• Title/Summary/Keyword: probabilistic normed spaces

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NONLINEAR SEMIGROUPS AND DIFFERENTIAL INCLUSIONS IN PROBABILISTIC NORMED SPACES

  • Chang, S.S.;Ha, K.S.;Cho, Y.J.;Lee, B.S.;Chen, Y.Q.
    • East Asian mathematical journal
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    • v.14 no.1
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    • pp.77-98
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    • 1998
  • The purpose of this paper is to introduce and study the semigroups of nonlinear contractions in probabilistic normed spaces and to establish the Crandall-Liggett's exponential formula for some kind of accretive mappings in probabilistic normed spaces. As applications, we utilize these results to study the Cauchy problem for a kind of differential inclusions with accertive mappings in probabilistic normed spaces.

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ISOMETRIES IN PROBABILISTIC 2-NORMED SPACES

  • Rahbarnia, F.;Cho, Yeol Je;Saadati, R.;Sadeghi, Gh.
    • Journal of the Chungcheong Mathematical Society
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    • v.22 no.4
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    • pp.623-633
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    • 2009
  • The classical Mazur-Ulam theorem states that every surjective isometry between real normed spaces is affine. In this paper, we study 2-isometries in probabilistic 2-normed spaces.

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A General System of Nonlinear Functional Equations in Non-Archimedean Spaces

  • Ghaemi, Mohammad Bagher;Majani, Hamid;Gordji, Madjid Eshaghi
    • Kyungpook Mathematical Journal
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    • v.53 no.3
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    • pp.419-433
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    • 2013
  • In this paper, we prove the generalized Hyers-Ulam-Rassias stability for a system of functional equations, called general system of nonlinear functional equations, in non-Archimedean normed spaces and Menger probabilistic non-Archimedean normed spaces.

ACCRETIVE OPERATORS IN A PROBABILISITIC NORMED SPACES

  • Ha, Ki-Sik;Shin, Ki-Yeon;Cho, Yeol-Je
    • Bulletin of the Korean Mathematical Society
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    • v.31 no.1
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    • pp.45-54
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    • 1994
  • Throughout this paper, the definitions and properities related to probabilistic normed spaces are followed as in [2]. Let R be the set of all real numbers. A mapping F:R .rarw. [0, 1] is called a distribution function on R if it is nondecreasing and left continuous with inf F = 0 and sup F = 1. We denote by L the set of all distribution functions on R.

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