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For all positive , some finite graph has girth greater than and chromatic number greater than
Statement
For every pair of positive natural numbers , there is a finite simple graph whose girth is greater than and whose chromatic number is greater than .
Facts & Assumptions
Given: Positive naturals .
Girth and chromatic number have their finite-graph definitions; a forest has infinite girth, and in every two distinct vertices are adjacent (Graph distance within a component, eccentricity, diameter and girth, including the acyclic convention, Proper vertex colourings and chromatic number, Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
Deleting vertices produces an induced subgraph and cannot create a cycle (Subgraphs, induced subgraphs and spanning subgraphs).
The expected short-cycle count and the independence-number probability obey the bounds in The expected number of cycles of length at most in and for .
Markov bounds upper tails of nonnegative variables, the union bound controls finite unions, complements have complementary probabilities, and positive probability gives a witness (Markov's inequality on a finite probability space, The finite union bound, Normalization, nonnegativity, monotonicity, complements, and differences in a finite probability space, An event of positive probability in a finite probability space is nonempty).
Deleting at most one vertex per listed defect leaves a repaired object of size bounded below as in the alteration method (The deletion-alteration method converts an expected defect count into a deterministic lower bound).
Real-power laws hold and grows more slowly than every positive power of (The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents, The logarithm grows more slowly than every positive real power).
, the exponential is strictly increasing and positive, and ( for every real , hence , The exponential function is strictly increasing, The exponential is positive and satisfies ).
Proof
If , take . It has no cycle of length at most . Every proper colouring gives distinct colours to its pairwise adjacent vertices, while assigning one colour per vertex is proper, so its chromatic number is ; its girth is therefore greater than .
For the remaining range , choose a sufficiently large natural divisible by , put , and put .
By [L3] and the real-power laws, , which is less than for all sufficiently large . Markov then gives .
Enlarge so that and . Then , so , whereas . Thus [L3] bounds by an exponential whose exponent is less than . Enlarge once more so that this exponent is less than ; then [L7] gives a probability less than .
Enlarge the choice of so both strict bounds hold. The union bound then gives positive probability that and simultaneously; fix such a graph.
Delete one vertex from each cycle of length at most . Fewer than vertices are deleted, the induced survivor has more than vertices, and [L2] gives girth greater than .
If were -colourable, one colour class would have at least vertices and would be independent, contradicting . Thus .
Step 1.1 covers , while steps 1.2 through 5.1 cover , completing the construction.
Depends on
- Graph distance within a component, eccentricity, diameter and girth, including the acyclic convention
- Proper vertex colourings and chromatic number
- Empty and complete graphs, complete bipartite graphs, and the convention that $P_n$ and $C_n$ have $n$ vertices
- Subgraphs, induced subgraphs and spanning subgraphs
- The expected number of cycles of length at most $\ell$ in $G(n,p)$
- $\mathbb P(\alpha(G(n,p))\ge s)\le\binom ns(1-p)^{\binom s2}\le n^s\exp(-p\binom s2)$ for $s\le n$
- Normalization, nonnegativity, monotonicity, complements, and differences in a finite probability space
- Markov's inequality on a finite probability space
- The finite union bound
- An event of positive probability in a finite probability space is nonempty
- The deletion-alteration method converts an expected defect count into a deterministic lower bound
- $1+x\le\exp(x)$ for every real $x$, hence $(1-p)^m\le\exp(-mp)$
- The exponential is positive and satisfies $\exp(-x)=1/\exp(x)$
- The exponential function is strictly increasing
- The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents
- The logarithm grows more slowly than every positive real power
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 154 results over 28 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- J. Matousek and J. Vondrak, The Probabilistic Method, Theorem 4.2.1 (standard reference, not scraped)
- Y. Zhao, MIT 18.218 Probabilistic Method in Combinatorics, Theorem 6.3 (standard reference, not scraped)
- M. Bucic, Probabilistic Method, Theorem 4.1 (standard reference, not scraped)