Exponential Functions

Basis
Last updated: Tags: Elementary Function

You already know what ana^n means when nn is a positive integer: multiply aa by itself nn times. You can extend this to negative integers (a−n=1/ana^{-n} = 1/a^n) and to rational exponents (ap/q=apqa^{p/q} = \sqrt[q]{a^p}). But what should 222^{\sqrt{2}} or eπe^{\pi} mean? An irrational exponent cannot be “applied one multiplication at a time,” so you need a genuinely different approach. The exponential function provides it: a single, explicitly convergent series that assigns a precise value to axa^x for every real xx.

From integer powers to all real exponents

For a fixed base a>0a > 0, integer powers are unambiguous, and rational powers ap/q≔(aq)pa^{p/q} \coloneqq (\sqrt[q]{a})^p satisfy the familiar laws ar+s=arasa^{r+s} = a^r a^s and (ar)s=ars(a^r)^s = a^{rs}.

Extending to irrational xx is trickier. Because Q\mathbb{Q} is dense in R\mathbb{R} (established in Real Numbers), every irrational number is the limit of a sequence of rationals, so one could try to declare ax≔lim⁡n→∞arna^x \coloneqq \lim_{n \to \infty} a^{r_n} for any rational sequence rn→xr_n \to x. This approach is coherent only after proving that the limit exists and is independent of the chosen rational sequence — which in turn requires continuity of t↦att \mapsto a^t, a fact you have not yet established.

The power series definition below sidesteps this circularity entirely. It gives an explicit, self-contained formula valid for every x∈Rx \in \mathbb{R} from the outset.

Power series definition

Definition. The exponential function exp⁡ ⁣:R→R\exp \colon \mathbb{R} \to \mathbb{R} is defined by the power series

exp⁡(x)≔∑k=0∞xkk!=1+x+x22!+x33!+⋯(1)\exp(x) \coloneqq \sum_{k=0}^{\infty} \frac{x^k}{k!} = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdots \tag{1}

The partial sums of (1)(1) are polynomials in xx (as studied in Polynomial Functions), so exp⁡\exp is, in a precise sense, the limit of an infinite sequence of polynomials.

Absolute convergence

Before using (1)(1), you must verify it converges for every real xx. Apply the ratio test: the absolute ratio of consecutive terms is

∣xk+1/(k+1)!xk/k!∣=∣x∣k+1\left\lvert\frac{x^{k+1}/(k+1)!}{x^k/k!}\right\rvert = \frac{|x|}{k+1}

For any fixed x∈Rx \in \mathbb{R}, this ratio tends to 00 as k→∞k \to \infty (the denominator grows without bound). Since 0<10 < 1, the ratio test guarantees absolute convergence for every x∈Rx \in \mathbb{R}.

Absolute convergence is more than a technicality: it licenses you to rearrange and regroup terms of the series freely — a permission used directly in the next section.

Agreement with ee

The two simplest evaluations confirm that exp⁡\exp agrees with the constant ee introduced in e:

  • At x=0x = 0:   exp⁡(0)=∑k=0∞0kk!=1\;\exp(0) = \displaystyle\sum_{k=0}^{\infty} \frac{0^k}{k!} = 1 (using the convention 00≔10^0 \coloneqq 1).
  • At x=1x = 1:   exp⁡(1)=∑k=0∞1k!=10!+11!+12!+⋯=e,\;\exp(1) = \displaystyle\sum_{k=0}^{\infty} \frac{1}{k!} = \frac{1}{0!} + \frac{1}{1!} + \frac{1}{2!} + \cdots = e,

where the last equality is exactly the series representation of ee established in e.

So exp⁡\exp maps 0↦10 \mapsto 1 and 1↦e1 \mapsto e, and writing exe^x as an alternative notation for exp⁡(x)\exp(x) is consistent with all integer powers of ee.

