Use a dimensionless Hamiltonian in the functional weight , assume , and let . Reality means . At zero field, the quadratic form is
In the momentum-shell renormalization group, split into below and above . Disjoint Fourier supports make the quadratic form split into . Integration over the shell gives a source-independent Gaussian functional integral multiplying the partition function, or an additive constant in the effective free energy; it leaves the slow-mode quadratic coefficients unchanged before rescaling. A uniform field has support only at zero momentum, so it does not change this shell integration.
Restore the ultraviolet cutoff by , , and choose
The measure, two gradients and two fields have scale factors , and , whose product is one. The mass term has factor , while the uniform source term has factor . Hence the Gaussian momentum-shell scaling is
For a slowly varying nonuniform source the corresponding formula is . Here the nonuniform source on the right is its projection onto the retained Fourier modes; an eliminated source component contributes only to the field-independent Gaussian normalization. The field engineering dimension is and its Gaussian anomalous dimension is zero. The mass and uniform source are relevant perturbations of the Gaussian fixed point. Positivity of is necessary for a stable kinetic term near this point. One can use a finite volume and positive mass as infrared regulators and then take the critical limit; at exactly zero mass the integral over the zero Fourier mode alone is not a normalized finite-volume Gaussian measure.
Compute the coupling flow at zero magnetic field, or assume the source has support only in retained Fourier modes, so that the shell Gaussian measure is centered. First justify the shell propagator. For a positive quadratic kernel on the shell, the Gaussian functional integral gives covariance equal to the inverse kernel,
with both momenta restricted to . Inserting the Fourier transforms and using the Dirac delta function yields the Gaussian shell covariance
Changing to gives the negative-exponent convention as well. The dependence is on the separation, as required by translation invariance. The printed numerator uses alone: it is correct only if that symbol means the separation or if . For example at , the covariance must equal the constant coincident value , while the literal printed integral generally depends on . Thus the missing separation is a real source qualification, not a change of Fourier-sign convention.
Integrating out the shell gives , up to a field-independent constant. At first order in , the cumulant expansion of a coarse-grained free energy retains . Odd moments of the centered Gaussian measure vanish and Wick theorem gives . Writing ,
The last term affects only the constant; the second is a momentum-independent tadpole diagram correction. Before rescaling it changes to , leaves the quartic coefficient at , and produces no gradient correction. Combining with part (a) gives the leading coupling recursion
This is one-loop shell mass renormalization in scalar quartic theory. Here . The shell Gaussian is well defined if there; near this follows from . A negative slow-mode mass may be stabilized by the retained quartic term and does not require pretending that the full unconstrained quadratic measure at negative mass is normalizable.
Linearizing about gives
Its mass and quartic eigenvalues are and . The off-diagonal term is an additive critical-mass shift: setting the bare is not generally the critical tuning when . The mass remains relevant for every ; at the two linear eigenvalues coincide and the matrix can have a Jordan block, but both perturbations are still relevant.
For , the quartic interaction is an irrelevant operator, and the Gaussian fixed point attracts weak quartic perturbations after the mass and magnetic field have been tuned. The quartic can nevertheless be a dangerously irrelevant coupling: its positive value stabilizes the ordered phase. For , it is a relevant operator, so the Gaussian description is unstable toward interactions. At it is a marginal operator; first-order perturbation theory alone does not decide its fate.
To settle that borderline case, retain the leading quartic contribution from the second cumulant, at zero external momentum in the local expansion. The two-fast-field part of is . Since , its connected second cumulant contributes
Keeping the local quartic term and using Parseval identity gives , where . Thus the one-loop shell quartic renormalization is
The coefficient follows from multiplying the quartic density correction by . This local, zero-external-momentum coupling extraction is not a claim that the exact finite-shell effective action retains only its original polynomial; further operators are generated.
