Exponential Functions

An exponential function f ( x ) = b x places the variable in the exponent rather than the base. This simple shift produces functions with remarkable properties: they grow (or decay) at a rate proportional to their current value, they are defined for all real x , and they are always positive. Understanding their graphs and transformations is the foundation for logarithms, compound interest, population models, and calculus.

Quick Reference

Property Formula / Value
General form f ( x ) = b x , where b > 0 , b 1
Domain ( , )
Range ( 0 , )
y -intercept $(0, 1)$ for every base b
Asymptote x -axis ( y = 0 )
b > 1 Increasing (exponential growth)
$0 < b < 1$ Decreasing (exponential decay)
Reflection in y -axis ( 1 / b ) x = b x
Natural base e 2.71828

Definition and Basic Properties

A function of the form

f ( x ) = b x

where b > 0 is a fixed constant and x is the variable is called an exponential function with base b . The variable appears in the exponent, which is what makes it "exponential."

The requirement b > 0 is essential: when b < 0 , the expression b x is only defined for specific rational values of x (those with odd-integer denominators), so the function would not have a continuous domain. Requiring b > 0 ensures f ( x ) = b x is defined for all real x . The case b = 1 gives the constant function 1 x = 1 , which is uninteresting.

Three key properties hold for every exponential function f ( x ) = b x (with b > 0 , b 1 ):

  • The expression b x is defined for all real x , so the domain of f is ( , ) .
  • Since b x > 0 for any x , the graph of f always lies above the x -axis; the range is ( 0 , ) .
  • Since b 0 = 1 , the graph passes through $(0, 1)$: every exponential function shares the same y -intercept.

If f ( x ) = b x with b > 0 , b 1 :

Dom ( f ) = = ( , ) and Rng ( f ) = ( 0 , ) .

Graphs of Exponential Functions

The shape of the graph depends critically on whether b > 1 or $0 < b < 1$.

When b  >  1: Exponential Growth

When b > 1 , the function y = b x increases as x increases. For large positive x , the value of y becomes very large. For large negative x , the value of y approaches zero from above: the graph hugs the negative x -axis but never touches it. The x -axis is a horizontal asymptote.

Graphs of exponential functions y = bˣ for bases b  loading= 1 (2ˣ, 3ˣ, 1.5ˣ), showing exponential growth.">
Graphs of exponential functions y = b x when b > 1 . All pass through $(0,1)$ and grow without bound as x .

When $0 < b < 1$: Exponential Decay

When $0 < b < 1$, the function y = b x decreases as x increases. As x + , the value approaches zero; as x , the value grows without bound. The range is still ( 0 , ) .

Graphs of exponential functions y = bˣ for bases 0 < b < 1 (0.5ˣ, 0.2ˣ), showing exponential decay.
Graphs of exponential functions y = b x when 0 < b < 1 . All pass through $(0,1)$ and decay toward zero as x .

Symmetry Between Reciprocal Bases

The graphs of y = b x and y = ( 1 / b ) x are reflections of each other in the y -axis. To see why, note that

( 1 / b ) x = b x .

The function y = b x takes the same values for positive x as y = b x takes for negative x of the same magnitude, and vice versa. This is exactly what reflection in the y -axis does.

Graphs showing the symmetry between exponential functions with reciprocal bases (e.g., 2ˣ and (½)ˣ) across the y-axis.
The graphs of y = b x and y = ( 1 / b ) x = b x are symmetric with respect to the y -axis.

Because 1 / b > 1 whenever $0 < b < 1$, and $0 < 1/b < 1$ whenever b > 1 , every decaying exponential corresponds to a growing one obtained by replacing b with 1 / b .

Exponential Growth Vs. Polynomial Growth

Comparison graph of exponential growth (2ˣ) versus polynomial growth (x²), showing the exponential eventually overtaking the polynomial.
The graphs of y = 2 x and y = x 2 intersect at three points, but for x > 4 , the exponential 2 x dominates and the gap widens steeply.

When b > 1 , the exponential function y = b x eventually outgrows any polynomial y = x n , no matter how large n is. For example, with b = 1.1 and n = 10 : at x = 1000 , the polynomial x 10 equals 10 30 , while 1.1 1000 2.47 × 10 41 , roughly 2.5 × 10 11 times larger.

