Visualizable Mathematical Structures: A Framework for Evaluating Mathematical Representation in Computer Graphics

  • Evanthios Papadopoulos Laboratory of Interdisciplinary Semantic Interconnected Symbiotic Education Environments, Electrical and Computer Engineering Department, Faculty of Engineering, University of Peloponnese, Greece
  • Ioannis Kougias Laboratory of Interdisciplinary Semantic Interconnected Symbiotic Education Environments, Electrical and Computer Engineering Department, Faculty of Engineering, University of Peloponnese, Greece
Keywords: Visualizable mathematical structures, Computer graphics modeling, Geometric representation, Vector geometry, Computational visualization, Mathematical modeling

Abstract

The relationship between abstract mathematical structures and their graphical representation constitutes a fundamental problem in computer graphics. This paper examines the criteria that allow a mathematical structure to be transformed into a visual form while preserving its intrinsic properties. Emphasis is placed on geometric interpretation, computational realizability, and structural stability. Drawing on principles of vector geometry and spatial modeling, a coherent framework is proposed to identify visualizable structures. The paper further incorporates mathematical examples and schematic descriptions to clarify the transition from formal definition to graphical representation. The results contribute to both theoretical understanding and practical modeling methodologies.

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References

Ascher, U. M. (2019). Discrete processes and their continuous limits. arXiv preprint arXiv:1910.02098.

Carrera, E., Cinefra, M., Petrolo, M., & Zappino, E. (2014). Finite element analysis of structures through unified formulation. John Wiley & Sons.

Cavallo, M. (2021). Higher dimensional graphics: Conceiving worlds in four spatial dimensions and beyond. In Computer Graphics Forum (Vol. 40, No. 2, pp. 51-63).

Cohen, T. S., & Welling, M. (2014). Transformation properties of learned visual representations. arXiv preprint arXiv:1412.7659.

Foley, J. D., van Dam, A., Feiner, S. K., & Hughes, J. F. (1996). Computer graphics: Principles and practice (2nd ed.). Addison-Wesley.

Gal, H., & Linchevski, L. (2010). To see or not to see: analyzing difficulties in geometry from the perspective of visual perception. Educational studies in mathematics, 74(2), 163-183.

Gómez-Chacón, I. M., & Escribano, J. (2014). Geometric Locus activities in a dynamic geometry system. Non-iconic visualization and instrumental genesis. Revista Latinoamericana de Investigación en Matemática Educativa, RELIME, 17(4-2), 361-383.

Hearn, D., & Baker, M. P. (2014). Computer graphics with OpenGL (4th ed.). Pearson.

Hoyrup, M. (2014). Irreversible computable functions. In STACS-31st Symposium on Theoretical Aspects of Computer Science-2014.

Hughes, J. F., van Dam, A., McGuire, M., Sklar, D. F., Foley, J. D., Feiner, S. K., & Akeley, K. (2014). Computer graphics: Principles and practice (3rd ed.). Addison-Wesley.

Janke, S. J. (2014). Mathematical structures for computer graphics. Wiley.

Jia, W., Sun, M., Lian, J., & Hou, S. (2022). Feature dimensionality reduction: a review. Complex & Intelligent Systems, 8(3), 2663-2693.

Kraak, M. J. (2013). Cartography: visualization of spatial data. Routledge.

Kreyszig, E. (2011). Advanced engineering mathematics (10th ed.). Wiley.

Lorensen, W. E., & Cline, H. E. (1987). Marching cubes: A high resolution 3D surface construction algorithm. ACM SIGGRAPH Computer Graphics, 21(4), 163–169. https://doi.org/10.1145/37402.37422

Mancosu, P. (2005). Visualization in logic and mathematics. In Visualization, explanation and reasoning styles in mathematics (pp. 13-30). Dordrecht: Springer Netherlands.

Meinardus, G. (2012). Approximation of functions: Theory and numerical methods. Springer Science & Business Media.

Mortenson, M. E. (2006). Geometric modeling (3rd ed.). Industrial Press.

Munzner, T. (2014). Visualization Analysis and Design.

Pharr, M., Jakob, W., & Humphreys, G. (2016). Physically based rendering: From theory to implementation (3rd ed.). Morgan Kaufmann.

Ren, Y., & Wei, G. W. (2025). Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data. Advanced Intelligent Discovery, e202500207.

Robinson, R. C. (2012). An introduction to dynamical systems: continuous and discrete (Vol. 19). American Mathematical Soc..

Rogers, D. F. (2001). An introduction to NURBS: With historical perspective. Morgan Kaufmann.

Salomon, D. (2012). Computer graphics and geometric modeling. Springer Science & Business Media.

Shirley, P., Marschner, S., & others. (2009). Fundamentals of computer graphics (3rd ed.). A K Peters.

Ware, C. (2021). Information Visualization: Perception for Design.

Published
2026-06-30
How to Cite
Papadopoulos, E., & Kougias, I. (2026). Visualizable Mathematical Structures: A Framework for Evaluating Mathematical Representation in Computer Graphics. European Scientific Journal, ESJ, 22(18), 33. https://doi.org/10.19044/esj.2026.v22n18p33
Section
ESJ Natural/Life/Medical Sciences