Results 151 to 160 of about 23,064 (196)

Dynamic light scattering and laser speckle contrast imaging of the brain: theory of the spatial and temporal statistics of speckle pattern evolution. [PDF]

Biomed Opt Express
Liu B, Postnov D, Boas DA, Cheng X.
europepmc   +1 more source

Quantum thermalization must occur in translation-invariant systems at high temperature. [PDF]

Nat Commun
Pilatowsky-Cameo S, Choi S.
europepmc   +1 more source

Robustness in biomolecular simulations: Addressing challenges in data generation, analysis, and curation. [PDF]

Cell Rep Phys Sci
Brown AM, Lemkul JA.
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Brain-based predictive modeling of mind-wandering and involuntary thought: the idiographic approach. [PDF]

Technol Mind Behav
Shareef-Trudeau L, Lydon-Staley D, Medaglia J, Kucyi A.   +3 more
europepmc   +1 more source

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Ergodic averaging sequences

Journal d'Analyse Mathématique, 2005
This paper considers ergodic averages \(\frac 1t\sum_{n\leq t}f\circ T^{a_n}\), where \(a_n\) is \(a(n)\) or \(\lfloor a(n)\rfloor\) for a real-valued function \(a(x)\). It first defines a sequence \((a(n))\) to be universally good for norm convergence of \(L^p\) functions (i.e., norm good) if for each probability measure-preserving system \((\Omega ...
Boshernitzan, Michael, Kolesnik, Grigori, Quas, Anthony, Wierdl, Máté   +3 more
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On the Ergodic Averages and the Ergodic Hilbert Transform

Canadian Journal of Mathematics, 1995
AbstractLet T be an invertible measure-preserving transformation on a σ-finite measure space (X, μ) and let 1 < p < ∞. This paper uses an abstract method developed by José Luis Rubio de Francia which allows us to give a unified approach to the problems of characterizing the positive measurable functions v such that the limit of the ergodic ...
Fernández-Cabrera, L. M., Martín-Reyes, F. J., Torrea, J. L.   +2 more
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Ergodic Averages Via Dominating Processes*

2007
Abstract We show how the mean of a monotone function (defined on a state space equipped with a partial ordering) can be estimated, using ergodic averages calculated from upper and lower dominating processes of a stationary irreducible Markov chain. In particular, we do not need to simulate the stationary Markov chain and we eliminate the
Møller, Jesper, Mengersen, Kerrie
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Ergodic Theory and Averaging Iterations

Canadian Journal of Mathematics, 1973
Suppose X is a Banach space and T a continuous linear operator on X. The significance of the asymptotic convergence of T for the approximate solution of the equation (I - T)x = f by means of the Picard iterations was clearly shown in Browder's and Petryshyn's paper [1], The results of [1] have stimulated further investigation of the Picard, and more ...
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