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Negligible function

Negligible function is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Negligible function rather than just read about it. In short: In mathematics, a negligible function is a function μ : N → R {\displaystyle \mu :\mathbb {N} \to \mathbb {R} } such that for every positive integer c there exists an integer Nc such that for all n > Nc, | μ ( n ) | < 1 n c . {\displaystyle |\mu (n)|<{\frac {1}{n^{c}}}.} Equivalently, the following definition may be used. A function μ : N → R {\displaystyle \mu :\mathbb {N} \to \mathbb {R} } is negligible, if for ev…

Key takeaways

  • Negligible function belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Negligible function to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Negligible function from memory before moving on to harder problems.

Reference excerpt

In mathematics, a negligible function is a function μ : N → R {\displaystyle \mu :\mathbb {N} \to \mathbb {R} } such that for every positive integer c there exists an integer Nc such that for all n > Nc,

| μ ( n ) | < 1 n c . {\displaystyle |\mu (n)|<{\frac {1}{n^{c}}}.}

Equivalently, the following definition may be used. A function μ : N → R {\displaystyle \mu :\mathbb {N} \to \mathbb {R} } is negligible, if for every positive polynomial poly(·) there exists an integer Npoly > 0 such that for all n > Npoly

| μ ( n ) | < 1 poly ⁡ ( n ) . {\displaystyle |\mu (n)|<{\frac {1}{\operatorname {poly} (n)}}.}

History The concept of negligibility can find its trace back to sound models of analysis. Though the concepts of "continuity" and "infinitesimal" became important in mathematics during Newton and Leibniz's time (1680s), they were not well-defined until the late 1810s. The first reasonably rigorous definition of continuity in mathematical analysis was due to Bernard Bolzano, who wrote in 1817 the modern definition of continuity. Later Cauchy, Weierstrass and Heine also defined as follows (with all numbers in the real number domain R {\displaystyle \mathbb {R} } ):

(Continuous function) A function f : R → R {\displaystyle f:\mathbb {R} {\rightarrow }\mathbb {R} } is continuous at x = x 0 {\displaystyle x=x_{0}} if for every ε > 0 {\displaystyle \varepsilon >0} , there exists a positive number δ > 0 {\displaystyle \delta >0} such that | x − x 0 | < δ {\displaystyle |x-x_{0}|<\delta } implies | f ( x ) − f ( x 0 ) | < ε . {\displaystyle |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 = ∞ {\displaystyle x_{0}=\infty } with f ( x 0 ) = 0 {\displaystyle f(x_{0})=0} , we must define the concept of "infinitesimal function":

(Infinitesimal) A continuous function μ : R → R {\displaystyle \mu :\mathbb {R} \to \mathbb {R} } is infinitesimal (as x {\displaystyle x} goes to infinity) if for every ε > 0 {\displaystyle \varepsilon >0} there exists N ε {\displaystyle N_{\varepsilon }} such that for all x > N ε {\displaystyle x>N_{\varepsilon }}

| μ ( x ) | < ε . {\displaystyle |\mu (x)|<\varepsilon \,.}

Next, in the discrete setting where the domain is restricted to natural numbers n ∈ N {\displaystyle n\in \mathbb {N} } , we replace ε > 0 {\displaystyle \varepsilon >0} by the functions 1 / n c {\displaystyle 1/n^{c}} where c > 0 {\displaystyle c>0} or by 1 / poly ⁡ ( n ) {\displaystyle 1/\operatorname {poly} (n)} where poly ⁡ ( n ) {\displaystyle \operatorname {poly} (n)} is a positive polynomial. This leads to the definitions of negligible functions given at the top of this article. Since the constants ε > 0 {\displaystyle \varepsilon >0} can be expressed as 1 / poly ⁡ ( n ) {\displaystyle 1/\operatorname {poly} (n)} with a constant polynomial, this shows that infinitesimal functions (restricted to N {\displaystyle \mathbb {N} } ) are a superset of negligible functions.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Negligible function

Start with the simplest possible case. Write down what Negligible function claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Negligible function before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Negligible function ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Negligible function

In research
Negligible function appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Negligible function in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Negligible function is common in secondary-school and first-year university syllabi. It links to neighbouring topics Mathematical analysis, Types of functions, so understanding it makes those chapters shorter.
In everyday life
Look for Negligible function outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Negligible function in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Negligible function means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Negligible function out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Negligible function in simple terms?

In mathematics, a negligible function is a function μ : N → R {\displaystyle \mu :\mathbb {N} \to \mathbb {R} } such that for every positive integer c there exists an integer Nc such that for all n > Nc, | μ ( n ) | < 1 n c . {\displaystyle |\mu (n)|<{\frac {1}{n^{c}}}.} Equivalently, the following…

Why does Negligible function matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Negligible function?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Negligible function.

Tags

  • Mathematical analysis
  • Types of functions

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