic to the subspace P(J) of the chain geometry Σ(K, R), where Ris the Clifford algebra Cl(V,Q) and J is the Jordan system J = V w in R.
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Quadric chain spaces
The Clifford algebra R = Cl(V, Q) is obtained as follows: If b1, b2, . . . , bn
is a basis of V , then
1, b1, b2, . . . , bn, b1b2, b1b3, . . . , b1bn, . . . , . . . , b1b2 · · · bn
is a basis of R (so R has dimension 2n), and the multiplication is determinedby the rules
∀v, u ∈ V : v2 = Q(v), uv + vu = Q(u + v)−Q(u)−Q(v).
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Quadric chain spaces
The Clifford algebra R = Cl(V, Q) is obtained as follows: If b1, b2, . . . , bn
is a basis of V , then
1, b1, b2, . . . , bn, b1b2, b1b3, . . . , b1bn, . . . , . . . , b1b2 · · · bn
is a basis of R (so R has dimension 2n), and the multiplication is determinedby the rules
∀v, u ∈ V : v2 = Q(v), uv + vu = Q(u + v)−Q(u)−Q(v).
In particular, V is a subspace of the vector space R, but V is not closedw.r.t. multiplication, and 1 /∈ V . Moreover, v ∈ V is invertible⇔ Q(v) 6= 0,because then v · 1
Q(v)v = 1Q(v)v
2 = 1.
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Quadric chain spaces
J = V w (with Q(w) = 1) is a Jordan system in R = Cl(V,Q):
• 1 = Q(w) = ww ∈ J
• a = vw ∈ J∗ =⇒
a−1 = w−1v−1 = wQ(v)−1v = Q(v)−1wv =
= Q(v)−1(Q(v + w)−Q(w)−Q(v)− vw) =
= Q(v)−1(
(Q(v + w)−Q(w)−Q(v)) · 1− vw)
∈ J .
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Quadric chain spaces
Example: The Lie quadric can be described by v1v2 + v23 − xy = 0.
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Quadric chain spaces
Example: The Lie quadric can be described by v1v2 + v23 − xy = 0.
The Clifford algebra Cl(V, Q) is R = K1 + V + . . ., where we take
V =
{(
v3 v1
v2 −v3
)
| vi ∈ K
}
, Q(v) = −det v.
Then v · v = Q(v) · 1.
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Quadric chain spaces
Example: The Lie quadric can be described by v1v2 + v23 − xy = 0.
The Clifford algebra Cl(V, Q) is R = K1 + V + . . ., where we take
V =
{(
v3 v1
v2 −v3
)
| vi ∈ K
}
, Q(v) = −det v.
Then v · v = Q(v) · 1. For w =
(
0 11 0
)
∈ V we have Q(w) = 1 and
J = V w =
{(
v1 v3
−v3 v2
)
| vi ∈ K
}
,
which is isotopic to the Jordan system of symmetric matrices.
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Outline of the talk
• Introduction: Jordan systems, chain geometries, and their connections(an overview)
• Jordan systems and related algebraic structures
• Chain geometries and their subspaces
• Quadric chain spaces
•
Andrea Blunck: Jordan Systems and Associated Geometric Structures ZiF, August 2009 79
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Outline of the talk
• Introduction: Jordan systems, chain geometries, and their connections(an overview)
• Jordan systems and related algebraic structures
• Chain geometries and their subspaces
• Quadric chain spaces
•
Thank you for your attention !
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