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# Line 831 | Line 831 | $\varphi_1(t)$ and $\varphi_2(t$ respectively , we hav
831   error of splitting method in terms of commutator of the
832   operators(\ref{introEquation:exponentialOperator}) associated with
833   the sub-flow. For operators $hX$ and $hY$ which are associate to
834 < $\varphi_1(t)$ and $\varphi_2(t$ respectively , we have
834 > $\varphi_1(t)$ and $\varphi_2(t)$ respectively , we have
835   \begin{equation}
836   \exp (hX + hY) = \exp (hZ)
837   \end{equation}
# Line 847 | Line 847 | can obtain
847   Applying Baker-Campbell-Hausdorff formula to Sprang splitting, we
848   can obtain
849   \begin{eqnarray*}
850 < \exp (h X/2)\exp (h Y)\exp (h X/2) & = & \exp (h X + h Y + h^2
851 < [X,Y]/4 + h^2 [Y,X]/4 \\ & & \mbox{} + h^2 [X,X]/8 + h^2 [Y,Y]/8 \\
852 < & & \mbox{} + h^3 [Y,[Y,X]]/12 - h^3 [X,[X,Y]]/24 & & \mbox{} +
853 < \ldots )
850 > \exp (h X/2)\exp (h Y)\exp (h X/2) & = & \exp (h X + h Y + h^2 [X,Y]/4 + h^2 [Y,X]/4 \\
851 >                                   &   & \mbox{} + h^2 [X,X]/8 + h^2 [Y,Y]/8 \\
852 >                                   &   & \mbox{} + h^3 [Y,[Y,X]]/12 - h^3[X,[X,Y]]/24 + \ldots )
853   \end{eqnarray*}
854   Since \[ [X,Y] + [Y,X] = 0\] and \[ [X,X] = 0\], the dominant local
855   error of Spring splitting is proportional to $h^3$. The same
# Line 859 | Line 858 | Careful choice of coefficient $a_1 ,\ldot , b_m$ will
858   \varphi _{b_m h}^2  \circ \varphi _{a_m h}^1  \circ \varphi _{b_{m -
859   1} h}^2  \circ  \ldots  \circ \varphi _{a_1 h}^1 .
860   \end{equation}
861 < Careful choice of coefficient $a_1 ,\ldot , b_m$ will lead to higher
861 > Careful choice of coefficient $a_1 \ldot b_m$ will lead to higher
862   order method. Yoshida proposed an elegant way to compose higher
863   order methods based on symmetric splitting. Given a symmetric second
864   order base method $ \varphi _h^{(2)} $, a fourth-order symmetric
# Line 1022 | Line 1021 | discontinuity in the potential energy curve
1021   evaluation is to apply cutoff where particles farther than a
1022   predetermined distance, are not included in the calculation
1023   \cite{Frenkel1996}. The use of a cutoff radius will cause a
1024 < discontinuity in the potential energy curve
1025 < (Fig.~\ref{introFig:shiftPot}). Fortunately, one can shift the
1026 < potential to ensure the potential curve go smoothly to zero at the
1027 < cutoff radius. Cutoff strategy works pretty well for Lennard-Jones
1028 < interaction because of its short range nature. However, simply
1029 < truncating the electrostatic interaction with the use of cutoff has
1030 < been shown to lead to severe artifacts in simulations. Ewald
1031 < summation, in which the slowly conditionally convergent Coulomb
1032 < potential is transformed into direct and reciprocal sums with rapid
1033 < and absolute convergence, has proved to minimize the periodicity
1034 < artifacts in liquid simulations. Taking the advantages of the fast
1035 < Fourier transform (FFT) for calculating discrete Fourier transforms,
1036 < the particle mesh-based methods are accelerated from $O(N^{3/2})$ to
1037 < $O(N logN)$. An alternative approach is \emph{fast multipole
1038 < method}, which treats Coulombic interaction exactly at short range,
1039 < and approximate the potential at long range through multipolar
1040 < expansion. In spite of their wide acceptances at the molecular
1041 < simulation community, these two methods are hard to be implemented
1042 < correctly and efficiently. Instead, we use a damped and
1043 < charge-neutralized Coulomb potential method developed by Wolf and
1044 < his coworkers. The shifted Coulomb potential for particle $i$ and
1046 < particle $j$ at distance $r_{rj}$ is given by:
1024 > discontinuity in the potential energy curve. Fortunately, one can
1025 > shift the potential to ensure the potential curve go smoothly to
1026 > zero at the cutoff radius. Cutoff strategy works pretty well for
1027 > Lennard-Jones interaction because of its short range nature.
