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1   \chapter{\label{chapt:introduction}INTRODUCTION AND THEORETICAL BACKGROUND}
2  
3 \section{\label{introSection:molecularDynamics}Molecular Dynamics}
4
5 As a special discipline of molecular modeling, Molecular dynamics
6 has proven to be a powerful tool for studying the functions of
7 biological systems, providing structural, thermodynamic and
8 dynamical information.
9
3   \section{\label{introSection:classicalMechanics}Classical
4   Mechanics}
5  
# Line 22 | Line 15 | sufficient to predict the future behavior of the syste
15   sufficient to predict the future behavior of the system.
16  
17   \subsection{\label{introSection:newtonian}Newtonian Mechanics}
18 + The discovery of Newton's three laws of mechanics which govern the
19 + motion of particles is the foundation of the classical mechanics.
20 + Newton¡¯s first law defines a class of inertial frames. Inertial
21 + frames are reference frames where a particle not interacting with
22 + other bodies will move with constant speed in the same direction.
23 + With respect to inertial frames Newton¡¯s second law has the form
24 + \begin{equation}
25 + F = \frac {dp}{dt} = \frac {mv}{dt}
26 + \label{introEquation:newtonSecondLaw}
27 + \end{equation}
28 + A point mass interacting with other bodies moves with the
29 + acceleration along the direction of the force acting on it. Let
30 + $F_ij$ be the force that particle $i$ exerts on particle $j$, and
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
35 + \label{introEquation:newtonThirdLaw}
36 + \end{equation}
37  
38 + Conservation laws of Newtonian Mechanics play very important roles
39 + in solving mechanics problems. The linear momentum of a particle is
40 + conserved if it is free or it experiences no force. The second
41 + conservation theorem concerns the angular momentum of a particle.
42 + The angular momentum $L$ of a particle with respect to an origin
43 + from which $r$ is measured is defined to be
44 + \begin{equation}
45 + L \equiv r \times p \label{introEquation:angularMomentumDefinition}
46 + \end{equation}
47 + The torque $\tau$ with respect to the same origin is defined to be
48 + \begin{equation}
49 + N \equiv r \times F \label{introEquation:torqueDefinition}
50 + \end{equation}
51 + Differentiating Eq.~\ref{introEquation:angularMomentumDefinition},
52 + \[
53 + \dot L = \frac{d}{{dt}}(r \times p) = (\dot r \times p) + (r \times
54 + \dot p)
55 + \]
56 + since
57 + \[
58 + \dot r \times p = \dot r \times mv = m\dot r \times \dot r \equiv 0
59 + \]
60 + thus,
61 + \begin{equation}
62 + \dot L = r \times \dot p = N
63 + \end{equation}
64 + If there are no external torques acting on a body, the angular
65 + momentum of it is conserved. The last conservation theorem state
66 + that if all forces are conservative, Energy $E = T + V$ is
67 + conserved. All of these conserved quantities are important factors
68 + to determine the quality of numerical integration scheme for rigid
69 + body \cite{Dullweber1997}.
70 +
71   \subsection{\label{introSection:lagrangian}Lagrangian Mechanics}
72  
73   Newtonian Mechanics suffers from two important limitations: it
# Line 36 | Line 81 | system, alternative procedures may be developed.
81   which arise in attempts to apply Newton's equation to complex
82   system, alternative procedures may be developed.
83  
84 < \subsection{\label{introSection:halmiltonPrinciple}Hamilton's
84 > \subsubsection{\label{introSection:halmiltonPrinciple}Hamilton's
85   Principle}
86  
87   Hamilton introduced the dynamical principle upon which it is
# Line 46 | Line 91 | the path which minimizes the time integral of the diff
91   The actual trajectory, along which a dynamical system may move from
92   one point to another within a specified time, is derived by finding
93   the path which minimizes the time integral of the difference between
94 < the kinetic, $K$, and potential energies, $U$.
94 > the kinetic, $K$, and potential energies, $U$ \cite{tolman79}.
