SlideShare a Scribd company logo
1 of 17
Download to read offline
2-rankings of Graphs
Jordan Almeter, Samet Demircan, Andrew Kallmeyer
September 25, 2015
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 1 / 17
Definitions
Definition
A ranking of a graph G is a proper coloring c : V (G) → [t] such that
∀u, v ∈ V (G) if P is a nontrivial uv-path with c(u) = c(v), then P
contains some vertex w where c(w) > c(u).
Definition
A k-ranking of a graph G is a proper coloring c : V (G) → [t] such that
∀u, v ∈ V (G) if P is a nontrivial uv-path of length at most k with
c(u) = c(v), then P contains some vertex w where c(w) > c(u).
Definition
The k-ranking-number of a graph G, denoted χk(G), is the minimum t
such that G has a k-ranking c : V (G) → [t].
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 2 / 17
2-ranking examples
1
2
2
2
1
1
1
3
2
good good bad
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 3 / 17
Background
Definition
A star coloring is a proper coloring of a graph G such that every path on
four vertices is colored with at least 3 colors. The star coloring number
of a graph is written as χS (G).
Definition
If G is a graph then G2 is the graph obtained from G by adding an edge
between every pair of vertices at distance two.
Observation
χ(G) ≤ χS (G) ≤ χ2(G) ≤ χ(G2)
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 4 / 17
Findings
2-Ranking of the Hypercube Qn
Applications related to Toroidal grids
2-Ranking of Cartesian products of complete graphs, Km Kn
2-Ranking of Subcubic Graphs
A probabilistic construction
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 5 / 17
2-Ranking of the Hypercube
Definition
G is a d-degenerate graph if every subgraph contains a vertex of degree
at most d
Lemma
Let G be a d-degenerate graph, then χ2(G) ≥ d + 1
Proof.
G must have a subgraph H with minimum degree d. Let v ∈ V (H) be a
vertex with the lowest rank used in H. Then, the neighbors of v must
have distinct colors and v has at least d neighbors, so χ2(H) ≥ d + 1.
Thus, χ2(G) ≥ d + 1.
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 6 / 17
2-Ranking of the Hypercube (cont.)
Theorem
For all hypercubes Qn on n dimensions, χ2(Qn) = n + 1
We prove this by construction.
Since Qn is n-degenerate, by the previous lemma we have
χ2(Qn) ≥ n + 1.
For all k if n = 2k − 1 then there is a coloring of Q2
n using n + 1
colors based on error correcting codes given by Ngo et al. (2002).
We extend this coloring to obtain 2-rankings for all Qn by adding
small-valued ”buffer” colors to this distance two coloring so that the
only paths of length two where the endpoints have the same rank are
ones with buffer colors at the endpoints.
An inductive coloring ensures that interactions between buffer
characters are valid.
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 7 / 17
2-Ranking of the Hypercube (cont.)
Each vertex x of a n-dimensional unit cube can be represented as a binary
bit string of length n which our coloring is based on. Specifically our
coloring of Qn, where n = 2k + t, is the following:
cn(x) =
ct([x1, . . . , xt]) if xt+1 + · · · + xn ≡ 0 mod 2
Ax + t otherwise
Where A is an augmented matrix with n columns and k rows. Within the
first t columns we make all columns distinct and include no zero column.
The rightmost 2k columns are all of the distinct binary vectors of length k.
For example a valid matrix for Q6 is:
A =
1 0 1 0 1 0
0 1 0 1 1 0
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 8 / 17
2-Ranking of the toroidal grid
Definition
A d-dimensional toroidal grid is the cartesian product of d cycles.
Corollary (Hypercubes)
If G = Cn1 Cn2 · · · Cnd
and 4 divides each ni , then
χs(G) ≤ χ2(G) = 2d + 1
Theorem (Fertin, Raspaud, Reed)
If G = Cn1 Cn2 · · · Cnd
, then
d + 2 ≤ χs(G) ≤
2d + 1 when 2d + 1 divides each ni
2d2 + d + 1 otherwise
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 9 / 17
