# Monotonic Function

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## monotonic function

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(mathematics)
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
The following article is from The Great Soviet Encyclopedia (1979). It might be outdated or ideologically biased.

## Monotonic Function

(or monotone function), a function whose increments Δf(x) = f(x′) − f(x) do not change sign when Δx = x′ − x > 0; that is, the increments are either always nonnegative or always nonpositive. Somewhat inaccurately, a monotonic function can be defined as a function that always varies in the same direction. Different types of monotonic functions are represented in Figure 1. For example, the function y = x3 is an increasing function. If a function f(x) has a derivative f′(x) that is nonnegative at every point and that vanishes only at a finite number of individual points, then f(x) is an increasing function. Similarly, if f′(x) ≤ 0 and vanishes only at a finite number of points, then f(x) is a decreasing function.

Figure 1

A monotonicity condition can hold either for all x or for x on a given interval. In the latter case, the function is said to be monotonic on this interval. For example, the function y = increases on the interval [−1,0] and decreases on the interval [0, +1]. A monotonic function is one of the simplest classes of functions and is continually encountered in mathematical analysis and the theory of functions. If f(x) is a monotonic function, then the following limits exist for any X0:

and

The Great Soviet Encyclopedia, 3rd Edition (1970-1979). © 2010 The Gale Group, Inc. All rights reserved.
References in periodicals archive ?
As the optimal price is invariant under a monotone transformation, we may equivalently consider the objective
Because the exponential (exp) is a monotone transformation and exp(log) is the identity function, it follows that [PI] also satisfies the single-crossing property for all D functions because the latter property is preserved by monotone transformations.
(9) Observe here that taking monotone transformation of a nonsupermodular objective function may bring about supermolodularity of the transformed objective.
Because monotone transformations leave the best-reply structure unchanged and log[F.sub.i]([p.sup.i],[p.sup.-i]) = log([p.sup.i] - [c.sub.i]) + log[D.sub.i]([p.sup.i], [p.sup.-i], it follows (Milgrom and Roberts 1990b) that the game is log-supermodular if log [D.sub.i] has increasing differences in ([p.sup.i], [p.sup.-i]) or, equivalently, using the cross-partial test, if, for all j [not equal to] i,

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