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In mathematics, a negligible function is a function \mu:\mathbb\to\mathbb such that for every positive integer ''c'' there exists an integer ''N''''c'' such that for all ''x'' > ''N''''c'', :, \mu(x), <\frac. Equivalently, the following definition may be used. A function \mu:\mathbb\to\mathbb is negligible, if for every positive polynomial poly(·) there exists an integer ''N''poly > 0 such that for all ''x'' > ''N''poly : , \mu(x), <\frac 1 .


History

The concept of ''negligibility'' can find its trace back to sound models of analysis. Though the concepts of " continuity" and "
infinitesimal In mathematics, an infinitesimal number is a non-zero quantity that is closer to 0 than any non-zero real number is. The word ''infinitesimal'' comes from a 17th-century Modern Latin coinage ''infinitesimus'', which originally referred to the " ...
" became important in mathematics during Newton and
Leibniz Gottfried Wilhelm Leibniz (or Leibnitz; – 14 November 1716) was a German polymath active as a mathematician, philosopher, scientist and diplomat who is credited, alongside Sir Isaac Newton, with the creation of calculus in addition to many ...
's time (1680s), they were not well-defined until the late 1810s. The first reasonably rigorous definition of ''continuity'' in
mathematical analysis Analysis is the branch of mathematics dealing with continuous functions, limit (mathematics), limits, and related theories, such as Derivative, differentiation, Integral, integration, measure (mathematics), measure, infinite sequences, series ( ...
was due to
Bernard Bolzano Bernard Bolzano (, ; ; ; born Bernardus Placidus Johann Nepomuk Bolzano; 5 October 1781 – 18 December 1848) was a Bohemian mathematician, logician, philosopher, theologian and Catholic priest of Italian extraction, also known for his liberal ...
, who wrote in 1817 the modern definition of continuity. Later Cauchy,
Weierstrass Karl Theodor Wilhelm Weierstrass (; ; 31 October 1815 – 19 February 1897) was a German mathematician often cited as the " father of modern analysis". Despite leaving university without a degree, he studied mathematics and trained as a school t ...
and Heine also defined as follows (with all numbers in the real number domain \mathbb): :(
Continuous function In mathematics, a continuous function is a function such that a small variation of the argument induces a small variation of the value of the function. This implies there are no abrupt changes in value, known as '' discontinuities''. More preci ...
) A function f:\mathbb\mathbb is ''continuous'' at x=x_0 if for every \varepsilon>0, there exists a positive number \delta>0 such that , x-x_0, <\delta implies , f(x)-f(x_0), <\varepsilon. This classic definition of continuity can be transformed into the definition of negligibility in a few steps by changing parameters used in the definition. First, in the case x_0=\infty with f(x_0)=0, we must define the concept of "''infinitesimal function''": :(
Infinitesimal In mathematics, an infinitesimal number is a non-zero quantity that is closer to 0 than any non-zero real number is. The word ''infinitesimal'' comes from a 17th-century Modern Latin coinage ''infinitesimus'', which originally referred to the " ...
) A continuous function \mu:\mathbb\to\mathbb is ''infinitesimal'' (as x goes to infinity) if for every \varepsilon>0 there exists N_\varepsilon such that for all x>N_\varepsilon ::, \mu(x), <\varepsilon\,. Next, we replace \varepsilon>0 by the functions 1/x^c where c>0 or by 1/\operatorname(x) where \operatorname(x) is a positive
polynomial In mathematics, a polynomial is a Expression (mathematics), mathematical expression consisting of indeterminate (variable), indeterminates (also called variable (mathematics), variables) and coefficients, that involves only the operations of addit ...
. This leads to the definitions of negligible functions given at the top of this article. Since the constants \varepsilon>0 can be expressed as 1/\operatorname(x) with a constant polynomial, this shows that infinitesimal functions are a superset of negligible functions.


