José Luis Ponte Bejarano

Dr. José Luis Ponte Bejarano

OTEDA Research Group, Department of Mathematics, National University of Trujillo, Trujillo, La Libertad, Peru
orcid
National University of Trujillo

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 December 2025 in Selecciones Matemáticas
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Journal Article
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DMDepartamento de Matemáticas Instituto de Investigación En Matemáticas
Departamento de Matemáticas Instituto de Investigación En Matemáticas
JBJosé Luis Ponte Bejarano
José Luis Ponte Bejarano
JBJuan Carlos Luis Ponte B
Juan Carlos Luis Ponte B
ACAlexis Rodriguez Carranza
Alexis Rodriguez Carranza
In this research work, shell deformations generated by surface forces acting on the shell are described and simulated. The Naghdi and Koiter models are used to describe shell deformations. A weak formulation for the model is obtained, and some results on the existence of solutions are presented. The finite element method is then used to obtain the deformations. In addition, simulations of shell deformations are shown for the case of sectional curvature k = 0.

1 October 2026 in Dynamics
Verified
Journal Article
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JBJosé Luis Ponte Bejarano
José Luis Ponte Bejarano
JBJuan Carlos Luis Ponte B
Juan Carlos Luis Ponte B
Edmundo Rubén Vergara MorenoEdmundo Rubén Vergara Moreno
Edmundo Rubén Vergara Moreno
EREddy Cristiam Miranda Ramos
Eddy Cristiam Miranda Ramos
EPErico Salomón Durand Pereda
Erico Salomón Durand Pereda
JQJosualdo Carlos Villar Quiroz
Josualdo Carlos Villar Quiroz
This study investigates conditions under which information dimension provides an upper bound for Hausdorff dimension using Shannon entropy and box occupancy. We establish a sufficient entropic condition and introduce the asymptotic entropic quotient, which measures the proportion of maximal entropy retained across scales. Its complement quantifies entropy loss, while its reciprocal defines an entropic correction factor. Cantor-type examples show that the quotient distinguishes distributions sharing the same geometric support. For finite samples, we justify a constrained least-squares estimator and develop a multi-criteria procedure for selecting the principal scaling window. The framework is applied to the Hénon, Lorenz, Ikeda, Rössler, and Chua double-scroll attractors, with sensitivity analyses for sample size and window selection. Estimated entropy losses range from 3.69% to 8.35%, and the entropic quotients remain stable across the tested conditions. The correction improves agreement with the reported Hausdorff dimension for Lorenz. For Hénon, it does not improve that agreement, although both estimates remain compatible with reported fractal dimensions. Results for Ikeda, Rössler, and Chua are consistent in scale with reported dimensions. Overall, the quotient provides distributional information beyond box occupancy and supports a finite-scale interpretation of entropy loss and its associated dimensional correction.