Picard's Iteration: Solving dy/dx=y^2

  • Thread starter heman
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In summary, the conversation discusses the problem of finding the solution to the initial value problem dy/dx=y^2 with initial condition y(0)=1. The initial value problem can be solved using Picard's iteration, which involves converting it into an integral equation and using iteration to find the solution. The conversation also mentions the use of separation of variables, but emphasizes that the solution should be found using Picard's iteration.
  • #1
heman
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Sorry for making another thread,but this problem is really penetrating for me!

dy/dx=y^2 with initial condition y(0)=1

I have reached upto
5/9 + 4/9((1+x) + (1+x)^4/4 + (1+x)^7/7 + ...)
And ahead of that i have no clue,!
 
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  • #2
That one's actually pretty easy: just use separation of variables.
 
  • #3
the question has to be done by Picard's iteration,not by separation of variables!
 
  • #4
Is this really penetrating question!
 
  • #5
WHY do you have it in terms of (1+ x) ? Your initial value is given at x= 0.

For those of you who don't know, Picard's iteration is this:

Given the intial value problem, y'= f(x,y), y(x0)= y0, imagine that we know y as a function of x and integrate both sides:
[tex]y(x)= y_0+ \int_{x_0}^x f(t,y(t))dt[/tex]
The initial value problem has a solution if and only if that integral equation has a solution. The integral equation can be thought of as a "fixed value" problem and, since Banach's fixed value theorem holds (see thread on "existance and uniqueness"), we can do it by iteration. Let Y be any function. The constant y(x)= y_0 works nicely. Plug that into the righthand side and integrate. Use the value of y(x) you get to repeat.

In this case, the initial value problem is y'= y2, y(0)= 1. That converts to the integral equation [itex]y(x)= 1+ \int_0^x (y(t))^2 dt[/itex].

Taking y(t)= 1 we get the new solution
[tex]y(x)= 1+ \int_0^x (1)^2 dt= 1+ x[/tex].
Taking y(t)= 1+ t, we get
[tex]y(x)= 1+ \int_0^x(1+ t)^2 dt= 1+ x+ x^2+ (1/3)x^3[/tex].
Continue until you think you see a pattern (or until you are exhausted).
 
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1. What is Picard's Iteration?

Picard's Iteration is a numerical method used to solve differential equations. It involves breaking down the problem into smaller, simpler steps and repeating them until a solution is reached.

2. How does Picard's Iteration work?

Picard's Iteration starts with an initial guess for the solution of the differential equation. This guess is then used to calculate a new guess, and the process is repeated until the solution converges to a certain accuracy.

3. What is the significance of dy/dx=y^2 in Picard's Iteration?

dy/dx=y^2 is the differential equation that is being solved using Picard's Iteration. This equation represents a first-order nonlinear ordinary differential equation, where the derivative of the dependent variable (y) is equal to its squared value.

4. When is Picard's Iteration used?

Picard's Iteration is typically used when analytical solutions to differential equations are not possible or are too complex to find. It is also useful for verifying the results of other numerical methods.

5. What are the limitations of Picard's Iteration?

Picard's Iteration may not always converge, especially for equations with certain types of nonlinearity. It also requires a good initial guess for the solution, which can be difficult to obtain for some problems. Additionally, it can be computationally intensive for complex problems.

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