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Conservation constraints

From considerations on translational symmetry in the limit of a stereoregular polymer, which are more conveniently analyzed in terms of conservation constraints on momenta at interaction vertices and within self-energy diagrams (31), each Ih line can be easily shown (see e.g. Figure 4 for a second-order process)... [Pg.88]

Although energy conservation constraints dictate which VP channels are open, it is the nature of the intermolecular interactions, the density of states and the coupling strengths between the states that ultimately dictate the nature of the dynamics and the onset of IVR. These factors are dependent on the particular combinations of rare gas atom and dihalogen molecule species constituting the complex. For example, Cline et al. showed that, in contrast to He Bra, Av = 2 VP in the He Cla and Ne Cla complexes proceeds via a direct... [Pg.410]

Observing that the amount of water in a given process is conserved, constraints (4.3) can be written as ... [Pg.76]

This transportation problem is an example of an important class of LPs called network flow problems Find a set of values for the flow of a single commodity on the arcs of a graph (or network) that satisfies both flow conservation constraints at each node (i.e., flow in equals flow out) and upper and lower limits on each flow, and maximize or minimize a linear objective (say, total cost). There are specified supplies of the commodity at some nodes and demands at others. Such problems have the important special property that, if all supplies, demands, and flow bounds are integers, then an optimal solution exists in which all flows are integers. In addition, special versions of the simplex method have been developed to solve network flow problems with hundreds of thousands of nodes and arcs very quickly, at least ten times faster than a general LP of comparable size. See Glover et al. (1992) for further information. [Pg.252]

It should be indicated that a probability density function has been derived on the basis of maximum entropy formalism for the prediction of droplet size distribution in a spray resulting from the breakup of a liquid sheet)432 The physics of the breakup process is described by simple conservation constraints for mass, momentum, surface energy, and kinetic energy. The predicted, most probable distribution, i.e., maximum entropy distribution, agrees very well with corresponding empirical distributions, particularly the Rosin-Rammler distribution. Although the maximum entropy distribution is considered as an ideal case, the approach used to derive it provides a framework for studying more complex distributions. [Pg.252]

A modified version of the TAB model, called dynamic drop breakup (DDB) model, has been used by Ibrahim et aU556l to study droplet distortion and breakup. The DDB model is based on the dynamics of the motion of the center of a half-drop mass. In the DDB model, a liquid droplet is assumed to be deformed by extensional flow from an initial spherical shape to an oblate spheroid of an ellipsoidal cross section. Mass conservation constraints are enforced as the droplet distorts. The model predictions agree well with the experimental results of Krzeczkowski. 311 ... [Pg.330]

However, since the chemical source term can be expressed in terms of T and R, the element conservation constraints can be rewritten as8... [Pg.163]

The results presented above were discussed in terms of the special case of elementary reactions. However, if we relax the condition that the coefficients vfai and uTai must be integers, (5.1) is applicable to nearly all chemical reactions occurring in practical applications. In this general case, the element conservation constraints are no longer applicable. Nevertheless, all of the results presented thus far can be expressed in terms of the reaction coefficient matrix T, defined as before by... [Pg.165]

Reaction-stoichiometry plus element-conservation constraints put non-trivial bounds on the composition vector 0. The interior of these bounds forms the allowable region (see Fig. 6.1). [Pg.285]

Application of the element-conservation constraints, in particular, and linear transformations, in general, to the transport equations forces us to seek mixing models that preserve... [Pg.285]

Figure 6.1 Search for the minimum of the Gibbs function in a two-component space (nn and ni2 are mole numbers) with the mass conservation constraints Bn = q. The search direction is the projection of the gradient onto the constraint subspace. Minimum is attained when the gradient is orthogonal to the constraint direction, which is the geometrical expression of the Lagrange multiplier methods. Figure 6.1 Search for the minimum of the Gibbs function in a two-component space (nn and ni2 are mole numbers) with the mass conservation constraints Bn = q. The search direction is the projection of the gradient onto the constraint subspace. Minimum is attained when the gradient is orthogonal to the constraint direction, which is the geometrical expression of the Lagrange multiplier methods.
Table I presents six basic equations in a general way. Those on the left apply to transfer within a phase A, and those on the right to transfer across a phase boundary AB. The top row expresses the mutual definition of force F, proportionality constant K, and potential . The second row expresses the phenomenological proportionality between flux J and force F. The bottom row states the conservation constraints. The left equation says merely that in a given volume the difference between the accumulation rate and the emanation rate must be attributed to a source S. As stated, these equations apply to any conserved quantity which is diffusing, either within a phase under the influence of a potential gradient or across a phase under the influence of a potential difference. Table I presents six basic equations in a general way. Those on the left apply to transfer within a phase A, and those on the right to transfer across a phase boundary AB. The top row expresses the mutual definition of force F, proportionality constant K, and potential <f>. The second row expresses the phenomenological proportionality between flux J and force F. The bottom row states the conservation constraints. The left equation says merely that in a given volume the difference between the accumulation rate and the emanation rate must be attributed to a source S. As stated, these equations apply to any conserved quantity which is diffusing, either within a phase under the influence of a potential gradient or across a phase under the influence of a potential difference.
The charge conservation constraint can be enforced using an undetermined multiplier. [Pg.108]

