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Order differential equation

It is important to determine the partial-differential-equation order. One of the most important reasons to understand order relates to consistent boundary-condition assignment. All the equations are first order in time. The spatial behavior can be a bit trickier. The continuity equation is first order in the velocity and density. The momentum equations are second order on the velocity and first order in the pressure. The species continuity equations are essentially second order in the composition (mass fraction Yy), since (see Eq. 3.128)... [Pg.130]

The differential equations are solved using the ordinary differential equation order ode as presented earlier. [Pg.132]

M-file containing the set of differential equations Order of Runge-Kutta method = 4... [Pg.320]

At first we tried to explain the phenomenon on the base of the existence of the difference between the saturated vapor pressures above two menisci in dead-end capillary [12]. It results in the evaporation of a liquid from the meniscus of smaller curvature ( classical capillary imbibition) and the condensation of its vapor upon the meniscus of larger curvature originally existed due to capillary condensation. We worked out the mathematical description of both gas-vapor diffusion and evaporation-condensation processes in cone s channel. Solving the system of differential equations for evaporation-condensation processes, we ve derived the formula for the dependence of top s (or inner) liquid column growth on time. But the calculated curves for the kinetics of inner column s length are 1-2 orders of magnitude smaller than the experimental ones [12]. [Pg.616]

Hamiltonian, but in practice one often begins with a phenomenological set of equations. The set of macrovariables are chosen to include the order parameter and all otlier slow variables to which it couples. Such slow variables are typically obtained from the consideration of the conservation laws and broken synnnetries of the system. The remaining degrees of freedom are assumed to vary on a much faster timescale and enter the phenomenological description as random themial noise. The resulting coupled nonlinear stochastic differential equations for such a chosen relevant set of macrovariables are collectively referred to as the Langevin field theory description. [Pg.735]

Written in matrix notation, the system of first-order differential equations, (A3.4.139) takes the fomi... [Pg.789]

General first-order kinetics also play an important role for the so-called local eigenvalue analysis of more complicated reaction mechanisms, which are usually described by nonlinear systems of differential equations. Linearization leads to effective general first-order kinetics whose analysis reveals infomiation on the time scales of chemical reactions, species in steady states (quasi-stationarity), or partial equilibria (quasi-equilibrium) [M, and ]. [Pg.791]

Equation (B2.4.13) is a pair of first-order differential equations, so its fonnal solution is given by equation (B2.4.14)), in which exp() means the exponential of a matrix. [Pg.2096]

Gear C W 1966 The numerical integration of ordinary differential equations of various orders ANL 7126... [Pg.2280]

The method of Ishida et al [84] includes a minimization in the direction in which the path curves, i.e. along (g/ g -g / gj), where g and g are the gradient at the begiiming and the end of an Euler step. This teclmique, called the stabilized Euler method, perfomis much better than the simple Euler method but may become numerically unstable for very small steps. Several other methods, based on higher-order integrators for differential equations, have been proposed [85, 86]. [Pg.2353]

Hence, in order to contract extended BO approximated equations for an N-state coupled BO system that takes into account the non-adiabatic coupling terms, we have to solve N uncoupled differential equations, all related to the electronic ground state but with different eigenvalues of the non-adiabatic coupling matrix. These uncoupled equations can yield meaningful physical... [Pg.66]

Here, dj = cos(y,j) and sy = sin(Yy). The three angles are obtained by solving the following three coupled first-order differential equations, which follow from Eq. (19) [36,84,85] ... [Pg.659]

Equation (26) is a set of partial first-order differential equations. Each component of the Curl forms an equation and this equation may or may not be coupled to the other equations. In general, the number of equations is equal to the number of components of the Curl equations. At this stage, to solve this set of equation in its most general case seems to be a fomiidable task. [Pg.692]

In Section V.B, we discussed to some extent the 3x3 adiabatic-to-diabatic transformation matrix A(= for a tri-state system. This matrix was expressed in terms of three (Euler-type) angles Y,y,r = 1,2,3 [see Eq. (81)], which fulfill a set of three coupled, first-order, differential equations [see Eq. (82)]. [Pg.729]

