Limit definition and infinitely often

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adnaps1
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Limit definition and "infinitely often"

If we have a sequence of real numbers [itex]x_{n}[/itex] converging to [itex]x[/itex], that means [itex]\forall \epsilon > 0, \exists N[/itex] such that [itex]|x_n - x| < \epsilon, \forall n \geq N.[/itex]

So, can we say [itex]P (|x_n - x| < \epsilon \ i.o.) = 1[/itex] because for [itex]n \geq N[/itex], [itex]|x_n - x| < \epsilon[/itex] always holds?
 
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adnaps1 said:
So, can we say [itex]P (|x_n - x| < \epsilon \ i.o.) = 1[/itex]

Is that notation suppose to denote a probability? It doesn't define a probability until you establish a scenario that specifies at least one random variable and its probability distribution. Are you thinking of "picking an x_i at random"? Or did you mean the [itex]x_i[/itex] to be a sequence of real valued random variables instead of a sequence of real numbers? (If the [itex]x_i[/itex] are random variables, you have to use a different definition of limit than the one you gave.)
 


Yes, the notation [itex]P(\cdot)[/itex] was supposed to denote a probability, and I want the [itex]x_i[/itex] to be a sequence of real numbers, not random variables. But I understand what you're saying. I cannot talk about probabilities without having a random variable.