With periodic boundary conditions, the spatial mean of is a conserved quantity. For zero mean write with periodic zero-mean . The functional generates , . Thus . Completing the square in bounds above by a coercive quartic polynomial when , ruling out nonconstant recurrent motion on regular precompact trajectories.
Convection amplitude coupled to a conserved field Created 2026-10-06 Updated 2026-10-14
A representative scaled amplitude model has complex and real with
Periodic boundary conditions conserve , because the right-hand side is a total second derivative. The slow field can change long-wave convection roll stability and permit localized pulses. For zero mean , the uniform convection rolls are , , .
Energy estimate Created 2026-09-24 Updated 2026-10-14
An energy estimate tests a differential equation against the solution or one of its derivatives to control a norm by initial data and forcing. Coercive terms represent dissipation, while Young inequality and the Gronwall inequality control lower-order terms.
For the difference of two smooth heat equation solutions with , identical PDE source term, initial conditions, and either periodic boundary conditions or Dirichlet boundary data, integration by parts gives
The initially zero nonnegative integral stays zero, proving uniqueness. The same computation bounds changes in the L2 norm when the initial conditions differ. Specifying data and a solution class makes this argument meaningful.[ref]
Near a spatially extended Hopf bifurcation, a critical oscillatory normal mode has a slowly varying complex amplitude. For a selected travelling-wave branch, a method of multiple scales expansion takes the form
Here the distance from onset is of order , is the critical eigenvector, and is the group velocity. The comoving coordinate removes the first spatial derivative of the envelope. Projection at the first resonant order gives . Spatial translation and the temporal phase of the Hopf oscillation give a constant-phase symmetry , which permits the cubic term but forbids a generic term. The coefficients are complex because the envelope has both growth and frequency detuning. For a supercritical branch with positive real diffusion, real rescalings and a uniform phase rotation give the complex Ginzburg–Landau equation
A subcritical Hopf branch requires higher saturation terms instead. If spatial reflection makes opposite travelling waves critical together, two coupled amplitude equations are required initially; the scalar equation applies to a selected single-wave branch when its competing amplitude is stable.
Distant boundaries can still determine which travelling pattern is observed. They can select its phase and wavenumber, reflect a travelling disturbance, inject a competing wave, or let a growing wave packet leave the domain. In particular, amplification in a comoving frame can be convective wave-packet instability rather than absolute wave-packet instability at a fixed laboratory point. A finite-domain outcome then need not reflect intrinsic bulk modulation dynamics. Periodic boundary conditions are the appropriate idealization when studying bulk instabilities without end selection or reflected-wave forcing: they eliminate physical end layers and make the allowed envelope Fourier modes discrete. They do not assert that real distant boundaries are always negligible. Choose a periodic length compatible with the carrier, fix the phase winding, and compare perturbations within that same periodic problem. On an open physical domain the group velocity and actual boundary conditions must be restored.
The optimum carrier wavenumber corresponds to the spatially uniform envelope , often called a flat state. Its phase is arbitrary. Write with real small amplitude and phase disturbances. To first order,
A Fourier mode therefore has matrix and dispersion relation
The trace is negative. The amplitude mode at has eigenvalue , while the phase mode is neutral because constant phase shifts preserve the solution. Put . For every nonzero real , the determinant is positive if , whereas makes it negative for . Thus
This is the Benjamin-Feir stability condition. At , nonzero modes still decay, but the leading long-wave decay is fourth order rather than diffusive. On a periodic envelope interval of length , the smallest nonzero wavenumber is , so strict stability of all allowed nonzero modes requires
A sufficiently short periodic domain can therefore exclude the unstable band even when the infinite-domain Benjamin-Feir stability condition fails.
The amplitude is damped while the phase is slow. For a slowly varying phase, the leading slaved amplitude is . Substitution in the phase equation gives the diffusion term and the nonlinear frequency shift . The latter also follows directly from a constant phase gradient: an envelope with gradient has amplitude squared and frequency . Constant phase symmetry rules out undifferentiated ; translation invariance gives constant coefficients. The leading comoving Ginzburg-Landau equation also has spatial parity, so odd linear derivatives are absent at this order. Its neutral phase eigenvalue expands as
This coefficient follows by inserting a power series for in the quadratic dispersion relation. Close to , it becomes at leading order. The long-wave phase reduction of the complex Ginzburg-Landau equation is consequently
The fourth derivative regularizes negative phase diffusion. Terms omitted here have higher order in the long-wave expansion. First-order advection has been removed by the group-velocity frame; higher odd derivatives in a more general travelling-wave problem are beyond this leading amplitude approximation.
