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Integer lattice

Integer lattice 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 Integer lattice rather than just read about it. In short: In mathematics, the n-dimensional integer lattice, denoted ⁠ Z n {\displaystyle \mathbb {Z} ^{n}} ⁠, is the lattice in the Euclidean space ⁠ R n {\displaystyle \mathbb {R} ^{n}} ⁠ whose lattice points are n-tuples of integers. The two-dimensional integer lattice is also called the square lattice (or grid lattice) and the three-dimensional integer lattice is called the cubic lattice. ⁠ Z n {\displaystyle \mathbb {Z}…

Integer lattice — main illustration
Integer lattice — illustration

Key takeaways

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

Reference excerpt

In mathematics, the n-dimensional integer lattice, denoted ⁠ Z n {\displaystyle \mathbb {Z} ^{n}} ⁠, is the lattice in the Euclidean space ⁠ R n {\displaystyle \mathbb {R} ^{n}} ⁠ whose lattice points are n-tuples of integers. The two-dimensional integer lattice is also called the square lattice (or grid lattice) and the three-dimensional integer lattice is called the cubic lattice. ⁠ Z n {\displaystyle \mathbb {Z} ^{n}} ⁠ is the simplest example of a root lattice. The integer lattice is an odd unimodular lattice.

Automorphism group The automorphism group (or group of congruences) of the integer lattice consists of all permutations and sign changes of the coordinates, and is of order 2n n!. As a matrix group it is given by the set of all n × n signed permutation matrices. This group is isomorphic to the semidirect product

( Z 2 ) n ⋊ S n {\displaystyle (\mathbb {Z} _{2})^{n}\rtimes S_{n}}

where the symmetric group Sn acts on (Z2)n by permutation (this is a classic example of a wreath product). For the square lattice, this is the group of the square, or the dihedral group of order 8; for the three-dimensional cubic lattice, we get the group of the cube, or octahedral group, of order 48.

Diophantine geometry In the study of Diophantine geometry, the square lattice of points with integer coordinates is often referred to as the Diophantine plane. In mathematical terms, the Diophantine plane is the Cartesian product Z × Z {\displaystyle \scriptstyle \mathbb {Z} \times \mathbb {Z} } of the ring of all integers Z {\displaystyle \scriptstyle \mathbb {Z} } . The study of Diophantine figures focuses on the selection of nodes in the Diophantine plane such that all pairwise distances are integers.

Coarse geometry In coarse geometry, the integer lattice is coarsely equivalent to Euclidean space.

Pick's theorem

Pick's theorem, first described by Georg Alexander Pick in 1899, provides a formula for the area of a simple polygon with all vertices lying on the 2-dimensional integer lattice, in terms of the number of integer points within it and on its boundary. Let i {\displaystyle i} be the number of integer points interior to the polygon, and let b {\displaystyle b} be the number of integer points on its boundary (including both vertices and points along the sides). Then the area A {\displaystyle A} of this polygon is:

A = i + b 2 − 1. {\displaystyle A=i+{\frac {b}{2}}-1.}

The example shown has i = 7 {\displaystyle i=7} interior points and b = 8 {\displaystyle b=8} boundary points, so its area is A = 7 + 8 2 − 1 = 10 {\displaystyle A=7+{\tfrac {8}{2}}-1=10} square units.

See also Regular grid

References

Further reading Olds, C. D.; Lax, Anneli; Davidoff, Giuliana (2000). The Geometry of Numbers. New Mathematical Library. Vol. 41. Mathematical Association of America. ISBN 0-88385-643-3.

Illustrations

Integer lattice: Approximations of regular pentagrams with vertices on a square lattice with coordinates indicated
Approximations of regular pentagrams with vertices on a square lattice with coordinates indicated
Integer lattice: Rational approximants of irrational values can be mapped to points lying close to lines having gradients corresponding to the values
Rational approximants of irrational values can be mapped to points lying close to lines having gradients corresponding to the values
Integer lattice: @media screen{html.skin-theme-clientpref-night .mw-parser-output div:not(.notheme)>.tmp-color,html.skin-theme-clientpref-night .mw-parser-output p>.tmp-color,html.skin-theme-clientpref-night .mw-parser-output table:not(.notheme) .tmp-color{color:inherit!important}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output div:not(.notheme)>.tmp-color,html.skin-theme-clientpref-os .mw-parser-output p>.tmp-color,html.skin-theme-clientpref-os .mw-parser-output table:not(.notheme) .tmp-color{color:inherit!important}}i = 7, b = 8, A = i + .mw-parser-output .sfrac{white-space:nowrap}.mw-parser-output .sfrac.tion,.mw-parser-output .sfrac .tion{display:inline-block;vertical-align:-0.5em;font-size:85%;text-align:center;margin-left:.1em;margin-right:.1em}.mw-parser-output .sfrac .num{display:block;border-bottom:1px solid}.mw-parser-output .sfrac .den{display:block;line-height:1.5em}.mw-parser-output .sr-only{border:0;clip:rect(0,0,0,0);clip-path:polygon(0px 0px,0px 0px,0px 0px);height:1px;margin:-1px;overflow:hidden;padding:0;position:absolute;width:1px}⁠b/2⁠ − 1 = 10
@media screen{html.skin-theme-clientpref-night .mw-parser-output div:not(.notheme)>.tmp-color,html.skin-theme-clientpref-night .mw-parser-output p>.tmp-color,html.skin-theme-clientpref-night .mw-parser-output table:not(.notheme) .tmp-color{color:inherit!important}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output div:not(.notheme)>.tmp-color,html.skin-theme-clientpref-os .mw-parser-output p>.tmp-color,html.skin-theme-clientpref-os .mw-parser-output table:not(.notheme) .tmp-color{color:inherit!important}}i = 7, b = 8, A = i + .mw-parser-output .sfrac{white-space:nowrap}.mw-parser-output .sfrac.tion,.mw-parser-output .sfrac .tion{display:inline-block;vertical-align:-0.5em;font-size:85%;text-align:center;margin-left:.1em;margin-right:.1em}.mw-parser-output .sfrac .num{display:block;border-bottom:1px solid}.mw-parser-output .sfrac .den{display:block;line-height:1.5em}.mw-parser-output .sr-only{border:0;clip:rect(0,0,0,0);clip-path:polygon(0px 0px,0px 0px,0px 0px);height:1px;margin:-1px;overflow:hidden;padding:0;position:absolute;width:1px}⁠b/2⁠ − 1 = 10

Worked examples

Example 1 — a first encounter with Integer lattice

Start with the simplest possible case. Write down what Integer lattice 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 Integer lattice 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 Integer lattice 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 Integer lattice

In research
Integer lattice 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 Integer lattice 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
Integer lattice is common in secondary-school and first-year university syllabi. It links to neighbouring topics Diophantine geometry, Euclidean geometry, Lattice points, so understanding it makes those chapters shorter.
In everyday life
Look for Integer lattice 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 Integer lattice in 20 minutes

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

Frequently asked questions

What is Integer lattice in simple terms?

In mathematics, the n-dimensional integer lattice, denoted ⁠ Z n {\displaystyle \mathbb {Z} ^{n}} ⁠, is the lattice in the Euclidean space ⁠ R n {\displaystyle \mathbb {R} ^{n}} ⁠ whose lattice points are n-tuples of integers. The two-dimensional integer lattice is also called the square lattice (o…

Why does Integer lattice 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 Integer lattice?

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 Integer lattice.

Tags

  • Diophantine geometry
  • Euclidean geometry
  • Lattice points

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