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IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
The maximum size of a partial spread in a finitevector space
Esmeralda NastaseXavier University
Joint work with Papa Sissokho
June 12, 2017
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
DefinitionsMotivation
I V = V (n, q) the vector space of dimension n over GF(q).
I A partial t-spread of V is a collection of subspaces{W1, . . . ,Wk} ⊆ V s.t.
I dim(W1) = . . . dim(Wk) = t
I Wi ∩Wj = {0} for i 6= j .
I If W1 ∪ · · · ∪Wk contains all the vectors of V , then it is called at-spread.
I Andre (1954), Segre (1964)- A t-spread of V exists if and only ift | n.
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
DefinitionsMotivation
I V = V (n, q) the vector space of dimension n over GF(q).
I A partial t-spread of V is a collection of subspaces{W1, . . . ,Wk} ⊆ V s.t.
I dim(W1) = . . . dim(Wk) = t
I Wi ∩Wj = {0} for i 6= j .
I If W1 ∪ · · · ∪Wk contains all the vectors of V , then it is called at-spread.
I Andre (1954), Segre (1964)- A t-spread of V exists if and only ift | n.
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
DefinitionsMotivation
I V = V (n, q) the vector space of dimension n over GF(q).
I A partial t-spread of V is a collection of subspaces{W1, . . . ,Wk} ⊆ V s.t.
I dim(W1) = . . . dim(Wk) = t
I Wi ∩Wj = {0} for i 6= j .
I If W1 ∪ · · · ∪Wk contains all the vectors of V , then it is called at-spread.
I Andre (1954), Segre (1964)- A t-spread of V exists if and only ift | n.
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
DefinitionsMotivation
Question
I What is the maximum size of a partial t-spread of V ?
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
DefinitionsMotivation
Applications
I error-correcting codes
I orthogonal arrays
I (s, k , λ)-nets
I subspace codes
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
ConjectureLower BoundUpper BoundExact values
I Let µq(n, t)=maximum size of a partial t-spread of V , and let
`q(n, t) =qn − qt+r
qt − 1.
Conjecture (Hong and Patel, 1972)
Let n = kt + r , and 0 ≤ r < t. Then
µq(n, t) =qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
ConjectureLower BoundUpper BoundExact values
Theorem (Hong and Patel, 1972; Beutelspacher, 1975)
Let n = kt + r , and 0 ≤ r < t. Then
µq(n, t) ≥ qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
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ConjectureLower BoundUpper BoundExact values
Theorem (Drake and Freeman, 1979)
Let n = kt + r , and 0 ≤ r < t. Then
µq(n, t) ≤ qn − qr
qt − 1− bωc − 1 = `q(n, t) + qr − bωc − 1,
where 2ω =√
4qt(qt − qr ) + 1− (2qt − 2qr + 1).
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
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ConjectureLower BoundUpper BoundExact values
Theorem (Andre, 1954, Segre, 1964 (r = 0); Hong and Patel,1972 (r = 1, q = 2); Beutelspacher, 1975 (r = 1, q > 2))
Let n = kt + r , and r ∈ {0, 1}. Then
µq(n, t) =qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
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ConjectureLower BoundUpper BoundExact values
Theorem (El-Zanati, Jordon, Seelinger, Sissokho, and Spence,2012)
If r = 2, t = 3, and q = 2, then
µ2(n, 3) =2n − 25
7+ 2 = `2(n, 3) + 2.
Theorem (Kurz, 2016)
If t > 3 and q = r = 2, then
µ2(n, t) =2n − 2t+2
2t − 1+ 1 = `2(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
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ConjectureLower BoundUpper BoundExact values
Theorem (El-Zanati, Jordon, Seelinger, Sissokho, and Spence,2012)
If r = 2, t = 3, and q = 2, then
µ2(n, 3) =2n − 25
7+ 2 = `2(n, 3) + 2.
