ArticleslgStudy

science

Separoid

Separoid is a science 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 Separoid rather than just read about it. In short: In mathematics, a separoid is a binary relation between disjoint sets which is stable as an ideal in the canonical order induced by inclusion. Many mathematical objects which appear to be quite different, find a common generalisation in the framework of separoids; e.g., graphs, configurations of convex sets, oriented matroids, and polytopes.

Key takeaways

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

Reference excerpt

In mathematics, a separoid is a binary relation between disjoint sets which is stable as an ideal in the canonical order induced by inclusion. Many mathematical objects which appear to be quite different, find a common generalisation in the framework of separoids; e.g., graphs, configurations of convex sets, oriented matroids, and polytopes. Any countable category is an induced subcategory of separoids when they are endowed with homomorphisms (viz., mappings that preserve the so-called minimal Radon partitions). In this general framework, some results and invariants of different categories turn out to be special cases of the same aspect; e.g., the pseudoachromatic number from graph theory and the Tverberg theorem from combinatorial convexity are simply two faces of the same aspect, namely, complete colouring of separoids.

The axioms A separoid is a set S {\displaystyle S} endowed with a binary relation ∣ ⊆ 2 S × 2 S {\displaystyle \mid \ \subseteq 2^{S}\times 2^{S}} on its power set, which satisfies the following simple properties for A , B ⊆ S {\displaystyle A,B\subseteq S} :

A ∣ B ⇔ B ∣ A , {\displaystyle A\mid B\Leftrightarrow B\mid A,}

A ∣ B ⇒ A ∩ B = ∅ , {\displaystyle A\mid B\Rightarrow A\cap B=\varnothing ,}

A ∣ B and A ′ ⊂ A ⇒ A ′ ∣ B . {\displaystyle A\mid B{\hbox{ and }}A'\subset A\Rightarrow A'\mid B.}

A related pair A ∣ B {\displaystyle A\mid B} is called a separation and we often say that A is separated from B. It is enough to know the maximal separations to reconstruct the separoid. A mapping φ : S → T {\displaystyle \varphi \colon S\to T} is a morphism of separoids if the preimages of separations are separations; that is, for A , B ⊆ T {\displaystyle A,B\subseteq T}

A ∣ B ⇒ φ − 1 ( A ) ∣ φ − 1 ( B ) . {\displaystyle A\mid B\Rightarrow \varphi ^{-1}(A)\mid \varphi ^{-1}(B).}

Examples Examples of separoids can be found in almost every branch of mathematics. Here we list just a few. 1. Given a graph G=(V,E), we can define a separoid on its vertices by saying that two (disjoint) subsets of V, say A and B, are separated if there are no edges going from one to the other; i.e.,

A ∣ B ⇔ ∀ a ∈ A and b ∈ B : a b ∉ E . {\displaystyle A\mid B\Leftrightarrow \forall a\in A{\hbox{ and }}b\in B\colon ab\not \in E.}

2. Given an oriented matroid M = (E,T), given in terms of its topes T, we can define a separoid on E by saying that two subsets are separated if they are contained in opposite signs of a tope. In other words, the topes of an oriented matroid are the maximal separations of a separoid. This example includes, of course, all directed graphs. 3. Given a family of objects in a Euclidean space, we can define a separoid in it by saying that two subsets are separated if there exists a hyperplane that separates them; i.e., leaving them in the two opposite sides of it. 4. Given a topological space, we can define a separoid saying that two subsets are separated if there exist two disjoint open sets which contains them (one for each of them).

The basic lemma Every separoid can be represented with a family of convex sets in some Euclidean space and their separations by hyperplanes.

References

Further reading Strausz, Ricardo (1998). "Separoides". Situs, Serie B, No 5. Universidad Nacional Autónoma de México. Montellano-Ballesteros, Juan José; Por, Attila; Strausz, Ricardo (2006). "Tverberg-type theorems for separoids". Discrete and Computational Geometry. 35 (3): 513–523. doi:10.1007/s00454-005-1229-4. Bracho, Javier; Strausz, Ricardo (2006). "Two geometric representations of separoids". Periodica Mathematica Hungarica. 53 (1–2): 115–120. doi:10.1007/s10998-006-0025-0. Strausz, Ricardo (2008). "Erdös-Szekeres 'happy end'-type theorems for separoids". European Journal of Combinatorics. 29 (4): 1076–1085. doi:10.1016/j.ejc.2007.11.011.

Worked examples

Example 1 — a first encounter with Separoid

Start with the simplest possible case. Write down what Separoid claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Separoid 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 Separoid 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 Separoid

In research
Separoid appears in science 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 Separoid 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
Separoid is common in secondary-school and first-year university syllabi. It links to neighbouring topics Binary relations, so understanding it makes those chapters shorter.
In everyday life
Look for Separoid 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.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Separoid in 20 minutes

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

Frequently asked questions

What is Separoid in simple terms?

In mathematics, a separoid is a binary relation between disjoint sets which is stable as an ideal in the canonical order induced by inclusion. Many mathematical objects which appear to be quite different, find a common generalisation in the framework of separoids; e.g., graphs, configurations of co…

Why does Separoid matter?

Because it connects several science 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 Separoid?

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 Separoid.

Tags

  • Binary relations

Keep exploring