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Global Journal of Pure and Applied Mathematics.
ISSN 0973-1768 Volume 16, Number 1 (2020), pp. 119-130
© Research India Publications
http://www.ripublication.com/gjpam.htm
Some Results Associated with Jacobi Matrix
Polynomials
Mosaed M. Makky
Department of Mathematics, Faculty of Science, South Valley University(Qena-Egypt)
Abstract
In this paper the main idea is to obtain some recurrence relations and generating
matrix function for Jacobi matrix polynomials of two complex variables by acting
of differential operator.
Keywords: Jacobi matrix polynomials, differential operator, recurrence relations,
hypergeometric function.
2010 Mathematics Subject Classification: Primary 33C25 Secondary 15A60.
1. INTRODUCTION
The study of the functions of special matrix observed in previous studies and both the
Lie group theory, number theory are known in [1, 2]. Also in recent studies, a
polynomial matrix appeared in [3, 4, 5, 6]. In [7, 8, 9, 10, 11, 12] the authors
presented and study the Jacobi matrix polynomials.
The theory of orthogonal polynomials extends to a polynomials matrix, as in papers
[13, 14, 15].
Some results in classical orthogonal polynomials theory extended to orthogonal
polynomials in [4, 16].
Our main objective in this paper is to demonstrate new polynomial properties of the
Jacobi matrix under to use of some differential operators.
Throughout for a matrix NxNA , its spectrum ( )A denotes the set of all
eigenvalues of matrix A.
If f (z) and g(z) are holomorphic functions of the one complex variable z, which are
defined in an open set of the complex plane and ,A B are matrices in NxN with
120 Mosaed M. Makky
( )A and ( )B ; then from the properties of the matrix functional calculus
in [17], it follows that
( ) ( ) ( ) ( )f A g B g B f A . (1.1)
If NxNA is a matrix such that A nI is an invertible matrix for all integer 0n
we have the matrix version of the pochhammer symbol is
( ) ( )( 2 ) ... ( ( 1) ) ; 1nA A A I A I A n I n ; 0( )A I . (1.2)
The classical Jacobi matrix polynomials ( , ) ( )A BnP x of one variable as given
( , )
2 1
( ) 1( ) , ; ;
! 2
A B nn
I A zP z F nI I A B nI I An
(1.3)
where the hypergeometric function write as follows c.f.[1]):
1
2 1
0
( , )( , )( , )( ; , ; )
(1, )
n
n
A n B n C nF A B C z zn
for matrices , , NxNA B C such that C nI is invertible for all integer 0n and
for |z| < 1.
For A is an arbitrary matrix in NxN and using (1.2), we have the following relations
(c.f. [18])
( ) ( ) ( )n k n k k nA A A nI A A kI
2 2 2( ) ( ) ( 2 )n k n k k nA A A nI A A kI
and
2
2
1 1( ) 2 ( )
2 2
kk
k k
A A A I
.
Cekim B. and etc. (c.f. [19]) some recurrence relations for Jacobi matrix polynomials
(JMP) are given and a generating matrix function for JMP is also obtained in this
article furthermore, we show the integral representations for JMP are given it, for A
and B be matrices in NxN whose eigenvalues, z, all satisfy Re( ) 1z , Jacobi
matrix polynomials satisfies some recurrence relations which satisfied by Jacobi
matrix polynomials (JMP) of one variable (c.f. [19]) are given in the following:
Theorem (1.1)
Let A and B be matrices in NxN whose eigenvalues z, all satisfy Re( ) 1z (JMP)
then we have
i. ( , ) ( , )
1
0
1( ) ( )
2
nA B A I B I
n nk
n I A Bd P x P xdx
Some Results Associated with Jacobi Matrix Polynomials 121
ii.
( , ) ( , )1
( ) ( )2
sA B A sI B sIs
n n ss s
n I A Bd P x P xdx
for 0 s n
iii. ( , ) ( , )( ) ( 1) ( )A B n A Bn nP x P x .
Theorem (1.2)
Let A and B be matrices in NxN whose eigenvalues z, all satisfy Re( ) 1z . For
the Jacobi matrix polynomials (JMP), the following recurrence relations are achieved:
( , ) ( , ) ( , )
1( 1) ( ) ( ) ( )A B A B A I Bn n n
dx P x n P x B nI P xdx
and
( , ) ( , ) ( , )
1( 1) ( ) ( ) ( )A B A B A B In n n
dx P x n P x A nI P xdx
.
