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Difference and functional equations Definition

Lyapunov function for a difference equation

Builds on Equilibrium of a difference equationContinuous functionNeighbourhood

Definition

Let D⊆ℝkD \subseteq \R^k, let f ⁣:D→Df \colon D \to D be continuous, and consider the difference equation xn+1=f(xn)x_{n+1} = f(x_n). Let x∗∈Dx^* \in D be an equilibrium, so f(x∗)=x∗f(x^*) = x^*. Let G⊆DG \subseteq D be a neighbourhood of x∗x^* relative to DD. A Lyapunov function for the equation on GG is a continuous function V ⁣:G→ℝV \colon G \to \R such that:

  1. V(x∗)=0V(x^*) = 0.
  2. V(x)>0V(x) > 0 for every x∈Gx \in G with x≠x∗x \ne x^*.
  3. ΔV(x)=V(f(x))−V(x)≤0\Delta V(x) = V(f(x)) - V(x) \le 0 for every x∈Gx \in G with f(x)∈Gf(x) \in G.

The function VV is a strict Lyapunov function if moreover ΔV(x)<0\Delta V(x) < 0 for every x≠x∗x \ne x^* in GG with f(x)∈Gf(x) \in G.

Remarks

Example: for f(x)=x/(1+x2)f(x) = x / (1 + x^2) on ℝ\R with x∗=0x^* = 0, take V(x)=x2V(x) = x^2. Then V(0)=0V(0) = 0, V(x)>0V(x) > 0 for x≠0x \ne 0, and ΔV(x)=x2((1+x2)−2−1)<0\Delta V(x) = x^2 \left( (1 + x^2)^{-2} - 1 \right) < 0 for x≠0x \ne 0, so VV is a strict Lyapunov function.

Non-example: for f(x)=2xf(x) = 2x and V(x)=x2V(x) = x^2, clauses 1 and 2 hold but ΔV(x)=3x2>0\Delta V(x) = 3x^2 > 0 for x≠0x \ne 0, so clause 3 fails.

The quantity ΔV\Delta V is the forward difference of VV along solutions, the analogue of the derivative V˙\dot V along solutions of a differential equation. If a Lyapunov function exists, the equilibrium is stable; if a strict one exists, it is asymptotically stable. For a linear map f(x)=Axf(x) = Ax one often uses a quadratic form V(x)=xTPxV(x) = x^T P x with PP positive definite and ATPA−PA^T P A - P negative definite.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Lyapunov_function
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MSC39A30, 93D05
DefinesLyapunov function for a difference equation
UsesEquilibrium of a difference equation, Continuous function, Neighbourhood

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