Bounded Solution For Differential Inequality

In summary: Using the fundamental theorem of calculus, we can integrate both sides of (\ref{mom2}) from $a$ to $t$ to obtain\begin{equation} 0 \geq S(t)e^{\lambda t} - \frac{M_{1}}{\lambda}e^{\lambda t} - [S(a)e^{\lambda a} - \frac{M_{1}}{\lambda}e^{\lambda a}]. \end{equation} This can be re-written as \begin{equation} S(t)\leq \frac{M_{1}}{\lambda} + (S(a) - \frac{M_{1}}{\lambda})e^{-\lambda
  • #1
Roger1
3
0
Let x(t) a positive function satisfied the following differential inequality

$\frac{x'(t)}{1+{x(t)}^{2}}+x(t)f(t)<2f(t)$ , (1)

with $0\leq t\leq T$ , $\arctan(0)<\frac{\pi }{2}$ and $f(t)$ is a positive function.

Is x(t) bounded for all $T\geq 0$?
 
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  • #2
Hi Roger,

Since a continuous function on a closed and bounded interval is bounded, it follows that $x(t)$ is bounded on $[0,T]$. This does not require the use of the differential inequality.
 
  • #3
Here T, it is not necessarily finite.
It is interesting to get an inequality of the form
arctan(x(t))< $\frac{\pi}{2}$. for all $t\ge0$.
 
  • #4
The domain of the principal arctangent is $(-\pi/2, \pi/2)$, so the inequality $\arctan(x(t)) < \frac{\pi}{2}$, $t \ge 0$, is automatically satisfied. To answer whether $x(t)$ is bounded on $[0,\infty)$, first you should set $f = 1$ and see what you get.
 
  • #5
I find this,
$arctan(x(t))+\int_{0}^{T}(x(s)-2)f(s)ds<\pi /2$.

$x(t)$ is finite for all $t\geq 0$.
 
  • #6
Here are some proofs I developed for differential inequalities. They may give you some more intuition on how to visualize the answer suggested above. \begin{theorem}
Let $w(t,u)$ be continuous on an open connected set D $\subset$ ${\rm I\!R^{2}}$ and be such that the initial value problem for the scalar equation,
\begin{equation}\label{thm2} u'=w(t,u) \end{equation}
has a unique solution. If $u(t)$ is a solution of (\ref{thm2}) on $a\leq t\leq b$ and $y(t)$ is a solution of __ on $a\leq t\leq b$ with $y(a)\leq u(a)$, then $y(t) \leq u(t)$ for $a\leq t\leq b$.
\end{theorem}

\begin{lemma}
Suppose w(t, u) satisfies the conditions of Theorem 2 such that, $a\leq t\leq b$, with $u\geq 0$, and let $u(t) \geq 0$ be a solution of (\ref{thm2}) on $a\leq t < b$. If $\bff: [a,b) \times \Rn \rightarrow \Rn$ is continuous and
\begin{equation}\label{lemma3} \norm{\bff (t, \bfy )}\leq w(t, \norm{\bfy}), \hspace{.8cm} a\leq t<b, \hspace{.8cm} \bfy \in \Rn , \end{equation}
then the solutions of
\begin{equation} \bfy' = \bff(t,\bfy), \hspace{.80cm} \norm{\bfy (a)|} \leq u(a) \end{equation}
exist on $[a, b)$ and $\norm{ \bfy (t)}\leq u(t)$, with t $\in$ $[a,b).$
\end{lemma}

The following lemma will be used for our differential inequalities. That is, we will use it to help us prove that we can extend our solutions to the boundary values. We will use certain parts of this lemma in our proofs.

Let S be a differentiable function on [a, b].\\
Part A: If S satisfies the differential inequality
\begin{equation}\label{219} S'(t)\leq \lambda S(t), \hspace{.80cm} a\leq t\leq b \end{equation}
where $\lambda$ is a constant and $\lambda >0$, then
\begin{equation}\label{220} S(t)\leq S(a)e^{\lambda (t-a)} \mbox{ for } a\leq t\leq b.\end{equation}
Part B: If S satisfies the differential inequality
\begin{equation}\label{221} S'(t) + \lambda S(t) \leq M_{1} , \hspace{.80cm} a\leq t\leq b.\end{equation}
where $M_{1}>0$ and $\lambda >0$ are constants, then
\begin{equation}\label{222} S(t) \leq \frac{M_{1}}{\lambda} +(S(a) -\frac{M_{1}}{\lambda})e^{\lambda (a-t)} \mbox{ for } a\leq t\leq b. \end{equation}
Part C: If S satisfies the differential inequality
\begin{equation}\label{223} S'(t)\leq (M_{1} + M_{2}e^{\lambda t})S(t), \hspace{.80cm} a\leq t\leq b \end{equation}
where $M_{1}>0, M_{2} >0,$ and $\lambda > 0$ are constants, then
\begin{equation}\label{224} S(t)\leq S(a)e^{M_{1}(t-a)+\frac{M_{2}}{\lambda}(e^{\lambda t} - e^{\lambda a})} \hspace{.1cm} \mbox{ for } a\leq t\leq b.\end{equation}
\end{lemma}

