Jacobi-Perron Algorithms, Bi-Orthogonal Polynomials and Inverse ...
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Jacobi-Perron Algorithms, Bi-Orthogonal Polynomials and Inverse ...
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Publ. RIMS, Kyoto Univ. 20 (1984), 635-658
Jacobi-Perron Algorithms, Bi-Orthogonal Polynomials and Inverse Scattering Problems By
Yoshifumi KATO* and Kazuhiko AOMOTO**
§ 0.
Introduction
It is well-known that the spectral theory of a Jacobi matrix is essentially equivalent to the theory of orthogonal polynomials with respect to its spectral density on a real interval. This is also related to the Fade approximation of a Stieltjes integral by rational functions which gives us the inverse spectral theory of Jacobi matrices (See [19] and [20]). On the other hand several people have shown that the equations of Toda lattices are described by Lax type formalism of Jacobi matrices and related to its spectral densities (See [2]5 [6], [7], [8] and [10]). It seems to be interesting to ask whether these facts can be generalized to higher order linear difference operators. The purpose of this note is to construct 3rd order linear difference operators by JacobiPerron algorithms as a generalization of continued fractions (See [5]) and to prove an equivalence between linear evolution equations of spectral densities and Lax type equations (See Theorem 1 and 2).
§ 1. Jacobi-Perron Algorithms Let two Radon measures f*o(d£)9 ^i(fl?Q be given on a compact set F in C. We consider the Stieltjes integrals Communicated by S. Hitotumatu, June 1, 1983. * Department of Engineering Mathematics, Faculty of Engineering, Nagoya University, Nagoya 464, Japan. ** Department of Mathematics, Faculty of Science, Nagoya University, Nagoya 464, Japan.
636
YOSHIFUMI KATO AND KAZUHIKO AOMOTO
d.l) which are holomorphic with respect to z^C—P. Then the functions have Laurent expansions at the infinity as follows: (1.2) v=Q
where cjtJ> denote the moments:
(1.3) We assume the following "regularity condition" holds for //0WQ and
.l)
All the determinants of order 2k and 2k + 1 for the sequence
,
....
(1.4)
det
(1.5)
det
are different respectively.
from zero for fc^O.
These will be denoted by D2k and D2k+i
We put DQ to be equal to 1.
We can put , -I r*\
U\
V\
1
such that iii, yi3 wi
ar
° vo\ ^i' ^ described as Laurent series as follows :
(1-7)
where 37_i=lAo,o and ?o = ^i,oAo,o ar*e well-defined. We apply the Jacobi-Perron algorithm of 3rd order (see [5]) to (1.7) at the infinity £ = oo in the following manner :
(1.8)
,
W2
JACOBI-PERRON ALGORITHMS where u2/w2 = 0(z~l) and v2/w2 = 0 UT1). projective transformation MI
=
(1.9)
637
Namely we consider a
' 0 1
0 0
1 a2
^ 0
1
p2z+P'2 .
^ ^2 ^
2
between the points Ui'.vl'.wl and U2'.v2:w2 in CP . also expressed by Laurent series:
u2/w2 and v2/w2 are
W2
(1.10)
-=xj&r-
Then we can define the similar determinants D2k and D2k+i as Z)2fe and D2k+i respectively for the sequence [c'QiV, c'l>v} Q(C?