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Václav Chvátal

Václav Chvátal 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 Václav Chvátal rather than just read about it. In short: Václav (Vašek) Chvátal (Czech: [ˈvaːtslaf ˈxvaːtal]) is a Professor Emeritus in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Quebec, Canada, and a visiting professor at Charles University in Prague. He has published extensively on topics in graph theory, combinatorics, and combinatorial optimization.

Václav Chvátal — main illustration
Václav Chvátal — illustration

Key takeaways

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

Reference excerpt

Václav (Vašek) Chvátal (Czech: [ˈvaːtslaf ˈxvaːtal]) is a Professor Emeritus in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Quebec, Canada, and a visiting professor at Charles University in Prague. He has published extensively on topics in graph theory, combinatorics, and combinatorial optimization.

Biography Chvátal was born in 1946 in Prague and educated in mathematics at Charles University in Prague, where he studied under the supervision of Zdeněk Hedrlín. He fled Czechoslovakia in 1968, three days after the Soviet invasion, and completed his Ph.D. in Mathematics at the University of Waterloo, under the supervision of Crispin St. J. A. Nash-Williams, in the fall of 1970. Subsequently, he took positions at McGill University (1971 and 1978–1986), Stanford University (1972 and 1974–1977), the Université de Montréal (1972–1974 and 1977–1978), and Rutgers University (1986–2004) before returning to Montreal for the Canada Research Chair in Combinatorial Optimization at Concordia (2004–2011) and the Canada Research Chair in Discrete Mathematics (2011–2014) till his retirement.

Research

Chvátal first learned of graph theory in 1964, on finding a book by Claude Berge in a Plzeň bookstore and much of his research involves graph theory:

His first mathematical publication, at the age of 19, concerned directed graphs that cannot be mapped to themselves by any nontrivial graph homomorphism Another graph-theoretic result of Chvátal was the 1970 construction of the smallest possible triangle-free graph that is both 4-chromatic and 4-regular, now known as the Chvátal graph. A 1972 paper relating Hamiltonian cycles to connectivity and maximum independent set size of a graph, earned Chvátal his Erdős number of 1. Specifically, if there exists an s such that a given graph is s-vertex-connected and has no (s + 1)-vertex independent set, the graph must be Hamiltonian. Avis et al. tell the story of Chvátal and Erdős working out this result over the course of a long road trip, and later thanking Louise Guy "for her steady driving." In a 1973 paper, Chvátal introduced the concept of graph toughness, a measure of graph connectivity that is closely connected to the existence of Hamiltonian cycles. A graph is t-tough if, for every k greater than 1, the removal of fewer than tk vertices leaves fewer than k connected components in the remaining subgraph. For instance, in a graph with a Hamiltonian cycle, the removal of any nonempty set of vertices partitions the cycle into at most as many pieces as the number of removed vertices, so Hamiltonian graphs are 1-tough. Chvátal conjectured that 3/2-tough graphs, and later that 2-tough graphs, are always Hamiltonian; despite later researchers finding counterexamples to these conjectures, it still remains open whether some constant bound on the graph toughness is enough to guarantee Hamiltonicity. Some of Chvátal's work concerns families of sets, or equivalently hypergraphs, a subject already occurring in his Ph.D. thesis, where he also studied Ramsey theory.

In a 1972 conjecture that Erdős called "surprising" and "beautiful", and that remains open (with a $10 prize offered by Chvátal for its solution) he suggested that, in any family of sets closed under the operation of taking subsets, the largest pairwise-intersecting subfamily may always be found by choosing an element of one of the sets and keeping all sets containing that element. In 1979, he studied a weighted version of the set cover problem, and proved that a greedy algorithm provides good approximations to the optimal solution, generalizing previous unweighted results by David S. Johnson (J. Comp. Sys. Sci. 1974) and László Lovász (Discrete Math. 1975). Chvátal first became interested in linear programming through the influence of Jack Edmonds while Chvátal was a student at Waterloo. He quickly recognized the importance of cutting planes for attacking combinatorial optimization problems such as computing maximum independent sets and, in particular, introduced the notion of a cutting-plane proof. At Stanford in the 1970s, he began writing his popular textbook, Linear Programming, which was published in 1983. Cutting planes lie at the heart of the branch and cut method used by efficient solvers for the traveling salesman problem. Between 1988 and 2005, the team of David L. Applegate, Robert E. Bixby, Vašek Chvátal, and William J. Cook developed one such solver, Concorde. The team was awarded The Beale-Orchard-Hays Prize for Excellence in Computational Mathematical Programming in 2000 for their ten-page paper enumerating some of Concorde's refinements of the branch and cut method that led to the solution of a 13,509-city instance and it was awarded the Frederick W. Lanchester Prize in 2007 for their book, The Traveling Salesman Problem: A Computational Study. Chvátal is also known for proving the art gallery theorem, for researching a self-describing digital sequence, for his work with David Sankoff on the Chvátal–Sankoff constants controlling the behavior of the longest common subsequence problem on random inputs, and for his work with Endre Szemerédi on hard instances for resolution theorem proving.

Books Vašek Chvátal (1983). Linear Programming. W.H. Freeman. ISBN 978-0-7167-1587-0.. Japanese translation published by Keigaku Shuppan, Tokyo, 1986. Claude Berge; Vašek Chvátal, eds. (1984). Topics on Perfect Graphs. Amsterdam; New York : New York: Elsevier North-Holland. ISBN 978-0-444-86587-8. David L. Applegate; Robert E. Bixby; Vašek Chvátal; William J. Cook (2007). The Traveling Salesman Problem: A Computational Study. Princeton University Press. ISBN 978-0-691-12993-8. Vašek Chvátal, ed. (2011). Combinatorial Optimization: Methods and Applications. IOS Press. ISBN 978-1-60750-717-8. Archived from the original on 2017-03-21. Retrieved 2017-03-22. Vašek Chvátal (2021). Discrete Mathematical Charms of Paul Erdős. A Simple Introduction. Cambridge University Press. ISBN 978-1-108-92740-6.

See also List of University of Waterloo people

References

External links Chvátal's website on encs.concordia.ca

Illustrations

Václav Chvátal illustration
Václav Chvátal: The Chvátal graph
The Chvátal graph

Worked examples

Example 1 — a first encounter with Václav Chvátal

Start with the simplest possible case. Write down what Václav Chvátal 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 Václav Chvátal 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 Václav Chvátal 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 Václav Chvátal

In research
Václav Chvátal 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 Václav Chvátal 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
Václav Chvátal is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1946 births, Academic staff of Concordia University, Canada Research Chairs, so understanding it makes those chapters shorter.
In everyday life
Look for Václav Chvátal 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 Václav Chvátal in 20 minutes

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

Frequently asked questions

What is Václav Chvátal in simple terms?

Václav (Vašek) Chvátal (Czech: [ˈvaːtslaf ˈxvaːtal]) is a Professor Emeritus in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Quebec, Canada, and a visiting professor at Charles University in Prague. He has published extensively on topics in graph…

Why does Václav Chvátal 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 Václav Chvátal?

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 Václav Chvátal.

Tags

  • 1946 births
  • Academic staff of Concordia University
  • Canada Research Chairs
  • Canadian mathematicians
  • Canadian people of Czech descent
  • Charles University alumni
  • Combinatorialists
  • Czech mathematicians
  • Czechoslovak emigrants to Canada
  • John von Neumann Theory Prize winners
  • Living people
  • Scientists from Prague

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