Attractor Created 2026-10-24 Updated 2026-11-05
An attractor is an invariant set approached by nearby trajectories of a dynamical system. A useful precise convention is a compact invariant set that is Lyapunov stable and attracts some open neighborhood: starting sufficiently close keeps the trajectory close for all future times, and the distance to the set tends to zero. Definitions differ over the stability, uniformity and minimality conditions, so those conditions should be stated when they affect an argument.
For the discrete dynamical system on , the fixed point zero is an attractor. If , then ; if is small, every later value is at least as small. Its basin of attraction is exactly . The other fixed point, one, is invariant but repelling: its derivative is two, and arbitrarily close starting values can move away.
An attracting limit cycle is an attractor consisting of a whole repeating orbit. A trajectory can approach that set while continuing to move around it, so attraction to a set does not mean convergence to one stationary point. A strange attractor can have more complicated geometry; attracting nearby trajectories alone does not imply chaos.
For a planar Hamiltonian system with vector field perturbed by , the divergence theorem expresses the leading drift of the first integral around a closed periodic orbit asA vanishing drift is a necessary first-order selection condition for a persisting periodic orbit. A simple zero with outward drift on its inner side and inward drift on its outer side yields an attracting limit cycle. In the Hamiltonian limit of three-to-one forcing, the separatrix triangle has mean , so the leading separatrix flux vanishes at . A homoclinic or heteroclinic transition still requires the separatrix splitting and higher-order corrections to be controlled.
Conservative planar phase portrait Created 2026-09-24 Updated 2026-11-05
For a one-dimensional conservative mechanical system,the chain rule gives . Trajectories therefore follow contours of mechanical energy, with direction determined by .
A nondegenerate local minimum of the potential energy gives a center equilibrium surrounded by small closed energy contours; a nondegenerate local maximum gives a saddle equilibrium. The saddle-energy contours form separatrices between different types of motion. Degenerate stationary points require higher-order analysis.
For , the minima at have energy and the central maximum has energy zero. Levels form separate periodic families around the wells, contains two homoclinic orbits, and gives periodic motion traversing both wells. These closed contours are not isolated limit cycles.
Delayed negative feedback model 2026-10-14
A feedback delay is a time interval between an event and its returning influence. Multiple biochemical steps can introduce an effective lag; a fixed delay is an idealization, not a universal description of signal transduction. To isolate timing, let be a signed displacement from an equilibrium point and use normalized dimensionless variables:The local removal is and the returning influence is negative at every delay. At the ordinary differential equation reduces to the decay already illustrated under signaling feedback. For a delay differential equation requires a history on , not just an initial condition at one instant. Negative values of are displacements, not negative chemical concentrations.
An exponential function gives the characteristic equation of a delay differential equationPutting and equating real and imaginary parts gives and . The first crossing with therefore occurs atFor this particular mathematical model, the equilibrium point is asymptotically stable for . No nonnegative real delayed feedback characteristic root can satisfy the equation; the first loss of asymptotic stability is the indicated pair of imaginary delayed feedback characteristic roots. Differentiating the characteristic equation of a delay differential equation along a root yieldsThus the pair moves into growth as the delay increases through . The neutral mode at is a periodic function, but its amplitude depends on history: this linear mathematical model does not select an attracting limit cycle.
The figure plots using a delayed feedback characteristic root and that same formula on the history interval. At the displayed mode decays; at it grows. These are exact modes up to numerical root accuracy, not step responses with identical histories. Molecular bounds and a changed return law would be needed to interpret what happens after an unstable biological response becomes large.
On the punctured plane, the vector field , has the displayed polar equations. Its exact trajectories satisfy and . Every forward trajectory approaches the unit circle, rotating counterclockwise, from inside or outside according to its initial radius. The circle is an attracting limit cycle with least period . The origin is not an equilibrium: the original vector field is undefined there. The singularity prevents an application of a whole-plane Bendixson-Dulac criterion to this periodic orbit.
Generalized Hopf bifurcation 2026-10-14
A generalized Hopf bifurcation has a vanishing cubic radial coefficient and nonzero quintic coefficient. The two parameters unfold the eigenvalue real part and cubic coefficient. With , periodic orbits satisfy . Their saddle-node bifurcation curve is with , hence . For the smaller-radius limit cycle is stable and the larger one unstable where both exist; their collision explains why the criticality change of a Hopf bifurcation curve brings a saddle-node bifurcation of periodic orbits.
