Well-Posedness of Flux–Fractional Compartment Models and Their State Sensitivity Systems

We studied flux–fractional compartment models with Caputo memory terms and their associated state sensitivity systems. The state, classical parameter sensitivities, and fractional-order sensitivity are formulated within a unified linear Volterra framework. Using a Sobolev-space formulation and an equivalent Bielecki norm, we establish existence and uniqueness in W1,p(0,T;H) on arbitrary finite time intervals. We further prove continuous differentiability of the parameter-to-solution map and derive a dimensionally consistent fractional-order sensitivity involving a dimensionless logarithmic kernel. The theory is illustrated by a one-compartment model with explicit Mittag–Leffler representations and relative sensitivity analysis.

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Publication Details

Journal
Mathematics
Published
2026-09-11
DOI
https://doi.org/10.3390/math14183301
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

Well-Posedness of Flux–Fractional Compartment Models and Their State Sensitivity Systems

Mostafa Bachar
Mathematics
Fractional Differential Equations Solutions
article

Well-Posedness of Flux–Fractional Compartment Models and Their State Sensitivity Systems

Mostafa Bachar
article en

Abstract

We studied flux–fractional compartment models with Caputo memory terms and their associated state sensitivity systems. The state, classical parameter sensitivities, and fractional-order sensitivity are formulated within a unified linear Volterra framework. Using a Sobolev-space formulation and an equivalent Bielecki norm, we establish existence and uniqueness in W1,p(0,T;H) on arbitrary finite time intervals. We further prove continuous differentiability of the parameter-to-solution map and derive a dimensionally consistent fractional-order sensitivity involving a dimensionless logarithmic kernel. The theory is illustrated by a one-compartment model with explicit Mittag–Leffler representations and relative sensitivity analysis.

MathematicsVol. 14(18)
King Saud University (SA)
King Saud University
Reduced inequalities
Openalex Percentile: Top 12%
Fractional Differential Equations Solutions
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