I have a connected, undirected graph with edges that are each either black or white, and an integer k. I'm trying to write an algorithm that tells whether or not a spanning tre开发者_开发知识库e exists with exactly k black edges (doesn't necessarily have to find the actual tree).
I used Kruskal's algorithm to find the minimum and maximum possible number of black edges in a spanning tree. If k is outside this range, no spanning tree with k edges can exist.
But I'm having trouble wrapping my mind around whether there is necessarily a spanning tree for every k within that range. My intuition says yes, and it's worked for every example I've tried, but I can't figure out how to prove it.
Any advice? Thanks in advance.
Let G_min = spanning tree with the minimum # of black edges.
Let G_max = spanning tree with the maximum # of black edges.
Let k_min = # of black edges in G_min
Let k_max = # of black edges in G_max
The proof goes as follows. Set G = G_min. Repeat for every black edge in G_max:
1) If the edge is already in G, do nothing.
2) If the edge is not in G, add it to G and remove another edge
from the cycle thus induced in G. Remove one not in G_max.
Step 2 is always possible because there is at least one edge not in G_max in every cycle.
This algorithm maintains the spanning-tree-ness of G as it goes. It adds at most one black edge per step, so G demonstrates a spanning tree with k black edges for all k between k_min and k_max as it goes.
Kruskal's will find you the minimum wight spanning tree - so inorder to find Gmin you need to do this the other way around. gmin = case all the black edged are giving the wight 1 and the white giving the wight 0. the way the algorithm first use all the white edgedes and then the black ones. this way we will get gmin.
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