More explicitly, for a thin shell , let , and . With increasing length scale , the leading flow is
This convention has the opposite scale direction to a renormalization-group beta function defined using increasing momentum. On the tuned critical surface at , and , so weak positive is marginally irrelevant, tending to zero with logarithmic corrections rather than remaining an exactly marginal parameter. Just below four dimensions, with , the same calculation yields the Wilson-Fisher fixed point , . It does not justify extrapolating a small- expansion to every lower dimension. The ordinary scalar quartic upper critical dimension is therefore
Use a real orthonormal basis of Fourier modes on the time circle:
The eigenvalue of on the constant mode is , and each sine/cosine pair has eigenvalue . Retaining these modes gives
where can depend on but is independent of . Each real Gaussian integral contributes . Consequently the Fourier-cutoff oscillator functional determinant is
A spectral cutoff between successive eigenvalue pairs selects precisely this finite subspace. In comparing two frequencies, the displayed regularization keeps the same number of modes ; holding an absolute spectral threshold fixed need not give the same at finite cutoff.
For a nonzero Fourier mode , the divergence-free condition implies . The complex vectors form a Hermitian orthonormal basis of this transverse plane. Their opposite rotation phases give the helicity decomposition of a transverse Fourier mode; the factor in the amplitudes is a convention. The baryon velocity in this vector sector has the analogous decomposition.
For helicity , the angular source is
The same formula holds for . Thus these sources have only angular order . Streaming multiplies by and the stated Thomson scattering operator is diagonal in , so neither mixes this sector with other angular orders. Assuming the initial anisotropy is in the same vector-helicity sector, or considering the anisotropy generated from zero initial data, the solution therefore contains only with . Arbitrary independently imposed anisotropies of other would instead evolve in their own homogeneous sectors.
There is a genuine normalization inconsistency in the PDF. To retain its printed temperature expansion, write
where denotes exactly the multipoles called in that expansion. The spherical-harmonic streaming recurrence gives the coefficient of in , divided by , as
Here and . Both streaming denominators are therefore , rather than the PDF's and . The dipole source also changes: , so is . The quadrupole collision correction is still .
Thus the vector photon Boltzmann hierarchy consistent with the literal printed expansion is
A concrete counterexample to the printed hierarchy with this expansion is a collisionless instant with and every other multipole zero. Direct streaming gives , whereas the printed hierarchy would give .
Alternatively, preserve the PDF's desired hierarchy by making the photon multipole normalization change
This is the reciprocal angular normalization, not the printed expansion. Multiplying the corrected hierarchy by gives precisely
This supplies both consistent conventions explicitly. The lower coupling vanishes at , so no vector monopole is introduced. Cosmological optical depth to the observer has , giving damping of the dipole and the factor quadrupole damping in this temperature-only collision model; no polarization collision term has been added to the supplied equation.
At the absolute wavenumber, the group velocity is zero. The corresponding accessible saddle therefore governs the disturbance seen at a fixed position. Its exponential growth rate is
Saddle accessibility can be checked directly here. With , whose real part is positive, Fourier inversion gives the Green function of the linear complex Ginzburg-Landau equation,
At fixed its exponential rate is , while along the packet centre it is . For real wavenumbers of Fourier modes, the temporal growth rate is , so the flow is temporally unstable exactly when .
Consequently the classifications for a localized disturbance in this laboratory frame are
For convective hydrodynamic instability, a travelling wave packet amplifies but the response at each fixed position decays. For absolute hydrodynamic instability, that fixed-position response amplifies. The equality is the marginal absolute threshold: its exponential rate is zero and the impulse response has a prefactor. For there is no temporal growth; is temporally marginal. When the convective window is empty. These conclusions use the infinite-line impulse problem; a general dispersion relation requires its own spatial-branch or saddle selection.
Take the physical coefficients real. Substitution of into the linear complex Ginzburg-Landau equation gives , hence
Let . Completing the square yields . Therefore the absolute wavenumber and absolute frequency are
Their explicitly separated parts are
Thus vanishes at . The complex saddle describes the localized Green function response; it is different from selecting a real wavenumber for a Fourier mode for temporal amplification.
