2019
DOI: 10.1007/s10231-019-00907-z
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On functions having coincident p-norms

Abstract: In a measure space (X , A, μ), we consider two measurable functions f , g : E → R, for some E ∈ A. We prove that the property of having equal p-norms when p varies in some infinite set P ⊆ [1, +∞) is equivalent to the following condition: μ({x ∈ E : | f (x)| > α}) = μ({x ∈ E : |g(x)| > α}) for all α ≥ 0.

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Cited by 5 publications
(2 citation statements)
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“…If γ is not constant, then the previous result is still true, but the distribution function will be with respect to a measure that depends on the unknown power p. This still gives a restatement of the original problem, but not a satisfactory characterization of the exponents p which give the same DN map. Recently Klun [27] and Erdélyi [20] proved that the equality of L n norms implies the equimeasurability of the functions. However, if γ is not identically one, then we only know the weighted L n norms (8), where the weight depends on the unknown power p. For this reason we need the slightly more general statement of lemma 11 with the two different weights.…”
Section: Proof Of the Main Theoremmentioning
confidence: 99%
“…If γ is not constant, then the previous result is still true, but the distribution function will be with respect to a measure that depends on the unknown power p. This still gives a restatement of the original problem, but not a satisfactory characterization of the exponents p which give the same DN map. Recently Klun [27] and Erdélyi [20] proved that the equality of L n norms implies the equimeasurability of the functions. However, if γ is not identically one, then we only know the weighted L n norms (8), where the weight depends on the unknown power p. For this reason we need the slightly more general statement of lemma 11 with the two different weights.…”
Section: Proof Of the Main Theoremmentioning
confidence: 99%
“…Recently Klun [33] and Erdélyi [24] proved that the equality of L n norms implies the equimeasurability of the functions. However, if γ is not identically one, then we only know the weighted L n norms (8), where the weight depends on the unknown power p. For this reason we need the slightly more general statement of lemma 11 with the two different weights.…”
Section: Propositionmentioning
confidence: 99%