2016
DOI: 10.1142/s179352531650014x
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Large random simplicial complexes, I

Abstract: In this paper we introduce and develop the multi-parameter model of random simplicial complexes with randomness present in all dimensions. Various geometric and topological properties of such random simplicial complexes are characterised by convex domains in the high-dimensional parameter space (rather than by intervals, as in the usual one-parameter models). We find conditions under which a multi-parameter random simplicial complex is connected and simply connected. Besides, we give an intrinsic characterisat… Show more

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Cited by 40 publications
(62 citation statements)
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“…The intersections of the domains D k with the plane α 0 = α 3 = · · · = 0 is shown on the Figure 1. Like in our previous publications [8], [9], [10], we shall consider here the multi-parameter random simplicial complexes with the multi-parameters p i = n −αi where in general the vector of exponents α = (α 0 , . .…”
Section: The Notion Of a Critical Dimensionmentioning
confidence: 99%
“…The intersections of the domains D k with the plane α 0 = α 3 = · · · = 0 is shown on the Figure 1. Like in our previous publications [8], [9], [10], we shall consider here the multi-parameter random simplicial complexes with the multi-parameters p i = n −αi where in general the vector of exponents α = (α 0 , . .…”
Section: The Notion Of a Critical Dimensionmentioning
confidence: 99%
“…In the present paper we study two very general probabilistic models generating random simplicial complexes of arbitrary dimension which we call the lower and upper models. random simplicial complexes was studied in a series of papers [2], [3], [4], [5] under the name of multiparameter random simplicial complexes; the name reflects the fact that the geometric and topological properties of simplicial complexes in this model depend on the set of probability parameters p 0 , p 1 , . .…”
Section: Introductionmentioning
confidence: 99%
“…Note that most random complexes which appear in literature are homogeneous. For example the multi-parameter random simplicial complexes of [6], [7], [8], [9] are homogeneous lower random simplicial complexes.…”
Section: 2mentioning
confidence: 99%
“…Historically the first models of random simplicial complexes were suggested by Linial and Meshulam [17] and Meshulam and Wallach [18]. More recently Costa and Farber [6,7,8,9] studied a multi-parameter generalisation of the Linial-Meshulam-Wallach models involving a sequence of probability parameters p 0 , p 1 , p 2 , . .…”
Section: Introductionmentioning
confidence: 99%