Localization of the discontinuity line of the right-hand side of a differential equation

2016 ◽  
Vol 10 (1) ◽  
pp. 97-105
Author(s):  
D. S. Konovalova
2019 ◽  
Vol 16 (07) ◽  
pp. 1850115 ◽  
Author(s):  
Nizami A. Gasilov ◽  
Müjdat Kaya

In many real life applications, the behavior of the system is modeled by a boundary value problem (BVP) for a linear differential equation. If the uncertainties in the boundary values, the right-hand side function and the coefficient functions are to be taken into account, then in many cases an interval boundary value problem (IBVP) arises. In this study, for such an IBVP, we propose a different approach than the ones in common use. In the investigated IBVP, the boundary values are intervals. In addition, we model the right-hand side and coefficient functions as bunches of real functions. Then, we seek the solution of the problem as a bunch of functions. We interpret the IBVP as a set of classical BVPs. Such a classical BVP is constructed by taking a real number from each boundary interval, and a real function from each bunch. We define the bunch consisting of the solutions of all the classical BVPs to be the solution of the IBVP. In this context, we develop a numerical method to obtain the solution. We reduce the complexity of the method from [Formula: see text] to [Formula: see text] through our analysis. We demonstrate the effectiveness of the proposed approach and the numerical method by test examples.


1993 ◽  
Vol 6 (1) ◽  
pp. 83-91
Author(s):  
B. C. Dhage ◽  
S. Heikkilä

In this paper we shall study the existence of the extremal solutions of a nonlinear boundary value problem of a second order differential equation with general Dirichlet/Neumann form boundary conditions. The right hand side of the differential equation is assumed to contain a deviating argument, and it is allowed to possess discontinuities in all the variables. The proof is based on a generalized iteration method.


1991 ◽  
Vol 06 (08) ◽  
pp. 677-692 ◽  
Author(s):  
A.V. KOTIKOV

A new method of massive Feynman integrals calculation which is based on the rule of integration by parts is presented. This rule is expanded to the massive case. By applying this rule, we obtain a differential equation with respect to the mass for the initial diagram. The right-hand side of the equation contains simpler diagrams (i.e., containing only loops, not chains). This can be done by applying the procedure consecutively. These loops can be calculated either by the standard Feynman-parameter procedure or by a procedure which decreases the number of loops step-by-step. We demonstrate the capacities of this method for various complicated diagrams and make an attempt to analyze other possible massive Feynman diagrams calculations.


1993 ◽  
Vol 03 (04) ◽  
pp. 477-483
Author(s):  
D.D. BAINOV ◽  
S.I. KOSTADINOV ◽  
NGUYEN VAN MINH ◽  
P.P. ZABREIKO

Continuous dependence of the solutions of an impulsive differential equation on a small parameter is proved under the assumption that the right-hand side of the equation and the impulse operators satisfy conditions of Lipschitz type.


Author(s):  
L. E. Melamed

THE PURPOSE. The aim of the work is to find a method for mathematical modeling and analysis of inhomogeneous physical fields and the influence of internal structures on these fields. Solutions are sought in areas in which there are subdomains with already known behavior (“embedded” areas and embedded solutions). The goal is to find a modeling method that does not require a change in existing software and is associated only with the modification of the right-hand sides of the equations under consideration. METHODS. The proposed method of mathematical modeling is characterized by the use of characteristic functions for specifying the geometric location and shape of embedded areas, for specifying systems of embedded areas (for example, spherical fillings or turbulent vortices) without specifying them as geometric objects, for modifying the calculated differential equation within the embedded areas. RESULTS. A theorem is formulated and proved (in the form of a statement) that formalizes the essence of the proposed method and gives an algorithm for its application. This algorithm consists in a) representation of the differential equation of the problem in another analytical form; in this form, a term is added to the original differential equation (to its right-hand side), in the presence of which this equation gives a predetermined ("built-in") solution in the necessary regions and b) a representation of the desired solution (using the characteristic function) in the form in which this solution takes the form of either the desired function (in the main area) or the specified functions (in the embedded areas). Examples of calculations from two physical and technical areas - thermal conductivity and hydrodynamics are presented. The result of the work is also the calculation of a turbulent flow in a pipe, in which a system of ball vortices, the speed and direction of rotation of these vortices are specified. CONCLUSION. The proposed method makes it possible to simulate complex physical processes, including turbulence, has been tested, is quite simple and indispensable in cases where embedded structures can be specified only by software.


Author(s):  
V.A. Hashimov ◽  

The article proposes an approach to solving the problem of synthesis of motion and power control of lumped sources. For concreteness, the problem of linear feedback control of moving heat sources during heating of the rod is considered. The powers and motion of point sources, participating in the right-hand side of the differential equation of parabolic type, are determined depending on the measured values of the process state at the points of measurement. As a result, the right-hand side of the differential equation linearly depends on the values of the process state at the given points of the bar. Formulas for the components of the gradient of the functional with respect to the parameters of linear feedback are obtained, which make it possible to use first-order optimization methods for the numerical solution of synthesis problems.


Author(s):  
L.I. Rubina ◽  
O.N. Ul'yanov

An algorithm is proposed for obtaining solutions of partial differential equations with right-hand side defined on the grid $\{ x_{1}^{\mu}, x_{2}^{\mu}, \ldots, x_{n}^{\mu}\},\ (\mu=1,2,\ldots,N)\colon f_{\mu}=f(x_{1}^{\mu}, x_{2}^{\mu}, \ldots, x_{n}^{\mu}).$ Here $n$ is the number of independent variables in the original partial differential equation, $N$ is the number of rows in the grid for the right-hand side, $f=f( x_{1}, x_{2}, \ldots, x_{n})$ is the right-hand of the original equation. The algorithm implements a reduction of the original equation to a system of ordinary differential equations (ODE system) with initial conditions at each grid point and includes the following sequence of actions. We seek a solution to the original equation, depending on one independent variable. The original equation is associated with a certain system of relations containing arbitrary functions and including the partial differential equation of the first order. For an equation of the first order, an extended system of equations of characteristics is written. Adding to it the remaining relations containing arbitrary functions, and demanding that these relations be the first integrals of the extended system of equations of characteristics, we arrive at the desired ODE system, completing the reduction. The proposed algorithm allows at each grid point to find a solution of the original partial differential equation that satisfies the given initial and boundary conditions. The algorithm is used to obtain solutions of the Poisson equation and the equation of unsteady axisymmetric filtering at the points of the grid on which the right-hand sides of the corresponding equations are given.


Sign in / Sign up

Export Citation Format

Share Document