Take the current to be dilute, vertically well mixed and Boussinesq approximation, with constant channel width , a horizontal absorbing bed, negligible ambient fluid entrainment, negligible bed friction, and no resuspension. The shallow-water approximation neglects vertical inertia and gives hydrostatic pressure. Particle loss alters reduced gravity but does not alter the leading-order carrier-fluid volume or inertia; otherwise additional mass and momentum terms would be necessary. The current occupies depth , has depth-uniform speed , and has particle volume fraction , with and constant .
Volume conservation of a short channel segment gives . Its suspended particle amount per unit bed area is , and the downward particle deposition flux is . Thus , which becomes on multiplying by .
At vertical coordinate above the bed, excess hydrostatic pressure divided by reference mass density is . Integrating across the depth gives the depth-integrated force flux . The horizontal momentum per unit bed area is and the advected kinematic momentum flux is . The resulting variable-buoyancy shallow water equations are
The derivative of the pressure term acts on both and ; treating reduced gravity as horizontally constant while particles settle would lose part of the force.
For a steady interior, let denote volume flux per unit width. Then the particle balance is a first-order linear differential equation,
Here , is constant, and deposited particles are not returned to the current. In particular the decay length is for , and the cancellation of depth follows from : dilution and transit time compensate in the deposition balance.
The steady momentum equation also gives
The inlet depth selects . Depth and speed at every downstream position are determined by the continuous positive root of a polynomial in
This implicit expression also makes clear why the inlet condition is needed: there are generally two possible positive depths.
The depth branches of a steady depositing gravity current are distinguished by the Froude number . Differentiating the momentum invariant, and using the exponential decay of reduced gravity, gives
For , supercritical flow has and decreasing depth, with and as . Subcritical flow has and increasing depth, with . This indefinitely deepening branch eventually violates the assumed shallow or confined-channel geometry. Hence the depth does not universally decrease: that conclusion needs a supercritical inlet.
For fixed , has its unique minimum at , with . The two positive roots when lie below and above . Since decreases downstream while is constant, an initially strict branch remains separate from the other branch and cannot cross a critical point. A critical inlet with has no finite depth derivative: at the first differentiated equation would equate zero to a positive value. It requires a singular entrance adjustment or physics beyond this steady model. If , both reduced gravity and the continuous depth branch are constant. These steady solutions describe the supplied current interior, not a moving finite-release front.
For two particle populations, write and , allowing different constant particle-density conversion factors. The bidisperse particle-laden gravity current equations are
For the steady case,
Thus the depth is obtained from the same cubic polynomial invariant with the sum of the two exponentially decreasing reduced gravity contributions.
The local deposit consists of the two particle deposition fluxes and . For a positive total deposition rate, the bidisperse gravity-current deposition fraction by particle volume is
If the particles have a common material density, this is also their local mass fraction. If they have common , it can be written in the source's buoyancy notation as
For unequal replace each by . The exponent sign matters: with both populations present and , the faster-settling population has decreasing local deposit fraction downstream, since . Equal positive settling speeds give a constant fraction. A nonsettling population contributes no deposit; if the entire local deposition rate is zero the deposit fraction is undefined.
If “fraction of particles” means number fraction rather than particle-volume or mass fraction, let be a single particle's volume in population . The correct weights are then , so
Settling speeds alone do not determine without particle properties and a drag law. Finally, if the intended deposit is cumulative over the bed from to , rather than local at , integrating particle deposition flux gives the species volumes per unit channel width . The cumulative particle-volume fraction is
For both , its limit at infinity is the incoming particle-volume fraction, whereas its limit as is the local deposition fraction at the inlet. Local sorting and the cumulative inventory are different observables.
For , the Heaviside step function contributes a constant unit forcing. Solving the resulting first-order linear differential equation from the value at gives
For , the slow-roll approximation gives
Taking the expanding branch and using gives the first-order linear differential equation
Thus the quartic-potential slow-roll solution with the normalization used in this question is
If , the field remains negative and , so it rolls toward the potential minimum at zero.
