Delayed solutions of a square-root differential equation

ID: delayed-solutions-of-a-square-root-differential-equation

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.

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