Theorem (Kurz, 2016)
If t > 3 and q = r = 2, then
µ2(n, t) =2n − 2t+2
2t − 1+ 1 = `2(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
Auxiliary ResultsMain ResultsFuture Work
ConjectureLower BoundUpper BoundExact values
Theorem (N., Sissokho, 2017+)
Let n = kt + r , and 0 ≤ r < t. If t >qr − 1
q − 1, then
µq(n, t) =qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
IntroductionKnown Results
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DefinitionsLemmasMain Lemma
I A subspace partition or partition P of V , is a collection ofsubspaces {W1, . . . ,Wk} s.t.
I V = W1 ∪ · · · ∪Wk
I Wi ∩Wj = {0} for i 6= j .
I Let P be any partition of V . We say P hast type [tnt , . . . , 1n1 ],if there are ni > 0 subspaces of dim i in P, and 1 < · · · < t.
E. Nastase The maximum size of a partial spread in a finite vector space
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Lemma 1 - (Heden and Lehmann, 2013)
Let P be a partition of V of type [tnt , . . . , 1n1 ] and let bH,i be thenumber of i-subspaces in P that are in a hyperplane H of V . Then
|P| = 1 +t∑
i=1
bH,iqi
E. Nastase The maximum size of a partial spread in a finite vector space
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Lemma 2 - (Heden and Lehmann, 2013)
Let P be a partition of V of type [tnt , . . . , 1n1 ] and let bH,i be thenumber of i-subspaces in P that are in a hyperplane H of V . Then
1.∑H∈H
H =qn − 1
q − 1
2.∑H∈H
bH,iH = niqn−i − 1
q − 1
E. Nastase The maximum size of a partial spread in a finite vector space
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Main Lemma - (N. and Sissokho, 2017+)
Let n = kt + r , and 0 ≤ r < t. If t >qr − 1
q − 1, then
µq(n, t) ≤ qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
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DefinitionsLemmasMain Lemma
For any integer i ≥ 1, let Θi =qi − 1
q − 1and δi =
qi − 2qi−1 + 1
q − 1.
Then
I 0 < δi < qi−1 andδiq< δi−1.
Proof Sketch:
I Assume that µq(n, t) > `q(n, t) + 1 . Then V has a partialt-spread of size `q(n, t) + 2.
I ∃ P0 of V (n, q) of type [tnt , 1n1 ],where
nt = `q(n, t) + 2 and
n1 =
(qr − 1
q − 1− 1
)qt +
qt+1 − 2qt + 1
q − 1= (Θr − 1)qt + δt+1.
E. Nastase The maximum size of a partial spread in a finite vector space
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DefinitionsLemmasMain Lemma
For any integer i ≥ 1, let Θi =qi − 1
q − 1and δi =
qi − 2qi−1 + 1
q − 1.
Then
I 0 < δi < qi−1 andδiq< δi−1.
Proof Sketch:
I Assume that µq(n, t) > `q(n, t) + 1 . Then V has a partialt-spread of size `q(n, t) + 2.
I ∃ P0 of V (n, q) of type [tnt , 1n1 ],where
nt = `q(n, t) + 2 and
n1 =
(qr − 1
q − 1− 1
)qt +
qt+1 − 2qt + 1
q − 1= (Θr − 1)qt + δt+1.
E. Nastase The maximum size of a partial spread in a finite vector space
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DefinitionsLemmasMain Lemma
For any integer i ≥ 1, let Θi =qi − 1
q − 1and δi =
qi − 2qi−1 + 1
q − 1.
Then
I 0 < δi < qi−1 andδiq< δi−1.
Proof Sketch:
I Assume that µq(n, t) > `q(n, t) + 1 . Then V has a partialt-spread of size `q(n, t) + 2.
I ∃ P0 of V (n, q) of type [tnt , 1n1 ],where
nt = `q(n, t) + 2 and
n1 =
(qr − 1
q − 1− 1
)qt +
qt+1 − 2qt + 1
q − 1= (Θr − 1)qt + δt+1.
