Sheffer-type lacunary bivariate q-Laguerre polynomials with applications to heterogeneous graph filters
Waseem Ahmad Khan , Oğuz Yağcı , Khidir Shaib Mohamed , Azhar Iqbal , Wei Sin Koh , Naglaa Mohammed
Networks and Heterogeneous Media ›› 2026, Vol. 21 ›› Issue (4) : 1393 -1425.
We introduce a lacunary bivariate q-Laguerre–Sheffer family generated by the product of a Sheffer factor, a first q-exponential, and a q-Tricomi–Bessel kernel. The construction has three independent controls: the lacunarity index fixes which powers enter the finite sums, the kernel order changes the Bessel-type shifts, and the Sheffer factor supplies an additional deformation of the sequence. We derive explicit coefficient and convolution formulas, lowering relations, a quasi-monomial operator structure, a q-difference equation, and a q-translation identity. We then evaluate the polynomials at a mass-weighted graph Laplacian associated with heterogeneous network diffusion. This gives polynomial spectral filters whose vertex-domain support is limited to a prescribed graph-hop radius. Numerical examples illustrate the locality bound, spectral response tuning, comparison with a Chebyshev polynomial filter, kernel truncation accuracy, and a one-parameter calibration problem.
q-Laguerre polynomials / m-lacunary polynomials / Sheffer sequences / quasi-monomiality / q-Tricomi–Bessel functions / numerical methods / process innovation / graph Laplacians / heterogeneous networks / spectral graph filters
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