Need help with non-linear ODE IVP

In summary, the given equation can be simplified by substituting u=y^(2) and then rearranging the terms to get it in the form of y' + g(x)y = b(x).
  • #1
thelannonmonk
7
0

Homework Statement


given: (y-xy)y' = y^(2) + 1 y(0)=0



Homework Equations



So I subbed y^(2) = u



The Attempt at a Solution



w/ u=y^(2) i got...

(y-xy)y' = y^(2) + 1
(1-x)yy' = y^(2)
(1-x)(u'/2) = u + 1

and it is here that I am stuck! I [think] I have to put it into the form u' + g(x)*y = b(x) but I can't do it! It is driving me crazy, I have been working on this single problem for over an hour, I am about to lose my sanity, especially since it's ALGEBRA that's tripping me up.

Any help would be greatly appreciated.

I was thinking of trying u = (y^(2) + 1) but I feel like that's leading me to nowhere as well.

Thanks in advance
 
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  • #2
.

I understand your frustration and I am here to help. Let's take a step back and look at the problem again. We have the equation (y-xy)y' = y^(2) + 1 with the initial condition y(0)=0. You have correctly substituted u=y^(2) to simplify the equation, but let's continue from there.

(1-x)(u'/2) = u + 1

First, let's expand the left side:

u'/2 - xu'/2 = u + 1

Now, let's move all terms involving u' to one side and all other terms to the other side:

u'/2 - u = xu'/2 + 1

Next, let's group the terms with u' together and factor out u':

u'(1/2 - x) = u + 2

Now, we can divide both sides by (1/2 - x):

u' = (u + 2)/(1/2 - x)

Finally, we can substitute back in u=y^(2):

y' = (y^(2) + 2)/(1/2 - x)

We now have the equation in the form y' + g(x)y = b(x), where g(x) = 1/(1/2 - x) and b(x) = (y^(2) + 2)/(1/2 - x). We can now use the method of integrating factors to solve for y. I hope this helps! Let me know if you have any further questions.
 

FAQ: Need help with non-linear ODE IVP

1. What is a non-linear ODE IVP?

A non-linear ODE IVP (ordinary differential equation initial value problem) is a type of mathematical problem that involves finding a function that satisfies a given equation and a set of initial conditions. Non-linear ODEs are equations that involve non-linear terms, meaning that the dependent variable appears raised to a power or multiplied by other variables. The IVP part refers to the fact that the problem includes initial conditions, which are values of the function at a specific point.

2. How do you solve a non-linear ODE IVP?

The most common method for solving non-linear ODE IVPs is through numerical methods, such as Euler's method or Runge-Kutta methods. These methods involve breaking the problem down into smaller steps and using iterative calculations to approximate the solution. Another approach is to use analytical techniques, such as separation of variables or substitution, but these methods may not always be possible or easy to use for non-linear equations.

3. What are some applications of non-linear ODE IVPs?

Non-linear ODE IVPs are used in many fields of science and engineering, including physics, chemistry, biology, and economics. They are particularly useful for modeling systems that exhibit non-linear behavior, such as population growth, chemical reactions, and electrical circuits. They can also be used to predict the behavior of systems under different conditions and to optimize processes.

4. Can non-linear ODE IVPs have multiple solutions?

Yes, non-linear ODE IVPs can have multiple solutions. This is because the non-linear terms in the equation can lead to non-unique solutions. In some cases, the problem may have infinitely many solutions, while in others, there may be a finite number of solutions. It is important to carefully consider the initial conditions and the behavior of the system in order to determine which solution is the most appropriate.

5. What are the challenges of solving non-linear ODE IVPs?

Solving non-linear ODE IVPs can be challenging due to the complexity of the equations and the potential for multiple solutions. It can also be difficult to find analytical solutions for non-linear ODEs, leading to the need for numerical methods. Additionally, the behavior of non-linear systems can be unpredictable, making it challenging to accurately model and solve these types of problems.

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