Eliminate the instantaneous Stokes flow velocity in favour of temperature. On a horizontal Fourier mode , the Stokes temperature-slaving operator maps to , where and . The temperature evolution has linear operator and bilinear map . Under the homogeneous thermal Dirichlet boundary conditions, is self-adjoint. Normalize its critical eigenfunction as and set ; the critical vertical velocity is .
At order , the critical eigenfunction equation gives . At order , the weakly nonlinear expansion contains the imposed second harmonic and the quadratic products of the critical mode: a horizontally uniform temperature correction proportional to and, in a general vertical-mode calculation, a second harmonic proportional to . These corrections are found by solving the noncritical boundary value problems, with homogeneous thermal data except for the imposed forcing.
At order , the method of multiple scales produces the slow derivative , the detuning term , and the two cross-advection terms involving first- and second-order fields. Project the component onto the adjoint eigenfunction using the vertical inner product. This is the solvability condition in the method of multiple scales: divide each resonant projection by . The detuning supplies with ; interactions of horizontal wavenumbers and permit with ; self-interaction through the slaved mean and second harmonic supplies . Other products have the wrong horizontal wavenumber. Reflection permits real coefficients with this cosine forcing. Thus the symmetry-allowed spatially forced convection amplitude equation is
There is a useful specialization that should not be silently missed. For the literal one-vertical-mode Stokes flow problem, the vanishing two-to-one forcing coefficient for Stokes convection makes at this order. To see this, write a positive second-harmonic forcing component as , incorporating the cosine's factor . Its coupling to the negative critical harmonic has projected integrand, apart from sign and its factor ,
The integral vanishes because at both plates, even though is nonzero. This proves the cancellation without solving the forced profiles. The permitted coefficient is therefore zero times ; symmetry alone does not establish nonzero phase pinning for the equations actually supplied.
The same normalization makes the remaining coefficients explicit. Since , . The quadratic second harmonic cancels for , while the uniform correction is . Projecting gives . Thus for the literal model and this temperature normalization,
A generic nonzero would require a nonvanishing projection in an amended physical model or a different forcing structure. It is still meaningful to classify the real-coefficient amplitude equation requested independently.
Write . Then and . These are a gradient flow for , so local minima give stable equilibrium points. At the origin the two eigenvalues are and . The origin has exponential asymptotic stability if , retains asymptotic stability with algebraic decay at , and is unstable if . At equality, obeys , since both linear coefficients are nonpositive. Integrating this inequality proves attraction even in the zero-eigenvalue direction.
For the stable nonzero equilibrium points are real; for they are imaginary:
The real branch has Jacobian matrix eigenvalues ; the imaginary branch has . The oppositely aligned branch, when it exists, is a saddle equilibrium. No mixed real-imaginary nonzero equilibrium is possible when .
For , the origin is stable for , with algebraic decay at zero. If , the circle is radially attracting. Each point has Lyapunov stability but has a neutral phase direction, so it does not have individual asymptotic stability; the circle has orbital stability. This is the literal model's unpinned family. The general nonzero- branches instead exhibit phase locking to one of two phases separated by .
Take the layer depth as the length unit, its thermal diffusion time as the time unit, and its imposed temperature difference as the temperature unit. Then is the velocity field, the pressure after the conductive hydrostatic pressure has been subtracted, the departure from the conductive temperature , the upward unit vector, and the Rayleigh number. Here is the dimensional depth, the kinematic viscosity, the thermal diffusivity and the thermal expansion coefficient. The gradient, divergence and Laplacian act on the dimensionless coordinates. The term in the heat equation is advection of the background gradient, since . Mass density variations enter only the buoyancy term under the Boussinesq approximation; the incompressible flow constraint is .
For fixed, impermeable, stress-free plates, the no-penetration boundary condition, stress-free boundary condition and perfectly conducting thermal boundary condition are
For a nonzero horizontal Fourier mode, incompressibility gives , so the velocity conditions are equivalently on both plates. A uniform horizontal velocity is not fixed by these boundary conditions; take its mean to be zero when discussing the stationary forced pattern.
