IndietroBusiness Calculus Study Guide: Exponential Growth, Derivatives, and Extrema
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Exponential Growth and Decay
Population Growth Models
Exponential growth models are used to describe populations or investments that increase at a rate proportional to their current size. The general form of the exponential growth function is:
Population Function: , where P is the initial population, r is the growth rate, and t is time in years.
Example: If a city has a population of 45,000 in 2015 and grows at 3% per year, the population after t years is .
Applications:
Predicting future population sizes
Determining when a population will reach a certain value
Calculating doubling time using
Uninhibited Population Growth (Differential Equation)
The differential equation for uninhibited population growth is:
or , where k is the growth rate.
The solution is , where c is the initial population.
Interpretation: Population grows continuously at a rate proportional to its size.
Compound Interest and Investment Growth
Continuous compounding is modeled by exponential functions similar to population growth.
Investment Value Function: , where P is the initial investment, r is the annual interest rate, and t is time in years.
Example: Maria invests V(t) = 20000e^{0.054t}$.
Applications:
Estimating future value of investments
Calculating present value needed for a future goal
Finding rate of change of balance:
Exponential Decay: Carbon Dating and Half-Life
Exponential decay models describe processes where quantities decrease at a rate proportional to their current value, such as radioactive decay.
Decay Function: , where N_0 is the initial amount, k is the decay constant.
Half-Life: The time required for half the substance to decay: .
Example: Carbon-14 has a half-life of 5730 years. Used to date archaeological samples.
Application: Determining age of artifacts by measuring remaining percentage of radioactive isotope.
Derivatives and Their Applications
Basic Derivative Rules
Derivatives measure the rate of change of a function. Key rules include:
Power Rule:
Exponential Rule:
Logarithmic Rule:
Example: ,
Critical Points, Extrema, and Concavity
Critical points occur where the derivative is zero or undefined. These points are candidates for local maxima, minima, or points of inflection.
Second Derivative Test:
If , has a relative minimum at .
If , has a relative maximum at .
If , the test is inconclusive.
Point of Inflection: Where changes sign.
Concavity:
: function is concave up.
: function is concave down.
Example: For , find critical values, points of inflection, and intervals of concavity.
Absolute Maximum and Minimum Values
To find absolute extrema on a closed interval:
Find and solve for critical points.
Evaluate at critical points and endpoints.
The largest value is the absolute maximum; the smallest is the absolute minimum.
Theorem 9 (Maximum–Minimum Principle 2): If , has an absolute maximum at ; if , has an absolute minimum at .
Asymptotes of Functions
Vertical Asymptotes
Vertical asymptotes occur where a function approaches infinity as approaches a certain value.
Definition: For , vertical asymptotes occur where the denominator is zero.
Find: Set and solve for .
Horizontal Asymptotes
Horizontal asymptotes describe the behavior of a function as approaches infinity.
Definition: The line is a horizontal asymptote if or .
Example: For , compare degrees of numerator and denominator to determine asymptotes.
Applications in Business and Science
Present Value and Investment Planning
Present value calculations determine the initial investment required to reach a future goal with continuous compounding.
Formula: , where A is the future amount, r is the rate, and t is time.
Example: To grow to in 20 years at 3.5% interest, solve for .
Radioactive Decay in Medicine
Half-life models are used to track decay of substances like iodine-125 in cancer treatment.
Application: If iodine-125 decreases by 2% in storage, use the decay formula to find storage time.
Summary Table: Second Derivative Test for Relative Extrema
Case | f'(c) | f''(c) | Conclusion |
|---|---|---|---|
Relative Maximum | 0 | < 0 | f has a relative maximum at c |
Relative Minimum | 0 | > 0 | f has a relative minimum at c |
No Relative Max/Min | 0 | 0 | Test is inconclusive |
Key Definitions
Critical Point: Where or does not exist.
Point of Inflection: Where changes sign.
Vertical Asymptote: Value of where approaches infinity.
Horizontal Asymptote: Value of that approaches as goes to infinity.
Additional info: Some context and examples have been expanded for clarity and completeness, including standard formulas and definitions relevant to Business Calculus.