Linear stochastic differential equation
Consider linear SDE process.
Here, are constant.
The ODE for this process,
eq(2)
Here, represents , and represents .
We write the independent solutions for this ODE after geometric Brownian motion.
are the solution of quadratic equation.
We define the result of differentiating as
Eq(2) has fixed singular point at , so we can apply Frobenius method.
Therefore are polynomial of , and constant part is 1.
The coefficients of only depend to "k", the differentiating result by k is O(1/k).
We transform the equation like Sturm-Liouville equation in the same way as geometric Brownian motion,
Here,
The independent solutions which satisfy boundary condition are
In x<,
In x>,
Solve the Green function in the same way as geometric Brownian motion
In x<
In x>
Here,
in x> g(x) is
The characteristi function of first passage time is
Substitute ,
Here,
When is large,