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An inequality between the edge-Wiener index and the Wiener index of - PowerPoint PPT Presentation

Introduction Lower bound Upper bound Ratio An inequality between the edge-Wiener index and the Wiener index of a graph A. Tepeh joint work with M. Knor and R. Skrekovski Introduction Lower bound Upper bound Ratio Topological indices


  1. Introduction Lower bound Upper bound Ratio An inequality between the edge-Wiener index and the Wiener index of a graph A. Tepeh joint work with M. Knor and R. ˇ Skrekovski

  2. Introduction Lower bound Upper bound Ratio Topological indices • derived from molecular graphs • numerical values

  3. Introduction Lower bound Upper bound Ratio The Wiener index, defined as the sum of distances between all unordered pairs of vertices in a graph, is one of the most popular molecular descriptors.

  4. Introduction Lower bound Upper bound Ratio The Wiener index, defined as the sum of distances between all unordered pairs of vertices in a graph, is one of the most popular molecular descriptors. • introduced by H. Wiener, 1947 • boiling point of paraffines is in strong correlation with the graph structure of their molecules • applications in chemistry, communication, facility location, cryptology, architecture,...

  5. Introduction Lower bound Upper bound Ratio The Wiener index, defined as the sum of distances between all unordered pairs of vertices in a graph, is one of the most popular molecular descriptors. • introduced by H. Wiener, 1947 • boiling point of paraffines is in strong correlation with the graph structure of their molecules • applications in chemistry, communication, facility location, cryptology, architecture,... Our goal was to • compare Wiener index with the edge-Wiener index (to improve known results) • improve the upper bound for the edge-Wiener index • explore the ratio between both indices (find extremal graphs)

  6. Introduction Lower bound Upper bound Ratio Basic definitions Let L ( G ) denote the line graph of G : V ( L ( G )) = E ( G ) and two distinct edges e , f ∈ E ( G ) adjacent in L ( G ) whenever they share an end-vertex in G G L(G) b a b a e c e c d d

  7. Introduction Lower bound Upper bound Ratio Basic definitions • distance between vertices : d G ( u , v ) denotes the distance (=the length of a shortest path) between vertices u , v ∈ V ( G ) • distance between edges : d G ( e , f ) = d L ( G ) ( e , f ), � e = u 1 u 2 , f = v 1 v 2 if e � = f , then d ( e , f ) = min { d ( u i , v j ) : i , j ∈ { 1 , 2 }} + 1, if e = f , d ( e , f ) = 0 G L(G) b a b y a d(x,y)=3 e c d(e,b)=2 e c d(a,b)=1 x d d

  8. Introduction Lower bound Upper bound Ratio Wiener index � W ( G ) = d ( u , v ) { u , v }⊆ V ( G ) edge-Wiener index � W e ( G ) = d ( e , f ) { e , f }⊆ E ( G ) • W e ( G ) = W ( L ( G )) • sometimes in the literature slightly different definition: � n � W e ( G ) + 2

  9. Introduction Lower bound Upper bound Ratio • deg ( u ) = the degree of u ∈ V ( G ) • δ ( G ) = min { deg ( v ) : v ∈ V ( G ) } Gutman index � Gut ( G ) = deg ( u ) deg ( v ) d ( u , v ) { u , v }⊆ V ( G )

  10. Introduction Lower bound Upper bound Ratio some known results Wu, 2010 • Let G be a connected graph of order n with δ ( G ) ≥ 2. Then W e ( G ) ≥ W ( G ) with equality if and only if G ∼ = C n .

  11. Introduction Lower bound Upper bound Ratio some known results Wu, 2010 • Let G be a connected graph of order n with δ ( G ) ≥ 2. Then W e ( G ) ≥ W ( G ) with equality if and only if G ∼ = C n . • Let G be a connected graph of size m . Then 1 4( Gut ( G ) − m ) ≤ W e ( G ) ≤ 1 � m � 4( Gut ( G ) − m ) + . 2

  12. Introduction Lower bound Upper bound Ratio • κ m ( G ) = the number of m -cliques in G cnik and ˇ Knor, Potoˇ Skrekovski, 2014 • Let G be a connected graph. Then W e ( G ) ≥ 1 4 Gut ( G ) − 1 4 | E ( G ) | + 3 4 κ 3 ( G ) + 3 κ 4 ( G ) (1) with equality in (1) if and only if G is a tree or a complete graph.

