Let T be an MST of graph G. Given a connected subgraph H of G, show that TH is contained in some MST of H

Short Answer

Expert verified

Here, there will be MST base graph through it proves that T is sign with H and contained in some of MST. Which is related to H. But there will be is H connected with G. So, we can conclude or can say that T is graph of G.

Step by step solution

01

Verification for   is controlled in Smallest Spanning Tree(H):

When explore together all nodes of a graph, a minimal spanning tree travels the all edges which do not create a cycle. Together all edges of T that do not make a cycle in T are included in an MST T of a graph G. A cycle may not even exist in a G sub-graph.

02

H includes cycles

• Whenever H has a cycle, there would be a lot of MST of H. For each MST of H , an unique smallest node will be excluded. Once there is n nodes within and H and k cycles in H, there can be n-k edges in THbecause T visits all nodes in T that do not form a cycle.

• Because T has no cycle, the intersecting of H plus T will not have a cycle, omitting just those nodes of H that contribute to the creation of a cycle. As per definition of H, TH is an as it is containing all edges except the edge which is creating cycle. When THis itself an MST, then it is obvious that it is contained in itself.

Hence, it is proved that if H contains a cycle, then TH is contained in some MST of H.

03

H does not contain a cycle

• H is indeed an MST when it does not include a cycle. T is now an MST, thus, TH would then include all of H's nodes., TH=H. Whenever T & H both are equal to each other then THis also an MST.

• Whenever TH is MST, Then it would be evident that it's self-contained.

As a result, it can be demonstrated that if H does not include a cycle, then TH is contained in some MST of H.

04

Conclusion

THis H. occurs in some MST The evidence is demonstrated in the next section. Assume the graph G in Figure 1 is correct.

Figure 1

The MST of the graph will be as shown in Figure 2.

Figure 2

Figure 3 is a subgraph H of graph G .

Figure 3

The MST of this graph will be as shown in Figure 4.

Figure 4

THT with H's shared edges will be contained. Figure 4 is role="math" localid="1658914214466" TH. Thus, TH=MSTH.If somehow the weight for ED in Figure 1 was 6, then the weight of ED in Figure 2 would be 6. But there would have been two MST of H, one with the ED edge and the other with the EF edge. However, there'd have been two MST of G as well. In either scenario, every MST of H would contain the crossover of any T with H.

As a result, is always present in some H MST.

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Most popular questions from this chapter

Sometimes we want light spanning trees with certain special properties. Here’s an example.

Input: Undirected graph G=(V,E) ; edge weights we; subset of vertices UV

Output: The lightest spanning tree in which the nodes of U are leaves (there might be other leaves in this tree as well).

(The answer isn’t necessarily a minimum spanning tree.)

Give an algorithm for this problem which runs in O(ElogV) time. (Hint: When you remove nodes Ufrom the optimal solution, what is left?)

We use Huffman's algorithm to obtain an encoding of alphabet {a,b,c}with frequencies fa,fb,fc. In each of the following cases, either give an example of frequencies (fa,fb,fc)that would yield the specified code, or explain why the code cannot possibly be obtained (no matter what the frequencies are).

(a) Code:{0,10,11}

(b) Code:{0,1,00}

(c) Code:{10,01,00}

Suppose you are given a weighted graph G=(V,E) with a distinguished vertex s and where all edge weights are positive and distinct. Is it possible for a tree of shortest paths from s and a minimum spanning tree in G to not share any edges? If so, give an example. If not, give a reason.

Suppose you implement the disjoint-sets data structure usingunion-by-rank but not path compression. Give a sequence ofm union and find operations onnelements that take Ω(mlogn)time.

The following statements may or may not be correct, In each case, either prove it (if it is correct) or give a counter-example (if it isn’t correct). Always assume that the graph G=(V,E)is undirected. Do not assume that edge weights are distinct unless this is specifically stated.

  1. If a graph G has more than |V|-1edges, and there is a unique heaviest edge, then this edge cannot be part of a minimum spanning tree.
  2. If G has a cycle with a unique heaviest edge e, then e cannot be part of any MST.
  3. Let e be any edge of minimum weight in G. Then e must be part of some MST.
  4. If the lightest edge in a graph is unique, then it must be part of every MST.
  5. If e is part of some MST of G, then it must be a lightest edge across some cut of .
  6. If G has a cycle with a unique lightest edge e must be part of every MST.
  7. The shortest-path tree computed by Dijkstra’s algorithm is necessarily an MST.
  8. The shortest path between two nodes is necessarily part of some MST.
  9. Prim’s algorithm works correctly when there are negative edges.
  10. (For any r>0, define an r-path to be a path whose edges all have weight <r). If G contains an r-path from node s to t , then every MST of G must also contain an r-path from node s to node t.
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