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Understanding Exponential and Logarithmic Functions

Sep 30, 2024

Lecture Notes: Exponential and Logarithmic Functions

Introduction to Chapter 4

  • Focus on exponential and logarithmic functions.
  • Applications in science and engineering.

Exponential Functions

Definition

  • Form: ( a^x )
    • Base ( a ) must be greater than 0.
    • ( x ) typically a rational number but can be irrational.

Characteristics

  • Base ( a ) dictates growth or decay.
    • ( a > 1 ): exponential growth.
    • ( 0 < a < 1 ): exponential decay.
    • Positive or negative exponent affects growth or decay.

Examples

  • ( 2^x ) grows much faster than quadratic ( x^2 ).
  • Irrational exponents (e.g., ( 5^{\sqrt{3}} )) result in irrational numbers.
  • Important to maintain precision to avoid round-off errors.

Graphing

  • ( a^x ): exponential growth if ( a > 1 ), decay if ( 0 < a < 1 ).
  • Domain: ( (-\infty, +\infty) )
  • Range: ( (0, +\infty) )

Exponential vs Polynomial Growth

  • Exponentials (( a^x )) grow faster than polynomials (e.g., ( x^2 )).
  • Cross points differ (e.g., ( 2^x ) vs ( x^2 )).

Applications

Compound Interest

  • Formula: [ A = P \left(1 + \frac{r}{n}\right)^{nt} ]
    • ( P ): principal
    • ( r ): annual interest rate
    • ( n ): number of compounding periods per year
    • ( t ): time in years
  • Compounding increases future value.
    • More frequent compounding (monthly, daily) yields more return.
  • Continuous compounding reaches a limit.

Annual Percentage Rate (APR)

  • Adjusts the simple interest rate for the number of compounding periods.
  • APR is less than the nominal rate due to more frequent compounding.

Conclusion

  • Understanding of exponential functions is crucial for grasping logarithms.
  • Exponential functions have unique growth patterns important in financial calculations like compound interest.

Important Tips

  • When calculating with exponentials, carry as many decimals as possible to reduce errors.
  • Recognize the influence of base and sign of the exponent on the function's behavior.