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Net (mathematics)

Net (mathematics) 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 Net (mathematics) rather than just read about it. In short: In mathematics, more specifically in general topology and related branches, a net or Moore–Smith sequence is a function whose domain is a directed set. The codomain of this function is usually some topological space.

Key takeaways

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

Reference excerpt

In mathematics, more specifically in general topology and related branches, a net or Moore–Smith sequence is a function whose domain is a directed set. The codomain of this function is usually some topological space. Nets directly generalize the concept of a sequence in a metric space. Nets are primarily used in the fields of analysis and topology, where they are used to characterize many important topological properties that (in general) sequences are unable to characterize (this shortcoming of sequences motivated the study of sequential spaces and Fréchet–Urysohn spaces). Nets are in one-to-one correspondence with filters.

History The concept of a net was first introduced by E. H. Moore and Herman L. Smith in 1922. The term "net" was coined by John L. Kelley. The related concept of a filter was developed in 1937 by Henri Cartan.

Definitions A directed set is a non-empty set A {\displaystyle A} together with a preorder, typically automatically assumed to be denoted by ≤ {\displaystyle \,\leq \,} (unless indicated otherwise), with the property that it is also (upward) directed, which means that for any a , b ∈ A , {\displaystyle a,b\in A,} there exists some c ∈ A {\displaystyle c\in A} such that a ≤ c {\displaystyle a\leq c} and b ≤ c . {\displaystyle b\leq c.} In words, this property means that given any two elements (of A {\displaystyle A} ), there is always some element that is "above" both of them (greater than or equal to each); in this way, directed sets generalize the notion of "a direction" in a mathematically rigorous way. Importantly though, directed sets are not required to be total orders or even partial orders. A directed set may have a greatest element. In this case, the conditions a ≤ c {\displaystyle a\leq c} and b ≤ c {\displaystyle b\leq c} cannot be replaced by the strict inequalities a < c {\displaystyle a<c} and b < c {\displaystyle b<c} , since the strict inequalities cannot be satisfied if a or b is a greatest element. A net in X {\displaystyle X} , denoted x ∙ = ( x a ) a ∈ A {\displaystyle x_{\bullet }=\left(x_{a}\right)_{a\in A}} , is a function of the form x ∙ : A → X {\displaystyle x_{\bullet }:A\to X} whose domain A {\displaystyle A} is some directed set, and whose values are x ∙ ( a ) = x a {\displaystyle x_{\bullet }(a)=x_{a}} . Elements of a net's domain are called its indices. When the set X {\displaystyle X} is clear from context it is simply called a net, and one assumes A {\displaystyle A} is a directed set with preorder ≤ . {\displaystyle \,\leq .} Notation for nets varies, for example using angled brackets ⟨ x a ⟩ a ∈ A {\displaystyle \left\langle x_{a}\right\rangle _{a\in A}} . As is common in algebraic topology notation, the filled disk or "bullet" stands in place of the input variable or index a ∈ A {\displaystyle a\in A} .

Limits of nets

A net x ∙ = ( x a ) a ∈ A {\displaystyle x_{\bullet }=\left(x_{a}\right)_{a\in A}} is said to be eventually or residually in a set S {\displaystyle S} if there exists some a ∈ A {\displaystyle a\in A} such that for every b ∈ A {\displaystyle b\in A} with b ≥ a , {\displaystyle b\geq a,} the point x b ∈ S . {\displaystyle x_{b}\in S.} A point x ∈ X {\displaystyle x\in X} is called a limit point or limit of the net x ∙ {\displaystyle x_{\bullet }} in X {\displaystyle X} whenever:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Net (mathematics)

Start with the simplest possible case. Write down what Net (mathematics) 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 Net (mathematics) 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 Net (mathematics) 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 Net (mathematics)

In research
Net (mathematics) 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 Net (mathematics) 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
Net (mathematics) is common in secondary-school and first-year university syllabi. It links to neighbouring topics General topology, so understanding it makes those chapters shorter.
In everyday life
Look for Net (mathematics) 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 Net (mathematics) in 20 minutes

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

Frequently asked questions

What is Net (mathematics) in simple terms?

In mathematics, more specifically in general topology and related branches, a net or Moore–Smith sequence is a function whose domain is a directed set. The codomain of this function is usually some topological space.

Why does Net (mathematics) 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 Net (mathematics)?

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 Net (mathematics).

Tags

  • General topology

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