1986
DOI: 10.2307/2046239
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Cube Slicing in R n

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. This content downloaded from 128.235.251.160 on TueABSTRACT. We prove that every (n -1)-dimensional section of the unit cube in R' has volume at most I2 This upper bound is cle… Show more

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Cited by 68 publications
(153 citation statements)
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“…This upper bound was proved by Ball [1], [2] who also considered the case for a general k-dimensional subspace H. For the regular simplex, it follows from results of Ball [3] that the k-dimensional slices with largest volume are exactly the k-dimensional faces. Results of this type provide estimates for densities of sums of i.i.d, random variables so perhaps a more interesting problem for the simplex is that of the central sections, as this will involve random variables with mean zero.…”
Section: O Introductionmentioning
confidence: 86%
See 1 more Smart Citation
“…This upper bound was proved by Ball [1], [2] who also considered the case for a general k-dimensional subspace H. For the regular simplex, it follows from results of Ball [3] that the k-dimensional slices with largest volume are exactly the k-dimensional faces. Results of this type provide estimates for densities of sums of i.i.d, random variables so perhaps a more interesting problem for the simplex is that of the central sections, as this will involve random variables with mean zero.…”
Section: O Introductionmentioning
confidence: 86%
“…The proof of the theorem will divide into two parts, the first for the case lad I --< ~22 for each 1 _< j _< n + 1 and the second for the case lajl > for some 1 _< j _< n + 1. This is analogous to the proof for the cube in [1]. We use the same approach for the first part and apply an easier estimate than was required in [1], but for the second part, the easy part for the cube, we need a different method.…”
Section: O Introductionmentioning
confidence: 98%
“…In (40) replace θ 2 jr with the left side of (42) for (j, r) ∈ {(1, 4), (2,4), (3,4)} to get F (P ) = 3 θ Since the spherical propeller partition, i.e., the partition of S 2 corresponding to the intersection of the propeller partition of R 3 with S 2 , satisfies F = (9/4)π 2 , we may bound (43) in terms of M = max{θ 12 , θ 13 , θ 23 }. In particular, we get F (P ) 14M 2 , which is less than (9/4)π 2 if M < π…”
Section: Proposition 32 Suppose That the Spherical Trianglementioning
confidence: 99%
“…where to get the second inequality we used Ball's upper bound on cube sections [1]. Hence (3) holds also for t ∈ [0, 3].…”
Section: Remark 2 Both Proposition 1 and Theorem 1 Hold (With Constamentioning
confidence: 99%