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91Ó°ÊÓ

Suppose that\({X_1},{X_2}....\)is a sequence of positive integer-valued random variables. Suppose that there is a function\(f\)such that for every\(m = 1,2...\),\(\mathop {{\bf{lim}}}\limits_{{\bf{\delta x}} \in {\bf{0}}} {\bf{{\rm P}}}\left( {{{\bf{X}}_{\bf{n}}}{\bf{ = m}}} \right){\bf{ = f}}\left( {\bf{m}} \right)\),\(\sum\limits_{{\bf{m = 1}}}^{\bf{\ currency}} {{\bf{f}}\left( {\bf{m}} \right){\bf{ = 1}}} \), and\(f\left( x \right) = 0\)for every\(x\)thatis not a positive integer. Let\(F\)be the discrete c.d.f. whose p.f. is\(f\).

Prove that\({X_n}\)converges in distribution to\(F\)

Short Answer

Expert verified

\({X_n}\)converges in distribution to F

Step by step solution

01

 Step 1: Given information

\({X_1},...{X_n}\) is a sequence of positive integer valued random variables.

02

Step 2:Verifying \({X_n}\) converges in distribution to \(F\)

Let \({F_n}\) be the cdf of \({X_n}\).

We have to show that \(\mathop {\lim }\limits_{n \to \infty } {F_n}\left( x \right) = F\left( x \right)\) for every point at which F is continuous.

Since F is the cdf of the integer-valued distribution, the continuity points are all non-integer values of x together with those integer values of x to which F assigns probability 0.

It is clear that it sufficient to prove that\(\mathop {\lim }\limits_{n \to \infty } {F_n}\left( x \right) = F\left( x \right)\)for every non-interger x, because continuity of F from the right and the fact that F is non decreasing will take care of the integers with zero probability.

For each non-integer x, let \({m_x}\) be the largest integer such that m<x. Then

\(\begin{align}{F_n}\left( x \right) &= \sum\limits_{k = 1}^m {{\rm P}\left( {{X_n} = k} \right)} \\ &= \sum\limits_{k = 1}^m {f\left( k \right)} \end{align}\)

\(\begin{align}{F_n}\left( x \right) &= F\left( m \right)\\ &= F\left( x \right)\end{align}\)

Hence \({X_n}\) converges in distribution to F, where the converges follows because the sums are finite.

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