Next: Theorem 16 Up: The Asymptotic Frequency Distribution Previous: Theorem 14

Theorem 15 (Gnedenko (1943), pp. 446-448)

In order for n [ 1 - F (x)] to converge to a W-function of the type W3(x) (or, what is the same, Fn(x)) to converge to a frequency distribution of the type $\Lambda(x)$, as $n \to
\infty$), it is necessary and sufficient that

 
 \begin{displaymath}
\lim_{n\to\infty} n [1-F (a_n x + b_n)] = e^{-x}\end{displaymath} (88)

for all values of x, where an and bn are given by the following conditions:

(a)
bn is the greatest lower bound for the values of x satisfying

\begin{displaymath}
F (x-0) \leq 1 - \frac1n \leq F (x+0).\end{displaymath}

(b)
an is the greatest lower bound for the values of x satisfying

\begin{displaymath}
F (x (1-0) + b_n ) \leq 1 - \frac1n \leq F (x (1+0) + b_n ).\end{displaymath}

Proof: If Eq. (88) is satisfied by the an and bn as defined, then Fn(x) converges to a frequency distribution of the type $\Lambda(x)$ by Theorem 7. Also, under these conditions, Eq. (88) becomes W3 (x). Hence, this demonstrates sufficiency. It remains to prove the necessity.

Assume that n [ 1 - F (x)] converges to a W-function of the type W3 (x). Then, there exists $\alpha_n \gt 0$ and $\beta_n$, $n = 1,2,3,\ldots$, such that for all x,

 
 \begin{displaymath}
\lim_{n\to\infty} n [ 1 -F (\alpha_n x + \beta_n)] = e^{-x}.\end{displaymath} (89)

It will be proved that the $\alpha_n$ and $\beta_n$ may be replaced by an and bn without affecting the convergence of Eq. (89). For convenience, define wn (x) to be

\begin{displaymath}
w_n (x) = n [1 - F (\alpha_n x + \beta_n )].\end{displaymath}

Then, Eq. (84) gives

\begin{displaymath}
\lim_{n\to\infty} w_n (x) = e^{-x}.\end{displaymath}

Hence, for any $\epsilon \gt 0$:

(A)
There exists N1 such that for n > N1,

\begin{displaymath}
\left\vert w_n (\epsilon) - e^{-\epsilon} \right\vert < (1-e...
 ...} \right) = 1 - e^{-\epsilon} - \frac1{2e} (1 -
e^{-\epsilon}) \end{displaymath}

or

 
 \begin{displaymath}
\begin{array}
{c}
\displaystyle 
w_n (\epsilon) -e^{-\epsilo...
 ..._n (\epsilon) + \frac1{2e} (1 - e^{-\epsilon}) < 1. \end{array}\end{displaymath} (90)

(B)
There exists N2 such that for n > N2,

\begin{displaymath}
\left\vert w_n (-\epsilon) - e^{\epsilon} \right\vert < (e^\epsilon - 1 )
\left( 1 - \frac1{2e^{1+\epsilon}} \right)\end{displaymath}

or

 
 \begin{displaymath}
\begin{array}
{c}
\displaystyle
w_n (-\epsilon) \gt e^\epsil...
 ...w_n(-\epsilon) - \frac1{2e} (1-e^{-\epsilon}) \gt 1.\end{array}\end{displaymath} (91)

(C)
There exists N3 such that for n > N3,

\begin{displaymath}
\left\vert w_n (1+\epsilon) - e^{-(1+\epsilon)}\right\vert < \frac1{2e} (1 -
e^{-\epsilon}) \end{displaymath}

or

 
 \begin{displaymath}
\begin{array}
{c}
\displaystyle 
w_n (1 + \epsilon) < e^{-1-...
 ...epsilon) + \frac1{2e} (1 - e^{-\epsilon}) < \frac1e.\end{array}\end{displaymath} (92)

(D)
There exists N4 such that for n > N4,

\begin{displaymath}
\left\vert w_n ( 1 - \epsilon) - e^{-(1-\epsilon)} \right\ve...
 ... \frac1e
\left(1 - \frac1{2e^\epsilon} \right) (e^\epsilon - 1)\end{displaymath}

or

 
 \begin{displaymath}
\begin{array}
{c}
\displaystyle
w_n ( 1 - \epsilon) \gt e^{-...
 ...epsilon) - \frac1{2e} (1-e^{-\epsilon}) \gt \frac1e.\end{array}\end{displaymath} (93)

Now, combining Eqs. (90), (91), (92), and (93), if $n \gt \max$ (N1, N2, N3,N4),

 
 \begin{displaymath}
\begin{array}
{r@{~}c@{~}l}
w_n (\epsilon) + \eta < & 1 & < ...
 ...n) + \eta < & \frac1e & < w_n (1 - \epsilon) - \eta,\end{array}\end{displaymath} (94)

where $\eta = (1/2e) (1-e^{-\epsilon})$. By definition of Wn (x), this is the same as

\begin{displaymath}
\begin{array}
{r@{~}c@{~}l}
n [ 1 - F (\alpha_n \epsilon + \...
 ... n [ 1
- F (\alpha_n (1-\epsilon) + \beta_n)] - \eta\end{array}\end{displaymath}

or

 
 \begin{displaymath}
\begin{array}
{r@{~}c@{~}l}
F (\alpha_n \epsilon + \beta_n) ...
 ... (\alpha_n (1-\epsilon) + \beta_n) + \frac{\eta}{n}.\end{array}\end{displaymath} (95)

From Eq. (95) and the definition of an and bn it follows that

 
 \begin{displaymath}
- \alpha_n \epsilon + \beta_n \leq b_n \leq \alpha_n + \beta_n,\end{displaymath} (96)

 
 \begin{displaymath}
\alpha_n (1 - \epsilon) + \beta_n \leq a_n + b_n \leq \alpha_n
(1+\epsilon) + \beta_n.\end{displaymath} (97)

From Eq. (96),

 
 \begin{displaymath}
\left\vert \frac{b_n - \beta_n}{\alpha_n} \right\vert < \epsilon.\end{displaymath} (98)

From Eq. (97),

\begin{displaymath}
\begin{array}
{r@{~}c@{~}l}
\alpha_n ( 1 - \epsilon) & \leq ...
 ...} + \frac{b_n -
\beta_n}{\alpha_n} \leq 1 + \epsilon\end{array}\end{displaymath}

or

 
 \begin{displaymath}
\left\vert \frac{a_n}{\alpha_n} + \frac{b_n - \beta_n}{\alpha_n} - 1
\right\vert < \epsilon.\end{displaymath} (99)

Then by Eqs. (98) and (99),

 
 \begin{displaymath}
\begin{array}
{r@{~}c@{~}l}
\displaystyle \left\vert \frac{a...
 ...}
\right\vert \leq \epsilon + \epsilon = 2 \epsilon.\end{array}\end{displaymath} (100)

It follows from Eqs. (98) and (100) that an and bn defined in Theorem 2 are such that

\begin{displaymath}
\lim_{n\to\infty} n [ 1 - F (a_n x + b_n)] = e^{-x}.\end{displaymath}

This proves the necessity of the conditions.


Next: Theorem 16 Up: The Asymptotic Frequency Distribution Previous: Theorem 14

Leon Borgman
3/10/1998