%proof of Lemma 4 part A
We prove each Part of Lemma 4 separately.

\emph{Proof of Part A.}

Let S be a differentiable function on [a,b] where $\lambda$ is a constant and $\lambda >0$.\\
Then for part A, we suppose
\begin{equation}\label{iea} S'(t) \leq \lambda S(t), \hspace{.6cm} a\geq t\geq b .\end{equation}
Rearranging (\ref{iea}) we have,
\begin{equation}\label{mul} 0\geq S'(t) - \lambda S(t) .\end{equation}
Similar to an ordinary differential equation we multiply both sides of (\ref{mul}) by the integrating factor $e^{-\lambda t}$, \cite{Vance}.
This gives us,
\begin{equation}\label{rhs5} 0 \geq S'(t)e^{-\lambda t} - \lambda S(t) e^{-\lambda t} \end{equation}
Notice that the right hand side of (\ref{rhs5}) is the derivative of the product
\begin{equation*} S(t)e^{-\lambda t}. \end{equation*}
Hence we can say,
\begin{equation}\label{hence} 0 \geq S'(t)e^{-\lambda t} - \lambda S(t)e^{-\lambda t}=\frac{d}{dt}(S(t)e^{-\lambda t})
\end{equation}
We can now form the definite integral from $a$ to $t$ on each side of (\ref{hence}) to obtain
\begin{equation} \int_{a}^{t} 0\geq \int_{a}^{t} \frac{d}{dt}(S(t)e^{-\lambda t})dt. \end{equation}
Evaluating both integrands yields,
\begin{equation} 0 \geq S(t)e^{-\lambda t} - S(a)e^{-\lambda a} .\end{equation}
%Solving for $S(t)$, we factor out $e^{-\lambda}$ which gives
%\begin{equation}\label{56} 0 \geq e^{-\lambda}(S(t)e^{t} - S(a)e^{a}) .\end{equation}
Isolating $S(t)$ offers the desired result,
\begin{equation} S(t)\leq S(a) e^{\lambda (t-a)}.\end{equation}
This completes the proof of Part A. \\

% Part B
\emph{Proof of Part B.}\\
Let S be a differentiable function on [a,b] where $\lambda >0$ and $M_{1} >0$ are constants.
Then for part B, we suppose
\begin{equation} S'(t)+\lambda S(t) \leq M_{1}, \hspace{.6cm} a\geq t\geq b, \hspace{.3cm} \mbox{is satisfied.}\end{equation}
Rearranging we have,
\begin{equation}\label{moo} 0 \geq [S'(t)+\lambda S(t) - M_{1}] .\end{equation}
Again, this is similar to an ODE, so we multiply both sides of the above by the integrating factor $e^{\lambda t}$.
This gives us,
\begin{equation}\label{pab} 0 \geq e^{\lambda t}[S'(t) + \lambda S(t) - M_{1}]. \end{equation}
Note that the right hand side of (\ref{pab}) is
\begin{equation}\label{mom2} \frac{d}{dt} [S(t)e^{\lambda t} - \frac{M_{1}}{\lambda}e^{\lambda t}]. \end{equation}
Thus we can rewrite (\ref{pab}) as
\begin{equation}\label{keira} 0 \geq \frac{d}{dt} [S(t)e^{\lambda t} - \frac{M_{1}}{\lambda}e^{\lambda t}].\end{equation}
We now form the definite integral from $a$ to $t$ on each side of (\ref{keira}),
\begin{equation}\label{99} \int_{a}^{t} 0 \geq \int_{a}^{t}\frac{d}{dt} [S(t)e^{\lambda t} - \frac{M_{1}}{\lambda}e^{\lambda t}]dt. \end{equation}
Evaluating the definite integrals in (\ref{99}), we obtain,
\begin{equation}\label{24} 0 \geq (S(t) -\frac{M_{1}}{\lambda})e^{\lambda t} - (S(a)-\frac{M_{1}}{\lambda})e^{\lambda a}.\end{equation}
%Simplifying (\ref{24}) have,
%\begin{equation} (S(t)-\frac{M_{1}}{\lambda})e^{\lambda t} \leq (S(a)-\frac{M_{1}}{\lambda})e^{\lambda a}\end{equation}
Isolating $S(t)$ gives the desired result,
\begin{equation} S(t)\leq \frac{M_{1}}{\lambda}+(S(a)-\frac{M_{1}}{\lambda})e^{\lambda (a-t)}. \end{equation}
This completes the proof of part B.

