How Does the Lipschitz Condition Ensure Uniqueness in Differential Equations?

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In summary: By using $- \sigma' \leq 2K \sigma \Rightarrow (\sigma e^{2Kt})' \geq 0$, we can immediately conclude that $\sigma(t) \equiv 0$ for $t \leq t_0$ and therefore $x(t) \equiv y(t)$.
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evinda
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TheoremIf the vector field $\Phi(x,t)$ satisfies the Lipschitz condition as for $x$ and is continuous as for $t$ in a space $\Omega \times (a,b) \subset \mathbb{R}^{n+1}$, then there is at most one solution of the system $\frac{dx}{dt}=\Phi(x,t) (1)$, that satisfies the initial condition $x(t_0)=c (c=(c_1, \dots, c_n))$ where $(c, t_0) \in \Omega$.ProofWe suppose that there are two solutions $x(t)$ and $y(t)$, where $x(t_0)=y(t_0)=c$. We introduce the function $\sigma(t)$ which is equal to the square of the distance between $x(t)$ and $y(t)$

$$\sigma(t)= \sum_{k=1}^n [x_k(t)-y_k(t)]^2=|x(t)-y(t)|^2 \geq 0 (\star)$$

We find the derivative of $\sigma (t)$, taking into consideration that $x(t)$ and $y(t)$ are solutions of the system $(1)$

$$ (2)\sigma'(t)=2 \sum_{k=1}^n [x_k(t)-y_k(t)] [\Phi_k(x,t)-\Phi_k(y,t)]=2 [x-y][\Phi(x,t)-\Phi(y,t)]$$Using the Cauchy- Schwarz inequality we get $$\sigma'(t) \leq |\sigma'(t)|=2 |(x-y) \cdot (\Phi(x,t)-\Phi(y,t))| \leq 2 |x-y||\Phi(x,t)-\Phi(y,t)|\leq 2K |x-y|^2=2K \sigma(t) $$From $(2)$ it follows immediately that $\sigma' \leq 2K \sigma \Rightarrow (\sigma e^{-2Kt})' \leq 0$ and so for $t \geq t_0$, $\sigma (t) \leq \sigma(t_0) e^{2K(t-t_0)}$.

Since $x(t_0)=y(t_0)$ we have $\sigma (t_0)=0$ and so $\sigma (t) \leq 0$.

From $(\star)$ we get that $\sigma (t) \equiv 0$ and $|x(t)-y(t)|^2 \equiv 0$ for $t \geq t_0$.Consequently, $x(t) \equiv y(t)$ for $t \geq t_0$.

In a similar way we can look at the case $t<t_0$.

Obviously $-\sigma'(t) \leq |\sigma'(t)|$ and thus

$$- \sigma' \leq 2K \sigma \Rightarrow (\sigma e^{2Kt})' \geq 0$$

Therefore, for $t \leq t_0$ we have

$\sigma(t) e^{2Kt} \leq \sigma(t_0) e^{2Kt_0} \Rightarrow \sigma(t) \leq \sigma(t_0) e^{2K(t_0-t)}$

Consequently, $\sigma(t) \equiv 0$ for $t \leq t_0$, i.e. $x(t) \equiv y(t)$ for $t \leq t_0$.
Why do we use $- \sigma' \leq 2K \sigma \Rightarrow (\sigma e^{2Kt})' \geq 0$ in order to deduce that $x(t) \equiv y(t)$ for $t \leq t_0$ ?

Couldn't we also use this relation $(\sigma e^{-2Kt})' \leq 0$, which we also used for $t \geq t_0$ ? :confused:
 
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  • #2
We use $- \sigma' \leq 2K \sigma \Rightarrow (\sigma e^{2Kt})' \geq 0$ in order to deduce that $x(t) \equiv y(t)$ for $t \leq t_0$ because it is a more direct way to reach the desired result. The relation $(\sigma e^{-2Kt})' \leq 0$, which we used for $t \geq t_0$, gives us the same result but requires more steps to get there.
 

Related to How Does the Lipschitz Condition Ensure Uniqueness in Differential Equations?

Why do we use this relation?

1. What is a relation in scientific research?
A relation in scientific research refers to the connection or association between two or more variables or phenomena. It is used to understand how changes in one variable may affect another.

Why do we use this relation?

2. How do we determine which relation to use in a study?
The type of relation used in a study depends on the research question and the type of data being collected. Some common types of relations in scientific research include correlation, causation, and association.

Why do we use this relation?

3. What are the benefits of using a relation in scientific research?
Using a relation allows researchers to identify patterns and trends in data, make predictions, and draw conclusions about the relationships between variables. This can lead to a better understanding of the natural world and help inform future studies.

Why do we use this relation?

4. How do we establish a cause and effect relation in scientific research?
Establishing cause and effect is a complex process in scientific research. It requires controlling for all other variables and conducting experiments to determine if a change in one variable directly causes a change in another.

Why do we use this relation?

5. Can a relation be used to prove a hypothesis?
A relation alone cannot prove a hypothesis, but it can provide evidence to support or reject a hypothesis. Other factors such as experimental design, sample size, and statistical analysis also play a role in determining the validity of a hypothesis.

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