Implementing Exponential-Log Functions in Python
Exponential Function
Exponential functions model rapid growth or decay, commonly used in population modeling, finance, and physics. This function is of the form f(x)=aebx.
Code Breakdown
- Generates
xvalues between-5and5; - Defines
exponential_function(x, a, b), whereascales the function, andbcontrols the growth rate; - Plots the graph with arrows at both ends to show continuous growth;
- Marks the y-intercept at
x = 0for clarity.
Logarithmic Function
Logarithms are the inverse of exponentials, useful in scaling data and measuring natural growth processes. This function is defined as f(x)=log2β(x), meaning it calculates the power to which 2 must be raised to obtain x.
Code Breakdown
- Generates
xvalues between0.1and10(to avoidlog(0), which is undefined); - Defines
logarithmic_function(x, base=2), ensuring base2is used throughout; - The graph includes an arrow at the right end, indicating it continues indefinitely;
- The x-intercept is marked at
x = 1, wherelog_2(1) = 0.
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Implementing Exponential-Log Functions in Python
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Exponential Function
Exponential functions model rapid growth or decay, commonly used in population modeling, finance, and physics. This function is of the form f(x)=aebx.
Code Breakdown
- Generates
xvalues between-5and5; - Defines
exponential_function(x, a, b), whereascales the function, andbcontrols the growth rate; - Plots the graph with arrows at both ends to show continuous growth;
- Marks the y-intercept at
x = 0for clarity.
Logarithmic Function
Logarithms are the inverse of exponentials, useful in scaling data and measuring natural growth processes. This function is defined as f(x)=log2β(x), meaning it calculates the power to which 2 must be raised to obtain x.
Code Breakdown
- Generates
xvalues between0.1and10(to avoidlog(0), which is undefined); - Defines
logarithmic_function(x, base=2), ensuring base2is used throughout; - The graph includes an arrow at the right end, indicating it continues indefinitely;
- The x-intercept is marked at
x = 1, wherelog_2(1) = 0.
Thanks for your feedback!