Mathematical Foundations of Computer Science by Satyanarayana Bhavanari; Kumar T. V. Pradeep; Shaw Shaik Mohiddin

Mathematical Foundations of Computer Science by Satyanarayana Bhavanari; Kumar T. V. Pradeep; Shaw Shaik Mohiddin

Author:Satyanarayana, Bhavanari; Kumar, T. V. Pradeep; Shaw, Shaik Mohiddin
Language: eng
Format: epub
Publisher: Taylor & Francis Group
Published: 2020-07-15T00:00:00+00:00


(En = E, E, E, … E, the composition of n copies of E).

Proof: Let G = (V, E) be a diagraph.

Now we shall prove the theorem by mathematical induction on ‘n’.

Case I: For n = 1

Then En = E

By the definition of path that (u, v) ∈ E if there is a path of length 1, from u to v. Since a path of length 1 is an edge of G.

Case II: For n > 1.

Assume that the theorem is true for n−1. Now we shall prove the theorem into two parts.

Part I: Let (v0, v1), (v1, v2), …, (vn−1, vn) be a directed path from v0 to vn.

Then (v0, vn−1) ∈ En−1, (by induction).

By the definition En = En−1, E and (vn−1, vn) ∈ E so that (v0, vn) ∈ En.

Part II: Suppose (v0, vn) ∈ En.

Since En = En−1.E, there exists some vn−1 such that (v0, vn−1) ∈ En−1 and (vn−1, vn) ∈ E.

By the inductive hypothesis, there is a directed path (v0, v1), (v1, v2), …, (vn−2, vn−1) of length n−1, from v0 to vn−1.

Adding (vn−1, vn) to this path gives the path of length n.

The proof is complete.



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