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# Line 337 | Line 337 | distribution,
337   connected to the Hamiltonian $H$ through Maxwell-Boltzmann
338   distribution,
339   \begin{equation}
340 < \rho  \propto e^{ - \beta H}
340 > \rho  \propto e^{ - \beta H}.
341   \label{introEquation:densityAndHamiltonian}
342   \end{equation}
343  
# Line 349 | Line 349 | inside this region is given by,
349   If this region is small enough, the density $\rho$ can be regarded
350   as uniform over the whole integral. Thus, the number of phase points
351   inside this region is given by,
352 < \begin{equation}
353 < \delta N = \rho \delta v = \rho \int { \ldots \int {dq_1 } ...dq_f
354 < dp_1 } ..dp_f.
355 < \end{equation}
356 <
357 < \begin{equation}
358 < \frac{{d(\delta N)}}{{dt}} = \frac{{d\rho }}{{dt}}\delta v + \rho
352 > \begin{eqnarray}
353 > \delta N &=& \rho \delta v = \rho \int { \ldots \int {dq_1 } ...dq_f dp_1 } ..dp_f,\\
354 > \frac{{d(\delta N)}}{{dt}} &=& \frac{{d\rho }}{{dt}}\delta v + \rho
355   \frac{d}{{dt}}(\delta v) = 0.
356 < \end{equation}
356 > \end{eqnarray}
357   With the help of the stationary assumption
358   (Eq.~\ref{introEquation:stationary}), we obtain the principle of
359   \emph{conservation of volume in phase space},
# Line 450 | Line 446 | partly explained by its geometric nature.
446   popularity in the molecular dynamics community. This fact can be
447   partly explained by its geometric nature.
448  
449 < \subsection{\label{introSection:symplecticManifold}Symplectic Manifolds}
449 > \subsection{\label{introSection:symplecticManifold}Manifolds and Bundles}
450   A \emph{manifold} is an abstract mathematical space. It looks
451   locally like Euclidean space, but when viewed globally, it may have
452   more complicated structure. A good example of manifold is the
# Line 465 | Line 461 | $\omega(x, x) = 0$.\cite{McDuff1998} The cross product
461   $\omega(\lambda_1x_1+\lambda_2x_2, y) = \lambda_1\omega(x_1, y)+
462   \lambda_2\omega(x_2, y)$, $\omega(x, y) = - \omega(y, x)$ and
463   $\omega(x, x) = 0$.\cite{McDuff1998} The cross product operation in
464 < vector field is an example of symplectic form. One of the
465 < motivations to study \emph{symplectic manifolds} in Hamiltonian
466 < Mechanics is that a symplectic manifold can represent all possible
467 < configurations of the system and the phase space of the system can
468 < be described by it's cotangent bundle.\cite{Jost2002} Every
469 < symplectic manifold is even dimensional. For instance, in Hamilton
470 < equations, coordinate and momentum always appear in pairs.
464 > vector field is an example of symplectic form.
465 > Given vector spaces $V$ and $W$ over same field $F$, $f: V \to W$ is a linear transformation if
466 > \begin{eqnarray*}
467 > f(x+y) & = & f(x) + f(y) \\
468 > f(ax) & = & af(x)
469 > \end{eqnarray*}
470 > are always satisfied for any two vectors $x$ and $y$ in $V$ and any scalar $a$ in $F$. One can define the dual vector space $V^*$ of $V$ if any two built-in linear transformations $\phi$ and $\psi$ in $V^*$ satisfy the following definition of addition and scalar multiplication:
471 > \begin{eqnarray*}
472 > (\phi+\psi)(x) & = & \phi(x)+\psi(x) \\
473 > (a\phi)(x) & = & a \phi(x)
474 > \end{eqnarray*}
475 > for all $a$ in $F$ and $x$ in $V$. For a manifold $M$, one can define a tangent vector of a tangent space $TM_q$ at every point $q$
476 > \begin{equation}
477 > \dot q = \mathop {\lim }\limits_{t \to 0} \frac{{\phi (t) - \phi (0)}}{t}
478 > \end{equation}
479 > where $\phi(0)=q$ and $\phi(t) \in M$. One may also define a cotangent space $T^*M_q$ as the dual space of the tangent space $TM_q$. The tangent space and the cotangent space are isomorphic to each other, since they are both real vector spaces with same dimension.
480 > The union of tangent spaces at every point of $M$ is called the tangent bundle of $M$ and is denoted by $TM$, while cotangent bundle $T^*M$ is defined as the union of the cotangent spaces to $M$.\cite{Jost2002} For a Hamiltonian system with configuration manifold $V$, the $(q,\dot q)$ phase space is the tangent bundle of the configuration manifold $V$, while the cotangent bundle is represented by $(q,p)$.
481  
482   \subsection{\label{introSection:ODE}Ordinary Differential Equations}
483  
# Line 528 | Line 534 | Therefore, the exact propagator is self-adjoint,
534   \begin{equation}
535   \varphi _\tau   = \varphi _{ - \tau }^{ - 1}.
536   \end{equation}
531 The exact propagator can also be written as an operator,
532 \begin{equation}
533 \varphi _\tau  (x) = e^{\tau \sum\limits_i {f_i (x)\frac{\partial
534 }{{\partial x_i }}} } (x) \equiv \exp (\tau f)(x).
