Statistical Physics: Proving "if p(a)=p(b)=p then p(ab) ≤ p^2

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SUMMARY

The discussion centers on proving the statement "if P(a) = P(b) = p, then P(a ∩ b) ≤ p^2." Participants explore various scenarios, including independent and mutually exclusive events. They conclude that while the statement holds true for independent events (P(a ∩ b) = P(a) * P(b) = p^2) and mutually exclusive events (P(a ∩ b) = 0), it cannot be universally proven without additional constraints. The need for specific conditions regarding the independence of events a and b is emphasized throughout the conversation.

PREREQUISITES
  • Understanding of probability theory, specifically joint and conditional probabilities.
  • Familiarity with the concepts of independent and mutually exclusive events.
  • Knowledge of probability notation, such as P(a), P(b), and P(a ∩ b).
  • Basic comprehension of Venn diagrams and their application in probability.
NEXT STEPS
  • Research the definitions and properties of independent and mutually exclusive events in probability theory.
  • Study the implications of conditional probability and how it relates to joint probability.
  • Explore counterexamples in probability to understand when statements may not hold true.
  • Learn about the use of Venn diagrams in visualizing probabilities and their intersections.
USEFUL FOR

Students of probability theory, mathematicians, and anyone interested in understanding the complexities of joint probabilities and their relationships in statistical physics.

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How to prove this "if p(a)=p(b)=p then p(ab) ≤ p^2

Homework Equations

The Attempt at a Solution

 
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Do you know anything about p, a, or b?
 
Please provide some information about what you have already tried or methods you are familiar with so we can point you in the right direction--i.e. fill in the template.
 
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Probability of a = probability b = p
 
What does p(ab) mean? Both a and b happen? What if a is b? then p(a and b) = p(a and a) = p.
 
No Ruber

if p(a) = p(b) = p (let say some value) then prove or disprove p(a ∩ b) ≤ p^2
 
So do you know anything about a and b? Assume a = b, then p(a ∩ b) = p(a) = p ≥ p^2 .
 
nothing mention disjoint or not i need to prove this is right or not
 
  • #10
Clearly if a and b were disjoint, the probability of a and b happening together is zero which will surely be less than p.
The key here would be if a and b were independent. If they are, then you might have something to prove...otherwise, you just have 0 ≤ p(a ∩ b) ≤ p.
 
  • #11
yes i got the point if and be disjoint then p(ab) =0

let say they are not disjoint then how to prove that ?
 
  • #12
There is nothing to prove unless you know they are independent.
 
  • #13
If the events a and b are independent, then, by the definition of independence, p(a ∩ b) = p(a) p(b) = p^2.
If they are not independent, then like I said before, they can be anywhere from disjoint to completely coincident, i.e. 0≤p(a ∩ b)≤p.
Is p ≤ p^2?
 
  • #14
thing is no any hints (information) given in the question.. okay what if not ?
 
  • #15
hmm if p ≤ p^2

then p= 1 kw i don't think in that way
 
  • #16
Think of a Venn diagram with two circles representing a and b, both the same size (p). What is the maximum size of the overlapping region?
If no other information is given in the question, then you can assume that anything is possible other than what you know to be true.
If you are to prove the statement, you need to show it holds true all the time. If you are to disprove it, you just need one counterexample.
 
  • #17
So, if p can be any value between 0 and 1, you have to prove that the statement is true for all values of p, not just p=1.
I don't think you will be able to prove it to be true without more constraints or assumptions.
Can you prove that it is not true?
 
  • #18
null set
 
  • #19
If p(a∩b) = 0, then p(a∩b) ≤ p^2.
That is not a good counterexample.
Similarly, if p = 0, then p(a∩b) ≤ p^2. So, that's no good.
 
  • #20
so you trying to explain that p(null set) = 0 so its not good example is it ?
 
  • #21
rangatudugala said:
so you trying to explain that p(null set) = 0 so its not good example is it ?
Right.

If p(a) = p(b) and the problem doesn't state that a is not b, then a = b should be your first example.
Look at post 7. Assume 0<p<1 to eliminate the option for p = p^2.
 
  • #22
RUber said:
Right.

If p(a) = p(b) and the problem doesn't state that a is not b, then a = b should be your first example.
Look at post 7. Assume 0<p<1 to eliminate the option for p = p^2.
okay i think i got the answer

so
1/ if a, b mutually exclusive then p(a∩b) =0

2/ if a,b independent then p(a∩b)= p(a)*p(b) =p^2

is it ?
 
  • #23
Both of your statements 1/ and 2/ are true, but this is not a proof.
You don't know anything about a and b.
What if a and b are entirely coincident, i.e. if a then b?
 
  • #24
oh dear you confused me...
 
Last edited by a moderator:
  • #25
rangatudugala said:
How to prove this "if p(a)=p(b)=p then p(ab) ≤ p^2

Homework Equations

The Attempt at a Solution


rangatudugala said:
okay i think i got the answer

so
1/ if a, b mutually exclusive then p(a∩b) =0

2/ if a,b independent then p(a∩b)= p(a)*p(b) =p^2

is it ?

Please use different letters: use ##P(a)## and ##P(b)## for the probabilities of ##a## and ##b##, but the letter ##p## for their value; that is, you should say ##P(a) = P(b) = p##. That will avoid a lot of confusion.

Both of your examples obey ##P(a \cap b) \leq p^2##. But: are you finished? No: you have not proved that ##P(a \cap b) \leq p^2 ## for all possible cases where ##P(a) = P(b) = p##, nor have you discovered a counterexample (that is, an example where ##P(a \cap b) > p^2##).
 
  • #26
Ray Vickson said:
Please use different letters: use ##P(a)## and ##P(b)## for the probabilities of ##a## and ##b##, but the letter ##p## for their value; that is, you should say ##P(a) = P(b) = p##. That will avoid a lot of confusion.

Both of your examples obey ##P(a \cap b) \leq p^2##. But: are you finished? No: you have not proved that ##P(a \cap b) \leq p^2 ## for all possible cases where ##P(a) = P(b) = p##, nor have you discovered a counterexample (that is, an example where ##P(a \cap b) > p^2##).
okay I'm fail to prove that can you please tell me how to do that ?
 
  • #27
rangatudugala said:
okay I'm fail to prove that can you please tell me how to do that ?

No. We are not permitted to solve problems for students---we are allowed to give hints, but nothing more. (Anyway, to be honest, I cannot see how to deal with the problem right now!)
 
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  • #28
a=b satisfies the assumption for you conditional argument. Start there.
 
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  • #29
Ray Vickson said:
No. We are not permitted to solve problems for students---we are allowed to give hints, but nothing more. (Anyway, to be honest, I cannot see how to deal with the problem right now!)

Big Thanks .. I also dnt kw that's why i posted it.. its okay.. atleast we tried kw.
 
  • #30
independent
P(a/b)= P(a) ---> 1
P(b/a)= P(b) ---> 2

also P(a/b) = P(a)* P(a ∩ b) / P(b) ---> 3
P(b/a) = P(b)* P(a ∩ b) / P(a) ---> 4
 

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