A fixed point satisfies . A perturbation obeys , where the periodic-orbit multiplier is . It is linearly attracting for and repelling for ; at nonlinear terms decide Lyapunov stability. A crossing through can produce a saddle-node, transcritical or pitchfork bifurcation, depending on the mathematical model parameter dependence and symmetry. A crossing through generically gives a period-doubling bifurcation. A real one-dimensional function cannot have the complex conjugate pair needed for a Neimark–Sacker bifurcation.
For a genuine period-two orbit, study the return map at either point. By the chain rule its periodic-orbit multiplier is
Its modulus determines linear stability by the same criterion, now per two iterates.
For the real quadratic iteration map, the fixed-point equation gives
The derivative is . The lower branch is repelling whenever . The upper branch satisfies exactly for
At the two fixed points merge in a saddle-node bifurcation. With at that mathematical model parameter, , so the point attracts from the right and is repelling from the left. At , has periodic-orbit multiplier and undergoes a period-doubling bifurcation. At the threshold itself and the two-step return is , proving weak asymptotic stability there despite the inconclusive linear test.
Factor the second-iterate equation:
Removing the fixed-point factor yields the periodic orbit points
They are distinct and exchanged by exactly when ; at equality they coincide with the fixed point. Their product is , hence their periodic-orbit multiplier is . Thus
It is repelling for and reaches its next period-doubling bifurcation threshold at . At that exact endpoint it is weakly attracting: if is expanded about either periodic orbit point as , then , , and . Its second return is .
At put . The double-angle identity gives
This verifies the printed relation to the Bernoulli shift. Precisely, it is a semiconjugacy: , so it is not invertible on the circle. To obtain a genuine interval topological conjugacy, use the homeomorphism from onto , and the full tent map
The same identity proves .
The full tent map has dense periodic points, is topologically mixing and has sensitive dependence on initial conditions. To see these properties directly, its th iterate has monotone branches on dyadic intervals of length , each mapping onto . Every nonempty open interval contains such a branch domain, and a later iterate covers all of , proving topological mixing. On any branch, the function graph of the iterate has a fixed point by the intermediate value theorem, so periodic points occur in every open interval. Given any initial point and any neighborhood, some iterate of that neighborhood covers the interval; one can choose a nearby point whose image differs from the initial point's image by at least a fixed positive distance. This proves sensitive dependence on initial conditions. Uniform continuity of the inverse homeomorphism transfers these properties to on .
Consequently the real quadratic iteration map is chaotic on its invariant interval in the Devaney sense: topological transitivity, dense periodic points and sensitive dependence on initial conditions, with all these orbits bounded. There are also aperiodic orbits: periodic points form a countable union of finite sets of roots of an equation of the equations , whereas the interval is uncountable. The semiconjugacy alone would not justify treating as invertible; the tent-map argument supplies the missing rigorous transfer.
For integers ,
Thus reducing coordinates modulo one gives a well-defined function on the torus . Its determinant is one and its inverse matrix is the integer matrix , so it induces a bijection of the torus. The Jacobian determinant one makes this bijection area-preserving.
Its eigenvalues solve , giving
There are therefore expanding and contracting eigendirections and no eigenvalue on the unit circle: the function is a hyperbolic toral automorphism. The Lyapunov exponents per iterate are
They sum to zero, as required by area preservation.
The four vertices of the unit square map to , the vertices of an area-one parallelogram. To reduce it modulo one, cut it by the integer grid. For each piece in the cell , translate by . Up to boundary identifications these translated pieces partition the unit square, because the inverse integer matrix gives exactly one torus preimage to every point. The colored pieces in the original diagram show the same pieces before and after these translations.
Figure 1.
Area-preserving torus map by cutting and translating its parallelogram
. Details.
For the Fibonacci identity, at the claimed matrix is . If the identity holds at , multiplication on the right by gives
Each equality uses , with the specified indexing . This proves the formula for every positive integer .
A fixed point satisfies . Since has an inverse integer matrix, this forces , so the origin is the only fixed point modulo one.
For period dividing two,
The second congruence gives ; inserting it into the first gives . Thus the complete list is
The first is the fixed origin. Direct application of exchanges the other four in exactly two pairs:
This both verifies the periodic orbits and excludes additional ones.
Finally, if is fixed by , then for an integer vector . The eigenvalues of are and , neither zero. Hence its inverse exists and has rational entries by the adjugate matrix formula for an integer matrix. Therefore has rational coordinates. The derivative of the return map is , with eigenvalues and . Every periodic point is a hyperbolic saddle fixed point of a map and is unstable, although perturbations in its stable eigendirection contract.
For , differentiate and use the two differential equations:
Substituting , gives the required equations in polar coordinates. The origin is handled in Cartesian coordinates, where it is an equilibrium point; an angular coordinate is not defined there.
