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

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Discussion Overview

The discussion centers on solving for the probabilities \(\pi_{H}\) and \(\pi_{L}\) in a mathematical context involving equations that relate these probabilities to other variables. The scope includes mathematical reasoning and potential limit cases as certain parameters approach infinity.

Discussion Character

  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents a set of equations involving \(\pi_{H}\) and \(\pi_{L}\) and asks if they can be solved in the limit as \(N_{H}\), \(N_{L}\), and \(M\) approach infinity.
  • Another participant expresses confusion regarding the notation and symbols used in the original question, seeking clarification.
  • A third participant interprets the notation and reformulates the equations, suggesting that the solution for \(A\) and \(B\) (representing \(\pi_{H}\) and \(\pi_{L}\)) can be derived, but notes that a constraint on the variables exists.
  • One participant encourages experimentation with the equations, implying that they may not be overly complex to solve.
  • The original poster revises the notation for clarity and reiterates the question about solving for \(A\) and \(B\) in the limit case.

Areas of Agreement / Disagreement

Participants express varying levels of understanding regarding the notation and the equations. While some attempt to clarify and reformulate the problem, there is no consensus on the solution or the interpretation of the equations.

Contextual Notes

There are unresolved issues regarding the definitions of the variables involved, and the implications of the limit case as parameters approach infinity are not fully explored.

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

\pi_{H} N_{H} + \pi_{L} N_{L} = 1
(1 - \pi_{H})^{M-1} y_{H} = k
(1 - \pi_{L})^{M-1} y_{L} = k

It s ok to solve it for the limit case as N_{H}, N_{L}, and M go to infinity.
 
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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.
 

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