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# Line 285 | Line 285 | was proposed by Metropolis et al.\cite{metropolis:1953
285   \end{equation}
286   The difficulty is selecting points $\mathbf{r}^N$ such that they are
287   sampled from the distribution $\rho_{kT}(\mathbf{r}^N)$.  A solution
288 < was proposed by Metropolis et al.\cite{metropolis:1953} which involved
288 > was proposed by Metropolis \emph{et al}.\cite{metropolis:1953} which involved
289   the use of a Markov chain whose limiting distribution was
290   $\rho_{kT}(\mathbf{r}^N)$.
291  
# Line 481 | Line 481 | addition, this sets that any given particle pair has a
481   simulation box on an infinite lattice in Cartesian space.  Any given
482   particle leaving the simulation box on one side will have an image of
483   itself enter on the opposite side (see Fig.~\ref{introFig:pbc}).  In
484 < addition, this sets that any given particle pair has an image, real or
485 < periodic, within $fix$ of each other.  A discussion of the method used
486 < to calculate the periodic image can be found in
484 > addition, this sets that any two particles have an image, real or
485 > periodic, within $\text{box}/2$ of each other.  A discussion of the
486 > method used to calculate the periodic image can be found in
487   Sec.\ref{oopseSec:pbc}.
488  
489   \begin{figure}
# Line 557 | Line 557 | Adding together Eq.~\ref{introEq:verletForward} and
557          \mathcal{O}(\Delta t^4)
558   \label{introEq:verletBack}
559   \end{equation}
560 < Adding together Eq.~\ref{introEq:verletForward} and
560 > Where $m$ is the mass of the particle, $q(t)$ is the position at time
561 > $t$, $v(t)$ the velocity, and $F(t)$ the force acting on the
562 > particle. Adding together Eq.~\ref{introEq:verletForward} and
563   Eq.~\ref{introEq:verletBack} results in,
564   \begin{equation}
565 < eq here
565 > q(t+\Delta t)+q(t-\Delta t) =
566 >        2q(t) + \frac{F(t)}{m}\Delta t^2 + \mathcal{O}(\Delta t^4)
567   \label{introEq:verletSum}
568   \end{equation}
569   Or equivalently,
570   \begin{equation}
571 < eq here
571 > q(t+\Delta t) =
572 >        2q(t) - q(t-\Delta t) + \frac{F(t)}{m}\Delta t^2 +
573 >        \mathcal{O}(\Delta t^4)
574   \label{introEq:verletFinal}
575   \end{equation}
576   Which contains an error in the estimate of the new positions on the
# Line 574 | Line 579 | eq here
579   In practice, however, the simulations in this research were integrated
580   with a velocity reformulation of the Verlet method.\cite{allen87:csl}
581   \begin{equation}
582 < eq here
582 > q(t+\Delta t)= q(t) + v(t)\Delta t + \frac{F(t)}{2m}\Delta t^2
583   \label{introEq:MDvelVerletPos}
584   \end{equation}
585   \begin{equation}
586 < eq here
586 > v(t+\Delta t) = v(t) + \frac{\Delta t}{2m}[F(t) + F(t+\Delta t)]
587   \label{introEq:MDvelVerletVel}
588   \end{equation}
589   The original Verlet algorithm can be regained by substituting the

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