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Newton polytope

Newton polytope 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 Newton polytope rather than just read about it. In short: In mathematics, the Newton polytope is an integral polytope associated with a multivariate polynomial that can be used in the asymptotic analysis of those polynomials. It is a generalization of the Kruskal–Newton diagram developed for the analysis of bivariant polynomials.

Newton polytope — main illustration
Newton polytope — illustration

Key takeaways

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

Reference excerpt

In mathematics, the Newton polytope is an integral polytope associated with a multivariate polynomial that can be used in the asymptotic analysis of those polynomials. It is a generalization of the Kruskal–Newton diagram developed for the analysis of bivariant polynomials. Given a vector x = ( x 1 , … , x n ) {\displaystyle \mathbf {x} =(x_{1},\ldots ,x_{n})} of variables and a finite family ( a k ) k {\displaystyle (\mathbf {a} _{k})_{k}} of pairwise distinct vectors from N n {\displaystyle \mathbb {N} ^{n}} each encoding the exponents within a monomial, consider the multivariate polynomial

f ( x ) = ∑ k c k x a k {\displaystyle f(\mathbf {x} )=\sum _{k}c_{k}\mathbf {x} ^{\mathbf {a} _{k}}}

where we use the shorthand notation ( x 1 , … , x n ) ( y 1 , … , y n ) {\displaystyle (x_{1},\ldots ,x_{n})^{(y_{1},\ldots ,y_{n})}} for the monomial x 1 y 1 x 2 y 2 ⋯ x n y n {\displaystyle x_{1}^{y_{1}}x_{2}^{y_{2}}\cdots x_{n}^{y_{n}}} . Then the Newton polytope associated to f {\displaystyle f} is the convex hull of the vectors a k {\displaystyle \mathbf {a} _{k}} ; that is

Newt ⁡ ( f ) = { ∑ k α k a k : ∑ k α k = 1 & ∀ j α j ≥ 0 } . {\displaystyle \operatorname {Newt} (f)=\left\{\sum _{k}\alpha _{k}\mathbf {a} _{k}:\sum _{k}\alpha _{k}=1\;\&\;\forall j\,\,\alpha _{j}\geq 0\right\}\!.}

In order to make this well-defined, we assume that all coefficients c k {\displaystyle c_{k}} are non-zero. The Newton polytope satisfies the following homomorphism-type property:

Newt ⁡ ( f g ) = Newt ⁡ ( f ) + Newt ⁡ ( g ) {\displaystyle \operatorname {Newt} (fg)=\operatorname {Newt} (f)+\operatorname {Newt} (g)}

where the addition is in the sense of Minkowski. Newton polytopes are the central object of study in tropical geometry and characterize the Gröbner bases for an ideal.

See also Toric varieties Hilbert scheme

Sources Sturmfels, Bernd (1996). "2. The State Polytope". Gröbner Bases and Convex Polytopes. University Lecture Series. Vol. 8. Providence, RI: AMS. ISBN 0-8218-0487-1. Monical, Cara; Tokcan, Neriman; Yong, Alexander (2019). "Newton polytopes in algebraic combinatorics". Selecta Mathematica. New Series. 25 (5): 66. arXiv:1703.02583. doi:10.1007/s00029-019-0513-8. S2CID 53639491. Shiffman, Bernard; Zelditch, Steve (18 September 2003). "Random polynomials with prescribed Newton polytopes". Journal of the American Mathematical Society. 17 (1): 49–108. doi:10.1090/S0894-0347-03-00437-5. S2CID 14886953.

References

External links Linking Groebner Bases and Toric Varieties Rossi, Michele; Terracini, Lea (2020). "Toric varieties and Gröbner bases: the complete Q-factorial case". Applicable Algebra in Engineering, Communication and Computing. 31 (5–6): 461–482. arXiv:2004.05092. doi:10.1007/s00200-020-00452-w.

Illustrations

Newton polytope: The Newton polytope of the short Weierstrass equation 
  
    
      
        
          y
          
            2
          
        
        =
        
          x
          
            3
          
        
        +
        a
        x
        +
        b
      
    
    {\displaystyle y^{2}=x^{3}+ax+b}
  
. The green points correspond to the powers of the polynomials in the equations. Since there is one integer interior lattice point, then the genus of the equation also equals to one.[1]
The Newton polytope of the short Weierstrass equation y 2 = x 3 + a x + b {\displaystyle y^{2}=x^{3}+ax+b} . The green points correspond to the powers of the polynomials in the equations. Since there is one integer interior lattice point, then the genus of the equation also equals to one.[1]

Worked examples

Example 1 — a first encounter with Newton polytope

Start with the simplest possible case. Write down what Newton polytope 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 Newton polytope 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 Newton polytope 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 Newton polytope

In research
Newton polytope 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 Newton polytope 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
Newton polytope is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebraic geometry, Algebraic geometry stubs, Minkowski space, so understanding it makes those chapters shorter.
In everyday life
Look for Newton polytope 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 Newton polytope in 20 minutes

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

Frequently asked questions

What is Newton polytope in simple terms?

In mathematics, the Newton polytope is an integral polytope associated with a multivariate polynomial that can be used in the asymptotic analysis of those polynomials. It is a generalization of the Kruskal–Newton diagram developed for the analysis of bivariant polynomials.

Why does Newton polytope 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 Newton polytope?

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 Newton polytope.

Tags

  • Algebraic geometry
  • Algebraic geometry stubs
  • Minkowski space
  • Polynomial functions
  • Polytopes

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