Math
Concatenation of solutions
Step-by-step mathematics solution: Concatenation of solutions
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1. What the problem is asking (in plain language)
We have a first‑order autonomous‑in‑t ODE
[ u’(t)=\alpha(t)\,g\bigl(u(t)\bigr),\qquad t\in I\subset\mathbb R, ]
where
- (\alpha : I_{1}\to\mathbb R) and (g : I_{2}\to\mathbb R) are continuous,
- (I_{1},I_{2}) are intervals, and
- there is a special value (u_{0}\in I_{2}) with (g(u_{0})=0) (an equilibrium).
Two partial solutions are given:
- (\varphi_{1}:(a,b_{1})\to I_{2}) solves the ODE on ((a,b_{1})) and approaches the equilibrium as (t\to b_{1}^{-});
- (\varphi_{2}:(b_{2},c)\to I_{2}) solves the ODE on ((b_{2},c)) and approaches the equilibrium as (t\to b_{2}^{+}).
The intervals may overlap at a single point ((b_{1}=b_{2})) or be disjoint ((b_{1}<b_{2})).
We are asked to glue the two solutions together, staying at the equilibrium on the “gap’’ ([b_{1},b_{2}]), and to prove that the resulting function
[ \varphi(t)= \begin{cases} \displaystyle \varphi_{1}(t), & a<t<b_{1},\[4pt] u_{0}, & b_{1}\le t\le b_{2},\[4pt] \displaystyle \varphi_{2}(t), & b_{2}<t<c, \end{cases} ]
is itself a (global) solution of the same ODE on the whole interval ((a,c)).
In other words, we must show that (\varphi) is continuous on ((a,c)) and differentiable at every point, with derivative satisfying
[ \varphi’(t)=\alpha(t)\,g\bigl(\varphi(t)\bigr)\qquad\text{for all }t\in(a,c). ]
The only delicate points are the “junction’’ points (b_{1}) and (b_{2}); everywhere else (\varphi) coincides with a known solution, so the ODE is already satisfied there.
2. Detailed proof
2.1 Extend the two given solutions to the endpoints
Define the extended functions
[ \tilde\varphi_{1}:[a,b_{1}]\to I_{2},\qquad \tilde\varphi_{2}:[b_{2},c]\to I_{2} ]
by
[
\tilde\varphi_{1}(t)=
\begin{cases}
\varphi_{1}(t), & a<t<b_{1},
u_{0}, & t=b_{1},
\end{cases}
\qquad
\tilde\varphi_{2}(t)=
\begin{cases}
u_{0}, & t=b_{2},
\varphi_{2}(t), & b_{2}<t<c.
\end{cases}
]
Because (\displaystyle \lim_{t\to b_{1}^{-}}\varphi_{1}(t)=u_{0}) and (\displaystyle \lim_{t\to b_{2}^{+}}\varphi_{2}(t)=u_{0}), the extensions are continuous at the added endpoints.
2.2 Continuity of (\varphi) on ((a,c))
By construction (\varphi) equals (\tilde\varphi_{1}) on ((a,b_{1}]), equals the constant (u_{0}) on ([b_{1},b_{2}]), and equals (\tilde\varphi_{2}) on ([b_{2},c)).
All three pieces are continuous, and they match at the joining points:
[
\tilde\varphi_{1}(b_{1})=u_{0}=\tilde\varphi_{2}(b_{2}).
]
Hence (\varphi) is continuous on the whole interval ((a,c)).
2.3 Differentiability away from the junction points
If (t\in (a,b_{1})), then (\varphi(t)=\varphi_{1}(t)). Since (\varphi_{1}) solves the ODE,
[ \varphi’(t)=\varphi_{1}’(t)=\alpha(t)g\bigl(\varphi_{1}(t)\bigr) =\alpha(t)g\bigl(\varphi(t)\bigr). ]
If (t\in (b_{2},c)), the same argument with (\varphi_{2}) gives the identity.
If (t\in (b_{1},b_{2})), (\varphi(t)\equiv u_{0}) is constant, so (\varphi’(t)=0). Because (g(u_{0})=0),
[ \alpha(t)g\bigl(\varphi(t)\bigr)=\alpha(t)g(u_{0})=0=\varphi’(t). ]
Thus the ODE holds everywhere except possibly at (b_{1}) and (b_{2}).
2.4 Differentiability at (b_{1})
We compute the derivative from the definition.
Recall that (\varphi(b_{1})=u_{0}).
