For unbiased one-dimensional diffusion, the mean squared displacement is . With , compare this to the mutant expression:
Therefore the mutant diffusion coefficient is
Take at chamber A and at chamber B. At steady state, the diffusion equation with constant positive diffusion coefficient gives
The two Dirichlet boundary conditions give and . Thus
The concentration gradient is constant, . By Fick's first law, the diffusive flux is , directed from A towards B. The profile is linear independently of , while the flux and the time needed to approach it depend on .
This result assumes no significant bulk flow, chemoattractant loss to the walls, degradation or cellular uptake. Experimentally, a uniform-concentration control with matched reservoir concentrations tests for directional cell migration caused by flow or apparatus asymmetry; reversing the reservoir concentrations tests whether the directional response follows the chemical gradient. Keeping both reservoirs well mixed and measuring the concentration profile checks the assumed boundary concentrations and whether uptake has distorted it. These controls distinguish the assumed passive diffusion field from other directional cues; the derived profile alone does not establish the mechanism of chemotaxis.
For a stationary film of uniform thickness, thermal conduction gives , so . The cooling boundary condition determines :
Consequently the surface temperature is
This is the quasistatic temperature of a conductively cooled film, with a weak-cooling expansion when .
Let the thickness and longitudinal scales be , with . Incompressibility gives transverse speed of order , and film evolution has the kinematic time scale . For the temperature variation scale , longitudinal diffusion divided by transverse diffusion is . Each advective term, and the time derivative on that evolution scale, divided by transverse diffusion is
Thus and make the leading thermal profile locally linear and quasistatic. Retaining the weak-cooling condition gives the same surface-temperature approximation with the local . For any independently imposed faster time variation one would also require its thermal relaxation ratio to be small.
Define the positive surface-tension gradient coefficient
The weak-cooling approximation gives , so the Marangoni stress is . The Young–Laplace equation gives the leading liquid pressure , with constant ambient pressure. In lubrication theory, and . The no-slip boundary condition at the wall and the tangential surface condition give
Hence the volume flux is
Conservation of mass gives the thermocapillary thin-film equation
The replacement of surface tension by in the capillary term needs . For comparable capillary and thermocapillary fluxes,
so the fractional tension change is only . Both the tension correction to and the differentiated-tension contribution are then higher-order. Weak cooling alone would not justify that replacement if were allowed to grow without bound.
The capillary term smooths the film: a crest has negative curvature and higher liquid pressure, causing flow away from it. The thermal term has the opposite effect. A thicker region has a colder surface and therefore higher surface tension; Marangoni stress pulls surface fluid toward that region, reinforcing the thickness disturbance. These mechanisms give fourth-order damping and second-order growth respectively.
Use , , and . The two dimensionless flux-divergence coefficients are and . Setting both equal to one gives the balanced scales for a thermocapillary film:
These choices yield . The predicted must be small for the assumed long-wave approximation.
Linearize about using a normal mode of amplitude . The resulting equation is , so the dispersion relation is
Modes with grow, while modes decay. Differentiating gives the most unstable wavenumbers
The physical fastest wavenumber is .
Figure 1.
Thermocapillary film growth rate showing the unstable band and fastest-growing wavenumber
. Details.
For a positive steady film with zero volume flux, . Divide by and integrate once:
Choosing the thickness scale so that when sets . Multiply by and integrate to obtain the zero-flux thermocapillary film profiles relation
Thus the stated potential is and the integration constant is the corresponding first integral.
Far downslope let the typical height be and the cross-slope half-width be . Slenderness gives and slowly varying longitudinal thickness. In a steady porous gravity current, the longitudinal spreading term is smaller than advection by the ratio , while longitudinal diffusion relative to transverse diffusion is of order . Thus the leading balance is
Integrating across the finite current, with zero flux through its dry side edges, makes the leading downslope volume flux constant:
Balancing the two differential terms gives
Eliminate to find the far-downslope width of a constant-flux porous current:
The typical height is correspondingly . For every , the width exponent is less than one half, so and , consistent with the discarded longitudinal terms. The porosity exponent drops out because it enters storage, which has zero time derivative in this steady problem.
Take and initially . Write , and set , . The advection-diffusion equation is . Integration by parts in the unbounded coordinate gives the longitudinal moment hierarchy for shear transport
All three moments obey Neumann boundary conditions at the walls. The initial values are , , . These manipulations require finite moments and vanishing boundary terms at ; diffusion of the compact initial distribution supplies the required decay for positive time.