The charges are not independent variables since there is a charge conservation constraint. In the following we constrain each molecule to be neutrtd, Qia = 0. We treat the charges undetermined multipliers to enforce the constraint. The Lagrangian is then... [Pg.32]

The constant C can be determined from the mass conservation constraint that the volume flux must be independent of x. This means that... [Pg.241]

Fig. 23. Equilibrium and mass conservation constraints on mass exchanger design. Fig. 23. Equilibrium and mass conservation constraints on mass exchanger design.
Fig. 7.1 Chemical reaction mechanism representing a biochemical NAND gate. At steady state, the concentration of species 85 is low if and only if the concentrations of both species Ii and I2 are high. All species with asterisks are held constant by buffering. Thus, the system is formally open although there are two conservation constraints. The first constraint conserves the total concentration of S3 -F 84 -F 85, and the second conserves -F 87. All enzyme-catalyzed reactions in this model are governed by simple Michaelis-Menten kinetics. Lines ending in over an enzymatic reaction step indicate that the corresponding enzyme is inhibited (noncom-petitively) by the relevant chemical species. We have set the dissociation constants, Kp j, of each of the enzymes Ei-Eg, from their respective substrates equal to 5 concentration units. The inhibition constants, K i and K 2, for the noncompetitive inhibition of E1 and 7 by 11 and I2, respectively, are both equal to 1 unit. The Vmax for both Ej and E2 is set to 5 units, and that for E3 and E4 is 1 unit/s. The Vmax s for E5 and Eg are 10 and 1 units/s, respectively. (From [1].)... Fig. 7.1 Chemical reaction mechanism representing a biochemical NAND gate. At steady state, the concentration of species 85 is low if and only if the concentrations of both species Ii and I2 are high. All species with asterisks are held constant by buffering. Thus, the system is formally open although there are two conservation constraints. The first constraint conserves the total concentration of S3 -F 84 -F 85, and the second conserves -F 87. All enzyme-catalyzed reactions in this model are governed by simple Michaelis-Menten kinetics. Lines ending in over an enzymatic reaction step indicate that the corresponding enzyme is inhibited (noncom-petitively) by the relevant chemical species. We have set the dissociation constants, Kp j, of each of the enzymes Ei-Eg, from their respective substrates equal to 5 concentration units. The inhibition constants, K i and K 2, for the noncompetitive inhibition of E1 and 7 by 11 and I2, respectively, are both equal to 1 unit. The Vmax for both Ej and E2 is set to 5 units, and that for E3 and E4 is 1 unit/s. The Vmax s for E5 and Eg are 10 and 1 units/s, respectively. (From [1].)...
There are two conservation constraints in this system first, the sum of the concentrations of 85 and 87 is constant second, the sum of the concentrations of 83, 84, and 85 is constant. Hence of the 5 response concentrations, only 3 are independent the matrix R made up of the correlations is four-dimensional, three concentration dimensions and the time lag r. [Pg.67]

The concentration shift regulation for Per + cannot be performed independently of other enzyme species because all the HRP enzyme forms are bound by a conservation constraint and therefore their regulation is mutually dependent. Table 11.9 lists the responses of the species to an increase in oxygen and NADH. The results are the same for the upper and lower stationary state. [Pg.154]

NADH is assumed effectively constant, H+ is buffered, NAD+ and (NAD)2 are products, and therefore all these species are nonessential. As opposed to experiments, NADH is assumed a priori nonessential in the model. The variable species include the four enzyme forms, Per +, col, coll, and coIII, two free radical species, NAD and 0 , and oxygen and hydrogen peroxide. Since the enzyme is not flowed in and out, there is a conservation constraint for all the enzyme species. [Pg.158]

Calculations of relative amplitudes, quench vectors, and buffering of the species indicate that Per + and H2O2 are nonessential species. Since the enzymatic species are bound by a conservation constraint (their overall concentration is constant), the Jacobian matrix is singular and cannot be inverted. However, this can be circumvented by calculating the inverse of an auxiliary matrix [8], which provides concentration shifts with respect to only those species that are not involved in the conservation constraint. Leaving out the nonessential species, the concentration shifts with respect to admittable species (NAD, 0 , and O2) along with phase shifts relative to NAD (type X species) are summarized in table 11.12. [Pg.159]


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See also in sourсe #XX -- [ Pg.285 ]




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Mass conservation constraint

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