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Standard part function

Standard part 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 Standard part function rather than just read about it. In short: In nonstandard analysis, the standard part function is a function from the limited (finite) hyperreal numbers to the real numbers. Briefly, the standard part function "rounds off" a finite hyperreal to the nearest real.

Standard part function — main illustration
Standard part function — illustration

Key takeaways

  • Standard part 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 Standard part function to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Standard part function from memory before moving on to harder problems.

Reference excerpt

In nonstandard analysis, the standard part function is a function from the limited (finite) hyperreal numbers to the real numbers. Briefly, the standard part function "rounds off" a finite hyperreal to the nearest real. It associates to every such hyperreal x {\displaystyle x} , the unique real x 0 {\displaystyle x_{0}} infinitely close to it, i.e. x − x 0 {\displaystyle x-x_{0}} is infinitesimal. As such, it is a mathematical implementation of the historical concept of adequality introduced by Pierre de Fermat, as well as Leibniz's transcendental law of homogeneity. The standard part function was first defined by Abraham Robinson who used the notation

∘ x {\displaystyle {}^{\circ }x} for the standard part of a hyperreal x {\displaystyle x} (see Robinson 1974). This concept plays a key role in defining the concepts of the calculus, such as continuity, the derivative, and the integral, in nonstandard analysis. The latter theory is a rigorous formalization of calculations with infinitesimals. The standard part of x is sometimes referred to as its shadow.

Definition

Nonstandard analysis deals primarily with the pair R ⊆

∗ R {\displaystyle \mathbb {R} \subseteq {}^{*}\mathbb {R} } , where the hyperreals

∗ R {\displaystyle {}^{*}\mathbb {R} } are an ordered field extension of the reals R {\displaystyle \mathbb {R} } , and contain infinitesimals, in addition to the reals. In the hyperreal line every real number has a collection of numbers (called a monad, or halo) of hyperreals infinitely close to it. The standard part function associates to a finite hyperreal x, the unique standard real number x0 that is infinitely close to it. The relationship is expressed symbolically by writing

st ⁡ ( x ) = x 0 . {\displaystyle \operatorname {st} (x)=x_{0}.}

The standard part of any infinitesimal is 0. Thus if N is an infinite hypernatural, then 1/N is infinitesimal, and st(1/N) = 0. If a hyperreal u {\displaystyle u} is represented by a Cauchy sequence ⟨ u n : n ∈ N ⟩ {\displaystyle \langle u_{n}:n\in \mathbb {N} \rangle } in the ultrapower construction, then

st ⁡ ( u ) = lim n → ∞ u n . {\displaystyle \operatorname {st} (u)=\lim _{n\to \infty }u_{n}.}

More generally, each finite u ∈

∗ R {\displaystyle u\in {}^{*}\mathbb {R} } defines a Dedekind cut on the subset R ⊆

∗ R {\displaystyle \mathbb {R} \subseteq {}^{*}\mathbb {R} } (via the total order on

∗ R {\displaystyle {}^{\ast }\mathbb {R} } ) and the corresponding real number is the standard part of u.

Not internal The standard part function "st" is not defined by an internal set. There are several ways of explaining this. Perhaps the simplest is that its domain L, which is the collection of limited (i.e. finite) hyperreals, is not an internal set. Namely, since L is bounded (by any infinite hypernatural, for instance), L would have to have a least upper bound if L were internal, but L doesn't have a least upper bound. Alternatively, the range of "st" is R ⊆

∗ R {\displaystyle \mathbb {R} \subseteq {}^{*}\mathbb {R} } , which is not internal; in fact every internal set in

∗ R {\displaystyle {}^{*}\mathbb {R} } that is a subset of R {\displaystyle \mathbb {R} } is necessarily finite.

Applications All the traditional notions of calculus can be expressed in terms of the standard part function, as follows.

Derivative The standard part function is used to define the derivative of a function f. If f is a real function, and h is infinitesimal, and if f′(x) exists, then

f ′ ( x ) = st ⁡ ( f ( x + h ) − f ( x ) h ) . {\displaystyle f'(x)=\operatorname {st} \left({\frac {f(x+h)-f(x)}{h}}\right).}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Standard part function

Start with the simplest possible case. Write down what Standard part 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 Standard part 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 Standard part 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 Standard part function

In research
Standard part 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 Standard part 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
Standard part function is common in secondary-school and first-year university syllabi. It links to neighbouring topics Calculus, Nonstandard analysis, Real closed field, so understanding it makes those chapters shorter.
In everyday life
Look for Standard part 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 Standard part function in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Standard part 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 Standard part function out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Standard part function in simple terms?

In nonstandard analysis, the standard part function is a function from the limited (finite) hyperreal numbers to the real numbers. Briefly, the standard part function "rounds off" a finite hyperreal to the nearest real.

Why does Standard part 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 Standard part 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 Standard part function.

Tags

  • Calculus
  • Nonstandard analysis
  • Real closed field

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