Stability Selection and the Persistence of Recovery

Key Points

• The study aims to examine contraction selectivity as a potential regularity in driven-dissipative systems across various dynamic regimes.
• Introduces a contraction-based time-series operator
• Applies it to both synthetic controls and observational datasets
• Evaluates contraction behavior across different regimes such as driven-dissipative and autonomous-chaotic.
• Identifies differences in contraction behavior among driven-dissipative, stochastic, and autonomous-chaotic systems.
• Finds distinct patterns of recovery persistence across the tested regimes.