Left‑hand limit ((h<0))
[ \frac{\varphi(b_{1}+h)-\varphi(b_{1})}{h} =\frac{\varphi_{1}(b_{1}+h)-u_{0}}{h},\qquad h\in(-\varepsilon,0). ]
Because (\varphi_{1}) is differentiable on ((a,b_{1})), the Mean Value Theorem provides a point (\xi_{h}\in(b_{1}+h,b_{1})) such that
[ \frac{\varphi_{1}(b_{1}+h)-u_{0}}{h}= \varphi_{1}’(\xi_{h}). ]
Since (h\to0^{-}) forces (\xi_{h}\to b_{1}) and (\varphi_{1}’) has a finite limit at (b_{1}) (see below), we obtain
[ \lim_{h\to0^{-}}\frac{\varphi(b_{1}+h)-\varphi(b_{1})}{h} =\lim_{h\to0^{-}}\varphi_{1}’(\xi_{h}) =\lim_{t\to b_{1}^{-}}\varphi_{1}’(t). ]
Now (\varphi_{1}) satisfies the ODE on ((a,b_{1})); thus for every (t\in(a,b_{1})),
[ \varphi_{1}’(t)=\alpha(t)g\bigl(\varphi_{1}(t)\bigr). ]
Take the limit as (t\to b_{1}^{-}). By continuity of (\alpha) and (g) and because (\varphi_{1}(t)\to u_{0}),
[ \lim_{t\to b_{1}^{-}}\varphi_{1}’(t) =\alpha(b_{1})\,g(u_{0})=0. ]
Hence the left‑hand derivative at (b_{1}) exists and equals (0).
Right‑hand limit ((h>0))
Two cases.
If (b_{1}<b_{2}), then for every sufficiently small (h>0) we have (b_{1}+h\in[b_{1},b_{2}]), and (\varphi(b_{1}+h)=u_{0}). Consequently
[ \frac{\varphi(b_{1}+h)-\varphi(b_{1})}{h}=0, ] so the right‑hand derivative is (0).
If (b_{1}=b_{2}), then for (h>0) small we are in the interval ((b_{2},c)) and (\varphi(b_{1}+h)=\varphi_{2}(b_{2}+h)). By the same mean‑value argument as above,
[ \frac{\varphi(b_{1}+h)-\varphi(b_{1})}{h} =\varphi_{2}’(\eta_{h}),\qquad \eta_{h}\in(b_{2},b_{2}+h). ]
Letting (h\to0^{+}) gives (\eta_{h}\to b_{2}) and, using the ODE for (\varphi_{2}),
[ \lim_{h\to0^{+}}\varphi_{2}’(\eta_{h}) =\alpha(b_{2})\,g(u_{0})=0. ]
Thus the right‑hand derivative is also (0).
Since the left and right limits coincide, (\varphi) is differentiable at (b_{1}) with
[ \boxed{\;\varphi’(b_{1})=0=\alpha(b_{1})g\bigl(\varphi(b_{1})\bigr)\; }. ]
2.5 Differentiability at (b_{2})
The argument is completely symmetric.
If (b_{1}<b_{2}) the left side uses the constant part (u_{0}), giving derivative (0).
If (b_{1}=b_{2}) we apply the mean‑value theorem to (\varphi_{1}) on the left. In all cases we obtain
[ \boxed{\;\varphi’(b_{2})=0=\alpha(b_{2})g\bigl(\varphi(b_{2})\bigr)\; }. ]
2.6 Conclusion
We have shown that
- (\varphi) is continuous on ((a,c));
- (\varphi) is differentiable at every point of ((a,c));
- the derivative satisfies the differential equation everywhere:
[ \varphi’(t)=\alpha(t)g\bigl(\varphi(t)\bigr),\qquad \forall\,t\in(a,c). ]
Hence (\varphi) is a solution of the ODE on the whole interval ((a,c)), i.e. the two partial solutions can indeed be concatenated through the equilibrium value (u_{0}).
3. Final answer
The piecewise‑defined function
[ \varphi(t)= \begin{cases} \varphi_{1}(t), & a<t<b_{1},\[2mm] u_{0}, & b_{1}\le t\le b_{2},\[2mm] \varphi_{2}(t), & b_{2}<t<c, \end{cases} ]
is a global solution of the differential equation
[ u’(t)=\alpha(t)g\bigl(u(t)\bigr) ]
on the interval ((a,c)). The crucial points (b_{1}) and (b_{2}) are differentiable with derivative (0) because the right‑hand side of the ODE vanishes at the equilibrium (u_{0}) ((g(u_{0})=0)).
4. Common mistakes to avoid
| Mistake | Why it’s wrong | How to fix it |
|---|---|---|
| Assuming differentiability at (b_{1},b_{2}) without proof. | The function changes definition there; one must check the limit of the difference quotient. | Use the definition of derivative, or the Mean Value Theorem, as done above. |
| Using (\varphi_{1}’(b_{1})) or (\varphi_{2}’(b_{2})) directly. | The original solutions are not defined at the endpoints, so those derivatives are not given a priori. | Take limits of (\varphi_{1}’(t)) as (t\to b_{1}^{-}) (and similarly for (\varphi_{2})). |
| Ignoring the continuity of (\alpha) and (g). | Without continuity we cannot pass limits through (\alpha(t)g(\varphi(t))). | Explicitly invoke continuity when computing (\displaystyle\lim_{t\to b_{1}^{-}}\alpha(t)g(\varphi_{1}(t))). |
| **Confusing the “gap’’ ([ |
Original question: Concatenation of solutions on Mathematics Stack Exchange, licensed CC BY-SA.