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Lovász conjecture

Lovász conjecture 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 Lovász conjecture rather than just read about it. In short: In graph theory, the Lovász conjecture (1969) is a classical problem on Hamiltonian paths in graphs. It says: Every finite connected vertex-transitive graph contains a Hamiltonian path.

Lovász conjecture — main illustration
Lovász conjecture — illustration

Key takeaways

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

Reference excerpt

In graph theory, the Lovász conjecture (1969) is a classical problem on Hamiltonian paths in graphs. It says:

Every finite connected vertex-transitive graph contains a Hamiltonian path. Originally László Lovász stated the problem in the opposite way, but this version became standard. In 1996, László Babai published a conjecture sharply contradicting this conjecture, but both conjectures remain widely open. It is not even known if a single counterexample would necessarily lead to a series of counterexamples.

Historical remarks The problem of finding Hamiltonian paths in highly symmetric graphs is quite old. As Donald Knuth describes it in volume 4 of The Art of Computer Programming, the problem originated in British campanology (bell-ringing). Such Hamiltonian paths and cycles are also closely connected to Gray codes. In each case the constructions are explicit.

Variants of the Lovász conjecture

Hamiltonian cycle Another version of Lovász conjecture states that

Every finite connected vertex-transitive graph contains a Hamiltonian cycle except the five known counterexamples. There are 5 known examples of vertex-transitive graphs with no Hamiltonian cycles (but with Hamiltonian paths): the complete graph K 2 {\displaystyle K_{2}} , the Petersen graph, the Coxeter graph and two graphs derived from the Petersen and Coxeter graphs by replacing each vertex with a triangle.

Cayley graphs None of the 5 vertex-transitive graphs with no Hamiltonian cycles is a Cayley graph. This observation leads to a weaker version of the conjecture:

Every finite connected Cayley graph contains a Hamiltonian cycle. The advantage of the Cayley graph formulation is that such graphs correspond to a finite group G {\displaystyle G} and a generating set S {\displaystyle S} . Thus one can ask for which G {\displaystyle G} and S {\displaystyle S} the conjecture holds rather than attack it in full generality.

Directed Cayley graph For directed Cayley graphs (digraphs) the Lovász conjecture is false. Various counterexamples were obtained by Robert Alexander Rankin. Still, many of the below results hold in this restrictive setting.

Special cases

Every directed Cayley graph of an abelian group has a Hamiltonian path; however, every cyclic group whose order is not a prime power has a directed Cayley graph that does not have a Hamiltonian cycle. In 1986, D. Witte proved that the Lovász conjecture holds for the Cayley graphs of p-groups. It is open even for dihedral groups, although for special sets of generators some progress has been made. For the symmetric group S n {\displaystyle S_{n}} , there are many attractive generating sets. For example, the Lovász conjecture holds in the following cases of generating sets:

a = ( 1 , 2 , … , n ) , b = ( 1 , 2 ) {\displaystyle a=(1,2,\dots ,n),b=(1,2)} (long cycle and a transposition).

s 1 = ( 1 , 2 ) , s 2 = ( 2 , 3 ) , … , s n − 1 = ( n − 1 , n ) {\displaystyle s_{1}=(1,2),s_{2}=(2,3),\dots ,s_{n-1}=(n-1,n)} (Coxeter generators). In this case a Hamiltonian cycle is generated by the Steinhaus–Johnson–Trotter algorithm. any set of transpositions corresponding to a labelled tree on { 1 , 2 , . . , n } {\displaystyle \{1,2,..,n\}} .

a = ( 1 , 2 ) , b = ( 1 , 2 ) ( 3 , 4 ) ⋯ , c = ( 2 , 3 ) ( 4 , 5 ) ⋯ {\displaystyle a=(1,2),b=(1,2)(3,4)\cdots ,c=(2,3)(4,5)\cdots }

Stong has shown that the conjecture holds for the Cayley graph of the wreath product Zm wr Zn with the natural minimal generating set when m is either even or three. In particular this holds for the cube-connected cycles, which can be generated as the Cayley graph of the wreath product Z2 wr Zn.

General groups For general finite groups, only a few results are known:

S = { a , b } , ( a b ) 2 = 1 {\displaystyle S=\{a,b\},(ab)^{2}=1} (Rankin generators)

S = { a , b , c } , a 2 = b 2 = c 2 = [ a , b ] = 1 {\displaystyle S=\{a,b,c\},a^{2}=b^{2}=c^{2}=[a,b]=1} (Rapaport–Strasser generators)

S = { a , b , c } , a 2 = 1 , c = a − 1 b a {\displaystyle S=\{a,b,c\},a^{2}=1,c=a^{-1}ba} (Pak–Radoičić generators)

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Lovász conjecture

Start with the simplest possible case. Write down what Lovász conjecture 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 Lovász conjecture 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 Lovász conjecture 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 Lovász conjecture

In research
Lovász conjecture 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 Lovász conjecture 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
Lovász conjecture is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebraic graph theory, Conjectures, Finite groups, so understanding it makes those chapters shorter.
In everyday life
Look for Lovász conjecture 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 Lovász conjecture in 20 minutes

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

Frequently asked questions

What is Lovász conjecture in simple terms?

In graph theory, the Lovász conjecture (1969) is a classical problem on Hamiltonian paths in graphs. It says: Every finite connected vertex-transitive graph contains a Hamiltonian path.

Why does Lovász conjecture 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 Lovász conjecture?

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 Lovász conjecture.

Tags

  • Algebraic graph theory
  • Conjectures
  • Finite groups
  • Group theory
  • Hamiltonian paths and cycles
  • Unsolved problems in graph theory

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