Delayed solutions of a square-root differential equation Created 2026-10-14 Updated 2026-10-20
This initial value problem uses a square root and absolute value to define a continuous function on all of . For every finite waiting time , a forward solution of a differential equation on is
The constant solution of a differential equation is another choice. For example, at , waits give values . These are dimensionless mathematical trajectories; no measured physical waiting time is being supplied.
Verification uses the original ordinary differential equation, including the join. Before departure, both and vanish. For , their common value is . For , the difference quotient at the join is
Thus the derivative exists at , equals the rate law there, and is continuous across the join. For the same computation gives the right derivative at the starting endpoint. For , the left and right second derivatives at departure are and : these forward solutions of a differential equation are continuously differentiable functions, without being twice differentiable at departure. The local two-sided statement of the Peano existence theorem is separate from this explicitly forward family.
The rate law tends to zero as , but its secant slopes from zero are unbounded:
No finite local Lipschitz constant exists at zero. At the quotient is , even though the rates are shrinking to zero. Continuity controls the rate itself; Lipschitz continuity would control its change relative to the state displacement.
Figure 1.
A continuous square-root rate has unbounded secant slopes at zero
. Left: the continuous rate on both sides of zero, with two positive-state secants. Right: their slope on logarithmic axes, including the values . Details.
There is also a numerical lesson. The forward Euler method starting exactly at zero gives at every step. It reproduces the constant solution of a differential equation for every positive step size, while the moving trajectories remain equally valid. A computation producing one trajectory cannot establish uniqueness. Likewise, the separable differential equation calculation that divides by only describes the moving pieces: checking the original equation recovers the zero pieces and their joins.
A homogeneous first-order differential equation has the form on a domain where . The substitution , so , reduces it to
Where , this is a separable differential equation, with . Values satisfying give the additional straight-line solutions , which must be checked before division. This scaling-based use of “homogeneous” is different from a homogeneous linear differential equation.
For example, gives , so and . Real explicit branches are on intervals where the expression under the square root is positive. Zeros of a denominator and endpoints of a branch must still be checked in the original ordinary differential equation.
Newton's law of cooling Created 2026-09-29 Updated 2026-10-14
Newton's law of cooling models an object's temperature using a positive constant rate and ambient temperature . The displayed ordinary differential equation assumes one temperature represents the object, the environment remains at , and the proportional rate stays fixed over the modeled range. It also describes warming when . These are modeling assumptions: [ref] explain the proportional law through a tangent line approximation and caution about large temperature differences.
Dimensional analysis requires to have units of inverse time. The product in the exponential function solution is therefore dimensionless. The equilibrium point attracts both warmer and colder starting states: the excess temperature undergoes exponential decay. See initial value problem for computed cooling times, direction field for the family of trajectories, and separable differential equation for a derivation.
Near the solution of a differential equation has , so the separable differential equation gives
Equivalently its trajectory lies on the level set
On , the function is strictly increasing because , and its range is . Thus the positive branch exists exactly where
The connected component containing is
The implicit function theorem gives a smooth solution of a differential equation at every such . It remains finite at every finite , because increases without bound. As , we have , and the original right side becomes singular. Hence this is the maximal interval through the prescribed initial condition.
In particular, the solution is not defined for all . It cannot pass through as a classical solution, since its required value there is .
Where and , the separable differential equation gives
The requested point selects the implicit solution . The two real branches approaching that point are
There is an important initial value problem qualification: the differential equation as printed has no classical solution through the specified initial point. Its right side is undefined at , and these branches have an infinite one-sided derivative as . They satisfy the differential equation on and extend continuously to the requested point. Multiplying by the vanishing denominator produces an implicit differential equation with a larger domain; it does not repair the original initial value problem.
Set , so . The new equation is a separable differential equation:
Absorbing the constant scaling into , the real solutions are
Each solution is taken on a connected interval avoiding its tangent poles. No constant real solution for was lost by separation, because is strictly positive for real .
The right-hand side depends on , suggesting the substitution . Then , so the ordinary differential equation becomes
The original equation is undefined at . If , this is a separable differential equation:
Substituting back gives the implicit family
Differentiating the implicit equation gives , or , verifying it on its permitted intervals.
