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Unified dynamics for microscopic and macroscopic systems

G. C. GhirardiA. RiminiT. Weber

Abstract

An explicit model allowing a unified description of microscopic and macroscopic systems is exhibited. First, a modified quantum dynamics for the description of macroscopic objects is constructed and it is shown that it forbids the occurrence of linear superpositions of states localized in far-away spatial regions and induces an evolution agreeing with classical mechanics. This dynamics also allows a description of the evolution in terms of trajectories. To set up a unified description of all physical phenomena, a modification of the dynamics, with respect to the standard Hamiltonian one, is then postulated also for microscopic systems. It is shown that one can consistently deduce from it the previously considered dynamics for the center of mass of macroscopic systems. Choosing in an appropriate way the parameters of the so-obtained model one can show that both the standard quantum theory for microscopic objects and the classical behavior for macroscopic objects can all be derived in a consistent way. In the case of a macroscopic system one can obtain, by means of appropriate approximations, a description of the evolution in terms of a phase-space density distribution obeying a Fokker-Planck diffusion equation. The model also provides the basis for a conceptually appealing description of quantum measurement.

Quantum Mechanics and ApplicationsAdvanced Thermodynamics and Statistical MechanicsQuantum Information and CryptographyStatistical physicsPhysicsPhase spaceQuantumClassical mechanicsHamiltonian (control theory)Time evolutionBasis (linear algebra)Physical systemTheoretical physics
Citations
2,724
FWCI
7.14
field-weighted impact
References
13
Percentile
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References
An Algebraic Approach to Quantum Field Theory
Journal of Mathematical Physics · 1964 · 1,225 citations
On the generators of quantum dynamical semigroups
Communications in Mathematical Physics · 1976 · 7,278 citations
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Unified dynamics for microscopic and macroscopic systems · Scinovex