The structure of a tridiagonal pair

نویسندگان

  • Kazumasa Nomura
  • Paul Terwilliger
چکیده

Let K denote a field and let V denote a vector space over K with finite positive dimension. We consider a pair of K-linear transformations A : V → V and A : V → V that satisfy the following conditions: (i) each of A,A is diagonalizable; (ii) there exists an ordering {Vi} d i=0 of the eigenspaces of A such that A Vi ⊆ Vi−1+Vi+Vi+1 for 0 ≤ i ≤ d, where V−1 = 0 and Vd+1 = 0; (iii) there exists an ordering {V ∗ i } δ i=0 of the eigenspaces of A such that AV ∗ i ⊆ V ∗ i−1 +V ∗ i +V ∗ i+1 for 0 ≤ i ≤ δ, where V ∗ −1 = 0 and V ∗ δ+1 = 0; (iv) there is no subspace W of V such that AW ⊆ W , A W ⊆ W , W 6= 0, W 6= V . We call such a pair a tridiagonal pair on V . It is known that d = δ and for 0 ≤ i ≤ d the dimensions of Vi, Vd−i, V ∗ i , V ∗ d−i coincide. In this paper we show that the following (i)–(iv) hold provided that K is algebraically closed: (i) Each of V0, V ∗ 0 , Vd, V ∗ d has dimension 1. (ii) There exists a nondegenerate symmetric bilinear form 〈 , 〉 on V such that 〈Au, v〉 = 〈u,Av〉 and 〈Au, v〉 = 〈u,Av〉 for all u, v ∈ V . (iii) There exists a unique anti-automorphism of End(V ) that fixes each of A,A. (iv) The pair A,A is determined up to isomorphism by the data ({θi} d i=0; {θ ∗ i } d i=0; {ζi} d i=0), where θi (resp. θ ∗ i ) is the eigenvalue of A (resp. A ) on Vi (resp. V ∗ i ), and {ζi} d i=0 is the split sequence of A,A corresponding to {θi} d i=0 and {θ ∗ i } d i=0.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ul 2 00 3 Two linear transformations each tridiagonal with respect to an eigenbasis of the other ; an overview

Let K denote a field and let V denote a vector space over K with finite positive dimension. We consider an ordered pair of linear transformations A : V → V and A∗ : V → V that satisfy conditions (i), (ii) below. (i) There exists a basis for V with respect to which the matrix representing A is irreducible tridiagonal and the matrix representing A∗ is diagonal. (ii) There exists a basis for V wit...

متن کامل

1 1 M ay 2 00 6 Linear transformations that are tridiagonal with respect to both eigenbases of a Leonard pair

Let K denote a field, and let V denote a vector space over K with finite positive dimension. We consider a pair of linear transformations A : V → V and A∗ : V → V that satisfy (i) and (ii) below: (i) There exists a basis for V with respect to which the matrix representing A is irreducible tridiagonal and the matrix representing A∗ is diagonal. (ii) There exists a basis for V with respect to whi...

متن کامل

On the nonnegative inverse eigenvalue problem of traditional matrices

In this paper, at first for a given set of real or complex numbers $sigma$ with nonnegative summation, we introduce some special conditions that with them there is no nonnegative tridiagonal matrix in which $sigma$ is its spectrum. In continue we present some conditions for existence such nonnegative tridiagonal matrices.

متن کامل

The structure of a pair of nilpotent Lie algebras

Assume that $(N,L)$, is a pair of finite dimensional nilpotent Lie algebras, in which $L$ is non-abelian and $N$ is an ideal in $L$ and also $mathcal{M}(N,L)$ is the Schur multiplier of the pair $(N,L)$. Motivated by characterization of the pairs $(N,L)$ of finite dimensional nilpotent Lie algebras by their Schur multipliers (Arabyani, et al. 2014) we prove some properties of a pair of nilpoten...

متن کامل

The Inverse Eigenvector Problem for Real Tridiagonal Matrices

A little known property of a pair of eigenvectors (column and row) of a real tridiagonal matrix is presented. With its help we can define necessary and sufficient conditions for the unique real tridiagonal matrix for which an approximate pair of complex eigenvectors are exact. Similarly we can designate the unique real tridiagonal matrix for which two approximate real eigenvectors, with differe...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008