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# Line 212 | Line 212 | q_i }}} \right) = 0}
212   }}\dot p_i } \right)}  = \sum\limits_i {\left( {\frac{{\partial
213   H}}{{\partial q_i }}\frac{{\partial H}}{{\partial p_i }} -
214   \frac{{\partial H}}{{\partial p_i }}\frac{{\partial H}}{{\partial
215 < q_i }}} \right) = 0}
216 < \label{introEquation:conserveHalmitonian}
215 > q_i }}} \right) = 0} \label{introEquation:conserveHalmitonian}
216   \end{equation}
218
219 When studying Hamiltonian system, it is more convenient to use
220 notation
221 \begin{equation}
222 r = r(q,p)^T
223 \end{equation}
224 and to introduce a $2n \times 2n$ canonical structure matrix $J$,
225 \begin{equation}
226 J = \left( {\begin{array}{*{20}c}
227   0 & I  \\
228   { - I} & 0  \\
229 \end{array}} \right)
230 \label{introEquation:canonicalMatrix}
231 \end{equation}
232 where $I$ is a $n \times n$ identity matrix and $J$ is a
233 skew-symmetric matrix ($ J^T  =  - J $). Thus, Hamiltonian system
234 can be rewritten as,
235 \begin{equation}
236 \frac{d}{{dt}}r = J\nabla _r H(r)
237 \label{introEquation:compactHamiltonian}
238 \end{equation}
239
240 \section{\label{introSection:geometricIntegratos}Geometric Integrators}
241
242 \subsection{\label{introSection:symplecticManifold}Symplectic Manifold}
243 A \emph{manifold} is an abstract mathematical space. It locally
244 looks like Euclidean space, but when viewed globally, it may have
245 more complicate structure. A good example of manifold is the surface
246 of Earth. It seems to be flat locally, but it is round if viewed as
247 a whole. A \emph{differentiable manifold} (also known as
248 \emph{smooth manifold}) is a manifold with an open cover in which
249 the covering neighborhoods are all smoothly isomorphic to one
250 another. In other words,it is possible to apply calculus on
251 \emph{differentiable manifold}. A \emph{symplectic manifold} is
252 defined as a pair $(M, \omega)$ consisting of a \emph{differentiable
253 manifold} $M$ and a close, non-degenerated, bilinear symplectic
254 form, $\omega$. One of the motivation to study \emph{symplectic
255 manifold} in Hamiltonian Mechanics is that a symplectic manifold can
256 represent all possible configurations of the system and the phase
257 space of the system can be described by it's cotangent bundle. Every
258 symplectic manifold is even dimensional. For instance, in Hamilton
259 equations, coordinate and momentum always appear in pairs.
217  
261 A \emph{symplectomorphism} is also known as a \emph{canonical
262 transformation}.
263
264 Any real-valued differentiable function H on a symplectic manifold
265 can serve as an energy function or Hamiltonian. Associated to any
266 Hamiltonian is a Hamiltonian vector field; the integral curves of
267 the Hamiltonian vector field are solutions to the Hamilton-Jacobi
268 equations. The Hamiltonian vector field defines a flow on the
269 symplectic manifold, called a Hamiltonian flow or symplectomorphism.
270 By Liouville's theorem, Hamiltonian flows preserve the volume form
271 on the phase space.
272
273 \subsection{\label{Construction of Symplectic Methods}}
274
218   \section{\label{introSection:statisticalMechanics}Statistical
219   Mechanics}
220  
# Line 312 | Line 255 | will be the best choice\cite{Frenkel1996}.
255   system lends itself to a time averaging approach, the Molecular
256   Dynamics techniques in Sec.~\ref{introSection:molecularDynamics}
257   will be the best choice\cite{Frenkel1996}.
258 +
259 + \section{\label{introSection:geometricIntegratos}Geometric Integrators}
260 + A variety of numerical integrators were proposed to simulate the
261 + motions. They usually begin with an initial conditionals and move
262 + the objects in the direction governed by the differential equations.
263 + However, most of them ignore the hidden physical law contained
264 + within the equations. Since 1990, geometric integrators, which
265 + preserve various phase-flow invariants such as symplectic structure,
266 + volume and time reversal symmetry, are developed to address this
267 + issue. The velocity verlet method, which happens to be a simple
268 + example of symplectic integrator, continues to gain its popularity
269 + in molecular dynamics community. This fact can be partly explained
270 + by its geometric nature.
