Dynamic programming and Bellman Equation

 

We consider the following maximization problem with log utility function

 

 

subject to  and  as in 0517.

 

We have the same following two parameters

 

   on probability of p11 from state 1 to state 1 and p12 from state 2 to state 1

and

   on probability of p21 from state 1 to state 2 and p22 from state 2 to state 2

 

where we suppose that they are given and constant. Here, p12=1-p11 and p22=1-p21.

 

Then, the corresponding Bellman equations are going to be

 

and

 

We just guess

 

 and

 

That is

 

 

FOCfs w.r.t. are

 

        (*)

and

        (**)

 

Plugging (*) and (**) into Bellman equation at optimum, we get

 

 

They are

 

Comparing coefficients in each kind, we get

 

They are

So

We could simplify further as

 

 

where they are the same as before.

 

The rest is

 

 

Then

 

Plugging the latter into the former, we get

We solve out and we can say that the guess is right.

 

From (*) and (**), we have

 

and

 

 

in terms of F and H. We may simplify them further. Actually, they are

and

 

where they do not vary even though we have different probabilities.