From above theorem we can write
( , ) ( , ) ( , )
1 12 ( ) ( ) ( )A B A I B A B In n n
d P x B nI P x A nI P xdx
and
( , ) ( , ) ( , )( 2) ( ) ( 1) ( ) ( 1) ( ).A I B I A I B A B In n nA B n I P x B n I P x A n I P x
In addition to many other results studied in article [20].
The Jacobi matrix polynomials of two complex variables ( , ) ( , )A BnP z w is defined as
follows:
1 1
( , )
0
( , )!( )! 2
kn
A B n n k k nn
k
I A I A B I A I A B z wP z wk n k
where ,A B be a positive stable matrices in NxN , , ( 1,1)z w , ( A B B A ) which
can be simplified to obtain the generating matrix polynomials as follows:
1 1
( , )
0
1 1( , )
!( )! 2 1
kn knA B n n k k n
nk
I B I A B I B I A B z wP z wk n k w
1 1
( , )
, 0
( , )!( )! 2 2
k n k
A B n n k n kn
n k
I A I B I A I B z w z wP z wk n k
122 Mosaed M. Makky
( , )
2 1( , ) , , ;! 2
n
A B nn
I A z w z wP z w F nI B nI I An z w
and
( , )
2 1( , ) , , ;! 2
A B nn
I A w zP z w F nI I A B nI I An
.
2- MAIN RESULTS
In this section we will study the effect of the differential operator on the Jacobi matrix
polynomials to identify the results that can be obtained for this study.
For this propose, let NxNA be a matrix version of the pochhammer symbol is
( ) ( )( 2 )... ( ( 1) ) ; 1nA A A I A I A n I n ; 0( )A I .
Now, we write the conjugate relations that we can use in the following theorem as
follows:
1
2 ( ) ( )n n
I A B I A B I A B I I A I B
(2.1)
1
( )n n
I A I A I I A
(2.2)
1
( )k k
I A I A I I A
(2.3)
1 ( 1)
2 ( ) ( )n k n k
I A B I A B I A B I I A I B
. (2.4)
This is what we will introduced in the following theorem:
Theorem (2.1):
Suppose that the Jacobi matrix polynomials of two complex variables given as
follows:
1 1
( , )
0
( , )!( )! 2
kn
A B n n k k nn
k
I A I A B I A I A B z wP z wk n k
(2.5)
where ,A B be a positive stable matrices in NxN , , ( 1,1)z w , and given the
differential operator wz w
.
Then Jacobi matrix polynomials of two complex variables satisfies the matrix
differential equation:
, ,
1
1( , ) ( , ) 0
4
A B A I B In nP z w P z w
. (2.6)
Some Results Associated with Jacobi Matrix Polynomials 123
Proof:
By the operator wz w
and using the relations (2.1), (2.2), (2.3) and
(2.4) for the Jacobi matrix polynomials of two complex variables ( , ) ( , )nP z w we see
that
( , ) ( , )A Bnw P z w
z w
1 1
0 !( )! 2
kn
n n kk n
k
I A I A B z ww I A I A Bz w k n k
1
1 1
0
1
1 1
0
1 1
!( )! 2 2 4
1
4 !( )! 2
kn
n n kk n
k
kn
n n kk n
k
k I A I A B z wI A I A Bk n k
k I A I A B z wI A I A Bk n k
1 11
11
1
4 !( ( 1))! 2
kn
n n kk n
k
I A I A B z wI A I A Bk n k
.
Now write this relation as follows:
( , ) 1
1 1
1( , )
4 !( ( 1))! 2
kn
A B n n kn
k k n
I A I A B z wP z wk n k I A I A B
1 ( 1)
1
1
( ) 2 ( ) ( )
!( ( 1))! ( )1
4 1
2 ( ) ( ) 2
n n k
nk
kk
n
I A I I A I A B I A B I I A I B
k n k I A I I A
z wI A B I A B I I A I B
1 ( 1)
1 1
( ) ( ) ( )1
4 !( ( 1))! ( ) ( ) ( ) 2
kn
n n k
k k n
I I A I I A I B z wk n k I I A I I A I B
1
1 ( 1)
1 1 1
( ) ( ) ( )
! ( 1) !1
4( ) ( ) ( )
2n
n n k
n
kk
k
I I A I I A I B
k n k
z wI I A I I A I B
, ,
1
1( , ) ( , )
4
A B A I B In nP z w P z w
.
