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1. Under certain conditions therefore, equivalence classes of statistical ensembles have the structure of a convex set.
2. These systems can be described by statistical ensembles that depend on a few observable parameters, and which are in statistical equilibrium.
3. Canonical ensemble or NVT ensemble—a statistical ensemble where the energy is not known exactly but the number of particles is fixed.
4. Grand canonical ensemble or μVT ensemble—a statistical ensemble where neither the energy nor particle number are fixed.
5. The precise mathematical expression for a statistical ensemble has a distinct form depending on the type of mechanics under consideration (quantum or classical).
6. In this thesis, a statistical ensemble model is developed and applied to generate and evaluate 10,000 different situations that might potentially lead to rotational falls.
7. The set of all the systems is called a statistical ensemble, and averages computed with this definition of probability are called ensemble averages.
8. Hence, the catalytic interface should be viewed as an evolving statistical ensemble of many structures (rather than one structure).
9. The problem of statistical ensemble inequivalence for single polymers has been the subject of intense research.

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• ID : Q898535

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• [{'LOWER': 'statistical'}, {'LEMMA': 'ensemble'}]
• [{'LOWER': 'statistical'}, {'LOWER': 'ensemble'}, {'OP': '*'}, {'LOWER': 'mathematical'}, {'LOWER': 'physics'}, {'OP': '*'}]