What Is the Probability That A Survives the Duel?

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SUMMARY

The discussion focuses on calculating the probability that fighter A survives a duel against fighter B, given their respective probabilities of killing each other, denoted as p_A and p_B. The analysis involves defining the sample space Ω, which includes outcomes such as A winning, B winning, both dying, and draws. The probability that A does not die is derived using the formula P(E) = p_A(1-p_B) / (1 - r), where r = (1 - p_A)(1 - p_B). This conclusion is reached under the assumption of independence between the shots fired by A and B.

PREREQUISITES
  • Understanding of probability theory and concepts such as independence and disjoint events.
  • Familiarity with infinite series and summation techniques.
  • Basic knowledge of duel scenarios and outcome probabilities.
  • Ability to interpret mathematical notation and expressions.
NEXT STEPS
  • Study the concept of independent events in probability theory.
  • Learn about infinite geometric series and their applications in probability calculations.
  • Explore more complex duel scenarios involving multiple participants and varying probabilities.
  • Investigate the implications of different probability distributions on duel outcomes.
USEFUL FOR

This discussion is beneficial for mathematicians, statisticians, and students studying probability theory, particularly those interested in applications involving duel scenarios and survival probabilities.

quasar987
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I find the questions of this week are more difficult than usual. I am in dire need of assistance!

A and B fight in a duel. They pick up their guns and fire once at each other. A kills B with probability [itex]p_A[/itex] and B kills A with probability [itex]p_B[/itex]. If no one is killed, they repeat the process. What is...

a) The probability that A does not die


Sol:

[itex]\Omega[/itex]: Every possible outcome of the duel.

[itex]\Omega = \left\{ (A), (B), (AB), (d,A), (d,B), (d,AB), (d,d,A),..., (d,d,d,d,...)\right\}[/itex]

where A means "A wins", B measn "B wins", AB means "A and B both die" and "d" means a draw.

E: A does not die.

[itex]E_i[/itex]: The duel lasts i rounds and end up with the death of B and the survival of A.

O: Nobody ever dies, i.e. it is the case of perpetual draws.

[tex]E=\bigcup_{i=1}^{\infty}E_i \cup O[/tex]

Since these are all disjoint sets, P(E) is the sum of the probabilities, and we have

[tex]P(E_i) = [(1-p_A)(1-p_B)]^{i-1}p_A(1-p_B) \equiv r^{i-1}p_A(1-p_B)[/tex]

(I made the hypothesis of independence btw the shots, i.e. P(A and B miss) = P(A misses)P(B misses))

[tex]P(O)=\lim_{i\rightarrow \infty}[(1-p_A)(1-p_B)]^{i-1}=0[/tex]

[tex]\therefore P(E) = p_A(1-p_B)\sum_{i=0}^{\infty}r^i= \frac{p_A(1-p_B)}{1-r}[/tex]
 
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