Skip to content
DraconiticResearch
Search Sources API
194,161 studies31 sourcesUpdated 2 min ago
PreprintarXiv licencearXiv

Stability of Multidimensional Linear Discrete Systems

Abstract

We study linear multidimensional discrete systems of the form xα=∑k=1m Akxα−ek, α∈ℕm, with uniformly bounded boundary data prescribed on the codimension-one coordinate faces and attractivity understood in the sense of Pringsheim convergence. We first derive an explicit solution representation in terms of sums of ordered matrix products and introduce a shell decomposition whose associated sums satisfy a one-dimensional affine recursion. Our main result is a generalized Fornasini--Marchesini theorem in arbitrary dimension: asymptotic stability is equivalent to the condition ρ (z1A1 + ⋯ + zm Am )<1 for every |z1| = ⋯ = |zm|=1. We then study the critical spectral boundary, where the maximal toral spectral radius equals one. We prove that a nonsemisimple unimodular eigenvalue of a toral pencil forces instability, yielding necessary spectral conditions for Lyapunov stability. In the simultaneously diagonalizable case, we obtain a complete classification of asymptotically stable, neutrally stable, and unstable systems in terms of the common eigenvalues. Finally, we show that bounds involving only the individual spectral radii can fail outside this setting: even when all coefficient matrices are nilpotent and their spectral radii sum to zero, a critical system may still be unstable.

Related

  1. Stability of Doubly Indexed Discrete Linear Systems
    Alain Bourget, Tyler McMillen
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  2. First Return Time near grazing linear modes of discrete vibro-impact systems
    Huong Le Thi, Stéphane Junca, Mathias Legrand
    HALPreprintCC BY 4.0Full textMathematical physicsHAL
  3. Almost sure exponential stabilization of linear stochastic systems driven by a general α-stable process via discrete-time state feedback
    Xuekang Zhang
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  4. Energy-optimal predictive control of discrete-time port-Hamiltonian systems: Closed-loop practical stability
    Vaibhav Kumar Singh, Manuel Schaller, Timm Faulwasser +1
    arXivPreprintCC BY-NC-ND 4.0Full textOptimisation & controlarXiv
  5. Control, stability, and stabilization of some classes of linear time-delay systems
    Guilherme Mazanti
    arXivPreprintCC BY-NC-ND 4.0Full textDynamical systemsOptimisation & controlarXiv
BibTeX
@misc{bourget2026stability,
  title = {{Stability of Multidimensional Linear Discrete Systems}},
  author = {Alain Bourget and Tyler McMillen},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.34802},
  eprint = {2610.34802},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.34802},
}
RIS
TY  - UNPB
TI  - Stability of Multidimensional Linear Discrete Systems
AU  - Alain Bourget
AU  - Tyler McMillen
PY  - 2026
DA  - 2026/10/26
PB  - arXiv
DO  - 10.48550/arxiv.2610.34802
UR  - https://arxiv.org/abs/2610.34802
AB  - We study linear multidimensional discrete systems of the form x_α=∑_k=1^m A_kx_α−e_k, α∈ℕ^m, with uniformly bounded boundary data prescribed on the codimension-one coordinate faces and attractivity understood in the sense of Pringsheim convergence. We first derive an explicit solution representation in terms of sums of ordered matrix products and introduce a shell decomposition whose associated sums satisfy a one-dimensional affine recursion. Our main result is a generalized Fornasini--Marchesini theorem in arbitrary dimension: asymptotic stability is equivalent to the condition ρ (z_1A_1 + ⋯ + z_m A_m )<1 for every |z_1| = ⋯ = |z_m|=1. We then study the critical spectral boundary, where the maximal toral spectral radius equals one. We prove that a nonsemisimple unimodular eigenvalue of a toral pencil forces instability, yielding necessary spectral conditions for Lyapunov stability. In the simultaneously diagonalizable case, we obtain a complete classification of asymptotically stable, neutrally stable, and unstable systems in terms of the common eigenvalues. Finally, we show that bounds involving only the individual spectral radii can fail outside this setting: even when all coefficient matrices are nilpotent and their spectral radii sum to zero, a critical system may still be unstable.
ER  -