E. Nastase The maximum size of a partial spread in a finite vector space
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We use induction on j , for 0 ≤ j ≤ Θr − 1:
I Base Case: H0 = V (n, q) and P0 = {H0}
I Inductive Step: there exists Pj of Hj∼= V (n − j , q) of type
[tmj,t , (t − 1)mj,t−1 , . . . , (t − j)mj,t−j , 1mj,1 ],
where mj ,t , . . . ,mj ,t−j , mj ,1, and cj are nonnegative integers s.t.
t∑i=t−j
mj ,i = nt = `q(n, t) + 2,
and
mj ,1 = cjqt−j + δt+1−j , and 0 ≤ cj ≤ Θr − 1− j .
E. Nastase The maximum size of a partial spread in a finite vector space
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We use induction on j , for 0 ≤ j ≤ Θr − 1:
I Base Case: H0 = V (n, q) and P0 = {H0}I Inductive Step: there exists Pj of Hj
∼= V (n − j , q) of type
[tmj,t , (t − 1)mj,t−1 , . . . , (t − j)mj,t−j , 1mj,1 ],
where mj ,t , . . . ,mj ,t−j , mj ,1, and cj are nonnegative integers s.t.
t∑i=t−j
mj ,i = nt = `q(n, t) + 2,
and
mj ,1 = cjqt−j + δt+1−j , and 0 ≤ cj ≤ Θr − 1− j .
E. Nastase The maximum size of a partial spread in a finite vector space
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I Using Lemma 2,
bavg ,1 =
∑H∈H bH,1 H∑
H∈H H<
cjqt−j + δt+1−j
q< cjq
t−j−1 + δt−j .
=⇒ ∃ a hyperplane Hj+1 of Hj with
bHj+1,1 ≤ bavg ,1 < cjqt−j−1 + δt−j ,
and applying Lemma 1,
mj+1,1 = bHj+1,1 = cj+1qt−j−1 +δt−j , and 0 ≤ cj+1 ≤ Θr−2− j .
E. Nastase The maximum size of a partial spread in a finite vector space
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I Using Lemma 2,
bavg ,1 =
∑H∈H bH,1 H∑
H∈H H<
cjqt−j + δt+1−j
q< cjq
t−j−1 + δt−j .
=⇒ ∃ a hyperplane Hj+1 of Hj with
bHj+1,1 ≤ bavg ,1 < cjqt−j−1 + δt−j ,
and applying Lemma 1,
mj+1,1 = bHj+1,1 = cj+1qt−j−1 +δt−j , and 0 ≤ cj+1 ≤ Θr−2− j .
E. Nastase The maximum size of a partial spread in a finite vector space
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I Using Lemma 2,
bavg ,1 =
∑H∈H bH,1 H∑
H∈H H<
cjqt−j + δt+1−j
q< cjq
t−j−1 + δt−j .
=⇒ ∃ a hyperplane Hj+1 of Hj with
bHj+1,1 ≤ bavg ,1 < cjqt−j−1 + δt−j ,
and applying Lemma 1,
mj+1,1 = bHj+1,1 = cj+1qt−j−1 +δt−j , and 0 ≤ cj+1 ≤ Θr−2− j .
E. Nastase The maximum size of a partial spread in a finite vector space
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I Thus, we let Pj+1 be the subspace partition of Hj+1 defined by:
Pj+1 = {W ∩ Hj+1 : W ∈ Pj}.
=⇒ Pj+1 is a subspace partition of Hj+1 of type
[tmj+1,t , (t − 1)mj+1,t−1 , . . . , (t − j − 1)mj+1,t−j−1 , 1mj+1,1 ], (1)
where mj+1,t ,mj+1,t−1, . . . ,mj+1,t−j−1 satisfy
t∑i=t−j−1
mj+1,i =t∑
i=t−jmj ,i = nt = `q(n, t) + 2, and (2)
mj+1,1 = bHj+1,1 = cj+1qt−j−1 +δt−j , and 0 ≤ cj+1 ≤ Θr−2− j .
