🔢 mathematics

When Are AI Explanations Recoverable? Identifiability, Stability, and Transfer from an Inverse-Problem Perspective

This paper establishes a mathematical framework for determining the recoverability of AI explanations by formulating them as inverse problems, deriving a complete trichotomy of identifiability and stability conditions for linear and nonlinear systems, and providing explicit bounds that distinguish intrinsic underdetermination from algorithmic variability.

Chibuike Chiedozie Ibebuchi2026-08-24
🔢 mathematics

Regularization and Stability-Bifurcation-Chaos Trilogy for Caputo Fractional Replicator Dynamics with Global Lipschitz Guarantees

This paper introduces a regularized three-dimensional Caputo fractional replicator system with emotional factors that resolves the inherent singularity at the origin, establishes global Lipschitz continuity, and analytically characterizes the complete dynamical transition from stability to chaos through Hopf bifurcation and chaos certification, all validated against unregularized models and empirical behavioral data.

Tongxing Li, Yongfeng Zhang, Xiaodong Zhao, Jianzhong Zhang, Chengdai Huang2026-08-23
🔢 mathematics

Dynamic Software in Mathematics Education Scoping Review and Bibliometric Analysis (ScoRBA)

This bibliometric study of 203 Scopus articles from 2011 to 2025 reveals a significant upward trend in research on dynamic software in mathematics education, highlighting GeoGebra as a dominant theme while identifying key gaps in computational thinking integration, adaptive learning, and primary school contexts.

Hodiyanto Hodiyanto, Patrick Kyeremeh, Yunda Selvia, Sudriman Sudriman, Gemi Susanti, Siti Suprihatiningsih2026-08-18