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Moser's worm problem

Moser's worm problem 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 Moser's worm problem rather than just read about it. In short: Moser's worm problem (also known as mother worm's blanket problem) is an unsolved problem in geometry formulated by the Austrian-Canadian mathematician Leo Moser in 1966. The problem asks for the region of smallest area that can accommodate every plane curve of length 1.

Moser's worm problem — main illustration
Moser's worm problem — illustration

Key takeaways

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

Reference excerpt

Moser's worm problem (also known as mother worm's blanket problem) is an unsolved problem in geometry formulated by the Austrian-Canadian mathematician Leo Moser in 1966. The problem asks for the region of smallest area that can accommodate every plane curve of length 1. Here "accommodate" means that the curve may be rotated and translated to fit inside the region. In some variations of the problem, the region is restricted to be convex.

Examples For example, a circular disk of radius 1/2 can accommodate any plane curve of length 1 by placing the midpoint of the curve at the center of the disk. Another possible solution has the shape of a rhombus with vertex angles of 60° and 120° and with a long diagonal of unit length. However, these are not optimal solutions; other shapes are known that solve the problem with smaller areas.

Solution properties It is not completely trivial that a minimum-area cover exists. An alternative possibility would be that there is some minimal area that can be approached but not actually attained. However, there does exist a smallest convex cover. Its existence follows from the Blaschke selection theorem. It is also not trivial to determine whether a given shape forms a cover. Gerriets & Poole (1974) conjectured that a shape accommodates every unit-length curve if and only if it accommodates every unit-length polygonal chain with three segments, a more easily tested condition, but Panraksa, Wetzel & Wichiramala (2007) showed that no finite bound on the number of segments in a polychain would suffice for this test.

Known bounds The problem remains open, but over a series of papers, researchers have tightened the gap between the known lower and upper bounds. In particular, Norwood & Poole (2003) constructed a (nonconvex) universal cover and showed that the minimum shape has area at most 0.260437; Gerriets & Poole (1974) and Norwood, Poole & Laidacker (1992) gave weaker upper bounds. In the convex case, Wang (2006) improved an upper bound to 0.270911861. Khandhawit, Pagonakis & Sriswasdi (2013) used a min-max strategy for the area of a convex set containing a segment, a triangle, and a rectangle to show a lower bound of 0.232239 for a convex cover. In the 1970s, John Wetzel conjectured that a 30° circular sector of unit radius is a cover with area π / 12 ≈ 0.2618 {\displaystyle \pi /12\approx 0.2618} . This conjecture was partially proved for "drapeable" unit arcs in Movshovich & Wetzel (2017); it was finally settled in general by Panraksa & Wichiramala (2021). This improves the upper bound for the convex cover by about 3%.

See also Moving sofa problem, the problem of finding a maximum-area shape that can be rotated and translated through an L-shaped corridor Kakeya set, a set of minimal area that can accommodate every unit-length line segment (with translations allowed, but not rotations) Lebesgue's universal covering problem, find the smallest convex area that can cover any planar set of unit diameter Bellman's lost-in-a-forest problem, find the shortest path to escape from a forest of known size and shape.

Notes

References Gerriets, John; Poole, George (1974), "Convex regions which cover arcs of constant length", The American Mathematical Monthly, 81 (1): 36–41, doi:10.2307/2318909, JSTOR 2318909, MR 0333991. Khandhawit, Tirasan; Pagonakis, Dimitrios; Sriswasdi, Sira (2013), "Lower Bound for Convex Hull Area and Universal Cover Problems", International Journal of Computational Geometry & Applications, 23 (3): 197–212, arXiv:1101.5638, doi:10.1142/S0218195913500076, MR 3158583, S2CID 207132316. Norwood, Rick; Poole, George (2003), "An improved upper bound for Leo Moser's worm problem", Discrete and Computational Geometry, 29 (3): 409–417, doi:10.1007/s00454-002-0774-3, MR 1961007. Norwood, Rick; Poole, George; Laidacker, Michael (1992), "The worm problem of Leo Moser", Discrete and Computational Geometry, 7 (2): 153–162, doi:10.1007/BF02187832, MR 1139077. Panraksa, Chatchawan; Wetzel, John E.; Wichiramala, Wacharin (2007), "Covering n-segment unit arcs is not sufficient", Discrete and Computational Geometry, 37 (2): 297–299, doi:10.1007/s00454-006-1258-7, MR 2295060. Wang, Wei (2006), "An improved upper bound for the worm problem", Acta Mathematica Sinica, 49 (4): 835–846, MR 2264090. Panraksa, Chatchawan; Wichiramala, Wacharin (2021), "Wetzel's sector covers unit arcs", Periodica Mathematica Hungarica, 82 (2): 213–222, arXiv:1907.07351, doi:10.1007/s10998-020-00354-x, S2CID 225397486. Movshovich, Yevgenya; Wetzel, John (2017), "Drapeable unit arcs fit in the unit 30° sector", Advances in Geometry, 17 (4): 497–506, doi:10.1515/advgeom-2017-0011, S2CID 125746596.

Illustrations

Moser's worm problem: Some possible bounds to the Moser's worm problem:

1.An upper bound is a disc of diameter equal to the length of the worm.

2.By symmetry, half the disc is sufficient.

3.The cover must support a width at least the worm's length divided by π

4.A solution by John E. Wetzel.[1]
Some possible bounds to the Moser's worm problem: 1.An upper bound is a disc of diameter equal to the length of the worm. 2.By symmetry, half the disc is sufficient. 3.The cover must support a width at least the worm's length divided by π 4.A solution by John E. Wetzel.[1]

Worked examples

Example 1 — a first encounter with Moser's worm problem

Start with the simplest possible case. Write down what Moser's worm problem 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 Moser's worm problem 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 Moser's worm problem 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 Moser's worm problem

In research
Moser's worm problem 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 Moser's worm problem 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
Moser's worm problem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Area, Curves, Discrete geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Moser's worm problem 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 Moser's worm problem in 20 minutes

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

Frequently asked questions

What is Moser's worm problem in simple terms?

Moser's worm problem (also known as mother worm's blanket problem) is an unsolved problem in geometry formulated by the Austrian-Canadian mathematician Leo Moser in 1966. The problem asks for the region of smallest area that can accommodate every plane curve of length 1.

Why does Moser's worm problem 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 Moser's worm problem?

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 Moser's worm problem.

Tags

  • Area
  • Curves
  • Discrete geometry
  • Recreational mathematics
  • Unsolved problems in geometry

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