271 +
272 + \subsection{\label{introSection:symplecticManifold}Symplectic Manifold}
273 + A \emph{manifold} is an abstract mathematical space. It locally
274 + looks like Euclidean space, but when viewed globally, it may have
275 + more complicate structure. A good example of manifold is the surface
276 + of Earth. It seems to be flat locally, but it is round if viewed as
277 + a whole. A \emph{differentiable manifold} (also known as
278 + \emph{smooth manifold}) is a manifold with an open cover in which
279 + the covering neighborhoods are all smoothly isomorphic to one
280 + another. In other words,it is possible to apply calculus on
281 + \emph{differentiable manifold}. A \emph{symplectic manifold} is
282 + defined as a pair $(M, \omega)$ which consisting of a
283 + \emph{differentiable manifold} $M$ and a close, non-degenerated,
284 + bilinear symplectic form, $\omega$. A symplectic form on a vector
285 + space $V$ is a function $\omega(x, y)$ which satisfies
286 + $\omega(\lambda_1x_1+\lambda_2x_2, y) = \lambda_1\omega(x_1, y)+
287 + \lambda_2\omega(x_2, y)$, $\omega(x, y) = - \omega(y, x)$ and
288 + $\omega(x, x) = 0$. Cross product operation in vector field is an
289 + example of symplectic form.
290 +
291 + One of the motivations to study \emph{symplectic manifold} in
292 + Hamiltonian Mechanics is that a symplectic manifold can represent
293 + all possible configurations of the system and the phase space of the
294 + system can be described by it's cotangent bundle. Every symplectic
295 + manifold is even dimensional. For instance, in Hamilton equations,
296 + coordinate and momentum always appear in pairs.
297 +
298 + Let  $(M,\omega)$ and $(N, \eta)$ be symplectic manifolds. A map
299 + \[
300 + f : M \rightarrow N
301 + \]
302 + is a \emph{symplectomorphism} if it is a \emph{diffeomorphims} and
303 + the \emph{pullback} of $\eta$ under f is equal to $\omega$.
304 + Canonical transformation is an example of symplectomorphism in
305 + classical mechanics.
306 +
307 + \subsection{\label{introSection:ODE}Ordinary Differential Equations}
308 +
309 + For a ordinary differential system defined as
310 + \begin{equation}
311 + \dot x = f(x)
312 + \end{equation}
313 + where $x = x(q,p)^T$, this system is canonical Hamiltonian, if
314 + \begin{equation}
315 + f(r) = J\nabla _x H(r).
316 + \end{equation}
317 + $H = H (q, p)$ is Hamiltonian function and $J$ is the skew-symmetric
318 + matrix
319 + \begin{equation}
320 + J = \left( {\begin{array}{*{20}c}
321 +   0 & I  \\
322 +   { - I} & 0  \\
323 + \end{array}} \right)
324 + \label{introEquation:canonicalMatrix}
325 + \end{equation}
326 + where $I$ is an identity matrix. Using this notation, Hamiltonian
327 + system can be rewritten as,
328 + \begin{equation}
329 + \frac{d}{{dt}}x = J\nabla _x H(x)
330 + \label{introEquation:compactHamiltonian}
331 + \end{equation}In this case, $f$ is
332 + called a \emph{Hamiltonian vector field}.
333  
334 + Another generalization of Hamiltonian dynamics is Poisson Dynamics,
335 + \begin{equation}
336 + \dot x = J(x)\nabla _x H \label{introEquation:poissonHamiltonian}
337 + \end{equation}
338 + The most obvious change being that matrix $J$ now depends on $x$.
339 + The free rigid body is an example of Poisson system (actually a
340 + Lie-Poisson system) with Hamiltonian function of angular kinetic
341 + energy.
342 + \begin{equation}
343 + J(\pi ) = \left( {\begin{array}{*{20}c}
344 +   0 & {\pi _3 } & { - \pi _2 }  \\
345 +   { - \pi _3 } & 0 & {\pi _1 }  \\
346 +   {\pi _2 } & { - \pi _1 } & 0  \\
347 + \end{array}} \right)
348 + \end{equation}
349 +
350 + \begin{equation}
351 + H = \frac{1}{2}\left( {\frac{{\pi _1^2 }}{{I_1 }} + \frac{{\pi _2^2
352 + }}{{I_2 }} + \frac{{\pi _3^2 }}{{I_3 }}} \right)
353 + \end{equation}
354 +
355 + \subsection{\label{introSection:geometricProperties}Geometric Properties}
356 + Let $x(t)$ be the exact solution of the ODE system,
357 + \begin{equation}
358 + \frac{{dx}}{{dt}} = f(x) \label{introEquation:ODE}
359 + \end{equation}
360 + The exact flow(solution) $\varphi_\tau$ is defined by
361 + \[
362 + x(t+\tau) =\varphi_\tau(x(t))
363 + \]
364 + where $\tau$ is a fixed time step and $\varphi$ is a map from phase
365 + space to itself. In most cases, it is not easy to find the exact
366 + flow $\varphi_\tau$. Instead, we use a approximate map, $\psi_\tau$,
367 + which is usually called integrator. The order of an integrator
368 + $\psi_\tau$ is $p$, if the Taylor series of $\psi_\tau$ agree to
369 + order $p$,
370 + \begin{equation}
371 + \psi_tau(x) = x + \tau f(x) + O(\tau^{p+1})
372 + \end{equation}
373 +
374 + The hidden geometric properties of ODE and its flow play important
375 + roles in numerical studies. Let $\varphi$ be the flow of Hamiltonian
376 + vector field, $\varphi$ is a \emph{symplectic} flow if it satisfies,
377 + \begin{equation}
378 + '\varphi^T J '\varphi = J.
