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Near-field (mathematics)

Near-field (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 Near-field (mathematics) rather than just read about it. In short: In mathematics, a near-field is an algebraic structure similar to a division ring, except that it has only one of the two distributive laws. Alternatively, a near-field is a near-ring in which there is a multiplicative identity and every non-zero element has a multiplicative inverse.

Key takeaways

  • Near-field (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 Near-field (mathematics) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Near-field (mathematics) from memory before moving on to harder problems.

Reference excerpt

In mathematics, a near-field is an algebraic structure similar to a division ring, except that it has only one of the two distributive laws. Alternatively, a near-field is a near-ring in which there is a multiplicative identity and every non-zero element has a multiplicative inverse.

Definition A near-field is a set Q {\displaystyle Q} together with two binary operations, + {\displaystyle +} (addition) and ⋅ {\displaystyle \cdot } (multiplication), satisfying the following axioms for all a , b , c {\displaystyle a,b,c} in Q {\displaystyle Q} .

A1: ( Q , + ) {\displaystyle (Q,+)} is an abelian group. A2: ( a ⋅ b ) ⋅ c = a ⋅ ( b ⋅ c ) {\displaystyle (a\cdot b)\cdot c=a\cdot (b\cdot c)} (The associative law for multiplication). A3: ( a + b ) ⋅ c = a ⋅ c + b ⋅ c {\displaystyle (a+b)\cdot c=a\cdot c+b\cdot c} (The right distributive law). A4: Q {\displaystyle Q} contains a non-zero element 1 such that 1 ⋅ a = a ⋅ 1 = a {\displaystyle 1\cdot a=a\cdot 1=a} (Multiplicative identity). A5: For every non-zero element d {\displaystyle d} in Q {\displaystyle Q} there exists an element d − 1 {\displaystyle d^{-1}} such that d ⋅ d − 1 = 1 = d − 1 ⋅ d {\displaystyle d\cdot d^{-1}=1=d^{-1}\cdot d} (Multiplicative inverse).

Notes on the definition The above is, strictly speaking, a definition of a right near-field. By replacing A3 by the left distributive law c ⋅ ( a + b ) = c ⋅ a + c ⋅ b {\displaystyle c\cdot (a+b)=c\cdot a+c\cdot b} we get a left near-field instead. Most commonly, "near-field" is taken as meaning "right near-field", but this is not a universal convention. A (right) near-field is called "planar" if it is also a right quasifield. Every finite near-field is planar, but infinite near-fields need not be. It is not necessary to specify that the additive group is abelian, as this follows from the other axioms, as proved by B.H. Neumann and J.L. Zemmer. However, the proof is quite difficult, and it is more convenient to include this in the axioms so that progress with establishing the properties of near-fields can start more rapidly. Sometimes a list of axioms is given in which A4 and A5 are replaced by the following single statement: A4*: The non-zero elements form a group under multiplication. However, this alternative definition includes one exceptional structure of order 2 which fails to satisfy various basic theorems (such as x ⋅ 0 = 0 {\displaystyle x\cdot 0=0} for all x {\displaystyle x} ). Thus it is much more convenient, and more usual, to use the axioms in the form given above. The difference is that A4 requires 1 to be an identity for all elements, A4* only for non-zero elements. The exceptional structure can be defined by taking an additive group of order 2, and defining multiplication by x ⋅ y = x {\displaystyle x\cdot y=x} for all x {\displaystyle x} and y {\displaystyle y} .

Examples Any division ring (including any field) is a near-field. The following defines a (right) near-field of order 9. It is the smallest near-field which is not a field. Let K {\displaystyle K} be the Galois field of order 9. Denote multiplication in K {\displaystyle K} by ' ∗ {\displaystyle *} '. Define a new binary operation ' · ' by: If b {\displaystyle b} is any element of K {\displaystyle K} which is a square and a {\displaystyle a} is any element of K {\displaystyle K} then a ⋅ b = a ∗ b {\displaystyle a\cdot b=a*b} . If b {\displaystyle b} is any element of K {\displaystyle K} which is not a square and a {\displaystyle a} is any element of K {\displaystyle K} then a ⋅ b = a 3 ∗ b {\displaystyle a\cdot b=a^{3}*b} . Then K {\displaystyle K} is a near-field with this new multiplication and the same addition as before.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Near-field (mathematics)

Start with the simplest possible case. Write down what Near-field (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 Near-field (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 Near-field (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 Near-field (mathematics)

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

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

Frequently asked questions

What is Near-field (mathematics) in simple terms?

In mathematics, a near-field is an algebraic structure similar to a division ring, except that it has only one of the two distributive laws. Alternatively, a near-field is a near-ring in which there is a multiplicative identity and every non-zero element has a multiplicative inverse.

Why does Near-field (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 Near-field (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 Near-field (mathematics).

Tags

  • Algebraic structures
  • Projective geometry

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