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Quadratic displacement function

It is evident that, for the identification of the Uj coefficients, we have to determine the minimum of the quadratic displacement function between the measured and computed values of the dependent variable ... [Pg.364]

Sikorsky and Romiszowski [172,173] have recently presented a dynamic MC study of a three-arm star chain on a simple cubic lattice. The quadratic displacement of single beads was analyzed in this investigation. It essentially agrees with the predictions of the Rouse theory [21], with an initial t scale, followed by a broad crossover and a subsequent t dependence. The center of masses displacement yields the self-diffusion coefficient, compatible with the Rouse behavior, Eqs. (27) and (36). The time-correlation function of the end-to-end vector follows the expected dependence with chain length in the EV regime without HI consistent with the simulation model, i.e., the relaxation time is proportional to l i+2v The same scaling law is obtained for the correlation of the angle formed by two arms. Therefore, the model seems to reproduce adequately the main features for the dynamics of star chains, as expected from the Rouse theory. A sim-... [Pg.94]

For the displacements, biquadratic shape functions have been used. Bilinear and bi-quadratic shape functions have been used for the pore water pressure in Simulation... [Pg.301]

This equation is the equivalent of Eq. (9-12) for the induced dipole model but has one important difference. Equation (9-13), the derivative of Eq. (9-12), is linear and standard matrix methods can be used to solve for the p. because Eq. (9-12) is a quadratic function of p , while Eq. (9-54) is not a quadratic function of d and thus matrix methods are usually not used to find the Drude particle displacements that minimize the energy. [Pg.239]

The Hamiltonian function for a system of bound harmonic oscillators is, in the most general form, a sum of two positively definite quadratic forms composed of the particle momentum vectors and the Cartesian projections of particle displacements about equilibrium positions ... [Pg.127]

Most spectroscopic properties are related to second derivatives of the total energy. As a simple illustrative example, vibrational modes, which arise from the harmonic oscillations of atoms around their equilibrium positions, are characterized by the quadratic variation of the total energy as a function of the atomic displacements SRy... [Pg.23]

If the potential is approximated as a quadratic function of the bond displacement x = r-re expanded about the point at which V is minimum ... [Pg.35]

Fig. 4. Autocorrelation functions plotted versus time for the spectra described in Fig. 3. The autocorrelation function shown by the middle curve corresponds to the reference spectrum (Fig. 3a), k.j, = Ocm-1, the autocorrelation function shown by the lowest curve corresponds to a positive displacement in the quadratically coupled potential surface, and the autocorrelation function shown by the top curve corresponds to a negative displacement in the quadratically coupled potential surface... Fig. 4. Autocorrelation functions plotted versus time for the spectra described in Fig. 3. The autocorrelation function shown by the middle curve corresponds to the reference spectrum (Fig. 3a), k.j, = Ocm-1, the autocorrelation function shown by the lowest curve corresponds to a positive displacement in the quadratically coupled potential surface, and the autocorrelation function shown by the top curve corresponds to a negative displacement in the quadratically coupled potential surface...
Fig. 2 Positional detection and mean-square displacement (MSD). (a) The x, y-coordinates of a particle at a certain time point are derived from its diffraction limited spot by fitting a 2D-Gaussian function to its intensity profile. In this way, a positional accuracy far below the optical resolution is obtained, (b) The figure depicts a simplified scheme for the analysis of a trajectory and the corresponding plot of the time dependency of the MSD. The average of all steps within the trajectory for each time-lag At, with At = z, At = 2z,... (where z = acquisition time interval from frame to frame) gives a point in the plot of MSD = f(t). (c) The time dependence of the MSD allows the classification of several modes of motion by evaluating the best fit of the MSD plot to one of the four formulas. A linear plot indicates normal diffusion and can be described by = ADAt (D = diffusion coefficient). A quadratic dependence of on At indicates directed motion and can be fitted by = v2At2 + ADAt (v = mean velocity). An asymptotic behavior for larger At with = [1 - exp (—AA2DAt/)] indicates confined diffusion. Anomalous diffusion is indicated by a best fit with = ADAf and a < 1 (sub-diffusive)... Fig. 2 Positional detection and mean-square displacement (MSD). (a) The x, y-coordinates of a particle at a certain time point are derived from its diffraction limited spot by fitting a 2D-Gaussian function to its intensity profile. In this way, a positional accuracy far below the optical resolution is obtained, (b) The figure depicts a simplified scheme for the analysis of a trajectory and the corresponding plot of the time dependency of the MSD. The average of all steps within the trajectory for each time-lag At, with At = z, At = 2z,... (where z = acquisition time interval from frame to frame) gives a point in the plot of MSD = f(t). (c) The time dependence of the MSD allows the classification of several modes of motion by evaluating the best fit of the MSD plot to one of the four formulas. A linear plot indicates normal diffusion and can be described by <r2> = ADAt (D = diffusion coefficient). A quadratic dependence of <r2> on At indicates directed motion and can be fitted by <r2> = v2At2 + ADAt (v = mean velocity). An asymptotic behavior for larger At with <r2> = <rc2> [1 - exp (—AA2DAt/<rc2>)] indicates confined diffusion. Anomalous diffusion is indicated by a best fit with <r2> = ADAf and a < 1 (sub-diffusive)...
The solution to Eq. (1.6) for the electronic energy in, e.g., a diatomic molecule is well known. In this case there is only one internuclear coordinate and the electronic energy, Ei(R), is consequently represented by a curve as a function of the internuclear distance. For small displacements around the equilibrium bond length R = Ro, the curve can be represented by a quadratic function. Thus, when we expand to second order around a minimum at R = Ro,... [Pg.7]

