Non Linear ODE whose solution is can be viewed as a cumulative distribution function

In summary, it is possible to explicitly solve for the CDF, PDF, moment or probability generating functions, and the inverse function of the CDF using the Incomplete Beta Function.
  • #1
Jeff.N
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Let X be continuous a random variable who's support is the entire real line and who's cumulative distribution function satisfies the initial value problem

F'(x)=s[itex]\cdot[/itex]F(x)a[itex]\cdot[/itex](1-F(x))b
F(m)=1/2

note that a>0, b>0, s>0 and m is real. m is the median of the distribution,


Is it possible to explicitly solve for the CDF, F(x), the PDF f(x)=F'(x), the moment or probability generating functions for X, and/or the inverse function of the CDF
 
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  • #2


Jeff.N said:
Let X be continuous a random variable who's support is the entire real line and who's cumulative distribution function satisfies the initial value problem

F'(x)=s[itex]\cdot[/itex]F(x)a[itex]\cdot[/itex](1-F(x))b
F(m)=1/2

note that a>0, b>0, s>0 and m is real. m is the median of the distribution,


Is it possible to explicitly solve for the CDF, F(x), the PDF f(x)=F'(x), the moment or probability generating functions for X, and/or the inverse function of the CDF

It is possible to solve the ODE. The result is x as a function of F thanks to the Incomplete Beta Function. Then F(x) is the inverse function.
 

Related to Non Linear ODE whose solution is can be viewed as a cumulative distribution function

1. What is a non-linear ODE?

A non-linear ODE (ordinary differential equation) is an equation that involves derivatives of an unknown function with respect to one or more independent variables, where the function itself appears in a non-linear form.

2. What is a cumulative distribution function (CDF)?

A cumulative distribution function is a function that maps the probability of a random variable being less than or equal to a certain value. It is used to describe the probability distribution of a continuous random variable.

3. How can a non-linear ODE have a solution that is a cumulative distribution function?

In some cases, a non-linear ODE can be transformed into a first-order linear ODE, which has a solution in the form of a cumulative distribution function. This transformation can be done using various techniques such as change of variables or substitution.

4. What is the significance of a solution to a non-linear ODE being a cumulative distribution function?

A solution in the form of a cumulative distribution function allows us to model and analyze various real-world phenomena, such as population growth, economics, and physical systems. It also provides insights into the behavior and characteristics of the underlying system.

5. What are some examples of non-linear ODEs whose solutions can be viewed as cumulative distribution functions?

Some examples include the logistic differential equation, which describes population growth, and the Black-Scholes equation, which is used in finance to model stock prices. Other examples can be found in physics, chemistry, and biology.

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