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Square packing

Two-dimensional packing problem From Wikipedia, the free encyclopedia

Square packing is a packing problem where the objective is to determine how many congruent squares can be packed into some larger shape, often a square or circle.

In a square

Square packing in a square is the problem of determining the maximum number of unit squares (squares of side length one) that can be packed inside a larger square of side length . If is an integer, the answer is but the precise – or even asymptotic – amount of unfilled space for an arbitrary non-integer is an open question.[1]

5 unit squares in a square of side length
10 unit squares in a square of side length
11 unit squares in a square of side length

The smallest value of that allows the packing of unit squares is known when is a perfect square, one less than a perfect square, or two less than a perfect square, as well as for equal to 5, 6, 10, 13, and 46. For all of these numbers except 5 and 10, the packing is the natural one with axis-aligned squares, and the optimal value of is , where is the ceiling (round up) function.[2][3] The figure shows the optimal packings for 5 and 10 squares, the two smallest numbers of squares for which the optimal packing involves tilted squares.[4][5]

The smallest unresolved case is . It is known that 11 unit squares cannot be packed in a square of side length less than . By contrast, the tightest known packing of 11 squares is inside a square of side length approximately 3.877084 found by Walter Trump.[4][6]

The smallest case where the best known packing involves squares at three different angles is . It was discovered in 1998 by John Bidwell, an undergraduate student at the University of Hawaiʻi, and has side length .[4]

A mutilated chessboard, an optimal packing for n2 − 2 squares

Below are the minimum solutions for values up to ; the case remains unresolved.[7]

More information Number of unit squares ...
Number of unit squares Minimal side length of big square
1 1
2, 3, 4 2
5
6, 7, 8, 9 3
10
11 3.877... ?
12, ..., 16 4
Close

Some numbers of unit squares are never the optimal number in a packing. In particular, if a square of size allows the packing of unit squares, then it must be the case that and that a packing of unit squares is also possible.[2]

Asymptotic results

Unsolved problem in mathematics
What is the asymptotic growth rate of wasted space for square packing in a half-integer square?

For larger values of the side length , the exact number of unit squares that can pack an square remains unknown. It is always possible to pack a grid of axis-aligned unit squares, but this may leave a large area, approximately , uncovered and wasted.[4] Instead, Paul Erdős and Ronald Graham showed that for a different packing by tilted unit squares, the wasted space could be significantly reduced to (the latter written in little o notation).[8] Later, Graham and Fan Chung further reduced the wasted space to ,[9] and subsequent work reduced the wasted space to ,[10] and then .[11] However, as Klaus Roth and Bob Vaughan proved, all solutions must waste space at least . In particular, when is a half-integer, the wasted space is at least proportional to its square root.[12] The precise asymptotic growth rate of the wasted space, even for half-integer side lengths, remains an open problem.[1]

In a circle

Square packing in a circle is a related problem of packing n unit squares into a circle with radius as small as possible. For this problem, good solutions are known for n up to 35. Here are the minimum known solutions for up to (although only the cases and are known to be optimal):[13]

More information , ...
Number of squares Circle radius
1
2
3
4
5
6 1.688...
7
8 1.978...
9
10
11 2.214...
12
Close

In other shapes

Packing squares into other shapes can have high computational complexity: testing whether a given number of axis-parallel unit squares can fit into a given polygon is NP-complete. It remains NP-complete even for a simple polygon (with no holes) that is orthogonally convex, with axis-parallel sides, and with half-integer vertex coordinates.[14]

See also

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