The zeroth moment remains exactly . Since is a Neumann eigenfunction, put . Then and , giving
For the second moment, . Thus , with
The equation for has positive damping and bounded forcing, so remains bounded. In the equation for , the decaying term in contributes only a bounded accumulated transient. Over a complete nonzero-frequency cycle, and . Consequently
This proves oscillating shear dispersion in an insulating channel, including the local-in- leading term, not just a cross-channel average. The instantaneous derivative retains bounded periodic oscillations; its cycle-averaged slope is . Thus is the leading second moment, rather than a literal rate proportional to .
The asymptotic statement holds for fixed positive diffusivity and fixed nonzero frequency, after times long compared with and the oscillation period. If , transverse diffusion adjusts rapidly to the changing shear flow, and
This is the cycle average of the instantaneous steady-shear enhancement . At exactly , there is no cycle average: and . Hence the zero-frequency and long-time limits do not commute. In the intermediate range , the shear is approximately steady at its initial amplitude and that latter enhancement is appropriate.
Let , assumed finite. The displacement is . By stationarity, its two-time covariance is , with even for a real scalar process. Integrating over the two triangles of the square gives the Taylor turbulent dispersion identity
A sufficient condition for ordinary long-time variance growth is with . The dominated convergence theorem then gives
More generally the necessary asymptotic condition for a finite positive variance-based diffusion coefficient is convergence of to that coefficient. Absolute integrability is sufficient, not necessary. A zero integral does not give nondegenerate ordinary diffusion. Moreover a second-moment calculation alone does not establish a normal distribution or an entire diffusive scaling limit; those require additional probabilistic assumptions.
For the specified positive autocorrelation, direct integration gives, when ,
Thus the power-law velocity-correlation dispersion has the following regimes. If , the Lagrangian integral time is and ordinary variance growth holds, with . At the exact expression is . If ,
For ,
The last two regimes spread faster than ordinary diffusion and have no finite long-time diffusion coefficient. Their slowly decaying velocity memory is responsible. At short times all these correlations instead give the ballistic law .
Use a Poincaré map sampled once per forcing period. A hyperbolic periodic trajectory has stable manifolds containing parcels that approach it under forward iteration and unstable manifolds containing parcels that approach it under backward iteration. In the integrable limit the relevant branches coincide along a heteroclinic orbit and form a barrier between neighboring cells.
A transverse crossing in the perturbed map means that this barrier has split: a parcel on the intersection belongs to both asymptotic manifolds, and adjoining branches enclose fluid lobes transported across the former boundary. Iteration stretches and folds those lobes. In the connected heteroclinic network this creates complicated intercell transport and chaotic advection. The crossing is between invariant curves at the same forcing phase; it does not mean that different trajectories cross at one time in violation of uniqueness.
The incompressible flow gives an area-preserving map, so lobe exchange preserves parcel area. Without diffusion, an advected passive scalar also keeps its value on each trajectory. Therefore manifold intersections can generate fine filaments and efficient advective exchange but do not by themselves produce molecular homogenization, nor prove that every region of the flow becomes chaotic.
On , the unperturbed trajectory satisfies . Put . Integration with gives
It runs from to , so it is the appropriate heteroclinic orbit. From the perturbed stream function,
On the chosen connection, ; hence the scalar product in the heteroclinic Melnikov function for a periodic planar flow is . Therefore
Set . The odd term integrates to zero, leaving the supplied even Fourier integral multiplied by . Thus
For every fixed the amplitude is nonzero and the phase zeros are simple: there is . At fixed phase, varying also gives simple zeros because is nonzero for . The Melnikov splitting of a periodically perturbed cellular flow therefore produces transverse manifold intersections at sufficiently small perturbation and fluid-lobe exchange between adjacent cells. The unperturbed separatrix is no longer a material transport barrier.
At high frequency the leading splitting amplitude is asymptotic to , so fast forcing has an exponentially weak first-order effect on this connection. This is a fixed-frequency, small- result; an exponentially small leading term need not dominate higher orders in a simultaneous high-frequency limit. At exactly the perturbation itself vanishes and , so the nonzero-frequency conclusion does not apply. Manifold splitting demonstrates intercell chaotic advection locally, not a proof of uniform mixing or ordinary diffusion throughout the entire domain.
