Hi. I was wondering if there is any upperbound to the size of euler walk with respect to number of vertices. If yes then what will be that maximizing condition?
# | User | Rating |
---|---|---|
1 | tourist | 4009 |
2 | jiangly | 3831 |
3 | Radewoosh | 3646 |
4 | jqdai0815 | 3620 |
4 | Benq | 3620 |
6 | orzdevinwang | 3529 |
7 | ecnerwala | 3446 |
8 | Um_nik | 3396 |
9 | gamegame | 3386 |
10 | ksun48 | 3373 |
# | User | Contrib. |
---|---|---|
1 | cry | 164 |
1 | maomao90 | 164 |
3 | Um_nik | 163 |
4 | atcoder_official | 160 |
5 | -is-this-fft- | 158 |
6 | awoo | 157 |
6 | adamant | 157 |
8 | TheScrasse | 154 |
8 | nor | 154 |
10 | Dominater069 | 153 |
Hi. I was wondering if there is any upperbound to the size of euler walk with respect to number of vertices. If yes then what will be that maximizing condition?
Name |
---|
Auto comment: topic has been updated by venkycodes (previous revision, new revision, compare).
` the number of times any node will be added to the euler walk is equal to number of its children every tree + 1 for non leaf nodes and 2 times for leaves (for upper bound we can assume that number of times a node occurs in a euler walk is equal to Nc + 2 where NcI is the number of children of a node I) for each node we can safely assume that every child gives it a single contribution and it has 2 contribution from itself in its frequency in euler path
now every node will be child of exactly one node except root (neglect it for now ) and this will contribute one frequency of its parent so total N(number of nodes in tree ) will be added to the euler vector size, and for each node 2 will be added as per above analysis hence at most 2*N will be added to the euler vector so total euler vector size should not increase 3*N
hope it is correct tell me if I am wrong somewhere `
If by "euler walk" you're referring to the Eulerian path/cycle in a general graph, then the length of that is exactly the number of edges in the graph. If you're talking about the Euler tour of a tree, then the number of vertices in the tour is exactly $$$2|V|-1$$$.
can you tell me how it would be exactly 2v-1 ?
There are $$$|V|-1$$$ edges, and we traverse each of them twice. Once going down, and once going back up. So that's a total of $$$2|V|-2$$$ edge traversals. We start out with the root vertex and each time we traverse an edge we add a new vertex, so total is $$$2|V|-1$$$.