124 Mosaed M. Makky
Then Jacobi matrix polynomials (2.5) satisfies the matrix differential equation:
, ,
1
1( , ) ( , ) 0
4
A B A I B In nP z w P z w
. (2.7)
In the same way as the differential operator on the Jacobi matrix polynomials and
using differential operator suitable on different images of the Jacobi matrix
polynomials we get the similar results:
1 1
( , )
0
( , )!( )! 2 1
kn
A B n n k k nn
k
I A I A B I A I A B z wP z wk n k w
1 1
( , )
0
1 1( , )
!( )! 2 1 2 1
k n kn
A B n n k n kn
k
I A I B I A I B z w z wP z wk n k w w
and
1 1
( , )
0
1 1( , ) .
!( )! 2 1
kn knA B n n k k n
nk
I B I A B I B I A B z wP z wk n k w
RECURRENCE RELATIONS FOR JACOBI MATRIX POLYNOMIALS
Some recurrence relations have been deduced for the Jacobi matrix polynomials, as
follows:
1- At first let ,A B be matrices in N x N where 0 ( ) 1 , for all ( )A ,
( )B and put w=1 in the Jacobi matrix polynomials (2.5) we get
1 1
( , )
0
1( ,1)
!( )! 2
knA B n n k k n
nk
I A I A B I A I A B zP zk n k
where ( 1,1)z .
Now we write the differential operator
zddz
.
Some Results Associated with Jacobi Matrix Polynomials 125
Therefore
( , ) ( ,1)A Bn
d P zdz
1 1
0
1
!( )! 2
knn n k
k nk
I A I A Bd zI A I A Bdz k n k
11 1
0
11 1
0
1 1
!( )! 2 2
1 1
2 !( )! 2
knn n k
k nk
knn n k
k nk
k I A I A B zI A I A Bk n k
k I A I A B zI A I A Bk n k
1 11
11
1 1
2 !( ( 1))! 2
knn n k
k nk
I A I A B zI A I A Bk n k
.
Now write this relation as follows:
( , ) 1
1 1
1 1( ,1)
2 !( ( 1))! 2
knA B n n k
z nk k n
I A I A B zP zk n k I A I A B
1 ( 1)
1 1
( ) ( ) ( )1 1
2 !( ( 1))! ( ) ( ) ( ) 2
knn n k
k k n
I I A I I A I B zk n k I I A I I A I B
1
1 ( 1)
1 1 1
( ) ( ) ( )
! ( 1) !1
2 1( ) ( ) ( )
2n
n n k
n
kk
k
I I A I I A I B
k n k
zI I A I I A I B
, 1, 1
1
1( ,1) ( ,1)
2
A B A Bz n nP z P z
.
Then Jacobi matrix polynomials satisfies the matrix differential equation:
, ,
1
1( ,1) ( ,1) 0
2
A B A I B Iz n nP z P z
. (2.8)
Now by putting w=1 in the different images of the Jacobi matrix polynomials and
with appropriate differential operators we get similar results:
1 1
( , )
0
2( ,1)
!( )! 2 2
kn
A B n n k k nn
k
I A I A B I A I A B zP zk n k
,
1 1
( , )
0
2 2( ,1)
!( )! 2 2 2 2
k n kn
A B n n k n kn
k
I A I B I A I B z zP zk n k
126 Mosaed M. Makky
and
1 1
( , )
0
1 2( ,1)
!( )! 2 2
kn knA B n n k k n
nk
I B I A B I B I A B zP zk n k
.
2- In the same way the following results can be obtained by put z=1 in (2.5) and using
the same operator we get:
1 1
( , )
0
1(1, )
!( )! 2
kn
A B n n k k nn
k
I A I A B I A I A B wP wk n k
where ( 1,1)w .
Now we write the differential operator
w ww
.
Therefore
( , ) (1, )A Bnw P w
w
1 1
0
1
!( )! 2
kn
n n kk n
k
I A I A B ww I A I A Bw k n k
1
1 1
0
1 1
2 !( )! 2
kn
n n kk n
k
k I A I A B wI A I A Bk n k
1 1
1 1
1
1 1
2 !( ( 1))! 2
kn
n n k k n
k
I A I A B I A I A B wk n k
.
