• No results found

Selberg-type squared matrices gamma and beta integrals

N/A
N/A
Protected

Academic year: 2020

Share "Selberg-type squared matrices gamma and beta integrals"

Copied!
5
0
0

Loading.... (view fulltext now)

Full text

(1)

Vol. 1, No. 1, 2008, (197-201)

ISSN 1307-5543 – www.ejpam.com

Honorary Invited Paper

Selberg-type squared matrices gamma and beta integrals

A. K. Gupta1,∗, D. G. Kabe2

1Bowling Green State University, Bowling Green, Ohio, 43403-0223 USA 25971 Greensboro Drive, Mississauga, ON, L5M 5S5 Canada

Abstract. Although Selberg-type, single positive definite symmetric matrices, gamma and beta integrals are evaluated by several authors; see e.g., Askey and Richards (1989), Gupta and Kabe (2005), Mathai (1997), and elsewhere in the vast multivariate statistical analysis literature; the Selberg-type squared ma-trice gamma and beta interals appear to have been neglected. So also Selberg-type of integrals of positive signature symmetric matrices, skew symmetric matrices are neglected in the literature. This paper records Selberg-type squared matrices beta and gamma integrals.

Key words: Selberg-type integrals; squared matrices integrals; hypercomplex normal distributions;multivariate gamma and beta densities.

1. Introduction

We first list a few Selberg-type beta and gamma readily available integrals. The following three gamma integrals are listed by Mathai (1997, p. 231)

Z

exp{−1

2trΛ

2}Y

i<j

(λi−λj)2hdΛ =π− 1

2p(Γ(1 +h))−p p Y

i=1

Γ(ih+ 1) (1)

whereΛ =diag(λ1, . . . , λp), 0< λi <∞,

Z

exp{−tr; Λ}|Λ|g−1Y

i<j

(λi−λj)2hdΛ = " p

Y

i=1

Γ(g+ (i−1)h)Γ(ih+ 1)

#

[Γ(1 +h)]−p. (2)

and

Z

exp{−tr Λ2}Y

i<j

(λ2i −λ2j)2hdΛ = [Γ(1 +h)]−p

p Y

i=1

γ

1

2 + (i−1)h

Γ(ih+ 1), (3)

which follows from Mathai (1997, p. 114, 2.1.4).

Corresponding author.Email address: [email protected] ( A. Gupta )

(2)

Askey and Richards (1989), Gupta and Kabe (2005) record

Z

|Λ|g−1|IΛ|t−1Y i<j

(λi−λj)2hdΛ = [Γ(1 +h)]−p p Y

i=1

Γ(g+ (i−1)h)Γ(t+ (i−1)h) Γ(g+t+ (i−h)) (4)

and

Z

|Λ|g−1(1trΛ)t−1Y i<j

(λi−λj)2hdΛ =

[Γ(1 +h)]−pΓ(t)π12hp(p−1)

Γ(t+pg+p(p−1)h)

p Y

i=1

Γ(g+ (i−1)h)Γ(ih+ 1)

.

(5)

Setting

Γp(a) = Πtp(p−1) p Y

i=1

Γ(a−2t(p−i)), (6)

we write

Z

|I+ Λ|−2t(n+q)|Λ|2t(n−p+1)−1Y

i<j

(λi−λj)4tdΛ =Bp(2nt,2qt)(Γ(1 + 2t))−p p Y

i=1

Γ(2ti+ 1),

(7)

whereBp(a, b) = ΓΓ0(a)Γp(a+b)p(b).

The present paper evaluates (1), and

Z

|I+ Λ2|−αY

i<j

(λi−λj)4tdΛ = 22tpπtp(p+1)Γp(α−

t

2(p+ 1))[Γ(1 + 2t)]

−p p Y

i=1

Γ(2ti+ 1).

(8)

The integral (8) is listed by Mathai (1997, p. 112, 2.1.4).

Mathai (1997, p. 231, 4.1.2) lists a positive signature symmetric matrix Selberg-type gamma integral. The positive signature symmetric matrice Selberg-type beta integrals follow on the same lines. Mathai (1997) also lists several skew symmetric matrices integrals, but not Selberg-type skew symmetric matrices integrals.

We state some useful results in the next section, and evaluate (1) and (8) in section 3. The multivariate statisticsl analysis has now become extremely vast, and search for Selberg-type skew symmetric matrix integrals is formidable.

2. Some Useful Results

Kabe (1984) develops the hypercomplex (HC) multivariate analysis distribution theory, and we record here some relevant results.

LetX = (X10, . . . , X4t0 )0, t = 14,12,1,2be4t(p×n)real random matrices having the 4nt

variate normal density

g(X) = (4πt)−2nt|Σ0|− 1 2 exp

−trΣ−01XX0

4t

(3)

whereΣ0, p×p, is

[Σ1−Σ2−Σ3−Σ4−Σ5−Σ6−Σ7−Σ8Σ2Σ1−Σ4Σ3−Σ6Σ5Σ8−Σ7Σ3Σ4Σ1 -Σ2−Σ7Σ8Σ5Σ4Σ4−Σ3Σ2Σ1−Σ8Σ7−Σ4Σ3Σ5Σ6Σ7Σ8Σ1−Σ2−Σ3−Σ4Σ6−Σ5−

Σ8−Σ7Σ2Σ1Σ4Σ3Σ7−Σ8−Σ5Σ6Σ3−Σ4Σ1Σ2−Σ8Σ7Σ6−Σ5Σ4Σ3−Σ2Σ1],(10)

where nowt = 2, and we use Hamilton’s octonions, Halberstam and Ingram (1967, p. 654, equation (1)). Similar HC theory follows by using Cayley’s or Young’s octonions or bioctonions.

