2010
DOI: 10.4310/mrl.2010.v17.n5.a12
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An estimate from below for the Buffon needle probability of the four-corner Cantor set

Abstract: Let Cn be the n-th generation in the construction of the middlehalf Cantor set. The Cartesian square Kn = Cn × Cn consists of 4 n squares of side-length 4 −n . The chance that a long needle thrown at random in the unit square will meet Kn is essentially the average length of the projections of Kn, also known as the Favard length of Kn. A classical theorem of Besicovitch implies that the Favard length of Kn tends to zero. It is still an open problem to determine its exact rate of decay. Until recently, the only… Show more

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Cited by 25 publications
(58 citation statements)
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References 13 publications
(17 reference statements)
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“…These almost-disjoint projected intervals induce a 4-adic structure on the interval. Since 0 is a direction with a large projection, the idea is that as θ gets exponentially farther from 1/n ≈ 0, the average projections of K n should shrink-but [3] shows that this happens no more quickly than the same exponential rate.…”
Section: Needle Probability Estimate Of [3] Revisitedmentioning
confidence: 96%
See 3 more Smart Citations
“…These almost-disjoint projected intervals induce a 4-adic structure on the interval. Since 0 is a direction with a large projection, the idea is that as θ gets exponentially farther from 1/n ≈ 0, the average projections of K n should shrink-but [3] shows that this happens no more quickly than the same exponential rate.…”
Section: Needle Probability Estimate Of [3] Revisitedmentioning
confidence: 96%
“…We will describe the distortion and show that for r large enough, K n is sufficiently coarse for the argument of [3] to yield the same lower bound.…”
Section: Geometric Settingmentioning
confidence: 96%
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“…This property also turns out to be crucial for the proof of the lower bound in [1]. We expect this to be the "worst" case in the sense that if all projections of a 1-dimensional Cantor set E ∞ have 1-dimensional measure 0, then Mattila's lower bound should be sharp, i.e.…”
Section: Introductionmentioning
confidence: 99%