How do I correctly prove the memoryless property of a geometric distribution?

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In summary, the conversation discusses using a geometric distribution to show that P(x>=k+j|x>=k) is equal to P(x>=j) where k and j are nonnegative integers. The conversation also identifies an error in the attempted solution and suggests using the fact that (1-p)^j is equal to P(x>=j) to correct it.
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Homework Statement



Let X have a geometric distribution. Show that

P(x>or= k+j|x>or=k) = P(X>or=j)

where k and j are nonnegative integers.

The Attempt at a Solution



P(x>or= k+j|x>or=k) = P(x>or= k+j intersect x>or=k)/P(x>or=k) = P(x>or=k+j)/P(x>or=k) for j>or= 0 = [1-P(x=k+j)]/[1-P(x=k)] = [1 - p(1-p)^(k+j)]/[1-p(1-p)^k] = [1-p(1-p)^k(1-p)^j]/[1-p(1-p)^k] = (1-p)^j which is equal to P(x>or=j) if it had another p so that it was p(1-p)^j...so where am I losing this p in my proof?
 
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= [1-P(x=k+j)]/[1-P(x=k)]

That's an error. It should be = [1-P(x<k+j)]/[1-P(x<k)]. However, don't do it this way.

= [1-p(1-p)^k(1-p)^j]/[1-p(1-p)^k] = (1-p)^j

That's an algebra error. Are you saying (a+bcd)/(a+bc) would be equal to d? It isn't.

(1-p)^j which is equal to P(x>or=j)

This is right, and it is the key. Since you know this, you should go back and use this same idea in the expression P(x>or=k+j)/P(x>or=k).
 

What is the memoryless property?

The memoryless property, also known as the Markov property, is a mathematical concept that describes a process where the future behavior of a system or variable is independent of its past behavior. This means that the probability of a future event occurring is not affected by the sequence of past events.

Why is the memoryless property important?

The memoryless property is important because it allows us to model and analyze various systems and processes more easily. It simplifies calculations and allows for more accurate predictions of future events.

How is the memoryless property proven?

To prove the memoryless property, we need to show that the probability of a future event occurring is equal to the probability of that same event occurring in the present. This can be done using mathematical proofs and statistical analysis.

What are some real-world examples of the memoryless property?

The memoryless property can be observed in various natural and man-made systems, such as radioactive decay, queueing systems, and stock market fluctuations. In these examples, the future behavior of the system is not affected by past events.

What are the limitations of the memoryless property?

The memoryless property is not applicable to all systems and processes. It assumes that events are independent of each other and that there is no external influence affecting the system. In reality, there may be factors that can impact the behavior of a system, making the memoryless property an oversimplification.

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