379 + \end{equation}
380 + According to Liouville's theorem, the symplectic volume is invariant
381 + under a Hamiltonian flow, which is the basis for classical
382 + statistical mechanics. Furthermore, the flow of a Hamiltonian vector
383 + field on a symplectic manifold can be shown to be a
384 + symplectomorphism. As to the Poisson system,
385 + \begin{equation}
386 + '\varphi ^T J '\varphi  = J \circ \varphi
387 + \end{equation}
388 + is the property must be preserved by the integrator. It is possible
389 + to construct a \emph{volume-preserving} flow for a source free($
390 + \nabla \cdot f = 0 $) ODE, if the flow satisfies $ \det d\varphi  =
391 + 1$. Changing the variables $y = h(x)$ in a
392 + ODE\ref{introEquation:ODE} will result in a new system,
393 + \[
394 + \dot y = \tilde f(y) = ((dh \cdot f)h^{ - 1} )(y).
395 + \]
396 + The vector filed $f$ has reversing symmetry $h$ if $f = - \tilde f$.
397 + In other words, the flow of this vector field is reversible if and
398 + only if $ h \circ \varphi ^{ - 1}  = \varphi  \circ h $. When
399 + designing any numerical methods, one should always try to preserve
400 + the structural properties of the original ODE and its flow.
401 +
402 + \subsection{\label{introSection:constructionSymplectic}Construction of Symplectic Methods}
403 + A lot of well established and very effective numerical methods have
404 + been successful precisely because of their symplecticities even
405 + though this fact was not recognized when they were first
406 + constructed. The most famous example is leapfrog methods in
407 + molecular dynamics. In general, symplectic integrators can be
408 + constructed using one of four different methods.
409 + \begin{enumerate}
410 + \item Generating functions
411 + \item Variational methods
412 + \item Runge-Kutta methods
413 + \item Splitting methods
414 + \end{enumerate}
415 +
416 + Generating function tends to lead to methods which are cumbersome
417 + and difficult to use\cite{}. In dissipative systems, variational
418 + methods can capture the decay of energy accurately\cite{}. Since
419 + their geometrically unstable nature against non-Hamiltonian
420 + perturbations, ordinary implicit Runge-Kutta methods are not
421 + suitable for Hamiltonian system. Recently, various high-order
422 + explicit Runge--Kutta methods have been developed to overcome this
423 + instability \cite{}. However, due to computational penalty involved
424 + in implementing the Runge-Kutta methods, they do not attract too
425 + much attention from Molecular Dynamics community. Instead, splitting
426 + have been widely accepted since they exploit natural decompositions
427 + of the system\cite{Tuckerman92}. The main idea behind splitting
428 + methods is to decompose the discrete $\varphi_h$ as a composition of
429 + simpler flows,
430 + \begin{equation}
431 + \varphi _h  = \varphi _{h_1 }  \circ \varphi _{h_2 }  \ldots  \circ
432 + \varphi _{h_n }
433 + \label{introEquation:FlowDecomposition}
434 + \end{equation}
435 + where each of the sub-flow is chosen such that each represent a
436 + simpler integration of the system. Let $\phi$ and $\psi$ both be
437 + symplectic maps, it is easy to show that any composition of
438 + symplectic flows yields a symplectic map,
439 + \begin{equation}
440 + (\varphi '\phi ')^T J\varphi '\phi ' = \phi '^T \varphi '^T J\varphi
441 + '\phi ' = \phi '^T J\phi ' = J.
442 + \label{introEquation:SymplecticFlowComposition}
443 + \end{equation}
444 + Suppose that a Hamiltonian system has a form with $H = T + V$
445 +
446 +
447 +
448   \section{\label{introSection:molecularDynamics}Molecular Dynamics}
449  
450   As a special discipline of molecular modeling, Molecular dynamics

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