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# Line 31 | Line 31 | F_{ij} = -F_{ji}
31   $F_{ji}$ be the force that particle $j$ exerts on particle $i$.
32   Newton's third law states that
33   \begin{equation}
34 < F_{ij} = -F_{ji}
34 > F_{ij} = -F_{ji}.
35   \label{introEquation:newtonThirdLaw}
36   \end{equation}
37
37   Conservation laws of Newtonian Mechanics play very important roles
38   in solving mechanics problems. The linear momentum of a particle is
39   conserved if it is free or it experiences no force. The second
# Line 85 | Line 84 | Hamilton's Principle may be stated as follows,
84  
85   Hamilton introduced the dynamical principle upon which it is
86   possible to base all of mechanics and most of classical physics.
87 < Hamilton's Principle may be stated as follows,
88 <
89 < The actual trajectory, along which a dynamical system may move from
90 < one point to another within a specified time, is derived by finding
91 < the path which minimizes the time integral of the difference between
93 < the kinetic, $K$, and potential energies, $U$.
87 > Hamilton's Principle may be stated as follows: the actual
88 > trajectory, along which a dynamical system may move from one point
89 > to another within a specified time, is derived by finding the path
90 > which minimizes the time integral of the difference between the
91 > kinetic, $K$, and potential energies, $U$.
92   \begin{equation}
93   \delta \int_{t_1 }^{t_2 } {(K - U)dt = 0} ,
94   \label{introEquation:halmitonianPrinciple1}
95   \end{equation}
98
96   For simple mechanical systems, where the forces acting on the
97   different parts are derivable from a potential, the Lagrangian
98   function $L$ can be defined as the difference between the kinetic
# Line 138 | Line 135 | p_i  = \frac{{\partial L}}{{\partial q_i }}
135   p_i  = \frac{{\partial L}}{{\partial q_i }}
136   \label{introEquation:generalizedMomentaDot}
137   \end{equation}
141
138   With the help of the generalized momenta, we may now define a new
139   quantity $H$ by the equation
140   \begin{equation}
# Line 146 | Line 142 | $L$ is the Lagrangian function for the system.
142   \label{introEquation:hamiltonianDefByLagrangian}
143   \end{equation}
144   where $ \dot q_1  \ldots \dot q_f $ are generalized velocities and
145 < $L$ is the Lagrangian function for the system.
146 <
151 < Differentiating Eq.~\ref{introEquation:hamiltonianDefByLagrangian},
152 < one can obtain
145 > $L$ is the Lagrangian function for the system. Differentiating
146 > Eq.~\ref{introEquation:hamiltonianDefByLagrangian}, one can obtain
147   \begin{equation}
148   dH = \sum\limits_k {\left( {p_k d\dot q_k  + \dot q_k dp_k  -
149   \frac{{\partial L}}{{\partial q_k }}dq_k  - \frac{{\partial
# Line 180 | Line 174 | t}}
174   t}}
175   \label{introEquation:motionHamiltonianTime}
176   \end{equation}
183
177   Eq.~\ref{introEquation:motionHamiltonianCoordinate} and
178   Eq.~\ref{introEquation:motionHamiltonianMomentum} are Hamilton's
179   equation of motion. Due to their symmetrical formula, they are also
# Line 288 | Line 281 | thermodynamic equilibrium.
281   statistical characteristics. As a function of macroscopic
282   parameters, such as temperature \textit{etc}, the partition function
283   can be used to describe the statistical properties of a system in
284 < thermodynamic equilibrium.
285 <
286 < As an ensemble of systems, each of which is known to be thermally
294 < isolated and conserve energy, the Microcanonical ensemble (NVE) has
295 < a partition function like,
284 > thermodynamic equilibrium. As an ensemble of systems, each of which
285 > is known to be thermally isolated and conserve energy, the
286 > Microcanonical ensemble (NVE) has a partition function like,
287   \begin{equation}
288   \Omega (N,V,E) = e^{\beta TS} \label{introEquation:NVEPartition}.
