Let (u, v) be a minimum-weight edge in a connected graph G. Show that (u, v) belongs to some minimum spanning tree of G.
Mininum spanning tree (MST) of a given connected graph G is the path which contain all vertices of G without any cycles with the such that the sum of weights of edges chosen in the MST is minimum.
Assume e1=(u,v) is a minimum weighted edge of G.
So there cannot be any other acylic path from u to v such that the sum of edge weights in the chosen path is less than edge weight of e1.
But,it is possible to have other edges e2(u2,v2),e3(u3,v3) etc with the same egde weight as e1.Only one of them from them must be considered in the MST to avoid the cycle and reduce the sum of edge weights.
If e2 is considered in MST,e1 is considered in some other MST.But e1 must be included in the some other MST.
Hence proved.
Let (u, v) be a minimum-weight edge in a connected graph G. Show that (u, v)...
1) Professor Sabatier conjectures the following converse of Theorem 23.1. Let G=(V,E) be a connected, undirected graph with a real-valued weight function w defined on E. Let A be a subset of E that is included in some minimum spanning tree for G, let (S,V−S) be any cut of G that respects A, and let (u,v) be a safe edge for A crossing (S,V−S). Then, (u,v) is a light edge for the cut. Show that the professor's conjecture is incorrect...
Let G=(V, E) be a connected graph with a weight w(e) associated with each edge e. Suppose G has n vertices and m edges. Let E’ be a given subset of the edges of E such that the edges of E’ do not form a cycle. (E’ is given as part of input.) Design an O(mlogn) time algorithm for finding a minimum spanning tree of G induced by E’. Prove that your algorithm indeed runs in O(mlogn) time. A minimum...
2. Let G = (V, E) be an undirected connected graph with n vertices and with an edge-weight function w : E → Z. An edge (u, v) ∈ E is sparkling if it is contained in some minimum spanning tree (MST) of G. The computational problem is to return the set of all sparkling edges in E. Describe an efficient algorithm for this computational problem. You do not need to use pseudocode. What is the asymptotic time complexity of...
Problem 4 Let G = (V. E) be an undirected, connected graph with weight function w : E → R. Furthermore, suppose that E 2 |V and that all edge weights are distinct. Prove that the MST of G is unique (that is, that there is only one minimum spanning tree of G).
Let G = (V, E) be a weighted undirected connected graph that contains a cycle. Let k ∈ E be the edge with maximum weight among all edges in the cycle. Prove that G has a minimum spanning tree NOT including k.
Let G be a graph, and let T, T' be spanning trees in G. Show that if e is an edge in T, then there is an edge e in T' such that the graph obtained by adding the edge e, to T-e is again a spanning tree in G.
Let G be a graph, and let T, T' be spanning trees in G. Show that if e is an edge in T, then there is an edge e in...
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Let e be the unique lightest edge in a graph G. Let T be a spanning tree of G such that e /∈ T . Prove using elementary properties of spanning trees (i.e. not the cut property) that T is not a minimum spanning tree of G.
Problem 3's picture are given below.
5. (a) Let G = (V, E) be a weighted connected undirected simple graph. For n 1, let cycles in G. Modify {e1, e2,.. . ,en} be a subset of edges (from E) that includes no Kruskal's algorithm in order to obtain a spanning tree of G that is minimal among all the spanning trees of G that include the edges e1, e2, . . . , Cn. (b) Apply your algorithm in (a)...
Does an edge of the smallest possible value in a weighted connected graph G always belong to a minimum spanning tree of G? Discuss this for a number of cases.