Let us consider a crystal of N unit cells, each one containing a nuclei. In the expansion of the electronic energy in powers of nuclear displacements around their equilibrium positions at T = 0, the linear term vanishes. It is usual to make the harmonic approximation, keeping only the quadratic terms. Then the crystal hamiltonian is expressed as a function of the momentum P a, of the mass mnt, and of the position rM of each nucleus hoc (n indexes the cell and a the coordinate) ... [Pg.35]

Suppose that the energy is a quadratic function of displacement coordinates, so that we may express it as... [Pg.137]

Dq is proportional to the average quartic radial displacement of the d electrons. In cubic molecules, as we have seen, the energy separations are functions, at least as far as the crystal field potential is concerned, only of this fourth power radius. In non-cubic molecules, however, the energy separations may also be functions of the average quadratic radial displacement of the d electrons (3, 6, 10, 19, 35), and under such circumstances Dq is not so readily evaluated. [Pg.439]

To understand the complete role of vibration in determining electrical properties, it is useful to consider a diatomic molecule in the harmonic oscillator approximation, where the stretching potential is taken to be quadratic in the displacement coordinate. The doubly harmonic model takes the various electrical properties to be linear functions of the coordinate. This turns out to be most reasonable in the vicinity of an equilibrium structure, but it breaks down at long separations. Letting x be a coordinate giving the displacement from equilibrium of a one-dimensional harmonic oscillator, the dipole moment, dipole polarizability, and dipole hyperpolarizability, within the doubly harmonic (dh) model, may be written in the following way ... [Pg.88]

Figure 27.6b shows the trajectory of an individual synthetic virus during such an internalization process [29] (Movie, see supplementary material of [29]). Three different phases can be identified In phase I, binding to the plasma membrane is followed by a slow movement with drift, which can be deduced from the quadratic dependence of the mean square displacement as a function of time. Furthermore, a strong correlation between neighboring particles is seen and subsequent internalization is observed, and can be proven by quenching experiments. During this phase, the particles are subjected to actin-driven processes mediated by transmembrane proteins. Phase II is characterized by a sudden increase in particle velocity and random movement, often followed by confined movement. [Pg.549]

Table 3. The One-Dimensional Ring Puckering Function for Cyclobutanone. Quartic and Quadratic Coefficients, Barrier Heights and Equilibrium Displacements, in cm 1 and A. Table 3. The One-Dimensional Ring Puckering Function for Cyclobutanone. Quartic and Quadratic Coefficients, Barrier Heights and Equilibrium Displacements, in cm 1 and A.
Example Spatial Oscillator.—A massive particle is restrained by any set of forces in a position of stable equilibrium (t.g. a light atom in a molecule otherwise consisting of heavy, and therefore relatively immovable atoms). The potential eneigy is then, for small displacement, a positive definite quadratic function of the displacement components. The axes of the co-ordinate system (x, y, z) can always be chosen to lie along the principal axes of the ellipsoid corresponding to this quadratic form. The Hamiltonian function is then... [Pg.77]


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