% Part C
\emph{Proof of Part C.}\\
Let S be a differentiable function on [a,b] where $\lambda >0$, $M_{1} >0$, and $M_{2}>0$ are constants.
Then for part C, we suppose,
\begin{equation}\label{333} S'(t) \leq (M_{1} + M_{2}e^{\lambda t})S(t), \hspace{.60cm} a\leq t\leq b \hspace{.3cm} \mbox{is satisfied.} \end{equation}
Rearranging (\ref{333}) we have,
\begin{equation}\label{alice} 0 \geq S'(t)-(M_{1}+M_{2}e^{\lambda t})S(t).\end{equation}
Multiplying both sides of (\ref{alice}) by the integrating factor $e^{-(M_{1}t+ \frac{M_{2}}{\lambda} e^{\lambda t})}$ we have,
\begin{equation}\label{chain} 0\geq e^{-{(M_{1}t+ \frac{M_{2}}{\lambda} e^{\lambda t)}}}[S'(t) -(M_{1} + M_{2}e^{\lambda t})S(t)] \end{equation}
Note that the right hand side of (\ref{chain}) is the derivative of the product
\begin{equation}\label{deriv} [ e^{-{(M_{1} t+\frac{M_{2}}{\lambda}e^{\lambda t})}}S(t)] .\end{equation}
Thus we can rewrite (\ref{chain}) as
\begin{equation}\label{408} 0 \geq \frac{d}{dt} [ e^{-{(M_{1} t+\frac{M_{2}}{\lambda}e^{\lambda t})}}S(t) ] .\end{equation}
We now form the definite integral from $a$ to $t$ on each side of (\ref{408}) to obtain
\begin{equation}\label{408} \int_{a}^{t} 0 \geq \int_{a}^{t}\frac{d}{dt} [ e^{-{(M_{1} t+\frac{M_{2}}{\lambda}e^{\lambda t})}}S(t)]dt\ .\end{equation}
Evaluating both integrands gives us
\begin{equation} 0 \geq [e^{-{(M_{1} t+\frac{M_{2}}{\lambda}e^{\lambda t})}}S(t)] - [e^{-{(M_{1} a+\frac{M_{2}}{\lambda}e^{\lambda a})}}S(a)] .\end{equation}
Isolating $S(t)$ offers the desired result,
\begin{equation}\label{partbb} S(t) \leq S(a)e^{M_{1}(t-a)+\frac{M_{2}}{\lambda}(e^{\lambda t}- e^{\lambda a})}. \end{equation}
This completes the proof of Lemma 4 Part C. \\
 

FAQ: Bounded Solution For Differential Inequality

What is a bounded solution for a differential inequality?

A bounded solution for a differential inequality is a solution that remains within a certain range or bound, rather than growing infinitely. This means that the solution is limited and does not exceed a certain value.

Why is it important to find bounded solutions for differential inequalities?

Finding bounded solutions for differential inequalities is important because it allows us to determine the stability of a system. A bounded solution indicates that the system will not grow out of control, which is crucial for understanding and predicting the behavior of real-world systems.

How do you determine if a solution to a differential inequality is bounded?

To determine if a solution to a differential inequality is bounded, we can use the definition of a bounded function. If the solution is continuous and its absolute value remains less than or equal to a constant, then it is bounded.

What are the applications of bounded solutions for differential inequalities?

Bounded solutions for differential inequalities have many practical applications, such as in physics, engineering, and economics. They can be used to model and analyze the behavior of systems, predict future outcomes, and make decisions based on the stability of a system.

Are there any limitations to finding bounded solutions for differential inequalities?

Yes, there are some limitations to finding bounded solutions for differential inequalities. In some cases, it may be difficult to determine if a solution is bounded, and in others, it may not be possible to find a bounded solution at all. Additionally, the assumptions and simplifications made in the modeling process may not accurately reflect the real-world system, leading to inaccuracies in the bounded solution.

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