  13. Introduction Lower bound Upper bound Ratio • κ m ( G ) = the number of m -cliques in G cnik and ˇ Knor, Potoˇ Skrekovski, 2014 • Let G be a connected graph. Then W e ( G ) ≥ 1 4 Gut ( G ) − 1 4 | E ( G ) | + 3 4 κ 3 ( G ) + 3 κ 4 ( G ) (1) with equality in (1) if and only if G is a tree or a complete graph. • Let G be a connected graph of minimal degree δ ≥ 2. Then W ( L ( G )) ≥ δ 2 − 1 W ( G ) . 4 • conjecture: W ( L ( G )) ≥ δ 2 4 W ( G )

  14. Introduction Lower bound Upper bound Ratio main theorem Theorem Let G be a connected graph of minimum degree δ . Then, W e ( G ) ≥ δ 2 4 W ( G ) with equality holding if and only if G is isomorphic to a path on three vertices or a cycle.

  15. Introduction Lower bound Upper bound Ratio For the proof we need... average distance of endpoints of edges e = u 1 u 2 and f = v 1 v 2 s ( u 1 u 2 , v 1 v 2 ) = 1 � � d ( u 1 , v 1 ) + d ( u 1 , v 2 ) + d ( u 2 , v 1 ) + d ( u 2 , v 2 ) 4

  16. Introduction Lower bound Upper bound Ratio For the proof we need... average distance of endpoints of edges e = u 1 u 2 and f = v 1 v 2 s ( u 1 u 2 , v 1 v 2 ) = 1 � � d ( u 1 , v 1 ) + d ( u 1 , v 2 ) + d ( u 2 , v 1 ) + d ( u 2 , v 2 ) 4 Lemma Let G be a connected graph. Then s ( e , f ) = 1 � � � Gut ( G ) − | E ( G ) | . 4 { e , f }⊆ E ( G )

  17. Introduction Lower bound Upper bound Ratio Lemma (Knor et al.,2014) Let u 1 u 2 , v 1 v 2 be a pair of edges of a connected graph G. Then d ( u 1 u 2 , v 1 v 2 ) ≥ s ( u 1 u 2 , v 1 v 2 ) + D ( u 1 u 2 , v 1 v 2 ) , (2) where − 1  if u 1 u 2 = v 1 v 2 ; 2   1 if the pair u 1 u 2 , v 1 v 2 forms a triangle ;   4 D ( u 1 u 2 , v 1 v 2 ) = 1 if the pair u 1 u 2 , v 1 v 2 forms a K 4 ;     0 otherwise. Moreover, equality holds in (2) if and only if ( i ) u 1 u 2 = v 1 v 2 , or ( ii ) the pair u 1 u 2 , v 1 v 2 forms a triangle or K 4 , or ( iii ) if u 1 u 2 and v 1 v 2 lie on a straight line.

  18. Introduction Lower bound Upper bound Ratio • e , f ∈ E ( G ) • D ( e , f ) = d ( e , f ) − s ( e , f ) • if D ( e , f ) = α , we say that e , f forms a pair of type D α or that the pair e , f belongs to the set D α • if e = f , then D ( e , f ) = − 1 2 • I = { 0 , 1 4 , 1 2 , 3 4 , 1 }

  19. Introduction Lower bound Upper bound Ratio • e , f ∈ E ( G ) • D ( e , f ) = d ( e , f ) − s ( e , f ) • if D ( e , f ) = α , we say that e , f forms a pair of type D α or that the pair e , f belongs to the set D α • if e = f , then D ( e , f ) = − 1 2 • I = { 0 , 1 4 , 1 2 , 3 4 , 1 } Lemma In a connected graph, every pair of distinct edges belongs to D α for some α ∈ I .

