Almost everywhere convergence of convolution products
Let $(X,\mathcal{B},m,τ)$ be a dynamical system with $\ds (X,\mathcal{B},m)$ a probability space and $\ds τ$ an invertible, measure preserving transformation. The present paper deals with the almost everywhere convergence in $\ds{L}^1(X)$ of a sequence of operators of weighted averages.
Reinhold, Karin +2 more
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Almost Everywhere Convergence of Ergodic Averages
Editors Note. This paper was originally given as the Gibson Lecture at the 32nd Summer Symposium in Real Analysis held at Chicago State University, June 10-14, 2008. It is being published here as a survey at the request of the Editor and with the permission of the author.
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Asymptotic Regularity of a Generalised Stochastic Halpern Scheme. [PDF]
Pischke N, Powell T.
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Random Neural Networks for Rough Volatility. [PDF]
Jacquier A, Žurič Ž.
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Age-structured mechanical models for tumor growth. [PDF]
Levy D, Lim H, Mellet A, Wildes M.
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On De Giorgi's conjecture of nonlocal approximations for free-discontinuity problems: The symmetric gradient case. [PDF]
Almi S, Davoli E, Kubin A, Tasso E.
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Stability and Inference of the Euler Characteristic Transform. [PDF]
Marsh L, Beers D.
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A Sharp Quantitative Alexandrov Inequality and Applications to Volume Preserving Geometric Flows in 3D. [PDF]
Julin V, Morini M, Oronzio F, Spadaro E.
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A Q-Learning-Enhanced Cuckoo Catfish Optimizer (CCO-RL): A Comparative Study of Nine Metaheuristics Applied to CEC2017, CEC2022 and Engineering Design Problems. [PDF]
Tawil AA +3 more
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Existence of variational solutions to doubly nonlinear systems in nondecreasing domains. [PDF]
Schätzler L +3 more
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