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Large-Scale Structure of the Universe and Cosmological ...

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p points in cell 1<br />

q points in cell 2<br />

Fig. 36. <strong>Structure</strong> <strong>of</strong> <strong>the</strong> coefficient Cp q in large separation limit: Cp q is given by<br />

<strong>the</strong> sum <strong>of</strong> all possible trees joining p points in first cell to q points in <strong>the</strong> second<br />

with only one crossing line. The sums can be done separately on each side leading<br />

to Cp q = Cp1 Cq 1.<br />

5.12 The Two-Point Density PDF<br />

Perturbation <strong>the</strong>ory can obviously be applied to any combination <strong>of</strong> <strong>the</strong> density<br />

taken at different locations. In particular, for sound cosmic error computations<br />

(see Chapter 6) <strong>the</strong> bivariate density distribution is an important<br />

quantity that has been investigated in some detail.<br />

The object <strong>of</strong> this sub-section is to present <strong>the</strong> exact results that have been<br />

obtained at tree-level for <strong>the</strong> two-point density cumulants [51]. We consider <strong>the</strong><br />

joint densities at positions x1 <strong>and</strong> x2 <strong>and</strong> we are interested in computing <strong>the</strong><br />

cumulants 〈δ p (x1)δ q (x2)〉 c where <strong>the</strong> field is supposed to be filtered at a given<br />

scale R. In general such cumulants are expected to have quite complicated<br />

expressions, depending on both <strong>the</strong> smoothing length R <strong>and</strong> <strong>the</strong> distance |x1−<br />

x2|. We make here <strong>the</strong> approximation that <strong>the</strong> distance between <strong>the</strong> two points<br />

is large compared to <strong>the</strong> smoothing scale. In o<strong>the</strong>r words, we neglect shortdistance<br />

effects.<br />

Let us define <strong>the</strong> parameters Cp q with,<br />

Cp q =<br />

〈δ p (x1)δ q (x2)〉 c<br />

〈δ(x1)δ(x2)〉 〈δ 2 〉 p+q−2.<br />

(348)<br />

Because <strong>of</strong> <strong>the</strong> tree structure <strong>of</strong> <strong>the</strong> correlation hierarchy, we expect <strong>the</strong> coefficients<br />

Cp q to be finite in both <strong>the</strong> large distance limit <strong>and</strong> at leading order in<br />

<strong>the</strong> variance. This expresses <strong>the</strong> fact that among all <strong>the</strong> diagrams that connect<br />

<strong>the</strong> two cells, <strong>the</strong> ones that involve only one line between <strong>the</strong> cells are expected<br />

to be dominant in cases when 〈δ(x1)δ(x2)〉 ≪ 〈δ 2 〉.<br />

The next remarkable property is directly due to <strong>the</strong> tree structure <strong>of</strong> <strong>the</strong> highorder<br />

correlation functions. The coefficients Cp q are dimensionless quantities,<br />

that correspond to some geometrical averages <strong>of</strong> trees. It is quite easy to realize<br />

(see Fig. 36) that such averages can be factorized into two parts, corresponding<br />

to <strong>the</strong> end points <strong>of</strong> <strong>the</strong> line joining <strong>the</strong> two cells. In o<strong>the</strong>r words one should<br />

have,<br />

Cp q = Cp 1Cq 1. (349)<br />

This factorization property is specific to tree structures. It was encountered<br />

124

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