// Destination: partial-differential-equation.bigb
Hopf bifurcation Created 2026-09-24 Updated 2026-10-13
A Hopf bifurcation creates or destroys a small periodic orbit near an equilibrium point as a pair of complex conjugate eigenvalues crosses the imaginary axis. It explains how a resting state can give way to sustained oscillations: the linearization of a dynamical system supplies rotation and growth, while a nonlinear term can saturate that growth at a nonzero amplitude.
The simplest supercritical Hopf bifurcation is the exact Hopf normal formHere is a complex number, is the bifurcation parameter, and is the angular frequency. In polar coordinates , the equations become and for . At , each turn shrinks towards the equilibrium point. At , small radii grow and large radii shrink towards , producing a limit cycle. For example, and give radius , period , and frequency cycles per unit time. The limiting angular frequency stays nonzero while the amplitude tends to zero: a tiny newborn oscillation can still repeat at a finite rate.
For a precise generic statement, consider a smooth function defining an autonomous differential equation on , with a smooth branch of equilibrium points and critical parameter . Require:Then a locally unique branch of small periodic orbits, up to phase, emerges on the side . On the two-dimensional centre manifold, the branch attracts for and repels for . Attraction in the full phase space additionally requires all remaining eigenvalues to have negative real part; any transverse unstable direction makes the periodic orbit unstable there.[ref]
- the Jacobian matrix to have a simple pair of eigenvalues , with and ;
- every other eigenvalue to have nonzero real part at ;
- a transverse crossing, ;
- a nonzero cubic radial coefficient in the reduced Hopf normal form.
https://www.scholarpedia.org/article/Andronov-Hopf_bifurcation. Yuri A. Kuznetsov's authored account of the generic Hopf theorem
An eigenvalue-crossing bifurcation test alone cannot establish these nonlinear conclusions. For example, the purely linear equation has the same crossing but no isolated periodic orbit: at every nonzero radius is constant, and at none is. If the cubic coefficient vanishes, higher-order terms must be examined; a generalized Hopf bifurcation is one possible degeneracy. The usefulness of the generic theorem is that a large system can have its small oscillatory onset understood through one Hopf normal form, subject to these hypotheses and local limits.
For , the Hopf bifurcation amplitude equation has cubic coefficient in the leading position amplitude. The quadratic restoring term produces mean shift and second harmonic . Consequently and , giving the coefficient by energy averaging. A negative value gives a supercritical stable limit cycle; a zero value requires higher-order analysis.
For , and , the origin loses stability at and a stable small circular orbit appears for larger . Its radius is . The Cartesian vector field is continuously differentiable but not generally twice differentiable at the origin, so the usual smooth Hopf normal form and its square-root amplitude law do not apply directly. The explicit radial equation proves the transition.
Imperfect soft Duffing-van der Pol oscillator Created 2026-10-14 Updated 2026-11-05
The imperfect soft Duffing-van der Pol oscillatorcombines a softening restoring force, velocity-dependent damping and the symmetry-breaking term . The equilibrium points are and , whenever the latter are real. The associated Jacobian matrix has trace and determinant .
At , the equilibrium equation has the reflection symmetry . For , the branch near zero crosses the zero branch at , giving the generic transcritical bifurcation when . The two nonzero roots meet at , , giving a generic saddle-node bifurcation when . The excluded trace-zero cases have an additional linear degeneracy and require further analysis.
The mechanical energyhas the exact derivative . Thus the sign of energy input can change with displacement even at a fixed value of .
For , the two outer equilibria are saddle equilibria. Their potential barriers are generally unequal when , so a symmetric saddle connection can split into distinct directed connections under an imperfection. The weak-damping heteroclinic splitting of a tilted quartic oscillator calculates their leading parameter curves. Local equilibrium formulas alone do not guarantee a limit cycle or determine its global termination.
Leslie-Gower predator-prey model Created 2026-10-31 Updated 2026-11-05
The system , combines logistic prey growth, saturating predation and a predator carrying level proportional to prey density. Its unique positive equilibrium is , where . Its Jacobian matrix has determinant and trace . The positive trapping construction for the Leslie-Gower model gives a compact positive region and a limit cycle whenever this equilibrium is a repeller.
Lotka-Volterra equations Created 2026-10-03 Updated 2026-11-05
The Lotka-Volterra equations model interacting prey and predator populations:with positive parameters. In the absence of predators, prey grows exponentially at rate ; in the absence of prey, predators decline at rate . The terms proportional to represent encounters, suppressing prey and supporting predators.