E. Nastase The maximum size of a partial spread in a finite vector space
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I Thus, we let Pj+1 be the subspace partition of Hj+1 defined by:
Pj+1 = {W ∩ Hj+1 : W ∈ Pj}.
=⇒ Pj+1 is a subspace partition of Hj+1 of type
[tmj+1,t , (t − 1)mj+1,t−1 , . . . , (t − j − 1)mj+1,t−j−1 , 1mj+1,1 ], (1)
where mj+1,t ,mj+1,t−1, . . . ,mj+1,t−j−1 satisfy
t∑i=t−j−1
mj+1,i =t∑
i=t−jmj ,i = nt = `q(n, t) + 2, and (2)
mj+1,1 = bHj+1,1 = cj+1qt−j−1 +δt−j , and 0 ≤ cj+1 ≤ Θr−2− j .
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Final Step, j = Θr − 1:
I cΘr−1 = 0 and thus, mΘr−1,1 = δt+2−Θr in PΘr−1 of HΘr−1.
I Using the averaging argument, there exists a hyperplane H∗ ofHΘr−1 with
bH∗,1 ≤ bavg ,1 < δt+1−Θr .
I Using Lemma 1 on the partition PΘr−1 and the hyperplane H∗
of HΘr−1 we obtain that
bH∗,1 ≥ δt+1−Θr ,
which is a contradiction.
=⇒ µq(n, t) ≤ `q(n, t) + 1 .
E. Nastase The maximum size of a partial spread in a finite vector space
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Final Step, j = Θr − 1:
I cΘr−1 = 0 and thus, mΘr−1,1 = δt+2−Θr in PΘr−1 of HΘr−1.
I Using the averaging argument, there exists a hyperplane H∗ ofHΘr−1 with
bH∗,1 ≤ bavg ,1 < δt+1−Θr .
I Using Lemma 1 on the partition PΘr−1 and the hyperplane H∗
of HΘr−1 we obtain that
bH∗,1 ≥ δt+1−Θr ,
which is a contradiction.
=⇒ µq(n, t) ≤ `q(n, t) + 1 .
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Final Step, j = Θr − 1:
I cΘr−1 = 0 and thus, mΘr−1,1 = δt+2−Θr in PΘr−1 of HΘr−1.
I Using the averaging argument, there exists a hyperplane H∗ ofHΘr−1 with
bH∗,1 ≤ bavg ,1 < δt+1−Θr .
I Using Lemma 1 on the partition PΘr−1 and the hyperplane H∗
of HΘr−1 we obtain that
bH∗,1 ≥ δt+1−Θr ,
which is a contradiction.
=⇒ µq(n, t) ≤ `q(n, t) + 1 .
E. Nastase The maximum size of a partial spread in a finite vector space
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Final Step, j = Θr − 1:
I cΘr−1 = 0 and thus, mΘr−1,1 = δt+2−Θr in PΘr−1 of HΘr−1.
I Using the averaging argument, there exists a hyperplane H∗ ofHΘr−1 with
bH∗,1 ≤ bavg ,1 < δt+1−Θr .
I Using Lemma 1 on the partition PΘr−1 and the hyperplane H∗
of HΘr−1 we obtain that
bH∗,1 ≥ δt+1−Θr ,
which is a contradiction.
=⇒ µq(n, t) ≤ `q(n, t) + 1 .
E. Nastase The maximum size of a partial spread in a finite vector space
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Main ResultsApplications
Theorem (N., Sissokho, 2017+)
Let n = kt + r , and 0 ≤ r < t. If t >qr − 1
q − 1, then
µq(n, t) =qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
Proof.