The printed small-Prandtl-number label does not generally justify these equations. In thermal-time units the full momentum equation contains , where the Prandtl number is . Dropping that term gives infinite-Prandtl-number convection or another explicitly justified Stokes flow approximation. It is not the general limit. For example the horizontal shear , , satisfies the full linear momentum equation and the plate conditions, and persists at fixed as . The printed inertia-free equation would instead require this shear to vanish. The following parts solve the equations actually displayed; applying them at small Prandtl number needs an additional slaving or creeping-flow ordering.
The spatial shift in the PDF also requires a boundary value beyond the supplied right endpoint: if is the last interior index, the newest value is outside the interval. Thus the printed Dirichlet method has no specified boundary closure, and no unique stability range can be assigned to it as stated.
For completeness, the literal interior formula has an exact Von Neumann stability analysis on an infinite or periodic grid. Substitution of a Fourier mode gives
For the root of a polynomial tending to one as , expansion gives
Consequently is unstable: sufficiently small nonzero frequencies have a root of a polynomial of modulus greater than one, and arbitrarily fine periodic grids contain such frequencies.
Conversely, if and , then
For with ,
Since , the complex quadratic Schur criterion yields both roots of a polynomial in the unit disk, strictly inside except at , where they are and . Uniform stability follows directly from the BDF2 discrete energy identity: the modal recurrence is , whose energy decreases because . Summing the modal energies proves a bound independent of the grid and even of ; no eigenvector-separation assumption is needed. This is the stability of a spatially shifted BDF2 stencil. Thus the literal periodic-grid result is
This cannot establish stability of an unspecified Dirichlet boundary condition closure. It also does not restore consistency of a numerical method.
For the intended unshifted backward differentiation formula, a spatial eigenvalue gives
The Schur stability criterion gives the root condition for a multistep method for every , with strict inequalities for . A useful uniform energy method proof, including the repeated interior roots that a bare separation argument would miss, is the BDF2 discrete energy identity. With and
the corrected Dirichlet discrete Laplacian scheme satisfies
This follows by taking the inner product of with and using summation by parts. It controls both time levels uniformly, regardless of the mesh ratio. Hence the corrected method is stable for
For a fully discrete linear partial differential equation evolution, write in a specified discrete norm. Finite-time stability of a numerical method means
with independent of the allowed meshes. For a multistep method, augment the state with its time-history values and include a stable starter. Bounds may grow as when the continuous problem has growth; demanding decay for all time would be a stronger assertion. The treatment of initial data, forcing, Dirichlet boundary conditions, and the norm is part of the hypothesis, not a detail supplied by an interior calculation.
For constant coefficients on an infinite or periodic uniform grid, Von Neumann stability analysis substitutes the Fourier mode . The discrete Fourier transform and the Parseval identity turn a uniform multiplier estimate into a discrete L2 norm estimate. In a one-step scalar scheme, proves contractivity, while gives finite-time stability. In a multilevel scheme, every root of a polynomial in its amplification polynomial of a multilevel finite difference scheme matters, as does uniform control of the associated companion matrix.
For the Forward Euler diffusion scheme with ,
Thus for all frequencies exactly when
Sufficiency follows since ; necessity follows from the highest-frequency mode on even periodic grids. This gives the usual parabolic mesh restriction . For the Backward Euler diffusion scheme,
so every is stable. The Crank--Nicolson method has
again of modulus at most one for all , but stiff modes approach rather than zero. These are PDE manifestations of the A-stability and L-stability distinctions for time integration.
For advection , assume and set . The upwind finite difference scheme is , with
It is contractive when . This also has a direct maximum-norm proof: each newest value is a convex combination of two old values. The resulting Courant–Friedrichs–Lewy condition expresses that the numerical domain of dependence covers the physical one. For negative , the upwind direction must be reversed. By contrast, Forward Euler method time stepping with the centered first finite difference has and for nonzero . Under fixed nonzero refinement it is unstable, since a fixed nontrivial mode grows geometrically over steps. This is not a claim of instability under every imaginable mesh coupling: instead bounds its spurious finite-time growth, since .