The positive equilibrium is . On the positive quadrant, the functionis a first integral: differentiating gives . It has a strict minimum at the equilibrium and diverges at the quadrant boundary and at infinity, so its regular levels are closed periodic orbits.
The cycles form a conserved family rather than attracting limit cycles. This neutral behavior is a feature of the idealized interaction model; it should not be inferred for models with additional density dependence or other population effects. The Logarithmic first integral of the Lotka-Volterra equations gives a convenient normalized version.
Assume the vector field and multiplier are continuously differentiable, as required for Green's theorem and uniqueness of trajectories. A nonconstant periodic trajectory of a planar autonomous system is a simple closed orbit: uniqueness prevents crossings, and one traversal can be taken over its least period. Let be its bounded interior. Along the orbit , , soGreen's theorem identifies this with , which is strictly positive by hypothesis, a contradiction. Thus there is no nonconstant periodic orbit. This standard periodic-orbit criterion does not by itself exclude stationary solutions.
For the first concrete system choose . ThenThere are also no equilibria: requires , but then . Consequently it has no periodic solution, including constant ones.
For the second system the origin is outside the domain of the printed vector field. For ,Thus for an admissible initial point with ,where , . These formulas are valid while , in particular for every . Trajectories rotate counterclockwise, spiral outward when , and inward when , approaching the unit circle. On they give , , a periodic orbit with least period . It is an attracting limit cycle. There is no contradiction with the preceding criterion: this vector field is singular at the origin and has the exhibited closed orbit.
Counterclockwise trajectories approach the attracting unit circle
. Details. For zero damping the conserved mechanical energy isFor , the potential grows to infinity in both directions, so every nonstationary finite-energy trajectory is trapped between two turning points and is periodic; the zero-energy solution is stationary. The case is the harmonic oscillator. The negative- comparison extends the parameter range initially stated in the source.
For , the origin lies in a local potential well, with barriers at of height . A trajectory launched from the origin oscillates precisely when its initial energy is below that barrier:At equality the trajectory approaches a barrier equilibrium asymptotically, rather than being periodic; for example the positive branch is . Above the barrier the trajectory escapes the well. The source's inequality without the absolute value tacitly takes ; for signed initial velocity the energy criterion requires .
Next set and assume . The energy satisfies . This bounds the complete trajectory. The zero-dissipation set is the union of and , and its only invariant trajectory is the origin: a nonzero point on either axis immediately leaves it under the differential equation. The LaSalle invariance principle therefore gives . If as well, damping is absent and that conclusion fails for nonzero ; the positive order-one damping assumption is essential.
For the weakly nonlinear periodic motion, write , set , , and expand . The first correction obeysResonant forcing at the fundamental frequency would generate secular terms. Eliminating both coefficients yieldsConsequently the maximum displacement is for fixed positive . A possible third-harmonic correction is , up to homogeneous amplitude and phase choices. The leading amplitude also balances averaged damping: its slow evolution is , whose nonzero fixed point is attracting. The case is a degenerate zero-amplitude limit, rather than a nonzero limit cycle.
Use the Poincaré-Lindstedt method. Introduce and . The leading equation gives and , after fixing the arbitrary phase. At order ,Here . Periodicity requires the two resonant coefficients to vanish. With , this givesTherefore the leading limit cycle is , with frequency . For example the nonresonant first correction contains ; its homogeneous sine/cosine pieces depend on phase and amplitude conventions. The absence of a first-order frequency shift is a solvability condition, not an assumption.
Use the method of multiple scales with independent fast and slow variables and , and write , . At the next order, . Its resonant terms areSuppressing secular terms yieldsThe leading initial data are , up to adding an integer multiple of to the phase. Thus . The amplitude decreases from four towards the stable value one, consistent with the selected limit cycle; the zero-amplitude state is unstable. Order- corrections enforce the exact initial derivative after differentiating the slow amplitude term.
An equilibrium point of a dynamical system is a state with , so the trajectory stays there. In a planar phase portrait, an unstable spiral has a complex-conjugate pair of Jacobian matrix eigenvalues with positive real part: nearby trajectories rotate while moving outward. An attractor is an invariant set approached by trajectories from a neighborhood, its basin of attraction. It can be an equilibrium point, a limit cycle, or a more complicated set; outward spiralling near one equilibrium point does not preclude attraction to a larger set.