Functional equation

The most important algebraic property of exp⁡\exp is:

exp⁡(x+y)=exp⁡(x)exp⁡(y)for all x,y∈R.(2)\exp(x + y) = \exp(x)\exp(y) \quad \text{for all } x, y \in \mathbb{R}. \tag{2}

Proof. Multiply the two absolutely convergent series using the Cauchy product:

exp⁡(x) exp⁡(y)=(∑j=0∞xjj!) ⁣(∑k=0∞ykk!)=∑n=0∞∑j=0nxjj!⋅yn−j(n−j)!.\exp(x)\,\exp(y) = \left(\sum_{j=0}^{\infty}\frac{x^j}{j!}\right)\!\left(\sum_{k=0}^{\infty}\frac{y^k}{k!}\right) = \sum_{n=0}^{\infty}\sum_{j=0}^{n}\frac{x^j}{j!}\cdot\frac{y^{n-j}}{(n-j)!}.

Factor 1n!\tfrac{1}{n!} from the inner sum and apply the binomial theorem:

∑j=0nxj yn−jj! (n−j)!=1n!∑j=0n(nj)xjyn−j=(x+y)nn!\sum_{j=0}^{n}\frac{x^j\,y^{n-j}}{j!\,(n-j)!} = \frac{1}{n!}\sum_{j=0}^{n}\binom{n}{j}x^j y^{n-j} = \frac{(x+y)^n}{n!}

Therefore exp⁡(x) exp⁡(y)=∑n=0∞(x+y)nn!=exp⁡(x+y)\exp(x)\,\exp(y) = \displaystyle\sum_{n=0}^{\infty}\dfrac{(x+y)^n}{n!} = \exp(x+y).

Equation (2)(2) says exp⁡\exp converts addition into multiplication — precisely the behavior you expect from any exponential. Setting y=0y = 0 recovers exp⁡(x)⋅1=exp⁡(x)\exp(x) \cdot 1 = \exp(x), and setting y=−xy = -x gives a key consequence used next.

Strict positivity

Claim. exp⁡(x)>0\exp(x) > 0 for all x∈Rx \in \mathbb{R}.

Proof. Set y=−xy = -x in (2)(2): exp⁡(x) exp⁡(−x)=exp⁡(0)=1\exp(x)\,\exp(-x) = \exp(0) = 1. So exp⁡(x)\exp(x) and exp⁡(−x)\exp(-x) are positive reciprocals of each other — in particular, neither can be zero. Since exp⁡(0)=1>0\exp(0) = 1 > 0 and exp⁡\exp is continuous (it is given by a convergent power series), the intermediate value theorem forces it to remain positive everywhere.

Derivative

Theorem. ddxexp⁡(x)=exp⁡(x)\dfrac{d}{dx}\exp(x) = \exp(x).

Proof. Differentiate (1)(1) term by term — valid because the series converges absolutely on all of R\mathbb{R}:

ddxexp⁡(x)=∑k=1∞k xk−1k!=∑k=1∞xk−1(k−1)!=∑j=0∞xjj!=exp⁡(x),\frac{d}{dx}\exp(x) = \sum_{k=1}^{\infty}\frac{k\,x^{k-1}}{k!} = \sum_{k=1}^{\infty}\frac{x^{k-1}}{(k-1)!} = \sum_{j=0}^{\infty}\frac{x^j}{j!} = \exp(x),

where the re-index j=k−1j = k - 1 was used in the last step.

The function exp⁡\exp is therefore its own derivative. This is its defining dynamic property: exp⁡\exp grows at a rate exactly proportional to its current value, with proportionality constant 11.

Strict monotonicity

Because exp⁡(x)>0\exp(x) > 0 for all xx, the derivative (exp⁡)′(x)=exp⁡(x)(\exp)'(x) = \exp(x) is always positive. A function with strictly positive derivative on all of R\mathbb{R} is strictly increasing: for x1<x2x_1 < x_2, exp⁡(x1)<exp⁡(x2)\exp(x_1) < \exp(x_2).

Range and limiting behavior

The range of exp⁡\exp is the open interval (0,∞)(0, \infty).

  • As x→+∞x \to +\infty: The k=1k = 1 term alone gives exp⁡(x)≥x\exp(x) \geq x for all x≥0x \geq 0, so exp⁡(x)→+∞\exp(x) \to +\infty.
  • As x→−∞x \to -\infty: From exp⁡(x) exp⁡(−x)=1\exp(x)\,\exp(-x) = 1 you get exp⁡(x)=1/exp⁡(−x)\exp(x) = 1/\exp(-x). Since −x→+∞-x \to +\infty, we have exp⁡(−x)→+∞\exp(-x) \to +\infty, so exp⁡(x)→0+\exp(x) \to 0^+.

