Absolute difference

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Template:Short description

Showing the absolute difference of real numbers x and y as the distance between them on the real line.

The absolute difference of two real numbers x and y is given by |x−y|, the absolute value of their difference. It describes the distance on the real line between the points corresponding to x and y, and is a special case of the Lp distance for all 1≤p≤∞. Its applications in statistics include the absolute deviation from a central tendency.

Properties

Absolute difference has the following properties:

Because it is non-negative, nonzero for distinct arguments, symmetric, and obeys the triangle inequality, the real numbers form a metric space with the absolute difference as its distance, the familiar measure of distance along a line.[4] It has been called "the most natural metric space",Template:Sfnp and "the most important concrete metric space".[2] This distance generalizes in many different ways to higher dimensions, as a special case of the Lp distances for all 1≤p≤∞, including the p=1 and p=2 cases (taxicab geometry and Euclidean distance, respectively). It is also the one-dimensional special case of hyperbolic distance.

Instead of |x−y|, the absolute difference may also be expressed as max⁡(x,y)−min⁡(x,y). Generalizing this to more than two values, in any subset S of the real numbers which has an infimum and a supremum, the absolute difference between any two numbers in S is less or equal than the absolute difference of the infimum and supremum Template:Nowrap

The absolute difference takes non-negative integers to non-negative integers. As a binary operation that is commutative but not associative, with an identity element on the non-negative numbers, the absolute difference gives the non-negative numbers (whether real or integer) the algebraic structure of a commutative magma with identity.[1]

Applications

The absolute difference is used to define the relative difference, the absolute difference between a given value and a reference value divided by the reference value itself.[5]

In the theory of graceful labelings in graph theory, vertices are labeled by natural numbers and edges are labeled by the absolute difference of the numbers at their two vertices. A labeling of this type is graceful when the edge labels are distinct and consecutive from 1 to the number of edges.[6]

As well as being a special case of the Lp distances, absolute difference can be used to define Chebyshev distance (L∞), in which the distance between points is the maximum or supremum of the absolute differences of their coordinates.[7]

In statistics, the absolute deviation of a sampled number from a central tendency is its absolute difference from the center, the average absolute deviation is the average of the absolute deviations of a collection of samples, and least absolute deviations is a method for robust statistics based on minimizing the average absolute deviation.

References

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