🔹 1. Exact vs. Approximate Models: Similar Math, Different Scope Both models reduce oscillator phase dynamics to a 1D equation driven by an input perturbation: Exact (Demir et al.) : Includes oscillator phase in its own evolution → nonlinear, more rigorous Approximate (Hajimiri & Lee) : Simpler integral form using ISF; easier to apply, but omits feedback For small perturbations and stationary noise , they yield identical phase noise predictions 🔹 2. Stationary Noise: Both Models Succeed Equally When noise input is stationary (e.g., thermal or 1/f noise) , the slow-phase behavior can be captured using averaging Averaging filters out high-frequency effects and isolates the core phase dynamics Both models reduce to the same stochastic differential equation, leading to the same phase noise growth (∝ √t) 🔹 3. Injection Locking: Only the Exact Model Captures It When driven by a non-stationary input (e.g., sine wave), only the exact model predicts phase and ...