scholarly journals A Generalization of the Convex Kakeya Problem

Author(s):  
Hee-Kap Ahn ◽  
Sang Won Bae ◽  
Otfried Cheong ◽  
Joachim Gudmundsson ◽  
Takeshi Tokuyama ◽  
...  
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2018 ◽  
pp. 275-280
Author(s):  
Martin Aigner ◽  
Günter M. Ziegler
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2010 ◽  
Vol 225 (5) ◽  
pp. 2828-2839 ◽  
Author(s):  
Larry Guth ◽  
Nets Hawk Katz

1963 ◽  
Vol 70 (7) ◽  
pp. 706
Author(s):  
A. A. Blank
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Author(s):  
Roy O. Davies

Besicovitch's construction(1) of a set of measure zerot containing an infinite straight line in every direction was subsequently adapted (2, 3, 4) to provide the following answer to Kakeya's problem (5): a unit segment can be continuously turned round, so as to return to its original position with the ends reversed, inside an arbitrarily small area. The last word on Kakeya's problem itself seems to be F. Cunningham Jr.'s remarkable result(6)‡ that this can be done inside a simply connected subset of arbitrarily small measure of a unit circle.


Author(s):  
Sergio Cabello ◽  
Otfried Cheong ◽  
Michael Gene Dobbins
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2017 ◽  
Vol 2019 (14) ◽  
pp. 4419-4430 ◽  
Author(s):  
Jonathan M Fraser ◽  
Kota Saito ◽  
Han Yu

AbstractWe provide estimates for the dimensions of sets in $\mathbb{R}$ which uniformly avoid finite arithmetic progressions (APs). More precisely, we say $F$ uniformly avoids APs of length $k \geq 3$ if there is an $\epsilon>0$ such that one cannot find an AP of length $k$ and gap length $\Delta>0$ inside the $\epsilon \Delta$ neighbourhood of $F$. Our main result is an explicit upper bound for the Assouad (and thus Hausdorff) dimension of such sets in terms of $k$ and $\epsilon$. In the other direction, we provide examples of sets which uniformly avoid APs of a given length but still have relatively large Hausdorff dimension. We also consider higher dimensional analogues of these problems, where APs are replaced with arithmetic patches lying in a hyperplane. As a consequence, we obtain a discretized version of a “reverse Kakeya problem:” we show that if the dimension of a set in $\mathbb{R}^d$ is sufficiently large, then it closely approximates APs in every direction.


2007 ◽  
Vol 124 (1) ◽  
pp. 248-257 ◽  
Author(s):  
X.W.C. Faber

Algorithmica ◽  
2013 ◽  
Vol 70 (2) ◽  
pp. 152-170 ◽  
Author(s):  
Hee-Kap Ahn ◽  
Sang Won Bae ◽  
Otfried Cheong ◽  
Joachim Gudmundsson ◽  
Takeshi Tokuyama ◽  
...  
Keyword(s):  

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