Notes on Exponential and Logarithmic Functions

  • Exponential Functions

    • General form: y = b^x, where b is a positive real number known as the base.

    • Example for base 2:

      • y = 2^(-2) = 0.25, indicating that as the exponent is negative, the value decreases exponentially.

      • y = 2^(-1) = 0.5, showing a consistent halving effect as the exponent increases by one unit.

      • y = 2^(0) = 1, demonstrating that any non-zero base raised to the power of zero equals one.

      • y = 2^(1) = 2, confirming the function's growth begins to accelerate as the exponent turns positive.

      • y = 2^(2) = 4, illustrating that even small increases in the exponent lead to rapid changes in output.

      • y = 2^(3) = 8, showcasing the exponential growth trait as it becomes steeper with larger values of x.

  • Behavior of Exponential Function

    • For positive values of x greater than 1:

      • The y values increase significantly as x increases, reflecting exponential growth.

      • As x approaches infinity, y approaches infinity at an increasing rate.

    • For negative values of x:

      • The y values decrease towards zero but remain positive, indicating that the function approaches a horizontal asymptote at y = 0, but never actually reaches this value.

      • This behavior illustrates asymptotic properties of exponential functions where they never touch the x-axis.

  • Inverse of Exponential Functions

    • The inverse function is derived by switching x and y values in the ordered pairs, resulting in a redefinition of the variables.

    • The inverse of an exponential function is a logarithmic function.

    • Example: If y = 2^x, then the inverse can be expressed as y = log_2(x).

    • Logarithmic function relates to exponential function in a significant way:

      • The logarithmic statement y = log_b(x) means that b^y = x, where b is the base of the logarithm and x is the argument upon which the logarithm acts.

    • Logarithms can also be interpreted as the time required for a quantity to grow to a certain level under exponential growth conditions, making them crucial in various applications such as finance, biology, and computer science.