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Vector exponentiation

A more usual name is vector exponentiation however, there is not always a vector space, and it is useful to have ju in the name. [Pg.219]

A vector exponential integrator is used to solve Equations (1) and (2) with appropriate constraint equations. The constraints considered in the ATB program are fi) linear position constraint, (ii) angular joint constraint (locked joint, pinned joint),... [Pg.561]

The exponential fiinction of the matrix can be evaluated tln-ough the power series expansion of exp(). c is the coliinm vector whose elements are the concentrations c.. The matrix elements of the rate coefficient matrix K are the first-order rate constants W.. The system is called closed if all reactions and back reactions are included. Then K is of rank N- 1 with positive eigenvalues, of which exactly one is zero. It corresponds to the equilibrium state, witii concentrations r detennined by the principle of microscopic reversibility ... [Pg.790]

The problem is then reduced to the representation of the time-evolution operator [104,105]. For example, the Lanczos algorithm could be used to generate the eigenvalues of H, which can be used to set up the representation of the exponentiated operator. Again, the methods are based on matrix-vector operations, but now much larger steps are possible. [Pg.259]

Fig. 2. (a) Energy, E, versus wave vector, k, for free particle-like conduction band and valence band electrons (b) the corresponding density of available electron states, DOS, where Ep is Fermi energy (c) the Fermi-Dirac distribution, ie, the probabiUty P(E) that a state is occupied, where Kis the Boltzmann constant and Tis absolute temperature ia Kelvin. The tails of this distribution are exponential. The product of P(E) and DOS yields the energy distribution... [Pg.344]

The product of these two exponentials is equal to a third GTO situated at point C along the line of centres AB, as shown in Figure 9.1. The resultant GTO Gc(rc- is situated at the point C with position vector fc such that... [Pg.162]

It is expected to depend oidy on the vector distance 7) between the sites i and j and, away from the critical temperature Tc, to decay exponentially as j f j becomes large i.e. [Pg.334]

Hill et al. [117] extended the lower end of the temperature range studied (383—503 K) to investigate, in detail, the kinetic characteristics of the acceleratory period, which did not accurately obey eqn. (9). Behaviour varied with sample preparation. For recrystallized material, most of the acceleratory period showed an exponential increase of reaction rate with time (E = 155 kJ mole-1). Values of E for reaction at an interface and for nucleation within the crystal were 130 and 210 kJ mole-1, respectively. It was concluded that potential nuclei are not randomly distributed but are separated by a characteristic minimum distance, related to the Burgers vector of the dislocations present. Below 423 K, nucleation within crystals is very slow compared with decomposition at surfaces. Rate measurements are discussed with reference to absolute reaction rate theory. [Pg.191]

The transverse magnetization and the applied radiofrequency field will therefore periodically come in phase with one another, and then go out of phase. This causes a continuous variation of the magnetic field, which induces an alternating current in the receiver. Furthermore, the intensity of the signals does not remain constant but diminishes due to T and T2 relaxation effects. The detector therefore records both the exponential decay of the signal with time and the interference effects as the magnetization vectors and the applied radiofrequency alternately dephase and re-... [Pg.31]

All the other linear terms vanish because they have opposite parity to the flux, (x(r)x(r))0 = 0. (This last statement is only true if the vector has pure even or pure odd parity, x(T) = x(T j. The following results are restricted to this case.) The static average is the same as an equilibrium average to leading order. That is, it is supposed that the exponential may be linearized with respect to all the reservoir forces except the zeroth one, which is the temperature, X()r = 1 /T, and hence xofT) = Tffl j, the Hamiltonian. From the definition of the adiabatic change, the linear transport coefficient may be written... [Pg.43]

Photoelectrons that experience inelastic losses will not have the appropriate wave vector to contribute to the interference process. Such losses are taken into account by an exponential damping factor,... [Pg.280]

The mean concentration vector is found by assuming that the CSTR is homogeneous on large scales (i.e., well macromixed).101 Using the fact that the age distribution in a well macromixed CSTR is exponential,... [Pg.213]

Figure 16 Second Legendre polynomial of the CFI vector autocorrelation function for the sp3 cis-carbon (dashed lines) and the sp2 carbon in a trans-group next to a transgroup (dashed-dotted lines) for two different temperatures. The fit curves to the cis-correlation functions are a superposition of exponential and stretched exponential discussed in the text. Figure 16 Second Legendre polynomial of the CFI vector autocorrelation function for the sp3 cis-carbon (dashed lines) and the sp2 carbon in a trans-group next to a transgroup (dashed-dotted lines) for two different temperatures. The fit curves to the cis-correlation functions are a superposition of exponential and stretched exponential discussed in the text.
Such systems of differential equations are called homogeneous. They have as solutions, linear combinations of exponential functions, where the eigenvalues, Xi, of the matrix K are the exponentials. In the first, irreversible example, equation (5.34), the eigenvalues of K are Xi=-ki, X,2=-fe and X3=0. Thus, the concentration profiles are linear combinations of the vectors e-, where t is the vector of times. In matrix notation we can write... [Pg.254]

The above function is a one-center correlated Gaussian with exponential coefficients forming the symmetric matrix A]. <1) are rotationally invariant functions as required by the symmetry of the problem—that is, invariant with respect to any orthogonal transformation. To show the invariance, let U be any 3x3 orthogonal matrix (any proper or improper rotation in 3-space) that is applied to rotate the r vector in the 3-D space. Prove the invariance ... [Pg.396]


See other pages where Vector exponentiation is mentioned: [Pg.218]    [Pg.129]    [Pg.218]    [Pg.129]    [Pg.1502]    [Pg.1986]    [Pg.652]    [Pg.427]    [Pg.268]    [Pg.54]    [Pg.323]    [Pg.353]    [Pg.68]    [Pg.283]    [Pg.183]    [Pg.131]    [Pg.151]    [Pg.132]    [Pg.299]    [Pg.461]    [Pg.181]    [Pg.219]    [Pg.92]    [Pg.783]    [Pg.375]    [Pg.45]    [Pg.308]    [Pg.331]    [Pg.256]    [Pg.301]    [Pg.301]    [Pg.85]    [Pg.103]    [Pg.466]   
See also in sourсe #XX -- [ Pg.219 ]




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