G-Calculus in Economic Growth Models: A Mathematical Framework
Main Article Content
Abstract
Economic growth models are essential for understanding the long-term dynamics of economies, yet traditional models often rely on classical differential and integral calculus, which may inadequately represent discrete, nonlinear, or growth-oriented phenomena. This study aims to introduce G-Calculus (Geometric Calculus), an extension of non-Newtonian calculus, as an alternative analytical framework that is particularly effective for modeling multiplicative and exponential growth systems. We present the theoretical underpinnings of G-Calculus and apply it to established economic growth frameworks, such as the Solow model and endogenous growth theory. By utilizing a comparative analysis, we evaluate the performance of G-Calculus in capturing economic dynamics, revealing significant advantages in terms of both accuracy and applicability. The findings indicate that G-Calculus provides a more natural and effective representation of economic growth processes, thereby enhancing the analytical capabilities of economists. This study contributes to the existing literature by offering a novel perspective on economic modeling, suggesting that G-Calculus can be a valuable tool for researchers and policymakers aiming to gain deeper insights into economic development.
Downloads
Article Details

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
[2] Bashirov, A.E., Kurpınar, E.M. & A. Özyapıcı (2008). Multiplicative calculus and its applications. Journal of Mathematical Analysis and Applications, 337(1):36–48,
[3] Bashirov, A. E. Mısırlı, Y. Tandoğdu, & A. Özyapıcı. (2011). On modeling with multiplicative differential equations. Applied Mathematics-A Journal of Chinese Universities, 26(4):425–438.
[4] Riza, M. Özyapici, A. & Misirli. E. (2009). Multiplicative finite difference methods. Quarterly of Applied Mathematics, 67(4):745.
[5] Emine M. &Yusuf G. (2011). Multiplicative adams bashforth–moulton methods. Numerical Algorithms, 57(4):425–439.
[6] Emine M.& Ozyapici. A. (2009). Exponential approximations on multiplicative calculus. Proc. Jangjeon Math. Soc., 12(2):227–236, ISSN 1598-7264.
[7] Özyapıcı, A. Riza, M. Bilgehan, B. &Bashirov. A.E. (2011). On multiplicative and volterra minimization methods. Numerical Algorithms, pages 1–14, 201
[8] Florack, L. & Assen. H. V. (2012). Multiplicative calculus in biomedical image analysis. Journal of Mathematical Imaging and Vision, 42(1):64–75.
[9] Florack. L. (2012). Regularization of positive definite matrix fields based on multiplicative calculus. In Alfred M. Bruckstein, Bart M. Haar Romeny, Alexander M. Bronstein, and Michael M. Bronstein, editors, Scale Space and Variational Methods in Computer Vision, volume 6667 of Lecture Notes in Computer Science, 786–796. Springer Berlin Heidelberg. ISBN 978-3-642-24784-2
[10] Bashirov, A. & Riza. M. (2011). Complex multiplicative calculus. arXiv preprint arXiv:1103.1462.
[11] Bashirov, A.E. & Riza. M. (2011). On complex multiplicative differentiation. TWMS Journal of Applied and Engineering Mathematics, 1(1):51–61.
[12] A.E. Bashirov, A.E. & Riza. M. (2010). On complex multiplicative integration. Mediterranean Journal of Mathematics, (submitted), 2013 Computers & Mathematics with Applications, 60(10):2725–2737.
[13] Kumar, N.K. (2022). Derivative and it's Real Life Applications. A Mini-Research Report Submitted to the Research Directorate, Rector's Office Tribhuvan University, Nepal.
[14] Kumar, N.K. & Singh, P. (2023). Symmetry in the context of the strongly ⋆- graph, Cube Difference Labeling graph, Triangular Snake graph, and Theta graph. Journal of Scientific Research, BHU, India,67(4),52-57. DOI: doi.org.10.37398/JSR.2023.67040
[15] Kumar, N. k. Chudamani, P. & Sahani, S. K. (2024). Theorem of Cantor and Dedekind and its equivalence. Available at SSRN: DOI: 10.2139/ssrn.4729948
[16] Kumar, N. K. & Sahani, S. K. (2024). Mu ̈ntz’s Theorem in 2-inner product spaces and it’s Applications in Economics. Journal of Multi-disciplinary Sciences, Mikailalsys, 2(3), 543-552. https://doi.org/10.58578/mikailalsys.v2i3.3991
[17] Kumar, N. K. & Sahani, S. K. (2025). A Solution of Airy Differential Equation Via Elzaki Transform. Kwaghe International Journal of Engineering and Information Technology, 2(1). https://doi.org /10.58578/kijeit.v2i1.4534 https://doi.org/10.58578/kijeit.v2i1.4534
[18] Kumar, N.K. (2023). Poverty in Tharu Community of Rautahat District of Nepal. An Unpublished Ph.D. Dissertation Submitted to the Tribhuvan University, Nepal.
[19] Kumar, N.K. (2023). Poverty in Tharu Community of Rautahat District of Nepal. An Unpublished Ph.D. Dissertation Submitted to the Tribhuvan University, Nepal.
[20] Kumar, N. K. (2019). Poverty Profile and Poverty Measurement Technique of Nepal. PYC Nepal Journal of Management, 12(1), https://www.nepjol.info>article> download,e-ISSN (online): 2738-9847.
[21] Kumar, N.K. (2007). Poverty in Tharu community: a case study of Rautahat District, Nepal Technical Report number: SIRF/AG/06/01.Affiliation: SNV Development Organization




















