kakeya problem
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Author(s):  
Sergio Cabello ◽  
Otfried Cheong ◽  
Michael Gene Dobbins
Keyword(s):  

2021 ◽  
Vol 21 (1) ◽  
pp. 75-84
Author(s):  
Sang Won Bae ◽  
Sergio Cabello ◽  
Otfried Cheong ◽  
Yoonsung Choi ◽  
Fabian Stehn ◽  
...  

Abstract We prove a generalization of Pál's conjecture from 1921: if a convex shape P can be placed in any orientation inside a convex shape Q in the plane, then P can also be turned continuously through 360° inside Q. We also prove a lower bound of Ω(m n 2) on the number of combinatorially distinct maximal placements of a convex m-gon P in a convex n-gon Q. This matches the upper bound proven by Agarwal et al.


2020 ◽  
Vol 34 (4) ◽  
pp. 2502-2509
Author(s):  
Mehdi Makhul ◽  
Audie Warren ◽  
Arne Winterhof
Keyword(s):  

2019 ◽  
Vol 09 (02) ◽  
pp. 78-110
Author(s):  
Rongchuan Tao ◽  
Yingzi Yang ◽  
Xiaoxiao Zou ◽  
Zifan Dong ◽  
Siran Chen
Keyword(s):  

2018 ◽  
pp. 275-280
Author(s):  
Martin Aigner ◽  
Günter M. Ziegler
Keyword(s):  

2018 ◽  
pp. 247-251
Author(s):  
Martin Aigner ◽  
Günter M. Ziegler
Keyword(s):  

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.


2016 ◽  
Vol 150 (2) ◽  
pp. 479-511 ◽  
Author(s):  
K. Héra ◽  
M. Laczkovich
Keyword(s):  

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