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Let Missing \left or extra \right be a sequence of real numbers. Hence, we can also say that Missing \left or extra \right is a sequence of constant (degenerate) random variables. Let a be a real number. Show that ana is equivalent to anPa

Short Answer

Expert verified
If an is a sequence of constant random variables such that an deterministically converges to 'a', it also stochastically converges to 'a'. This means that ana is equivalent to anPa.

Step by step solution

01

Define deterministic convergence

In the deterministic case, ana means that as n goes to infinity, an approaches 'a'. Formally, for every positive ϵ, there exists an integer N such that for every n larger than N, the absolute value of the difference between an and 'a' is less than ϵ.
02

Define stochastic convergence

In the stochastic case, the convergence in probability of the sequence an towards 'a', written as anPa, means that the probability of this sequence deviating from 'a' by more than an arbitrarily-small ϵ tends to zero as n tends to infinity. Formally, for every positive ϵ, the limit as n goes to infinity of the probability of the absolute value of the difference between an and 'a' being greater than ϵ, is zero.
03

Show equivalence

We can see that the definitions are equivalent as long as we think of an as a constant random variable that always equals the real number an. This means that the probability of an deviating from 'a' by any positive number ϵ is either 0 or 1: it's 0 if an is within ϵ of 'a', and 1 otherwise. Thus, when an deterministically converges to 'a', it also stochastically converges to 'a', because the probability that an deviates from 'a' by more than ϵ (which is always 0 or 1) goes to zero, as required. Vice versa, if an stochastically converges to 'a', it means that for every positive ϵ, an will eventually be within ϵ of 'a' with probability 1, which translates to an deterministically converging to 'a'.

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