Invert the equation and regard as a function of :
This is a first-order linear differential equation. Multiplication by the integrating factor gives
so . The initial condition at gives . Hence and
Three distinguished limits are needed.
In the origin layer, put and . Since , the leading equation is
It has the first integral
Solving this first-order linear differential equation gives
Regularity at requires , and then fixes . Thus Region I, , has
Its matching limit is as .
In Region II, with , setting reduces the second-order equation to
Hence . Matching with the inner limit fixes , so
The correction generated by changes the local decay rate when . For Region III set
The terms of order give the eikonal equation
and the next balance gives . Matching to Region II selects
Therefore
This solution is already beyond all algebraic orders in in the distant region. A leading multiplicative composite expansion that contains all three balances and satisfies the boundary value exactly is
with its value at understood by continuity.
Finally, the coefficient of vanishes at the origin. Taking the regular limit of the original equation there gives
so the prescribed value also fixes . Equivalently, the second inner solution behaves as and is excluded by regularity. This regular singular point is why one boundary condition determines the unique regular solution.
On an interval excluding , an integrating factor for this first-order linear differential equation is . Multiplying through gives
An antiderivative then gives , so
The constant is arbitrary on each connected interval of the domain; the original differential equation is undefined at zero.
The dependent variable itself does not occur, so reduce order by putting . Then , a first-order linear differential equation. Its integrating factor is :
Integrating once more and renaming the constants gives
The two homogeneous terms are the constant solution and the exponential associated with the roots of the characteristic equation.
Because the original differential equation divides by , its domain requires and . Set , so . The equation becomes the first-order linear differential equation
An integrating factor is , since . Thus
Returning to gives the explicit general real solutions
Each sign is fixed on a connected interval where and the radicand is strictly positive. The strict condition excludes , where the original differential equation is undefined. There is no additional zero solution.
First suppose . Differentiation under the integral sign, justified on compact positive parameter intervals by an integrable bound, gives
The first integral is . For , use the partial fraction decomposition
The standard inverse tangent antiderivatives then give
The same value holds at by continuity, or by direct integration. Hence the proposed first-order linear differential equation is valid on the positive parameter range:
Divide by to recognise a quotient rule derivative:
To fix , the value alone is insufficient, since every displayed solution tends to zero there. Instead consider
This limit follows from the dominated convergence theorem: for and , the logarithm's absolute value is bounded by ; for , it is at most . After division by , these are integrable. The limiting improper integral is absolutely convergent, and the substitution rule changes it into its own negative. Its value is therefore zero, giving . Thus
The question calls a real parameter, but this last formula and the proposed differential equation do not hold on the entire real axis. The defining integral is odd in , because its logarithm depends on . Applying the positive-parameter result to therefore gives the correct extension
with . In particular, for , the right-hand side of the differential equation must be ; for every the unified expression is . The logarithmic quadratic parameter integral therefore provides the requested identity on its valid range and the corrected answer elsewhere.
For this first-order linear differential equation, an integrating factor on an interval avoiding zeros of is . The product rule then gives
The initial condition gives , hence . Thus
The displayed interval is the maximal one containing the specified initial point, since the coefficient is undefined at its endpoints.
Write . For , differentiation under the integral sign gives
Indeed, on any compact parameter interval with , the differentiated integrand is bounded by the integrable function . The dominated convergence theorem therefore justifies the operation despite the improper lower endpoint. The apparent singularity at is removable.
