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Infinitely near point

Infinitely near point 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 Infinitely near point rather than just read about it. In short: In algebraic geometry, an infinitely near point of an algebraic surface S is a point on a surface obtained from S by repeatedly blowing up points. Infinitely near points of algebraic surfaces were introduced by Max Noether (1876).

Key takeaways

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

Reference excerpt

In algebraic geometry, an infinitely near point of an algebraic surface S is a point on a surface obtained from S by repeatedly blowing up points. Infinitely near points of algebraic surfaces were introduced by Max Noether (1876). There are some other meanings of "infinitely near point". Infinitely near points can also be defined for higher-dimensional varieties: there are several inequivalent ways to do this, depending on what one is allowed to blow up. Weil gave a definition of infinitely near points of smooth varieties, though these are not the same as infinitely near points in algebraic geometry. In the line of hyperreal numbers, an extension of the real number line, two points are called infinitely near if their difference is infinitesimal.

Definition When blowing up is applied to a point P on a surface S, the new surface S* contains a whole curve C where P used to be. The points of C have the geometric interpretation as the tangent directions at P to S. They can be called infinitely near to P as way of visualizing them on S, rather than S*. More generally this construction can be iterated by blowing up a point on the new curve C, and so on. An infinitely near point (of order n) Pn on a surface S0 is given by a sequence of points P0, P1,...,Pn on surfaces S0, S1,...,Sn such that Si is given by blowing up Si–1 at the point Pi–1 and Pi is a point of the surface Si with image Pi–1. In particular the points of the surface S are the infinitely near points on S of order 0. Infinitely near points correspond to 1-dimensional valuations of the function field of S with 0-dimensional center, and in particular correspond to some of the points of the Zariski–Riemann surface. (The 1-dimensional valuations with 1-dimensional center correspond to irreducible curves of S.) It is also possible to iterate the construction infinitely often, producing an infinite sequence P0, P1,... of infinitely near points. These infinite sequences correspond to the 0-dimensional valuations of the function field of the surface, which correspond to the "0-dimensional" points of the Zariski–Riemann surface.

Applications If C and D are distinct irreducible curves on a smooth surface S intersecting at a point p, then the multiplicity of their intersection at p is given by

∑ x infinitely near p m x ( C ) m x ( D ) {\displaystyle \sum _{x{\text{ infinitely near }}p}m_{x}(C)m_{x}(D)}

where mx(C) is the multiplicity of C at x. In general this is larger than mp(C)mp(D) if C and D have a common tangent line at x so that they also intersect at infinitely near points of order greater than 0, for example if C is the line y = 0 and D is the parabola y = x2 and p = (0,0). The genus of C is given by

g ( C ) = g ( N ) + ∑ infinitely near points x m x ( m x − 1 ) / 2 {\displaystyle g(C)=g(N)+\sum _{{\text{infinitely near points }}x}m_{x}(m_{x}-1)/2}

where N is the normalization of C and mx is the multiplicity of the infinitely near point x on C.

References

Noether, M. (1876), "Ueber die singularen Werthsysteme einer algebraischen Function und die singularen Punkte einer algebraischen Curve", Mathematische Annalen, 9 (2): 166–182, doi:10.1007/BF01443372, S2CID 120376948

Worked examples

Example 1 — a first encounter with Infinitely near point

Start with the simplest possible case. Write down what Infinitely near point 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 Infinitely near point 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 Infinitely near point 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 Infinitely near point

In research
Infinitely near point 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 Infinitely near point 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
Infinitely near point is common in secondary-school and first-year university syllabi. It links to neighbouring topics Birational geometry, Differential calculus, Geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Infinitely near point 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 Infinitely near point in 20 minutes

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

Frequently asked questions

What is Infinitely near point in simple terms?

In algebraic geometry, an infinitely near point of an algebraic surface S is a point on a surface obtained from S by repeatedly blowing up points. Infinitely near points of algebraic surfaces were introduced by Max Noether (1876).

Why does Infinitely near point 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 Infinitely near point?

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 Infinitely near point.

Tags

  • Birational geometry
  • Differential calculus
  • Geometry
  • Nonstandard analysis

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