2012
DOI: 10.1007/s11139-011-9359-1
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Partially 2-colored permutations and the Boros–Moll polynomials

Abstract: We find a combinatorial setting for the coefficients of the Boros-Moll polynomials P m (a) in terms of partially 2-colored permutations. Using this model, we give a combinatorial proof of a recurrence relation on the coefficients of P m (a). This approach enables us to give a combinatorial interpretation of the log-concavity of P m (a) which was conjectured by Moll and confirmed by Kauers and Paule.

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Cited by 4 publications
(4 citation statements)
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“…Kauers and Paule [17] proved this conjecture based on recurrence relations which were found by using a computer algebra approach. Chen, Pang and Qu [11] gave a combinatorial proof of the log-concavity of P m (a) by introducing the structure of partially 2-colored permutations. Chen and Gu [9] proved the reverse ultra log-concavity of the sequence {d i (m)} 0≤i≤m .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Kauers and Paule [17] proved this conjecture based on recurrence relations which were found by using a computer algebra approach. Chen, Pang and Qu [11] gave a combinatorial proof of the log-concavity of P m (a) by introducing the structure of partially 2-colored permutations. Chen and Gu [9] proved the reverse ultra log-concavity of the sequence {d i (m)} 0≤i≤m .…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al . [15] found a combinatorial proof of the log-concavity of P m (a) by introducing the structure of partially 2-coloured permutations. Chen and Gu [10] proved the reverse ultra log-concavity of the sequence {d i (m)} 0 i m .…”
Section: Introductionmentioning
confidence: 99%
“…Hence P n (x) are log-concave and ratio monotone. A combinatorial interpretation of the log-concavity of P n (x) has been found by Chen, Pang and Qu [5].…”
Section: Introductionmentioning
confidence: 77%
“…Log-convex sequences have also received attention (e.g., [9,10]). Some combinatorial proofs for them have emerged in turn (e.g., [8,58]). Log-concavity of the convolution of sequences has been studied in [3,Section 6] implicitly.…”
Section: Introductionmentioning
confidence: 99%