Abstract
In this short article, we wish to initiate a probability theory to describe the (in)famous transition to turbulence phenomena. For normal systems, the instability threshold can be predicted because the transition probability jumps from zero to P → 1 when the control parameter exceeds the threshold. However, for non-normal systems, such a transition is probabilistic, which depends on the control parameter and initial energy. A low-dimensional reduction idea is proposed to give a detailed description of the transition probability of non-normal systems in the future. We also wish that such an idea could be transplanted for understanding such a transition in more complex flows, e.g., atmospheric flows, mantle convection, and ocean circulation.
| Original language | English |
|---|---|
| Pages (from-to) | 1310-1315 |
| Number of pages | 6 |
| Journal | Advances in Atmospheric Sciences |
| Volume | 43 |
| Issue number | 6 |
| DOIs |
|
| State | Published - Jun 2026 |
Keywords
- probability theory
- stability
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