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Domains and Extreme-Value Statistics

Authors: William Fuller Brown;

Domains and Extreme-Value Statistics

Abstract

Consider a ferromagnetic crystal at small fields. In a domain of type i (i = 1, 2,…,n), the spontaneous magnetization lies along the ith direction of easy magnetization; the free-energy density associated with externally controlled fields is Ei, and that associated with random internal forces is εi, Postulate: at each point, ε1, ε2, …, εn are independent random variables, with a common distribution function F(x);, and the actual orientation is that of smallest Ei+εi. Let pj be the probability that a randomly chosen point is in a domain of type j. Then pj = ∫−∞∞{Πi≠j[1−F(x−Ei)]}F′(x−Ej)dx. When E1 = E2 = … = 0,the integrand is 1/n times the probability density Ψn′(x)of the smallest value among the n εi's. Under certain conditions,the distribution function Ψn(x) of the smallest value reduces asymptotically, for large n, to 1−exp[−eαn(x−un)], where F(un) = 1/n and αn = nF′(un). Under the same conditions, pi reduces asymptotically to e−αnEj/Σie−αnEi. This Boltzmann-type formula,variously “derived,” was used in an old “statistical” domain theory recently revived. Its limited success is understandable when it is interpreted as an asymptotic approximation, since n is usually only 2, 6, or 8. Use of the rigorous formula, with a reasonable form for F(x), might give better results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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