翻訳と辞書
Words near each other
・ Variegated laughingthrush
・ Variegated lizardfish
・ Variegated meadowhawk
・ Variegated mogurnda
・ Variegated mountain lizard
・ Variegated pink lemon
・ Variegated squirrel
・ Variegated tinamou
・ Variegated tree frog
・ Variegated wolf
・ Variegated yarn
・ Variegatic acid
・ Variegation
・ Variational bicomplex
・ Variational inequality
Variational integrator
・ Variational message passing
・ Variational method (quantum mechanics)
・ Variational methods in general relativity
・ Variational Monte Carlo
・ Variational perturbation theory
・ Variational principle
・ Variational properties
・ Variational transition-state theory
・ Variational vector field
・ Variations (Andrew Lloyd Webber album)
・ Variations (ballet)
・ Variations (Cage)
・ Variations (Eddie Rabbitt album)
・ Variations (Stravinsky)


Dictionary Lists
翻訳と辞書 辞書検索 [ 開発暫定版 ]
スポンサード リンク

Variational integrator : ウィキペディア英語版
Variational integrator
Variational integrators are numerical integrators for Hamiltonian systems derived from the Euler–Lagrange equations of a discretized Hamilton's principle. Variational integrators are momentum-preserving and symplectic.
==Derivation of a Simple Variational Integrator==

Consider a mechanical system with a single particle degree of freedom described by the Lagrangian
: L(t,q,v) = \frac m v^2 - V(q),
where m is the mass of the particle, and V is a potential. To construct a variational integrator for this system, we begin by forming the discrete Lagrangian. The discrete Lagrangian approximates the action for the system over a short time interval:
: L_d\left(t_0, t_1, q_0, q_1\right) = \frac \left(L\left(t_0, q_0, \frac\right) + L\left(t_1, q_1, \frac\right) \right ) \approx \int_^ dt\, L(t, q(t), v(t)) .
Here we have chosen to approximate the time integral using the trapezoid method, and we use a linear approximation to the trajectory,
: q(t) \approx \frac \left( t - t_0 \right) + q_0
between t_0 and t_1, resulting in a constant velocity v \approx \left(q_1 - q_0 \right)/\left(t_1 - t_0 \right). Different choices for the approximation to the trajectory and the time integral give different variational integrators. The order of accuracy of the integrator is controlled by the accuracy of our approximation to the action; since
: L_d\left( t_0, t_1, q_0, q_1 \right) = \int_^ dt\, L(t,q(t),v(t)) + \mathcal\left(t_1 - t_0\right)^3,
our integrator will be second-order accurate.
Evolution equations for the discrete system can be derived from a stationary-action principle. The discrete action over an extended time interval is a sum of discrete Lagrangians over many sub-intervals:
: S_d = L_d\left(t_0, t_1, q_0, q_1 \right) + L_d\left( t_1, t_2, q_1, q_2 \right) + \ldots.
The principle of stationary action states that the action is stationary with respect to variations of coordinates that leave the endpoints of the trajectory fixed. So, varying the coordinate q_1, we have
: \frac = 0 = \frac L_d\left(t_0, t_1, q_0, q_1 \right) + \frac L_d\left( t_1, t_2, q_1, q_2 \right).
Given an initial condition (q_0, q_1), and a sequence of times (t_0,t_1,t_2) this provides a relation that can be solved for q_2. The solution is
: q_2 = q_1 + \frac \left( q_1 - q_0 \right) - \frac \fracV\left(q_1\right).
We can write this in a simpler form if we define the discrete momenta,
: p_0 \equiv -\frac L_d\left( t_0, t_1, q_0, q_1 \right)
and
: p_1 \equiv \frac L_d\left( t_0, t_1, q_0, q_1 \right).
Given an initial condition (q_0,p_0), the stationary action condition is equivalent to solving the first of these equations for q_1, and then determining p_1 using the second equation. This evolution scheme gives
: q_1 = q_0 + \frac p_0 - \frac \frac V\left( q_0 \right)
and
: p_1 = m \frac - \frac \frac V\left(q_1\right).
This is a leapfrog integration scheme for the system; two steps of this evolution are equivalent to the formula above for q_2

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Variational integrator」の詳細全文を読む



スポンサード リンク
翻訳と辞書 : 翻訳のためのインターネットリソース

Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.