Take with small. At the instability boundary , so is nonzero. Set , , and . At leading order the phase dynamics become the potential Kuramoto-Sivashinsky equation,
With this is
The variable is a phase-gradient disturbance, not the original physical field. Periodicity of the phase fixes for the zero-winding branch; the Kuramoto-Sivashinsky equation conserves this mean. The scaled period is .
At fixed period , the flat phase has growth rates , . Its first loss of stability occurs at . To find what replaces it, put and consider just above . After choosing an origin by translation, expand a small steady modulation as . Projection of onto the first two harmonics yields
Since at onset, this harmonic is slaved to . The fundamental amplitude obeys
The primary periodic bifurcation of the Kuramoto-Sivashinsky equation is therefore supercritical. For ,
The radial eigenvalue of this nonzero branch is ; all higher harmonics remain damped and the modulation's spatial phase is neutral. Thus the small finite-amplitude modulation is stable in the sense of orbital stability, at fixed mean and fixed period, despite the flat state's instability. The two signs of represent translations of the same modulation. In the potential formulation the spatial mean of advances at : the original wave acquires a nonlinear frequency correction rather than requiring a time-independent absolute phase.
For larger , further linear modes become active and the small-amplitude argument no longer determines stability. A periodic modulation must then be tested with the operator on mean-zero periodic disturbances. Its translation mode is always neutral, and secondary oscillatory or more complicated modulation can occur. Moreover, stability against perturbations of the same period does not prove stability against disturbances of a larger period; those require a separate sideband or Floquet theory calculation. The controlled conclusion near the first threshold is the existence of a stable small modulation family, not universal stability of all periodic Kuramoto-Sivashinsky solutions.
Because , a periodic primitive exists. Fix its additive constant by . Integrating the conserved-field equation once in space gives : the possible integration constant vanishes on taking the spatial mean. Treat the spatial average as the inner product defining functional derivatives. Integration by parts, with no boundary terms under periodic boundary conditions, gives
Thus the conserved-field real amplitude equation is a gradient flow ascending , or descending , with positive diagonal mobilities. Along a classical solution,
For the mixed term put and . The Cauchy-Schwarz inequality and a completed square give
Consequently, for ,
The negative leading quartic coefficient proves the upper bound. The stronger pointwise square completion
is also useful: a superlevel set bounds the amplitude in , its spatial derivative in , and in , because a quartic polynomial with negative leading coefficient dominates its lower-order terms.
The dynamics dissipates toward the steady-state set rather than sustaining nonconstant periodic motion. Indeed increases to a finite limit, and the time integral of is finite. For global regular trajectories with the usual parabolic precompactness, every limit point is stationary, by the LaSalle invariance principle. A nonconstant periodic or recurrent orbit would force a strictly increasing to return to its original value and is impossible. Boundedness of a monotone functional alone does not prove convergence to one particular equilibrium; isolation of the limiting equilibrium or an additional convergence theorem supplies that stronger claim.
For a periodic potential, the Hamiltonian commutes with every lattice translation. The three primitive translations are commuting unitary operators, so within each energy eigenspace one can choose simultaneous translation eigenstates. Their eigenvalues have modulus one and can be written . Translation by any lattice vector then gives
This proves Bloch's theorem in its eigenbasis form; arbitrary superpositions inside a degenerate eigenspace need not themselves have a single Bloch wavevector.
The reciprocal lattice consists of vectors with . Changing to and to gives the same physical wavefunction with a periodic new . The eigenvalue problem on one cell has a discrete set of levels, giving bands indexed by , and this equivalence yields . A reciprocal-lattice fundamental domain, conventionally a Brillouin zone, therefore labels inequivalent wavevectors.
Periodic boundary conditions in physical volume give one allowed wavevector per reciprocal-space volume . Including the two spin states, there are states; per unit physical volume the count is the printed . Each occupied state carries charge and velocity , so
For a full band, the integral of is a boundary integral. Opposite faces of a reciprocal fundamental cell have equal energies by periodicity and opposite normals, so their contributions cancel. Hence a full band carries zero electric current.
Let , and . For the exact solution of the advection equation, the three left-hand samples are translations by , and relative to ; the right-hand samples are translations by zero and .
