1. Limited time only! Sign up for a free 30min personal tutor trial with Chegg Tutors
    Dismiss Notice
Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Homework Help: Understanding [itex]P(\bigcap_{i=1}^n A_i) = \prod_{i=1}^n P(A_i) [/itex]

  1. Jul 31, 2012 #1
    My goal: Understand [itex]P(\bigcap_{i=1}^n A_i) = \prod_{i=1}^n P(A_i) [/itex].

    My current understanding:

    It wasn't defined in my lecture slides what [itex]A_i[/itex] exactly was, but I'm guessing that it's to be an event as that's how it's been defined everywhere else.

    So, let A be an event (in this case, the outcome of 1 fair coin flip), and [itex]\Omega[/itex] be the state space.

    We clearly have [itex]\Omega = \{H,T\}[/itex] and the [itex]\sigma[/itex]-algebra as [itex]\bf{F} = \{\{\},\Omega,\{H\},\{T\}\}[/itex].

    [itex]\{H\},\{T\}[/itex] are the only two events, so denote them [itex]A_1 = \{H\}[/itex] and [itex]A_2 = \{T\}[/itex].

    We then have [itex]\bigcap_{i=1}^2 A_i = \{ \}[/itex] [itex]\Rightarrow[/itex] [itex]\prod_{i=1}^2 P(A_i) = P(\{ \}) = 0[/itex]. Yet this is clearly incorrect as [itex]\prod_{i=1}^2 P(A_i) = P(\{H\})*P(\{T\}) = 0.25[/itex]


    Now, I understand that this is to be applied to problems like ""You flip 2 fair coins, what's the probability that you get 2 heads"", then you multiply 0.5*0.5. But I'm really confused because [itex]A_i[/itex] was referred to throughout this whole lecture as constituting all the events that are elements of a relevant sigma-algebra.

    What am I missing?
  2. jcsd
  3. Jul 31, 2012 #2


    User Avatar
    Science Advisor

    Hi operationres. That relationship only applies to independent events.
  4. Jul 31, 2012 #3


    User Avatar
    Science Advisor

    One way we can think about this is to rearrange the conditional probability formula (see your other recent post) as,
    [tex]P(B \cap A) = P(A) P(B|A)[/tex].

    Now if A and B are independent events then [itex]P(B|A) = P(B)[/itex], giving this result,

    [tex]P(B \cap A) = P(A) P(B)[/tex].
  5. Jul 31, 2012 #4
    Thanks, I completely understand now.
  6. Jul 31, 2012 #5

    Ray Vickson

    User Avatar
    Science Advisor
    Homework Helper

    The result stated applies only to independent events, and whether or not two events are independent depends on the nature of the probability measure P. In your coin example, we could define a probability measure P such that P{H} = 1, P{T} = 0, etc. Now we would have P{A & B} = P{A}*P{B} for all elements A and B of {{},Ω, {H}, {T}}. Of course, that probability measure does not look very useful; in practice, it would apply to a two-headed coin.

Share this great discussion with others via Reddit, Google+, Twitter, or Facebook