2012
DOI: 10.1007/s10801-012-0401-1
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Bipartite Q-polynomial distance-regular graphs and uniform posets

Abstract: Let Γ denote a bipartite distance-regular graph with vertex set X and diameter D ≥ 3. Fix x ∈ X and let L (resp. R) denote the corresponding lowering (resp. raising) matrix. We show that each Q-polynomial structure for Γ yields a certain linear dependency among RL 2 , LRL, L 2 R, L. Define a partial order ≤ on X as follows. For y, z ∈ X let y ≤ z whenever ∂(x, y) + ∂(y, z) = ∂(x, z), where ∂ denotes path-length distance. We determine whether the above linear dependency gives this poset a uniform or strongly un… Show more

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Cited by 13 publications
(12 citation statements)
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“…Equation (18) follows from this along with (7), (8) and Definition 4.2. Combining (9), (10), (18) we obtain (19). In (19), apply the transpose to each side and use S t = S, L t = R to get (20).…”
Section: The Matrix Smentioning
confidence: 92%
See 1 more Smart Citation
“…Equation (18) follows from this along with (7), (8) and Definition 4.2. Combining (9), (10), (18) we obtain (19). In (19), apply the transpose to each side and use S t = S, L t = R to get (20).…”
Section: The Matrix Smentioning
confidence: 92%
“…In [36], Worawannotai found another family of uniform posets using the polar spaces. For each bipartite Q-polynomial distance-regular graph, Miklavič and Terwilliger [18] considered a poset on its vertex set. They found necessary and sufficient conditions for this poset to be uniform.…”
Section: Introductionmentioning
confidence: 99%
“…In (38), evaluate θ * i+1 − θ * i using (14) and evaluate φ i+1 using (16). Simplify the result to get (35).…”
Section: (38)mentioning
confidence: 99%
“…So it is natural to compute the irreducible T -modules. These modules are important in the study of hypercubes [14,26], dual polar graphs [20,38], spin models [6,10], codes [13,28], the bipartite property [3,4,9,16,21,22,23,25,27], the almost-bipartite property [5,8,17], the Q-polynomial property [3,7,11,12,18,19,27,33], and the thin property [15,24,30,31,32,34,36,37].…”
Section: Introductionmentioning
confidence: 99%