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# Line 93 | Line 93 | the kinetic, $K$, and potential energies, $U$ \cite{to
93   The actual trajectory, along which a dynamical system may move from
94   one point to another within a specified time, is derived by finding
95   the path which minimizes the time integral of the difference between
96 < the kinetic, $K$, and potential energies, $U$ \cite{tolman79}.
96 > the kinetic, $K$, and potential energies, $U$ \cite{Tolman1979}.
97   \begin{equation}
98   \delta \int_{t_1 }^{t_2 } {(K - U)dt = 0} ,
99   \label{introEquation:halmitonianPrinciple1}
# Line 189 | Line 189 | known as the canonical equations of motions \cite{Gold
189   Eq.~\ref{introEquation:motionHamiltonianCoordinate} and
190   Eq.~\ref{introEquation:motionHamiltonianMomentum} are Hamilton's
191   equation of motion. Due to their symmetrical formula, they are also
192 < known as the canonical equations of motions \cite{Goldstein01}.
192 > known as the canonical equations of motions \cite{Goldstein2001}.
193  
194   An important difference between Lagrangian approach and the
195   Hamiltonian approach is that the Lagrangian is considered to be a
# Line 200 | Line 200 | equations\cite{Marion90}.
200   appropriate for application to statistical mechanics and quantum
201   mechanics, since it treats the coordinate and its time derivative as
202   independent variables and it only works with 1st-order differential
203 < equations\cite{Marion90}.
203 > equations\cite{Marion1990}.
204  
205   In Newtonian Mechanics, a system described by conservative forces
206   conserves the total energy \ref{introEquation:energyConservation}.
# Line 470 | Line 470 | statistical ensemble are identical \cite{Frenkel1996,
470   many-body system in Statistical Mechanics. Fortunately, Ergodic
471   Hypothesis is proposed to make a connection between time average and
472   ensemble average. It states that time average and average over the
473 < statistical ensemble are identical \cite{Frenkel1996, leach01:mm}.
473 > statistical ensemble are identical \cite{Frenkel1996, Leach2001}.
474   \begin{equation}
475   \langle A(q , p) \rangle_t = \mathop {\lim }\limits_{t \to \infty }
476   \frac{1}{t}\int\limits_0^t {A(q(t),p(t))dt = \int\limits_\Gamma
# Line 484 | Line 484 | reasonable, the Monte Carlo techniques\cite{metropolis
484   a properly weighted statistical average. This allows the researcher
485   freedom of choice when deciding how best to measure a given
486   observable. In case an ensemble averaged approach sounds most
487 < reasonable, the Monte Carlo techniques\cite{metropolis:1949} can be
487 > reasonable, the Monte Carlo techniques\cite{Metropolis1949} can be
488   utilized. Or if the system lends itself to a time averaging
489   approach, the Molecular Dynamics techniques in
490   Sec.~\ref{introSection:molecularDynamics} will be the best
# Line 498 | Line 498 | issue. The velocity verlet method, which happens to be
498   within the equations. Since 1990, geometric integrators, which
499   preserve various phase-flow invariants such as symplectic structure,
500   volume and time reversal symmetry, are developed to address this
501 < issue. The velocity verlet method, which happens to be a simple
502 < example of symplectic integrator, continues to gain its popularity
503 < in molecular dynamics community. This fact can be partly explained
504 < by its geometric nature.
501 > issue\cite{}. The velocity verlet method, which happens to be a
502 > simple example of symplectic integrator, continues to gain its
503 > popularity in molecular dynamics community. This fact can be partly
504 > explained by its geometric nature.
505  
506   \subsection{\label{introSection:symplecticManifold}Symplectic Manifold}
507   A \emph{manifold} is an abstract mathematical space. It locally
# Line 708 | Line 708 | the system\cite{Tuckerman92}.
708   implementing the Runge-Kutta methods, they do not attract too much
709   attention from Molecular Dynamics community. Instead, splitting have
710   been widely accepted since they exploit natural decompositions of
711 < the system\cite{Tuckerman92}.
711 > the system\cite{Tuckerman1992}.
712  
713   \subsubsection{\label{introSection:splittingMethod}Splitting Method}
714  
# Line 1102 | Line 1102 | integrating over the surface factor \cite{Powles73}. T
1102   function}, is of most fundamental importance to liquid-state theory.
1103   Pair distribution function can be gathered by Fourier transforming
1104   raw data from a series of neutron diffraction experiments and
1105 < integrating over the surface factor \cite{Powles73}. The experiment
1106 < result can serve as a criterion to justify the correctness of the
1107 < theory. Moreover, various equilibrium thermodynamic and structural
1108 < properties can also be expressed in terms of radial distribution
1109 < function \cite{allen87:csl}.
1105 > integrating over the surface factor \cite{Powles1973}. The
1106 > experiment result can serve as a criterion to justify the
1107 > correctness of the theory. Moreover, various equilibrium
1108 > thermodynamic and structural properties can also be expressed in
1109 > terms of radial distribution function \cite{Allen1987}.
1110  
1111   A pair distribution functions $g(r)$ gives the probability that a
1112   particle $i$ will be located at a distance $r$ from a another
# Line 1184 | Line 1184 | protein-protein docking study{\cite{Gray03}}.
1184   movement of the objects in 3D gaming engine or other physics
1185   simulator is governed by the rigid body dynamics. In molecular
1186   simulation, rigid body is used to simplify the model in
1187 < protein-protein docking study{\cite{Gray03}}.
1187 > protein-protein docking study{\cite{Gray2003}}.
1188  
1189   It is very important to develop stable and efficient methods to
1190   integrate the equations of motion of orientational degrees of
# Line 1889 | Line 1889 | unique\cite{Wegener79} as well as the intrinsic coupli
1889   hydrodynamic properties of rigid bodies. However, since the mapping
1890   from all possible ellipsoidal space, $r$-space, to all possible
1891   combination of rotational diffusion coefficients, $D$-space is not
1892 < unique\cite{Wegener79} as well as the intrinsic coupling between
1892 > unique\cite{Wegener1979} as well as the intrinsic coupling between
1893   translational and rotational motion of rigid body\cite{}, general
1894   ellipsoid is not always suitable for modeling arbitrarily shaped
1895   rigid molecule. A number of studies have been devoted to determine

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