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action, law of action and reaction  (New-  action principle  (Newton’s second law)
                  ton’s third law) The basic law of mechanics  Any force F acting on a body of mass m induces

                  asserting that two particles interact so that the  an acceleration  a of that body, which is pro-
                  forces exerted by one upon another are equal in  portional to the force and in the same direction
                  magnitude, act along the straight line joining the  F = m a.

                  particles, and are opposite in direction.
                                                           action, principle of least  The principle
                  action functional  In variational calculus  (Maupertius 1698–1759) which states that the
                  (and, in particular, in mechanics and in field  actual motion of a conservative dynamical sys-
                  theory) is a functional defined on some suitable  tem from P to P takes place in such a way that
                                                                    1
                                                                         2
                  space F of functions from a space of independent  the action has a stationary value with respect to
                  variables X to some target space Y; for any  all possible paths between P and P correspond-
                                                                                 1
                                                                                       2
                  regular domain D and any configuration ψ of  ing to the same energy (Hamilton principle).
                  the system it associates a (real) number A [ψ].
                                                   D
                 A regular domain D is a subset of the space X  activation energy  (Arrhenius activation
                                                           energy) An empirical parameter characterizing
                  (the time t ∈ R in mechanics and the space-time
                                                           the exponential temperature dependence of the
                  point x ∈ M in field theory) such that the action
                                                                                 2
                                                           rate coefficient k, E = RT (d ln k/dT ), where
                  functional is well-defined and finite; e.g., if X is       a
                                                           R is the gas constant and T the thermodynamic
                  a manifold, D can be any compact submanifold
                                                           temperature. The term is also used for threshold
                  of X with a boundary ∂D which is also a compact
                                                           energies in electronic potential surfaces, in
                  submanifold.
                    By the Hamilton principle, the configurations  which case the term requires careful definition.
                  ψ which are critical points of the action func-  activity  In biochemistry, the catalytic power
                  tional are called critical configurations (motion  of an enzyme. Usually this is the number of sub-
                  curves in mechanics and field solutions in field  strate turnovers per unit time.
                  theory).
                    In mechanics one has X = R and the relevant  adaptive refinement  A strategy that aims to
                  space is the tangent bundle TQ to the configura-  reduce some discretization error of a finite ele-
                  tion manifold Q of the system. Let ˆγ = (γ, ˙γ)  ment scheme by repeated local refinement of the
                  be a holonomic curve in TQ which projects onto  underlaying mesh. The goal is to achieve an
                  the curve γ in Q and L : TQ → R be the   equidistribution of the contribution of individ-
                  Lagrangian of the system, i.e., a (real) func-  ual cells to the total error. To that end one relies
                  tion on the space TQ. The action is given by  on a local a posteriori error estimator that, for

                                                                                       h
                  A [γ ] =  D  L(γ (t), ˙γ(t)) dt. D can be any  each cell K of the current mesh ; , provides an
                   D
                  closed interval. If suitable boundary conditions  estimate η of how much of the total error is due
                                                                   K
                  are required on γ one can allow also infinite inter-  to K.
                  vals in the parameter space R.              Starting with an initial mesh ; , the refine-
                                                                                       h
                    In field theory X is usually a space-time mani-  ment loop comprises the following stages:
                  fold M and the relevant space is the k-order  (i.) Solve the problem discretized by means
                              k
                  jet extension J B of the configuration bundle  of a finite element space built on ; ;
                                                                                       h
                  (B,M,π,F) of the system. Let ˆσ be a holo-  (ii.) Determine guesses for the total error of
                                 k
                  nomic section in J B which projects onto the  the discrete solution and for the local error contri-
                                         k
                  section σ in B and L : J B → R be the
                                                           butions η . If the total error is below a prescribed
                                                                   h
                  Lagrangian of the system, i.e., a (real) func-  threshold, then terminate the loop;
                                   k
                  tion on the space J B.  The action is given
                                                             (iii.) Mark those cells of ; for refinement
                  by A [σ] =   D  L(ˆσ(x)) ds, where L(ˆσ(x))                       h
                      D
                  denotes the value which the Lagrangian takes  whose local error contributions are above the
                                                           average error contribution;
                  over the section; D ⊂ M can be any regular
                  domain and ds is a volume element. If suitable  (iv.) Create a new mesh by refining marked
                  boundary conditions are required on the sections  cells of ; and go to (i.).
                                                                   h
                  σ one can allow also infinite regions up to the  Algorithms for the local refinement of simplicial
                  whole parameter space M.                 and hexaedral meshes are available.
           © 2003 by CRC Press LLC
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