Review

Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models

Volume: 6 Number: 2 January 12, 2026
TR EN

Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models

Abstract

In this study, two fundamental analytical approaches used in solving linear homogeneous differential equation systems with constant coefficients—the classical characteristic equation method and the eigenvalue–eigenvector-based matrix solution method—are comparatively examined through a two-compartment pharmacokinetic model. First, the system was reduced to a single second-order differential equation using the classical method, and the solution was obtained through the characteristic roots. Subsequently, the system was represented in matrix form, and the analytical solution was derived through the use of eigenvalues and eigenvectors. A comparison of both approaches revealed that they yield mathematically equivalent solutions. The comparative analysis indicates that the classical method offers a simpler structure in terms of operational steps for two-compartment pharmacokinetic models, whereas the eigenvalue–eigenvector approach provides a generalizable framework for solving higher-dimensional systems. Overall, the study highlights an interdisciplinary connection between theoretical analysis and modeling applications by comparatively evaluating mathematical methods used in pharmacokinetic systems.

Keywords

References

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Details

Primary Language

English

Subjects

Mathematical Methods and Special Functions

Journal Section

Review

Publication Date

January 12, 2026

Submission Date

November 24, 2025

Acceptance Date

December 30, 2025

Published in Issue

Year 2025 Volume: 6 Number: 2

APA
Munğan, K., & İnan, C. (2026). Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models. International Journal of Mardin Studies, 6(2), 80-97. https://doi.org/10.63046/ijms.1829300
AMA
1.Munğan K, İnan C. Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models. IJMS. 2026;6(2):80-97. doi:10.63046/ijms.1829300
Chicago
Munğan, Kübra, and Cemil İnan. 2026. “Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models”. International Journal of Mardin Studies 6 (2): 80-97. https://doi.org/10.63046/ijms.1829300.
EndNote
Munğan K, İnan C (January 1, 2026) Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models. International Journal of Mardin Studies 6 2 80–97.
IEEE
[1]K. Munğan and C. İnan, “Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models”, IJMS, vol. 6, no. 2, pp. 80–97, Jan. 2026, doi: 10.63046/ijms.1829300.
ISNAD
Munğan, Kübra - İnan, Cemil. “Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models”. International Journal of Mardin Studies 6/2 (January 1, 2026): 80-97. https://doi.org/10.63046/ijms.1829300.
JAMA
1.Munğan K, İnan C. Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models. IJMS. 2026;6:80–97.
MLA
Munğan, Kübra, and Cemil İnan. “Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models”. International Journal of Mardin Studies, vol. 6, no. 2, Jan. 2026, pp. 80-97, doi:10.63046/ijms.1829300.
Vancouver
1.Kübra Munğan, Cemil İnan. Comparison of the Classical Method and the Eigenvalue–Eigenvector Approach in the Analytical Solution of Two-Compartment Pharmacokinetic Models. IJMS. 2026 Jan. 1;6(2):80-97. doi:10.63046/ijms.1829300

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