Recognition: 2 theorem links
· Lean TheoremOn the Nonexistence of Continuous Immersions for Discrete-time Systems
Pith reviewed 2026-05-15 02:58 UTC · model grok-4.3
The pith
Discrete-time systems with countably many but more than one omega-limit sets cannot be continuously and injectively immersed into finite-dimensional linear systems.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
If a discrete-time system has more than one but at most countably many omega-limit sets, then no continuous injective immersion into the state space of a finite-dimensional linear system exists. The argument adapts topological properties of limit sets under continuous injections to the discrete-time iteration, showing that linearity forces a contradiction once multiple distinct limit sets are present. The same nonexistence holds when the sets in question are alpha-limit sets.
What carries the argument
Continuous one-to-one immersion mapping that must preserve discrete-time iteration while sending the nonlinear state space into a linear one.
If this is right
- The same obstruction applies when alpha-limit sets replace omega-limit sets.
- Any discrete-time system with multiple distinct omega-limit sets lies outside the class that can be analyzed via linear immersion.
- Linear-system methods cannot be applied through immersion to systems whose attractors form a countably infinite but non-singleton collection.
- The result supplies concrete examples where the nonexistence is immediate.
Where Pith is reading between the lines
- Relaxing continuity might allow immersions for some of these systems, though the paper does not investigate that relaxation.
- The obstruction could extend to switched or hybrid discrete systems whose modes produce multiple limit sets.
- Immersions into infinite-dimensional linear systems remain conceivable but are outside the paper's finite-dimensional scope.
Load-bearing premise
Any candidate immersion is required to be both continuous and one-to-one, while the system possesses countably many distinct omega-limit sets.
What would settle it
Explicit construction of a continuous injective mapping that immerses a concrete discrete-time system known to have multiple omega-limit sets into the trajectories of some finite-dimensional linear system.
Figures
read the original abstract
Understanding when linear immersions of nonlinear dynamical systems exist is important since such immersions allow us to leverage the rich tools of linear system theory to analyze nonlinear dynamics. Recently, Liu et al. (2023) showed that continuous-time dynamical systems that admit countably many but more than one omega-limit sets cannot be immersed into finite dimensional linear systems with a one-to-one and continuous mapping. In this paper, we extend these results to discrete-time dynamics and show that similar obstructions exist also in discrete time. We further consider a generalization involving alpha-limit sets. Several examples are provided to demonstrate the results.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper extends the nonexistence result of Liu et al. (2023) from continuous-time to discrete-time nonlinear systems: a continuous injective immersion h into a finite-dimensional linear system cannot exist when the discrete dynamics possess countably many but more than one distinct ω-limit sets. The argument relies on the fact that such an h would map ω-limit sets injectively to ω-limit sets of the linear map, which cannot realize exactly countably many distinct attractors. A parallel obstruction is derived for α-limit sets, and several concrete discrete-time examples are supplied to illustrate the claim.
Significance. If the topological argument holds, the result supplies a clean, parameter-free obstruction that limits the applicability of linear immersion techniques to discrete-time nonlinear systems possessing multiple countable limit sets. It directly parallels the continuous-time case, supplies explicit examples, and thereby sharpens the boundary between systems that can and cannot be analyzed via finite-dimensional linear models.
major comments (2)
- [§3] §3, proof of Theorem 1: the step asserting that a continuous injective h maps distinct ω-limit sets of the nonlinear system to distinct ω-limit sets of the linear map A is load-bearing; the manuscript should explicitly invoke the invariance of ω-limit sets under the discrete iteration and confirm that the target space is Hausdorff so that distinct closed sets remain separated after the image.
- [§4] §4, Theorem 2 (α-limit generalization): the argument assumes the immersion is globally defined and one-to-one on the whole state space; if the result is intended only for global immersions, this should be stated explicitly, as local immersions might evade the countable-limit-set obstruction.
minor comments (2)
- [Introduction] The abstract and introduction cite Liu et al. (2023) but do not give the precise statement of the continuous-time theorem being extended; adding a one-sentence recap would improve readability.
- [Examples] In the examples, the state space and the precise form of the discrete map f should be written with explicit coordinates rather than relying on verbal description alone.
Simulated Author's Rebuttal
We thank the referee for the careful reading and constructive feedback on our manuscript extending the nonexistence result to discrete-time systems. We have revised the paper to incorporate the suggested clarifications in the proofs and theorem statements. Our point-by-point responses follow.
read point-by-point responses
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Referee: [§3] §3, proof of Theorem 1: the step asserting that a continuous injective h maps distinct ω-limit sets of the nonlinear system to distinct ω-limit sets of the linear map A is load-bearing; the manuscript should explicitly invoke the invariance of ω-limit sets under the discrete iteration and confirm that the target space is Hausdorff so that distinct closed sets remain separated after the image.
