Update docs/src/catalyst_applications/dynamical_systems.md

Co-authored-by: George Datseris <[email protected]>

Author: TorkelE

docs/src/catalyst_applications/dynamical_systems.md

@@ -53,7 +53,7 @@ More information on how to compute basins of attractions for ODEs using Dynamica
 ## [Computing Lyapunov exponents](@id dynamical_systems_lyapunov_exponents)
 [*Lyapunov exponents*](https://en.wikipedia.org/wiki/Lyapunov_exponent) are scalar values that can be computed for any attractor of an ODE. For an ODE with $n$ variables, for each state, a total of $n$ Lyapunov exponents can be computed (and these are collectively called the *Lyapunov spectrum*). Positive Lyapunov exponents indicate that trajectories initially infinitesimally close diverge from each other. Conversely, negative Lyapunov exponents suggests that trajectories converge to each others. 
 
-While Lyapunov exponents can be used for other purposes, they are primarily used to characterise [*chaotic behaviours*](https://en.wikipedia.org/wiki/Chaos_theory) (where small changes in initial conditions has large effect on the resulting trajectories). Generally, an ODE exhibit chaotic behaviours in a point in phase space if that point have *at least one* positive Lyapunov exponent. Practically, Lyapunov exponents can be computed using DynamicalSystems.jl's `lyapunovspectrum` function. Here we will use it to investigate two models, one which exhibits chaos and one which do not.
+While Lyapunov exponents can be used for other purposes, they are primarily used to characterise [*chaotic behaviours*](https://en.wikipedia.org/wiki/Chaos_theory) (where small changes in initial conditions has large effect on the resulting trajectories). Generally, an ODE exhibit chaotic behaviour if its attractor(s) have *at least one* positive Lyapunov exponent. Practically, Lyapunov exponents can be computed using DynamicalSystems.jl's `lyapunovspectrum` function. Here we will use it to investigate two models, one which exhibits chaos and one which do not.
 
 First, let us consider the [Willamowski–Rössler](https://www.degruyter.com/document/doi/10.1515/zna-1980-0308/html?lang=en) model, which is known to exhibit chaotic behaviours. 
 ```@example dynamical_systems_lyapunov