East West Math
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en-USEast West MathSEVERAL ITERATIVE SCHEMES FOR THE SPLIT FEASIBILITY WITH MULTIPLE OUTPUT SETS AND APPLICATIONS
http://eastwestmath.org/index.php/ewm/article/view/542
<p class="p1">In this paper, for solving the split feasibility problem with multiple</p> <p class="p1">output sets, defined by demiclosed strongly quasi-nonexpansive opera-</p> <p class="p1">tors on Hilbert spaces, we propose some block-iterative schemes, using</p> <p class="p1">the extrapolated Landweber-type operators. The strong convergence is</p> <p class="p1">proved without the boundedly regular condition as well as the closedness</p> <p class="p1">property of the range of the transformation operators, assumed recently</p> <p class="p1">in the literature for the similar problems. We give a necessary and suf-</p> <p class="p1">ficient condition which ensures that a kth iterate is a solution. We also</p> <p class="p1">give an application of our results to solve the multiple-sets split feasibil-</p> <p class="p1">ity problem (MSSFP) with multiple output level sets with computational</p> <p class="p1">experiments for illustration.</p>Nguyen Thi Quynh Anh
Copyright (c) 2026 East West Math
2026-06-222026-06-22271122AN OPERATOR APPROACH TO THREE q-HERMITE POLYNOMIALS IN THE SPIRIT OF CIGLER
http://eastwestmath.org/index.php/ewm/article/view/543
<p class="p1">The purpose of this article is to define and then prove generating func-</p> <p class="p1">tions, operational formulas, power series representations, recurrences, ta-</p> <p class="p1">bles, vector forms, determinant expressions, alternative operator formu-</p> <p class="p1">las, q-Nielsen and Rodriguez formulas for three q-Hermite polynomials.</p> <p class="p1">Some of these polynomials have previously been investigated by Cigler,</p> <p class="p1">Kirschenhofer and D´esarm´enien. Then we prove new q-orthogonality</p> <p class="p1">relations by q-integrals with finite integral limits for one of these poly-</p> <p class="p1">nomials. It turns out that a prerequisite, which is not sufficient, for this</p> <p class="p1">is that the polynomial is of q-Appell form. Therefore, we briefly outline</p> <p class="p1">q-Appell, and pseudo-q-Appell polynomials. We also investigate some</p> <p class="p1">pseudo-q-Hermite polynomials, q-analogues of x<span class="s1">ν </span>, whose orthogonality</p> <p class="p1">with q-integration limits ±1 is equivalent to our q-orthogonality by a</p> <p class="p1">simple change of variables in the q-integral.</p>Thomas Ernst
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2026-06-222026-06-222712347LIE OPERATORS FOR TRUST DYNAMICS ON THE UNIT SPHERE IN COMPLEX NETWORKS
http://eastwestmath.org/index.php/ewm/article/view/545
<p class="p1">This paper is to introduce a geometric framework for trust modeling</p> <p class="p1">in complex networks in which trust states are embedded as unit vectors in</p> <p class="p1">a Hilbert space. Trust evolution is formulated as a continuous dynamical</p> <p class="p1">system generated by Lie operators acting on the unit sphere, ensuring</p> <p class="p1">norm preservation and stability of the representation. We show that</p> <p class="p1">network interactions naturally induce skew-adjoint operators, leading to</p> <p class="p1">flows that correspond to rotations on the trust sphere. This geometric</p> <p class="p1">structure guarantees that trust propagation follows geodesic trajecto-</p> <p class="p1">ries, providing both mathematical consistency and interpretability. The</p> <p class="p1">proposed framework establishes a connection between graph-based inter-</p> <p class="p1">actions, Lie algebraic dynamics, and geometric deep learning. It offers a</p> <p class="p1">principled foundation for modeling trust propagation with stability, in-</p> <p class="p1">variance, and continuous-time dynamics in complex networked systems.</p>Dinh Que Tran
Copyright (c) 2026 East West Math
2026-06-222026-06-222714869HILBERT OPERATOR–BASED TRUST COMPUTATION IN COMPLEX NETWORKS VIA TENSOR STATE REPRESENTATION
http://eastwestmath.org/index.php/ewm/article/view/546
<p class="p1">Trust evaluation plays a central role in complex networks or network-</p> <p class="p1">drived systems such as social networks, collaborative systems, and online</p> <p class="p1">communities. Traditional trust models rely on heuristic propagation rules</p> <p class="p1">that do not fully exploit netwrok heterogeneous data. This paper pro-</p> <p class="p1">poses a mathematical framework for trust computation based on Hilbert</p> <p class="p1">space operators. The framework transforms user features of networks into</p> <p class="p1">tensor representations, constructs trust states from these tensors, and</p> <p class="p1">models trust propagation through bounded operators in Hilbert spaces.</p> <p class="p1">A numerical example illustrates the complete pipeline from features to</p> <p class="p1">trust scores.</p>Dinh Que Tran
Copyright (c) 2026 East West Math
2026-06-222026-06-222717080