Division by excluded the constant solution , which must be restored separately:
It satisfies . Together these give all local real solutions on intervals where .
On an interval with , this is a homogeneous first-order differential equation. Put , so . Substitution and division by give
The constant choices and give and . Otherwise the separable differential equation gives
Absorbing the sign and the exponential integration constant yields . Relabelling the arbitrary constant then gives
The first family already includes at . Choose any interval where its denominator is nonzero. These give all solutions on intervals avoiding . Both families extend through with , as required by the original ordinary differential equation. Because it is singular there, differentiable continuations of the nonzero family may use different on the two sides: both one-sided derivatives at zero equal .
This is a separable differential equation. On the solution with , integration from the initial condition gives
The right side lies in , so taking its sine stays on the required branch. The solution is
Near the origin, , so and the tangent line is horizontal. At the other end, , while
Thus the curve has a vertical limiting tangent line as , even though is excluded from the domain.
For the direction field, the slope is nonnegative everywhere in the square. The segments are horizontal on and on , become steeper as increases at fixed , and become flatter as increases at fixed . Near they are almost vertical unless is correspondingly close to one. The excluded corner has no single limiting slope: the ratio depends on the path of approach.
Figure 1.
Positive slope field and the solution from the origin, with its horizontal and vertical limiting tangents
. Details.
For , the polar coordinates satisfy
A positive constant radius must therefore be one. The nonconstant periodic solutions are
with least period and counterclockwise orientation. The origin is also a stationary solution, hence periodic in the degenerate sense of a constant function; it is a point rather than a nontrivial closed orbit. There are no other constant-radius solutions.
For , put . Then , a logistic differential equation. Solving this separable differential equation gives
The denominator is positive for every forward time. When , the radius increases monotonically to one; when , it decreases monotonically to one; and when it stays there. Thus every nonzero orbit approaches the unit circle while continuing to rotate. More precisely, its distance from the phase-matched circular solution tends to zero; its Cartesian coordinates do not converge to a single point. For , the solution stays at the origin.
The origin is the only equilibrium point. Its Jacobian matrix is
whose eigenvalues are . It is an unstable focus. The unit circle is an attracting limit cycle, rather than a curve of equilibria: on it the vector field remains nonzero. Linearizing the radial equation at gives , confirming radial attraction. All other radii are strictly monotone, so there are no additional nontrivial periodic orbits.
Figure 1.
Counterclockwise spirals approach an attracting unit circle around an unstable equilibrium
. Details.
Before time one, both forcing terms vanish. The separable differential equation gives . The initial values give , and hence
In particular the common left-hand limit at time one is .
A passive disk is heated predominantly by intercepted stellar radiation, rather than by its own viscous dissipation. A rough luminosity criterion, ignoring geometric factors, is
The intrinsic accretion disk luminosity is of order , with additional accretion energy potentially released at the stellar surface. The local test is more precise: absorbed irradiation must dominate the viscous flux at the radius being considered. For an ordinary steady Keplerian accretion disk, sufficiently far outside its inner edge,
where is the irradiation grazing angle of a disk. Reflection, very small incidence angles and shadowing can invalidate a simple total-luminosity comparison. The following calculation assumes an illuminated, absorbing surface.
At a point on the upper surface, the outward unit normal in the meridional plane is proportional to , and a light ray from the point source is directed along . Its flux through the upper face is the incident inverse-square flux times minus their scalar product:
For a thin disk with small surface slope this becomes
The tangent slope and ray slope differ by . Positive incidence requires disk flaring, , and an unobstructed ray from the star. A negative value of the formula would mean that direct illumination of this face is absent, not that it receives a negative heating flux. The hierarchy makes the finite angular size of the star negligible here.
Let , so the ideal gas equation of state gives the isothermal sound speed . In the stellar vertical gravitational potential, hydrostatic equilibrium has vertical acceleration , where . Integration of gives a Gaussian atmosphere with disk scale height
Consequently satisfies . Substitute this into the stipulated Stefan–Boltzmann law and the irradiation flux:
Here specifies surface height in units of disk scale height and is unrelated to the wind-energy fraction in the preceding solution. This separable differential equation integrates exactly to
If the thin-disc solution is formally matched to , then , giving
It follows that the flaring passive disk asymptotic is
This applies in the thin intermediate region , in addition to the point-source and stellar-gravity assumptions. The corrections are of relative order . In particular, the printed hierarchy must still be accompanied by the initial thin-disc condition : if , radii larger than cannot satisfy that approximation. The matching at is an extrapolation used to set an integration constant; the derivation is not a valid treatment of a thick surface at itself.