I r = 0: Andre’s, Segre’s Theorem.
I r = 1: Hong and Patel’s, and Beutelspacher’s Theorem.
I r ≥ 2: LB for µq(n, t), by Hong and Patel’s and Beutelspacher’sTheorem and UB for µq(n, t), by Main Lemma, are equal.
E. Nastase The maximum size of a partial spread in a finite vector space
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Main ResultsApplications
Theorem (N., Sissokho, 2017+)
Let n = kt + r , and 0 ≤ r < t. If t >qr − 1
q − 1, then
µq(n, t) =qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
Proof.
I r = 0: Andre’s, Segre’s Theorem.
I r = 1: Hong and Patel’s, and Beutelspacher’s Theorem.
I r ≥ 2: LB for µq(n, t), by Hong and Patel’s and Beutelspacher’sTheorem and UB for µq(n, t), by Main Lemma, are equal.
E. Nastase The maximum size of a partial spread in a finite vector space
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Theorem (N., Sissokho, 2017+)
Let n = kt + r , and 0 ≤ r < t. If t >qr − 1
q − 1, then
µq(n, t) =qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
Proof.
I r = 0: Andre’s, Segre’s Theorem.
I r = 1: Hong and Patel’s, and Beutelspacher’s Theorem.
I r ≥ 2: LB for µq(n, t), by Hong and Patel’s and Beutelspacher’sTheorem and UB for µq(n, t), by Main Lemma, are equal.
E. Nastase The maximum size of a partial spread in a finite vector space
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Theorem (N., Sissokho, 2017+)
Let n = kt + r , and 0 ≤ r < t. If t >qr − 1
q − 1, then
µq(n, t) =qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
Proof.
I r = 0: Andre’s, Segre’s Theorem.
I r = 1: Hong and Patel’s, and Beutelspacher’s Theorem.
I r ≥ 2: LB for µq(n, t), by Hong and Patel’s and Beutelspacher’sTheorem and UB for µq(n, t), by Main Lemma, are equal.
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Theorem (N., Sissokho, 2017+)
Let n = kt + r , and 0 ≤ r < t. If r ≥ 2 and t = Θr , then
µq(n, t) ≤ `q(n, t) + q.
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Hypergraphs
I Let Hq(n, t) be the hypergraph whose vertices are the1-subspaces of V (n, q) and whose edges are its t-subspaces.
I Then Hq(n, t) is a (qt − 1)/(q − 1)-uniform hypergraph.
I By our Theorem, if n = kt + r , 0 ≤ r < t, and t >qr − 1
q − 1, then
the maximum size of a matching in Hq(n, t) is
qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
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Hypergraphs
I Let Hq(n, t) be the hypergraph whose vertices are the1-subspaces of V (n, q) and whose edges are its t-subspaces.
I Then Hq(n, t) is a (qt − 1)/(q − 1)-uniform hypergraph.
I By our Theorem, if n = kt + r , 0 ≤ r < t, and t >qr − 1
q − 1, then
the maximum size of a matching in Hq(n, t) is
qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
E. Nastase The maximum size of a partial spread in a finite vector space
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Hypergraphs
I Let Hq(n, t) be the hypergraph whose vertices are the1-subspaces of V (n, q) and whose edges are its t-subspaces.
I Then Hq(n, t) is a (qt − 1)/(q − 1)-uniform hypergraph.
I By our Theorem, if n = kt + r , 0 ≤ r < t, and t >qr − 1
q − 1, then
the maximum size of a matching in Hq(n, t) is
qn − qt+r
qt − 1+ 1 = `q(n, t) + 1.
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Question
I What is the maximum size of a partial t-spread of V if r ≥ 2
and t ≤ qr − 1
q − 1?
E. Nastase The maximum size of a partial spread in a finite vector space
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Thank you!
E. Nastase The maximum size of a partial spread in a finite vector space