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New Cases of Integrable Ninth-Order Conservative and Dissipative Dynamical Systems 可积分九阶保守和耗散动力系统的新案例
IF 0.6 4区 数学 Q3 MATHEMATICS Pub Date : 2024-09-13 DOI: 10.1134/s1064562424601434
M. V. Shamolin

Abstract

New cases of integrable ninth-order dynamical systems that are homogeneous in terms of some of their variables are presented, in which a system on the tangent bundle of a four-dimensional manifold can be distinguished. In this case, the force field is divided into an internal (conservative) and an external one, which has dissipation of different signs. The external field is introduced using some unimodular transformation, and it generalizes previously considered fields. Complete sets of both first integrals and invariant differential forms are given.

摘要 介绍了可积分九阶动力系统的新情况,这些系统的某些变量是同质的,其中可以区分四维流形切线束上的系统。在这种情况下,力场分为内部力场(保守力场)和外部力场,后者具有不同符号的耗散。外部力场是通过某种单模态变换引入的,它概括了之前考虑过的力场。给出了第一积分和不变微分形式的完整集合。
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引用次数: 0
Sufficient Condition for Polynomial Solvability of Random 3-CNF Formulas 随机 3-CNF 公式多项式可解性的充分条件
IF 0.6 4区 数学 Q3 MATHEMATICS Pub Date : 2024-09-13 DOI: 10.1134/s1064562424601148
S.  I. Uvarov

Abstract

This paper is devoted to the localisation of random 3-CNF formulas that are polynomially solvable by the resolution algorithm. It is shown that random formulas with the number of clauses proportional to the square of the number of variables, are polynomially solvable with probability close to unity when the proportionality coefficient exceeds the found threshold.

摘要 本文主要研究用解析算法对可多项式求解的随机 3-CNF 公式进行定位。研究表明,当比例系数超过所发现的阈值时,子句数与变量数的平方成正比的随机公式是多项式可解的,其概率接近于一。
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引用次数: 0
The Set of Banach Limits and Its Discrete and Continuous Subsets 巴拿赫极限集合及其离散和连续子集
IF 0.6 4区 数学 Q3 MATHEMATICS Pub Date : 2024-09-13 DOI: 10.1134/s106456242470217x
N. N. Avdeev, R. E. Zvolinskii, E. M. Semenov, A. S. Usachev

Abstract

Criteria for a Banach limit to belong to the discrete or continuous part of the set of Banach limits are presented. The diameters and radii of these parts are found.

摘要 提出了巴拿赫极限属于巴拿赫极限集合离散或连续部分的标准。求出了这些部分的直径和半径。
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引用次数: 0
Construction of an Artificial Neural Network for Solving the Incompressible Navier–Stokes Equations 构建用于求解不可压缩纳维-斯托克斯方程的人工神经网络
IF 0.6 4区 数学 Q3 MATHEMATICS Pub Date : 2024-08-29 DOI: 10.1134/s1064562424702156
V. B. Betelin, V. A. Galkin

Abstract

The tasks of analyzing and visualizing the dynamics of viscous incompressible flows of complex geometry based on traditional grid and projection methods are associated with significant requirements for computer performance necessary to achieve the set goals. To reduce the computational load in solving this class of problems, it is possible to apply algorithms for constructing artificial neural networks (ANNs) using exact solutions of the Navier–Stokes equations on a given set of spatial regions as training sets. An ANN is implemented to construct flows in regions that are complexes made up of training sets of standard axisymmetric domains (cylinders, balls, etc.). To reduce the amount of calculations in the case of 3D problems, invariant flow manifolds of lower dimensions are used. This makes it possible to identify the structure of solutions in detail. It is established that typical invariant regions of such flows are figures of rotation, in particular, ones homeomorphic to the torus, which form the structure of a topological bundle, for example, in a ball, cylinder, and general complexes composed of such figures. The structures of flows obtained by approximation based on the simplest 3D unsteady vortex flows are investigated. Classes of exact solutions of the incompressible Navier–Stokes system in bounded regions of ({{mathbb{R}}_{3}}) are distinguished based on the superposition of the above-mentioned topological bundles. Comparative numerical experiments suggest that the application of the proposed class of ANNs can significantly speed up the computations, which allows the use of low-performance computers.