A density deficit in a flux tube is not by itself an instability calculation. For example, a straight magnetized tube in otherwise field-free gas at the same temperature has lateral balance . The perfect gas law then gives , so the tube rises unless some other force balances its weight deficit. This configuration simply lacks magnetostatic equilibrium. A magnetic buoyancy instability, in contrast, starts from a force-balanced atmosphere and asks whether a small allowed displacement grows. A balanced horizontal magnetic layer can be stable or unstable; the presence of magnetic pressure alone does not decide this.
Assume a smooth equilibrium, with downward gravitational acceleration , and write for the gas constant per unit mass. The ambient total pressure and force balance are
We use ideal magnetic flux freezing on the displacement time scale and rapid lateral pressure equilibration. A bodily displacement perpendicular to a straight horizontal tube does not change its length or bend its field. If its area is , conservation of magnetic flux and mass per unit length gives and . Thus the tube preserves
Efficient heat exchange fixes its temperature to the ambient temperature at its new height, not to its original temperature. This is the thermal assumption that distinguishes the requested criterion from the adiabatic one.
Take a tube initially at and let . After a small upward displacement , let be the density it would have in lateral balance at . Its preserved and imposed local temperature give
At the initial position . Differentiate this relation at :
For the ambient atmosphere the same differentiation must also differentiate . It gives
Subtracting isolates the actual displaced density contrast:
The pressure-gradient force on the tube balances the weight of the displaced ambient gas, so its leading vertical buoyancy acceleration is
The coefficient multiplying is positive precisely when the tube becomes lighter on upward displacement. Thus the isothermal interchange criterion for magnetic buoyancy is
Where , this is simply , or . The squared form is independent of the field's choice of direction. Equality is neutral at this order, and the reversed inequality is restoring for these displacements. A layer with an interval satisfying the strict inequality admits local growing interchange disturbances under the assumed pressure/thermal equilibration. The calculation does not address field-bending undular modes, finite heat-transfer times or magnetic diffusion; those can change the criterion. In particular, the localized interchange criterion for a magnetized atmosphere with an adiabatic gas response is not interchangeable with this fast-thermal-exchange result.
Magnetic flux concentration and flux expulsion describe redistribution of an existing field, not necessarily creation of net flux. For a weak field in a prescribed conducting flow, the resistive induction equation is
Its ideal part combines transport, stretching and compression:
Thus a converging flow can intensify a component, and stretching can increase magnetic energy even if the signed net flux is zero. At large magnetic Reynolds number , diffusion is initially slow on the eddy scale, so magnetic flux freezing carries field lines with the flow. These statements do not imply that an ideal closed eddy can simply lose its initially enclosed flux.
The missing step is the production of small scales by differential circulation. In a two-dimensional incompressible eddy, the Cartesian magnetic flux function obeys
Different streamlines have different circulation rates. An initially smooth field is wound into fine folds; diffusion and reconnection then smooth the variation of inside the eddy. As becomes nearly uniform there, its gradient and hence the interior magnetic field become small. The surviving flux lies mainly near the circulation boundary and adjacent separatrices, where stronger gradients remain. This is flux expulsion. With exactly zero diffusivity, field topology and the flux of material loops remain frozen, so a relaxed flux-free interior is not obtained by pure advection alone. Rigid rotation also fails to generate the differential winding responsible for this process.
The phase mixing in magnetic flux expulsion estimate makes the enhanced role of small diffusion explicit. If the angular-velocity gradient is of order , a wound radial wavenumber grows as . The accumulated damping exponent is of order
It becomes order one at
This is much shorter than the large-scale diffusion time at large , but longer than one turnover time. It is a kinematic differential-shear estimate, not a universal time for every turbulent or rapidly evolving convection cell.
A related concentration mechanism occurs at converging flow boundaries. For a locally vertical bundle, conservation of flux gives , so reducing its cross-section increases . In a simple converging boundary region with strain rate , balancing strain and transverse diffusion gives
This is the thickness estimate for that local strain-diffusion model; it need not be the thickness or energy scaling of every closed-eddy flux-expulsion problem. Stronger field eventually exerts Lorentz force feedback and changes the flow. The equipartition magnetic field is a useful indication that the kinematic assumption can fail, not a universal upper bound on concentrated fields.
At the Sun's photosphere, hot upflows form solar granules, and their spreading horizontal motion transports weak vertical field toward cooler intergranular lanes and downflows. A thin-layer illustration, neglecting vertical transport terms, is . It gives : horizontal convergence intensifies the vertical flux density. This surface transport is related to the redistribution by convective eddies, but is not identical to the closed-streamline mechanism in the preceding planar example. Larger-scale supergranulation also gathers magnetic elements toward its boundaries, helping organize the solar magnetic network.