2-Ranking of Km Kn
This graph can be modeled as an m × n grid where vertices are adjacent if
they share a row or column. We may assume m ≤ n.
Lemma
In a 2-ranking of Km Kn, for all k ≤ m each column of height m must
contain k labels which appear k or fewer times in the graph.
Proof.
If the highest rank in a column appears more than once in the grid, we
have a high-low-high path; if the second highest rank appears more than
twice in the grid, we have a bad path; and so on.
This puts a limit on how many times a label can appear in a grid. For an
m × n grid, a ranking in which n labels appear only once, n/2 labels appear
only twice, n/3 labels appear only three times, and so on, is optimal.
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 10 / 17
2-Ranking of Km Kn (cont.)
From this argument, we can say
Theorem
If n ≥ m, then χ2(Km Kn) ≥ nHm, where Hm = 1 + 1
2 + 1
3 + · · · + 1
m .
In fact, if n is a multiple of m!, then equality holds.
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 11 / 17
2-Ranking of Km Kn (cont.)
For small values of n, χ2(Kn Kn) has been found, such as the following:
K2 K2 :
0 1
2 0
K3 K3 :
3 1 0
1 4 2
0 2 5
Through block matrix operations, using 2-ranking for Kn Kn we can find
a 2-ranking for K2n K2n.
K6 K6 :
3 1 0 9 7 6
1 4 2 7 10 8
0 2 5 6 8 11
15 13 12 3 1 0
13 16 14 1 4 2
12 14 17 0 2 5
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 12 / 17
2-Ranking of Km Kn (cont.)
This construction yields the following result:
Theorem
χ2(Kmn Kmn) ≤ χ2(Km Km) · χ2(Kn Kn)
By recursively finding constructions for powers of two, we find the
following:
Theorem
If n is a power of 2, then χ2(Kn Kn) ≤ nlog2(3) ≈ n1.585.
This is the best upper bound we have been able to find so far.
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 13 / 17
2-Ranking of Subcubic Graphs
Definition
A subcubic graph is a graph where each vertex has at most 3 neighbors.
Theorem
If G is subcubic, then χ2(G) ≤ 7
Lemma
For a subcubic graph G with maximal independent vertex set S, if
G2 − S = K7, then χ2(G) ≤ 7
Proof: color members of S with a buffer character 0, and then we find that
∆(G2 − S) ≤ 6 since each vertex in G − S must be adjacent to a vertex in
S. Then by Brooks’s theorem χ(G2 − S) ≤ 6 unless G2 − S contains K7.
Through case analysis, we find that the only graphs that have this
property are the Heawood graph and the Petersen graph, each of which
has a 2-ranking with 5 ranks.
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 14 / 17
2-Ranking of Subcubic Graphs
Theorem (Chen, Raspaud, and Wang [2011])
χS (G) ≤ 6 for all 3-regular graphs
Conjecture
χ2(G) ≤ 6 for all subcubic graphs
In addition, we have only been able to find one graph
which requires 6 colors; all other examples we have
found require at most 5 colors.
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 15 / 17
Further Results: Probabilistic Bound
Recall
χ2(G) ≤ χ(G2) ≤ ∆(G)2 + 1
Theorem
There exists a graph G with ∆(G) ≤ k and χ2(G) = Ω k2
log(k)
Proof:
Construct a random graph G(n, p) choosing n and p so that with
positive probability ∆(G) ≤ 2np and χ2(G) ≥ n
2
For each function f : V (G) → [n/2], let Af be the bad event that f is
a 2-ranking.
We have that P(χ2(G) ≤ n
2 ) = P( f Af ) < f P(Af )
So if P(Af ) < 1
(n/2)n we have that P(χ2(G) ≤ n
2 ) < 1 which is what
we want.
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 16 / 17
Further Results: Probabilistic Bound (cont.)
For f : V (G) → [n/2] we find at least n/4 same-color pairs
u
vw
For pairs S and T the probability that f fails to be a 2-ranking
between them is at least p2
So we have that P(Af ) ≤ (1 − p2)(n/4
2 )
Solving (1 − p2)(n/4
2 ) < 1
(n/2)n we get p > c log n
n
1/2
With ∆(G) ≤ 2np = k we compute χ2(G) > n/2 = c k2
log k for some
positive constant c
Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 17 / 17