摘要根据传统的网格和投影方法分析复杂几何形状的粘性不可压缩流的动力学并使其可视化的任务,对实现既定目标所需的计算机性能有很高的要求。为了减少解决这类问题的计算负荷,可以应用人工神经网络(ANN)算法,使用给定空间区域上的纳维-斯托克斯方程精确解作为训练集来构建人工神经网络。人工神经网络用于构建由标准轴对称域(圆柱、球等)训练集组成的复合区域中的流动。为了减少三维问题的计算量,使用了低维度的不变量流形。这使得详细识别解的结构成为可能。研究发现,此类流动的典型不变区域是旋转图形,特别是与环同构的图形,它们构成拓扑束的结构,例如球、圆柱体和由此类图形组成的一般复合物。研究了根据最简单的三维非稳态涡流近似得到的流动结构。根据上述拓扑束的叠加,区分了不可压缩纳维-斯托克斯系统在 ({{mathbb{R}}_{3}}) 有界区域中的精确解的类别。数值对比实验表明,应用所提出的ANN类可以显著加快计算速度,从而允许使用低性能计算机。
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引用次数: 0
Methods for Tracking an Object Moving in $${{mathbb{R}}^{3}}$$ under Conditions of Its Counteraction 在反作用条件下跟踪 $${{mathbb{R}}^{3}$ 中运动物体的方法
IF 0.6 4区 数学 Q3 MATHEMATICS Pub Date : 2024-08-29 DOI: 10.1134/s1064562424702168
V. I. Berdyshev

Abstract

We propose ways of acting an observer f when tracking an object (t) moving in ({{mathbb{R}}^{3}}) along the shortest trajectory (mathcal{T}) bypassing a collection ({ {{G}_{i}}} ) of convex sets. The object has high-speed miniobjects threatening the observer. The tracking methods depend on the geometric properties of ({{G}_{i}}) and (mathcal{T}). The observer’s task is to track the motion of the object over as long a segment of (mathcal{T}) as possible.

Abstract We propose ways of acting an observer f when tracking an object (t) moving in ({{mathbb{R}}^{3}}) along the shortest trajectory (mathcal{T}) bypassing a collection ({{G}_{i}}) of convex sets.物体有高速小物体威胁观察者。跟踪方法取决于 ({{G}_{i}}) 和 (mathcal{T}) 的几何特性。观察者的任务是在尽可能长的(mathcal{T})段上跟踪物体的运动。
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引用次数: 0
On the Existence and Estimates of Inverse Functions in the Degenerate Case 论反函数在退化情况下的存在性和估计值
IF 0.5 4区 数学 Q3 MATHEMATICS Pub Date : 2024-08-09 DOI: 10.1134/s1064562424702120
A. Arutyunov, S. Zhukovskiy
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引用次数: 0
Stability of Solutions to the Logistic Equation with Delay, Diffusion, and Nonclassical Boundary Conditions 具有延迟、扩散和非经典边界条件的逻辑方程解的稳定性
IF 0.5 4区 数学 Q3 MATHEMATICS Pub Date : 2024-08-09 DOI: 10.1134/s1064562424702132
I. Kashchenko, S. A. Kashchenko, I. N. Maslenikov
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引用次数: 0
Generalization of Jacobi’s Theorem on the Last Multiplier 雅可比定理关于末尾乘数的一般化
IF 0.5 4区 数学 Q3 MATHEMATICS Pub Date : 2024-08-09 DOI: 10.1134/s1064562424702144
E. Kugushev, T. Salnikova
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引用次数: 0
On Elementary Theory of Completion of Solvable Baumslag–Solitar Group 论可解鲍姆斯拉格-索利塔群的完形基本理论
IF 0.5 4区 数学 Q3 MATHEMATICS Pub Date : 2024-08-09 DOI: 10.1134/s1064562424601239
N. S. Romanovskiy
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引用次数: 0
Graph Condensation for Large Factor Models 大系数模型的图形凝缩
IF 0.6 4区 数学 Q3 MATHEMATICS Pub Date : 2024-07-31 DOI: 10.1134/s1064562424702090
B. N. Chetverushkin, V. A. Sudakov, Yu. P. Titov

Abstract

An original method for processing large factor models based on graph condensation using machine learning models and artificial neural networks is developed. The proposed mathematical apparatus can be used to plan and manage complex organizational and technical systems, to optimize large socioeconomic objects of national scale, and to solve problems of preserving the health of the nation (searching for compatibility of medications and optimizing health care resources).

摘要 利用机器学习模型和人工神经网络,开发了一种基于图浓缩的处理大型因素模型的独创方法。所提出的数学装置可用于规划和管理复杂的组织和技术系统,优化国家规模的大型社会经济对象,以及解决维护国民健康的问题(寻找药物的兼容性和优化医疗资源)。
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引用次数: 0
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Doklady Mathematics
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