2015
DOI: 10.48550/arxiv.1509.03644
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Fundamental function for Grand Lebesgue Spaces

E. Ostrovsky,
L. Sirota

Abstract: We investigate in this short article the fundamental function for the so-called Grand Lebesgue Spaces (GLS) and show in particular a one-to-one and mutually continuous accordance between its fundamental and generating function.

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Cited by 9 publications
(13 citation statements)
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“…in [10], [12], [13], [23], [24], [25], [26], [28], [29] - [33] etc. They are applied for example in the theory of Partial Differential Equations [12], [13], in the theory of Probability [7], [31] - [33], in Statistics [29], chapter 5, theory of random fields, [25], [26], [29], [32], in the Functional Analysis [29], [30], [32] and so one.…”
Section: Brief Note About Grand Lebesgue Spaces (Gls)mentioning
confidence: 99%
See 1 more Smart Citation
“…in [10], [12], [13], [23], [24], [25], [26], [28], [29] - [33] etc. They are applied for example in the theory of Partial Differential Equations [12], [13], in the theory of Probability [7], [31] - [33], in Statistics [29], chapter 5, theory of random fields, [25], [26], [29], [32], in the Functional Analysis [29], [30], [32] and so one.…”
Section: Brief Note About Grand Lebesgue Spaces (Gls)mentioning
confidence: 99%
“…These spaces are rearrangement invariant (r.i.) Banach functional spaces; its fundamental function is considered in [32]. They do not coincides in general case with the classical rearrangement invariant spaces: Orlicz, Lorentz, Marcinkiewicz etc., see [28], [30].…”
Section: Brief Note About Grand Lebesgue Spaces (Gls)mentioning
confidence: 99%
“…These spaces are rearrangement invariant (r.i.) Banach functional spaces; its fundamental function has been studied in [36]. They not coincides, in the general case, with the classical rearrangement invariant spaces: Orlicz, Lorentz, Marcinkiewicz, etc., see [30], [34].…”
Section: Brief Note About Grand Lebesgue Spacesmentioning
confidence: 99%
“…The Grand Lebesue spaces and several generalizations and variants of them have been widely investigated, see e.g. [21], [10], [28], [38], [8], [1], [16]. These spaces are of great interest for their applications not only in statistics, in theory of random fields, Monte-Carlo methods but also in the theory of Partial Differential Equations (PDEs) (see e.g.…”
Section: A Classical Approachmentioning
confidence: 99%