<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mn>1</mml:mn><mml:mo>∕</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:math>noise in a thin stochastic layer described by the discrete nonlinear Schrödinger equation
Bibliographic record
Abstract
We investigate the nonlinear dynamics in a trimer, described by the one-dimensional discrete nonlinear Schrödinger equation, with periodic boundary conditions in the presence of a single on-site defect. We make use of numerical continuation to study different families of stationary and periodic solutions in this Hamiltonian system. Taking into account a suitable Poincaré section, we are able to study the dynamics of a generic thin stochastic layer in this conservative system. Our results strongly suggest that intermittency, on the one hand, and transport between two almost invariant sets, on the other hand, are relevant features of the chaotic dynamics. This behavior arises as a result of the formation of the above mentioned stochastic layer connecting two hyperbolic fixed points of the Poincaré return map. We find that the transit times, the time intervals to traverse some suitable sets in phase space, generate 1/f noise. Its origin is explained in terms of a hopping mechanism in a suitable discrete state space of transit times. A qualitatively similar behavior is also found in the standard map, which shows the generic nature of this mechanism. As a physical application of our results, we consider a possible experiment in a ring of weakly coupled Bose-Einstein condensates (BECs) with attractive interactions, where intermittent bursts of the relative phase of two spatially symmetric BECs take place.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.099 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".