Formulations of Classical Mechanics  

In General – Dynamical Systems
* Idea: The main ingredients are a space of states (phase space, ...), and an algebra of observables; The dynamical system then specifies an evolution law on the former or, in the Heisenberg picture, an automorphism a at on the algebra of observables.
* Formulations: The main distinction is between differential and integral ones (from a variational principle).
* Structure: One does not need a metric on phase space, only a symplectic structure, to calculate evolutions; But in order to extract physical meaning one does need a metric [@ Klauder qp/01].
$ Def: A dynamical system is a triple (X, , ) of a set, a probability measure, and a family of transformations on X, where (i) The measure is invariant under , and (ii) For all measurable A, (A) = (–1(A)).
* Degrees of chaoticity: In order of increasing chaoticity, systems can be technically divided into integrable, ergodic, mixing, Kolmogorov, Bernoulli, exact; They are considered chaotic if they are mixing or more.

Newtonian Mechanics > s.a. Newton's Laws.
* Idea: The equations of motion are of the form m d2qi/dt2 = Fi(x(t), dq/dt) (second law); To determine the evolution, solve the equations of motion, or use the symmetries present in the problem and the conservation laws to obtain first integrals.
* Limits: Newtonian dynamics is an approximation valid when relativistic effects are small, and there are no charged particles in motion – in that case, the energy-momentum of the radiated field must be taken into account.
@ References: Pflug pr(87) [limits]; Caticha & Cafaro AIP(07)-a0710 [from information geometry]; > s.a. Newton's Laws.

Approaches, Types, and Techniques > s.a. hamilton-jacobi theory; statistical mechanics; symplectic structure; types of systems.
@ Koopman-von Neumann operatorial approach: Abrikosov et al MPLA(03)qp [and quantization]; Gozzi & Mauro IJMPA(04) [Hilbert space and observables].
@ Mathematical: Aldaya & Azcárraga FdP(87) [and group theory]; Giachetta et al a0911 [in terms of fibre bundles over the time-axis].
@ Probabilistic / stochastic aspects: Lasota & Mackey 94; Nikolic FPL(06)qp/05; Volovich a0910; > s.a. stochastic processes.
@ Path-integral / quantum-field-theory techniques: Thacker JMP(97) [reparametrization-invariant]; Gozzi & Regini PRD(00)ht/99; Gozzi NPPS-qp/01; Manoukian & Yongram IJTP(02)ht/04; Penco & Mauro EJP(06)ht.
@ On the computer: Hubbard & West 92; Nusse & Yorke 97; Pingel et al PRP(04) [stability transformation].
@ Related topics: Rosen AJP(64)aug [in terms of wave functions not in linear space]; Voglis & Contopoulos JPA(94) [invariant spectra].
@ Symbolic dynamics: Adler BAMS(98) [representations by Markov partitions]; Fedeli RPMP(06) [embeddigs].
@ Other approaches: Derrick JMP(87) [in terms of data on an observer's past light cone]; Drago AJP(04)mar [Lazare Carnot's 1783 formulation]; Ercolessi et al IJMPA(07)-a0706 [alternative linear structures on TQ]; Delphenich a0708 [from action of symmetry transformation groups]; Page FP(09) [in terms of diagonal projection matrices and density matrices]].
> Other approaches: see classical mechanics; hamiltonian dynamics; lagrangian dynamics; MOND; variational principles.
> Other concepts and tools: see Feynman Diagrams; lie algebras; Peierls Bracket; Reference Frame; time; Trajectory.
> Other results: see noether theorem.

References
@ General texts: Abraham & Shaw 82-88; Arrowsmith & Place 90; Marsden & Ratiu 94; Katok & Hasselblatt 95; Collett & Eckmann 97 [maps].
@ Geometrical: Akin 93; Aoki & Hiraide 94 [topological]; Klauder & Maraner AP(97)qp/96 [deformation and phase space geometry].


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