BackC6
Study Guide - Smart Notes
Tailored notes based on your materials, expanded with key definitions, examples, and context.
Exponential and Logarithmic Functions
Domain, Asymptotes, and Graph Transformations
Exponential and logarithmic functions are fundamental in modeling growth and decay processes. Understanding their domains, asymptotes, and transformations is essential for graphing and interpreting these functions.
Domain of Logarithmic Functions: The domain of is .
Vertical Asymptote: For , the vertical asymptote is .
Transformations:
Horizontal Shift: shifts the graph right by units.
Vertical Shift: shifts the graph up by units.
Reflection: reflects the graph over the x-axis.
Stretch/Compression: stretches (if ) or compresses (if ) vertically.
Example: For :
Reflected over x-axis
Stretched vertically by factor of 5
Shifted down by 4 units
Intercepts of Logarithmic Functions
To find the x-intercept of , set :
Thus, the x-intercept is at .
Compound Interest and Exponential Growth
Compound Interest Formula
Compound interest allows you to earn interest on both the principal and the accumulated interest. The general formula for compound interest is:
: Initial principal
: Annual interest rate (as a decimal)
: Number of compounding periods per year
: Time in years
Examples of Compounding
Annually:
Quarterly:
Monthly:
Daily:
Periodic Compounding
As the number of compounding periods increases, the accumulated amount approaches a limit. The formula for periodic compounding is:
For example, compounding monthly () or daily () yields slightly higher returns than annual compounding.
Continuous Compounding
When compounding occurs infinitely often, we use the formula for continuous compounding:
Here, is Euler's number ().
Example:
Invest $1000 annual interest, compounded continuously for $10$ years:
Exponential Functions and Applications
General Form of Exponential Functions
An exponential function is defined as:
: Initial value
: Base (if , growth; if , decay)
Exponential Growth and Decay
Growth:
Decay:
Exponential models are used in finance, population studies, radioactive decay, and more.
Example: Radioactive Decay
Suppose a radioactive material decays so that $400 years, modeled by .
To find the half-life, solve for :
years
Solving for Time or Rate
To solve for the time required for an investment to double (or halve), use logarithms:
For doubling: , so
For halving: , so
Applications and Practice Problems
Common Applications
Compound Interest: Calculating future value of investments with different compounding periods.
Exponential Growth: Modeling population growth, such as bacteria doubling every fixed period.
Exponential Decay: Modeling radioactive decay or depreciation of assets.
Sample Problems
Find the accumulated value of invested for $5 interest, compounded:
Annually:
Quarterly:
Monthly:
Continuously:
Find a model for the minimum wage growth from 1970 to 2000, and use it to estimate the wage in 2023.
Find the half-life of a radioactive material given its decay model.
Model the population of bacteria doubling every 3 hours and determine when it reaches a certain size.
Table: Compounding Frequency and Accumulated Value
Compounding Frequency | Formula | Example (P0 = $1000$, r = 6%, t = 10 yrs) |
|---|---|---|
Annually | ||
Quarterly | ||
Monthly | ||
Continuously |
Additional info: These notes also include worked examples for finding exponential models from data, solving for unknowns using logarithms, and interpreting real-world scenarios involving exponential growth and decay.