The phase plane system is , . Its equilibrium points are for every integer . At such a point the Jacobian matrix and characteristic equation are
For even , the equilibrium point is a stable focus for , with eigenvalues ; it is a stable node for , with two distinct negative real eigenvalues. The excluded value gives the repeated critical case.
For odd , the eigenvalues are . One is positive and one negative, so each is a saddle equilibrium for every . These classifications follow from the linearization of a dynamical system, since all the relevant eigenvalues have nonzero real part for . The even equilibria remain hyperbolic at too, although their linearization then has a repeated eigenvalue; that critical case is excluded from the requested classification.
The equilibrium equations are . For the fixed points are the origin, four axis points , and four diagonal points with independent signs and . The hypothesis ensures that is real. The Jacobian matrix has diagonal entries , and off-diagonal entries .
At the origin both eigenvalues are , so it is a stable node. At each axis point the eigenvalues are . At each diagonal point they are , along the radial and transverse diagonal directions respectively. Thus
The axes and diagonals are invariant lines. For the axis saddle points have stable directions transverse to their axes and unstable directions along them; the diagonal points are unstable nodes. For these roles switch: the diagonal saddle points have stable transverse directions and unstable radial directions, and the axis points are unstable nodes. Their stable manifolds separate trajectories attracted to the origin from outward-escaping trajectories. Symmetry gives the other quadrants.
For , the entire unit circle consists of equilibria. In polar coordinates and : every ray inside the circle moves toward the origin, and every ray outside moves outward. The circle has neutral tangential and unstable radial directions; its points are not isolated saddle points or unstable nodes.
All three phase portraits are shown below. The potential satisfies and , ruling out nonconstant periodic orbits. Blue curves show the saddle stable separatrices, integrated backwards from their local stable directions. The flow arrows and invariant lines, together with the equilibrium classification, specify the topology of the sketches.
Figure 1.
Phase portraits and equilibrium branches
. Details.
At an equilibrium point, and . If , the only equilibria are
Their Jacobian matrix is
At its eigenvalues are , and at they are . Hence for , is an unstable node and is a stable node; for , both points are saddles.
If , every point on each line and is an equilibrium. The line is transversely repelling because the nonzero eigenvalue is , while is transversely attracting because the nonzero eigenvalue is ; the tangential eigenvalue is zero on both nonisolated equilibrium lines.
For small, has two negative eigenvalues and is a stable node. The two nearby equilibria satisfy and are saddles. Their stable and unstable separatrices form the local phase portrait; trajectories in the wedge between the stable manifolds approach , while trajectories crossing an unstable direction leave the neighbourhood.
At an equilibrium, the second equation gives . The first equation then gives
Hence the fixed-point branches in the plane are
and
The three branches meet at . The branch meets the positive square-root branch again when , so the second bifurcation value is
The Jacobian matrix at a general point is
On the branch it is triangular, with eigenvalues
Thus is unstable for , asymptotically stable for , and unstable for .
On a square-root branch write . Then
whose trace is and determinant is . The negative branch is therefore a saddle equilibrium for every . The positive branch is a saddle for and asymptotically stable for ; close to it is a stable node.
To resolve the nonhyperbolic point at , make the prescribed substitution
and append . The equations become
The centre subspace is . Seek the extended centre manifold for a parameter as
The centre-manifold invariance equation is
To second order, , so comparison of coefficients gives
and hence , . Therefore
Substitution into the equation gives the reduced flow
Its central branch is unstable for and stable for , while the two nonzero branches for are unstable. Thus the bifurcation at zero is a subcritical pitchfork bifurcation with reversed normal-form parameter , exactly as recorded by the extended centre manifold of the 2023 Cambridge quadratic-product system.
The complete bifurcation diagram is therefore as follows. For , only exists and is unstable. For , is stable while both and are saddles. For , is stable while and are saddles. At , and cross and exchange stability, so the bifurcation is transcritical. This gives the bifurcation diagram of the 2023 Cambridge quadratic-product system.
Finally consider the phase plane near with . If , the lower equilibrium is a stable node and the upper equilibrium is a saddle. If , the lower equilibrium is the stable node and the upper equilibrium is the saddle. In each case the saddle has one-dimensional stable and unstable manifolds; one unstable separatrix runs toward the nearby stable node, while the other runs out of the local neighbourhood. The two equilibrium branches and their local invariant manifolds exchange roles as passes through one, which is the standard local phase portrait of a transcritical bifurcation.
The phase-plane equations are , . Nonnegative equilibria require and , hence only . At the origin , so the linear eigenvalues solve
For the roots are complex with negative real part, giving a stable focus. For both are negative real numbers, giving a stable node. Equality is the repeated-root threshold and is not covered by either strict classification.
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.
For , the equilibria are and . At the origin the eigenvalues are , so it is a saddle for every .
At either nonzero point the Jacobian matrix is , with eigenvalues
Both points are attracting for and repelling for . For they are stable foci; for stable nodes. For they are unstable foci; for unstable nodes. At the two repeated-root boundaries they are degenerate nodes. At , linearization has purely imaginary eigenvalues; the conserved energy in the next part shows that they are actual nonlinear centres. Thus the zero-real-part case is resolved by an additional first integral, rather than by the linear test alone.
The equilibria satisfy and , giving and . At the origin,
Their product is , so the origin is a saddle equilibrium for every real .
At either nonzero equilibrium,
The determinant is positive and the trace is . Thus both equilibria are attracting for , repelling for , and have purely imaginary eigenvalues at . More precisely they are stable foci for and stable nodes for ; they are unstable foci for and unstable nodes for . At the two discriminant-zero endpoints they are repeated-eigenvalue degenerate nodes, with a nondiagonalizable Jacobian. At , linearization alone does not determine nonlinear stability or prove a nonlinear centre.
Sink equilibrium 2026-10-14
A hyperbolic equilibrium point is a sink when all its eigenvalues have negative real parts. Nearby trajectories converge exponentially to it. In a planar system this includes both stable nodes and stable foci. The condition is stronger than neutral stability: a centre equilibrium is not a sink.