Generalized Exponential Limit
Theorem
Let $x \in \R$ be a real number.
Let $\sequence {\nu_n}$ be an increasing, unbounded above real sequence.
Let $\sequence {\xi_n}$ be a real sequence such that:
- $\ds \lim_{n \mathop \to \infty} \nu_n \xi_n = x$
Then:
- $\ds \lim_{n \mathop \to \infty} \paren {1 + \xi_n}^{\nu_n} = \map \exp x$
where $\exp$ denotes the real exponential function defined as a power series.
Proof
First, let us consider the case where all $\nu_n \in \Z_{\ge 0}$.
Then, by the Binomial Theorem for Integral Index:
- $\ds \paren 1 \quad \paren {1 + \xi_n}^{\nu_n} = \sum_{r \mathop = 0}^{\nu_n} \binom {\nu_n} r \xi_n^r$
Now, by Convergent Real Sequence is Bounded, there is some $X \in \R$ such that:
- $\size {\nu_j \xi_j} \le X$
for all $j \in \N$.
We will apply Tannery's Theorem, using:
- $p_n = \nu_n$
- $\map {v_r} n = \dbinom {\nu_n} r \xi_n^r$
- $w_r = \dfrac {x^r} {r!}$
- $M_r = \dfrac {X^r} {r!}$
For $r \le p_n = \nu_n$, we have that:
- $\paren 2 \quad \map {v_r} n = \dfrac {\dbinom {\nu_n} r} {\nu_n^r} \paren {\nu_n \xi_n}^r$
and by Binomial Coefficient over Power Not Greater than Reciprocal of Factorial:
- $\dfrac {\dbinom {\nu_n} r} {\nu_n^r} \le \dfrac 1 {r!}$
from which it immediately follows that:
- $\size {\map {v_r} n} = \dfrac {\dbinom {\nu_n} r} {\nu_n^r} \size {\nu_n \xi_n}^r \le M_r$
By Radius of Convergence of Power Series over Factorial, we see that:
- $\sum_{r \mathop = 0}^\infty M_r$ is convergent
Finally:
| \(\ds \lim_{n \to \infty} \map {v_r} n\) | \(=\) | \(\ds \lim_{n \to \infty} \frac {\binom {\nu_n} r} {\nu_n^r} \paren {\nu_n \xi_n}^r\) | By $\paren 2$, for sufficiently large $n$ | |||||||||||
| \(\ds \) | \(=\) | \(\ds \lim_{n \to \infty} \frac {\binom {\nu_n} r} {\nu_n^r} \cdot \paren {\lim_{n \to \infty} \nu_n \xi_n}^r\) | Product Rule for Real Sequences | |||||||||||
| \(\ds \) | \(=\) | \(\ds w_r\) | Limit to Infinity of Binomial Coefficient over Power and hypothesis on $\sequence {\xi_n}$ |
Since the conditions are satisfied, we conclude that:
| \(\ds \lim_{n \mathop \to \infty} \paren {1 + \xi_n}^{\nu_n}\) | \(=\) | \(\ds \lim_{n \mathop \to \infty} \sum_{r \mathop = 0}^{\nu_n} \binom {\nu_n} r \xi_n^r\) | By $\paren 1$ | |||||||||||
| \(\ds \) | \(=\) | \(\ds \lim_{n \mathop \to \infty} \sum_{r \mathop = 0}^{p_n} \map {v_r} n\) | Definitions of $p_n$ and $v_r$ | |||||||||||
| \(\ds \) | \(=\) | \(\ds \sum_{r \mathop = 0}^\infty w_r\) | Tannery's Theorem | |||||||||||
| \(\ds \) | \(=\) | \(\ds \exp x\) | Definition of Real Exponential Function as a power series |
$\Box$
Now, we move to the general case for $\nu_n$.
Without loss of generality, assume that $\nu_n \ge 0$.
First, we must observe that $\xi_n \to 0$ as $n \to \infty$.
This follows by the Squeeze Theorem from:
- $0 \le \size {\xi_n} \le \nu_n \size {\xi_n}$
which holds for $n$ such that $\nu_n \ge 1$.
Define two sequences $\sequence {\underline \nu_n}, \sequence {\overline \nu_n}$ as:
- $\underline \nu_n = \floor {\nu_n}$
- $\overline \nu_n = \floor {\nu_n} + 1$
Then, we have:
- $\nu_n - 1 \le \underline \nu_n \le \overline \nu_n \le \nu_n + 1$
and so:
- $\nu_n \xi_n - \size {\xi_n} \le \underline \nu_n \xi_n, \overline \nu_n \xi_n \le \nu_n \xi_n + \size {\xi_n}$
hence by the Squeeze Theorem:
- $\underline \nu_n \xi_n \to x$
- $\overline \nu_n \xi_n \to x$
By the special case already determined, we thus have:
- $\paren {1 + \xi_n}^{\underline \nu_n} \to \map \exp x$
- $\paren {1 + \xi_n}^{\overline \nu_n} \to \map \exp x$
But, by Power Function is Monotone over Reals:
- $\map \min {\paren {1 + \xi_n}^{\underline \nu_n}, \paren {1 + \xi_n}^{\overline \nu_n}} \le \paren {1 + \xi_n}^{\nu_n} \le \map \max {\paren {1 + \xi_n}^{\underline \nu_n}, \paren {1 + \xi_n}^{\overline \nu_n}}$
Hence, once more by the Squeeze Theorem:
- $\ds \lim_{n \mathop \to \infty} \paren {1 + \xi_n}^{\nu_n} = \map \exp x$
$\blacksquare$
Sources
- 1926: T.J.I'A. Bromwich: An Introduction to the Theory of Infinite Series (2nd ed.): Art. 57