Implicit function / Separable ODE

In summary, the conversation discusses the importance of the point where G(y) is not defined when solving a separable ODE. It is usually important because it corresponds to the singular points of G(y) and can result in special solutions of the original equation. The conversation also mentions that the solution may not be unique in the case of a singular point.
  • #1
Ted Burgess
5
0
Hi,

The final step of solving a separable ODE is to find a function, f, defined implicitly by a relation

G(y) = H(x).

Say G(y) isn't defined at y = a and H(x) isn't defined at x = b, it appears to me that when rearranging such a relation to put y in terms of x, the point at which G(y) isn't defined isn't 'important' because it doesn't correspond to a point where y = f(x) is defined anyway.

Is this the case and if so, why?

Example

H(y) = G(x) = 1 / (y-1) = x
H(y) defined for all real values except y = 0
G(x) defined for all real values.

Rearrangement gives,

y = f(x) = 1 + 1 / x

and no value of x will solve f(x) = 1

Cheers
 
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  • #2
The point where G(y) is not defined is usually important. This is because you get G(y) by integrating some g(y), which is typically made by dividing some f(y), originally on the left, by h(y), originally on the right. And h(y) = 0 may well correspond to the singular points of G(y). What needs to be done is research whether h(y) results in any special solutions of the original equation (which is significantly simplified in this case). For example:

y' = y^2 => y'/y^2 = 1 => -1/y = t + C => y = -1/(t + C) (*)

However, y^2 = 0 => y = 0, which is a singular solution not given by (*).
 
  • #3
Thanks very much for your response but, to use your example, suppose the original differential equation is

y' / y^2 = 1 instead of y' = y^2

what I'm wanting to find out is why the rearranged solution of y' / y^2 doesn't seem to go through the singular point of 1 / y^2

Thanks
 
  • #4
Because the function on the right would have to be infinite. In our example, C has to be infinite, or the independent variable has to be infinite. Among other things, that means that the solution is not unique (it is satisfied for any initial value of x). The loss of uniqueness is the more general property of singular solutions. For example, y'^2 = 4y => y = (x + c)^2. There are no infinities involved, however at x = -c all the solutions go through y = 0, which is a singular solution as well. In this case, by the way, no constant of integration can be manipulated to obtain the singular solution.
 

Related to Implicit function / Separable ODE

1. What is an implicit function?

An implicit function is a mathematical expression in which one variable cannot be explicitly defined in terms of the other variables. This means that the relationship between the variables is not directly stated, but rather implied by the equation.

2. What is a separable ODE?

A separable ODE (Ordinary Differential Equation) is a type of differential equation in which the dependent and independent variables can be separated into two distinct functions. This allows for the equation to be solved by integrating both sides separately.

3. How do you solve an implicit function?

To solve an implicit function, you must first rearrange the equation so that all instances of the dependent variable are on one side and all instances of the independent variable are on the other. Then, you can solve for the dependent variable using algebraic techniques or by using numerical methods.

4. Can a separable ODE always be solved analytically?

No, not all separable ODEs can be solved analytically. Some may require numerical methods or a combination of analytical and numerical techniques to find a solution.

5. What is the significance of implicit functions and separable ODEs in science?

Implicit functions and separable ODEs are important in science because they allow us to model and understand complex relationships between variables. They are used in many fields, including physics, chemistry, biology, and engineering, to describe natural phenomena and make predictions about their behavior.

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