One-Dimensional Dynamics - Key Proof
We prove that near a hyperbolic fixed point, the dynamics of a smooth map is conjugate to its linearization. This fundamental result justifies the stability analysis via derivatives.
Theorem: Let be with a fixed point at (by translation). If (attracting case), then there exists a neighborhood of and a homeomorphism such that:
for all with . That is, is locally conjugate to the linear map where .
Proof:
Step 1: Setup and normalization. Write where and as . We seek such that near 0, with and .
Step 2: Formal construction. Assume exists with power series . The conjugacy equation yields:
Expanding the left side using Taylor series and comparing coefficients determines the uniquely. For example, if , the coefficient gives:
which forces if . More generally, the condition ensures the series converges in a neighborhood of 0.
Step 3: Rigorous construction via graph transform. Define the map on functions with by:
Under the condition , the operator is a contraction on the space of Lipschitz functions with appropriate norm. By the Banach fixed point theorem, has a unique fixed point satisfying:
which rearranges to .
Step 4: Verification of homeomorphism property. The function constructed above satisfies and by the contraction mapping construction. For near 0, we have for small , so is a local diffeomorphism and hence a homeomorphism on a sufficiently small neighborhood.
Step 5: Extension to repelling case. For (repelling case), we apply the above argument to in a neighborhood where the inverse exists. The map has an attracting fixed point at 0 with derivative satisfying . Thus is linearizable, and consequently is also linearizable.
This linearization theorem, often called the Grobman-Hartman theorem in the one-dimensional case, is fundamental to local bifurcation theory. It guarantees that near hyperbolic fixed points (where ), the nonlinear dynamics is qualitatively the same as the linear approximation.
The proof fails precisely when , the neutral case. Here, the linearization provides no information about stability, and higher-order terms in the Taylor expansion become crucial. For example, if , the fixed point at is attracting from one side but repelling from the other, a phenomenon invisible to the linear approximation. This is why bifurcations typically occur at neutral fixed points.
Consider the logistic map with fixed point for . We have:
For , we have , so the linearization theorem applies. The dynamics near is conjugate to the linear map , confirming that orbits converge to exponentially at rate .
At , we have , a neutral fixed point where the linearization theorem fails. Indeed, this is precisely where the period-doubling bifurcation occurs, and the behavior transitions from convergence to oscillation.
The linearization theorem bridges local and global dynamics. While it applies only in a neighborhood of a hyperbolic fixed point, understanding local behavior is essential for analyzing bifurcations, constructing invariant manifolds, and developing global portraits of dynamical systems. The proof technique via contraction mappings extends to higher dimensions and forms the foundation for invariant manifold theory.