/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q4E Show that if an undirected graph... [FREE SOLUTION] | 91影视

91影视

Show that if an undirected graph with n vertices has k connected components, then it has at least n - k edges.

Short Answer

Expert verified

The undirected graph with n vertices has k connected components with least n - k edges.

Step by step solution

01

Two sub graph of main graph  

If there is no edge between two sub-graphs of a given graph, they are said to have linked components.

That is, no edge E ( u,v) exists in which u corresponds towards the set of vertices of the very first sub-graph plus v belongs to that same vertex set of the second sub-graph, or vice versa..

02

Step 2: Evidence via Induction

Proof for the Most Basic Case:

When k = 1, there is only one linked component in a network with n vertices. All of the vertices in the network are linked since there is only one connected component.

There are at least n - 1 edges in an undirected network with n linked vertices.

As a result, the number of edges in the graph is n - 1.

Since k=1, the value of n - k = n - 1 can be calculated.

As a result, the assertion is correct for k = 0.

03

Assumption

The assumption is,

Suppose that for n = v and k = c, the assertion is correct.

As a result, there are at least v - c edges in the undirected graph G with v vertices and linked components.

Demonstrate that the assertion is correct for n = v and k = c + 1.

The proof is,

鈥 There are at least v - c edges in a graph G with vvertices and clinked components. (based on the assumption from Step 2)

鈥 Split one of the linked components of the graph G into two to make a graph G1 with c + 1 connected components.

鈥 Because there must be no edge between two linked components, one of the edges must be eliminated to make a new connected component.

鈥 Inside the graphs G1, overall number of edges is at least v - c -1 or v - (c + 1) (Since the graph G had v - cedges).

鈥 Inside the graph G1 , the number of linked elements has become equal to c + 1, and the number of edges is at least v- ( c+ 1 ).

Assuming n = vvertices as well as k = c + 1 linked elements, the following holds true.

As a result, it has been established.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

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}

Design a linear-time algorithm for the following task.

Input: A connected, undirected graphG.

Question:Is there an edge you can remove fromGwhile still leavingGconnected?

Can you reduce the running time of your algorithm toO(V)?

Ternary Huffman. Trimedia Disks Inc. has developed 鈥渢ernary鈥 hard disks. Each cell on a disk can now store values 0,1, or 2(instead of just 0 or 1). To take advantage of this new technology, provide a modified Huffman algorithm for compressing sequences of characters from an alphabet of size n, where the characters occur with known frequencies f1, f2,...., fn. Your algorithm should encode each character with a variable-length codeword over the values 0,1,2, such that no codeword is a prefix of another codeword and so as to obtain the maximum possible compression. Prove that your algorithm is correct

Give the state of the disjoint-sets data structure after the following sequence of operations, starting from singleton sets 1,,8. Usepath compression. In the case of ties, always make the lower numbered root point to the higher numbered ones.

union1,2,union3,4,union5,6,union7,8

,union1,4,union6,7,union4,5,find1

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鈥檛 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鈥檚 algorithm is necessarily an MST.
  8. The shortest path between two nodes is necessarily part of some MST.
  9. Prim鈥檚 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.
See all solutions

Recommended explanations on Computer Science Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.