Denote their coefficients by , , , and . Taylor expansion compares moments
where in the zeroth moment. Direct calculation gives
Thus the unscaled exact-solution residual is
For fixed nonzero , dividing by the time step yields
The scheme is therefore third order under fixed-Courant refinement, with an unscaled one-step defect of order four. Stability then gives third-order accumulated error for smooth data with periodic boundary conditions. Calling the unscaled defect fourth order is a different convention, not fourth-order approximation of the differential equation.
At , the amplification factor in (b) becomes exactly : the numerical step translates the grid data by that integer number of cells and is exact for this constant-speed advection equation. At it is the identity, a zero-time-step limit. These are exact special shifts, rather than merely a cancellation of one term of the Taylor expansion. This is the implicit advection scheme with exact integer shifts.
Choose a spatial interval with periodic boundary conditions and a uniform grid, so no separate inflow boundary closure of a difference scheme is required. The discrete Fourier transform is a unitary operator in the discrete L2 norm. Every circulant stencil is diagonal in that transform, and a one-step Fourier multiplier is a contraction exactly when its modulus is at most one for every grid frequency. For a mesh-uniform statement, use all , the limiting frequency range.
A Fourier mode gives
with the coefficients from (a). Squaring moduli and putting yields
This has the required nonnegative sign for every frequency exactly when
One must also check that the implicit equation is solvable, rather than divide by a vanishing symbol. Here
For , a zero would have to occur at zero or ; the latter occurs only at , both outside the displayed stable intervals. At , . Thus there is no denominator zero in the stable range. For fixed such , continuity on the compact frequency interval gives a uniformly bounded inverse, and proves for all steps.
Outside these intervals the displayed difference is negative at every nonzero frequency where , so . On periodic refining meshes there are frequencies approaching any selected such value. Their amplification is bounded away from one and is repeated times over a fixed physical interval when , violating a mesh-uniform stability bound. At the two singular parameters the implicit operator itself fails on meshes containing the Nyquist mode. These observations prove necessity as well as sufficiency.
For the physical convention , , the result is or , with zero admitted as the identity limit. The negative intervals describe the algebraic contraction result for signed Courant numbers. In particular, the additional large positive interval must not be discarded by imposing the usual explicit-scheme Courant–Friedrichs–Lewy condition: this scheme is implicit. Stability at large fixed Courant number is not a guarantee of a small error constant.
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.
Periodic domain Created 2026-09-24 Updated 2026-10-14
A periodic domain identifies opposite faces of a fundamental cell, producing a flat torus. On an interval , smooth periodic boundary conditions require and matching spatial derivatives. These endpoints are one location, rather than two independently controlled walls. Periodic integration by parts has no boundary term, and zero-mean functions have no zero Fourier mode.
Use dimensionless and , the periodic domain , and the same initial condition
With zero PDE source term, compare the heat equation and the transport equation . Their exact solutions are
Each cosine satisfies , so the heat equation reduces its amplitude according to . The superposition principle combines the constant and two Fourier modes. The transport equation shifts the argument of the entire profile. Both formulas meet the initial condition and matching periodic boundary conditions exactly.[ref]
At , the heat amplitudes are approximately and : the small ripples disappear much sooner than the broad variation. The transport equation retains amplitudes and , shifting the profile right by one unit with wraparound. Both preserve spatial average , but only the heat equation approaches the uniform profile. This gives diffusion its usefulness for smoothing uneven temperatures, while the transport equation models a profile carried by a flow. The signed profile can represent a scaled temperature deviation.
Figure 1.
Exact evolution of one periodic profile: transport translates while diffusion preferentially removes short wavelengths
. Details.
To restore units, let physical position be and time be . For , the dimensionless coefficient is , with measured in length squared per time. For , it is , with measured in length per time. Both plotted coefficients equal one when and . Thus the example compares specified models on the same scales, rather than identifying diffusivity with velocity.
Consider the advection equation with constant speed , no sources, and periodic boundary conditions on . Use equal cells of width , time step , and indices modulo . The exact solution is the periodic translation . At a face, the Riemann problem transports the left state to the right, so the two-state upwind numerical flux is , with .[ref]
The finite volume method with this numerical flux and an explicit Euler method step gives
Here represents a cell average; the recurrence also occurs in the upwind finite difference scheme. Impose the specific CFL condition . Each updated cell average is then a convex combination of two old ones. This proves preservation of their initial minimum and maximum, including nonnegativity for nonnegative data, and contraction of the maximum norm of the difference of two solutions on this periodic grid. These statements concern this constant-speed scalar update with this time step.