A Lyapunov function near an equilibrium point is a continuously differentiable positive-definite scalar function whose derivative along solutions is nonpositive. This implies local Lyapunov stability under the usual comparison bounds; if its derivative is negative definite, the Second Lyapunov theorem gives local asymptotic stability. Here take
If , continuity gives a small ball and such that inside it. Consequently . A sufficiently small initial sublevel set stays inside the ball, and . The origin is asymptotically stable, in fact locally exponentially stable. If , continuity instead gives in a small ball. Every nonzero initial point there exits that ball in forward time, proving instability of the origin. These inequalities hold along all local solutions; continuity of alone need not supply uniqueness for a general vector field.
If , a nonzero constant radius satisfying gives a periodic orbit of period , since . Linearizing the scalar radial equation there gives
Thus the periodic orbit is orbitally asymptotically stable for and unstable for . The direction along the periodic orbit is neutral, as expected for an autonomous periodic orbit; orbital asymptotic stability means attraction in a dynamical system to the orbit with a possible phase shift.
For the specified radial response,
The origin is therefore stable for and unstable for . The nonzero-radius equation has roots of an equation
retaining only positive radii. For , the square root exceeds one, so only exists and : the periodic orbit is unstable. For , both radii are positive; gives and a stable periodic orbit, while remains unstable.
As increases through , the stable small-radius periodic orbit emerges from the origin while the origin loses Lyapunov stability. This is the supercritical Hopf-type transition with a nonsmooth radial response requested. It follows directly from the explicit radial dynamics. There is a regularity qualification: near zero, so the vector field in Cartesian coordinates contains and terms. It is continuously differentiable but not generally twice differentiable at the origin, and the periodic orbit radius grows as rather than the square-root law of a generic smooth Hopf normal form. One should therefore use the explicit computation here rather than invoke a smooth Hopf bifurcation theorem with unmet hypotheses. At itself the origin is still weakly attracting, because for small positive .
Let . In the first two components of the vector field, replacing by their negatives changes the sign of the whole component; in the third, the product is unchanged. Thus , establishing the symmetry, with solutions mapped to solutions by .
At an equilibrium point, positivity of makes . The remaining equations give and . Hence
where the two nonzero equilibrium points exist when . They merge with the origin at , in a pitchfork bifurcation.
At the origin the Jacobian matrix and its eigenvalues are
At these are . To see the local pitchfork bifurcation dynamics more explicitly put , , and use on the center manifold. The equations become
At , invariance at cubic order gives , hence the reduced equation is
It has the supercritical pitchfork bifurcation form as increases, with the two branches attracting near onset while the origin becomes unstable.
For , the determinant of the planar block is , so the origin has one positive and two negative eigenvalues and is a saddle equilibrium. At , the planar eigenvalues are explicitly . For , the planar trace is negative and its determinant positive, so the origin is asymptotically stable. To distinguish its type put
For both planar eigenvalues are real negative, giving a stable node. At they coincide at ; the planar block is not a scalar matrix, so it is a defective stable node. For they are nonreal with negative real part, giving a stable spiral in the planar block together with the stable third direction. This refines the requested node-versus-saddle classification.
The origin cannot have a Hopf bifurcation: a planar imaginary pair would require trace zero, namely , but the determinant there is , so the pair is real and of opposite signs.
For either nonzero equilibrium point put . The Jacobian matrix is
Its characteristic polynomial is
A nonzero imaginary root of an equation requires, by separating real and imaginary parts, and . Equivalently
so the candidate Hopf bifurcation values are
At such an admissible value the factorization is , giving the pair and a negative third eigenvalue , since on the nonzero branches.
The mathematical model parameter restrictions matter. A real candidate requires , and the nonzero equilibrium points also require . The upper-sign value is admissible for ; the lower-sign value additionally requires . For fixed , differentiation of the characteristic equation at the imaginary root of an equation gives the eigenvalue crossing speed
Thus the transverse eigenvalue crossing condition holds except at the coincident-root case , . At a transverse eigenvalue crossing, a generic nonzero first Lyapunov coefficient gives a Hopf bifurcation. The displayed radical is the spectral threshold; it does not justify an unconditional generic-Hopf claim for all positive mathematical model parameters, nor does it by itself exclude a degenerate Hopf bifurcation point. For example yields no real candidate at all. The cubic Routh-Hurwitz stability criterion gives local Lyapunov stability on the side with and , where
For the modified equation, the planar block at the origin is , with determinant for the stipulated positive mathematical model parameters. Thus the origin is always a saddle equilibrium for nonzero in that mathematical model parameter range. The nonzero equilibrium points now satisfy , and , so they are
For these branches stay a positive distance from the origin and do not merge with it as varies. The origin also has no zero eigenvalue for . Therefore the pitchfork bifurcation is absent in the modified system.

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