At an equilibrium , set . The Jacobian matrix, its trace and its determinant areThe eigenvalues and their discriminant areThus the complete local linear stability test isIn the last two cases, gives a node, while gives a focus; the sign of distinguishes inward and outward trajectories. At , a nonzero repeated eigenvalue gives a degenerate node. At the eigenvalues are purely imaginary, so linear stability analysis alone does not decide asymptotic stability; with the required crossing and nondegeneracy this is a Hopf bifurcation. At there is a zero eigenvalue, requiring a nonlinear test and generically marking the saddle-node bifurcation in the preceding answer.
For a unique simple equilibrium, , so it can be a sink equilibrium or a source equilibrium. The number of equilibria alone does not decide stability. If , the unique simple equilibrium is always a sink equilibrium. If , it can become a source equilibrium where . The same conclusion follows particularly simply if : the trace is negative at every nonsaddle equilibrium.
For three simple equilibria ordered by their coordinates, the middle one has and is a saddle equilibrium; the two outer ones have . When both outer equilibria are sink equilibria, each has an attracting neighborhood, giving bistability. In the usual two-basin portrait, the stable manifold of the saddle equilibrium separates their basins. Each branch of its unstable manifold initially leaves towards a different side; its eventual destination requires a global argument. If , both outer equilibria must be sink equilibria. If , either or both outer equilibria can instead be source equilibria; the same test applies separately to each. The three lower panels illustrate all three possibilities up to exchanging left and right.
The arrows in the phase plane follow directly from the nullclines: below the horizontal component points right, and above it left; below the vertical component points up, and above it down. Near a stable focus trajectories spiral inward; near an unstable focus they spiral outward. Near a saddle equilibrium they approach along its stable manifold and leave along its unstable manifold. These directions, together with the local tests, determine the sketches.
Phase portraits of the FitzHugh-Nagumo model with one or three equilibria, including changes of linear stability
. Details. There is also a useful global conclusion when the unique equilibrium is a source equilibrium. Withthe leading term in is , so sufficiently large ellipses are trapping regions. A small repelling neighborhood of the hyperbolic source equilibrium can be removed to form an invariant annulus. The Poincaré-Bendixson theorem then guarantees at least one periodic orbit in that annulus. The numerical sketch illustrates the resulting sustained oscillation; this argument does not assert uniqueness of a limit cycle. A stable equilibrium can instead represent a resting membrane potential, with perturbations producing damped relaxation; near a threshold, a sufficiently large perturbation can produce a large excursion before recovery. Global basin boundaries and coexistence of periodic orbits need more information than the number and local stability of equilibria.
Past exam of the mathematics course of the University of Cambridge 2002 iii Paper 58 2 Solution Created 2026-10-03 Updated 2026-10-14
Use a real physical field, so the three positive wavevectors are accompanied by their complex-conjugate modes. Modulo lattice translations, the effective symmetry group is . Its translation group action isA rotation cyclically permutes the amplitudes; a half-turn acts by simultaneous complex conjugation. Together these generate the sixfold rotation group. These formulas specify the group action independently of the choice of orientation of the three wavevectors.
For a nonzero real hexagon , its stabilizer subgroup is the rotation group . A translation fixes it only when all three phase factors equal one. Cyclic permutation forces a fixed vector to have equal components, and the half-turn forces those components to be real. Therefore . For a roll with nonzero real , the stabilizer subgroup consists of the translations and the half-turn, with . It is , isomorphic to as an abstract group even though spatial reflections are absent. The circle eliminates from its fixed-point subspace of a group action, and the half-turn makes real. ThusIf unreduced physical translations are used, the full lattice kernel is included in both stabilizer subgroups. The real representation on the six critical components is absolutely irreducible: translations distinguish the three Fourier pairs, rotations permute them, and the half-turn rules out a complex scalar in the commutant. The equivariant branching lemma consequently supplies generic steady branches of both axial types at a transverse crossing of the common linear eigenvalue. It guarantees existence, not stability or exhaustiveness of the possible branches.
Translation equivariance severely restricts the monomials in . Through cubic order they are , , , and : each has the same translation weight as , using . The half-turn forces their coefficients to be real; the rotation gives the two cyclic counterpart equations. A spatial reflection would interchange and require equal cross-couplings, but it is not a symmetry here. After a real amplitude rescaling makes the generic nonzero quadratic coefficient one, the rotational hexagon amplitude equations arewith the other two equations obtained by cyclic permutation. All four coefficients are real; records the absence of spatial reflection. The normalization assumes the resonant quadratic coefficient is nonzero; its vanishing would be an additional degeneracy.
