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Moving sofa problem

Moving sofa 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 Moving sofa problem rather than just read about it. In short: In mathematics, the moving sofa problem or sofa problem is a two-dimensional idealization of real-life furniture-moving problems and asks for the rigid two-dimensional shape of the largest area that can be maneuvered through an L-shaped planar region with legs of unit width. The area thus obtained is referred to as the sofa constant.

Moving sofa problem — main illustration
Moving sofa problem — illustration

Key takeaways

  • Moving sofa 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 Moving sofa problem to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Moving sofa problem from memory before moving on to harder problems.

Reference excerpt

In mathematics, the moving sofa problem or sofa problem is a two-dimensional idealization of real-life furniture-moving problems and asks for the rigid two-dimensional shape of the largest area that can be maneuvered through an L-shaped planar region with legs of unit width. The area thus obtained is referred to as the sofa constant. The exact value of the sofa constant is an open problem. The leading solution, by Joseph L. Gerver, has a value of approximately 2.2195. In November 2024, Jineon Baek posted a 119-page arXiv preprint claiming that Gerver's value is optimal, which if true would solve the moving sofa problem.

History The first formal publication was by the Austrian-Canadian mathematician Leo Moser in 1966, although there had been many informal mentions before that date.

Bounds Work has been done to prove that the sofa constant A {\displaystyle A} cannot be below or above specific values (lower bounds and upper bounds).

Lower

A lower bound on the sofa constant can be proven by finding a specific shape with a high area and a path for moving it through the corner. A ≥ π / 2 ≈ 1.57 {\displaystyle A\geq \pi /2\approx 1.57} is an obvious lower bound. This comes from a sofa that is a half-disk of unit radius, which can slide up one passage into the corner, rotate within the corner around the center of the disk, and then slide out the other passage. In 1968, John Hammersley stated a lower bound of A ≥ π / 2 + 2 / π ≈ 2.2074 {\displaystyle A\geq \pi /2+2/\pi \approx 2.2074} . This can be achieved using a shape resembling an old-fashioned telephone handset, consisting of two quarter-disks of radius 1 on either side of a 1 by 4 / π {\displaystyle 4/\pi } rectangle from which a half-disk of radius 2 / π {\displaystyle 2/\pi } has been removed. In 1992, Joseph L. Gerver of Rutgers University described a sofa with 18 curve sections, each taking a smooth analytic form. This further increased the lower bound for the sofa constant to approximately 2.2195 (sequence A128463 in the OEIS).

Upper Hammersley stated an upper bound on the sofa constant of at most 2 2 ≈ 2.8284 {\displaystyle 2{\sqrt {2}}\approx 2.8284} . Yoav Kallus and Dan Romik published a new upper bound in 2018, capping the sofa constant at 2.37 {\displaystyle 2.37} . Their approach involves rotating the corridor (rather than the sofa) through a finite sequence of distinct angles (rather than continuously) and using a computer search to find translations for each rotated copy so that the intersection of all of the copies has a connected component with as large an area as possible. As they show, this provides a valid upper bound for the optimal sofa, which can be made more accurate using more rotation angles. Five carefully chosen rotation angles lead to the stated upper bound.

Ambidextrous sofa

A variant of the sofa problem asks the shape of the largest area that can go around both left and right 90-degree corners in a corridor of unit width (where the left and right corners are spaced sufficiently far apart that one is fully negotiated before the other is encountered). A lower bound of area approximately 1.64495521 has been described by Dan Romik. 18 curve sections also describe his sofa.

See also Dirk Gently's Holistic Detective Agency – A novel by Douglas Adams, with a subplot that revolves around such a problem. Moser's worm problem – Unsolved geometry problem about planar regions Square packing in a square – Two-dimensional packing problemPages displaying short descriptions of redirect targets "The One with the Cop" – An episode of the American TV series Friends with a subplot pivoting around such a problem.

References

External links Romik, Dan (March 23, 2017). "The Moving Sofa Problem" (video). YouTube. Brady Haran. Archived from the original on 2021-12-21. Retrieved 24 March 2017. SofaBounds - Program to calculate bounds on the sofa moving problem. A 3D model of Romik's ambidextrous sofa "Mathematician solves the moving sofa problem". Phys.org. 2024-12-11. Retrieved 2024-12-12. The Largest Sofa You Can Move Around a Corner

Illustrations

Moving sofa problem: Diagram of the moving sofa problem
Diagram of the moving sofa problem
Moving sofa problem: The Hammersley sofa has an area of 2.2074, but is not the largest solution
The Hammersley sofa has an area of 2.2074, but is not the largest solution
Moving sofa problem illustration
Moving sofa problem illustration
Moving sofa problem: Overlap of Hammersley’s sofa (red) and Gerver’s sofa (blue).
Overlap of Hammersley’s sofa (red) and Gerver’s sofa (blue).

Worked examples

Example 1 — a first encounter with Moving sofa problem

Start with the simplest possible case. Write down what Moving sofa 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 Moving sofa 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 Moving sofa 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 Moving sofa problem

In research
Moving sofa 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 Moving sofa 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
Moving sofa problem is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1966 introductions, Couches, Discrete geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Moving sofa 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 Moving sofa problem in 20 minutes

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

Frequently asked questions

What is Moving sofa problem in simple terms?

In mathematics, the moving sofa problem or sofa problem is a two-dimensional idealization of real-life furniture-moving problems and asks for the rigid two-dimensional shape of the largest area that can be maneuvered through an L-shaped planar region with legs of unit width. The area thus obtained…

Why does Moving sofa 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 Moving sofa 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 Moving sofa problem.

Tags

  • 1966 introductions
  • Couches
  • Discrete geometry
  • Recreational mathematics
  • Unsolved problems in geometry

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