The leapfrog advection scheme illustrates a multilevel subtlety. Its amplification polynomial of a multilevel finite difference scheme is
For , both roots of a polynomial have unit modulus and separation at least . A uniformly conditioned eigenbasis of the companion matrix then proves power boundedness of a two-level Fourier scheme for arbitrary history data. At and a grid admitting , the roots coincide on the unit circle, and a Jordan block produces growth. Thus the endpoint fails the ordinary arbitrary-history root condition for a multistep method; checking only that both moduli equal one misses the instability. Restricting the starter or filtering the parasitic mode is an additional hypothesis.
The energy method handles variable coefficients and finite boundaries for which Fourier stability analysis may be unavailable. For the Backward Euler diffusion scheme with homogeneous Dirichlet boundary conditions, define . The discrete summation by parts identity is
Take the inner product of with . The elementary identity gives
This proves unconditional contractivity including the actual boundary treatment. More generally, a dissipative operator gives of operator norm at most one: with , dissipativity implies , and the Cauchy-Schwarz inequality gives . In finite dimensions this also proves invertibility. For the second-order backward differentiation formula, the BDF2 discrete energy identity used in question 4 controls both time levels and proves unconditional diffusion stability. A repeated root strictly inside the disk is harmless here; the energy argument supplies the uniform bound without a singular eigenvector formula.
A second technique is eigenvalue stability analysis of a finite difference method. Under the method of lines, a time integrator advances by . If is a normal matrix, the scalar linear stability domain criterion on all controls its powers exactly in the corresponding L2 norm. For the centered Dirichlet discrete Laplacian, its eigenvalues lie between and zero; intersecting this interval with a time integrator's stability interval determines its mesh restriction. A uniform bound on the diagonalization of a matrix is needed for nonnormal diagonalizable systems. Eigenvalues alone can be misleading. For example,
has both eigenvalues inside the disk for , but the upper-right entry of is . Taking , , this grows like . Hence stable scalar eigenvalues do not give mesh-uniform stability. Boundary closures can introduce precisely the extra growth that an interior Fourier symbol overlooks, so boundary stability of a finite-difference method must be checked separately.
For nonlinear spatial discretizations, a useful replacement for Fourier stability analysis is a convexity argument. If the Forward Euler method map is nonexpansive in a chosen norm for , the second-order strong stability preserving Runge-Kutta method
is also nonexpansive under the same restriction. Indeed, for two inputs, the triangle inequality gives . Its Taylor expansion is , proving order two. Such strong stability preserving Runge-Kutta methods transfer suitable forward-step bounds without relying on a linear spectral calculation.
Finally, consistency of a numerical method explains what stability buys. For a linear Hadamard well-posed problem, the Lax equivalence theorem equates convergence of a consistent discretization with its stability, under the stated approximation-space and norm hypotheses. Directly, if the error satisfies , iteration gives the discrete Duhamel principle
Thus vanishing normalized local truncation error and initial error yield convergence. With a nonlinear Lipschitz step estimate, the discrete Gronwall inequality plays the same role. A stable but inconsistent stencil, such as the literal defective formulas in questions 3 and 4 under their usual refinement, is not rescued by any amplification bound. The decisive checks are a mesh-uniform evolution bound, a valid boundary closure, and consistency with the actual PDE.
With periodic or sufficiently decaying boundary conditions, integration by parts gives
Assume for a stable quadratic free energy; the diffusive smoothing discussed below requires . In a periodic box of volume , use the unitary convention . A real field has . Since the Fourier transform of a derivative converts to , each Fourier mode obeys
It is an Ornstein-Uhlenbeck process. Multiplication by the integrating factor gives
The noise integral is understood as an Itô integral with a deterministic kernel; writing is shorthand for the corresponding Wiener increment. Direct differentiation in the mild stochastic sense checks both the equation and the initial value. The stated Kronecker-delta noise covariance corresponds to this finite-volume normalization. Unlike a conserved order parameter, the zero wavenumber mode decays at the nonzero rate .
