Skip to content
DraconiticResearch
Search Sources API
182,549 studies31 sourcesUpdated 32 min ago
PreprintCC BY 4.0arXiv

Endogenous Feedback in Size-Structured Transport Equations

Abstract

We study a nonlinear size-structured transport equation where the endogenous scalar output E(t)=∫l0lmχ(l)x(t,l) dl feeds back into velocity and mortality. This principal-coefficient feedback precludes a semilinear perturbation framework. Freezing the feedback path yields a non-autonomous linear evolution, reducing the closed-loop problem to a scalar Volterra fixed point E=𝒦(E). Mass balance provides an intrinsic feedback interval, while a Bielecki-norm contraction ensures unique nonnegative weak solutions. Stationary equilibria satisfy a scalar closure equation E=Φ(E). We prove uniqueness below the sharp margin 1−Φ'(E)>0 and identify Φ'(E)=1 as a nondegenerate fold threshold. Linearization yields a finite-memory renewal equation with characteristic equation ℰ(λ)=1, whose root set determines the feedback spectrum and stability. Finally, the stationary harvesting adjoint reduces to a rank-one perturbation formula. At zero discount, we establish the identity ℰ(0)=Φ'(E*)=B(0), linking closure resonance, spectral crossing, and adjoint loop gain.

Related

  1. Quadratic G-BSDEs for bond pricing with endogenous short-rate feedback
    Jaehyun Kim, Hyungbin Park
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  2. Fast-Slow Communication with Endogenous Transport
    Lav R. Varshney
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  3. A Symplectic Theory of Turbulence Closure: Hidden Reservoir Dynamics, Endogenous Stochastic Transport, and Kraichnan Dual Cascades
    Mickaël D. Chekroun, James C. McWilliams
    arXivPreprintCC BY 4.0Full textMathematical physicsFluid dynamicsarXiv
  4. Structured Pruning of Feedback Delay Networks
    Facundo Franchino, Karolina Prawda
    arXivPreprintCC BY 4.0Full textNumerical analysis & scientific computingarXiv
  5. Beyond Empirical Support: Structured Outlier Generation via Sinkhorn Optimal Transport
    Haixiang Sun, Andrew L. Liu
    arXivPreprintCC BY 4.0Full textOptimisation & controlStatisticsarXiv
BibTeX
@misc{yu2026endogenous,
  title = {{Endogenous Feedback in Size-Structured Transport Equations}},
  author = {Jiguang Yu and Louis Shuo Wang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2607.02877},
  eprint = {2607.02877},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.02877},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Endogenous Feedback in Size-Structured Transport Equations
AU  - Jiguang Yu
AU  - Louis Shuo Wang
PY  - 2026
DA  - 2026/09/02
PB  - arXiv
DO  - 10.48550/arxiv.2607.02877
UR  - https://arxiv.org/abs/2607.02877
AB  - We study a nonlinear size-structured transport equation where the endogenous scalar output E(t)=∫_l_0^l_mχ(l)x(t,l) dl feeds back into velocity and mortality. This principal-coefficient feedback precludes a semilinear perturbation framework. Freezing the feedback path yields a non-autonomous linear evolution, reducing the closed-loop problem to a scalar Volterra fixed point E=𝒦(E). Mass balance provides an intrinsic feedback interval, while a Bielecki-norm contraction ensures unique nonnegative weak solutions. Stationary equilibria satisfy a scalar closure equation E=Φ(E). We prove uniqueness below the sharp margin 1−Φ'(E)>0 and identify Φ'(E)=1 as a nondegenerate fold threshold. Linearization yields a finite-memory renewal equation with characteristic equation ℰ(λ)=1, whose root set determines the feedback spectrum and stability. Finally, the stationary harvesting adjoint reduces to a rank-one perturbation formula. At zero discount, we establish the identity ℰ(0)=Φ'(E^*)=B(0), linking closure resonance, spectral crossing, and adjoint loop gain.
ER  -