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Schubert calculus

Schubert calculus 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 Schubert calculus rather than just read about it. In short: In mathematics, Schubert calculus is a branch of algebraic geometry introduced in the nineteenth century by Hermann Schubert in order to solve various counting problems of projective geometry and, as such, is viewed as part of enumerative geometry. Giving it a more rigorous foundation was the aim of Hilbert's 15th problem.

Key takeaways

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

Reference excerpt

In mathematics, Schubert calculus is a branch of algebraic geometry introduced in the nineteenth century by Hermann Schubert in order to solve various counting problems of projective geometry and, as such, is viewed as part of enumerative geometry. Giving it a more rigorous foundation was the aim of Hilbert's 15th problem. It is related to several more modern concepts, such as characteristic classes, and both its algorithmic aspects and applications remain of current interest. The term Schubert calculus is sometimes used to mean the enumerative geometry of linear subspaces of a vector space, which is roughly equivalent to describing the cohomology ring of Grassmannians. Sometimes it is used to mean the more general enumerative geometry of algebraic varieties that are homogenous spaces of simple Lie groups. Even more generally, Schubert calculus is sometimes understood as encompassing the study of analogous questions in generalized cohomology theories. The objects introduced by Schubert are the Schubert cells, which are locally closed sets in a Grassmannian defined by conditions of incidence of a linear subspace in projective space with a given flag. For further details see Schubert variety. The intersection theory of these cells, which can be seen as the product structure in the cohomology ring of the Grassmannian, consisting of associated cohomology classes, allows in particular the determination of cases in which the intersections of cells results in a finite set of points. A key result is that the Schubert cells (or rather, the classes of their Zariski closures, the Schubert cycles or Schubert varieties) span the whole cohomology ring. The combinatorial aspects mainly arise in relation to computing intersections of Schubert cycles. Lifted from the Grassmannian, which is a homogeneous space, to the general linear group that acts on it, similar questions are involved in the Bruhat decomposition and classification of parabolic subgroups (as block triangular matrices).

Construction Schubert calculus can be constructed using the Chow ring of the Grassmannian, where the generating cycles are represented by geometrically defined data. Denote the Grassmannian of k {\displaystyle k} -planes in a fixed n {\displaystyle n} -dimensional vector space V {\displaystyle V} as G r ( k , V ) {\displaystyle \mathbf {Gr} (k,V)} , and its Chow ring as A ∗ ( G r ( k , V ) ) {\displaystyle A^{*}(\mathbf {Gr} (k,V))} . (Note that the Grassmannian is sometimes denoted G r ( k , n ) {\displaystyle \mathbf {Gr} (k,n)} if the vector space is not explicitly given or as G ( k − 1 , n − 1 ) {\displaystyle \mathbb {G} (k-1,n-1)} if the ambient space V {\displaystyle V} and its k {\displaystyle k} -dimensional subspaces are replaced by their projectivizations.) Choosing an (arbitrary) complete flag

V = ( V 1 ⊂ ⋯ ⊂ V n − 1 ⊂ V n = V ) , dim ⁡ V i = i , i = 1 , … , n , {\displaystyle {\mathcal {V}}=(V_{1}\subset \cdots \subset V_{n-1}\subset V_{n}=V),\quad \dim {V}_{i}=i,\quad i=1,\dots ,n,}

to each weakly decreasing k {\displaystyle k} -tuple of integers a = ( a 1 , … , a k ) {\displaystyle \mathbf {a} =(a_{1},\ldots ,a_{k})} , where

n − k ≥ a 1 ≥ a 2 ≥ ⋯ ≥ a k ≥ 0 , {\displaystyle n-k\geq a_{1}\geq a_{2}\geq \cdots \geq a_{k}\geq 0,}

i.e., to each partition of weight

| a | = ∑ i = 1 k a i , {\displaystyle {\mathopen {|}}\mathbf {a} {\mathclose {|}}=\sum _{i=1}^{k}a_{i},}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Schubert calculus

Start with the simplest possible case. Write down what Schubert calculus 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 Schubert calculus 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 Schubert calculus 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 Schubert calculus

In research
Schubert calculus 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 Schubert calculus 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
Schubert calculus is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebraic geometry, Topology of homogeneous spaces, so understanding it makes those chapters shorter.
In everyday life
Look for Schubert calculus 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 Schubert calculus in 20 minutes

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

Frequently asked questions

What is Schubert calculus in simple terms?

In mathematics, Schubert calculus is a branch of algebraic geometry introduced in the nineteenth century by Hermann Schubert in order to solve various counting problems of projective geometry and, as such, is viewed as part of enumerative geometry. Giving it a more rigorous foundation was the aim o…

Why does Schubert calculus 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 Schubert calculus?

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 Schubert calculus.

Tags

  • Algebraic geometry
  • Topology of homogeneous spaces

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