2016
DOI: 10.1007/s00454-016-9781-7
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Sylvester–Gallai for Arrangements of Subspaces

Abstract: In this work we study arrangements of k-dimensional subspaces V 1 , . . . , V n ⊂ C ℓ . Our main result shows that, if every pair V a , V b of subspaces is contained in a dependent triple (a triple V a , V b , V c contained in a 2k-dimensional space), then the entire arrangement must be contained in a subspace whose dimension depends only on k (and not on n). The theorem holds under the assumption that V a ∩ V b = {0} for every pair (otherwise it is false). This generalizes the Sylvester-Gallai theorem (or Kel… Show more

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Cited by 6 publications
(13 citation statements)
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“…The second application is a generalization of the Sylvester-Gallai theorem for arrangements of subspaces. Such a result was recently proved in [DH16] and we are able to give an asymptotically tight improvement to their results. The last application involves arrangements of lines and curves in C d that have many pairwise incidences (each line/curve intersects many others).…”
Section: Introductionsupporting
confidence: 62%
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“…The second application is a generalization of the Sylvester-Gallai theorem for arrangements of subspaces. Such a result was recently proved in [DH16] and we are able to give an asymptotically tight improvement to their results. The last application involves arrangements of lines and curves in C d that have many pairwise incidences (each line/curve intersects many others).…”
Section: Introductionsupporting
confidence: 62%
“…The original bound proven in [DH16] was a slightly worse O( 4 /δ 2 ). For δ = 1 and = 1 the bound of 3 we get is completely tight as there are three dimensional configurations of one dimensional subspaces over C with every pair spanning some third subspace (this can be obtained by taking the Hesse configuration and moving to projective space [AD09]).…”
Section: Sylvester-gallai For Subspacesmentioning
confidence: 97%
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“…Furthermore, the Prékopa-Leindler inequality can be seen as a special case of Barthe's inequality. Due in part to their utility in establishing impossibility bounds, these functional inequalities have attracted much attention in information theory [10][11][12][13][14][15][16][17], theoretical computer science [18][19][20][21][22] and statistics [23][24][25][26][27][28], to name only a small subset of the literature. Over the years, various proofs of these inequalities have been proposed [1,[29][30][31][32][33][34].…”
Section: Brascamp-lieb Inequality and Its Reverse ([5] Theorem 1)mentioning
confidence: 99%
“…The bound |R| ≥ n 2 already gives a Ω(n 2/3 ) lower bound for vertex numbers in Theorem 1.1(b). To strengthen this bound, we use extremal results in discrete geometry (specifically, the fractional Sylvester-Gallai results in [6,11,10]), to show that any 3-presentation S|R ∼ = Z n has |S| = Ω(n 3/2 ). This translates to a Ω(n 3/4 ) lower bound in Theorem 1.1(b).…”
Section: Introductionmentioning
confidence: 99%