Authors: We agree that this step requires additional explicit justification. In the revised manuscript, we have added a sentence invoking the forward-invariance of ω-limit sets under the discrete iteration map and noted that the codomain (finite-dimensional Euclidean space) is Hausdorff. This ensures that the continuous injective image of distinct compact ω-limit sets remains a pair of distinct compact sets, preserving the contradiction with the linear dynamics. The change is confined to a short clarifying paragraph in the proof of Theorem 1. revision: yes
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Referee: [§4] §4, Theorem 2 (α-limit generalization): the argument assumes the immersion is globally defined and one-to-one on the whole state space; if the result is intended only for global immersions, this should be stated explicitly, as local immersions might evade the countable-limit-set obstruction.
Authors: We concur. Theorem 2 and its proof are formulated for globally defined continuous injective immersions. In the revised version we have inserted an explicit sentence in the statement of Theorem 2 and in the opening paragraph of §4 clarifying that the result applies only to global immersions and that the obstruction may not hold for merely local immersions. No other changes to the argument were required. revision: yes
Circularity Check
No significant circularity
full rationale
The derivation adapts the topological obstruction from Liu et al. (2023) to discrete time by showing that a continuous injective immersion h would map distinct omega-limit sets of the nonlinear system to distinct omega-limit sets of the target linear system A. Finite-dimensional linear maps realize either a single omega-limit set or uncountably many (e.g., concentric circles under rotation), so countably many but more than one is impossible. This uses only standard facts about omega-limit sets and continuity of h, with no fitted parameters, self-definitional equations, or load-bearing self-citations. The alpha-limit generalization and examples follow identically. The central claim therefore remains independent of its inputs.
Axiom & Free-Parameter Ledger
axioms (2)
- standard math Omega-limit sets are nonempty, compact, and invariant for continuous maps on metric spaces.
- domain assumption A continuous one-to-one immersion into a linear system preserves the number and separation of limit sets.
Lean theorems connected to this paper
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IndisputableMonolith/Foundation/RealityFromDistinction.leanreality_from_one_distinction unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Suppose that conditions (T2′) and (T3′) hold. If X contains more than one ω-limit set, then this system on X cannot be immersed by a continuous one-to-one immersion F in a system with closed basins
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IndisputableMonolith/Foundation/AlexanderDuality.leanalexander_duality_circle_linking unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
F(X) is a disjoint union of a countable collection of closed sets... only one of the sets... can be nonempty
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
-
[1]
On the Nonexistence of Continuous Immersions for Discrete-time Systems , booktitle =
Ristich, Eron and Sontag, Eduardo and Ozay, Necmiye , year =. On the Nonexistence of Continuous Immersions for Discrete-time Systems , booktitle =
-
[2]
Proceedings of the American Mathematical Society , volume=
A lemma in the theory of structural stability of differential equations , author=. Proceedings of the American Mathematical Society , volume=. 1960 , publisher=
work page 1960
-
[3]
Doklady Akademii Nauk SSSR , volume=
Homeomorphism of systems of differential equations , author=. Doklady Akademii Nauk SSSR , volume=
-
[4]
Chaos: An Interdisciplinary Journal of Nonlinear Science , volume=
Applied koopmanism , author=. Chaos: An Interdisciplinary Journal of Nonlinear Science , volume=. 2012 , publisher=
work page 2012
-
[5]
Koopman operator in systems and control , author=. 2020 , publisher=
work page 2020
-
[6]
Computation of invariant sets via immersion for discrete-time nonlinear systems , author=. Automatica , volume=. 2023 , publisher=
work page 2023
-
[7]
Linearizability of flows by embeddings , author=. Selecta Mathematica , year=
-
[8]
Van Den Essen, Arno , journal=. Locally finite and locally nilpotent derivations with applications to polynomial flows, morphisms and
- [9]
-
[10]
Proceedings of the National Academy of Sciences , volume=
Hamiltonian systems and transformation in Hilbert space , author=. Proceedings of the National Academy of Sciences , volume=
-
