**Table of Contents**Show

## Introduction

Piecewise defined functions are mathematical functions that are defined by different formulas or rules over different intervals. These functions are typically used to model real-world phenomena that involve different behaviors under different conditions. In this article, we will compare and contrast the following piecewise defined functions: the absolute value function and the step function.

## Absolute Value Function

The absolute value function, denoted by |x|, is a piecewise defined function that returns the distance of a number from the origin on the number line. It is defined as follows:

– |x| = x, if x ≥ 0

– |x| = -x, if x Step Function

The step function, denoted by u(x), is a piecewise defined function that returns the value 0 for x – u(x) = 0, if x – u(x) = 1, if x ≥ 0

The step function is often used to model phenomena that exhibit sudden changes at a specific threshold or cutoff point.

## Comparing the Functions

Now, let’s compare and contrast the absolute value function and the step function based on various aspects.

**1. Domain and Range:** The domain of the absolute value function is all real numbers, while the range is also all real numbers greater than or equal to 0. On the other hand, the domain of the step function is all real numbers, and the range is the set {0, 1}.

**2. Function Behavior:** The absolute value function exhibits symmetry across the y-axis, with its graph being symmetric about the y-axis. Conversely, the step function is a piecewise constant function, with its graph being a horizontal line at y = 0 for x 3. Continuity: The absolute value function is continuous everywhere, while the step function is not continuous at x = 0, as it exhibits a jump discontinuity at this point.

**4. Application:** The absolute value function is commonly used in mathematics, physics, and engineering to model quantities that have magnitude but not direction, such as distance, velocity, and electric potential. In contrast, the step function is often used to represent the behavior of systems that undergo an abrupt change, such as in control systems and signal processing.

**5. Graphical Representation:** The graph of the absolute value function is a V-shape, whereas the graph of the step function is a horizontal line that “jumps” from 0 to 1 at x = 0.

## Contrasting the Functions

Let’s now delve deeper into the differences between the absolute value function and the step function.

**1. Behavior near the Origin:** The absolute value function changes its slope at x = 0, resulting in a sharp turn at the origin. On the other hand, the step function jumps abruptly from 0 to 1 at x = 0, without any change in slope.

**2. Continuity:** The absolute value function is continuous at all points, including x = 0 where the slope changes. In contrast, the step function is not continuous at x = 0 and exhibits a jump discontinuity at this point.

**3. Representation of Sudden Changes:** The absolute value function does not explicitly represent sudden changes, as it smoothly transitions from one branch to another. In contrast, the step function explicitly captures sudden changes, as it jumps from 0 to 1 at a specific point.

**4. Use in Engineering and Signal Processing:** While the absolute value function is useful for representing magnitude-based quantities, the step function is particularly handy in applications such as digital signal processing, where it can model the on/off behavior of a digital signal or the step response of a system.

## Conclusion

In conclusion, while both the absolute value function and the step function are piecewise defined functions, they exhibit distinct behaviors and are used for different purposes. The absolute value function is characterized by its symmetric V-shape and is commonly used to represent magnitudes, distances, and potentials. On the other hand, the step function is a piecewise constant function that “jumps” from 0 to 1 at a specific threshold, and it finds applications in modeling abrupt changes in systems and signal processing. Understanding the differences between these functions is crucial for their appropriate application in various mathematical and engineering contexts.