α (prey growth):0.80
β (predation):0.30
γ (pred death):0.60
δ (conv eff):0.20
x₀ (prey):2.0
y₀ (pred):1.0
x (prey):
y (pred):
Fixed pt:
Period T≈:
H (conserved):
ẋ=αx−βxy | ẏ=δxy−γy
Fixed pts: (0,0) saddle, (γ/δ, α/β) center.
Conserved: H=δx+βy−γln(x)−αln(y)
Stochastic adds Gaussian noise dW