For an original synthetic example, take , , , , hence Courant number . Choose a function constant on each successive cell, with the following values, so these are exact initial cell averages. One step gives
For example, cell zero receives from cell seven across the periodic face: . All eight face transfers cancel in the total by shared face flux cancellation. More generally this periodic recurrence conserves the total algebraically for any , even though the CFL condition is needed for the convex combination argument. With the same initial data and , one step gives and , despite preserving the total.
Figure 1.
Original periodic upwind profile at zero, one and four steps: the integral remains three quarters while jumps spread
. Details.
After four steps, , the exact translated profile has moved two cells to the right. Repeated averaging instead gives the explicit binomial coefficient formula
with all indices modulo eight. The diagram compares these computed cell averages with the exact translated cell averages. Their integrals agree, but the numerical jumps spread across cells. The finite volume method is useful for jump discontinuities because it retains the integral balance even at a jump; conservation alone does not guarantee a sharp profile. At this particular update is an exact one-cell shift, whereas for it mixes neighboring states. No accuracy conclusion at a jump follows just from the conserved total.
In a finite volume method, orient every face numerical flux to the right. For cells , write the discrete total as . If is a mass per unit length, this total approximates mass; for a different conserved field, it measures that field's integral. Multiplying the update by the cell width gives an amount balance, so adjacent cells contribute
The interior face contributes . Summing all cells gives
With periodic boundary conditions, the two boundary labels denote the same physical face and must use the same numerical flux; then . On an open interval the total changes by the boundary transfers. Unequal widths require the weighted total , not the unweighted sum of cell averages.
Figure 1.
One oriented face transfer leaves the left cell and enters the right cell with opposite signs
. Details.
The diagram uses two unit-width cells, , cell averages and right-oriented numerical fluxes at their three faces. The updated cell averages are : the total changes from to , exactly . The shared interior transfer cancels. If the receiving cell instead used for that same face, the total would acquire the spurious term . Conservation is therefore an algebraic property of sharing the transfer, even when the numerical flux is a poor approximation. In floating-point arithmetic, independently rounded cell updates may still leave small roundoff errors in the computed total.
A prescribed PDE source term changes the heat equation to , or the transport equation to . If is a temperature, has units of temperature per time. The formulas below assume ; a nonzero PDE source term can change the spatial average even with periodic boundary conditions.
Thermodynamic limit Created 2026-09-28 Updated 2026-10-13
The thermodynamic limit describes a sequence of larger systems, not a single enormous specimen: particle number and volume tend to infinity with number density fixed. Hold the chosen intensive and extensive thermodynamic quantities such as temperature and an applied magnetic field fixed along that sequence. In the canonical ensemble the controls are ; in the grand canonical ensemble one instead fixes and chemical potential, and the limiting number density is a result, possibly with a jump at phase coexistence. These are different specifications of a limiting experiment.
The useful limit is usually an intensive and extensive thermodynamic quantities normalization of the Helmholtz free energy, not a finite limit of the total extensive quantity itself:
Here is the canonical partition function, is the Boltzmann constant, is free-energy density, and is Helmholtz free energy per particle. Thus when the limit exists; finite systems need not be exactly extensive quantities because of the surface correction to thermodynamic free energy.
Specify the interactions and the growing containers too. For a conventional fluid, use a fixed stable pair potential with a tempered pair potential tail, and containers whose boundary layer of any fixed thickness occupies a vanishing fraction of the volume; uniformly enlarged cubes work, a tube of fixed cross-section does not give the same bulk limit. For a finite-range Ising model, keep the lattice spacing and bond coupling fixed while enlarging all intended spatial directions. Ordinary bounded wall interactions or periodic boundary conditions can then give the same bulk free-energy density, although boundary conditions can select different spontaneous symmetry breaking states. This is a set of hypotheses, not a theorem that every interaction has a boundary-independent limit.[ref]
The Curie–Weiss model below deliberately uses a different limiting prescription: its all-to-all coupling is divided by . Without that factor its interaction energy would grow as , rather than as an extensive quantity. The model has no spatial wall or correlation length to compare with a container; it is an exactly summable illustration of finite-size rounding, not a quantitative model of the fluid experiment below.