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Segre embedding

Segre embedding 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 Segre embedding rather than just read about it. In short: In mathematics, the Segre embedding is a map used in projective geometry to consider the cartesian product of two projective spaces as a projective variety. It is named after Corrado Segre.

Key takeaways

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

Reference excerpt

In mathematics, the Segre embedding is a map used in projective geometry to consider the cartesian product of two projective spaces as a projective variety. It is named after Corrado Segre.

Definition We write P n {\displaystyle \mathbb {P} ^{n}} for n {\displaystyle n} -dimensional projective space (over some field). The Segre embedding is defined as the map σ : P n × P m → P ( n + 1 ) ( m + 1 ) − 1 {\displaystyle \sigma :\mathbb {P} ^{n}\times \mathbb {P} ^{m}\to \mathbb {P} ^{(n+1)(m+1)-1}\ } given in homogeneous coordinates by

σ ( [ X 0 : X 1 : ⋯ : X n ] , [ Y 0 : Y 1 : ⋯ : Y m ] ) = [ X 0 Y 0 : X 0 Y 1 : ⋯ : X i Y j : ⋯ : X n Y m ] {\displaystyle \sigma ([X_{0}:X_{1}:\cdots :X_{n}],[Y_{0}:Y_{1}:\cdots :Y_{m}])=[X_{0}Y_{0}:X_{0}Y_{1}:\cdots :X_{i}Y_{j}:\cdots :X_{n}Y_{m}]\ }

(the monomials X i Y j {\displaystyle X_{i}Y_{j}} are taken in lexicographical order). The image of the map is a variety, called a Segre variety. It is sometimes written as Σ n , m {\displaystyle \Sigma _{n,m}} .

Discussion In the language of linear algebra, for given vector spaces U and V over the same field K, there is a natural way to linearly map their Cartesian product to their tensor product.

φ : U × V → U ⊗ V . {\displaystyle \varphi :U\times V\to U\otimes V.\ }

In general, this need not be injective because, for u ∈ U {\displaystyle u\in U} , v ∈ V {\displaystyle v\in V} and any nonzero c ∈ K {\displaystyle c\in K} ,

φ ( u , v ) = u ⊗ v = c u ⊗ c − 1 v = φ ( c u , c − 1 v ) . {\displaystyle \varphi (u,v)=u\otimes v=cu\otimes c^{-1}v=\varphi (cu,c^{-1}v).\ }

Considering the underlying projective spaces P ( U ) {\displaystyle \mathbb {P} (U)} and P ( V ) {\displaystyle \mathbb {P} (V)} , this mapping becomes a morphism of varieties

σ : P ( U ) × P ( V ) → P ( U ⊗ V ) . {\displaystyle \sigma :\mathbb {P} (U)\times \mathbb {P} (V)\to \mathbb {P} (U\otimes V).\ }

This is not only injective in the set-theoretic sense: it is a closed immersion in the sense of algebraic geometry. That is, one can give a set of equations for the image. Except for notational trouble, it is easy to say what such equations are: they express two ways of factoring products of coordinates from the tensor product, obtained in two different ways as something from U times something from V. This mapping or morphism σ is the Segre embedding. Counting dimensions, it shows how the product of projective spaces of dimensions m and n embeds in dimension

( m + 1 ) ( n + 1 ) − 1 = m n + m + n . {\displaystyle (m+1)(n+1)-1=mn+m+n.\ }

Classical terminology calls the coordinates on the product multihomogeneous, and the product generalised to k factors k-way projective space.

Properties The Segre variety is an example of a determinantal variety; it is the zero locus of the 2×2 minors of the matrix ( Z i , j ) {\displaystyle (Z_{i,j})} . That is, the Segre variety is the common zero locus of the quadratic polynomials

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Segre embedding

Start with the simplest possible case. Write down what Segre embedding 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 Segre embedding 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 Segre embedding 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 Segre embedding

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

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

Frequently asked questions

What is Segre embedding in simple terms?

In mathematics, the Segre embedding is a map used in projective geometry to consider the cartesian product of two projective spaces as a projective variety. It is named after Corrado Segre.

Why does Segre embedding 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 Segre embedding?

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 Segre embedding.

Tags

  • Algebraic varieties
  • Projective geometry

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