Solving for \pi_{H} and \pi_{L} in Limit Case

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kayhm
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Is there a way to solve for [tex]\pi_{H}[/tex] and [tex]\pi_{L}[/tex] which are probabilities when:

[tex]\pi_{H}[/tex] N[tex]_{H}[/tex] + [tex]\pi_{L}[/tex] N[tex]_{L}[/tex] = 1
(1 - [tex]\pi_{H}[/tex])[tex]^{M-1}[/tex] y[tex]_{H}[/tex] = k
(1 - [tex]\pi_{L}[/tex])[tex]^{M-1}[/tex] y[tex]_{L}[/tex] = k

It s ok to solve it for the limit case as N[tex]_{H}[/tex], N[tex]_{L}[/tex], and M go to infinity.
 
on Phys.org
leave alone solving it , i do not even understand the symbols in the question

can anyone explain to me what they are?
 
His notation is godawful but I think he wants to solve

AN^H + BN^L = 1
(1-A)^(M-1)Y^H = k
(1-B)^(M-1)Y^L = k

for A and B. And he's writing pi_h for A and pi_L for B

In this case the solution is obvious:
A =1 - (kY^-H)^1/(M-1)
B =1 - (kY^-L)^1/(M-1)
And the first equation must still be true meaning there is some kind of constraint on k, Y, H, M and L, and N whatever the heck those are.
 
Given two equations don't look too hard to solve, so why not give it a try?
 
Sorry. i fixed the notations to an easier to see format.

kayhm said:
Is there a way to solve for A and B which are probabilities when:

AN + BL = 1
(1 - A)^(M-1) x = k
(1 - B)^(M-1) y = k

It s ok to solve it for the limit case as N, L, and M go to infinity.