The post-quench Ornstein-Uhlenbeck process has . Its future noise is independent of the initial field. Consequently the cross term between the initial Fourier mode and its future noise integral has zero expectation. The Itô isometry, or the given white-noise covariance, then yields
The initial Gaussian Boltzmann distribution, with , gives in the same unitary normalization. Thus the Gaussian Model A quench has
The static structure factor interpolates monotonically mode by mode between its two positive equilibrium values. The covariance relaxes at twice the amplitude decay rate. These statements assume that , and are unchanged by the quench; both exclude a spinodal instability.
For a deterministic localized initial peak in an unbounded -dimensional sample, the mean obeys . The Gaussian Model A impulse response is therefore the heat kernel multiplied by the local relaxation factor:
The peak spreads over a distance of order and its central height falls both by spreading and by exponential relaxation. Its integrated mean is , rather than : the equation describes nonconserved order-parameter dynamics, despite the use of the word “density” in this part.
An individual realization also develops thermal fluctuations; it does not tend pointwise to zero. For an initially deterministic field, the connected Fourier mode variance grows as , while the deterministic mean decays. It approaches the zero-mean Gaussian equilibrium field at the coarse-graining cutoff. On a periodic or bounded sample use the corresponding boundary-adapted heat kernel; at there is no spatial spreading. The Dirac delta distribution is an ideal initial profile, recovered as a distributional limit; a finite-energy physical peak has a microscopic width.
Use a Fourier mode . Substitution gives
Its roots have product one. They lie on the unit circle for all spatial frequencies precisely when , giving
For , the Nyquist frequency has a real reciprocal root pair with one root of modulus greater than one, giving exponential growth and instability.
The endpoint convention needs care in this two-step wave scheme: repeated unit roots occur at zero frequency, and also at the Nyquist frequency when . They are not power-bounded for arbitrary two independent displacement sequences with a mesh-independent difference. With the usual initialization from displacement and velocity,
each Fourier component satisfies , where . Taking the limiting values at repeated roots and using gives . This is a uniform finite-time stability bound in the physical displacement/velocity data and includes . A strict root-condition test for arbitrary two-level data must record the double-root qualification rather than calling that endpoint unconditionally power-bounded.
The real canonical variables describe the center-of-mass position and total momentum of the open string. The nonzero string oscillators are complex Fourier modes with ; the Lagrange multipliers obey . The Virasoro constraints satisfy , so the multiplier term is real.
For each , the oscillator kinetic term differs from the manifestly real expression
by . Thus the written action is real up to a boundary term, which does not change its symplectic form or bulk dynamics. Adding the corresponding endpoint term makes reality exact.
The independent nonzero Poisson brackets are
All brackets between these independent center-of-mass and oscillator variables vanish. The dependent zero mode is , so, if it is used, .
The Fourier coefficients of the Virasoro constraints are
Their Poisson brackets are
They form the classical Witt algebra, with no Virasoro central extension. In particular they are first-class constraints, closing on the constraint surface, and generate the remaining worldsheet diffeomorphisms rather than independent physical excitations.
For one Fourier mode, put . The collisionless equation becomes
Use the unweighted Legendre polynomial expansion specified in the paper: . The Legendre polynomial recurrence relation says
The coefficient of in receives contributions from and . Dividing by gives respectively and . The metric sources are and , the latter becoming after division by . Hence the neutrino Boltzmann hierarchy is
The lower-neighbour term is absent for . The low moments are
These coefficients depend on the expansion convention. In the convention with a factor, the temperature multipoles are ; using those multipoles without converting them would give incorrect factors in the scalar neutrino anisotropic stress.