Concentration can be further intensified by compressible thermal dynamics. In the thin-tube picture of convective collapse, an unstable downward flow drains gas, reduces internal pressure and allows contraction at approximately conserved flux. Lateral balance then permits field stronger than the local kinetic equipartition estimate. This evacuation mechanism is excluded by a strict Boussinesq approximation. It is not a description of every evolving surface concentration: gas pressure, dynamic stresses and magnetic curvature can all matter when thin-tube equilibrium fails. The resulting strong, intermittent magnetic elements are associated with intergranular structure; their radiative appearance also depends on thermal structure and opacity. The organized fields of sunspots require a broader account of flux supply and magnetic feedback, rather than attribution to weak-field expulsion alone.
Thus convection redistributes and concentrates flux, finite diffusion enables classical expulsion, and nonlinear magnetic and thermal feedback determines the strong-field outcome. An expulsion argument alone neither supplies the original solar field nor establishes a self-sustaining solar dynamo.
The vertical hydrostatic equilibrium equation balances the gradient of the total pressure against gravity. In a thin disk with Keplerian rotation, expanding the central gravitational field about the midplane gives vertical acceleration , so . Disk self-gravity is neglected in this approximation.
The flux-gradient equation is local thermal balance: the upward radiative flux increases with height because differential rotation dissipates energy. For a Newtonian effective dynamic viscosity , the volumetric heating rate is , which becomes for Keplerian rotation. The symbol here is dynamic viscosity, not kinematic viscosity; the latter is .
The radiative diffusion equation applies to an optically thick medium in local thermodynamic equilibrium. Its diffusion coefficient is , and the equilibrium radiation energy density is . Hence
The minus sign means energy flows down the temperature gradient. Here is the Stefan-Boltzmann constant, the opacity per unit mass, and the speed of light. Constant Thomson scattering opacity is the adopted transport approximation; local thermodynamic equilibrium is an additional assumption behind the radiation equation of state.
Finally the equation of state adds ideal gas gas pressure and isotropic radiation pressure . The Boltzmann constant is , and is the mean mass per gas particle. Both contributions supply the total pressure entering vertical hydrostatic equilibrium.
Choose a reference circular orbit at radius , rotate the frame with , and introduce local Cartesian coordinates , and vertical coordinate . On scales small compared with , neglect curvature of the coordinate directions but retain the leading differential rotation. The background velocity relative to the rotating frame is
Thus for a Keplerian disk. The shearing sheet retains Coriolis acceleration and the linear tidal acceleration. The radial shearing-sheet tidal potential is , whose force balances the background Coriolis acceleration. If vertical tidal gravity is included, its equilibrium contribution is balanced by a background pressure and disappears when that equilibrium is subtracted.
Write the total velocity as . In the rotating-frame magnetohydrodynamic momentum equation, background advection is and advection of the background by the perturbation is . The uniform-viscosity diffusion of the linear background shear is zero. For a solenoidal magnetic field the Lorentz force per unit mass is
At constant density, absorb the magnetic-pressure gradient into . Subtracting the background force balance then gives the stated momentum equation, with the remaining nonlinear advection , Coriolis acceleration , magnetic tension and viscous diffusion.
For constant finite electrical conductivity , put . The resistive induction equation with uniform magnetic diffusivity is . Substituting the background shear supplies the term and the same background-advection operator as in the momentum equation. The two further conditions are
They express incompressibility and the absence of magnetic monopoles, respectively.
Now take real plane waves with common phase and real wavevector. The solenoidal conditions become
Every field depends on position only through . Hence for either transverse vector field and either wave field , . This proves that all the displayed quadratic advection and tension terms vanish pointwise, including products involving conjugate amplitudes. These waves are therefore exact solutions at finite amplitude, not merely a linearization.
Acting with on the phase yields
Canceling its position-dependent part requires
The remaining amplitude equations are
Differentiating the velocity constraint determines the pressure amplitude:
The resistive induction equation preserves its constraint because cancels the corresponding shear term in . The specified magnetic field has no spatially uniform part. Thus there is no background magnetic field producing an additional linear magnetic-tension coupling. The scalar is the modified pressure; the physical pressure can include a constant and a second spatial harmonic from while retains the stipulated plane-wave form. This is an exact zero-mean magnetic shearing wave.
