Exponential functions model growth and decay phenomena across mathematics, physics, biology, and finance.
An exponential function is defined as any function of the form: f(x)=bx where b>0, b=1, b is a constant base, and x is a variable exponent.
Distinction Between Exponential Functi5ons and Power Functions:
A power function has the form f(x)=xb, where the base is variable and the exponent is constant.
An exponential function has the form f(x)=bx, where the base is constant and the exponent is variable.
Comparing y=x2 and y=2x:
Both functions approach infinity as x→∞, but y=2x eventually grows much more rapidly than y=x2.
As x→−∞, x2→∞, whereas 2x→0. The horizontal line y=0 is a horizontal asymptote for y=2x.
Table of Numerical Comparison:
x=−3: x2=9, 2x=1/8
x=−2: x2=4, 2x=1/4
x=−1: x2=1, 2x=1/2
x=0: x2=0, 2x=1
x=1: x2=1, 2x=2
x=2: x2=4, 2x=4
x=3: x2=9, 2x=8
x=4: x2=16, 2x=16
x=5: x2=25, 2x=32
x=6: x2=36, 2x=64
Definitions of Exponents Across Number Systems
Positive Integer Exponents:
For a positive integer x, bx=b⋅b⋯b (x factors of b).
Negative Integer Exponents:
For a negative integer −y (where y is a positive integer), b−y=by1.
Zero Exponent:
For any base b>0, b0=1
Rational Exponents:
For rational numbers x=qp, where p and q are integers and q>0: bp/q=qbp
Example: 93/2=93=729=27
Irrational Exponents:
An expression with an irrational exponent, such as 2^{\text{\sqrt{2}}}, is defined as the limit of values obtained using rational approximations of the exponent.
Rational approximations of 2≈1.41421356... yield:
x=1.4⟹21.4≈2.639
x=1.41⟹21.41≈2.65737
x=1.414⟹21.414≈2.66475
x=1.4142⟹21.4142≈2.665119
x=1.41421⟹21.41421≈2.665138
x=1.414213⟹21.414213≈2.665143
As rational values of x approach 2, 2x converges to 22≈2.665144
Applications and Properties of Exponential Functions
Bacterial Population Growth Example:
A population doubling every 4hours starting with 1000 bacteria is described by: n(t)=1000⋅2t/4
Bacteria after 6hours: n(6)=1000⋅26/4=1000⋅23/2≈2828bacteria
Bacteria after 10hours: n(10)=1000⋅210/4=1000⋅25/2≈5657bacteria
Bacteria after 24hours: n(24)=1000⋅224/4=1000⋅26=64,000bacteria
Evaluating Exponential Values:
For f(x)=3x:
f(4)=34=81
f(−2)=3−2=91
Domain, Range, and Behavior of f(x)=bx:
Domain:(−∞,∞)
Range:(0,∞)
When b>1: Function is increasing on (−∞,∞); bx→∞ as x→∞, and bx→0 as x→−∞
When 0<b<1: Function is decreasing on (−∞,∞); bx→0 as x→∞, and bx→∞ as x→−∞
Laws of Exponents
For constants a>0, b>0, and all real numbers x and y:
bx⋅by=bx+y
bybx=bx−y
(bx)y=bxy
(ab)x=axbx
bxax=(ba)x
Simplification Examples:
Example A:(4x−1/3)2(2x2/3)3=42(x−1/3)223(x2/3)3=16x−2/38x2=2x2x2/3=2x8/3
Example B:(xy2)−2(x3y−1)2=x−2(y2)−2(x3)2(y−1)2=x−2y−4x6y−2=x6x2y−2y4=x8y2
Example C:12x−4y56x−3y2=126x−3−(−4)y2−5=21x1y−3=2y3x
The Number e and the Natural Exponential Function
Compound Interest and Derivation of e:
Initial principal P invested at annual interest rate r compounded n times per year for t years: A(t)=P(1+nr)nt
Substituting m=rn gives: A(t)=P(1+m1)mrt
As compounding frequency approaches infinity (n→∞⟹m→∞):
m=10⟹(1+101)10≈2.5937
m=100⟹(1+1001)100≈2.7048
m=1000⟹(1+10001)1000≈2.71692
m=10,000⟹(1+10,0001)10,000≈2.71815
m=100,000⟹(1+100,0001)100,000≈2.718268
m=1,000,000⟹(1+1,000,0001)1,000,000≈2.718280
Euler's Constant e:
The limit as m→∞ defines the mathematical constant e: e≈2.718281
Notation introduced by Swiss mathematician Leonhard Euler in the 1720s.
