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Quotient space (linear algebra)

Quotient space (linear algebra) 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 Quotient space (linear algebra) rather than just read about it. In short: In linear algebra, the quotient of a vector space V {\displaystyle V} by a subspace U {\displaystyle U} is a vector space obtained by "collapsing" U {\displaystyle U} to zero. The space obtained is called a quotient space and is denoted V / U {\displaystyle V/U} (read " V {\displaystyle V} mod U {\displaystyle U} " or " V {\displaystyle V} by U {\displaystyle U} ").

Key takeaways

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

Reference excerpt

In linear algebra, the quotient of a vector space V {\displaystyle V} by a subspace U {\displaystyle U} is a vector space obtained by "collapsing" U {\displaystyle U} to zero. The space obtained is called a quotient space and is denoted V / U {\displaystyle V/U} (read " V {\displaystyle V} mod U {\displaystyle U} " or " V {\displaystyle V} by U {\displaystyle U} "). Alternatively phrased, the quotient space V / U {\displaystyle V/U} is the set of all affine subsets of V {\displaystyle V} which are parallel to U {\displaystyle U} .

Definition Formally, the construction is as follows. Let V {\displaystyle V} be a vector space over a field K {\displaystyle \mathbb {K} } , and let U {\displaystyle U} be a subspace of V {\displaystyle V} . We define an equivalence relation ∼ {\displaystyle \sim } on V {\displaystyle V} by stating that x ∼ y {\displaystyle x\sim y} iff x − y ∈ U {\displaystyle x-y\in U} . That is, x {\displaystyle x} is related to y {\displaystyle y} if and only if one can be obtained from the other by adding an element of U {\displaystyle U} . This definition implies that any element of U {\displaystyle U} is related to the zero vector; more precisely, all the vectors in U {\displaystyle U} get mapped into the equivalence class of the zero vector. The equivalence class – or, in this case, the coset – of v {\displaystyle v} is defined as

[ v ] := { w : v − w ∈ U } {\displaystyle [v]:=\{w:v-w\in U\}} . Equivalently, [ v ] = { v + u : u ∈ U } {\displaystyle [v]=\{v+u:u\in U\}} , so it is often denoted using the shorthand v + U {\displaystyle v+U} . The quotient space V / U {\displaystyle V/U} is then defined as V / ∼ {\displaystyle V/{\mathord {\sim }}} , the set of all equivalence classes induced by ∼ {\displaystyle \sim } on U {\displaystyle U} . Scalar multiplication and addition are defined on the equivalence classes by

α [ x ] = [ α x ] {\displaystyle \alpha [x]=[\alpha x]} for all α ∈ K {\displaystyle \alpha \in \mathbb {K} } , and

[ x ] + [ y ] = [ x + y ] {\displaystyle [x]+[y]=[x+y]} . It is not hard to check that these operations are well-defined (i.e. do not depend on the choice of representatives). These operations turn the quotient space V / U {\displaystyle V/U} into a vector space over K {\displaystyle \mathbb {K} } with U {\displaystyle U} being the zero class, [ 0 ] {\displaystyle [0]} . The mapping that associates to v ∈ V {\displaystyle v\in V} the equivalence class [ v ] {\displaystyle [v]} is known as the quotient map.

Examples

Lines in Cartesian Plane Let X = R2 be the standard Cartesian plane, and let Y be a line through the origin in X. Then the quotient space X/Y can be identified with the space of all lines in X which are parallel to Y. That is to say that, the elements of the set X/Y are lines in X parallel to Y. Note that the points along any one such line will satisfy the equivalence relation because their difference vectors belong to Y. This gives a way to visualize quotient spaces geometrically. (By re-parameterising these lines, the quotient space can more conventionally be represented as the space of all points along a line through the origin that is not parallel to Y. Similarly, the quotient space for R3 by a line through the origin can again be represented as the set of all co-parallel lines, or alternatively be represented as the vector space consisting of a plane which only intersects the line at the origin.)

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Quotient space (linear algebra)

Start with the simplest possible case. Write down what Quotient space (linear algebra) 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 Quotient space (linear algebra) 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 Quotient space (linear algebra) 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 Quotient space (linear algebra)

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

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

Frequently asked questions

What is Quotient space (linear algebra) in simple terms?

In linear algebra, the quotient of a vector space V {\displaystyle V} by a subspace U {\displaystyle U} is a vector space obtained by "collapsing" U {\displaystyle U} to zero. The space obtained is called a quotient space and is denoted V / U {\displaystyle V/U} (read " V {\displaystyle V} mod U {\…

Why does Quotient space (linear algebra) 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 Quotient space (linear algebra)?

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 Quotient space (linear algebra).

Tags

  • Functional analysis
  • Linear algebra
  • Quotient objects

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