The set of leaves and the set of internal vertices of a | StudySoup
Discrete Mathematics and Its Applications | 7th Edition | ISBN: 9780073383095 | Authors: Kenneth Rosen

Table of Contents

A.1
Generating Permutations and Combinations
A.2
Solving Linear Recurrence Relations
A.3
Divide-and-Conquer Algorithms and Recurrence Relations

1
The Foundations: Logic and Proofs
1.SE
The Foundations: Logic and Proofs
1.1
Propositional Logic
1.2
Applications of Propositional Logic
1.3
Propositional Equivalences
1.4
Predicates and Quantifiers
1.5
Nested Quantifiers
1.6
Rules of Inference
1.7
Introduction to Proofs
1.8
Proof Methods and Strategy

2
Basic Structures: Sets, Functions, Sequences, Sums, and Matrices
2.SE
Basic Structures: Sets, Functions, Sequences, Sums, and Matrices
2.1
Sets
2.2
Set Operations
2.3
Functions
2.4
Sequences and Summations
2.5
Cardinality of Sets
2.6
Matrices

3
Algorithms
3.SE
Algorithms
3.1
Algorithms
3.2
The Growth of Functions
3.3
Complexity of Algorithms

4
Number Theory and Cryptography
4.SE
Number Theory and Cryptography
4.1
Divisibility and Modular Arithmetic
4.2
Integer Representations and Algorithms
4.3
Primes and Greatest Common Divisors
4.4
Solving Congruences
4.5
Applications of Congruences
4.6
Cryptography

5
Induction and Recursion
5.SE
Induction and Recursion
5.1
Mathematical Induction
5.2
Strong Induction and Well-Ordering
5.3
Recursive Definitions and Structural Induction
5.4
Recursive Algorithms
5.5
Program Correctness

6
Counting
6.SE
Counting
6.1
The Basics of Counting
6.2
The Pigeonhole Principle
6.3
Permutations and Combinations
6.4
Binomial Coefficients and Identities
6.5
Generalized Permutations and Combinations
6.6
Generating Permutations and Combinations

7
Discrete Probability
7.SE
Discrete Probability
7.1
An Introduction to Discrete Probability
7.2
Probability Theory
7.3
Bayes’ Theorem
7.4
Expected Value and Variance

8
Advanced Counting Techniques
8.SE
Advanced Counting Techniques
8.1
Applications of Recurrence Relations
8.2
Solving Linear Recurrence Relations
8.3
Divide-and-Conquer Algorithms and Recurrence Relations
8.4
Generating Functions
8.5
Inclusion–Exclusion
8.6
Applications of Inclusion–Exclusion

9
Relations
9.SE
Relations
9.1
Relations and Their Properties
9.2
n-ary Relations and Their Applications
9.3
Representing Relations
9.4
Closures of Relations
9.5
Equivalence Relations
9.6
Partial Orderings

10
Graphs
10.SE
Graphs
10.1
Graphs and Graph Models
10.2
Graph Terminology and Special Types of Graphs
10.3
Representing Graphs and Graph Isomorphism
10.4
Connectivity
10.5
Euler and Hamilton Paths
10.6
Shortest-Path Problems
10.7
Planar Graphs
10.8
Graph Coloring

11
Trees
11.SE
Trees
11.1
Introduction to Trees
11.2
Applications of Trees
11.3
Tree Traversal
11.4
Spanning Trees
11.5
Minimum Spanning Trees

12
Boolean Algebra
12.SE
Boolean Algebra
12.1
Boolean Functions
12.2
Representing Boolean Functions
12.3
Logic Gates
12.4
Minimization of Circuits

13
Modeling Computation
13.SE
Modeling Computation
13.1
Languages and Grammars
13.2
Finite-State Machines with Output
13.3
Finite-State Machines with No Output
13.4
Language Recognition
13.5
Turing Machines

Textbook Solutions for Discrete Mathematics and Its Applications

Chapter 5.3 Problem 44E

Question

The set of leaves and the set of internal vertices of a full binary tree can be defined recursively.

Basis step: The root r is a leaf of the full binary tree with exactly one vertex r. This tree has no internal vertices.

Recursive step: The set of leaves of the tree \(T=T_{1} \cdot T_{2}\) is the union of the sets of leaves of \(T_{1}\) and of \(T_{2}\).The internal vertices of T are the root r of T and the union of the set of internal vertices of \(T_{1}\) and the set of internal vertices of \(T_{2}\).

Use structural induction to show that \(l(T)\), the number of leaves of a full binary tree T, is 1 more than \(i(T)\), the number of internal vertices of T.

Solution

Step 1 of 3

We are given that

 \(l(T)\) is the number of leaves of a full binary tree

 \(i(T)\) is the number of internal vertices of  T

We have to prove  \(l(T)=i(T)+1\).

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full solution

Title Discrete Mathematics and Its Applications 7 
Author Kenneth Rosen
ISBN 9780073383095

The set of leaves and the set of internal vertices of a

Chapter 5.3 textbook questions

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