Since , the chain rule gives the first-order linear differential equation
Consider the original analytic initial value problem
Here and are dimensionless variables in a stipulated mathematical model. The trajectories below are exact solutions of a differential equation, with no measured data or empirical parameter fit. For , the Bernoulli power substitution gives
The integrating factor is . Direct differentiation gives , independently checking the transformation. The linear exists for every real , while the nonlinear solution of a differential equation uses only the interval containing where :
For , , so its absolute value decreases toward zero. The lost zero solution of a differential equation is recovered by substitution into the original equation. Since is locally Lipschitz in everywhere, the Picard-Lindelöf theorem ensures uniqueness through every finite point, including . Thus a nonzero trajectory never meets or crosses zero at a finite .
Figure 1.
Two Bernoulli trajectories and their exact linearized coordinates
. The initial conditions are in orange and in blue. Left: the positive trajectory reaches finite-time blowup at , while the negative trajectory approaches zero. The vertical axis clips the positive curve at ; this is a display limit. Right: the corresponding trajectories satisfy . The dashed orange continuation past solves the first-order linear differential equation but cannot extend the original positive initial value problem across blowup. Details.
For , the exact solution of a differential equation is on . It first decreases, reaches a local minimum , then increases without bound. At the endpoint,
The finite-time blowup comes from a simple zero of at , where , rather than from a singular coefficient in the first-order linear differential equation. The same algebraic expression for is negative on , but that is a separate solution of a differential equation on a disjoint interval; infinity supplies no finite joining value. For , on , giving a distinct decaying branch whose finite blowup is instead in the past.
The direction field also explains the positive turning point. Its nullclines are and , because
Above the positive nullcline, ; between it and zero, ; below zero, . The moving nullcline is not a solution of a differential equation: its derivative is , whereas the prescribed slope there is zero. The trajectory crosses it at , exactly its local minimum.
Figure 2.
The Bernoulli direction field and the disconnected inverse branches at blowup
. Left: the direction field, its two nullclines, and the exact and trajectories. Right: has a positive branch on and a negative branch on ; the excluded point separates them. The zero solution of a differential equation belongs to the original equation but has no finite reciprocal coordinate. The branches continue beyond the plotted vertical limits. Details.
Here is an explicitly stipulated elementary kinetic model, not experimental data. A well-mixed ideal closed system has constant temperature and volume. Alongside an uncatalysed elementary reaction, allow an illustrative catalytic encounter that returns C immediately:
Both channels obey the law of mass action. In the second, the forward reaction rate is and the reverse reaction rate is . C cancels in each encounter, so its free concentration stays constant without an external supply. This toy elementary reaction encodes regeneration without binding; it is not a claim that real catalytic cycles universally consist of one encounter. A binding cycle can accumulate a reaction intermediate, in which case constant total C does not imply constant free .
Adding the parallel reaction rates gives effective first-order reaction rate constants
Because , each channel balances at the same , and so does their sum. At the pair is ; at it is . Both give with ideal thermodynamic activities and a common concentration standard state. At their compatible standard reaction change in Gibbs free energy is . Choosing an unrelated reverse rate constant would break this consistency.
Let be the conserved concentration, and define the dimensionless quantity . Then
Solving this first-order linear differential equation gives
The chemical relaxation time is without C and with the chosen C. From either or , the exponential decay of the deviation leads to the same chemical equilibrium . Reducing that deviation to one percent takes : about versus .
Figure 1.
Two initial compositions and two kinetic speeds approach the same chemical equilibrium
. Exact curves from the stipulated reversible catalytic relaxation model. Solid curves include of C; dashed curves omit C. Blue starts entirely as A and orange entirely as B. Both panels use the same equations; the right panel resolves the first . The common dotted line is , not a fitted plateau or an experimental measurement. Details.
At this chemical equilibrium, conversion continues in both directions. For , the uncatalysed channel has equal forward and reverse reaction rates . Adding C gives total directional reaction rates each, yet zero net reaction rate. Faster molecular exchange and unchanged composition coexist. This exact calculation explains how catalysis can matter enormously within an observation window while leaving the final equilibrium constant intact.