In the context octonion caseΣ1 is a real positive definite symmetric matrix, andΣ2, . . . ,Σ8 are realp×pskew symmetric matrices. Now we set

Y =X1+iX2+jX3+kX4+`X5+mX6+nX7+rX8, (11)

wherei, j, k, `, m, n, roctonions satisfy the multiplication rule

i2 =j2=k2=`2 =m2=n2 =r2 = 1 =ijk=i`n=irn=j`n=jmn=kir=knm,

(12)

and observe that

¯

Y =X1−iX2−jX3−kX4−`X5−mX6−nX7−rX8, (13)

is the HC conjugate ofY, and

dY =dX1dX2. . . dX8. (14)

After some formidable algebra, Kabe (1984) writes thepnvariate normal density ofY to be

g(Y) =π−2pnt|Σ|−2ntexp{−trΣ−1YY¯0}, (15)

where

Σ = Σ1+iΣ2+jΣ3+kΣ4+`Σ5+mΣ6+nΣ7+rΣ8, (16)

is the HC Hermitianp×pmatrix. All of its roots are real and positive. There are also positive sig-nature HC symmetric matrices, HC skew symmetric matrices, and they can be used to generalize or evaluate integrals of type Mathai (1997, p. 231, 4.1.2).

On setting YY¯0 = G, the HC Hermitianp×pWishart matrix, Kabe (1984, p. 67, equation (14)) records this Wishart density

g(G) = (Γp(2nt))−1|Σ|−2nt|G|2t(n−p−1)−1exp{−trΣ−1G}, (17)

a gamma-type HC Hermitianp×pmatrix density. The first kind beta density is

g(G) = [Bp(2nt,2qt)]−1|I −G|2t(n−p−1)−1|G|2t(q−p−1)−1, (18)

and the second kind beta density is

(4)

3. Selberg Squared Matrices Integrals

It follows from Mathai, Provost, and Hayakawa (1995, p. 200, 4.3.2) that

Z

exp{−tr G2}dG= 22tpπtp(p+1). (20)

Kabe (1984, p. 68) shows thatG=OΛO0, whereOis HC unitary, the Jacogian of transformation fromGtoΛis given by

J(G; Λ) =Y

i<j

(λi−λj)4t. (21)

From (20) we conclude that

Z

exp{−trΛ2}Y

i<j

(λi−λj)4tdΛ = 22tpπtp(p+1)(Γ(1 + 2t))−p p Y

i=1

Γ(2ti+ 1). (22)

Now we note that

Z

|I+G2|−αdG=

Z Z

exp{−tr(I+G2)Z}|Z|α−12(p+1)dZdG. (23)

Setting G = Z−14BΣ− 1

4, and integrating with respect toZ first and then with respect toB the integral (23) is written as

Z

exp{−tr Z−tr B2}dB|Z|α−1 4(p+1)−

1

2(p+1)dZ= 22tpπtp(p+1)Γp

α− t

2(p+ 1)

, (24)

wheret= 14. WhenGis HC Hermitian we set in (24)t=t. It follows from (24) that

Z

|I+G2|−αdG= 22tpπtp(p+1)Γp

α− t

2(p+ 1)

, (25)

and from (25) that

Z

|I+ Λ2|−αY

i<j

(λi−λj)4tdΛ = 22tpπtp(p+1)Γp

α− t

2(p+ 1)

[Γ(1 + 2t)]−p

p Y

i=1

Γ(2ti+ 1).

REFERENCES

1. Askey, Richard and Richards, Donald. Selberg’s second beta integral and an integral of Mehta, inProbability, Statistics, and Mathematics. Academic Press, New York, (Karlin Volume), (1989).

(5)

3. Gupta, A. K. and Kabe, D. G. On Selberg’s beta integrals. Random Oper. and Stoch. Eqn.13, 11-16, 2005.

4. Kabe, D. G. Classical statistical analysis based on a certain hypercomplex multivariate normal distribution.Metrika31, 63-76, (1984).

5. Mathai, A. M., Provost, S., and Hayakawa, T.Bilinear Forms and Zonal Polynomials, Springer-Verlag, New York, (1995).

References

Related documents

On the contrary, women who have children (either married or not) report the lowest predicted LFPR at all educational levels.. 8 Similarly to native married women, also married

Table 25: Number of Teachers of the Deaf in resource provisions employed by the local authority or the school Number of teachers (FTE) in resource provision employed by the

Eff ect of propolis on survival of periodontal ligament cells: New storage media for avulsed teeth. In vitro clonogenic

The tools focus on innovation culture (what), the process highlights reflection, learning and integration (how) on assessment results from the perspective of individual, group and

The purpose of this Chapter is to devise a new and robust method for discharge estimation in meandering compound channels. The previous chapter reviewed the

It is hoped that by providing information on the demographics and decisions of Iowa community college nursing and Allied Health program completers insight will be gained that may

Also playing a role in that part of the model is the assumption that changes in liquidity (via a change in velocity or the supply of money) cannot initiated by the private market. The

Model pendukung keputusan ini akan menguraikan masalah multi faktor atau multi kriteria yang kompleks menjadi suatu hirarki, menurut Saaty (1993), hirarki didefinisikan sebagai