Solving ODE for $\sigma$: Transformation and Manipulation?

In summary, the conversation is about finding a transformation or manipulation to obtain an ODE for the quantity \sigma=U(\xi)+V(\xi) from the given ODE \frac{d^{3}\psi}{d\xi^{3}}-A\left(\psi+\xi\frac{d\psi}{d\xi}\right)=0. One possible solution suggested is to use the transformation t=A*x²/2 and let y(x)=f(x)*exp(A*x²/2) and z=x*sqrt(A/2) which leads to a solution of erf(z) for V.
  • #1
Juggler123
83
0
Hi all,

I have an ODE of the form

[itex]\frac{d^{3}\psi}{d\xi^{3}}-A\left(\psi+\xi\frac{d\psi}{d\xi}\right)=0,[/itex]

where [itex]\psi=C_{1}U(\xi)+C_{2}V(\xi).[/itex]

Is there any transformation or inventive manipulation I can use here to obtain an ODE for [itex]\sigma=U(\xi)+V(\xi)[/itex]? As this is the quantity I would like to solve for.

Thanks.
 
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  • #2
Hi !
y''(x)-A(y(x)+x*y'(x))=0
Let t=A*x²/2
Then a first solution is easy to see :
U=exp(t)=exp(A*x²/2)
Let y(x)=f(x)*exp(A*x²/2) and z=x*sqrt(A/2)
leading to an ODE which a solution is erf(z)
V= erf(x*sqrt(A/2))*exp(A*x²/2)
 

1. What is an ODE and why is it important in scientific research?

An ODE (Ordinary Differential Equation) is a mathematical equation that describes the relationship between a dependent variable and its derivatives with respect to independent variables. It is important in scientific research because many natural phenomena can be modeled using ODEs, allowing scientists to make predictions and understand complex systems.

2. How can we solve ODEs for $\sigma$?

There are several methods for solving ODEs for $\sigma$, including analytical methods such as separation of variables and numerical methods such as Euler's method. The choice of method depends on the complexity of the ODE and the desired level of accuracy.

3. What is the process of transformation in solving ODEs for $\sigma$?

The process of transformation involves manipulating the ODE to transform it into a more manageable form, often by changing the variables or using algebraic operations. This can make it easier to apply analytical or numerical methods to solve the ODE for $\sigma$.

4. How can we manipulate ODEs to make them solvable for $\sigma$?

ODEs can be manipulated using various techniques such as substitution, integration, and series expansion. These techniques can help simplify the ODE and make it solvable for $\sigma$.

5. What are some real-world applications of solving ODEs for $\sigma$?

Solving ODEs for $\sigma$ has many applications in various fields such as physics, chemistry, engineering, and biology. For example, ODEs are used to model population growth, chemical reactions, and the motion of objects under the influence of forces. They are also used in control systems and in predicting the behavior of complex systems such as weather patterns.

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