289   \end{equation}
# Line 587 | Line 578 | them can be found in systems which occur naturally in
578   The hidden geometric properties\cite{Budd1999, Marsden1998} of an
579   ODE and its flow play important roles in numerical studies. Many of
580   them can be found in systems which occur naturally in applications.
590
581   Let $\varphi$ be the flow of Hamiltonian vector field, $\varphi$ is
582   a \emph{symplectic} flow if it satisfies,
583   \begin{equation}
# Line 601 | Line 591 | is the property that must be preserved by the integrat
591   \begin{equation}
592   {\varphi '}^T J \varphi ' = J \circ \varphi
593   \end{equation}
594 < is the property that must be preserved by the integrator.
595 <
596 < It is possible to construct a \emph{volume-preserving} flow for a
597 < source free ODE ($ \nabla \cdot f = 0 $), if the flow satisfies $
598 < \det d\varphi  = 1$. One can show easily that a symplectic flow will
609 < be volume-preserving.
610 <
611 < Changing the variables $y = h(x)$ in an ODE
594 > is the property that must be preserved by the integrator. It is
595 > possible to construct a \emph{volume-preserving} flow for a source
596 > free ODE ($ \nabla \cdot f = 0 $), if the flow satisfies $ \det
597 > d\varphi  = 1$. One can show easily that a symplectic flow will be
598 > volume-preserving. Changing the variables $y = h(x)$ in an ODE
599   (Eq.~\ref{introEquation:ODE}) will result in a new system,
600   \[
601   \dot y = \tilde f(y) = ((dh \cdot f)h^{ - 1} )(y).
602   \]
603   The vector filed $f$ has reversing symmetry $h$ if $f = - \tilde f$.
604   In other words, the flow of this vector field is reversible if and
605 < only if $ h \circ \varphi ^{ - 1}  = \varphi  \circ h $.
606 <
620 < A \emph{first integral}, or conserved quantity of a general
605 > only if $ h \circ \varphi ^{ - 1}  = \varphi  \circ h $. A
606 > \emph{first integral}, or conserved quantity of a general
607   differential function is a function $ G:R^{2d}  \to R^d $ which is
608   constant for all solutions of the ODE $\frac{{dx}}{{dt}} = f(x)$ ,
609   \[
# Line 630 | Line 616 | smooth function $G$ is given by,
616   which is the condition for conserving \emph{first integral}. For a
617   canonical Hamiltonian system, the time evolution of an arbitrary
618   smooth function $G$ is given by,
633
619   \begin{eqnarray}
620   \frac{{dG(x(t))}}{{dt}} & = & [\nabla _x G(x(t))]^T \dot x(t) \\
621                          & = & [\nabla _x G(x(t))]^T J\nabla _x H(x(t)). \\
622   \label{introEquation:firstIntegral1}
623   \end{eqnarray}
639
640
624   Using poisson bracket notion, Equation
625   \ref{introEquation:firstIntegral1} can be rewritten as
626   \[
# Line 650 | Line 633 | is a \emph{first integral}, which is due to the fact $
633   \]
634   As well known, the Hamiltonian (or energy) H of a Hamiltonian system
635   is a \emph{first integral}, which is due to the fact $\{ H,H\}  =
636 < 0$.
654 <
655 < When designing any numerical methods, one should always try to
636 > 0$. When designing any numerical methods, one should always try to
637   preserve the structural properties of the original ODE and its flow.
638  
639   \subsection{\label{introSection:constructionSymplectic}Construction of Symplectic Methods}
# Line 693 | Line 674 | simpler integration of the system.
674   \label{introEquation:FlowDecomposition}
675   \end{equation}
676   where each of the sub-flow is chosen such that each represent a
677 < simpler integration of the system.
678 <
698 < Suppose that a Hamiltonian system takes the form,
677 > simpler integration of the system. Suppose that a Hamiltonian system
678 > takes the form,
679   \[
680   H = H_1 + H_2.
681   \]

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