Initial Value Problems

Work in progress. This note is still being written and incomplete.

An initial value problem (IVP) is a first-order ODE together with the solution value at the left endpoint.

y(t)=f(t,y),atb,y(a)=αy'(t) = f(t, y), \quad a \leq t \leq b, \quad y(a) = \alpha

Most IVPs have no analytical solution. Numerical methods approximate yy at discrete points of [a,b][a, b].

Lipschitz Condition

f(t,y)f(t, y) satisfies a Lipschitz condition in yy on DR2D \subseteq \mathbb{R}^2 iff a constant L>0L > 0 exists with

f(t,y1)f(t,y2)Ly1y2|f(t, y_1) - f(t, y_2)| \leq L|y_1 - y_2|

for all (t,y1),(t,y2)D(t, y_1), (t, y_2) \in D. LL is a Lipschitz constant for ff.

Partial Derivative Test

If DD is convex and a constant L>0L > 0 exists with fy(t,y)L\left| \dfrac{\partial f}{\partial y}(t, y) \right| \leq L for all (t,y)D(t, y) \in D, then ff satisfies a Lipschitz condition in yy on DD with Lipschitz constant LL.

Existence and Uniqueness

Let D=[a,b]×RD = [a, b] \times \mathbb{R}. If ff is continuous on DD and satisfies a Lipschitz condition in yy on DD, then the IVP has a unique solution y(t)y(t) for atba \leq t \leq b.

For example, consider: y=1+tsin(ty)y' = 1 + t\sin(ty), 0t20 \leq t \leq 2, y(0)=0y(0) = 0.

Here fy=t2cos(ty)4\left| \dfrac{\partial f}{\partial y} \right| = |t^2 \cos(ty)| \leq 4 on [0,2]×R[0, 2] \times \mathbb{R}, so a unique solution exists.

Stable Solution

Let δ(t)\delta(t) be a continuous perturbation of the equation and δ0\delta_0 a perturbation of the initial value. The perturbed problem is

z(t)=f(t,z)+δ(t),atb,z(a)=α+δ0z'(t) = f(t, z) + \delta(t), \quad a \leq t \leq b, \quad z(a) = \alpha + \delta_0

The solution y(t)y(t) is stable iff constants ε0>0\varepsilon_0 > 0 and k>0k > 0 exist such that for every ε(0,ε0)\varepsilon \in (0, \varepsilon_0):

  • whenever δ(t)<ε|\delta(t)| < \varepsilon for all t[a,b]t \in [a, b] and δ0<ε|\delta_0| < \varepsilon
  • the perturbed problem has a unique solution z(t)z(t)
  • z(t)y(t)<kε|z(t) - y(t)| < k\varepsilon for all t[a,b]t \in [a, b]

Here:

  • kk: stability constant, independent of ε\varepsilon

The perturbed solution stays within kεk\varepsilon of the original. The change in the solution is bounded proportionally to the size of the perturbations.

Well-Posed Problem

The IVP is well-posed iff:

  • a unique solution y(t)y(t) exists
  • the solution is stable

Check well-posedness before applying any numerical method.

Well-Posedness from Lipschitz

Let D=[a,b]×RD = [a, b] \times \mathbb{R}. If ff is continuous and satisfies a Lipschitz condition in yy on DD, then the IVP is well-posed.

A well-posed IVP may fail the Lipschitz condition. If Lipschitz fails, check the well-posed definition directly.

Worked Example

y(t)=yt2+1y'(t) = y - t^2 + 1, 0t20 \leq t \leq 2, y(0)=0.5y(0) = 0.5.

f(t,y)=yt2+1f(t, y) = y - t^2 + 1 is continuous on D=[0,2]×RD = [0, 2] \times \mathbb{R}, and fy=1\left| \dfrac{\partial f}{\partial y} \right| = 1. So ff is Lipschitz in yy with L=1L = 1, and the IVP is well-posed.

To see the stability bound directly, take a constant equation perturbation δ\delta and an initial perturbation δ0\delta_0

z(t)=zt2+1+δ,z(0)=0.5+δ0z'(t) = z - t^2 + 1 + \delta, \quad z(0) = 0.5 + \delta_0

Both problems have closed-form solutions

y(t)=(t+1)20.5et,z(t)=(t+1)2δ+(δ0+δ0.5)ety(t) = (t+1)^2 - 0.5 e^t, \qquad z(t) = (t+1)^2 - \delta + (\delta_0 + \delta - 0.5)\, e^t z(t)y(t)=(δ0+δ)etδ(2e2+1)ε|z(t) - y(t)| = \left| (\delta_0 + \delta)\, e^t - \delta \right| \leq (2 e^2 + 1)\, \varepsilon

for δ<ε|\delta| < \varepsilon and δ0<ε|\delta_0| < \varepsilon, using ete2e^t \leq e^2 on [0,2][0, 2]. The bound holds with k=2e2+1k = 2 e^2 + 1 for every ε>0\varepsilon > 0.

Written by September 13, 2026 2 min read
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