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Lyapunov exponents of the predator prey model Ljapunovovy ...

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173 <strong>Lyapunov</strong> <strong>exponents</strong> for one-dimensional mapsIn this section <strong>Lyapunov</strong> <strong>exponents</strong> are computed for one-dimensional maps. We introducea numerical approximation <strong>of</strong> <strong>Lyapunov</strong> exponent and compute <strong>Lyapunov</strong> <strong>exponents</strong><strong>of</strong> well-known maps such as Tent map or Logistic map. Here we show also what<strong>the</strong> <strong>Lyapunov</strong> exponent describes and how it depends on <strong>the</strong> behavior <strong>of</strong> <strong>the</strong> dynamicalsystem.Definition 3.1 Let X = [a, b] , a, b ∈ R be an interval, µ is an absolutely continuous invariantmeasure on that interval and f is a piecewise continuously differentiable map on X. The numberis called <strong>the</strong> <strong>Lyapunov</strong> exponent <strong>of</strong> f.L (f) = balog f ′ dµThe alternative definition <strong>of</strong> <strong>Lyapunov</strong> exponent isn−11 L (f) = lim log f ′ f k (x)a.e.n→∞ nk=0which can be obtained from Definition 3.1 by using <strong>the</strong> Birkh<strong>of</strong>f Ergodic Theorem (Theorem2.22). This definition is <strong>of</strong>ten used since computing <strong>the</strong> integral in <strong>the</strong> Definition 3.1can be hard.The <strong>Lyapunov</strong> exponent is <strong>of</strong>ten used for indication <strong>of</strong> sensitive dependence on initialconditions. The system with negative <strong>Lyapunov</strong> exponent is considered stable and <strong>the</strong>system with positive <strong>Lyapunov</strong> exponent is considered unstable or chaotic. This isn’t truefor general maps. In [18] was proved that positive <strong>Lyapunov</strong> exponent implies sensitivedependence on initial conditions under some additional conditions for continuous mapson <strong>the</strong> closed interval (see Proposition 3.3). Moreover in [18] it was shown that <strong>the</strong> map is<strong>Lyapunov</strong> stable if <strong>the</strong> <strong>Lyapunov</strong> exponent is negative taking into account continuouslydifferentiable maps on <strong>the</strong> closed interval (see Proposition 3.2).Proposition 3.2 Suppose f : [0, 1] → [0, 1] is C 2 . If <strong>the</strong> <strong>Lyapunov</strong> exponent L (f) < 0 forsome x 0 , <strong>the</strong>n <strong>the</strong> orbit <strong>of</strong> x 0 is <strong>Lyapunov</strong> stable.Proposition 3.3 Suppose f : [0, 1] → [0, 1] is C 2 . If <strong>the</strong> <strong>Lyapunov</strong> exponent L (f) > 0 forsome x 0 and <strong>the</strong> orbit <strong>of</strong> x 0 satisfiesinf f ′ (x n ) > 0,n≥0<strong>the</strong>n <strong>the</strong> orbit exhibits sensitive dependence on initial conditions.Open question 3.4 (i) If a continuous map on interval has positive <strong>Lyapunov</strong> exponent,does it imply chaos? If it does, in which sense?

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