Graphing Transformations of Exponential Functions

Sketch the graph of each function and determine its domain and range.

  1. f ( x ) = 1 3 x
  2. g ( x ) = 3 x 2
Solution (a) Since the base 3 is positive, there is no restriction on x . The domain of f is ( , ) . To graph f ( x ) = 1 3 x , we use transformations starting from y = 3 x : Step 1. Begin with y = 3 x :
Graph of the exponential function y = 3ˣ.
Graph of y = 3 x
Step 2. Reflect in the x -axis to obtain y = 3 x :
Graph showing the reflection of y = 3ˣ across the x-axis to form y = -3ˣ.
Graphs of y = 3 x and y = 3 x
Step 3. Shift upward 1 unit to obtain y = 1 3 x :
Graph showing the vertical shift of y = -3ˣ up 1 unit to form y = 1 - 3ˣ.
Graphs of y = 3 x and y = 1 3 x
The range of f is ( , 1 ) . We verify algebraically: since 0 < 3 x < , we have < 3 x < 0 < 1 3 x < 1. (b) Again the domain is . To graph g ( x ) = 3 x 2 : Step 1. Begin with y = 3 x (same starting graph). Step 2. Reflect in the y -axis to obtain y = 3 x :
Graph showing the reflection of y = 3ˣ across the y-axis to form y = 3⁻ˣ.
Graphs of y = 3 x and y = 3 x
Step 3. Shift downward 2 units to obtain y = 3 x 2 :
Graph showing the vertical shift of y = 3⁻ˣ down 2 units to form y = 3⁻ˣ - 2.
Graphs of y = 3 x and y = 3 x 2
The range of g is ( 2 , ) . Verification: since 0 < 3 x < , a reflection in the y -axis does not change the range, so 0 < 3 x < , and shifting down 2 gives 2 < 3 x 2 < .

The Natural Exponential Function

The natural exponential function is f ( x ) = e x , where

e = 2.71828182845904523536

is an irrational constant called Euler's number (also known as Napier's constant). The function e x is also written exp ( x ) .

The number e is irrational (like π ), and its graph y = e x sits between y = 2 x and y = 3 x because $2 < e < 3$:

Graph of the natural exponential function y = eˣ plotted between y = 2ˣ and y = 3ˣ.
The natural exponential function y = e x , with e = 2.71828 , lies between y = 2 x and y = 3 x .

The natural exponential is called "the" exponential function because it is the unique function satisfying : its rate of change equals its current value at every point. Many calculators have a dedicated key for e x , and note that e = exp ( 1 ) .

Frequently Asked Questions

Why can't the base of an exponential function be negative? When the base b is negative, b x is only defined when x is a rational number p / q with q odd. This leaves the function undefined for irrational x and many rationals, so it cannot be graphed as a continuous curve. Calculus requires functions to be defined for all real x , which is why exponential functions require b > 0 .

What is the horizontal asymptote of an exponential function? The horizontal asymptote of y = b x is the x -axis, i.e., y = 0 . When b > 1 the curve approaches y = 0 as x ; when 0 < b < 1 it approaches y = 0 as x + . Transformations shift this asymptote: for example, y = b x + k has horizontal asymptote y = k .

How do I graph transformations of exponential functions? Use the standard transformation toolkit applied to y = b x :
  • y = b x h : horizontal shift right by h
  • y = b x + k : vertical shift up by k
  • y = b x : reflection in the x -axis (range becomes ( , 0 ) )
  • y = b x : reflection in the y -axis (equivalent to ( 1 / b ) x )
  • y = a b x : vertical stretch by factor | a |
Work through transformations step by step, tracking the y -intercept and asymptote at each stage.

Does the exponential function eventually beat every polynomial? Yes. For any base b > 1 and any polynomial x n (no matter how large n is), the exponential b x eventually dominates: as x , b x / x n . This is often stated as "exponentials grow faster than any polynomial." The crossover point may be very far to the right for small b or large n , but the exponential always wins in the long run.

What is the significance of e compared to other bases? The number e is the unique base for which d d x [ b x ] = b x exactly, with no extra constant factor. For any other base, d d x [ b x ] = b x ln b , which is only equal to b x when ln b = 1 , i.e., when b = e . This self-referential derivative property makes e x the natural choice for modeling continuous growth, solving differential equations, and simplifying integrals throughout calculus.