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Variational Lagrangian

The remaining parts of the lagrangian L describe the free field and fi-ee particles, and are not needed here. The requirements of V are that under lagrangian variation of the fields (for fixed partiele variables) it should contribute the appropriate terms to the Maxwell equations, and that variation of the particle variables (for a fixed electromagnetic field) gives the Lorentz force on the particles. [Pg.170]

In these conditions, the field Lagrangian variation will be successively written... [Pg.107]

We thus obtain a Lagrangean density, whieh is equivalent to Eq. (149) for all solutions of the Dirac equation, and has the structure of the nonrelativistic Lagrangian density, Eq. (140). Its variational derivations with respect to v / and v / lead to the solutions shown in Eq. (152), as well as to other solutions. [Pg.163]

Frieden s theory is that any physical measurement induces a transformation of Fisher information J I connecting the phenomenon being measured to intrinsic data. What we call physics - i.e. our objective description of phenomenologically observed behavior - thus derives from the Extreme Physical Information (EPI) principle, which is a variational principle. EPI asserts that, if we define K = I — J as the net physical information, K is an extremum. If one accepts this EPI principle as the foundation, the status of a Lagrangian is immediately elevated from that of a largely ad-hoc construction that yields a desired differential equation to a measure of physical information density that has a definite prior significance. [Pg.647]

In essentially all of the prior formulations of TDDFT a complex Lagrangian is used, which would amount to using the full expectation value in Eq. (2.9), not just the real part as in our presentation. The form we use is natural for conservative systems and, if not invoked explicitly at the outset, emerges in some fashion when considering such systems. A discussion of the different forms of Frenkel s variational principle, although not in the context of DFT, can be found in (39). [Pg.239]

Ehf from equation (1-20) is obviously a functional of the spin orbitals, EHF = E[ XJ]. Thus, the variational freedom in this expression is in the choice of the orbitals. In addition, the constraint that the % remain orthonormal must be satisfied throughout the minimization, which introduces the Lagrangian multipliers e in the resulting equations. These equations (1-24) represent the Hartree-Fock equations, which determine the best spin orbitals, i. e., those (xj for which EHF attains its lowest value (for a detailed derivation see Szabo and Ostlund, 1982)... [Pg.28]

In field theory the Lagrangian density is referred to simply as the Lagrangian, using the same symbol L. The variation of L is written explicitly as... [Pg.103]

Suppose that a particular set of coefficients, (Lagrangian multipliers) satisfy this equation for any variation. With the factor —2 introduced for later convenience [93] it means that... [Pg.381]

The time scale for describing the temporal variations of the pollutant species, T, is large when compared with the time scale characterizing the turbulent processes in the atmosphere (i.e., the Lagrangian time scale, Tl). Thus, T > Tl-... [Pg.250]

Assuming uniform prior probabilities, we maximise S subject to these constraints. This is a standard variation problem solved by the use of Lagrangian multipliers. A numerical solution using standard variation methods gives i.p6j=. 05435, 0.07877, 0.11416, 0.16545, 0.23977, 0.34749 with an entropy of 1.61358 natural units. [Pg.339]

Considering such recent relevance of SDP in quantum chemistry, this chapter discusses some practical aspects of this variational calculation of the 2-RDM formulated as an SDP problem. We first present the definition of an SDP problem, and then the primal and dual SDP formulations of the variational calculation of the 2-RDM as SDP problems (Section II), an efficient algorithm to solve the SDP problems the primal-dual interior-point method (Section III), a brief section about alternative and also efficient augmented Lagrangian methods (Section IV), and some computational aspects when solving the SDP problems (Section V). [Pg.104]

The variational method is then used to minimize the expectation value of total energy E = (cj) H (j)) under small variation of the ip s in (19), and subject to the normalization condition of cj) ()) H (1)) = 1. (This may be done by employing the method of Lagrangian undetermined multipliers). [Pg.31]

Variational calculus with this Lagrangian density leads [17] to the field equation ... [Pg.152]

This constraint on the choice of Mr) was incorporated into the variation integral (265) by means of Lagrangian undetermined multipliers. The invariant Sf was minimised with respect to a variation its minimum value is when j/ — m. By comparison with eqn. (263)... [Pg.306]

To develop a lower bound on the steady state, Reck and Prager [507] again considered the variational integral of eqn. (265). In this case, however, let the approximate solution j/ satisfy the diffusion equation (263) rather than the equation defining the macroscopic density M as previously done. Multiply eqn. (263) by j5(r), a Lagrangian undetermined multiplier and add it to the variational integral to give... [Pg.308]

Biot and Daughaday (B6) have improved an earlier application by Citron (C5) of the variational formulation given originally by Biot for the heat conduction problem which is exactly analogous to the classical dynamical scheme. In particular, a thermal potential V, a dissipation function D, and generalized thermal force Qi are defined which satisfy the Lagrangian heat flow equation... [Pg.127]

The method of functional variation in Minkowski spacetime is illustrated hrst through the Lagrangian (in the usual reduced units [46])... [Pg.22]

The Lagrangian (109) is not gauge-invariant, so Eq. (113) is not gauge-invariant. However, the foregoing illustrates the method of functional variation that will be used throughout this section. [Pg.24]

Using this Lagrangian in Eq. (100) produces the following result (reduced units) by functional variation ... [Pg.30]

In analogy with the Lagrangian (99), the factor — is needed because of double summation over repeated indices. So functional variation of the term — G1 ... [Pg.32]

So the sum of terms (which appear on the left-hand side of the field equation) from variation in the term -)Gmv G in the Lagrangian (167) is... [Pg.32]

So the complete field equation obtained from the Lagrangian (167) by functional variation is... [Pg.33]


See other pages where Variational Lagrangian is mentioned: [Pg.224]    [Pg.381]    [Pg.300]    [Pg.265]    [Pg.116]    [Pg.116]    [Pg.227]    [Pg.328]    [Pg.166]    [Pg.12]    [Pg.387]    [Pg.447]    [Pg.219]    [Pg.345]    [Pg.13]    [Pg.50]    [Pg.116]    [Pg.215]    [Pg.24]    [Pg.22]    [Pg.24]    [Pg.32]    [Pg.35]    [Pg.440]    [Pg.47]    [Pg.191]    [Pg.200]   
See also in sourсe #XX -- [ Pg.364 ]




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