Error estimates of finite element methods for nonlinear fractional stochastic differential equations
In this paper, we consider the Galerkin finite element approximations of the initial value problem for the nonlinear fractional stochastic partial differential equations with multiplicative noise.
Yanpeng Zhang, Xiaoyuan Yang, Xiaocui Li
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In this paper, split step theta balanced Euler approximations for stochastic time-varying delay Hopfield neural networks (HNN) with distributed delays are examined for their exponential stability and strong convergence.
Pichamuthu Mayavel +1 more
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Construction of discrete-time model for port-controlled Hamiltonian systems with applications [PDF]
The issues of constructing a discrete-time model for Hamiltonian systems are in general different from those for dissipative systems. We propose an algorithm for constructing an approximate discrete-time model, which guarantees Hamiltonian conservation ...
Astolfi, A., +4 more
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On Approximation by Discrete Semigroups
The author considers the following main mathematical objects: A sequence \((X_ n)\) of Banach spaces approximating in some sense the Banach space \(X\); a sequence of bounded linear operators \((F_ n)\), \(F_ n: X_ n\to X_ n\); a sequence of positive reals \((\rho_ n)\), \(\rho_ n\to 0\) and the sequences \((F_ n^ k)_ k\) of discrete parameter ...
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Approximation Properties for Discrete Groups [PDF]
We provide an illustration of an interesting and nontrivial interaction between analytic and geometric properties of a group. We provide a short survey of approximation properties of operator algebras associated with discrete groups. We then demonstrate directly that groups that satisfy the property RD with respect to a conditionally negative length ...
Brodzki, Jacek, Niblo, Graham A.
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Discrete-time approximations of fliess operators [PDF]
A convenient way to represent a nonlinear input-output system in control theory is via a Chen-Fliess functional expansion or Fliess operator. The general goal of this paper is to describe how to approximate Fliess operators with iterated sums and to provide accurate error estimates for two different scenarios, one where the series coefficients are ...
W. Steven Gray +2 more
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Almost sure exponential stability of the Euler–Maruyama approximations for stochastic functional differential equations [PDF]
By the continuous and discrete nonnegative semimartingale convergence theorems, this paper investigates conditions under which the Euler–Maruyama (EM) approximations of stochastic functional differential equations (SFDEs) can share the almost sure ...
Wu, Fuke +2 more
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Analysis of Mild Extremal Solutions in Nonlinear Caputo-Type Fractional Delay Difference Equations
This study investigates extremal solutions for fractional-order delayed difference equations, utilizing the Caputo nabla operator to establish mild lower and upper approximations via discrete fractional calculus. A new approach is employed to demonstrate
Ravi P. Agarwal, Ekaterina Madamlieva
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Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners. [PDF]
In the course of evolution, proteins show a remarkable conservation of their three-dimensional structure and their biological function, leading to strong evolutionary constraints on the sequence variability between homologous proteins. Our method aims at
Carlo Baldassi +6 more
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Accuracy of Approximation for Discrete Distributions [PDF]
The paper is a contribution to the problem of estimating the deviation of two discrete probability distributions in terms of the supremum distance between their generating functions over the interval [0,1]. Deviation can be measured by the difference of the kth terms or by total variation distance.
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