“…The Jung constant JC(X) of a normed linear space X is defined to be Clearly, always 1/2 ≤ JC(X) ≤ 1. Pichugov [12] computed JC(l p ) (see also Corollary 3.4 in Section 3). Amir [1] proved that if X is a dual space, then (Pichugov [12]).…”
Section: (A Z) = R(co(a) Z) R(a B) = R(co(a) B) and R(a X) = R(mentioning
Abstract. Estimation of the Jung constants of Orlicz sequence spaces equipped with either the Luxemburg norm or the Orlicz norm is given. The exact values of the Jung constants of a class of reflexive Orlicz sequence spaces are found by using new quantitative indices for N -functions.
Preliminaries. Let X be a normed linear space andBy using (2), Amir obtained the following.
“…The Jung constant JC(X) of a normed linear space X is defined to be Clearly, always 1/2 ≤ JC(X) ≤ 1. Pichugov [12] computed JC(l p ) (see also Corollary 3.4 in Section 3). Amir [1] proved that if X is a dual space, then (Pichugov [12]).…”
Section: (A Z) = R(co(a) Z) R(a B) = R(co(a) B) and R(a X) = R(mentioning
Abstract. Estimation of the Jung constants of Orlicz sequence spaces equipped with either the Luxemburg norm or the Orlicz norm is given. The exact values of the Jung constants of a class of reflexive Orlicz sequence spaces are found by using new quantitative indices for N -functions.
Preliminaries. Let X be a normed linear space andBy using (2), Amir obtained the following.
“…We recall two more estimates for the normal structure coefficient. The first of them was established in [3] but it can be also proved with help of the subdifferential technique (see [90]). It shows that all finite dimensional spaces have UNS.…”
Section: Obviously τ Cs(x) = Inf Limmentioning
confidence: 99%
“…The method used by him to obtain the second of these results is different from ours. We apply a technique due to Pichugov [90]. Theorem 63 was essentially proved in [94] (see also [91]).…”
“…It is known that every uniformly convex Banach space has uniformly normal structure (cf. Daneš [9]) and that N (H) = √ 2 for a Hilbert space H. Recently, Pichugov [26] (cf. Prus [28])…”
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