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Projectivization

Projectivization 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 Projectivization rather than just read about it. In short: In mathematics, projectivization is a procedure which associates with a non-zero vector space V a projective space P(V), whose elements are one-dimensional subspaces of V. More generally, any subset S of V closed under scalar multiplication defines a subset of P(V) formed by the lines contained in S and is called the projectivization of S.

Key takeaways

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

Reference excerpt

In mathematics, projectivization is a procedure which associates with a non-zero vector space V a projective space P(V), whose elements are one-dimensional subspaces of V. More generally, any subset S of V closed under scalar multiplication defines a subset of P(V) formed by the lines contained in S and is called the projectivization of S.

Properties Projectivization is a special case of the factorization by a group action: the projective space P(V) is the quotient of the open set V \ {0} of nonzero vectors by the action of the multiplicative group of the base field by scalar transformations. The dimension of P(V) in the sense of algebraic geometry is one less than the dimension of the vector space V. Projectivization is functorial with respect to injective linear maps: if

f : V → W {\displaystyle f:V\to W}

is a linear map with trivial kernel then f defines an algebraic map of the corresponding projective spaces,

P ( f ) : P ( V ) → P ( W ) . {\displaystyle \mathbf {P} (f):\mathbf {P} (V)\to \mathbf {P} (W).}

In particular, the general linear group GL(V) acts on the projective space P(V) by automorphisms.

Projective completion A related procedure embeds a vector space V over a field K into the projective space P(V ⊕ K) of the same dimension. To every vector v of V, it associates the line spanned by the vector (v, 1) of V ⊕ K.

Generalization

In algebraic geometry, there is a procedure that associates a projective variety Proj S with a graded commutative algebra S (under some technical restrictions on S). If S is the algebra of polynomials on a vector space V then Proj S is P(V). This Proj construction gives rise to a contravariant functor from the category of graded commutative rings and surjective graded maps to the category of projective schemes.

References

Worked examples

Example 1 — a first encounter with Projectivization

Start with the simplest possible case. Write down what Projectivization 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 Projectivization 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 Projectivization 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 Projectivization

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

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

Frequently asked questions

What is Projectivization in simple terms?

In mathematics, projectivization is a procedure which associates with a non-zero vector space V a projective space P(V), whose elements are one-dimensional subspaces of V. More generally, any subset S of V closed under scalar multiplication defines a subset of P(V) formed by the lines contained in…

Why does Projectivization 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 Projectivization?

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 Projectivization.

Tags

  • Linear algebra
  • Projective geometry

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