More Related Content

What's hot

Unit26 shortest pathalgorithm
Unit26 shortest pathalgorithmUnit26 shortest pathalgorithm
Unit26 shortest pathalgorithmmeisamstar
 
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)MeetupDataScienceRoma
 
SUPER MAGIC CORONATIONS OF GRAPHS
SUPER MAGIC CORONATIONS OF GRAPHS SUPER MAGIC CORONATIONS OF GRAPHS
SUPER MAGIC CORONATIONS OF GRAPHS IAEME Publication
 
Iterative Compression
Iterative CompressionIterative Compression
Iterative CompressionASPAK2014
 
Paths and Polynomials
Paths and PolynomialsPaths and Polynomials
Paths and PolynomialsASPAK2014
 
Important Cuts and (p,q)-clustering
Important Cuts and (p,q)-clusteringImportant Cuts and (p,q)-clustering
Important Cuts and (p,q)-clusteringASPAK2014
 
Numerical Evidence for Darmon Points
Numerical Evidence for Darmon PointsNumerical Evidence for Darmon Points
Numerical Evidence for Darmon Pointsmmasdeu
 
Secure Domination in graphs
Secure Domination in graphsSecure Domination in graphs
Secure Domination in graphsMahesh Gadhwal
 
GCD of n Numbers
GCD of n NumbersGCD of n Numbers
GCD of n NumbersSaikat Roy
 
Greatest Common Measure: the Last 2500 Years
Greatest Common Measure: the Last 2500 YearsGreatest Common Measure: the Last 2500 Years
Greatest Common Measure: the Last 2500 Yearssixtyone
 
minimum spanning trees Algorithm
minimum spanning trees Algorithm minimum spanning trees Algorithm
minimum spanning trees Algorithm sachin varun
 
Cahit 8-equitability of coronas cn○k1
Cahit 8-equitability of coronas cn○k1Cahit 8-equitability of coronas cn○k1
Cahit 8-equitability of coronas cn○k1eSAT Publishing House
 
Total Dominating Color Transversal Number of Graphs And Graph Operations
Total Dominating Color Transversal Number of Graphs And Graph OperationsTotal Dominating Color Transversal Number of Graphs And Graph Operations
Total Dominating Color Transversal Number of Graphs And Graph Operationsinventionjournals
 
Algorithm Design and Complexity - Course 9
Algorithm Design and Complexity - Course 9Algorithm Design and Complexity - Course 9
Algorithm Design and Complexity - Course 9Traian Rebedea
 
On the equality of the grundy numbers of a graph
On the equality of the grundy numbers of a graphOn the equality of the grundy numbers of a graph
On the equality of the grundy numbers of a graphijngnjournal
 

What's hot (20)

Unit26 shortest pathalgorithm
Unit26 shortest pathalgorithmUnit26 shortest pathalgorithm
Unit26 shortest pathalgorithm
 
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
Quantum Machine Learning and QEM for Gaussian mixture models (Alessandro Luongo)
 
SUPER MAGIC CORONATIONS OF GRAPHS
SUPER MAGIC CORONATIONS OF GRAPHS SUPER MAGIC CORONATIONS OF GRAPHS
SUPER MAGIC CORONATIONS OF GRAPHS
 
Shortest Path Problem
Shortest Path ProblemShortest Path Problem
Shortest Path Problem
 
Minimum spanning tree
Minimum spanning treeMinimum spanning tree
Minimum spanning tree
 
Iterative Compression
Iterative CompressionIterative Compression
Iterative Compression
 
