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The subconstituent algebra of a bipartite distance-regular graph; thin modules with endpoint two
Authors:Mark S. MacLean
Affiliation:a Mathematics Department, Seattle University, 901 Twelfth Avenue, Seattle, WA 98122-1090, USA
b Mathematics Department, University of Wisconsin, 480 Lincoln Drive, Madison, WI 53706-1388, USA
Abstract:We consider a bipartite distance-regular graph Γ with diameter D?4, valency k?3, intersection numbers bi,ci, distance matrices Ai, and eigenvalues θ0>θ1>?>θD. Let X denote the vertex set of Γ and fix xX. Let T=T(x) denote the subalgebra of MatX(C) generated by View the MathML source, where A=A1 and View the MathML source denotes the projection onto the ith subconstituent of Γ with respect to x. T is called the subconstituent algebra (or Terwilliger algebra) of Γ with respect to x. An irreducible T-module W is said to be thin whenever View the MathML source for 0?i?D. By the endpoint of W we mean View the MathML source. Assume W is thin with endpoint 2. Observe View the MathML source is a one-dimensional eigenspace for View the MathML source; let η denote the corresponding eigenvalue. It is known View the MathML source where View the MathML source, and d=⌊D/2⌋. To describe the structure of W we distinguish four cases: (i) View the MathML source; (ii) D is odd and View the MathML source; (iii) D is even and View the MathML source; (iv) View the MathML source. We investigated cases (i), (ii) in MacLean and Terwilliger [Taut distance-regular graphs and the subconstituent algebra, Discrete Math. 306 (2006) 1694-1721]. Here we investigate cases (iii), (iv) and obtain the following results. We show the dimension of W is D-1-e where e=1 in case (iii) and e=0 in case (iv). Let v denote a nonzero vector in View the MathML source. We show W has a basis View the MathML source, where Ei denotes the primitive idempotent of A associated with θi and where the set S is {1,2,…,d-1}∪{d+1,d+2,…,D-1} in case (iii) and {1,2,…,D-1} in case (iv). We show this basis is orthogonal (with respect to the Hermitian dot product) and we compute the square-norm of each basis vector. We show W has a basis View the MathML source, and we find the matrix representing A with respect to this basis. We show this basis is orthogonal and we compute the square-norm of each basis vector. We find the transition matrix relating our two bases for W.
Keywords:primary, 05E30   secondary, 05E35, 05C50
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