Asymptotic Behavior of Solutions to Linear Equations

In summary: Q(x)|\leq k for x\geq x_{0}. Therefore, we can write:|e^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt| \leq e^{-ax}\int^{x}_{x_{0}}e^{at}|Q(t)|dt \leq e^{-ax}\int^{x}_{x_{0}}e^{at}kdt= \frac{k}{a}[e^{ax}-e^{ax_{0}}]Substituting this into the previous inequality, we get:|y(x)| \leq |y(x_{0})|e^{-a(x
  • #1
Xyius
508
4
That is the title to the problem I am stuck on. Here is what it says..

Consider the equation,

[tex]\frac{dy}{dx} + ay = Q(x)[/tex]

where a is positive and Q(x) is continuous on [tex][0,\infty ],[/tex]

Show that the general solution to the above equation can be written as..
[tex]y(x) = y(x_{0})e^{-a(x-x_{0})}+e^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt[/tex]

Where [tex]x_{0}[/tex] is a non-negative constant
------------------------------------------------------------------------
This part is easy, I just differentiated y(x) and plugged it into the equation. My real struggle is in the next part.
------------------------------------------------------------------------
If [tex]|Q(x)|\leq k for x\geq x_{0}[/tex] where k and [tex]x_{0}[/tex] are non-negative constante, show that..

[tex]|y(x)|\leq |y(x_{0})|e^{-a(x-x_{0})}+\frac{k}{a}[1-e^{-a(x-x_{0})}], for x\geq x_{0}[/tex]
------------------------------------------------------------------------
The only thing I can come up with at the moment is plugging in the expression for y(x) and using the triangle inequality. I don't know where it would lead me though..
 
Physics news on Phys.org
  • #2


Thank you for posting your question. I am a scientist and I would be happy to help you with this problem.

To begin, let's start with the general solution that you have already derived:

y(x) = y(x_{0})e^{-a(x-x_{0})}+e^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt

To show that this solution satisfies the given equation, we can simply substitute it into the equation and see if it holds true. Let's do that now:

\frac{dy}{dx} + ay = \frac{d}{dx}[y(x_{0})e^{-a(x-x_{0})}+e^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt] + a[y(x_{0})e^{-a(x-x_{0})}+e^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt]

= -ae^{-a(x-x_{0})}y(x_{0})+ae^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt + e^{-a(x-x_{0})}y(x_{0}) + e^{-ax}Q(x)

= ae^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt + e^{-ax}Q(x)

= Q(x)

Therefore, our general solution does satisfy the given equation.

Now, to prove the inequality |y(x)|\leq |y(x_{0})|e^{-a(x-x_{0})}+\frac{k}{a}[1-e^{-a(x-x_{0})}], we can use the triangle inequality as you mentioned. Let's start with the left side of the inequality:

|y(x)| = |y(x_{0})e^{-a(x-x_{0})}+e^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt|

\leq |y(x_{0})e^{-a(x-x_{0})}|+|e^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt|

= |y(x_{0})|e^{-a(x-x_{0})}+|e^{-ax}\int^{x}_{x_{0}}e^{at}Q(t)dt|

Now
 

1. What is the definition of asymptotic behavior?

Asymptotic behavior refers to the long-term trend or pattern exhibited by a mathematical function or system. It describes how the function or system behaves as the input variable approaches a particular value, often infinity or zero.

2. How does the asymptotic behavior of solutions to linear equations differ from other types of equations?

In linear equations, the asymptotic behavior is characterized by a constant rate of change or growth. This means that as the input variable increases or decreases, the output also changes at a constant rate. In other types of equations, such as exponential or polynomial equations, the asymptotic behavior may involve a rapid or gradual increase or decrease in the output.

3. Can the asymptotic behavior of solutions to linear equations be predicted?

Yes, the asymptotic behavior of solutions to linear equations can be predicted using techniques such as finding the slope and y-intercept of the equation or using graphical methods like slope fields. These methods allow for the identification of the long-term trend or pattern exhibited by the equation.

4. How does the initial condition affect the asymptotic behavior of solutions to linear equations?

The initial condition, or the starting value of the input variable, can greatly impact the asymptotic behavior of solutions to linear equations. For example, if the initial condition is a large positive value, the solution may exhibit a steep positive slope, whereas a small or negative initial condition may result in a relatively flat or negative slope.

5. Can the concept of asymptotic behavior be applied to real-world situations?

Yes, the concept of asymptotic behavior is commonly used in various fields such as physics, biology, and economics to model and predict the behavior of systems or phenomena. For example, in population dynamics, the asymptotic behavior of a population growth model can be used to estimate the long-term population size.

Similar threads

  • Differential Equations
Replies
5
Views
653
  • Differential Equations
Replies
3
Views
1K
  • Differential Equations
Replies
12
Views
1K
Replies
2
Views
2K
Replies
8
Views
1K
Replies
3
Views
791
  • Differential Equations
Replies
1
Views
1K
  • Differential Equations
Replies
11
Views
2K
  • Differential Equations
Replies
2
Views
1K
  • Differential Equations
Replies
3
Views
2K
Back
Top