  20. Introduction Lower bound Upper bound Ratio All types of pairs of two edges D D 3 D 1 1 4 4 u 1 k k k v 1 k k k k k+1 k+1 u 2 v 2 k k+1 k+1 D D ' D '' 1 1 0 2 2 k k k k k+1 k+1 k+1 k+1 k+1 k+1 k k+1 k+2 k k+1

  21. Introduction Lower bound Upper bound Ratio � W e ( G ) = d ( e , f ) { e , f }⊆ E ( G ) � � = s ( e , f ) + D ( e , f ) { e , f }⊆ E ( G ) { e , f }⊆ E ( G )

  22. Introduction Lower bound Upper bound Ratio � W e ( G ) = d ( e , f ) { e , f }⊆ E ( G ) � � = s ( e , f ) + D ( e , f ) { e , f }⊆ E ( G ) { e , f }⊆ E ( G ) Gut ( G ) − | E ( G ) | � = + D ( e , f ) 4 4 { e , f }⊆ E ( G )

  23. Introduction Lower bound Upper bound Ratio � W e ( G ) = d ( e , f ) { e , f }⊆ E ( G ) � � = s ( e , f ) + D ( e , f ) { e , f }⊆ E ( G ) { e , f }⊆ E ( G ) Gut ( G ) − | E ( G ) | � = + D ( e , f ) 4 4 { e , f }⊆ E ( G ) Proposition Let G be a connected graph. Then W e ( G ) = Gut ( G ) − | E ( G ) | + | D 1 | + 1 4 | + 1 2 | + 3 4 | D 1 2 | D 1 4 | D 3 4 | . 4 4

  24. Introduction Lower bound Upper bound Ratio Case 1: G is non-regular G has a vertex w ∈ V ( G ) of degree at least δ + 1. By previous proposition: 4 W e ( G ) = Gut ( G ) − | E ( G ) | + 4 | D 1 | + | D 1 4 | + 2 | D 1 2 | + 3 | D 3 4 | ≥ Gut ( G ) − | E ( G ) |

  25. Introduction Lower bound Upper bound Ratio Case 1: G is non-regular G has a vertex w ∈ V ( G ) of degree at least δ + 1. By previous proposition: 4 W e ( G ) = Gut ( G ) − | E ( G ) | + 4 | D 1 | + | D 1 4 | + 2 | D 1 2 | + 3 | D 3 4 | ≥ Gut ( G ) − | E ( G ) | � = deg ( u ) deg ( v ) d ( u , v ) − | E ( G ) | { u , v }⊆ V ( G )

  26. Introduction Lower bound Upper bound Ratio Case 1: G is non-regular G has a vertex w ∈ V ( G ) of degree at least δ + 1. By previous proposition: 4 W e ( G ) = Gut ( G ) − | E ( G ) | + 4 | D 1 | + | D 1 4 | + 2 | D 1 2 | + 3 | D 3 4 | ≥ Gut ( G ) − | E ( G ) | � = deg ( u ) deg ( v ) d ( u , v ) − | E ( G ) | { u , v }⊆ V ( G ) δ 2 � ≥ d ( u , v )+ { u , v }∈ V ( G ) \{ w } � deg ( u ) d ( u , w ) − | E ( G ) | ( δ + 1) u ∈ V ( G ) \{ w }

  27. Introduction Lower bound Upper bound Ratio Case 1: G is non-regular G has a vertex w ∈ V ( G ) of degree at least δ + 1. By previous proposition: 4 W e ( G ) = Gut ( G ) − | E ( G ) | + 4 | D 1 | + | D 1 4 | + 2 | D 1 2 | + 3 | D 3 4 | ≥ Gut ( G ) − | E ( G ) | � = deg ( u ) deg ( v ) d ( u , v ) − | E ( G ) | { u , v }⊆ V ( G ) δ 2 � ≥ d ( u , v )+ { u , v }∈ V ( G ) \{ w } � deg ( u ) d ( u , w ) − | E ( G ) | ( δ + 1) u ∈ V ( G ) \{ w } � δ 2 W ( G ) + ≥ deg ( u ) − | E ( G ) | u ∈ V ( G ) \{ w }

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