in probability what does E[|X|] mean? I know that |X| means cardinality but what does |X| mean when we use it in sense of probability?
Isn't that random variable ?
sorry I mean absolute value instead of cardinality in the original question****
yes X is a random variable but when we use perpendicular bars | | in E[|X|] then what does it mean?
That is the absolute value of the random variable for expectation that is E..
OK @waterineyes Also, in martingale when we use E[X_n+1 || F_n] = X_n then the two perpendicular bars || denotes conditional probability or what?
Conditional Probability is shown by one bar only I think.. Like this : \[P(A|B)\]
yeah that I know but when we use || then what does it mean?
This is sign for Absolute Value...
Suppose : |x| = 5y + 6 So here, to eliminate bars from x: There will form two equations: |x| = 5y + 6 gives x = 5y + 6 as first equation.. |x| = 5y + 6 gives -x = 5y + 6 as second equation...
I do understand the concept of absolute value but I don't understand the meaning of || in ecepectation
I am explaining it in terms of math.. But in probability the concept is same..
In that link read the column named "INEQUALITY"
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