What is the meaning of | in probability theory?

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The notation ":|:" in probability theory is not commonly used and appears to serve a similar purpose to the "|" symbol, which denotes a condition or constraint in set definitions. The expression "set X = { u 'member of' set A | u has property P}" is typically read as "such that," while in probability, the "|" signifies a conditional relationship, often interpreted as "given." The probability notation P(A | B) indicates that the probability is calculated based on the subset of outcomes contained in B, contrasting with P(A ∪ B), which considers the entire outcome space. Thus, the use of "|" is crucial for understanding the context of probabilities and the relevant sample space. The discussion highlights the importance of notation in conveying precise meanings in probability theory.
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What is the meaning of :|: ?

So how would one read the following for example...

set X = { u "member of" set A :|: u has property P}
 
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:|: seems to mean that the expression to the right is a condition. I have not seen that form - usually it is just | alone.
 
Square1 said:
What is the meaning of :|: ?

So how would one read the following for example...

set X = { u "member of" set A :|: u has property P}

Have never seen that notation before. Assuming it has the same meaning as the more usual


set X = { u "member of" set A | u has property P}

I would pronounce that "such that."
 
In probability theory, the "|" has a special meaning, not completely captured by the condition "such that". It's usually spoken as "given".

Probabilities are assigned to subsets of some space of possible outcomes. If A and B are sets in such a space then A \cap B and A | B both refer to the set of elements in A \cap B, but the probability P(A | B) tells us that probability is to be computed as if the elements of the "space of possible outcomes" are only those elements which are in B while P(A \cup B) tells us that the "space of possible outcomes" is the original space of possible outcomes.

Hence the meaning of the notation P(X) is not as simple as "P(X) means the probability of the set (or event) X". When the "|" sign is used, the P(.) notation also tells something about what is to be considered the space of possible outcomes.
 
I was reading a Bachelor thesis on Peano Arithmetic (PA). PA has the following axioms (not including the induction schema): $$\begin{align} & (A1) ~~~~ \forall x \neg (x + 1 = 0) \nonumber \\ & (A2) ~~~~ \forall xy (x + 1 =y + 1 \to x = y) \nonumber \\ & (A3) ~~~~ \forall x (x + 0 = x) \nonumber \\ & (A4) ~~~~ \forall xy (x + (y +1) = (x + y ) + 1) \nonumber \\ & (A5) ~~~~ \forall x (x \cdot 0 = 0) \nonumber \\ & (A6) ~~~~ \forall xy (x \cdot (y + 1) = (x \cdot y) + x) \nonumber...
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