For the roll, . The radial eigenvalue is and the phase of the active mode is a neutral translation. The transverse variables have matrixIts two real eigenvalues, each occurring twice in the full real linearization, are . Define and . Strict attraction modulo translation is therefore equivalent toIndeed the larger transverse eigenvalue is negative precisely when , and squaring is legitimate only after requiring . If , that inequality is impossible. Equality is also insufficient because of the additional positive term . Any nonzero roll that exists with already has a positive radial eigenvalue; the degenerate case has no ordinary isolated nonzero roll branch.
For hexagons put . A nonzero real amplitude satisfies , or when . Separate real and imaginary disturbances. The real Jacobian matrix is cyclic, with diagonal and off-diagonal entries . Its eigenvalues areThe imaginary Jacobian matrix has every entry equal to , giving eigenvalues . The two zero modes translate the hexagonal pattern. Thus the general strict stability conditions for any nonzero root areThese conditions state orbital stability transverse to translations, not asymptotic convergence to one prescribed spatial phase. Equalities require a nonlinear bifurcation calculation.
When , both are positive. The upper positive hexagon branch is radially stable after its saddle-node bifurcation at , ; it remains stable until . At this second threshold the pair crosses the imaginary axis with nonzero frequency if . The crossing is transverse, since and the derivative of with respect to is two there. Hence, subject to the usual nonzero cubic coefficient, this is a Hopf bifurcation:For the same threshold has two zero real eigenvalues, so it is not a Hopf bifurcation.
A possible phase portrait when neither steady branch is stable has an attracting periodic oscillation surrounding the unstable hexagon, with the three amplitudes waxing and waning cyclically. This is realized, for example, by , , just above . Rolls are unstable for every positive because . At the hexagon Hopf point , the real spectrum is . Evaluation of the cubic Hopf normal form with a unit-norm critical eigenvector gives , so this example has a supercritical Hopf bifurcation and an attracting small limit cycle in the real invariant subspace. The figure shows such a cycle at and an approaching trajectory; the positive octant is forward invariant because an amplitude's derivative at zero is the product of the other two. This is a possible portrait, rather than a claim that every parameter set with unstable rolls and hexagons has the same attractor. Stability asserted for the periodic orbit here is within the stipulated real subspace.
Past exam of the mathematics course of the University of Cambridge 2003 iii Paper 59 1 d Solution Created 2026-10-03 Updated 2026-10-14
First analyze the supplied normal form as a dynamical system in its own right. Its equilibrium points are and, for , . At , the trace is and the determinant is . At , the determinant is , so both are saddle equilibria. Thus is the pitchfork bifurcation curve, and is the Hopf bifurcation curve. With the allowed supercritical Hopf bifurcation, an attracting limit cycle is born on around the repelling origin.
The Hamiltonian obeys . Set , , , , and . The limiting Hamiltonian system has two oppositely directed heteroclinic orbits with for . The Melnikov energy-balance method givesIts unique simple zero gives a heteroclinic cycle curveThe two connections occur on the same curve because reflection interchanges them. The attracting limit cycle grows toward this heteroclinic cycle, then disappears. In the small unfolding neighborhood there is one such connection curve, rather than two independently split curves. There are no nearby homoclinic orbits replacing it: the two equal-height outer saddles are the relevant separatrix endpoints.
This calculation transfers to the original equations only if the asserted reduction is valid. The cubic calculation in part (c) shows it is not valid for the printed coefficients. Nevertheless, the claim of a single nearby global bifurcation curve for the original equations can be proved independently. Put , , , , and . Eliminating using producesThe order- correction is reversible and has no first-order separatrix energy imbalance. On the limiting positive connection, and . The first dissipative balance isAgain the zero is simple, and reflection makes the two heteroclinic orbits simultaneous. Hence the actual original equations have the unique local connection curveThe unstable limit cycle on the subcritical Hopf bifurcation side reaches this curve. Thus the original system still has one nearby global connection curve, but its tangency and cycle stability differ from those of the supplied assumed cubic normal form. These statements concern connections contained in the shrinking neighborhood of ; they do not exclude unrelated distant global bifurcations elsewhere on the sphere.



