Math 2.0

statement theorem

Hartman–Grobman theorem

Statement

Let UU be an open subset of Rn\mathbb{R}^n, let f:U→Rnf : U \to \mathbb{R}^n be continuously differentiable. Let φ\varphi be the flow of x′=f(x)x' = f(x), and let x∗∈Ux^* \in U be a hyperbolic equilibrium point. Let A=Df(x∗)A = Df(x^*). Then there are open neighbourhoods V⊆UV \subseteq U of x∗x^* and W⊆RnW \subseteq \mathbb{R}^n of 00, and a homeomorphism h:V→Wh : V \to W with h(x∗)=0h(x^*) = 0, as follows. For each x∈Vx \in V and each t∈Rt \in \mathbb{R} such that φs(x)∈V\varphi_s(x) \in V for all ss between 00 and tt, h(φt(x))=etAh(x)h(\varphi_t(x)) = e^{tA} h(x).

Remarks

So near x∗x^* the flow is topologically conjugate to the flow of the linearisation y′=Ayy' = A y, given by the matrix exponential. The map hh sends trajectories to trajectories and keeps the direction of time. The map hh is in general only continuous, not differentiable. The hypothesis of hyperbolicity is necessary. For x′=−x3x' = -x^3 and x′=x3x' = x^3 on R\mathbb{R}, the linearisation at 00 is the same, but the two phase portraits are not conjugate.

History

The theorem is named after Philip Hartman and David M. Grobman. It is also called the linearization theorem.

Explanations

L1 human

Near a hyperbolic equilibrium, a nonlinear system looks like its linear approximation, after a continuous change of coordinates. So the pattern of trajectories of the linear system, such as a saddle or a spiral, also appears in the nonlinear system.

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Sources

  1. Web https://en.wikipedia.org/wiki/Hartman%E2%80%93Grobman_theorem, Main theorem