Now write this relation as follows:
( , ) 1
1 1
1 1(1, )
2 !( ( 1))! 2
kn
A B n n kw n
k k n
I A I A B wP wk n k I A I A B
1 ( 1)
1 1
( ) ( ) ( )1 1
2 ! ( 1) ! ( ) ( ) ( ) 2
kn
n n k
k k n
I I A I I A I B wk n k I I A I I A I B
1 ( 1)
1 1
( ) ( ) ( )1 1
2 ! ( 1) ! ( ) ( ) ( ) 2
kn
n n k
k k n
I I A I I A I B wk n k I I A I I A I B
Some Results Associated with Jacobi Matrix Polynomials 127
therefore
, ,
1
1(1, ) (1, )
2
A B A I B Iw n nP w P w
. (2.9)
Then Jacobi matrix polynomials satisfies the matrix differential equation:
, ,
1
1(1, ) (1, ) 0
2
A B A I B Iw n nP w P w
.
Again by putting z=1 in the different images of the Jacobi matrix polynomials and
with appropriate differential operators we get similar results for the case w=1.
3- Now by putting A=I in the Jacobi matrix polynomials and using differential
operator wz w
we get:
( , ) ( , )I Bnw P z w
z w
1 1
0
2 22 2
!( )! 2
kn
n n kk n
k
I I B z ww I I Bz w k n k
1
1 1
0
2 212 2
4 !( )! 2
kn
n n kk n
k
k I I B z wI I Bk n k
1 11
11
2 212 2
4 !( ( 1))! 2
kn
n n kk n
k
I I B z wI I Bk n k
.
Now write this relation as follows:
( , ) 1
1 1
2 21( , )
4 ! ( 1) ! 2 2 2
kn
I B n n kn
k k n
I I B z wP z wk n k I I B
1 ( 1)
1 1
3 3 ( )1
4 !( ( 1))! 3 3 ( ) 2
kn
n n k
k k n
I I I B z wk n k I I I B
1
11
1 ( 1)
1
3 3 ( ) 3 3 ( )1
4 ! ( 1) ! 2
n
kn
n kn k
k
I I I B I I I B z wk n k
, 2 ,
1
1( , ) ( , )
4
I B I B In nP z w P z w
.
128 Mosaed M. Makky
Then Jacobi matrix polynomials satisfies the matrix differential equation:
, 2 ,
1
1( , ) ( , ) 0
4
I B I B In nP z w P z w
. (2.10)
Also, by putting A=I in the different images of the Jacobi matrix polynomials and
with appropriate differential operators we get similar results as follows:
1 1
( , )
0
2 2 2 2( , )
!( )! 2 1
kn
I B n n k k nn
k
I I B I I B z wP z wk n k w
1 1
( , )
0
2 2 1 1( , )
!( )! 2 1 2 1
k n kn
I B n n k n kn
k
I I B I I B z w z wP z wk n k w w
and
1 1
( , )
0
1 2 2 1( , ) .
!( )! 2 1
kn knI B n n k k n
nk
I B I B I B I B z wP z wk n k w
4- Now by putting B=I in the Jacobi matrix polynomials and with differential operator
wz w
we get:
( , ) ( , )A Inw P z w
z w
1 1
0
22
!( )! 2
kn
n n kk n
k
I A I A z ww I A I Az w k n k
1
1 1
0
212
4 !( )! 2
kn
n n kk n
k
k I A I A z wI A I Ak n k
1 11
11
212
4 !( ( 1))! 2
kn
n n kk n
k
I A I A z wI A I Ak n k
.
Some Results Associated with Jacobi Matrix Polynomials 129
Now write this relation as follows:
1 ( 1),
1 1
( ) 3 ( )1( , )
4 !( ( 1))! ( ) 3 ( ) 2
kn
n n kA In
k k n
I I A I I A z wP z wk n k I I A I I A
1
1 1
1 ( 1)
1
( ) 3 ( ) ( ) 3 ( )1
4 ! ( 1) ! 2
n
kn
n n k k
k
I I A I I A I I A I I A z wk n k
1
1 1
1 ( 1)
1
( ) 3 ( ) ( ) 3 ( )1
4 ! ( 1) ! 2
n
kn
n n k k
k
I I A I I A I I A I I A z wk n k
i.e.
, ,2
1
1( , ) ( , )
4
A I A I In nP z w P z w
.
Then Jacobi matrix polynomials satisfies the matrix differential equation:
, ,2
1
1( , ) ( , ) 0
4
A I A I In nP z w P z w
. (2.11)
Also, by putting B=I in the different images of the Jacobi matrix polynomials and
with appropriate differential operators we get similar results for the case A=I.
CONCLUSIONS
In this paper a new comparison has been introduced for studying some important
properties of certain matrix special functions matrix recurrence relations, matrix
differential recurrence relations and matrix differential equation. The method
developed in this paper can also be used to study some other special matrix functions
which play a needful role in Mathematical Physics.
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