Exponential Functions
Algebraic Representation
All exponential functions are relatives of this primitive, two parameter family. Variations within the extended family are merley shifts, stretches, and transformations of this common stock.
The parameter a is called the function's yintercept and the parameter b is called the base. Together, they completely determine an exponential function's inputoutput behavior.
Notice that f(0) = ab^{0} = a1 = a : The yintercept is the output when the input is 0.
When a = 0 or b = 0 the function simplifies to y = f(x) = 0 , or a trivial constant function whose output is 0 for every input. When b = 1 the function simplifies to y = f(x) = a1^{x} = a1 = a , or a constant function whose output is a for every input.
Since many expressions with negative bases – like (–1)^{1/2} or (–5.3)^{7/4} – make no algebraic sense (they do not define any real number), and since a base of 0 leads to a trivial constant function, we usually add the following restriction to exponential functions:
The base b in an exponential function must be positive.

Because we only work with positive bases, b^{x} is always positive. The values of f(x) , therefore, are either always positive or always negative, depending on the sign of a . Exponential functions live entirely on one side or the other of the xaxis. We say that they have a limited range.
The base b determines the rate of growth or decay:
 If 0 < b < 1 , the function decays as x increases. (E.g., (1/2)^{1} > (1/2)^{2} > (1/2)^{3}.) Smaller values of b lead to faster rates of decay.
 If b > 1 , the function grows as x increases. (E.g., (2)^{1} < (2)^{2} < (2)^{3}.) Larger values of b lead to faster rates of growth.
The key algebraic property of exponential functions is the following:
That is, increasing any input x by a constant interval Dx changes the output by a constant multiple b^{Dx} . This is the property of exponential functions that is most easy to recognize in modeling situations.
There are a few important special cases of the above property:
 When b > 1 (growth), we may choose Dx so that b^{Dx} = 2 . Then for every x , f(x + Dx) = 2f(x) . We call this input interval Dx the doubling time of the function. Every growing exponential has a unique doubling time.
 When 0 < b < 1 (decay), we may choose Dx so that b^{Dx} = 1/e , where e = 2.71828... . Then for every x , f(x + Dx) = f(x)/e . We call this input interval Dx the critical time of the function. Every decaying exponential has a unique critical time.
You may be wondering about the number e = 2.71828... that is used to determine the critical time of a decaying exponential. What is this number? It is sometimes called the natural exponential base, and you will find out much more about it when you study calculus. If you're curious now, you can learn more about the number e by exploring some of the examples in the following popup:
The Number e:
The word "natural" in "natural exponential base" suggests a certain importance. Indeed, in calculus and in many applications, b = e is the base of choice for exponential functions. This can always be arranged, since for any b > 0 we can find a k so that e^{k} = b . We can then rewrite f(x) = ab^{x} as:
That is, any exponential function can be rewritten with the natural base, provided we multiply the exponent by an appropriate factor k . This conversion factor is called the natural logarithm of b, and we write k = log_{e} b , or simply k = ln (b) .