The planar Brouwer fixed-point theorem says that every continuous map from the closed disk to itself has a fixed point. If a retraction existed, would be a continuous self-map of . At a fixed point , lies on the boundary, where ; this would give , impossible on the unit circle.
Conversely, suppose a continuous self-map has no fixed point. For each , take the ray starting at through , and let be its exit point on . The denominator never vanishes, and solving the quadratic intersection with the circle shows that the exit point depends continuously on . More explicitly, with ,
The ray exits beyond or at , so , and when its exit point is . Hence is a retraction. Nonexistence of a boundary retraction and the planar fixed-point theorem are equivalent.
For a positively oriented simple closed curve on which the vector field is nonzero, its Poincaré index is the total rotation of the vector field along that curve divided by , equivalently the winding number of its normalized direction. The Poincaré index of an isolated fixed point is that of a sufficiently small enclosing curve containing no other fixed point. The index of a planar periodic orbit is .
The map normal forms at multiplier are given in the numbered subparts below. For the multiplier problem, the second iterate instead exposes the emerging period-two cycle.
For the multiplier problem, write . To the required weighted order, with , the shifted map is , where . Composing it with itself cancels the quadratic term. The cubic contribution is , while the linear correction is . Consequently the quadratic-cubic flip criticality calculation gives
Thus the second iterate has normal form , up to terms of weighted order at least four. This is the asymptotic interpretation of the stated remainder under ; a uniformly valid local expansion about the exact fixed point also retains mixed parameter remainders.
Assuming crosses zero transversely and , the small nonzero fixed points of the second iterate satisfy . They form a period-two orbit. For they exist on the side , where the original fixed point has become unstable, and the second-iterate multiplier is , so the cycle is stable. The period-doubling bifurcation is therefore supercritical precisely when . Equality is a degenerate case requiring higher-order terms.
The contraction mapping theorem states that a contraction mapping on a nonempty complete metric space has a unique fixed point. Here contraction means that some satisfies for all .
For a proof, choose and iterate . Induction gives . For , the triangle inequality and a geometric series give
Thus the iterates form a Cauchy sequence, and completeness supplies a limit . A contraction mapping is continuous, so . If is another fixed point, , forcing . This proves existence and uniqueness.
For the exponential problem, use on the complete metric space . Its derivative is
Putting , the function has maximum at , as its derivative is . By the mean value theorem, , so is a contraction mapping on all of . Let be its unique fixed point. The compositions commute, so ; uniqueness of the fixed point of forces . Conversely every fixed point of is fixed by . Hence there is exactly one real solution of . It lies in because and then . This uses the iterated contraction argument without claiming that itself contracts on all of .
The homogeneous fixed point must satisfy . The singular point is outside the domain of the reaction term, so substitution in the other equation gives the unique regular spatially homogeneous equilibrium
This is the basally forced quadratic activator-inhibitor model. The linearization of its reaction terms gives the Jacobian matrix
Put , so . Its trace and determinant are and , and its eigenvalues are
Since , both eigenvalues have negative real part exactly when . Hence
For the equilibrium is always strictly linearly stable. For , equality is an oscillatory threshold with ; the nonlinear qualification at this threshold is proved below.
Now insert a perturbation proportional to . The diffusion terms subtract from . With the mode trace and determinant are
For a strictly stable homogeneous state, makes for all . A nonzero Fourier mode can therefore grow only if , in which case its two real eigenvalues have opposite signs. The determinant parabola has its minimum at , and that minimum is . The two-species Turing criterion is consequently derived here as
These force , hence . Equivalently, solving for gives
Thus the inhibitor in a reaction-diffusion system must diffuse sufficiently fast. Inside this region, the growing wavenumbers obey
At onset, the minimum touches zero and the two determinant roots coalesce. Therefore
Here is evaluated on the onset surface. These are the Turing threshold of a basally forced quadratic activator-inhibitor model and its continuum critical wavelength. On a finite or domain with periodic boundary conditions an admissible nonzero spatial mode must additionally fall in the stated band. Equality in the diffusion criterion is marginal onset, while is the distinct homogeneous oscillatory threshold.
For completeness, the weak focus at the Hopf threshold of a basal activator-inhibitor model resolves the nonlinear homogeneous stability when . Let , , , and set , , , . Expanding the rational reaction term to cubic order gives
where
Write , and evaluate these homogeneous polynomials on the unit circle. If , , and , division of the radial and angular equations gives
The angular integral of is zero because it changes sign under . Iterating its quadratic term once over a full cycle contributes the square of this zero integral, so the first nonzero return map term is cubic. Using , and the corresponding sixth moments gives and . The Poincaré map is
Because , sufficiently small positive radii decrease on every return. The equilibrium at is therefore nonlinearly asymptotically stable, with weak rather than exponential attraction, despite its neutral linear eigenvalues. The strict inequalities above describe the ordinary diffusion-driven instability from a strictly linearly stable homogeneous state.
In the squared-denominator population map, is the low-density per-generation multiplication factor, while controls crowding: is the characteristic population scale. The nonzero fixed point for and its multiplier are
Since this multiplier lies strictly between minus one and one, is locally asymptotically stable. This holds for every finite , even when the map is locally decreasing at its fixed point.
For the post-initial invariant interval for a squared-denominator population map, put and . The derivative shows that the global maximum is at . The first two iterates of the supplied initial condition are consequently
For , . Hence the map decreases throughout , with minimum there, and its global maximum bound ensures . Thus , and induction proves
Both endpoints are attained at . The lower bound printed without a time qualification is false at , because the given value is strictly below when . The invariant bounds apply after that initial step, not to it.