The chaotic nature of individual MD trajectories has been well appreciated. A small change in initial conditions (e.g., a fraction of an Angstrom difference in Cartesian coordinates) can lead to exponentially-diverging trajectories in a relatively short time. The larger the initial difference and/or the timestep, the more rapid this Lyapunov instability. Fig. 1 reports observed behavior for the dynamics of a butane molecule. The governing Newtonian model is the following set of two first-order differential equations ... [Pg.228]

In this section we consider the classical equations of motion of particles in cases where the highest-frequency oscillations are nearly harmonic The positions y t) = j/i (t) evolve according to the second-order system of differential equations... [Pg.422]

M. Hochbruck and Ch. Lubich. A Gautschi-type method for oscillatory second-order differential equations. Tech. Rep., Universitat Tubingen, 1998. [Pg.431]

Note that the mathematical symbol V stands for the second derivative of a function (in this case with respect to the Cartesian coordinates d fdx + d jdy + d jdz y, therefore the relationship stated in Eq. (41) is a second-order differential equation. Only for a constant dielectric Eq.(41) can be reduced to Coulomb s law. In the more interesting case where the dielectric is not constant within the volume considered, the Poisson equation is modified according to Eq. (42). [Pg.365]

Equations (11.111) - (11.113) define a boundary value problem for a pair of simultaneous second order differential equations in and x, subject... [Pg.155]

On subsciCuLlng (12.49) into uhe dynamical equations we may expand each term in powers of the perturbations and retain only terms of the zeroth and first orders. The terms of order zero can then be eliminated by subtracting the steady state equations, and what remains is a set of linear partial differential equations in the perturbations. Thus equations (12.46) and (12.47) yield the following pair of linearized perturbation equations... [Pg.172]

The charge density is simply the distribution of charge throughout the system and has 1 units of Cm . The Poisson equation is thus a second-order differential equation (V the usual abbreviation for (d /dr ) + (f /dx/) + (d /dz )). For a set of point charges in constant dielectric the Poisson equation reduces to Coulomb s law. However, if the dielectr... [Pg.619]

In the earlier versions of the streamline upwinding scheme the modified weight function was only applied to the convection tenns (i.e. first-order derivatives in the hyperbolic equations) while all other terms were weighted in the usual manner. This is called selective or inconsistent upwinding. Selective upwinding can be interpreted as the introduction of an artificial diffusion in addition to the physical diffusion to the weighted residual statement of the differential equation. This improves the stability of the scheme but the accuracy of the solution declines. [Pg.54]

Time derivatives in expansion (2.113) can now be substituted using the differential equation (2.112) (Donea, 1984 The first order time derivative in expansion (2.113) is substituted using Equation (2.112) as... [Pg.67]

The remaining terms in equation set (4.125) are identical to their counterparts derived for the steady-state case (given as Equations (4.55) to (4.60)). By application of the 9 time-stepping method, described in Chapter 2, Section 2.5, to the set of first-order ordinary differential equations (4.125) the working equations of the solution scheme are obtained. The general form of tliese equations will be identical to Equation (2.111) in Chapter 2,... [Pg.133]

There are now four constants rather than eight. We expect four constants from two second-order differential equations. Dropping the unnecessary subscript 1 and replacing the cumbersome prime notation . [Pg.135]


See other pages where Order differential equation is mentioned: [Pg.739]    [Pg.789]    [Pg.791]    [Pg.1426]    [Pg.1502]    [Pg.2101]    [Pg.2114]    [Pg.2353]    [Pg.149]    [Pg.193]    [Pg.212]    [Pg.213]    [Pg.214]    [Pg.226]    [Pg.650]    [Pg.662]    [Pg.498]    [Pg.143]    [Pg.156]    [Pg.48]    [Pg.43]    [Pg.67]    [Pg.98]   
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Differential Equations the Basic Reduction to First Order Systems

Differential equations first order, analytical solution

Differential equations linear, order

Differential order

Exact differential equations of the first order

First order hyperbolic partial differential equations

First order linear ordinary differential equations

First order parabolic partial differential equation

First-order approximation differential equations

First-order differential equation

First-order differential equations linear, solution

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First-order nonlinear ordinary differential equation

Fourth-order differential equations

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Linear Higher-Order Differential Equations

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Order equation

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Second order partial differential equation

Second-order differential equation

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