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Tridiagonal pairs of shape (1, 2, 1)
Authors:Melvin A Vidar  
Institution:

aMath and Statistics Department, College of Arts and Sciences, University of the East-Manila, Recto Avenue, Manila, Philippines

Abstract:Let View the MathML source denote a field and let V denote a vector space over View the MathML source with finite positive dimension. We consider a pair of linear transformations A:VV and A*:VV that satisfies the following conditions: (i) each of A,A* is diagonalizable; (ii) there exists an ordering View the MathML source of the eigenspaces of A such that A*Visubset of or equal toVi-1+Vi+Vi+1 for 0less-than-or-equals, slantiless-than-or-equals, slantd, where V-1=0 and Vd+1=0; (iii) there exists an ordering View the MathML source of the eigenspaces of A* such that View the MathML source for 0less-than-or-equals, slantiless-than-or-equals, slantδ, where View the MathML source and View the MathML source; (iv) there is no subspace W of V such that AWsubset of or equal toW, A*Wsubset of or equal toW, W≠0,WV. We call such a pair a tridiagonal pair on V. It is known that d=δ and that for 0less-than-or-equals, slantiless-than-or-equals, slantd the dimensions of View the MathML source coincide; we denote this common value by ρi. The sequence View the MathML source is called the shape of the pair. In this paper we assume the shape is (1,2,1) and obtain the following results. We describe six bases for V; one diagonalizes A, another diagonalizes A*, and the other four underlie the split decompositions for A,A*. We give the action of A and A* on each basis. For each ordered pair of bases among the six, we give the transition matrix. At the end we classify the tridiagonal pairs of shape (1,2,1) in terms of a sequence of scalars called the parameter array.
Keywords:Tridiagonal pair  Leonard pair  Orthogonal polynomial
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