The cobweb plot below uses and . The first vertical move reaches the maximum, the next reaches its image, and subsequent vertical/horizontal steps remain in the invariant interval and approach the stable fixed point.
Figure 1.
Cobweb of the squared-denominator population map, showing the invariant interval from the second iterate
. Details.
A Lyapunov function near an equilibrium is a continuously differentiable function with , for nonzero nearby , and along trajectories there. Strict negativity away from the equilibrium gives local asymptotic stability. Lyapunov stability itself means that every prescribed small neighborhood contains a smaller neighborhood whose forward trajectories never leave the prescribed one.
For the proposed quadratic form, direct differentiation gives
When , the quadratic part is negative definite, so it dominates the cubic remainder in a sufficiently small ball; is then a strict Lyapunov function. If , take to make the leading derivative positive. At , that same line gives , positive on its negative half. Values fail positive definiteness of . Therefore
For the full derivative factors, with no small-amplitude truncation:
Every closed sublevel set lies in , is forward invariant, and has strictly decreasing away from the origin. Compactness and the Lyapunov stability argument therefore show that the ellipse belongs to the origin's basin of attraction. Boundary points with other than also have negative derivative and enter the ellipse. The exception is another fixed point, so the largest such sublevel ellipse cannot be included wholesale in the basin. This is a basin estimate from a Lyapunov sublevel set, not a claim that no additional points outside the ellipse converge to the origin.
The planar Brouwer fixed-point theorem states that every continuous map from a nonempty compact convex subset of to itself has a fixed point. In particular it applies to a closed disk or a closed triangle. Convexity and compactness are essential hypotheses in this formulation.
Let be the vertices opposite the corresponding sides, and let be their barycentric coordinates. We prove the equivalence by negating each assertion.
Suppose the closed covering sets have empty triple intersection. For put , and define similarly. At least one distance is positive, since cannot belong to all three sets, and at least one is zero, since they cover . Consequently
is continuous and lies in the boundary: one barycentric coordinate vanishes. On its first coefficient is zero because , so , and likewise for the other sides. This contradicts assertion (1), proving (1) implies (2).
Conversely, suppose such a boundary-valued map exists. Define closed subsets of by
They are closed because is compact and the coordinate functions are continuous. They cover because is boundary-valued; the side-preserving condition gives , , . Their triple intersection is empty because barycentric coordinates sum to one. Thus failure of (1) implies failure of (2), completing the equivalence.
In fact both assertions hold. If the map in (1) existed, let rotate the equilateral triangle through . Brouwer fixed-point theorem applied to gives a fixed point on the boundary. On any side containing , side preservation puts also on , so it is their common vertex. A side-preserving map fixes every vertex because that vertex lies on two sides. Therefore , impossible for a noncentral vertex. This also proves the covering-intersection assertion through the established equivalence.
Now . The zero point exists for all parameters and has eigenvalue , so it is stable for and unstable for . At every nonzero fixed point,
Both outer branches are stable and both inner branches unstable.
For , the nonzero locations are as in part (i). At the local equation is : these are subcritical pitchfork bifurcations, with the two unstable inner branches present on the side where zero is stable. At the bifurcation itself , so zero is unstable. At the inner and outer branches cross and exchange stability in transcritical bifurcations. The positive crossing is semistable, attracting from the right; the negative crossing is semistable, attracting from the left, because the additional factor reverses the local flow there.
For , the outer stable pair exists only for . The points are supercritical pitchfork bifurcations, since the cubic coefficient is negative. Zero loses stability as increases across , and a stable symmetric pair appears. At the threshold zero remains nonlinearly stable, with . There are no further bifurcations. The second row of the preceding figure gives the diagrams. The plots use ; the general locations are obtained from the formulas above.
Write . Its fixed points satisfy , retaining only nonnegative right sides. At a simple fixed point,
Thus on the outer branches , the positive point is stable and the negative point unstable. On the inner branches , the positive point is unstable and the negative point stable.
For , there are four simple points for , two for , and a saddle-node at each , where the two inner points coalesce. At , there are also bifurcations at . The smooth branches and cross and exchange stability. Locally , where . After a parameter-dependent shift this is a transcritical bifurcation. It is not an ordinary saddle-node: two nearby branches exist on both sides of zero. At zero itself each crossing point is semistable, attracting from the right and repelling from the left.
For , the only possible branch is , existing for . Each point is a saddle-node bifurcation. There are no fixed points for ; outside that interval the positive point is stable and the negative point unstable. At either threshold , so the zero point is semistable. The first row of the diagram displays these branches; solid curves are stable and dashed curves unstable.
Figure 1.
Fixed-point bifurcation diagrams for both scalar systems with positive and negative a; stable branches are solid and unstable branches dashed
. Details.
Put . The two fixed points on the invariant line are and . There are also when . At equality they coalesce with .
The Jacobian matrix is
At its eigenvalues are and , so it is always a saddle equilibrium. At they are and , so it is a saddle equilibrium for and a stable node for , with a zero eigenvalue at .
At the characteristic equation is , giving
For these points are stable spirals; for they are stable nodes. At the double negative eigenvalue has only one independent eigenvector, so these are improper stable nodes. When they are center equilibria, as established in part (iii). Thus the collision at changes both the number and stability of fixed points; it is the bifurcation classified below.