Together, strict positivity and these limits show exp⁡\exp surjects onto (0,∞)(0, \infty): for any y>0y > 0, the intermediate value theorem applied to the continuous, strictly increasing exp⁡\exp guarantees a unique xx with exp⁡(x)=y\exp(x) = y. That unique xx is the natural logarithm ln⁡y\ln y, whose properties are developed in Logarithms.

General exponentials

With ln⁡\ln available, you can give a precise, uniform definition of exponentials to any positive base. For b>0b > 0, b≠1b \neq 1, set

bx  ≔  exp⁡(xln⁡b).(3)b^x \;\coloneqq\; \exp(x \ln b). \tag{3}

Using the functional equation (2)(2), the familiar exponent rules follow immediately: bx+y=exp⁡((x+y)ln⁡b)=exp⁡(xln⁡b) exp⁡(yln⁡b)=bxbyb^{x+y} = \exp((x+y)\ln b) = \exp(x\ln b)\,\exp(y\ln b) = b^x b^y, and similarly (bx)y=bxy(b^x)^y = b^{xy}.

Definition (3)(3) also retroactively pins down irrational powers: 22=exp⁡(2ln⁡2)2^{\sqrt{2}} = \exp(\sqrt{2}\ln 2), a perfectly well-defined real number given by series (1)(1).

The construction of ln⁡\ln and the full theory of logarithmic functions are deferred to Logarithms.

Why ee is the natural base

Differentiating (3)(3) by the chain rule:

ddxbx=ddxexp⁡(xln⁡b)=ln⁡b⋅exp⁡(xln⁡b)=ln⁡b⋅bx.\frac{d}{dx}b^x = \frac{d}{dx}\exp(x \ln b) = \ln b \cdot \exp(x \ln b) = \ln b \cdot b^x.

The derivative of bxb^x equals bxb^x multiplied by the constant ln⁡b\ln b. The only base for which this constant equals 11 is b=eb = e, because ln⁡e=1\ln e = 1. For every other base b≠eb \neq e, differentiation introduces an unavoidable multiplicative factor ln⁡b≠1\ln b \neq 1.

This is why ee is the natural base: it is the unique base for which the exponential function is its own derivative with no extra constant. Any formula involving bxb^x for b≠eb \neq e can always be rewritten as exp⁡(xln⁡b)\exp(x \ln b), making the role of ln⁡b\ln b explicit and confirming that ee is the truly fundamental choice.

Summary

  • The exponential function is defined by exp⁡(x)≔∑k=0∞xkk!\exp(x) \coloneqq \displaystyle\sum_{k=0}^{\infty} \dfrac{x^k}{k!}, which converges absolutely for all x∈Rx \in \mathbb{R} by the ratio test (ratio of consecutive terms is ∣x∣/(k+1)→0|x|/(k+1) \to 0).
  • exp⁡(0)=1\exp(0) = 1 and exp⁡(1)=e\exp(1) = e, in agreement with the series definition of ee.
  • Functional equation: exp⁡(x+y)=exp⁡(x)exp⁡(y)\exp(x+y) = \exp(x)\exp(y) for all x,y∈Rx, y \in \mathbb{R}, proved via the Cauchy product and the binomial theorem.
  • exp⁡(x)>0\exp(x) > 0 for all xx (since exp⁡(x)exp⁡(−x)=1\exp(x)\exp(-x) = 1 rules out any zero).
  • (exp⁡)′(x)=exp⁡(x)(\exp)'(x) = \exp(x): the function is its own derivative, hence strictly increasing everywhere.
  • The range of exp⁡\exp is (0,∞)(0, \infty); exp⁡(x)→+∞\exp(x) \to +\infty as x→+∞x \to +\infty and exp⁡(x)→0\exp(x) \to 0 as x→−∞x \to -\infty.
  • General exponentials are defined by bx≔exp⁡(xln⁡b)b^x \coloneqq \exp(x \ln b) for b>0b > 0, b≠1b \neq 1; their derivative is (bx)′=ln⁡b⋅bx(b^x)' = \ln b \cdot b^x.
  • The natural base ee is the unique base for which (bx)′=bx(b^x)' = b^x holds with no extra constant.