For one Fourier mode, the trace-free differential operator in the Einstein field equations is , with . Part (ii) gives . The two minus signs in the field equation therefore imply
Insert . During radiation domination, , , and the Friedmann equation gives . Thus
These are the radiation-era adiabatic potentials with free-streaming neutrinos; photons are taken to have negligible scalar anisotropic stress.
To normalize the potentials, use . The denominator in the comoving curvature perturbation becomes
With , the conserved curvature therefore obeys . Combining it with the potential ratio gives
As a sign and normalization check, gives . Increasing the free-streaming radiation fraction increases while preserving the supplied curvature convention. The TeX's malformed definition of is restored by the PDF: .
Write and . Under the stated matter-era growing-mode approximation, , and ignoring velocities removes the Doppler CMB anisotropy. The two peaks of the cosmological visibility function give the Cosmic microwave background line-of-sight solution
Apply the same solution with observation time , just before the thin reionization screen. Between recombination and that screen there is no further scattering, so free propagation gives
A direction-independent potential commutes with the angular average. Thus the incoming photon monopole plus the potential at the screen is
Substitution gives
This derivation inherits the neglected scattering quadrupole and polarization assumptions of part (ii); the screen is an idealized isotropizing approximation.
For a plane Fourier mode , the angular average is explicit:
where is the zeroth Spherical Bessel function. The mode's observed transfer is
If , the rescattered monopole is suppressed by at least , because the incoming directions sample incoherent phases. If , and the two propagation phases agree to leading order. The two weights then sum to one. Consequently
These are the small-scale damping and large-scale coherence limits of reionization damping of cosmic microwave background temperature anisotropy.
Each small-scale primary temperature amplitude is multiplied by , so its Cosmic microwave background power spectrum is multiplied by . Holding transfer parameters fixed,
Many measured high- modes determine this combination accurately. Their derivatives and are degenerate: a change leaves the leading temperature spectrum unchanged. The undamped large-scale modes can distinguish the parameters, but there are few of them and cosmic variance gives fractional full-sky uncertainty per multipole. This explains the primordial-amplitude–optical-depth degeneracy. Polarization from reionization, lensing, and more complete late-time effects partly break it. The TeX's final is a transcription mismatch; the PDF uses consistently.
Take in the injection direction and along the flat interface. The specified must be a Darcy velocity, so the pore-fluid velocity and unperturbed interface speed are . Write the perturbed interface as , with , and choose the normal from fluid 1 into fluid 2. The background pressure gradients from Darcy law are .
By incompressibility and uniform permeability of a porous medium, pressure perturbations are harmonic functions. A transverse Fourier mode with positive wavenumber has the decaying forms
The kinematic boundary condition and equal normal Darcy flux imply
Without capillarity the pressure is continuous at the displaced interface. Its linear perturbation is therefore
Consequently the planar viscous-fingering dispersion relation reduces to
This is the Saffman–Taylor instability: less viscous fluid advances preferentially through protrusions. Without a short-wave regularizing mechanism the idealized rate has no finite maximum.
For the prescribed apparent capillary pressure, the chosen normal is , so . Subtract the flat-front pressure jump . Linearization of the jump at gives
There is no first-order product of the surface-tension perturbation and the perturbed macroscopic curvature. Thus
Using the capillary number convention and , this is
If is measured from the unperturbed front and denotes its local apparent tension, set to obtain the usual fixed-coefficient expression. For a physically fixed spatial gradient, and the displayed rate is an instantaneous, generally time-dependent growth rate; the amplitude solves , rather than one constant exponential law for the entire displacement. The parameter has dimensions of inverse length; the absolute tension gradient is .
Assume , as required for positive apparent surface tension, and define . If , unstable modes satisfy . Differentiating the cubic dispersion relation gives the fastest-growing mode
When , every nonzero mode decays, with a neutral zero-wavenumber translation in the infinite-domain limit. For , surface-tension-gradient stabilization of viscous fingering suppresses the instability entirely at positive injection speeds satisfying
If , no positive injection speed eliminates every long-wave unstable mode in an unbounded interface. The prescribed wetting variation is treated as an effective normal pressure law for porous-media flow.
