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Order dimension

Order dimension 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 Order dimension rather than just read about it. In short: In mathematics, the dimension of a partially ordered set (poset) is the smallest number of total orders the intersection of which gives rise to the partial order. This concept is also sometimes called the order dimension or the Dushnik–Miller dimension of the partial order.

Order dimension — main illustration
Order dimension — illustration

Key takeaways

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

Reference excerpt

In mathematics, the dimension of a partially ordered set (poset) is the smallest number of total orders the intersection of which gives rise to the partial order. This concept is also sometimes called the order dimension or the Dushnik–Miller dimension of the partial order. Dushnik & Miller (1941) first studied order dimension; for a more detailed treatment of this subject than provided here, see Trotter (1992).

Formal definition The order dimension of a poset P {\displaystyle P} is the least integer t {\displaystyle t} for which there exists a family

R = ( < 1 , … , < t ) {\displaystyle {\mathcal {R}}=(<_{1},\dots ,<_{t})}

of linear extensions of P {\displaystyle P} so that, for every x {\displaystyle x} and y {\displaystyle y} in P {\displaystyle P} , x {\displaystyle x} precedes y {\displaystyle y} in P {\displaystyle P} if and only if it precedes y {\displaystyle y} in all of the linear extensions, if any such t {\displaystyle t} exists. In other words, that the intersection of those linear extensions equals P {\displaystyle P} . That is,

P = ⋂ R = ⋂ i = 1 t < i . {\displaystyle P=\bigcap {\mathcal {R}}=\bigcap _{i=1}^{t}<_{i}.}

An alternative definition of order dimension is the minimal number of total orders such that P embeds into their product with componentwise ordering i.e. x ≤ y {\displaystyle x\leq y} if and only if x i ≤ y i {\displaystyle x_{i}\leq y_{i}} for all i (Hiraguti 1955, Milner & Pouzet 1990).

Realizers A family R = ( < 1 , … , < t ) {\displaystyle {\mathcal {R}}=(<_{1},\dots ,<_{t})} of total orders on X {\displaystyle X} is called a realizer of a poset P = ( X , < P ) {\displaystyle P=(X,<_{P})} if

< P = ⋂ R {\displaystyle <_{P}=\bigcap {\mathcal {R}}} , which is to say that for any x {\displaystyle x} and y {\displaystyle y} in X {\displaystyle X} , x < P y {\displaystyle x<_{P}y} precisely when x < 1 y , x < 2 y {\displaystyle x<_{1}y,x<_{2}y} ,..., x < t y {\displaystyle x<_{t}y} . Thus, an equivalent definition of the dimension of a poset P {\displaystyle P} is "the least cardinality of a realizer of P {\displaystyle P} ". It can be shown that any nonempty family R {\displaystyle {\mathcal {R}}} of linear extensions is a realizer of a finite partially ordered set P {\displaystyle P} if and only if, for every critical pair ( x , y ) {\displaystyle (x,y)} of , P {\displaystyle P} x < i y {\displaystyle x<_{i}y} for some order < i {\displaystyle <_{i}} in R {\displaystyle {\mathcal {R}}} .

… excerpt ends here. Continue reading the full article.

Illustrations

Order dimension: A partial order of dimension 4 (shown as a Hasse diagram) and four total orderings that form a realizer for this partial order.
A partial order of dimension 4 (shown as a Hasse diagram) and four total orderings that form a realizer for this partial order.

Worked examples

Example 1 — a first encounter with Order dimension

Start with the simplest possible case. Write down what Order dimension 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 Order dimension 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 Order dimension 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 Order dimension

In research
Order dimension 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 Order dimension 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
Order dimension is common in secondary-school and first-year university syllabi. It links to neighbouring topics Dimension theory, NP-complete problems, Order theory, so understanding it makes those chapters shorter.
In everyday life
Look for Order dimension 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 Order dimension in 20 minutes

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

Frequently asked questions

What is Order dimension in simple terms?

In mathematics, the dimension of a partially ordered set (poset) is the smallest number of total orders the intersection of which gives rise to the partial order. This concept is also sometimes called the order dimension or the Dushnik–Miller dimension of the partial order.

Why does Order dimension 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 Order dimension?

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 Order dimension.

Tags

  • Dimension theory
  • NP-complete problems
  • Order theory

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