2012
DOI: 10.1017/s0143385711000952
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Enumerating combinatorial classes of the complex polynomial vector fields in ℂ

Abstract: In order to understand the parameter space Ξ d of monic and centered complex polynomial vector fields in C of degree d, decomposed by the combinatorial classes of the vector fields, it is interesting to know the number of loci in parameter space consisting of vector fields with the same combinatorial data (corresponding to topological classification with fixed separatrices at infinity).This paper answers questions posed by Adam L. Epstein and Tan Lei about the total number of combinatorial classes and the numb… Show more

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Cited by 12 publications
(16 citation statements)
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“…In our context, the only separatrices will be the ones of the saddle points at infinity. The problem of studying the number of different phase portraits of equation (1.1), without the assumption of having all the critical points of center type, is also considered in the recent papers [4,9].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…In our context, the only separatrices will be the ones of the saddle points at infinity. The problem of studying the number of different phase portraits of equation (1.1), without the assumption of having all the critical points of center type, is also considered in the recent papers [4,9].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…In each of these regions we can draw a curve γ j connecting the interior of a saddle sector at ∞ to the interior of another saddle sector (see Figure 6.3(B)). There are exactly C k = 1 k+1 2k k ways of pairing two by two the saddle sectors of ∞ by non-intersecting curves, thus providing a topological invariant for the vector field (we also refer to [10]).…”
Section: Temporal Normal Formsmentioning
confidence: 99%
“…The paths of integration Γ j,± bounds the unbounded squid sectors in the following way : The boundary of the saddle part V j,s of (unbounded) squid sectors is Γ j,+ ∪ Γ j+1,− , as in Figures 6. 10 (1) For every (x, y) ∈ V j,s r F j+1 (x, y) − F j (x, y) = 2iπT j H j N (x, y) (6.23) while for every (x, y) ∈ V σ (j),g r F j (x, y) = F σ (j) (x, y) .…”
Section: Cauchy-heine Transformmentioning
confidence: 99%
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“…Also, we have refined our understanding of the modulus compared to the presentation in [33]. The number of cells is now the optimal number C k = 1 k+1 2k k (the k th Catalan's number) given by the Douady-Estrada-Sentenac classification [8,7]. Moreover we have reduced the degree of freedom: instead of having the modulus given up to conjugacy by linear functions depending both on ε and the cell, now the modulus is given up to conjugacy by linear functions depending only on ε in an analytic way.…”
Section: Introductionmentioning
confidence: 99%