Absolute difference

The absolute difference of two real numbers and is given by , the absolute value of their difference. It describes the distance on the real line between the points corresponding to and , and is a special case of the Lp distance for all . Its applications in statistics include the absolute deviation from a central tendency.
Properties
Absolute difference has the following properties:
- For , (zero is the identity element on non-negative numbers)[1]
- For all , (every element is its own inverse element)[1]
- (non-negativity)[2]
- if and only if (nonzero for distinct arguments).[2]
- (symmetry or commutativity).[1][2]
- (the triangle inequality);[2][3] equality holds if and only if or .
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",[5] 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 , including the and cases (taxicab geometry and Euclidean distance, respectively). It is also the one-dimensional special case of hyperbolic distance.
Instead of , the absolute difference may also be expressed as Generalizing this to more than two values, in any subset of the real numbers which has an infimum and a supremum, the absolute difference between any two numbers in is less or equal then the absolute difference of the infimum and supremum of .
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.[6]
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.[7]
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.[8]
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
- ↑ 1.0 1.1 1.2 1.3 Talukdar, D.; Das, N. R. (July 1996). "80.33 Measuring associativity in a groupoid of natural numbers". The Mathematical Gazette 80 (488): 401–404. doi:10.2307/3619592.
- ↑ 2.0 2.1 2.2 2.3 2.4 Kubrusly, Carlos S. (2001). Elements of Operator Theory. Boston: Birkhäuser. p. 86. doi:10.1007/978-1-4757-3328-0. ISBN 9781475733280. https://books.google.com/books?id=0ijlBwAAQBAJ&pg=PA86.
- ↑ Khamsi, Mohamed A.; Kirk, William A. (2011). "1.3 The triangle inequality in ". An Introduction to Metric Spaces and Fixed Point Theory. John Wiley & Sons. pp. 7–8. ISBN 9781118031322. https://books.google.com/books?id=3ZlpXpedkasC&pg=PA7.
- ↑ Georgiev, Svetlin G.; Zennir, Khaled (2019). Functional Analysis with Applications. Walter de Gruyter GmbH. p. 25. ISBN 9783110657722. https://books.google.com/books?id=1XicDwAAQBAJ&pg=PA25.
- ↑ Khamsi & Kirk (2011), p. 14.
- ↑ Reba, Marilyn A.; Shier, Douglas R. (2014). Puzzles, Paradoxes, and Problem Solving: An Introduction to Mathematical Thinking. CRC Press. p. 463. ISBN 9781482297935. https://books.google.com/books?id=4rDNBQAAQBAJ&pg=PA463.
- ↑ "How to number a graph". Graph Theory and Computing. Academic Press. 1972. pp. 23–37. doi:10.1016/B978-1-4832-3187-7.50008-8. https://books.google.com/books?id=ja7iBQAAQBAJ&pg=PA23.
- ↑ Webb, Andrew R. (2003). Statistical Pattern Recognition (2nd ed.). John Wiley & Sons. p. 421. ISBN 9780470854785. https://books.google.com/books?id=ivMBWCe_f0gC&pg=PA421.
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