RL circuit 2026-10-14
An RL circuit combines electrical resistance and self-inductance . In the series model, the same electric current flows through both components. An ideal battery maintains terminal electric potential difference ; the drops in the direction of positive electric current obey Ohm's law and the inductor relation:
This is Kirchhoff's voltage law with the inductor's terminal drop, rather than its oppositely signed induced electromotive force. For constant , , and , the first-order linear differential equation has solution
The time constant measures exponential decay of the difference from the final electric current. [ref].
For a stipulated example, take electrical resistance , self-inductance , terminal electric potential difference , and initial electric current . Then
With measured numerically in seconds, this is in amperes. At one time constant,
and the terminal electric potential difference drops are
Their sum is exactly . At , the inductor takes the entire terminal electric potential difference while the electric current is still zero. At steady electric current, the inductor's terminal drop is zero and the entire drop is across the electrical resistance.
Figure 1.
Electric current and terminal electric potential difference drops during an RL circuit response
. The battery maintains across electrical resistance and self-inductance in series. The dashed vertical line marks time constant ; uses the positive terminal-drop convention. Details.
The final magnetic energy stored by the inductor is . At one time constant, the electric current has reached about of its final value, but its magnetic energy has reached only about :
This difference follows from the square of electric current in the inductor's magnetic energy.
For release, take at the start of a separate experiment with initial electric current . Remove the battery from the model while maintaining a closed path through the same electrical resistance and inductor. Then
Now : the induced electromotive force supports the continuing positive electric current as its magnitude decreases. This closed-loop model describes exponential decay, not opening the sole path and imposing an instantaneous jump to zero electric current. The inductor's magnetic energy and the power of Joule heating are
Their time constant is . The total energy dissipated by Joule heating is exactly the initial magnetic energy:
The second diagram in inductor shows this energy transfer. A finite closed path lets us predict both how long the electric current persists and how much energy becomes heat. [ref].
Singular perturbation Created 2026-09-24 Updated 2026-10-14
A singular perturbation is a parameter-dependent problem whose limiting problem changes qualitatively as the parameter tends to zero. In an ordinary differential equation, a small coefficient of the highest derivative can reduce the order of the limiting differential equation, preventing it from satisfying all the original boundary conditions. Different length or time scales often require different asymptotic expansions.[ref]
Consider the boundary value problem
This second-order differential equation is exactly solvable. Setting gives the first-order linear differential equation , so . One integration and the two boundary conditions give
Both boundary conditions hold for every positive . For numerical evaluation, write the same ratio as , where evaluates the exponential function minus one without catastrophic cancellation near . Keep the denominator for finite : at it is approximately , rather than exactly one.
Setting gives . The outer solution selected by the right boundary condition is therefore , which fails the left boundary condition. The exact exponential function shows how that mismatch is repaired: the solution rises from zero to almost one within a boundary layer of width , using Big O notation. For each fixed , , while always. This pointwise convergence fails to be uniform convergence to the outer solution on , since for every .
Figure 1.
Exact solutions with a shrinking left boundary layer
. The exact normalized profiles at , , and satisfy both boundary conditions. The dashed outer solution misses the left boundary condition. Colored dots mark , where most of the initial rise has already occurred. Details.
The coefficient is small, but its product with the second derivative need not be small. Direct differentiation gives
At with fixed , these derivatives grow as and respectively as . Consequently and have exactly equal magnitudes and opposite signs. Even away from the boundary layer, their magnitudes remain equal in this example; both become exponentially small at each fixed positive . The outer expansion neglects an exponentially small transient there, rather than establishing that one derivative term is smaller than the other everywhere.
To predict the width without knowing the exact solution, suppose an order-one change occurs over distance . The derivative scales are and . The dominant balance gives . The resulting inner variable makes the boundary layer visible at a fixed scale. This is the useful feature of singular perturbation: an apparently disappearing term identifies the missing structure when one measures its derivatives on the appropriate scale.