Properties of Exponential Functions from the Functional Equation
Positivity, monotonicity, and convexity from E(x+y)=E(x)E(y).
Here is a functional characterization of exponentials; we don’t specify a formula for how to compute the function but instead we specify how the function ought to behave.
Exponential Functions
An exponential function is a continuous nonconstant function satisfying the law of exponents for all .
This note records several properties that follow directly from this functional equation (which prove useful in Part II and III, discussing differentiation and integration). This is material preparing for real analysis, where I am teaching the exponential logarithm and trigonometric functions from a functional-characterization perspective this year.
Positivity
Exponentials are Nonzero
If is an exponential function then for all .
Let be an exponential function and assume there is some such that . Then for any we may write for . Evaluating using the law of exponents, Thus is constantly zero, which is a contradiction as we assumed was a nonconstant solution to the Law of Exponents.
E(0)=1
If is any exponential function, then .
Since apply the law of exponents: Since we know to be nonzero we can divide through by it, yielding
Because exponentials are continuous (by definition), are nonzero (the proposition above) and return the positive number at (the other proposition above), the intermediate value theorem ensures exponentials can never have negative number outputs.
Exponential functions are positive.
Uniqueness
Exponential on Natural Numbers
Prove that if is an exponential function, and then
Since , we may inductively apply the law of exponents:
Exponential on Integers
Prove that if is an exponential function, and then
If is positive, the result is already proven for natural numbers above. If then the claim reduces to , also already proven. So, it remains to consider only the case for . Here, we apply the law of exponents to to get Thus , and we know from the natural number case. Putting this together with the definition of negative exponents,
Exponential on Rationals
Prove that if is an exponential function, and then
Let for integers . We can assume without loss of generality that (as we’ve covered this case) and ( is not allowed, and we can always collect negative signs into the numerator, and is the integer case, also already covered.)
We proceed in two steps: first we look at fractions of the form , so we must evaluate . Here we apply the law of exponents to the identity :
Since , are known to be positive, we can uniquely take the root of both sides to get
Now let be an arbitrary fraction, and consider . We compute as
Thus as claimed.
Exponentials Agreeing at a Point
If are exponentials which take the same value at any nonzero point , then they agree on the entire real line.
Assume , and consider the set of rational multiples of : This is dense in and for every we can calculate and using the previous proposition Thus on all of , so the functions agree on a dense set, and by continuity, agree on all of .
Base of an Exponential
If is an exponential function, its base is defined as the value .
Uniqueness with Given Base
If two exponentials have the same base, they are equal on the entire real line.
By defintion they agree at , so apply the previous proposition.
Monotonicity & Convexity
If is an exponential, then restricted to the positive reals is either (i) always greater than 1, or (ii) always less than 1.
Assume there are two positive numbers with and . Then by the intermediate value theorem there must be a point where .
Now consider the set of rational multiples of :
This is dense in and for every element we see
Thus is constantly equal to 1 on the dense set , and so by continuity is constantly equal to on all of . This contradicts the definition of exponentials, but even more immediately contradicts the premise of this proposition, that and .
Exponentials are Monotone
If is an exponential function then is strictly monotone: it is monotone increasing if on the positive reals, and decreasing if there.
Without loss of generality we work with the case that on the positives. Let be arbitrary real numbers, we wish to show that . Since we know and by the law of exponents So, as required.
Next we look at convexity
Convex Function
A function is convex on an interval if the secant line between any two points in the interval lies strictly above the graph of .
Exponentials are Convex
Let be an exponential. Then is convex on all of .