From Wikipedia, the free encyclopedia
Lollipop graph
A (8,4)-lollipop graph
Vertices
Edges
Girth
Properties connected
Notation
Table of graphs and parameters

In the mathematical discipline of graph theory, the (m,n)-lollipop graph is a special type of graph consisting of a complete graph (clique) on m vertices and a path graph on n vertices, connected with a bridge. [1]

The special case of the (2n/3,n/3)-lollipop graphs are known as graphs which achieve the maximum possible hitting time, [2] cover time [3] and commute time. [4]

See also

References

  1. ^ Weisstein, Eric. "Lollipop Graph". Wolfram Mathworld. Wolfram MathWorld. Retrieved 19 August 2015.
  2. ^ Brightwell, Graham; Winkler, Peter (September 1990). "Maximum hitting time for random walks on graphs". Random Structures & Algorithms. 1 (3): 263–276. doi: 10.1002/rsa.3240010303.
  3. ^ Feige, Uriel (August 1995). "A tight upper bound on the cover time for random walks on graphs". Random Structures & Algorithms. 6: 51–54. CiteSeerX  10.1.1.38.1188. doi: 10.1002/rsa.3240060106.
  4. ^ Jonasson, Johan (March 2000). "Lollipop graphs are extremal for commute times". Random Structures and Algorithms. 16 (2): 131–142. doi: 10.1002/(SICI)1098-2418(200003)16:2<131::AID-RSA1>3.0.CO;2-3.


From Wikipedia, the free encyclopedia
Lollipop graph
A (8,4)-lollipop graph
Vertices
Edges
Girth
Properties connected
Notation
Table of graphs and parameters

In the mathematical discipline of graph theory, the (m,n)-lollipop graph is a special type of graph consisting of a complete graph (clique) on m vertices and a path graph on n vertices, connected with a bridge. [1]

The special case of the (2n/3,n/3)-lollipop graphs are known as graphs which achieve the maximum possible hitting time, [2] cover time [3] and commute time. [4]

See also

References

  1. ^ Weisstein, Eric. "Lollipop Graph". Wolfram Mathworld. Wolfram MathWorld. Retrieved 19 August 2015.
  2. ^ Brightwell, Graham; Winkler, Peter (September 1990). "Maximum hitting time for random walks on graphs". Random Structures & Algorithms. 1 (3): 263–276. doi: 10.1002/rsa.3240010303.
  3. ^ Feige, Uriel (August 1995). "A tight upper bound on the cover time for random walks on graphs". Random Structures & Algorithms. 6: 51–54. CiteSeerX  10.1.1.38.1188. doi: 10.1002/rsa.3240060106.
  4. ^ Jonasson, Johan (March 2000). "Lollipop graphs are extremal for commute times". Random Structures and Algorithms. 16 (2): 131–142. doi: 10.1002/(SICI)1098-2418(200003)16:2<131::AID-RSA1>3.0.CO;2-3.



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