For decay, take the real part of the scalar product of the velocity-amplitude equation with its complex conjugate. Pressure does no work because , and the real part of Coriolis work is zero. Therefore
The resistive induction equation similarly gives
using . Integrating these differential inequalities, define
Then
A non-axisymmetric wave has . For nonzero differential shear and positive , the negative cubic terms dominate the linear upper bound on shear work. Consequently
This cubic-exponent decay of a nonaxisymmetric shearing wave allows transient energy growth before the winding to short radial wavelengths makes diffusion dominant. The magnetic amplitudes can also be written explicitly as
which confirms the damping independently. Positivity of the dissipative coefficients is necessary: with , an inviscid vertical velocity amplitude can remain constant, and an ideal vertical magnetic amplitude can remain constant when . The asserted decay applies to the viscous, finitely conducting model; taking an ideal limit before the long-time limit changes the conclusion.
Put , with and . The relevant homogenization of a periodic advection-diffusion equation limit is a long horizontal wavelength observed on its diffusive time scale. Introduce and , retaining the fast variables . Since the velocity field is independent of , no fast horizontal cell variable is needed. Write the multiple-scale expansion
The cell functions are periodic in and in the period of . The kernel of on this periodic cell consists of constants: multiplying by and integrating over the cell gives , after which . Thus the leading concentration really is independent of the fast variables. At first order,
There is a unique periodic : differences of two solutions are proportional to , and the periodicity condition fixes the integration constant. Equivalently,
At second order the advection-diffusion equation gives
Integration over the fast cell annihilates the left side. Since the spatial average of is , its solvability condition is
For the second equality, multiply by and average over a period: . In particular the enhancement of diffusivity is nonnegative. Once this solvability condition holds, the remaining zero-mean forcing admits a periodic cell solution: its nonconstant spatial Fourier modes are damped by , while its spatially constant mode has a periodic antiderivative because its temporal average is zero. This also explains the relaxation of initial transverse inhomogeneity. The first corrector has zero spatial mean, so .
This derivation describes the large-scale, long-time limit, after times comparable to the period and to . It does not give an exact closed equation for the spatial average of arbitrary finite-time data: that average contains a correlation between the velocity field and concentration. In physical coordinates the leading long-wavelength concentration therefore obeys asymptotically. The cell expansion, its bounded periodic correctors, and the decay of transverse cell transients justify this effective diffusivity of a periodic sinusoidal shear.
For constant , the periodic cell solution is . Consequently
This is Taylor dispersion: molecular diffusion moves particles between different horizontal velocities and turns their accumulated horizontal displacement into large-scale diffusion.
For the impulsive flow, jumps by at each kick and decays exponentially between kicks. If denotes its value just after a kick, periodicity requires . Thus, within one period,
Using the mean-square expression, which has no ambiguous product of a Dirac delta with a discontinuous function, gives
The impulsive model can also be obtained by shrinking smooth pulses of fixed integrated strength. The passive scalar undergoes the exact horizontal shear map at a kick, while the transverse coordinate is unchanged. The cell solution above is the corresponding limit of the smooth cell solutions. Using a one-sided value in instead would miss the contribution from the jump of .
For ,
Transverse Brownian motion substantially decorrelates the shear phase between successive kicks. A uniformly distributed phase has horizontal displacement variance per kick, producing an extra diffusivity .
For ,
Many kicks occur before transverse diffusion changes a particle's shear phase. Their leading effect is therefore the steady shear with mean velocity amplitude , whose Taylor dispersion coefficient is precisely . The divergence as describes a very long decorrelation time; it does not imply infinite finite-time spreading. At the phase never changes and, for a uniform phase, kicks give variance . The spreading is then ballistic transport, rather than diffusion. The long-time diffusive limit must precede the zero-diffusivity limit, with .
A large molecular Schmidt number separates the velocity's smallest smooth length scale from the scalar's smaller diffusive length scale. Follow a Lagrangian trajectory and measure displacement from it. Within a sufficiently small scalar packet, Taylor expansion of the smooth velocity field gives
The moving frame removes uniform sweeping, leaving a linear random velocity gradient tensor. Thus the local scalar equation is the advection-diffusion equation with velocity , and averaging over realizations of gives the corresponding ensemble average. The approximation requires the packet to lie within the velocity's locally smooth region. Its thin, diffusive direction can satisfy this condition even when its long direction eventually becomes too large for one global linearization; applications to a spatially varying flow then use local packet descriptions. The statistical conclusions below refer to the linear-flow model and the usual mixing assumptions, not to every conceivable trace-free random matrix process.