Paths and Polynomials
Paths and PolynomialsPaths and Polynomials
Paths and Polynomials
 
Important Cuts and (p,q)-clustering
Important Cuts and (p,q)-clusteringImportant Cuts and (p,q)-clustering
Important Cuts and (p,q)-clustering
 
Numerical Evidence for Darmon Points
Numerical Evidence for Darmon PointsNumerical Evidence for Darmon Points
Numerical Evidence for Darmon Points
 
Prim algorithm
Prim algorithmPrim algorithm
Prim algorithm
 
Secure Domination in graphs
Secure Domination in graphsSecure Domination in graphs
Secure Domination in graphs
 
GCD of n Numbers
GCD of n NumbersGCD of n Numbers
GCD of n Numbers
 
Greatest Common Measure: the Last 2500 Years
Greatest Common Measure: the Last 2500 YearsGreatest Common Measure: the Last 2500 Years
Greatest Common Measure: the Last 2500 Years
 
minimum spanning trees Algorithm
minimum spanning trees Algorithm minimum spanning trees Algorithm
minimum spanning trees Algorithm
 
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
Program on Quasi-Monte Carlo and High-Dimensional Sampling Methods for Applie...
 
1452 86301000013 m
1452 86301000013 m1452 86301000013 m
1452 86301000013 m
 
Cahit 8-equitability of coronas cn○k1
Cahit 8-equitability of coronas cn○k1Cahit 8-equitability of coronas cn○k1
Cahit 8-equitability of coronas cn○k1
 
Total Dominating Color Transversal Number of Graphs And Graph Operations
Total Dominating Color Transversal Number of Graphs And Graph OperationsTotal Dominating Color Transversal Number of Graphs And Graph Operations
Total Dominating Color Transversal Number of Graphs And Graph Operations
 
Algorithm Design and Complexity - Course 9
Algorithm Design and Complexity - Course 9Algorithm Design and Complexity - Course 9
Algorithm Design and Complexity - Course 9
 
On the equality of the grundy numbers of a graph
On the equality of the grundy numbers of a graphOn the equality of the grundy numbers of a graph
On the equality of the grundy numbers of a graph
 

Viewers also liked

Dna to chromosomes
Dna to chromosomesDna to chromosomes
Dna to chromosomesvjcummins
 
Замещение вынужденной генерации
Замещение вынужденной генерацииЗамещение вынужденной генерации
Замещение вынужденной генерацииEnergyland.info
 
Are You Treating Your Emails As Shed or Mansions?
Are You Treating Your Emails As Shed or Mansions?Are You Treating Your Emails As Shed or Mansions?
Are You Treating Your Emails As Shed or Mansions?DVFX
 
3 Easy Steps To Great Investment Ideas (for real!)
3 Easy Steps To Great Investment Ideas (for real!)3 Easy Steps To Great Investment Ideas (for real!)
3 Easy Steps To Great Investment Ideas (for real!)Financials Analyst
 
Thesis_DinaElFilali_ApplicabilatyOfFractalGeometryToCharacterizeGullyFormatio...
Thesis_DinaElFilali_ApplicabilatyOfFractalGeometryToCharacterizeGullyFormatio...Thesis_DinaElFilali_ApplicabilatyOfFractalGeometryToCharacterizeGullyFormatio...
Thesis_DinaElFilali_ApplicabilatyOfFractalGeometryToCharacterizeGullyFormatio...Dina El Filali
 
Possible distributors
Possible distributorsPossible distributors
Possible distributorsChrisOsbyrne
 
Tet insights
Tet insightsTet insights
Tet insightsOhay TV
 
Presentación derecho tributario SAIA I
Presentación derecho tributario SAIA IPresentación derecho tributario SAIA I
Presentación derecho tributario SAIA Ienrymarcueri
 
Hooray Credentials (Pitch Deck)
Hooray Credentials (Pitch Deck)Hooray Credentials (Pitch Deck)
Hooray Credentials (Pitch Deck)Ryan Stoner
 

Viewers also liked (13)

Dna to chromosomes
Dna to chromosomesDna to chromosomes
Dna to chromosomes
 
Замещение вынужденной генерации
Замещение вынужденной генерацииЗамещение вынужденной генерации
Замещение вынужденной генерации
 
Are You Treating Your Emails As Shed or Mansions?
Are You Treating Your Emails As Shed or Mansions?Are You Treating Your Emails As Shed or Mansions?
Are You Treating Your Emails As Shed or Mansions?
 
