ArticleslgStudy

mathematics

Kissing number

Kissing number 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 Kissing number rather than just read about it. In short: In geometry, the kissing number of a mathematical space is defined as the greatest number of non-overlapping unit spheres (i.e., of radius 1) that can be arranged in that space such that they each touch a common unit sphere. For a given sphere packing (arrangement of spheres) in a given space, a kissing number can also be defined for each individual sphere as the number of spheres it touches.

Kissing number — main illustration
Kissing number — illustration

Key takeaways

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

Reference excerpt

In geometry, the kissing number of a mathematical space is defined as the greatest number of non-overlapping unit spheres (i.e., of radius 1) that can be arranged in that space such that they each touch a common unit sphere. For a given sphere packing (arrangement of spheres) in a given space, a kissing number can also be defined for each individual sphere as the number of spheres it touches. For a lattice packing, the kissing number is the same for every sphere; but for an arbitrary sphere packing, the kissing number may vary from one sphere to another. Other names for kissing number that have been used are Newton number (after the originator of the problem), and contact number. In general, the kissing number problem seeks the maximum possible kissing number for n-dimensional spheres in (n + 1)-dimensional Euclidean space. Ordinary spheres correspond to two-dimensional closed surfaces in three-dimensional space. Finding the kissing number when centers of spheres are confined to a line (the one-dimensional case) or a plane (two-dimensional case) is trivial. Proving a solution to the three-dimensional case, despite being easy to conceptualise and model in the physical world, eluded mathematicians until the mid-20th century. Solutions in higher dimensions are considerably more challenging, and only a handful of cases have been solved exactly. For others, investigations have determined upper and lower bounds based on the sum of squares hierarchy of semidefinite programs, but not exact solutions.

Known greatest kissing numbers

One dimension In one dimension, the kissing number is 2:

Two dimensions In two dimensions, the kissing number is 6:

Proof: Consider a circle with center C that is touched by circles with centers C1, C2, ... Consider the rays CCi. These rays all emanate from the same center C, so the sum of angles between adjacent rays is 360°. Assume by contradiction that there are more than six touching circles. Then at least two adjacent rays, say CC1 and CC2, are separated by an angle of less than 60°. The segments CCi have the same length – 2r – for all i. Therefore, the triangle △CC1C2 is isosceles, and its third side – C1C2 – has a side length of less than 2r. Therefore, the circles 1 and 2 intersect – a contradiction.

Three dimensions

In three dimensions, the kissing number is 12, but the correct value was much more difficult to establish than in dimensions one and two. It is easy to arrange 12 spheres so that each touches a central sphere, with a lot of space left over, and it is not obvious that there is no way to pack in a 13th sphere. (In fact, there is so much extra space that any two of the 12 outer spheres can exchange places through a continuous movement without any of the outer spheres losing contact with the center one.) This was the subject of a famous disagreement between mathematicians Isaac Newton and David Gregory. Newton correctly thought that the limit was 12; Gregory thought that a 13th could fit. Some incomplete proofs that Newton was correct were offered in the 19th century, most notably one by Reinhold Hoppe, but the first correct proof (according to Brass, Moser, and Pach) did not appear until 1953 by Schütte and van der Waerden. The twelve neighbors of the central sphere correspond to the maximum bulk coordination number of an atom in a crystal lattice in which all atoms have the same size (as in a chemical element). A coordination number of 12 is found in a cubic close-packed or a hexagonal close-packed structure.

Larger dimensions In four dimensions, the kissing number is 24. This was proven in 2003 by Oleg Musin. Previously, the answer was thought to be either 24 or 25: it is straightforward to produce a packing of 24 spheres around a central sphere (one can place the spheres at the vertices of a suitably scaled 24-cell centered at the origin), but, as in the three-dimensional case, there is a lot of space left over — even more, in fact, than for n = 3 — so the situation was even less clear. The existence of the highly symmetrical E8 lattice and Leech lattice has allowed to determine the kissing number for n = 8 (namely, 240) and for n = 24 (namely, 196,560). The kissing number in n dimensions is unknown for other values of n. If arrangements are restricted to lattice arrangements, in which the centres of the spheres all lie on points in a lattice, then this restricted kissing number is known for n = 1 to 9 and n = 24 dimensions. For 5, 6, and 7 dimensions, the arrangement with the highest known kissing number found so far is the optimal lattice arrangement, but the existence of a non-lattice arrangement with a higher kissing number has not been excluded.

Some known bounds The following table lists some known bounds on the kissing number in various dimensions. The dimensions in which the kissing number is known are listed in boldface.

Generalization The kissing number problem can be generalized to the problem of finding the maximum number of non-overlapping congruent copies of any convex body that touch a given copy of the body. There are different versions of the problem, depending on whether the copies are only required to be congruent to the original body, translates of the original body, or translated by a lattice. For example, for the regular tetrahedron, it is known that both the lattice kissing number and the translative kissing number are equal to 18, whereas the congruent kissing number is at least 56.

Algorithms There are several approximation algorithms on intersection graphs where the approximation ratio depends on the kissing number. For example, there is a polynomial-time 10-approximation algorithm to find a maximum non-intersecting subset of a set of rotated unit squares.

Mathematical statement The kissing number problem can be stated as the existence of a solution to a set of inequalities. Let xn be a set of N D-dimensional position vectors of sphere centres. The condition that this set of spheres can lie round the central sphere without overlapping is:

… excerpt ends here. Continue reading the full article.

Illustrations

Kissing number: A highly symmetrical realization of the kissing number 12 in three dimensions is by aligning the centers of outer spheres with vertices of a regular icosahedron. This leaves slightly more than 10% of the radius between two nearby spheres.
A highly symmetrical realization of the kissing number 12 in three dimensions is by aligning the centers of outer spheres with vertices of a regular icosahedron. This leaves slightly more than 10% of the radius between two nearby spheres.
Kissing number: Rough volume estimates show that kissing number in n dimensions grows exponentially in n. The base of exponential growth is not known. The gray area in the above plot represents the possible values between known upper and lower bounds. Circles represent values that are known exactly.
Rough volume estimates show that kissing number in n dimensions grows exponentially in n. The base of exponential growth is not known. The gray area in the above plot represents the possible values between known upper and lower bounds. Circles represent values that are known exactly.

Worked examples

Example 1 — a first encounter with Kissing number

Start with the simplest possible case. Write down what Kissing number 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 Kissing number 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 Kissing number 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 Kissing number

In research
Kissing number 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 Kissing number 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
Kissing number is common in secondary-school and first-year university syllabi. It links to neighbouring topics Discrete geometry, Packing problems, so understanding it makes those chapters shorter.
In everyday life
Look for Kissing number 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.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Kissing number” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Kissing number in 20 minutes

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

Frequently asked questions

What is Kissing number in simple terms?

In geometry, the kissing number of a mathematical space is defined as the greatest number of non-overlapping unit spheres (i.e., of radius 1) that can be arranged in that space such that they each touch a common unit sphere. For a given sphere packing (arrangement of spheres) in a given space, a ki…

Why does Kissing number 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 Kissing number?

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 Kissing number.

Tags

  • Discrete geometry
  • Packing problems

Keep exploring