Identify the stellar surface temperature with its effective radiating temperature, so that luminosity of a spherical blackbody gives . The given stellar surface scale height has , hence . Substituting into yields
Thus a small stellar surface scale height leaves a wide interval above and below in which the thin disk flaring law can apply. The point-source approximation imposes the stronger lower cutoff obtained from :
This cutoff is still much smaller than when . The full interval is therefore , whenever these bounds overlap. An assumed thickening radius must lie above the lower cutoff for all of the original approximations to hold simultaneously. The stellar luminosity-temperature relation is essential to the final comparison; independent arbitrary values of and would not imply it.
The equilibrium points are . To obtain the other solutions of this separable differential equation without losing their signs, set on an interval where . Then , so . Therefore all real solutions are
on intervals where . This family includes when . For a prescribed finite nonzero , and , so the solution exists for all future time. The cubic logistic differential equation has
These are the only possible limits. The sign cannot change by uniqueness, and the denominator tends to one. A nonzero initial condition producing a constant solution is ; also works. The central equilibrium point is unstable and the two outer equilibrium points attract solutions from their respective half-lines.
For , eliminating time gives the separable differential equation
and hence
Define the possible limit at for a trajectory starting off the boundary lines by
The set is empty because , so there is no finite accumulation point. Since on and outside , the complete classification off the boundary lines is
For the solution has forward finite-time blow-up, and for it has backward finite-time blow-up, explaining the other empty entries under the usual infinite-time definitions.
It remains to treat . Here and . If , both limit sets equal . If , then
This includes all boundary cases in both and the initial point.
For a component with the barotropic equation of state , the cosmological perfect-fluid continuity equation is
Using makes this a separable differential equation:
Taking gives the constant-equation-of-state density scaling
The spatially flat Friedmann equation and the cosmological density parameters therefore give
Along a radial light ray, . Since the redshift-time relation is and ,
Hence the comoving radial distance is
Use the change of variables . Then , a separable differential equation. Where is not an odd multiple of , separation of variables gives
Indeed the derivative of with respect to is . The nonconstant branches can also be written , . Dividing by excluded its zeros: the missing equilibrium solutions for give the additional solutions of a differential equation
They satisfy directly. The transformed right side is continuously differentiable, so the uniqueness theorem for ordinary differential equations prevents a nonconstant branch from crossing an equilibrium solution at finite .
Work with and write . The chain rule gives
Thus : it is a constant multiple of the one-dimensional Gaussian heat kernel.
For the modified equation, put . Substitution gives . The heat-equation terms cancel, and permits division to obtain . Solving this separable differential equation gives
The zero solution is included by . This is the scalar integrating factor for a reaction-diffusion equation with reaction coefficient , because the modified equation is . Its sign produces growth. Indeed is constant, while increases linearly for ; neither profile is being assigned unit normalization here.
Figure 1.
Diffusive spreading with conserved mass versus the same spreading with amplitude growth
. Original profiles at . The left solution is ; the right is with . Their widths both grow as , but their spatial integrals are respectively constant and proportional to . Details.
The separable differential equation gives . Thus on , and the initial value gives . Hence
The initial-value branch cannot cross its singularity at zero.
Away from the separable differential equation gives
On the interval containing , one has , so the positive initial value selects . Substitution of gives . Thus
The zero solution omitted by division by cannot satisfy the initial value. Although the selected solution tends to zero as , its derivative diverges there; it does not extend through that point as a classical differentiable solution.
For this separable differential equation, away from , separation gives , or on a connected interval. The initial condition gives , hence
The maximal interval containing on which this solves the printed differential equation is . Although the linear formula extends through one, the right-hand side there is and the original equation is undefined. The equilibrium solution , lost if one divides by , does not satisfy the initial condition.