Use in cryptography

In complexity-based modern
cryptography Cryptography, or cryptology (from "hidden, secret"; and ''graphein'', "to write", or ''-logy, -logia'', "study", respectively), is the practice and study of techniques for secure communication in the presence of Adversary (cryptography), ...
, a security scheme is ''
provably secure Provable security refers to any type or level of computer security that can be proved. It is used in different ways by different fields. Usually, this refers to mathematical proofs, which are common in cryptography. In such a proof, the capabilit ...
'' if the probability of security failure (e.g., inverting a
one-way function In computer science, a one-way function is a function that is easy to compute on every input, but hard to invert given the image of a random input. Here, "easy" and "hard" are to be understood in the sense of computational complexity theory, s ...
, distinguishing cryptographically strong pseudorandom bits from truly random bits) is negligible in terms of the input x = cryptographic key length n. Hence comes the definition at the top of the page because key length n must be a natural number. Nevertheless, the general notion of negligibility doesn't require that the input parameter x is the key length n. Indeed, x can be any predetermined system metric and corresponding mathematical analysis would illustrate some hidden analytical behaviors of the system. The reciprocal-of-polynomial formulation is used for the same reason that computational boundedness is defined as polynomial running time: it has mathematical closure properties that make it tractable in the
asymptotic In analytic geometry, an asymptote () of a curve is a line such that the distance between the curve and the line approaches zero as one or both of the ''x'' or ''y'' coordinates Limit of a function#Limits at infinity, tends to infinity. In pro ...
setting (see #Closure properties). For example, if an attack succeeds in violating a security condition only with negligible probability, and the attack is repeated a polynomial number of times, the success probability of the overall attack still remains negligible. In practice one might want to have more
concrete Concrete is a composite material composed of aggregate bound together with a fluid cement that cures to a solid over time. It is the second-most-used substance (after water), the most–widely used building material, and the most-manufactur ...
functions bounding the adversary's success probability and to choose the security parameter large enough that this probability is smaller than some threshold, say 2−128.


Closure properties

One of the reasons that negligible functions are used in foundations of complexity-theoretic cryptography is that they obey closure properties. Specifically, # If f,g:\mathbb\to\mathbb are negligible, then the function x\mapsto f(x)+g(x) is negligible. # If f:\mathbb\to\mathbb is negligible and p is any real polynomial, then the function x\mapsto p(x)\cdot f(x) is negligible. Conversely, if f:\mathbb\to\mathbb is not negligible, then neither is x\mapsto f(x)/p(x) for any real polynomial p.


Examples

* n \mapsto a^ is negligible for any a \geq 2: ** Step: This is an exponential decay function where a is a constant greater than or equal to 2. As n \to \infty, a^ \to 0 very quickly, making it negligible. * f(n) = 3^ is negligible: ** Step: This function has exponential decay with a base of 3, but the exponent grows slower than n (only at \sqrt). As n \to \infty, 3^ \to 0, so it’s still negligible but decays slower than 3^. * f(n) = n^ is negligible: ** Step: In this case, n^ represents a polynomial decay, with the exponent growing negatively due to \log n. Since the decay rate increases with n, the function goes to 0 faster than polynomial functions like n^ for any constant k, making it negligible. * f(n) = (\log n)^ is negligible: ** Step: This function decays as the logarithm of n raised to a negative exponent -\log n, which leads to a fast approach to 0 as n \to \infty. The decay here is faster than inverse logarithmic or polynomial rates, making it negligible. * f(n) = 2^ is not negligible, for positive c: ** Step: We can rewrite this as f(n) = n^, which is a polynomial decay rather than an exponential one. Since c is positive, f(n) \to 0 as n \to \infty, but it doesn’t decay as quickly as true exponential functions with respect to n, making it non-negligible. Assume n > 0, we take the limit as n \to \infty: Negligible: * f(n) = \frac: ** Step: This function decays exponentially with base x raised to the power of -\frac. As n \to \infty, x^ \to 0 quickly, making it negligible. * f(n) = \frac for k \geq 1: ** Step: We can simplify x^ as n^, which decays faster than any polynomial. As n \to \infty, the function approaches zero and is considered negligible for any k \geq 1 and x > 1. * f(n) = \frac for k \geq 1: ** Step: The decay is determined by the base x raised to the power of -(\log n)^k. Since (\log n)^k grows with n, this function approaches zero faster than polynomial decay, making it negligible.= * f(n) = \frac: ** Step: Here, f(n) decays exponentially with a base of x raised to -\sqrt. As n \to \infty, f(n) \to 0 quickly, so it’s considered negligible. Non-negligible: * f(n) = \frac: ** Step: Since n^ \to 1 as n \to \infty, this function decays very slowly, failing to approach zero quickly enough to be considered negligible. * f(n) = \frac: ** Step: With an exponential base and exponent n(\log n), this function would approach zero very rapidly, suggesting negligibility.


See also

*
Negligible set In mathematics, a negligible set is a set that is small enough that it can be ignored for some purpose. As common examples, finite sets can be ignored when studying the limit of a sequence, and null sets can be ignored when studying the integral ...
* Colombeau algebra * Nonstandard numbers * Gromov's theorem on groups of polynomial growth * Non-standard calculus


References

* * * * * {{cite journal , first = Mihir , last = Bellare , date = 1997 , citeseerx = 10.1.1.43.7900 , title = A Note on Negligible Functions , journal = Journal of Cryptology , volume = 15 , page = 2002 , publisher = Dept. of Computer Science & Engineering University of California at San Diego Mathematical analysis Types of functions