Continuous Compounding Formula:A(t)=Pert
The Natural Exponential Function:
Function defined by f(x)=ex
Uniquely characterized as the only exponential function whose tangent line at x=0 has a slope equal to 1.
Worked Examples of Continuous Compounding:
Example 1: Principal P=$500, annual interest rate r=0.055 (5.5%):
Formula: A(t)=500e0.055t
After 10years: A(10)=500e0.055⋅10=500e0.55≈$866.63
After 20years: A(20)=500e0.055⋅20=500e1.1≈$1502.08
Example 2: Principal P=$800, annual interest rate r=0.04 (4%):
Formula: A(t)=800e0.04t
After 5years: A(5)=800e0.04⋅5=800e0.2≈$977.12
Logarithmic Functions
Since f(x)=bx (for b>0,b=1) is a continuous, strictly monotonic, one-to-one function with domain (−∞,∞) and range (0,∞), it possesses an inverse function.
Definition of Logarithmic Function:
The logarithmic function with base b, denoted y=logb(x), is defined as: y=logb(x)⟺by=x
Domain:(0,∞)
Range:(−∞,∞)
Key Evaluation Examples:
log2(8)=3 because 23=8
log10(1001)=−2 because 10−2=1001
logb(1)=0 because b0=1
Inverse Cancellation Equations:
logb(bx)=x for all x∈(−∞,∞)
blogb(x)=x for all x>0
The Natural Logarithm:
Logarithm with base e, written as ln(x) or lnx: ln(x)=loge(x)
Key identities: ln(e)=1, ln(e3)=3, ln(1)=0
Inverse cancellation: ln(ex)=x and eln(x)=x
The graphs of y=ex and y=ln(x) are reflection symmetric across the line y=x.
Properties and Equations of Logarithms
Properties of Logarithms: For a,b,c>0, b=1, and any real number r:
Exponential Change of Base:ax=bxlogb(a) If b=e, ax=exloge(a)=exln(a)
Logarithmic Change of Base:loga(x)=logb(a)logb(x) If b=e, loga(x)=ln(a)ln(x)
Algebraic Proofs:
Proof 1: By inverse properties, blogb(ax)=ax. Applying the power property to the exponent yields bxlogb(a)=ax.
Proof 2: Let u=logb(a), v=loga(x), and w=logb(x). By definition, bu=a, av=x, and bw=x. Then bw=x=av=(bu)v=buv. Since exponential functions are one-to-one, w=uv⟹v=uw, proving loga(x)=logb(a)logb(x).
Change-of-Base Evaluation Examples:
log3(7)=ln(3)ln(7)≈1.77124
log4(22)=ln(4)ln(22)≈2.2295
Application: The Richter Scale for Earthquakes:
Developed in 1935 by Charles Richter using a base-10 logarithmic scale.
Relative amplitude equation between two earthquakes of magnitudes R1 and R2 with wave amplitudes A1 and A2: R1−R2=log10(A2A1)
Magnitude 8 vs. Magnitude 7: 8−7=1⟹A2A1=101=10 (10 times more intense).
Magnitude 8 vs. Magnitude 6: 8−6=2⟹A2A1=102=100 (100 times more intense).
Magnitude 9.0 (Japan 2011) vs. Magnitude 7.3 (Haiti 2010): 9.0−7.3=1.7=log10(A2A1)⟹A2A1=101.7≈50.1187 The earthquake in Japan was approximately 50 times more intense than the earthquake in Haiti.
Magnitude 8.5 vs. Magnitude 6.2: 8.5−6.2=2.3⟹A2A1=102.3≈199.53 (approximately 200 times more intense).
Hyperbolic Functions
Hyperbolic functions represent combinations of ex and e−x that describe physical systems such as water waves, elastic membrane vibrations, and hanging cables (catenaries).
Catenary Equation for Hanging Chains:y=acosh(ax)+b
Fundamental Hyperbolic Identity Derivation:cosh2(t)−sinh2(t)=(2et+e−t)2−(2et−e−t)2=4e2t+2+e−2t−4e2t−2+e−2t=44=1 This identity is the hyperbolic analog of the trigonometric identity cos2(t)+sin2(t)=1. The point (cosh(t),sinh(t)) lies on the unit hyperbola x2−y2=1.