3 Easy Steps To Great Investment Ideas (for real!)
3 Easy Steps To Great Investment Ideas (for real!)3 Easy Steps To Great Investment Ideas (for real!)
3 Easy Steps To Great Investment Ideas (for real!)
 
Szkolenie rajdowe - etap 2
Szkolenie rajdowe - etap 2Szkolenie rajdowe - etap 2
Szkolenie rajdowe - etap 2
 
Neri - CV 2014
Neri - CV 2014Neri - CV 2014
Neri - CV 2014
 
Abc
AbcAbc
Abc
 
Thesis_DinaElFilali_ApplicabilatyOfFractalGeometryToCharacterizeGullyFormatio...
Thesis_DinaElFilali_ApplicabilatyOfFractalGeometryToCharacterizeGullyFormatio...Thesis_DinaElFilali_ApplicabilatyOfFractalGeometryToCharacterizeGullyFormatio...
Thesis_DinaElFilali_ApplicabilatyOfFractalGeometryToCharacterizeGullyFormatio...
 
Possible distributors
Possible distributorsPossible distributors
Possible distributors
 
LAS CONTRIBUCIONES
LAS CONTRIBUCIONESLAS CONTRIBUCIONES
LAS CONTRIBUCIONES
 
Tet insights
Tet insightsTet insights
Tet insights
 
Presentación derecho tributario SAIA I
Presentación derecho tributario SAIA IPresentación derecho tributario SAIA I
Presentación derecho tributario SAIA I
 
Hooray Credentials (Pitch Deck)
Hooray Credentials (Pitch Deck)Hooray Credentials (Pitch Deck)
Hooray Credentials (Pitch Deck)
 

Similar to 2-rankings of Graphs (20)

Kumegawa russia
Kumegawa russiaKumegawa russia
Kumegawa russia
 
X4102188192
X4102188192X4102188192
X4102188192
 
balakrishnan2004
balakrishnan2004balakrishnan2004
balakrishnan2004
 
Muchtadi
MuchtadiMuchtadi
Muchtadi
 
parameterized complexity for graph Motif
parameterized complexity for graph Motifparameterized complexity for graph Motif
parameterized complexity for graph Motif
 
New Classes of Odd Graceful Graphs - M. E. Abdel-Aal
New Classes of Odd Graceful Graphs - M. E. Abdel-AalNew Classes of Odd Graceful Graphs - M. E. Abdel-Aal
New Classes of Odd Graceful Graphs - M. E. Abdel-Aal
 
Treewidth and Applications
Treewidth and ApplicationsTreewidth and Applications
Treewidth and Applications
 
Number theoretic-rsa-chailos-new
Number theoretic-rsa-chailos-newNumber theoretic-rsa-chailos-new
Number theoretic-rsa-chailos-new
 
Igv2008
Igv2008Igv2008
Igv2008
 
64 66
64 6664 66
64 66
 
Network Theory
Network TheoryNetwork Theory
Network Theory
 
New Classes of Odd Graceful Graphs
New Classes of Odd Graceful GraphsNew Classes of Odd Graceful Graphs
New Classes of Odd Graceful Graphs
 
Abir project
Abir projectAbir project
Abir project
 
Chris Sherlock's slides
Chris Sherlock's slidesChris Sherlock's slides
Chris Sherlock's slides
 
module4_dynamic programming_2022.pdf
module4_dynamic programming_2022.pdfmodule4_dynamic programming_2022.pdf
module4_dynamic programming_2022.pdf
 
