Ergodic Theorem in Grand Variable Exponent Lebesgue Spaces
Mathematical Sciences and Applications E-Notes, 2020 We consider several fundamental properties of grand variable exponent Lebesgue spaces. Moreover, we discuss Ergodic theorems in these spaces whenever the exponent is invariant under the transformation...........................................................................................................................................................
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Joint Detection and Communication over Type-Sensitive Networks. [PDF]
Entropy (Basel), 2023 Shaska J, Mitra U.
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Du Bois-Reymond Type Lemma and Its Application to Dirichlet Problem with the p(t)-Laplacian on a Bounded Time Scale. [PDF]
Entropy (Basel), 2021 Mawhin J +2 more
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Zhejiang Daxue xuebao. Lixue banWith the help of the boundedness of the n-dimensional fractional Hardy operator and its adjoint operator on Lebesgue space with variable exponent, by applying hierarchical decomposition of function and real variable techniques, we obtain the boundedness ...
辛银萍(XIN Yinping)
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Fréchet Envelopes of Nonlocally Convex Variable Exponent Hörmander Spaces
Abstract and Applied Analysis, 2016 We show that the dual Bp·locΩ′ of the variable exponent Hörmander space Bp(·)loc(Ω) is isomorphic to the Hörmander space B∞c(Ω) (when the exponent p(·) satisfies the conditions ...
Joaquín Motos +2 more
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Phase transitions in porous media. [PDF]
Nonlinear Differ Equ Appl, 2022 Gavioli C, Krejčí P.
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Nonlinear Fredholm equations in modular function spaces
Electronic Journal of Differential Equations, 2019 We investigate the existence of solutions in modular function spaces of the Fredholm integral equation $$ \Phi(\theta) = g(\theta) + \int^1_0 f(\theta,\sigma, \Phi(\sigma)) \,d\sigma, $$ where $\Phi(\theta), g(\theta)\in L_{\rho}, \theta\in [0,1 ...
Mostafa Bachar
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Convolutions and best approximations in variable exponent lebesgue spaces
, 2016 In the variable exponent Lebesgue spaces a convolution is defined and its estimations in the variable exponent Lebesgue spaces by the best approximation numbers are obtained.
Israfilov, Daniyal M., Yırtıcı, Elife
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Almost Surely Exponential Convergence Analysis of Time Delayed Uncertain Cellular Neural Networks Driven by Liu Process via Lyapunov-Krasovskii Functional Approach. [PDF]
Entropy (Basel), 2023 Wang C, Jia Z, Zhang Y, Zhao X.
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A SIEVE STOCHASTIC GRADIENT DESCENT ESTIMATOR FOR ONLINE NONPARAMETRIC REGRESSION IN SOBOLEV ELLIPSOIDS. [PDF]
Ann Stat, 2022 Zhang T, Simon N.
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