Write and assume sufficiently rapid decay to discard boundary terms. Integration by parts gives
For , integrate the advective term once and the diffusive term twice. Since and , one obtains
These are mass conservation and the evolution of the unnormalized second moment tensor. The first moment obeys , so a centered packet stays centered.
For a positive Gaussian scalar packet in a linear incompressible flow, must be a positive-definite matrix. Diagonalizing its symmetric matrix and applying the Gaussian integral gives
The factor in the last identity matters because has not been divided by the scalar mass. Substitution into the advection-diffusion equation also gives
These identities agree with the second moment equation and prove that the Gaussian family is preserved. For an initially negative packet the same analysis applies after replacing by and taking its positive mass.
To see the roles of stretching and diffusion explicitly, let the deformation gradient solve , . Incompressibility gives . Differentiating integrates the moment equation:
Without diffusion, and is constant. In a statistically stationary, mixing flow with positive Lyapunov exponent , the two stretching exponents are and . Writing the ordered eigenvalues of as , their typical initially nondiffusive evolution is
The fluctuation scale presumes the usual central limit theorem for accumulated strain; it is not implied by incompressibility alone. During this stage the packet becomes long and thin but keeps its area and peak concentration.
In the instantaneous principal-axis basis, write for the rotated velocity gradient tensor. Differentiation of an eigenvalue gives
The formulas hold through a repeated eigenvalue by continuity of their sum. The compressed physical variance is . Its contraction is arrested when it is of order , the square of the Batchelor scalar microscale . If its initial length is , the crossover occurs at
Thereafter has stationary fluctuations associated with the strain and the diffusive floor, while continues to grow typically at rate . Under sufficiently fast mixing, the central part of the distribution of is approximately Gaussian with mean and variance for a strain-dependent coefficient . This central approximation does not determine far tails, which control high concentration moments; those require a full large deviation principle. The two logarithmic widths need not be independent. The area now increases and decreases typically as . This is diffusion arrest of Gaussian packet compression.
For example, a constant principal strain gives the exact physical variances
The thin variance approaches its diffusive floor, the long variance grows exponentially, and the mass-to-area relation gives the quoted typical amplitude decay. A random strain additionally makes rare histories important for concentration moments.
For a precise statistical formulation define the logarithmic area increase
The Gaussian identities give the exact relation ; hence
Assume the long-time strain statistics give a large deviation principle for on , with convex good rate function , . At exponential accuracy the probability of near is . Combining that cost with the amplitude factor and applying the Laplace principle for probability measures gives the large-deviation decay rates of a Gaussian scalar packet
The initial amplitude only changes a time-independent prefactor. One can see the minimization directly by dividing the possible area-growth rates into small intervals: each contributes its probability cost times , and the interval with least total exponential cost dominates. An interval around a minimizing gives the matching lower bound. The nonnegative area increase bounds the exponential weight by one, so unusually large positive growth cannot produce a divergent weighted tail. Using the area rather than only also avoids discarding possibly important fluctuations of the compressed direction.
Suppose is strictly convex and differentiable, with its minimum at and finite negative right derivative at zero. Define
For the minimizing rate is positive and uniquely solves
For , convexity puts the minimum at the endpoint , giving
High moments are dominated by rare histories with little net area growth, in which a packet keeps a substantial concentration. Their probability cost is , independent of the moment order. A finite threshold is conditional: if , the minimizer can approach zero without reaching it at any finite .
Below the threshold, differentiation of the minimizing expression cancels the terms involving because . Thus , and
Strict negativity uses a nondegenerate rate function with a unique zero at : for positive , and . For deterministic strain the ratio can instead be constant. Near the typical rate, if with , then for small . If this quadratic expression holds all the way to zero, it gives the illustrative full result
The quadratic form is an example, not a universal law of turbulent strain.
A thin scalar packet is stretched until molecular diffusion broadens its compressed direction; conservation of its scalar mass then converts area growth into dilution. Ensemble averages sample different stretching histories, producing different decay rates for different moments and saturation when weakly stretched histories dominate. The present moment calculation is specifically for the centered Gaussian packet and averaging over the flow; signed random initial fields with overlapping packets can also have cancellations and require their initial-field statistics.
Finally, positive exponential decay is a statistical conclusion requiring the strain assumptions above, not a consequence of the local differential equation by itself. For and initially isotropic physical variance , the exact solution has and . Its moments decay algebraically as . Thus the general equations for the exponential rates are the rate-function minimization above; numerical rates and a finite saturation threshold require the long-time statistics of the flow.