1028 > However, simply truncating the electrostatic interaction with the
1029 > use of cutoff has been shown to lead to severe artifacts in
1030 > simulations. Ewald summation, in which the slowly conditionally
1031 > convergent Coulomb potential is transformed into direct and
1032 > reciprocal sums with rapid and absolute convergence, has proved to
1033 > minimize the periodicity artifacts in liquid simulations. Taking the
1034 > advantages of the fast Fourier transform (FFT) for calculating
1035 > discrete Fourier transforms, the particle mesh-based methods are
1036 > accelerated from $O(N^{3/2})$ to $O(N logN)$. An alternative
1037 > approach is \emph{fast multipole method}, which treats Coulombic
1038 > interaction exactly at short range, and approximate the potential at
1039 > long range through multipolar expansion. In spite of their wide
1040 > acceptances at the molecular simulation community, these two methods
1041 > are hard to be implemented correctly and efficiently. Instead, we
1042 > use a damped and charge-neutralized Coulomb potential method
1043 > developed by Wolf and his coworkers. The shifted Coulomb potential
1044 > for particle $i$ and particle $j$ at distance $r_{rj}$ is given by:
1045   \begin{equation}
1046   V(r_{ij})= \frac{q_i q_j \textrm{erfc}(\alpha
1047   r_{ij})}{r_{ij}}-\lim_{r_{ij}\rightarrow
# Line 1238 | Line 1236 | Q^T Q = 1$, \label{introEquation:orthogonalConstraint}
1236   where $I_{ii}$ is the diagonal element of the inertia tensor. This
1237   constrained Hamiltonian equation subjects to a holonomic constraint,
1238   \begin{equation}
1239 < Q^T Q = 1$, \label{introEquation:orthogonalConstraint}
1239 > Q^T Q = 1, \label{introEquation:orthogonalConstraint}
1240   \end{equation}
1241   which is used to ensure rotation matrix's orthogonality.
1242   Differentiating \ref{introEquation:orthogonalConstraint} and using
# Line 1263 | Line 1261 | simply evolve the system in constraint manifold. The t
1261   In general, there are two ways to satisfy the holonomic constraints.
1262   We can use constraint force provided by lagrange multiplier on the
1263   normal manifold to keep the motion on constraint space. Or we can
1264 < simply evolve the system in constraint manifold. The two method are
1265 < proved to be equivalent. The holonomic constraint and equations of
1266 < motions define a constraint manifold for rigid body
1264 > simply evolve the system in constraint manifold. These two methods
1265 > are proved to be equivalent. The holonomic constraint and equations
1266 > of motions define a constraint manifold for rigid body
1267   \[
1268   M = \left\{ {(Q,P):Q^T Q = 1,Q^T PJ^{ - 1}  + J^{ - 1} P^T Q = 0}
1269   \right\}.
# Line 1478 | Line 1476 | kinetic energy are listed in the below table,
1476   \]
1477   The equations of motion corresponding to potential energy and
1478   kinetic energy are listed in the below table,
1479 + \begin{table}
1480 + \caption{Equations of motion due to Potential and Kinetic Energies}
1481   \begin{center}
1482   \begin{tabular}{|l|l|}
1483    \hline
# Line 1490 | Line 1490 | A second-order symplectic method is now obtained by th
1490    \hline
1491   \end{tabular}
1492   \end{center}
1493 < A second-order symplectic method is now obtained by the composition
1494 < of the flow maps,
1493 > \end{table}
1494 > A second-order symplectic method is now obtained by the
1495 > composition of the flow maps,
1496   \[
1497   \varphi _{\Delta t}  = \varphi _{\Delta t/2,V}  \circ \varphi
1498   _{\Delta t,T}  \circ \varphi _{\Delta t/2,V}.
# Line 1787 | Line 1788 | Equation, \zeta can be taken as a scalar. In general,
1788   when the system become more and more complicate. Instead, various
1789   approaches based on hydrodynamics have been developed to calculate
1790   the friction coefficients. The friction effect is isotropic in
1791 < Equation, \zeta can be taken as a scalar. In general, friction
1792 < tensor \Xi is a $6\times 6$ matrix given by
1791 > Equation, $\zeta$ can be taken as a scalar. In general, friction
1792 > tensor $\Xi$ is a $6\times 6$ matrix given by
1793   \[
1794   \Xi  = \left( {\begin{array}{*{20}c}
1795     {\Xi _{}^{tt} } & {\Xi _{}^{rt} }  \\

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