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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 73 | Line 72 | can only be described in cartesian coordinate systems.
72   \subsection{\label{introSection:lagrangian}Lagrangian Mechanics}
73  
74   Newtonian Mechanics suffers from two important limitations: motions
75 < can only be described in cartesian coordinate systems. Moreover, It
76 < become impossible to predict analytically the properties of the
75 > can only be described in cartesian coordinate systems. Moreover, it
76 > becomes impossible to predict analytically the properties of the
77   system even if we know all of the details of the interaction. In
78   order to overcome some of the practical difficulties which arise in
79   attempts to apply Newton's equation to complex system, approximate
# 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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