Either essay option suffices; both are developed here to make the two mathematical constructions available.
Diffusion for images. Model grey level as , initially , and use a Neumann boundary condition to avoid flux across an image boundary. The linear heat equation smooths the data. On its solution is convolution with the heat kernel, . Equivalently each Fourier mode is multiplied by , suppressing high frequencies and noise. With no flux, the mean is conserved and
The drawback is that sharp edges also contain high frequencies: a step becomes a transition of width comparable to . Running the heat equation backwards attempts sharpening but amplifies modes by and is ill-posed.
The Perona-Malik equation instead uses a decreasing diffusivity,
Small gradients are smoothed strongly and large ones less strongly. If and is a unit tangent to a level curve, then away from zero gradient,
The derivative of the flux, rather than just , controls forward parabolicity. Here becomes negative for : smoothing remains tangential but the normal direction can sharpen. This formal edge enhancement comes with forward-backward ill-posedness, so existence and stability of the unregularized continuum equation must not be presumed. One regularization uses as a smoothed edge detector while keeping the flux proportional to . For fixed positive , the coefficient is controlled by the smoothed data; under suitable bounds it stays positive and gives a regularized forward equation. It preserves edges through reduced cross-edge transport, without the same local backward-diffusion calculation.
Diffusion from a gradient energy connects these equations with variational regularization. If , its formal gradient flow is . Linear diffusion corresponds to . The displayed Perona-Malik equation corresponds to , which is nonconvex in the gradient for large . A convex alternative is total variation flow, with , interpreted through a subgradient at zero gradient. Adding squared data fidelity gives the formal evolution , whose equilibrium is the unique total variation denoising minimizer. Convex TV preserves sharp interfaces more effectively than the heat energy, but it may produce piecewise constant plateaux, known as staircasing in total variation denoising. A stopping time or fidelity weight controls the smoothing scale. Linear diffusion is stable but blurs edges; nonlinear diffusion must balance edge selectivity with parabolicity and regularization.
Wavelets on an interval. Simply restricting a whole-line orthonormal wavelet to destroys its orthogonality and generally its vanishing moments. Periodizing the basis restores orthogonality on the circle, but treats the two endpoints as neighbors. This is suitable for periodic data and can create an artificial endpoint jump for nonperiodic data.
A localized interval-adapted wavelet basis instead uses unchanged interior functions and finitely many special boundary wavelets at each endpoint. Start with a sufficiently regular compact support orthonormal Daubechies wavelet of order at least and choose a coarse level at which left and right boundary supports are disjoint. At each boundary, take appropriate finite combinations of the scaling functions that meet the endpoint, restricted to the interval. Choose these combinations to reproduce polynomials of degrees , remove dependencies, and orthonormalize the finite boundary Gram matrix. The choices must be compatible with refinement so that the resulting finite-dimensional spaces are nested; independent arbitrary orthonormalizations would not ensure this. Interior functions retain their whole-line filters, while the boundary functions use finite boundary refinement matrices.
For each level, choose an orthonormal basis of the orthogonal complement . It consists of interior wavelets and a bounded number of left and right boundary wavelets. Since the polynomial restrictions of degree less than belong to , every member of has vanishing moments. The compatible local boundary construction retains support diameter and the regularity of the interior construction. Boundary modification affects only finitely many functions at each level, so increasing resolution still makes the union dense in . Consequently, for a fixed coarse level ,
The coarse scaling functions together with all these wavelets form an orthonormal basis. This construction is the Cohen-Daubechies-Vial interval wavelet construction. It preserves localization, polynomial cancellation and stable coefficient extraction without imposing periodic or zero boundary data. The finite boundary refinement matrices also permit a fast transform; a mere restriction followed by one unrelated Gram-Schmidt process at each scale does not establish all these properties.