TY - CHAP
T1 - The Bicomponent Ensemble
AU - Matsoukas, Themis
PY - 2018/1/1
Y1 - 2018/1/1
N2 -
The simplest cluster ensemble is formed by partitioning an extensive variable M, which we have called “mass,” into N clusters. In Chap. 3 we generalized this to the partitioning of a set of extensive variables, X
1
, X
2
, ⋯ into N clusters. X
i
may represent energy, volume, or any other extensive attribute that is distributed. A special case is when this attribute refers to a distinct species that we recognize as a component. A population that contains two or more components forms a mixture and its behavior is quite different from that of the generic multivariate ensemble. All extensive properties of a multicomponent population may be sub-partitioned with respect to components. In this chapter we formulate the bicomponent cluster ensemble, derive its thermodynamics, and study the mixing of components for certain classes of selection functionals.
AB -
The simplest cluster ensemble is formed by partitioning an extensive variable M, which we have called “mass,” into N clusters. In Chap. 3 we generalized this to the partitioning of a set of extensive variables, X
1
, X
2
, ⋯ into N clusters. X
i
may represent energy, volume, or any other extensive attribute that is distributed. A special case is when this attribute refers to a distinct species that we recognize as a component. A population that contains two or more components forms a mixture and its behavior is quite different from that of the generic multivariate ensemble. All extensive properties of a multicomponent population may be sub-partitioned with respect to components. In this chapter we formulate the bicomponent cluster ensemble, derive its thermodynamics, and study the mixing of components for certain classes of selection functionals.
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U2 - 10.1007/978-3-030-04149-6_6
DO - 10.1007/978-3-030-04149-6_6
M3 - Chapter
AN - SCOPUS:85065847622
T3 - Understanding Complex Systems
SP - 163
EP - 195
BT - Understanding Complex Systems
PB - Springer Verlag
ER -