[11]
Journal of Nonlinear Science , volume=
A data--driven approximation of the koopman operator: Extending dynamic mode decomposition , author=. Journal of Nonlinear Science , volume=. 2015 , publisher=
work page 2015
-
[12]
IEEE Transactions on Automatic Control , volume=
Learning Koopman eigenfunctions and invariant subspaces from data: Symmetric subspace decomposition , author=. IEEE Transactions on Automatic Control , volume=. 2021 , publisher=
work page 2021
-
[13]
Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control , author=. PloS one , volume=. 2016 , publisher=
work page 2016
-
[14]
Annual Reviews in Control , volume=
Koopman operator dynamical models: Learning, analysis and control , author=. Annual Reviews in Control , volume=. 2021 , publisher=
work page 2021
- [15]
-
[16]
Lee, John M. , editor =. Connectedness and. Introduction to. 2011 , keywords =
work page 2011
-
[17]
Un théoreme sur les continus , journal =
Sierpiński, Waclaw , year =. Un théoreme sur les continus , journal =
-
[18]
Alligood, Kathleen T. and Sauer, Tim D. and Yorke, James A. , month = sep, year =. Chaos:
-
[19]
Properties of immersions for systems with multiple limit sets with implications to learning. Automatica , author =. 2025 , keywords =
work page 2025
-
[20]
Rockafellar, R. Tyrrell and Wets, Roger J. B. , editor =. Variational. 1998 , keywords =
work page 1998
-
[21]
Rockafellar, R. Tyrrell and Wets, Roger J. B. , year =. Set. Variational
-
[22]
and Smale, Stephen and Devaney, Robert L
Hirsch, Morris W. and Smale, Stephen and Devaney, Robert L. , year =. Differential equations, dynamical systems, and an introduction to chaos , isbn =
-
[23]
Sanfelice, Ricardo G. , month = dec, year =. Asymptotic properties of solutions to set dynamical systems , url =. 53rd
- [24]
-
[25]
Gallot, Sylvestre and Hulin, Dominique and Lafontaine, Jacques , year =. Riemannian
-
[26]
Alligood, K.T., Sauer, T.D., and Yorke, J.A. (2000). Chaos: An Introduction to Dynamical Systems . Springer
work page 2000
-
[27]
Bevanda, P., Sosnowski, S., and Hirche, S. (2021). Koopman operator dynamical models: Learning, analysis and control. Annual Reviews in Control, 52, 197--212
work page 2021
-
[28]
Brunton, S.L., Brunton, B.W., Proctor, J.L., and Kutz, J.N. (2016). Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control. PloS one, 11(2), e0150171
work page 2016
-
[29]
Gallot, S., Hulin, D., and Lafontaine, J. (2004). Riemannian Geometry . Universitext. Springer
work page 2004
-
[30]
Haseli, M. and Cort \'e s, J. (2021). Learning koopman eigenfunctions and invariant subspaces from data: Symmetric subspace decomposition. IEEE Transactions on Automatic Control, 67(7), 3442--3457
work page 2021
-
[31]
Hirsch, M.W., Smale, S., and Devaney, R.L. (2013). Differential equations, dynamical systems, and an introduction to chaos. Academic Press, 3rd edition
work page 2013
-
[32]
Koopman, B.O. (1931). Hamiltonian systems and transformation in hilbert space. Proceedings of the National Academy of Sciences, 17(5), 315--318
work page 1931
-
[33]
Kvalheim, M.D. and Arathoon, P. (2026). Linearizability of flows by embeddings. Selecta Mathematica
work page 2026
-
[34]
Liu, Z., Ozay, N., and Sontag, E.D. (2023). On the Non - Existence of Immersions for Systems with Multiple Omega - Limit Sets . IFAC-PapersOnLine, 56(2), 60--64
work page 2023
-
[35]
Liu, Z., Ozay, N., and Sontag, E.D. (2025). Properties of immersions for systems with multiple limit sets with implications to learning Koopman embeddings. Automatica, 176, 112226
work page 2025
-
[36]
Mauroy, A., Susuki, Y., and Mezic, I. (2020). Koopman operator in systems and control, volume 7. Springer
work page 2020
-
[37]
Sierpiński, W. (1918). Un théoreme sur les continus. Tohoku Mathematical Journal, First Series, 13, 300--303
work page 1918
-
[38]
Sontag, E.D. (1979). Polynomial response maps. Springer
work page 1979
-
[39]
Van Den Essen, A. (1994). Locally finite and locally nilpotent derivations with applications to polynomial flows, morphisms and G _a -actions. ii. Proceedings of the American Mathematical Society, 121(3), 667--678
work page 1994
-
[40]
Wang, Z., Jungers, R.M., and Ong, C.J. (2023). Computation of invariant sets via immersion for discrete-time nonlinear systems. Automatica, 147, 110686
work page 2023
-
[41]
Williams, M.O., Kevrekidis, I.G., and Rowley, C.W. (2015). A data--driven approximation of the koopman operator: Extending dynamic mode decomposition. Journal of Nonlinear Science, 25(6), 1307--1346
work page 2015
-
[42]
On the. IFAC-PapersOnLine , author =. 2023 , keywords =. doi:10.1016/j.ifacol.2023.10.1408 , abstract =
discussion (0)
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