Asymtotic Appoach.ppt
Asymtotic Appoach.pptAsymtotic Appoach.ppt
Asymtotic Appoach.ppt
 
Some New Prime Graphs
Some New Prime GraphsSome New Prime Graphs
Some New Prime Graphs
 
Stochastic Processes Homework Help
Stochastic Processes Homework HelpStochastic Processes Homework Help
Stochastic Processes Homework Help
 
02-asymp.ppt
02-asymp.ppt02-asymp.ppt
02-asymp.ppt
 
On the Equality of the Grundy Numbers of a Graph
On the Equality of the Grundy Numbers of a GraphOn the Equality of the Grundy Numbers of a Graph
On the Equality of the Grundy Numbers of a Graph
 

Recently uploaded

THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxNandakishor Bhaurao Deshmukh
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxBREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxPABOLU TEJASREE
 
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxRESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxFarihaAbdulRasheed
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxmalonesandreagweneth
 
OECD bibliometric indicators: Selected highlights, April 2024
OECD bibliometric indicators: Selected highlights, April 2024OECD bibliometric indicators: Selected highlights, April 2024
OECD bibliometric indicators: Selected highlights, April 2024innovationoecd
 
The dark energy paradox leads to a new structure of spacetime.pptx
The dark energy paradox leads to a new structure of spacetime.pptxThe dark energy paradox leads to a new structure of spacetime.pptx
The dark energy paradox leads to a new structure of spacetime.pptxEran Akiva Sinbar
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)DHURKADEVIBASKAR
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PPRINCE C P
 
zoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzohaibmir069
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfSwapnil Therkar
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)riyaescorts54
 
FREE NURSING BUNDLE FOR NURSES.PDF by na
FREE NURSING BUNDLE FOR NURSES.PDF by naFREE NURSING BUNDLE FOR NURSES.PDF by na
FREE NURSING BUNDLE FOR NURSES.PDF by naJASISJULIANOELYNV
 
Solution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsSolution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsHajira Mahmood
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensorsonawaneprad
 
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfBUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfWildaNurAmalia2
 
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPirithiRaju
 

Recently uploaded (20)

THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
Hot Sexy call girls in Moti Nagar,🔝 9953056974 🔝 escort Service
Hot Sexy call girls in  Moti Nagar,🔝 9953056974 🔝 escort ServiceHot Sexy call girls in  Moti Nagar,🔝 9953056974 🔝 escort Service
Hot Sexy call girls in Moti Nagar,🔝 9953056974 🔝 escort Service
 
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxBREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
 
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxRESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
 
OECD bibliometric indicators: Selected highlights, April 2024
OECD bibliometric indicators: Selected highlights, April 2024OECD bibliometric indicators: Selected highlights, April 2024
OECD bibliometric indicators: Selected highlights, April 2024
 
The dark energy paradox leads to a new structure of spacetime.pptx
The dark energy paradox leads to a new structure of spacetime.pptxThe dark energy paradox leads to a new structure of spacetime.pptx
The dark energy paradox leads to a new structure of spacetime.pptx
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C P
 
zoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistan
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
 
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Munirka Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
 
FREE NURSING BUNDLE FOR NURSES.PDF by na
FREE NURSING BUNDLE FOR NURSES.PDF by naFREE NURSING BUNDLE FOR NURSES.PDF by na
FREE NURSING BUNDLE FOR NURSES.PDF by na
 
Solution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsSolution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutions
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensor
 
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfBUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
 
