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Microcontinuity

Microcontinuity 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 Microcontinuity rather than just read about it. In short: In nonstandard analysis, a discipline within classical mathematics, microcontinuity (or S-continuity) of an internal function f at a point a is defined as follows: for all x infinitely close to a, the value f(x) is infinitely close to f(a). Here x runs through the domain of f.

Key takeaways

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

Reference excerpt

In nonstandard analysis, a discipline within classical mathematics, microcontinuity (or S-continuity) of an internal function f at a point a is defined as follows:

for all x infinitely close to a, the value f(x) is infinitely close to f(a). Here x runs through the domain of f. In formulas, this can be expressed as follows:

if x ≈ a {\displaystyle x\approx a} then f ( x ) ≈ f ( a ) {\displaystyle f(x)\approx f(a)} . For a function f defined on R {\displaystyle \mathbb {R} } , the definition can be expressed in terms of the halo as follows: f is microcontinuous at c ∈ R {\displaystyle c\in \mathbb {R} } if and only if f ( h a l ( c ) ) ⊆ h a l ( f ( c ) ) {\displaystyle f(hal(c))\subseteq hal(f(c))} , where the natural extension of f to the hyperreals is still denoted f. Alternatively, the property of microcontinuity at c can be expressed by stating that the composition st ∘ f {\displaystyle {\text{st}}\circ f} is constant on the halo of c, where "st" is the standard part function.

History The modern property of continuity of a function was first defined by Bolzano in 1817. However, Bolzano's work was not noticed by the larger mathematical community until its rediscovery in Heine in the 1860s. Meanwhile, Cauchy's textbook Cours d'Analyse defined continuity in 1821 using infinitesimals as above.

Continuity and uniform continuity The property of microcontinuity is typically applied to the natural extension f* of a real function f. Thus, f defined on a real interval I is continuous if and only if f* is microcontinuous at every point of I. Meanwhile, f is uniformly continuous on I if and only if f* is microcontinuous at every point (standard and nonstandard) of the natural extension I* of its domain I (see Davis, 1977, p. 96).

Example 1 The real function f ( x ) = 1 x {\displaystyle f(x)={\tfrac {1}{x}}} on the open interval (0,1) is not uniformly continuous because the natural extension f* of f fails to be microcontinuous at an infinitesimal a > 0 {\displaystyle a>0} . Indeed, for such an a, the values a and 2a are infinitely close, but the values of f*, namely 1 a {\displaystyle {\tfrac {1}{a}}} and 1 2 a {\displaystyle {\tfrac {1}{2a}}} are not infinitely close.

Example 2 The function f ( x ) = x 2 {\displaystyle f(x)=x^{2}} on R {\displaystyle \mathbb {R} } is not uniformly continuous because f* fails to be microcontinuous at an infinite point H ∈ R ∗ {\displaystyle H\in \mathbb {R} ^{*}} . Namely, setting e = 1 H {\displaystyle e={\tfrac {1}{H}}} and K = H + e, one easily sees that H and K are infinitely close but f*(H) and f*(K) are not infinitely close.

Uniform convergence Uniform convergence similarly admits a simplified definition in a hyperreal setting. Thus, a sequence f n {\displaystyle f_{n}} converges to f uniformly if for all x in the domain of f* and all infinite n, f n ∗ ( x ) {\displaystyle f_{n}^{*}(x)} is infinitely close to f ∗ ( x ) {\displaystyle f^{*}(x)} .

See also Standard part function

Bibliography Martin Davis (1977) Applied nonstandard analysis. Pure and Applied Mathematics. Wiley-Interscience [John Wiley & Sons], New York-London-Sydney. xii+181 pp. ISBN 0-471-19897-8 Gordon, E. I.; Kusraev, A. G.; Kutateladze, S. S.: Infinitesimal analysis. Updated and revised translation of the 2001 Russian original. Translated by Kutateladze. Mathematics and its Applications, 544. Kluwer Academic Publishers, Dordrecht, 2002.

References

Worked examples

Example 1 — a first encounter with Microcontinuity

Start with the simplest possible case. Write down what Microcontinuity 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 Microcontinuity 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 Microcontinuity 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 Microcontinuity

In research
Microcontinuity 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 Microcontinuity 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
Microcontinuity is common in secondary-school and first-year university syllabi. It links to neighbouring topics Nonstandard analysis, Theory of continuous functions, so understanding it makes those chapters shorter.
In everyday life
Look for Microcontinuity 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 Microcontinuity in 20 minutes

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

Frequently asked questions

What is Microcontinuity in simple terms?

In nonstandard analysis, a discipline within classical mathematics, microcontinuity (or S-continuity) of an internal function f at a point a is defined as follows: for all x infinitely close to a, the value f(x) is infinitely close to f(a). Here x runs through the domain of f.

Why does Microcontinuity 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 Microcontinuity?

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 Microcontinuity.

Tags

  • Nonstandard analysis
  • Theory of continuous functions

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