95   \begin{equation}
96   \delta \int_{t_1 }^{t_2 } {(K - U)dt = 0} ,
97   \label{introEquation:halmitonianPrinciple1}
# Line 67 | Line 112 | then Eq.~\ref{introEquation:halmitonianPrinciple1} bec
112   \label{introEquation:halmitonianPrinciple2}
113   \end{equation}
114  
115 < \subsection{\label{introSection:equationOfMotionLagrangian}The
115 > \subsubsection{\label{introSection:equationOfMotionLagrangian}The
116   Equations of Motion in Lagrangian Mechanics}
117  
118   for a holonomic system of $f$ degrees of freedom, the equations of
# Line 142 | Line 187 | equation of motion. Due to their symmetrical formula,
187   Eq.~\ref{introEquation:motionHamiltonianCoordinate} and
188   Eq.~\ref{introEquation:motionHamiltonianMomentum} are Hamilton's
189   equation of motion. Due to their symmetrical formula, they are also
190 < known as the canonical equations of motions.
190 > known as the canonical equations of motions \cite{Goldstein01}.
191  
192   An important difference between Lagrangian approach and the
193   Hamiltonian approach is that the Lagrangian is considered to be a
# Line 153 | Line 198 | independent variables and it only works with 1st-order
198   appropriate for application to statistical mechanics and quantum
199   mechanics, since it treats the coordinate and its time derivative as
200   independent variables and it only works with 1st-order differential
201 < equations.
201 > equations\cite{Marion90}.
202  
203 < \subsection{\label{introSection:poissonBrackets}Poisson Brackets}
203 > When studying Hamiltonian system, it is more convenient to use
204 > notation
205 > \begin{equation}
206 > r = r(q,p)^T
207 > \end{equation}
208 > and to introduce a $2n \times 2n$ canonical structure matrix $J$,
209 > \begin{equation}
210 > J = \left( {\begin{array}{*{20}c}
211 >   0 & I  \\
212 >   { - I} & 0  \\
213 > \end{array}} \right)
214 > \label{introEquation:canonicalMatrix}
215 > \end{equation}
216 > Thus, Hamiltonian system can be rewritten as,
217 > \begin{equation}
218 > \frac{d}{{dt}}r = J\nabla _r H(r)
219 > \label{introEquation:compactHamiltonian}
220 > \end{equation}
221 > where $I$ is an identity matrix and $J$ is a skew-symmetrix matrix
222 > ($ J^T  =  - J $).
223  
224 < \subsection{\label{introSection:canonicalTransformation}Canonical
224 > %\subsection{\label{introSection:canonicalTransformation}Canonical
225   Transformation}
226  
227 + \section{\label{introSection:geometricIntegratos}Geometric Integrators}
228 +
229 + \subsection{\label{introSection:symplecticMaps}Symplectic Maps and Methods}
230 +
231 + \subsection{\label{Construction of Symplectic Methods}}
232 +
233   \section{\label{introSection:statisticalMechanics}Statistical
234   Mechanics}
235  
236 < The thermodynamic behaviors and properties  of Molecular Dynamics
236 > The thermodynamic behaviors and properties of Molecular Dynamics
237   simulation are governed by the principle of Statistical Mechanics.
238   The following section will give a brief introduction to some of the
239   Statistical Mechanics concepts presented in this dissertation.
# Line 172 | Line 242 | Statistical Mechanics concepts presented in this disse
242  
243   \subsection{\label{introSection:ergodic}The Ergodic Hypothesis}
244  
245 +
246 + \section{\label{introSection:molecularDynamics}Molecular Dynamics}
247 +
248 + As a special discipline of molecular modeling, Molecular dynamics
249 + has proven to be a powerful tool for studying the functions of
250 + biological systems, providing structural, thermodynamic and
251 + dynamical information.
252 +
253 + \subsection{\label{introSec:mdInit}Initialization}
254 +
255 + \subsection{\label{introSection:mdIntegration} Integration of the Equations of Motion}
256 +
257   \section{\label{introSection:rigidBody}Dynamics of Rigid Bodies}
258  
259 + A rigid body is a body in which the distance between any two given
260 + points of a rigid body remains constant regardless of external
261 + forces exerted on it. A rigid body therefore conserves its shape
262 + during its motion.
263 +
264 + Applications of dynamics of rigid bodies.
265 +
266 +
267 + %\subsection{\label{introSection:poissonBrackets}Poisson Brackets}
268 +
269   \section{\label{introSection:correlationFunctions}Correlation Functions}
270  
271   \section{\label{introSection:langevinDynamics}Langevin Dynamics}

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