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One of the transition states of the two reaction  Green’s theorem  A special case of Stokes’
                  steps must (in general) have a higher standard  theorem for the plane. Let P, Q be differentiable
                                                                                  2
                  Gibbs energy than the other, whatever the con-  functions in a region ; ⊂ R , then
                  centrationofD inthesystem. However, thevalue

                  of that concentration will determine which of the  ∂Q   ∂P
                                                                        −      =     Pdx + Qdy.
                  reaction steps is rate-limiting. If the particular  ;  ∂x  ∂y   ∂;
                  concentrations of interest, which may vary, are
                  chosen as the standard rate, then the rate-limiting  grammar  For any language L, the grammar
                  step is the one of highest Gibbs energy.  X is the set of rules specifying the syntax of well-
                                                           formed constructs in L.
                  Gibbs energy of activation (standard free   Comment: A synonym for the rules (and con-
                                      ‡  0                 fusingly, sentences formed by applying the rules)
                  energy of activation),   G  The standard
                  Gibbs energy difference between the transition  is “productions.” Grammars have three func-
                                                           tions: to generate and to recognize constructs
                  state of a reaction (either an elementary reaction
                                                           in a language, and to transform one language
                  or a stepwise reaction) and the ground state of the
                                                           to another.  The most familar example of a
                  reactants. It is calculated from the experimental
                                                           grammar comes from string grammars built from
                  rate constant k via the conventional form of the
                                                           natural languages, which specify the syntactic
                  absolute rate equation:
                                                           properties a sentence must fulfill for it to be
                        ‡                                  “legal.” Many grammars, and the languages
                         G = RT [ln(k /h) − ln(k/T )]
                                     B
                                                           they describe, fall into a hierarchy of increasing
                  where k B  is the Boltzmann constant and h  mathematical complexity first devised by Noam
                  the Planck constant (k /h  =  2.08358 ×  Chomsky. A context-sensitive grammar, one of
                                      B
                       −1 −1
                  10 10  K s ). The values of the rate constants,  the more complex types, specifies that a token’s
                  and hence Gibbs energies of activation, depend  output depends on its context.  Examples in
                  upon the choice of concentration units (or of the  English are a little contrived: perhaps the best
                  thermodynamic standard state).           is “Dick and Jane went north and south, respec-
                                                           tively.” Here “respectively” signals a mapping
                                                           function, so that Dick went north and Jane south.
                  Gram-Schmidt orthogonalization  A pro-
                                                           Grammars are commonly applied to recognize
                  cess to construct an orthonormal basis in a
                                                           features of DNA and protein sequence. In that
                  Hilbert space out of an arbitrary Hilbert basis.
                                                           context they are usually called string grammars.
                                                           They are also used to recognize and generate pat-
                  Green’s functions  Auxiliary functions used
                                                           terns of chemical and biochemical structure and
                  to solve nonhomogeneous boundary value prob-
                                                           function. See graph grammar.
                  lems.  Example: The general solution of the
                  boundary value problem
                                                           graph    A graph G(V, E) consists of a set
                                                           of vertices V, V  = ∅ and a set of edges

                       −y = f(x) , y(0) = 0,y(1) = 0
                                                           e(λ, v ,v ) ∈ E, E ≥∅, where λ ∈ L, L  = ∅
                                                                i
                                                                   j
                  can be written in the form               is the type of relation the edge expresses, and
                                                           {v ,v }∈ V,i  = j are the (possibly empty) ver-
                                                                j
                                                             i
                                     1                     tices associated with that edge.
                        y = φ(x) =   G(x, s)f (s)ds
                                   0                          Comment: This definition has edges express-
                                                           ing relationships but allows them to be
                  where G(x, s) is the Green’s function defined by  unbounded by vertices on either or both sides
                                                           (“free” edges). This latter feature is particularly

                                s(1 − x), 0 ≤ s ≤ x,
                     G(x, s) =                             useful in specifying certain types of graphs and
                                x(1 − s),  x ≤ s ≤ 1 .
                                                           operators upon them. All the graphs considered
                                                           here are finite; have one and only one edge join-
                                                           ing any pair of nodes (are not multigraphs); and
           © 2003 by CRC Press LLC
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