Exponential Roots

exponential_roots(first_constant, second_constant, precision=4)

Calculates the roots of an exponential function

Parameters

  • first_constant (int or float) – Constant multiple of the original exponential function; if zero, it will be converted to a small, non-zero decimal value (e.g., 0.0001)

  • second_constant (int or float) – Base rate of variable of the original exponential function; if zero, it will be converted to a small, non-zero decimal value (e.g., 0.0001)

  • precision (int, default=4) – Maximum number of digits that can appear after the decimal place of the resultant roots

Raises

  • TypeError – First two arguments must be integers or floats

  • ValueError – Last argument must be a positive integer

Returns

roots – List of the x-coordinates of all of the x-intercepts of the original function; if the function never crosses the x-axis, then it will return a list of None

Return type

list of float

See also

exponential_equation(), exponential_derivatives(), exponential_integral(), exponential_model()

Notes

  • Standard form of a exponential function: \(f(x) = a\cdot{b^x}\)

  • Exponential formula: \(x = \varnothing\)

Examples

Import exponential_roots function from regressions library
>>> from regressions.analyses.roots.exponential import exponential_roots
Calculate the roots of an exponential function with coefficients 2 and 3
>>> roots_first = exponential_roots(2, 3)
>>> print(roots_first)
[None]
Calculate the roots of an exponential function with coefficients -2 and 3
>>> roots_second = exponential_roots(-2, 3)
>>> print(roots_second)
[None]
Calculate the roots of an exponential function with all inputs set to 0
>>> roots_zeroes = exponential_roots(0, 0)
>>> print(roots_zeroes)
[None]