Take . Integrating the velocity solution gives
The initial/noise cross term vanishes under the independence assumption. Evaluating the remaining integral yields the general integrated Ornstein-Uhlenbeck displacement
Use the thermal initial velocity and the fluctuation-dissipation relation for a Langevin particle. With diffusion coefficient , this simplifies to
For , expansion gives : displacement is initially , so the particle is ballistic. For , , hence the leading behavior is one-dimensional diffusion with .
The ballistic conclusion depends on the initial state. For a particle prepared exactly at rest, , the first expression gives at very short times. A thermal initial velocity, or a nonzero initial velocity variance, is required for the stated mean-square law. It should not be replaced silently by a zero-velocity initial condition.
Write for the effective unloaded addition rate and for the removal rate of the same elementary tip step . If the supplied on-rate is a bimolecular rate constant, then , with monomer concentration ; if it already denotes an event rate, use . Assume gap diffusion is much faster than chemical events, removal is force-independent, and the monomer bath is maintained.
Under a positive constant resisting force, the load equilibrates in the potential above a reflecting tip. The normalized Boltzmann distribution is for , where . The fraction of time with room to insert is
Steric gating reduces addition to ; each addition advances by and each removal retreats by . The reaction-limited polymerization Brownian ratchet therefore has
For , the stall force is . Equivalently, the available chemical free energy per effective step is , and stall balances . A half-monomer step requires rates defined for that half-step, not automatically single-strand monomer rates with a gratuitous factor of two.
At exactly zero force a load on an unbounded half-line has no normalizable equilibrium gap density. The unloaded expression is the limit, or the usual freely available-gap approximation with a weak positional confinement. For a positive load the equilibration time must remain short compared with reaction times. Load inertia, filament bending, monomer depletion, and force-dependent bond rupture have been excluded. For arbitrary finite reaction and diffusion rates one must solve the joint gap dynamics rather than attach to the diffusion-limited first-passage formula: a removal changes the gap and the distribution from which the next addition starts.
Use the Burgers reduction of weakly nonlinear rightgoing acoustics, with , , and . The equation of state expands as
At order one, mass conservation and momentum conservation give and . For the pure rightgoing acoustic wave with no independent leading mean density or velocity shift, . This is the background choice implicit in the requested traveling-wave expansion; additional mean components would modify its phase convention. The source's duplicated phrase about expanding should refer to expanding as well as .
At order , the mass conservation equation becomes
whereas the momentum conservation equation becomes
In the latter equation, the two nonlinear products and cancel. Substitute the equation of state relation into the former equation and add the two equations to eliminate the first corrections. The result is
The same calculation gives , so the first corrections may be chosen without an explicit secular factor of . This is why the retarded-time description can remain uniform for , provided the leading profile and its relevant derivatives remain bounded over that range and the slow propagation interval.
This Inviscid Burgers equation can develop a shock, so the source's uniformity assertion needs a pre-shock qualification. If and , its method of characteristics gives
The smooth construction ends when this denominator vanishes; if , the first such distance is .
For viscosity write with bounded positive . Since , the order- momentum conservation equation instead reads . Addition now yields the viscous Burgers equation
Its positive diffusion resolves the inviscid steepening rather than supporting an unqualified smooth inviscid expansion through shock formation.
Write and . A well-posed anisotropic diffusion problem requires to be symmetric positive definite: and . For the normal mode in the source the dispersion relation is
The group velocity vanishes when . Consequently
The requested anisotropic absolute-instability threshold for positive diffusion is
For positive definite diffusion this is also sufficient: the anisotropic Gaussian heat kernel has exponential factor and a prefactor, so its fixed-position growth rate is precisely .
Let the prescribed speed be and let be the positive eigenvalues of . The Rayleigh quotient for gives
Absence of absolute hydrodynamic instability for every direction therefore requires
This is an upper bound on , not a minimum required value. The source's last sentence reverses this monotonicity: reducing the growth parameter always helps, so there is no finite lower threshold guaranteeing absence. If it had asked for instability in every direction, the corresponding condition would be . Without the positive-definite assumption, negative diffusion directions make the forward problem ill posed; a singular diffusion tensor requires a separate transport analysis and does not support the displayed inverse-matrix formula.
