Use greedy vertex coloring algorithm to prove the upper bound of χ

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SUMMARY

The discussion revolves around the application of the greedy vertex coloring algorithm to establish the upper bound of the chromatic number (χ) in graph theory. The user references a specific definition of the algorithm from a PDF document and expresses difficulty in proving that the property of the greedy algorithm holds under certain constraints. The key constraint discussed is that the number of colors used by the greedy algorithm will not exceed i+1, provided that the adjacency condition is met. The user emphasizes the importance of processing the most problematic vertices first to achieve a valid proof.

PREREQUISITES
  • Understanding of graph theory concepts, specifically chromatic numbers.
  • Familiarity with the greedy vertex coloring algorithm.
  • Knowledge of adjacency lists and their implications in graph coloring.
  • Basic proof techniques in combinatorial mathematics.
NEXT STEPS
  • Study the properties of the greedy vertex coloring algorithm in detail.
  • Learn about the chromatic number and its significance in graph theory.
  • Explore techniques for ordering vertices to optimize graph coloring.
  • Review combinatorial proof strategies to strengthen argumentation skills.
USEFUL FOR

This discussion is beneficial for students and researchers in computer science, particularly those focusing on graph theory, algorithm design, and combinatorial optimization.

bremenfallturm
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Homework Statement
Let ##e_i(G)## denote the number of vertices of a graph ##G## whose degree is strictly greater than ##i##. Use the greedy algorithm to show that if ##e_i(G) \le i+1## for some ##i##, then ##\chi(G) \le i+1## (Discrete Mathematics by Biggs, 2nd Ed, Exercise 15.7.3)
Relevant Equations
Definition of "the greedy algorithm". One such definition (which matches what my book uses) can be found here: https://people.cs.uchicago.edu/~laci/HANDOUTS/greedycoloring.pdf (I also added a screenshot of the definition in my post)
Hi!

I am struggling with the exercise I mentioned under "Homework statement".

The exercise is about a specific "greedy vertex coloring algorithm". One definition (which matches what my book uses) can be found here: https://people.cs.uchicago.edu/~laci/HANDOUTS/greedycoloring.pdf

Here is also a screenshot of the relevant parts of the linked PDF, i.e. the def. of the algorithm:
1756886551546.webp


Sadly I don't have much to show as far as a solution attempt goes, as I am stuck on how to proceed.
I thought that one approach might be to prove that this property of the greedy algorithm is true, given my constraints: ##|\left\{c(j)|j<i, j \in \text{adj}(i)\right\}| \le i##, because that implies that the no color ##> i+1## will be picked by the greedy algorithm.
However, I can't figure out a way to prove that.
 
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The trick is to handle the vertices in the right order. Which vertices will be the most problematic? Deal with those first.
 

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