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O. G. Udoaka

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O. G. Udoaka is a registered researcher in their academic field.

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3 research works linked to this profile

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Rhotrix semigroup; extended Green relations; matrix monoid; finite field; rank pair. · 2026 · Ktrend – Nigerian Journal of Mathematical and Computational Sciences

Extended Green Relations and Rank Pair Enumeration in Finite Rhotrix Semigroups

Let $q$ be a prime power and let $T_m(q)$ be the monoid of order-$(2m-1)$ Rhotrix arrays whose row–column multiplication corresponds to componentwise multiplication in $M_m(\mathbb F_q)\times M_{m-1}(\mathbb F_q)$. The extended Green relations $\mathcal L^*$ and $\mathcal R^*$ are characterized by the row and column spaces of both matrix components. Regularity implies $\mathcal L^*=\mathcal L$ and $\mathcal R^*=\mathcal R$, while $\mathcal D^*=\mathcal D=\mathcal J$ is indexed by the pair of component ranks. For each rank pair, closed formulas are derived for the sizes and numbers of $\mathcal L^*$-, $\mathcal R^*$-, and $\mathcal H^*$-classes, the number of idempotents, and the order of every maximal subgroup. The principal ideal order, all two-sided ideals, and a rank-generating polynomial are determined. An exhaustive computation for $T_2(2)$ confirms the formulas and the translation-kernel definitions. These results provide an explicit finite-field structure theory for the specified row–column Rhotrix monoid.

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Research · 2026 · Ktrend - International Journal of Computational Mathematics and Scientific Computing

Fixed-Point Iteration for Nonlinear Volterra Equations in Computational Physics: A Strictly Pseudo-Contractive Mann Framework with Application to Heat Conduction with Memory

Nonlinear Volterra integral equations (VIEs) of the second kind arise in numerous physical contexts, including nonlinear heat conduction with memory, viscoelasticity, and population dynamics. However, when the kernel satisfies only a one-sided Lipschitz condition, classical contraction-based numerical methods fail, and efficient, provably convergent solvers are lacking. In this paper, we develop a fully discrete, computationally efficient numerical scheme for such equations. The method combines an implicit Euler time discretisation with an inexact Mann inner solver that requires no Jacobian evaluations, making it ideally suited for large-scale parallel computations. We establish global convergence of the adaptive, fully discrete scheme under realistic smoothness assumptions, and introduce a novel adaptive time-stepping strategy based on the Mann residual. The performance of the method is demonstrated on a physically motivated model of one-dimensional (1D) nonlinear heat conduction with memory. Extensive numerical comparisons against Picard iteration and Newton’s method show that the Mann-based solver is robust for large time steps, scales efficiently to high-resolution spatial discretisations, and maintains linear convergence rates as predicted by theory. Our open-source implementation provides a practical, ready-to-use tool for the computational physics community, and the framework is easily extended to partial integro-differential equations (PIDEs) and fractional-order memory kernels.

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Volterra integral equation; strictly pseudo-contractive mapping; Mann iteration; one-sided Lipschitz condition; Banach space; numerical analysis; method of lines. · 2026 · African Journal of Mathematics, Statistics and Computer Science

Strictly Pseudo-Contractive Volterra Integral Operators in Banach Spaces: Weak and Strong Convergence of the Mann Iteration with a Numerical Analysis Extension

We study nonlinear Volterra integral equations in uniformly convex Banach spaces $L^p(\Omega)$ $(1