Assume again positive diffusion . Remove the drift with . Differentiating explicitly cancels the first derivative and gives
Balance the second derivative with the linear confinement by taking , so the requested exponent is . More precisely, put
The eigenvalue problem reduces to . Its two solutions are Airy functions. The growing is excluded by the condition at infinity: its growth proportional to dominates any linear-in- drift factor. The decaying remains admissible even after multiplication by . The wall imposes , so , giving the Airy global modes of a linearly confined Ginzburg-Landau equation:
The least negative zero, , gives the largest temporal growth rate. Hence
At equality the leading global eigenmode is neutral, and below it all these eigenmodes decay. In contrast, freezing the coefficients locally gives absolute hydrodynamic instability wherever . Such a pocket exists iff and extends to . Thus global instability implies a locally absolutely unstable pocket, while the converse fails: a pocket shorter than does not overcome the wall and confinement losses. The additional threshold is order , precisely the loss produced by the Airy function spatial scale.
The cell conservation equation equates the change of cell number density to minus the divergence of its total flux. The flux is advection by the water, is the mean swimming flux, and is the dispersal flux. The tensor describes effective translational diffusion, whereas in part (i) describes rotational diffusion; they have different dimensions. This conservation law neglects birth, death and sources at the walls.
The equation expresses incompressible flow. In the momentum equation, is the reference suspension density, is material acceleration times density, is the pressure force after subtracting the pure-water hydrostatic pressure, and is the viscous force for constant dynamic viscosity in a Newtonian fluid. Since counts cells per volume, in is excess downward weight per cell; it is not an acceleration. The small cell-fluid density difference permits the Boussinesq approximation: retain that difference in buoyancy while using constant elsewhere. Diluteness permits neglect of cell-cell interactions, changes of viscosity, and active cell stresses. Any separate settling speed is assumed negligible or already incorporated in the specified mean drift. The light strength and swimming speed are uniform.
Consider the intended long-channel bulk approximation. At the sidewalls impose zero normal cell flux and the no-slip boundary condition. The closed ends require zero total fluid flux through each horizontal section, so ; localized turning regions are omitted from the bulk equations. The mean concentration is . The final paragraph below distinguishes these bulk conditions from exact closed-end cell conservation.
For , the vorticity is . Hence , and the leading horizontal mean swimming direction is . With and , steady cell conservation equation says that is constant. Its wall value is zero, so with . The phototactic concentration in a vertical channel is therefore
This result neglects the correction to horizontal swimming. For positive phototaxis, and cells accumulate towards the illuminated wall .
The steady inertial terms vanish for , since . The horizontal momentum equation gives . The vertical momentum equation then requires a constant excess pressure gradient and gives . Twice integrating produces
Set . The two no-slip boundary conditions give and . The zero fluid-flux condition follows by integrating this expression:
Consequently the remaining constants are
The resulting velocity can also be written without separate polynomial constants as
Here is the zero-flux pressure gradient in a cell-driven channel. It is negative for : pressure decreases upwards, creating the upward pressure force that balances the excess cell weight and drives the return flow. Its magnitude is determined by zero net fluid transport, not by prescribing pressure independently. In the zero-light limit, the continuous result is , and .
For the requested large- sketch, cells occupy a boundary layer of thickness near . Put and . The exact dimensionless profile above is
Away from the illuminated-wall layer it tends to . There is broad upward return flow for and downward flow on the illuminated side. The outer maximum is at . Near , the exponential term is approximately and restores the no-slip boundary condition from the negative outer velocity to zero at the wall. The finite- profile shown below retains that layer. The small-vorticity assumption must still be enforced, for example by sufficiently weak excess weight or a sufficiently dilute suspension; alone does not ensure .
Figure 1.
Downward flow near the illuminated wall and upward return flow in a phototactic channel
. Details.
There is a genuine global qualification to the bulk construction. For an exactly steady channel with impermeable ends as well as impermeable sidewalls, the closed-channel cell-flux constraint also requires at every height. In this bulk ansatz the first-order orientation closure gives
since integration by parts, and imply . Moreover, multiply by and integrate. The wall values and zero fluid flux give
for a nontrivial profile. Thus zero axial cell flux generally fails unless the extra factor vanishes, or the flow is trivial. A complete steady closed-channel solution generically needs axial concentration variation. The explicit profile solves the stated bulk equations, sidewall conditions, concentration normalization and zero fluid-flux condition; it is not, for arbitrary parameters, an exact globally closed steady cell distribution. Ignoring end regions gives the intended bulk approximation, but does not by itself prove the stronger global existence claim.