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1   \chapter{\label{chapt:introduction}INTRODUCTION AND THEORETICAL BACKGROUND}
2  
3 < \section{\label{introSection:classicalMechanics}Classical Mechanics}
3 > \section{\label{introSection:molecularDynamics}Molecular Dynamics}
4  
5 < \section{\label{introSection:rigidBody}Dynamics of Rigid Bodies}
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  
10 < \section{\label{introSection:statisticalMechanics}Statistical Mechanics}
10 > \subsection{\label{introSection:classicalMechanics}Classical Mechanics}
11  
12 < \section{\label{introSection:molecularDynamics}Molecular Dynamics}
12 > Closely related to Classical Mechanics, Molecular Dynamics
13 > simulations are carried out by integrating the equations of motion
14 > for a given system of particles. There are three fundamental ideas
15 > behind classical mechanics. Firstly, One can determine the state of
16 > a mechanical system at any time of interest; Secondly, all the
17 > mechanical properties of the system at that time can be determined
18 > by combining the knowledge of the properties of the system with the
19 > specification of this state; Finally, the specification of the state
20 > when further combine with the laws of mechanics will also be
21 > sufficient to predict the future behavior of the system.
22  
23 + \subsubsection{\label{introSection:newtonian}Newtonian Mechanics}
24 +
25 + \subsubsection{\label{introSection:lagrangian}Lagrangian Mechanics}
26 +
27 + Newtonian Mechanics suffers from two important limitations: it
28 + describes their motion in special cartesian coordinate systems.
29 + Another limitation of Newtonian mechanics becomes obvious when we
30 + try to describe systems with large numbers of particles. It becomes
31 + very difficult to predict the properties of the system by carrying
32 + out calculations involving the each individual interaction between
33 + all the particles, even if we know all of the details of the
34 + interaction. In order to overcome some of the practical difficulties
35 + which arise in attempts to apply Newton's equation to complex
36 + system, alternative procedures may be developed.
37 +
38 + \subsubsubsection{\label{introSection:halmiltonPrinciple}Hamilton's
39 + Principle}
40 +
41 + Hamilton introduced the dynamical principle upon which it is
42 + possible to base all of mechanics and, indeed, most of classical
43 + physics. Hamilton's Principle may be stated as follow,
44 +
45 + The actual trajectory, along which a dynamical system may move from
46 + one point to another within a specified time, is derived by finding
47 + the path which minimizes the time integral of the difference between
48 + the kinetic, $K$, and potential energies, $U$.
49 + \begin{equation}
50 + \delta \int_{t_1 }^{t_2 } {(K - U)dt = 0} ,
51 + \lable{introEquation:halmitonianPrinciple1}
52 + \end{equation}
53 +
54 + For simple mechanical systems, where the forces acting on the
55 + different part are derivable from a potential and the velocities are
56 + small compared with that of light, the Lagrangian function $L$ can
57 + be define as the difference between the kinetic energy of the system
58 + and its potential energy,
59 + \begin{equation}
60 + L \equiv K - U = L(q_i ,\dot q_i ) ,
61 + \label{introEquation:lagrangianDef}
62 + \end{equation}
63 + then Eq.~\ref{introEquation:halmitonianPrinciple1} becomes
64 + \begin{equation}
65 + \delta \int_{t_1 }^{t_2 } {K dt = 0} ,
66 + \lable{introEquation:halmitonianPrinciple2}
67 + \end{equation}
68 +
69 + \subsubsubsection{\label{introSection:equationOfMotionLagrangian}The
70 + Equations of Motion in Lagrangian Mechanics}
71 +
72 + for a holonomic system of $f$ degrees of freedom, the equations of
73 + motion in the Lagrangian form is
74 + \begin{equation}
75 + \frac{d}{{dt}}\frac{{\partial L}}{{\partial \dot q_i }} -
76 + \frac{{\partial L}}{{\partial q_i }} = 0,{\rm{ }}i = 1, \ldots,f
77 + \lable{introEquation:eqMotionLagrangian}
78 + \end{equation}
79 + where $q_{i}$ is generalized coordinate and $\dot{q_{i}}$ is
80 + generalized velocity.
81 +
82 + \subsubsection{\label{introSection:hamiltonian}Hamiltonian Mechanics}
83 +
84 + Arising from Lagrangian Mechanics, Hamiltonian Mechanics was
85 + introduced by William Rowan Hamilton in 1833 as a re-formulation of
86 + classical mechanics. If the potential energy of a system is
87 + independent of generalized velocities, the generalized momenta can
88 + be defined as
89 + \begin{equation}
90 + p_i = \frac{\partial L}{\partial \dot q_i}
91 + \label{introEquation:generalizedMomenta}
92 + \end{equation}
93 + With the help of these momenta, we may now define a new quantity $H$
94 + by the equation
95 + \begin{equation}
96 + H = p_1 \dot q_1  +  \ldots  + p_f \dot q_f  - L,
97 + \label{introEquation:hamiltonianDefByLagrangian}
98 + \end{equation}
99 + where $ \dot q_1  \ldots \dot q_f $ are generalized velocities and
100 + $L$ is the Lagrangian function for the system.
101 +
102 + An important difference between Lagrangian approach and the
103 + Hamiltonian approach is that the Lagrangian is considered to be a
104 + function of the generalized velocities $\dot q_i$ and the
105 + generalized coordinates $q_i$, while the Hamiltonian is considered
106 + to be a function of the generalized momenta $p_i$ and the conjugate
107 + generalized coordinate $q_i$. Hamiltonian Mechanics is more
108 + appropriate for application to statistical mechanics and quantum
109 + mechanics, since it treats the coordinate and its time derivative as
110 + independent variables and it only works with 1st-order differential
111 + equations.
112 +
113 +
114 + \subsubsection{\label{introSection:canonicalTransformation}Canonical Transformation}
115 +
116 + \subsection{\label{introSection:statisticalMechanics}Statistical Mechanics}
117 +
118 + The thermodynamic behaviors and properties  of Molecular Dynamics
119 + simulation are governed by the principle of Statistical Mechanics.
120 + The following section will give a brief introduction to some of the
121 + Statistical Mechanics concepts presented in this dissertation.
122 +
123 + \subsubsection{\label{introSection::ensemble}Ensemble}
124 +
125 + \subsubsection{\label{introSection:ergodic}The Ergodic Hypothesis}
126 +
127 + \subsection{\label{introSection:rigidBody}Dynamics of Rigid Bodies}
128 +
129 + \subsection{\label{introSection:correlationFunctions}Correlation Functions}
130 +
131   \section{\label{introSection:langevinDynamics}Langevin Dynamics}
132  
133 < \section{\label{introSection:hydroynamics}Hydrodynamics}
133 > \subsection{\label{introSection:generalizedLangevinDynamics}Generalized Langevin Dynamics}
134  
135 < \section{\label{introSection:correlationFunctions}Correlation Functions}
135 > \subsection{\label{introSection:hydroynamics}Hydrodynamics}

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