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Mathematics in Cybersecurity
book

Mathematics in Cybersecurity

by Alfred Basta, Stephan Delong, Stavros Basta
March 2026
Intermediate
512 pages
14h 19m
English
Wiley
Content preview from Mathematics in Cybersecurity

9Exponentials and Algorithms

9.1 Exponential Functions

Exponential functions exhibit a rate of change—the change per instant or unit of time—proportional to the function's current value. If that rate of change is positive, the situation is described as exponential growth, while a negative change is described as exponential decay.

These functions are characterized by a constant base that is raised to a variable power. When we say a “variable power,” we refer to a situation where the exponent is an expression involving a variable, such as x. We shall find these functions play a crucial role in modeling a wide range of phenomena in various fields, such as finance, biology, chemistry, and physics.

The general form of an exponential function is:

f (x) = a · bx

where

  • a, the constant coefficient of the exponential, also happens to be the y-intercept of the graph, or the initial value of the function.
  • b is the base of the exponential, a non-negative real number not equal to 1, whose value determines the rate of growth or decay.
  • x is the variable exponent in the general form.

9.1.1 Properties of Exponential Functions When Stated in General Form

  1. Increasing or decreasing: Exponential functions either increase or decrease throughout their domain, depending on the value of the exponential base b:
    • If b > 1, the function is increasing (exponential growth).
    • If 0 < b < 1, the function is decreasing (exponential decay).
  2. Asymptotic behavior: Exponential functions of the form f(x) = a * ...
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