Lyapunov Function
Definition1
Given a space and a function , suppose the following vector field is given by a differential equation. For a point in the above autonomous system, a scalar function defined in the neighborhood of is called a Liapunov function if it satisfies the following conditions:
- (i): , and for , then
- (ii): At ,
- denotes the set of functions whose domain is and codomain is , which are differentiable and have continuous derivatives.
- belonging to means that is a scalar function defined in the neighborhood of , differentiable, and is continuous.
Explanation
A Liapunov function may exist depending on the given system , and it can be considered especially to check the stability of a fixed point when . The existence of a Liapunov function implies stability, and should be appropriately defined according to the system . literally refers to the derivative with respect to time , and when differentiating , terms related to emerge, revealing the relationship with .
From the above explanation, it may seem that a Liapunov function is a universal tool for understanding nonlinear systems, but as nonlinear systems are inherently difficult, finding this Liapunov function is not simple. There is no general method to find a Liapunov function, and in fact, finding it even for a single important system can be a challenging research topic.
Example
Let’s take a look at a very simple example of finding a Liapunov function: This system has a fixed point . As mentioned, there is no general method for finding a Liapunov function, so intuition must be employed. As one gets used to finding Liapunov functions, the process becomes faster. Here, we assume that is a Liapunov function and will find it by specifying the value of .
Part 1.
Given , and for , holds. From , , and assuming is non-negative, .
Part 2.
From , . Differentiating with respect to gives: If , then .
Thus, given the fixed point , we can guarantee the existence of a Liapunov function as , and it follows that possesses Liapunov stability based on its existence.
Strogatz. (2015). Nonlinear Dynamics And Chaos: With Applications To Physics, Biology, Chemistry, And Engineering (2nd Edition): p201. ↩︎