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Height function

Height function 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 Height function rather than just read about it. In short: A height function is a function that quantifies the complexity of mathematical objects. In Diophantine geometry, height functions quantify the size of solutions to Diophantine equations and are typically functions from a set of points on algebraic varieties (or a set of algebraic varieties) to the real numbers.

Key takeaways

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

Reference excerpt

A height function is a function that quantifies the complexity of mathematical objects. In Diophantine geometry, height functions quantify the size of solutions to Diophantine equations and are typically functions from a set of points on algebraic varieties (or a set of algebraic varieties) to the real numbers. For instance, the classical or naive height over the rational numbers is typically defined to be the maximum of the numerators and denominators of the coordinates (e.g. 7 for the coordinates (3/7, 1/2)), but in a logarithmic scale.

Significance Height functions allow mathematicians to count objects, such as rational points, that are otherwise infinite in quantity. For instance, the set of rational numbers of naive height (the maximum of the numerator and denominator when expressed in lowest terms) below any given constant is finite despite the set of rational numbers being infinite. In this sense, height functions can be used to prove asymptotic results such as Baker's theorem in transcendental number theory which was proved by Alan Baker (1966, 1967a, 1967b). In other cases, height functions can distinguish some objects based on their complexity. For instance, the subspace theorem proved by Wolfgang M. Schmidt (1972) demonstrates that points of small height (i.e. small complexity) in projective space lie in a finite number of hyperplanes and generalizes Siegel's theorem on integral points and solution of the S-unit equation. Height functions were crucial to the proofs of the Mordell–Weil theorem and Faltings' theorem by Weil (1929) and Faltings (1983) respectively. Several outstanding unsolved problems about the heights of rational points on algebraic varieties, such as the Manin conjecture and Vojta's conjecture, have far-reaching implications for problems in Diophantine approximation, Diophantine equations, arithmetic geometry, and mathematical logic.

History An early form of height function was proposed by Giambattista Benedetti (c. 1563), who argued that the consonance of a musical interval could be measured by the product of its numerator and denominator (in reduced form); see Giambattista Benedetti § Music. Heights in Diophantine geometry were initially developed by André Weil and Douglas Northcott beginning in the 1920s. Innovations in 1960s were the Néron–Tate height and the realization that heights were linked to projective representations in much the same way that ample line bundles are in other parts of algebraic geometry. In the 1970s, Suren Arakelov developed Arakelov heights in Arakelov theory. In 1983, Faltings developed his theory of Faltings heights in his proof of Faltings' theorem.

Height functions in Diophantine geometry

Naive height Classical or naive height is defined in terms of ordinary absolute value on homogeneous coordinates. It is typically a logarithmic scale and therefore can be viewed as being proportional to the "algebraic complexity" or number of bits needed to store a point. It is typically defined to be the logarithm of the maximum absolute value of the vector of coprime integers obtained by multiplying through by a lowest common denominator. This may be used to define height on a point in projective space over Q, or of a polynomial, regarded as a vector of coefficients, or of an algebraic number, from the height of its minimal polynomial. The naive height of a rational number x = p/q (in lowest terms) is

multiplicative height H ( p / q ) = max { | p | , | q | } {\displaystyle H(p/q)=\max\{|p|,|q|\}}

logarithmic height: h ( p / q ) = log ⁡ H ( p / q ) {\displaystyle h(p/q)=\log H(p/q)}

Therefore, the naive multiplicative and logarithmic heights of 4/10 are 5 and log(5), for example. The naive height H of an elliptic curve E given by y2 = x3 + Ax + B is defined to be H(E) = log max(4|A|3, 27|B|2).

Néron–Tate height

The Néron–Tate height, or canonical height, is a quadratic form on the Mordell–Weil group of rational points of an abelian variety defined over a global field. It is named after André Néron, who first defined it as a sum of local heights, and John Tate, who defined it globally in an unpublished work.

Weil height Let X be a projective variety over a number field K. Let L be a line bundle on X. One defines the Weil height on X with respect to L as follows. First, suppose that L is very ample. A choice of basis of the space Γ ( X , L ) {\displaystyle \Gamma (X,L)} of global sections defines a morphism ϕ from X to projective space, and for all points p on X, one defines

h L ( p ) := h ( ϕ ( p ) ) {\displaystyle h_{L}(p):=h(\phi (p))} , where h is the naive height on projective space. For fixed X and L, choosing a different basis of global sections changes h L {\displaystyle h_{L}} , but only by a bounded function of p. Thus h L {\displaystyle h_{L}} is well-defined up to addition of a function that is O(1). In general, one can write L as the difference of two very ample line bundles L1 and L2 on X and define h L := h L 1 − h L 2 , {\displaystyle h_{L}:=h_{L_{1}}-h_{L_{2}},}

which again is well-defined up to O(1).

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Height function

Start with the simplest possible case. Write down what Height function 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 Height function 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 Height function 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 Height function

In research
Height function 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 Height function 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
Height function is common in secondary-school and first-year university syllabi. It links to neighbouring topics Abelian varieties, Abstract algebra, Algebraic number theory, so understanding it makes those chapters shorter.
In everyday life
Look for Height function 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 Height function in 20 minutes

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

Frequently asked questions

What is Height function in simple terms?

A height function is a function that quantifies the complexity of mathematical objects. In Diophantine geometry, height functions quantify the size of solutions to Diophantine equations and are typically functions from a set of points on algebraic varieties (or a set of algebraic varieties) to the…

Why does Height function 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 Height function?

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 Height function.

Tags

  • Abelian varieties
  • Abstract algebra
  • Algebraic number theory
  • Diophantine geometry
  • Elliptic curves
  • Polynomials

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