Selberg integral

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Template:Short description In mathematics, the Selberg integral is a generalization of Euler beta function to n dimensions introduced by Atle Selberg.[1] It has applications in statistical mechanics, multivariable orthogonal polynomials, random matrix theory, Calogero–Moser–Sutherland model, and Knizhnik–Zamolodchikov equations.[2]

Selberg's integral formula

When Re(α)>0,Re(β)>0,Re(γ)>−min⁡(1n,Re(α)n−1,Re(β)n−1), we have

Sn(α,β,γ)=∫01⋯∫01∏i=1ntiα−1(1−ti)β−1∏1≤i<j≤n|ti−tj|2γdt1⋯dtn=∏j=0n−1Γ(α+jγ)Γ(β+jγ)Γ(1+(j+1)γ)Γ(α+β+(n+j−1)γ)Γ(1+γ)

Selberg's formula implies Dixon's identity for well poised hypergeometric series, and some special cases of Dyson's conjecture. This is a corollary of Aomoto.

Aomoto's integral formula

Aomoto proved a slightly more general integral formula.[3] With the same conditions as Selberg's formula,

∫01⋯∫01(∏i=1kti)∏i=1ntiα−1(1−ti)β−1∏1≤i<j≤n|ti−tj|2γdt1⋯dtn
=Sn(α,β,γ)∏j=1kα+(n−j)γα+β+(2n−j−1)γ.

A proof is found in Chapter 8 of Template:Harvtxt.[4]

Mehta's integral

When Re(γ)>−1/n,

1(2π)n/2∫−∞∞⋯∫−∞∞∏i=1ne−ti2/2∏1≤i<j≤n|ti−tj|2γdt1⋯dtn=∏j=1nΓ(1+jγ)Γ(1+γ).

It is a corollary of Selberg, by setting α=β, and change of variables with ti=1+t'i/2α2, then taking α→∞.

This was conjectured by Template:Harvtxt, who were unaware of Selberg's earlier work.[5]

It is the partition function for a gas of point charges moving on a line that are attracted to the origin.[6]

In particular, when γ=1, the term on the right is ∏j=1nj!.

Macdonald's integral

Template:Harvtxt conjectured the following extension of Mehta's integral to all finite root systems, Mehta's original case corresponding to the An−1 root system.[7]

1(2π)n/2∫⋯∫|∏r2(x,r)(r,r)|γe−(x12+⋯+xn2)/2dx1⋯dxn=∏j=1nΓ(1+djγ)Γ(1+γ)

The product is over the roots r of the roots system and the numbers dj are the degrees of the generators of the ring of invariants of the reflection group. Template:Harvtxt gave a uniform proof for all crystallographic reflection groups.[8] Several years later he proved it in full generality, making use of computer-aided calculations by Garvan.[9]

References

Template:Reflist

Further reading

Template:Random matrix theory