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
 

2-rankings of Graphs

  • 1. 2-rankings of Graphs Jordan Almeter, Samet Demircan, Andrew Kallmeyer September 25, 2015 Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 1 / 17
  • 2. Definitions Definition A ranking of a graph G is a proper coloring c : V (G) → [t] such that ∀u, v ∈ V (G) if P is a nontrivial uv-path with c(u) = c(v), then P contains some vertex w where c(w) > c(u). Definition A k-ranking of a graph G is a proper coloring c : V (G) → [t] such that ∀u, v ∈ V (G) if P is a nontrivial uv-path of length at most k with c(u) = c(v), then P contains some vertex w where c(w) > c(u). Definition The k-ranking-number of a graph G, denoted χk(G), is the minimum t such that G has a k-ranking c : V (G) → [t]. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 2 / 17
  • 3. 2-ranking examples 1 2 2 2 1 1 1 3 2 good good bad Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 3 / 17
  • 4. Background Definition A star coloring is a proper coloring of a graph G such that every path on four vertices is colored with at least 3 colors. The star coloring number of a graph is written as χS (G). Definition If G is a graph then G2 is the graph obtained from G by adding an edge between every pair of vertices at distance two. Observation χ(G) ≤ χS (G) ≤ χ2(G) ≤ χ(G2) Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 4 / 17
  • 5. Findings 2-Ranking of the Hypercube Qn Applications related to Toroidal grids 2-Ranking of Cartesian products of complete graphs, Km Kn 2-Ranking of Subcubic Graphs A probabilistic construction Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 5 / 17
  • 6. 2-Ranking of the Hypercube Definition G is a d-degenerate graph if every subgraph contains a vertex of degree at most d Lemma Let G be a d-degenerate graph, then χ2(G) ≥ d + 1 Proof. G must have a subgraph H with minimum degree d. Let v ∈ V (H) be a vertex with the lowest rank used in H. Then, the neighbors of v must have distinct colors and v has at least d neighbors, so χ2(H) ≥ d + 1. Thus, χ2(G) ≥ d + 1. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 6 / 17
  • 7. 2-Ranking of the Hypercube (cont.) Theorem For all hypercubes Qn on n dimensions, χ2(Qn) = n + 1 We prove this by construction. Since Qn is n-degenerate, by the previous lemma we have χ2(Qn) ≥ n + 1. For all k if n = 2k − 1 then there is a coloring of Q2 n using n + 1 colors based on error correcting codes given by Ngo et al. (2002). We extend this coloring to obtain 2-rankings for all Qn by adding small-valued ”buffer” colors to this distance two coloring so that the only paths of length two where the endpoints have the same rank are ones with buffer colors at the endpoints. An inductive coloring ensures that interactions between buffer characters are valid. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 7 / 17
  • 8. 2-Ranking of the Hypercube (cont.) Each vertex x of a n-dimensional unit cube can be represented as a binary bit string of length n which our coloring is based on. Specifically our coloring of Qn, where n = 2k + t, is the following: cn(x) = ct([x1, . . . , xt]) if xt+1 + · · · + xn ≡ 0 mod 2 Ax + t otherwise Where A is an augmented matrix with n columns and k rows. Within the first t columns we make all columns distinct and include no zero column. The rightmost 2k columns are all of the distinct binary vectors of length k. For example a valid matrix for Q6 is: A = 1 0 1 0 1 0 0 1 0 1 1 0 Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 8 / 17
  • 9. 2-Ranking of the toroidal grid Definition A d-dimensional toroidal grid is the cartesian product of d cycles. Corollary (Hypercubes) If G = Cn1 Cn2 · · · Cnd and 4 divides each ni , then χs(G) ≤ χ2(G) = 2d + 1 Theorem (Fertin, Raspaud, Reed) If G = Cn1 Cn2 · · · Cnd , then d + 2 ≤ χs(G) ≤ 2d + 1 when 2d + 1 divides each ni 2d2 + d + 1 otherwise Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 9 / 17
