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Linear space (geometry)

Linear space (geometry) 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 Linear space (geometry) rather than just read about it. In short: A linear space is a basic structure in incidence geometry. A linear space consists of a set of elements called points, and a set of elements called lines.

Linear space (geometry) — main illustration
Linear space (geometry) — illustration

Key takeaways

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

Reference excerpt

A linear space is a basic structure in incidence geometry. A linear space consists of a set of elements called points, and a set of elements called lines. Each line is a distinct subset of the points. The points in a line are said to be incident with the line. Each two points are in a line, and any two lines may have no more than one point in common. Intuitively, this rule can be visualized as the property that two straight lines never intersect more than once. Linear spaces can be seen as a generalization of projective and affine planes, and more broadly, of 2- ( v , k , 1 ) {\displaystyle (v,k,1)} block designs, where the requirement that every block contains the same number of points is dropped and the essential structural characteristic is that 2 points are incident with exactly 1 line. The term linear space was coined by Paul Libois in 1964, though many results about linear spaces are much older.

Definition Let L = (P, G, I) be an incidence structure, for which the elements of P are called points and the elements of G are called lines. L is a linear space if the following three axioms hold:

(L1) two distinct points are incident with exactly one line. (L2) every line is incident to at least two distinct points. (L3) L contains at least two distinct lines. Some authors drop (L3) when defining linear spaces. In such a situation the linear spaces complying to (L3) are considered as nontrivial and those that do not are trivial.

Examples The regular Euclidean plane with its points and lines constitutes a linear space, moreover all affine and projective spaces are linear spaces as well. The table below shows all possible nontrivial linear spaces of five points. Because any two points are always incident with one line, the lines being incident with only two points are not drawn, by convention. The trivial case is simply a line through five points. In the first illustration, the ten lines connecting the ten pairs of points are not drawn. In the second illustration, seven lines connecting seven pairs of points are not drawn.

A linear space of n points containing a line being incident with n − 1 points is called a near pencil. (See pencil)

Properties The De Bruijn–Erdős theorem shows that in any finite linear space S = ( P , L , I ) {\displaystyle S=({\mathcal {P}},{\mathcal {L}},{\textbf {I}})} which is not a single point or a single line, we have | P | ≤ | L | {\displaystyle |{\mathcal {P}}|\leq |{\mathcal {L}}|} .

See also Block design Fano plane Projective space Affine space Molecular geometry Partial linear space

References Shult, Ernest E. (2011), Points and Lines, Universitext, Springer, doi:10.1007/978-3-642-15627-4, ISBN 978-3-642-15626-7. Albrecht Beutelspacher: Einführung in die endliche Geometrie II. Bibliographisches Institut, 1983, ISBN 3-411-01648-5, p. 159 (German) J. H. van Lint, R. M. Wilson: A Course in Combinatorics. Cambridge University Press, 1992, ISBN 0-521-42260-4. p. 188 L. M. Batten, Albrecht Beutelspacher: The Theory of Finite Linear Spaces. Cambridge University Press, Cambridge, 1992.

Illustrations

Linear space (geometry) illustration
Linear space (geometry) illustration
Linear space (geometry) illustration
Linear space (geometry) illustration

Worked examples

Example 1 — a first encounter with Linear space (geometry)

Start with the simplest possible case. Write down what Linear space (geometry) 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 Linear space (geometry) 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 Linear space (geometry) 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 Linear space (geometry)

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

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

Frequently asked questions

What is Linear space (geometry) in simple terms?

A linear space is a basic structure in incidence geometry. A linear space consists of a set of elements called points, and a set of elements called lines.

Why does Linear space (geometry) 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 Linear space (geometry)?

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 Linear space (geometry).

Tags

  • Incidence geometry

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