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A C1 planar gradient at a nondegenerate saddle has local stable and unstable curves
Statement
Let be of class near a point of the Euclidean plane , and suppose is a nondegenerate saddle of : and is invertible with one positive and one negative eigenvalue. Then the field has a local stable curve and a local unstable curve through : both are embedded curves containing , the tangent line is the positive eigenline of and is its negative eigenline, and each of and consists of exactly two half-trajectories of . There is a neighbourhood of such that every trajectory of that is defined and stays in for all lies on , and every trajectory that is defined and stays in for all lies on . The convergence to along is exponentially fast as and the convergence along is exponentially fast as : there are constants with for all with and all , and for all with and all . No choice principle is used.
Facts & Assumptions
Given: A function near a point with and invertible with one positive and one negative eigenvalue.
For a field on an open set of there is a unique maximal jointly flow with , trajectories of are in time, and two trajectories through the same point agree on the common part of their time intervals (C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade).
A contraction of a nonempty complete metric space has a unique fixed point (A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point).
If is a bounded linear operator on a Banach space with , then is invertible with and , and is continuous at every such (Neumann series and small perturbations of bounded inverses).
A pointwise limit of continuous real functions that is uniform on the domain is continuous (The uniform limit of continuous real-valued functions on a metric space is continuous).
with the Euclidean metric is complete ( and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in ).
For real , a real function continuous on and differentiable on satisfies for some (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
A continuous map from a nonempty compact space to a metric space is uniformly continuous (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).
A real symmetric endomorphism of has an orthonormal basis of eigenvectors with real eigenvalues (Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis).
Every continuous real function on an order-convex interval with at least two elements has a primitive there, and primitives differ by constants (Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive ).
Proof
Translating the source point to the origin and subtracting the constant , assume , and . Put and . By [F8] the symmetric matrix has an orthonormal basis of eigenvectors; its eigenvalues are and for some , because has one negative and one positive eigenvalue. Let be the eigenline of and the eigenline of , and let be the orthogonal projections onto them, so , , and for one has while . Fix with . Since is with derivative at the origin, the field has the form with of class , and .
A compactly supported perturbation of with small derivative. Let (to be fixed below). Choose with for ; this is possible because and is continuous. Choose a smooth cutoff with on the ball and outside , and put . On one has , and and there at the origin. On the support of , which is a compact subset of , the mean value theorem [F6] gives , while for a constant depending only on the fixed cutoff profile; hence for every , using . Since is arbitrary, can be made as small as we please. Moreover is continuous with compact support, hence uniformly continuous on by [F7]. Set ; then on .
The weighted space of paths. Let be the set of continuous with . This is a normed vector space, and it is complete: if is -Cauchy then each sequence is Cauchy in , which is complete by [F5], so exists; the Cauchy bound passes to the limit, so , and on each the convergence is uniform, so every component of is continuous by [F4]; finally . Also for every and .
The integral operator and its contraction constant. For define Both integrals converge absolutely, because by [F6] and the kernel bounds of step 1.1 give whose -integral over is . The same kernel bounds give, after multiplying by , because by the componentwise mean value theorem [F6]; recall . Also is continuous, being the difference of two continuous functions of . Fix in step 2.1 so small that and .
-Fréchet differentiability of . For let be given by the same formula with replaced by . The estimates of step 3.1 show that is linear and bounded with . By the componentwise mean value theorem [F6] applied on the segment from to , where satisfies as by the uniform continuity of established in step 2.1. Since , the weighted kernel estimates give , where ; this is : thus is the Fréchet derivative of at , and is continuous in operator norm because is a modulus of continuity.
Fixed points of the contractions . For put , so and by step 1.1, and define . By step 3.1, is a -contraction of the nonempty complete space with ; by the Banach fixed point theorem [F2] it has a unique fixed point . Since , the estimates of step 3.1 give , hence and
is a trajectory of with exponential decay. Write the first integral of as and the second as with ; the integrands are continuous and the integrals converge absolutely as in step 3.1. Differentiating with the product rule and the primitive of a continuous function [F9] gives for every , so solves the ODE of ; by [F1] it is the trajectory . If then for all by the exponential bound, so the trajectory stays in the ball where ; hence it is a trajectory of and is the initial point of a trajectory of converging exponentially to the origin with rate .
The initial points depend on . Let be the unique fixed point of ; it exists by the same contraction argument as in step 4.2 and , where is linear and bounded into . We show that is Fréchet differentiable with . Let , and ; step 4.1 gives , and . Since , the operator is invertible with inverse of norm at most by the Neumann series [F3], so , while the contraction inequality directly gives . Therefore , so exists and has the stated form; it is a bounded linear map. Continuity of follows from the Lipschitz continuity of , the continuity of (step 4.1) and the continuity of the inversion map [F3]. Consequently is , and since the evaluation is linear and bounded and , differentiating at in a direction gives , so for
Bounded trajectories. A bounded trajectory in satisfies variation of constants. In its unstable component, and the integral of converges, since its integrand is bounded by . Therefore with . This does not yet put in the weighted space. Instead use the complete space with the supremum norm; its completeness follows by the pointwise-limit and uniform-continuity argument of step 2.2. The same operator has contraction constant there. The weighted fixed point is bounded and solves the same equation, so uniqueness in this larger space gives , and hence exponential decay.
The stable curve, the unstable curve and the half-trajectories. Choose with for ; this holds by step 5.1 because . Then maps -injectively onto a embedded curve , because the linear projection restricts to the inverse of on and is the graph of the function ; and because . For , uniqueness of the fixed point after shifting time gives . On this graph, and the small derivative bound give , with after decreasing initially. Thus strictly decreases toward zero and each local half-graph is invariant. By step 4.3 every point of has its forward trajectory in , converging to at rate ; by step 5.2 every trajectory of , hence of , that stays in a sufficiently small ball for all equals some , with , and therefore starts on . If , the forward trajectory of is a connected subset of whose parameter values tend to and contain , so by the intermediate value property it meets both components of only according to the sign of : the two components and are each a single half-trajectory. Applying the same construction to the function , whose Hessian is again a nondegenerate saddle and whose gradient field is , produces the unstable curve of , tangent to the negative eigenline of and swept out by the two backward half-trajectories with exponential backward convergence; the neighbourhood is the intersection of the two trapping balls. This proves all the assertions; every step used only the displayed estimates, the Banach fixed point theorem, the Neumann series and the primitive of continuous functions, none of which needs a choice principle.
Depends on
- C¹ Euclidean maximal flows, variational dependence and the finite C² upgrade
- Every continuous function on an interval has a primitive; two primitives differ by a constant; and $\int_a^b f = G(b)-G(a)$ for any primitive $G$
- A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point
- Neumann series and small perturbations of bounded inverses
- Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis
- The mean value theorem, as the case $g(x) = x$ of Cauchy's: for $f$ continuous on $[a,b]$ with $a < b$ and differentiable on $(a,b)$ there is $c \in (a,b)$ with $f(b) - f(a) = f'(c)(b-a)$
- Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous
- The uniform limit of continuous real-valued functions on a metric space is continuous
- $\mathbb{R}$ and $\mathbb{R}^n$ for $n \ge 1$ with the Euclidean metric are complete, componentwise from the Cauchy criterion in $\mathbb{R}$
Used by
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Sources
- Gerald Teschl, Ordinary Differential Equations and Dynamical Systems (standard reference, not scraped)