  • 10. 2-Ranking of Km Kn This graph can be modeled as an m × n grid where vertices are adjacent if they share a row or column. We may assume m ≤ n. Lemma In a 2-ranking of Km Kn, for all k ≤ m each column of height m must contain k labels which appear k or fewer times in the graph. Proof. If the highest rank in a column appears more than once in the grid, we have a high-low-high path; if the second highest rank appears more than twice in the grid, we have a bad path; and so on. This puts a limit on how many times a label can appear in a grid. For an m × n grid, a ranking in which n labels appear only once, n/2 labels appear only twice, n/3 labels appear only three times, and so on, is optimal. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 10 / 17
  • 11. 2-Ranking of Km Kn (cont.) From this argument, we can say Theorem If n ≥ m, then χ2(Km Kn) ≥ nHm, where Hm = 1 + 1 2 + 1 3 + · · · + 1 m . In fact, if n is a multiple of m!, then equality holds. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 11 / 17
  • 12. 2-Ranking of Km Kn (cont.) For small values of n, χ2(Kn Kn) has been found, such as the following: K2 K2 : 0 1 2 0 K3 K3 : 3 1 0 1 4 2 0 2 5 Through block matrix operations, using 2-ranking for Kn Kn we can find a 2-ranking for K2n K2n. K6 K6 : 3 1 0 9 7 6 1 4 2 7 10 8 0 2 5 6 8 11 15 13 12 3 1 0 13 16 14 1 4 2 12 14 17 0 2 5 Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 12 / 17
  • 13. 2-Ranking of Km Kn (cont.) This construction yields the following result: Theorem χ2(Kmn Kmn) ≤ χ2(Km Km) · χ2(Kn Kn) By recursively finding constructions for powers of two, we find the following: Theorem If n is a power of 2, then χ2(Kn Kn) ≤ nlog2(3) ≈ n1.585. This is the best upper bound we have been able to find so far. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 13 / 17
  • 14. 2-Ranking of Subcubic Graphs Definition A subcubic graph is a graph where each vertex has at most 3 neighbors. Theorem If G is subcubic, then χ2(G) ≤ 7 Lemma For a subcubic graph G with maximal independent vertex set S, if G2 − S = K7, then χ2(G) ≤ 7 Proof: color members of S with a buffer character 0, and then we find that ∆(G2 − S) ≤ 6 since each vertex in G − S must be adjacent to a vertex in S. Then by Brooks’s theorem χ(G2 − S) ≤ 6 unless G2 − S contains K7. Through case analysis, we find that the only graphs that have this property are the Heawood graph and the Petersen graph, each of which has a 2-ranking with 5 ranks. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 14 / 17
  • 15. 2-Ranking of Subcubic Graphs Theorem (Chen, Raspaud, and Wang [2011]) χS (G) ≤ 6 for all 3-regular graphs Conjecture χ2(G) ≤ 6 for all subcubic graphs In addition, we have only been able to find one graph which requires 6 colors; all other examples we have found require at most 5 colors. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 15 / 17
  • 16. Further Results: Probabilistic Bound Recall χ2(G) ≤ χ(G2) ≤ ∆(G)2 + 1 Theorem There exists a graph G with ∆(G) ≤ k and χ2(G) = Ω k2 log(k) Proof: Construct a random graph G(n, p) choosing n and p so that with positive probability ∆(G) ≤ 2np and χ2(G) ≥ n 2 For each function f : V (G) → [n/2], let Af be the bad event that f is a 2-ranking. We have that P(χ2(G) ≤ n 2 ) = P( f Af ) < f P(Af ) So if P(Af ) < 1 (n/2)n we have that P(χ2(G) ≤ n 2 ) < 1 which is what we want. Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 16 / 17
  • 17. Further Results: Probabilistic Bound (cont.) For f : V (G) → [n/2] we find at least n/4 same-color pairs u vw For pairs S and T the probability that f fails to be a 2-ranking between them is at least p2 So we have that P(Af ) ≤ (1 − p2)(n/4 2 ) Solving (1 − p2)(n/4 2 ) < 1 (n/2)n we get p > c log n n 1/2 With ∆(G) ≤ 2np = k we compute χ2(G) > n/2 = c k2 log k for some positive constant c Jordan Almeter, Samet Demircan, Andrew Kallmeyer 2-rankings of Graphs September 25, 2015 17 / 17