2000
DOI: 10.4153/cmb-2000-044-4
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Kahane-Khinchin’s Inequality for Quasi-Norms

Abstract: Abstract. We extend the recent results of R. Latała and O. Guédon about equivalence of L q -norms of logconcave random variables (Kahane-Khinchin's inequality) to the quasi-convex case. We construct examples of quasi-convex bodies K n ⊂ R n which demonstrate that this equivalence fails for uniformly distributed vector on K n (recall that the uniformly distributed vector on a convex body is logconcave). Our examples also show the lack of the exponential decay of the "tail" volume (for convex bodies such decay w… Show more

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Cited by 6 publications
(5 citation statements)
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“…[24], ch. 2) one can show that M K ≤ (c/p) 1/p M for some absolute positive constant c. Moreover, using ideas of Lata la ( [15], see also [7]) it was shown in [16] that M K is equivalent to the M q,K for q ∈ (−p, ∞), where…”
Section: The Main Resultsmentioning
confidence: 99%
“…[24], ch. 2) one can show that M K ≤ (c/p) 1/p M for some absolute positive constant c. Moreover, using ideas of Lata la ( [15], see also [7]) it was shown in [16] that M K is equivalent to the M q,K for q ∈ (−p, ∞), where…”
Section: The Main Resultsmentioning
confidence: 99%
“…These bodies are related to unit balls of p − norms and were studied in relation to local theory of Banach spaces by Gordon and Lewis [11], Gordon and Kalton [10], Litvak, Milman and Tomczak-Jaegermann [17] and others (see [4], [8], [12], [16], [18]).…”
Section: Introductionmentioning
confidence: 99%
“…Remark 1.3. In [16] Litvak constructed an example of a p-convex body for which the volume distribution is very different from the convex case. Litvak's work studies the large deviations regime for p-convex distributions, while our work is focused on the central limit theorem.…”
Section: Introductionmentioning
confidence: 99%
“…Note also that a p 1 -convex body is p 2 -convex for all 0 < p 2 p 1 . There is an extensive literature on p-convex bodies as well as the closely related concept of quasi-convex bodies, see for example [A], [BBP1], [BBP2], [D], [GoK], [GoL], [GuL], [Ka], [KaT], [KaPR], [Li1], [Li2], [Li3], [LMP], [LMS], [M] and others.…”
Section: Introduction and Notationsmentioning
confidence: 99%