535 \label{introEquation:exponentialOperator}
536 \end{equation}
537   In most cases, it is not easy to find the exact propagator
538   $\varphi_\tau$. Instead, we use an approximate map, $\psi_\tau$,
539   which is usually called an integrator. The order of an integrator
# Line 623 | Line 623 | against non-Hamiltonian perturbations, ordinary implic
623   variational methods can capture the decay of energy
624   accurately.\cite{Kane2000} Since they are geometrically unstable
625   against non-Hamiltonian perturbations, ordinary implicit Runge-Kutta
626 < methods are not suitable for Hamiltonian system. Recently, various
627 < high-order explicit Runge-Kutta methods \cite{Owren1992,Chen2003}
628 < have been developed to overcome this instability. However, due to
629 < computational penalty involved in implementing the Runge-Kutta
630 < methods, they have not attracted much attention from the Molecular
631 < Dynamics community. Instead, splitting methods have been widely
632 < accepted since they exploit natural decompositions of the
633 < system.\cite{McLachlan1998, Tuckerman1992}
626 > methods are not suitable for Hamiltonian
627 > system.\cite{Cartwright1992} Recently, various high-order explicit
628 > Runge-Kutta methods \cite{Owren1992,Chen2003} have been developed to
629 > overcome this instability. However, due to computational penalty
630 > involved in implementing the Runge-Kutta methods, they have not
631 > attracted much attention from the Molecular Dynamics community.
632 > Instead, splitting methods have been widely accepted since they
633 > exploit natural decompositions of the system.\cite{McLachlan1998,
634 > Tuckerman1992}
635  
636   \subsubsection{\label{introSection:splittingMethod}\textbf{Splitting Methods}}
637  
# Line 653 | Line 654 | simple first order expression is then given by the Lie
654   problem. If $H_1$ and $H_2$ can be integrated using exact
655   propagators $\varphi_1(t)$ and $\varphi_2(t)$, respectively, a
656   simple first order expression is then given by the Lie-Trotter
657 < formula
657 > formula\cite{Trotter1959}
658   \begin{equation}
659   \varphi _h  = \varphi _{1,h}  \circ \varphi _{2,h},
660   \label{introEquation:firstOrderSplitting}
# Line 752 | Line 753 | commutator of the
753   The Baker-Campbell-Hausdorff formula\cite{Gilmore1974} can be used
754   to determine the local error of a splitting method in terms of the
755   commutator of the
756 < operators(Eq.~\ref{introEquation:exponentialOperator}) associated
756 > operators associated
757   with the sub-propagator. For operators $hX$ and $hY$ which are
758   associated with $\varphi_1(t)$ and $\varphi_2(t)$ respectively , we
759   have
# Line 988 | Line 989 | illustration of shifted Coulomb potential.}
989   \label{introFigure:shiftedCoulomb}
990   \end{figure}
991  
991 %multiple time step
992
992   \subsection{\label{introSection:Analysis} Analysis}
993  
994 < Recently, advanced visualization techniques have been applied to
996 < monitor the motions of molecules. Although the dynamics of the
997 < system can be described qualitatively from animation, quantitative
998 < trajectory analysis is more useful. According to the principles of
994 > According to the principles of
995   Statistical Mechanics in
996   Sec.~\ref{introSection:statisticalMechanics}, one can compute
997   thermodynamic properties, analyze fluctuations of structural
# Line 1196 | Line 1192 | For a body fixed vector $X_i$ with respect to the cent
1192   1,\tilde Q^T \tilde PJ^{ - 1}  + J^{ - 1} P^T \tilde Q = 0} \right\}
1193   \]
1194   For a body fixed vector $X_i$ with respect to the center of mass of
1195 < the rigid body, its corresponding lab fixed vector $X_0^{lab}$  is
1195 > the rigid body, its corresponding lab fixed vector $X_i^{lab}$  is
1196   given as
1197   \begin{equation}
1198   X_i^{lab} = Q X_i + q.
# Line 1253 | Line 1249 | Omelyan1998} Applying the hat-map isomorphism, we obta
1249   motion. This unique property eliminates the requirement of
1250   iterations which can not be avoided in other methods.\cite{Kol1997,
1251   Omelyan1998} Applying the hat-map isomorphism, we obtain the
1252 < equation of motion for angular momentum in the body frame
1252 > equation of motion for angular momentum
1253   \begin{equation}
1254   \dot \pi  = \pi  \times I^{ - 1} \pi  + \sum\limits_i {\left( {Q^T
1255   F_i (r,Q)} \right) \times X_i }.
# Line 1624 | Line 1620 | Hence, the convolution integral becomes
1620   \int_0^t {\xi (t)\dot x(t - \tau )d\tau }  = 2\xi _0 \int_0^t
1621   {\delta (t)\dot x(t - \tau )d\tau }  = \xi _0 \dot x(t),
1622   \]
1623 < and Eq.~\ref{introEuqation:GeneralizedLangevinDynamics} becomes
1623 > and Eq.~\ref{introEuqation:GeneralizedLangevinDynamics} becomes the
1624 > Langevin equation
1625   \begin{equation}
1626   m\ddot x =  - \frac{{\partial W(x)}}{{\partial x}} - \xi _0 \dot
1627 < x(t) + R(t) \label{introEquation:LangevinEquation}
1627 > x(t) + R(t) \label{introEquation:LangevinEquation}.
1628   \end{equation}
1629 < which is known as the Langevin equation. The static friction
1630 < coefficient $\xi _0$ can either be calculated from spectral density
1631 < or be determined by Stokes' law for regular shaped particles. A
1632 < brief review on calculating friction tensors for arbitrary shaped
1633 < particles is given in Sec.~\ref{introSection:frictionTensor}.
1629 > The static friction coefficient $\xi _0$ can either be calculated
1630 > from spectral density or be determined by Stokes' law for regular
1631 > shaped particles. A brief review on calculating friction tensors for
1632 > arbitrary shaped particles is given in
1633 > Sec.~\ref{introSection:frictionTensor}.
1634  
1635   \subsubsection{\label{introSection:secondFluctuationDissipation}\textbf{The Second Fluctuation Dissipation Theorem}}
1636  

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