Correlation kernel of the process P

166 Electronic Communications in Probability The condition P ∞ x=1 ψx ∞ ensures that the operator in ℓ 2 Z corresponding to L is of trace class. Therefore, the Fredholm determinant det1 + L is well defined. Proposition 1. Let X = x 1 , . . . , x n ⊂ Z be any finite subset. We have P ψ X = det L X det1+L , where by L X we denote the submatrix ” L x i , x j — n i, j=1 . This follows from the Cauchy determinant identity [23, Ch. I, §4, Ex. 6]. Proposition 1 implies that the random point process P ψ is an L–ensemble corresponding to the matrix L e.g., see [4, §5]. It follows from general properties of determinantal point processes for example, see [7, Prop. 2.1] that the L–ensemble P ψ is determinantal, and its correlation kernel has the form K = L1+L −1 . Since L is symmetric, the kernel K is also symmetric. However, the operator of the form L1 + L −1 in ℓ 2 Z cannot be a projection operator.

2.2 Correlation kernel of the process P

ν,ξ Here we present explicit expressions for the correlation kernel K ν,ξ of the point process P ν,ξ de- fined by 3–4. To shorten the notation, set φ i x := 2 F 1 − 1 2 − ν + i, − 1 2 + ν + i; x + i; ξ ξ−1 , i = 0, 1, 2, . . . ; e φx := 2 F 1 3 2 + ν, − 1 2 − ν; x; ξ ξ−1 . where 2 F 1 is the Gauss hypergeometric function. Since x ∈ Z and i ∈ Z ≥0 , the third parameter of the above hypergeometric functions is a positive integer, therefore, φ i x and e φx are well defined. Also set Ξx, y := ¦ Γ € 1 2 − ν + x Š Γ € 1 2 + ν + x Š Γ € 1 2 − ν + y Š Γ € 1 2 + ν + y Š© 1 2 , 6 where x, y ∈ Z . Note that due to our assumptions on the parameter ν §1.1, the above expres- sion in the curved brackets is strictly positive, so we choose the square root to be real positive. Theorem 2.1. We have K ν,ξ x, y = 2 Ξ x, y p x y x + y ∞ X j=0 ξ j+x+ y2 1 − ξ −2 j φ j+1 xφ j+1 y 2 δ j x + j y + jΓ 1 2 − ν − jΓ 1 2 + ν − j , 7 where δx := δ x0 is the Kronecker delta. Theorem 2.2. We have K ν,ξ x, y = cosπν π ξ x+ y 2 Ξx, y p x yx − 1 y − 1 · A xB y − BxA y x 2 − y 2 , 8 where Bx = φ 1 x and Ax can be written in one of the two following forms: 1 A 1 x := x 2φ x − φ 1 x ; 2 A 2 x := x 1+ξ [2 e φx − 1 − ξφ 1 x]. If x = y, formula 8 is also true when understood according to the L’Hospital’s rule. This agree- ment is also applicable to similar formulas below. Random Strict Partitions and Determinantal Point Processes 167 Remark 1. Note that the kernel K ν,ξ given by 8 can be viewed as a discrete analogue of an integrable operator if as variables we take x 2 and y 2 . About integrable operators, e.g., see [16, 11]. Discrete integrable operators are discussed in [3] and [7, §6]. Remark 2. There is an identity φ x = e φx 1 + ξ − ξ1 + 2ν − x1 − ξ x1 − ξ 2 φ 1 x, 9 which is a combination of 2.838, 2.839 and 2.92 in [12]. Therefore, A 2 x = A 1 x + c Bx, where c does not depend on x. Thus, the kernel 8 with A 1 is identical to the one with A 2 . Furthermore, all our formulas must be symmetric with respect to the replacement of ν by −ν. Clearly, Ξx, y and all the functions φ i x, i ∈ Z ≥0 , possess this property, so the kernel 7 and the kernel 8 with A 1 do not change under the substitution ν → −ν. The same holds for the kernel 8 with A 2 , because from 9 we have e φx| ν→−ν = e φx + ec x φ 1 x, where ec does not depend on x.

2.3 Scheme of proof of Theorems 2.1 and 2.2

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