/*! 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} Problem 23 Draw the digraph of the function... [FREE SOLUTION] | 91Ó°ÊÓ

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Draw the digraph of the function from the set \(\\{\) Alice, Bob, Dawn, Bill \(\\}\) to the set \(\\{\mathrm{A}, \mathrm{B}, \mathrm{C}, \mathrm{D}, \mathrm{E}\\}\) given by \(f(X)=\) the first letter of the name \(X\)

Short Answer

Expert verified
Alice -> A, Bob -> B, Dawn -> D, Bill -> B

Step by step solution

01

Understand the Given Function

The function maps each name to the first letter of that name. For example, if the name is 'Alice', the function output is 'A'.
02

Identify All Elements in the Domain

The domain set includes: Alice, Bob, Dawn, Bill.
03

Apply the Function to Each Element

Apply the function to each name by identifying the first letter:- Alice -> A- Bob -> B- Dawn -> D- Bill -> B.
04

Determine the Range

The range is the set of distinct first letters obtained from the domain set: {A, B, D}.
05

Draw the Digraph

Draw the digraph by plotting elements of the domain on one side and elements of the range on the other side. Draw arrows from each element in the domain to the corresponding element in the range.- Alice -> A- Bob -> B- Dawn -> D- Bill -> B.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Digital Graph
A digital graph (or digraph) is a graphical representation of relationships between elements in discrete mathematics. It consists of nodes and directed edges (arrows). In this exercise, each name in the domain is a node, and each letter in the range is another node. Arrows connect names to their corresponding letters.

For example, 'Alice' is connected to 'A' by an arrow, showing the relationship defined by the function. Digital graphs help visualize how functions map elements from one set to another. They are particularly useful in understanding complex relationships and structures easily.
Function Mapping
In combinatorics, function mapping refers to the process of associating each element of one set (called the domain) with an element of another set (called the range). Each element in the domain is paired with exactly one element in the range.

For this problem, the function maps each name in the set {Alice, Bob, Dawn, Bill} to the first letter of that name. This means:- Alice -> A- Bob -> B- Dawn -> D- Bill -> B. Function mapping ensures that each domain element corresponds to a unique range element, even if two domain elements map to the same range element, as with Bob and Bill.
Set Theory
Set Theory is a foundational concept in mathematics that deals with collections of objects, known as sets. It provides essential vocabulary and operations for discussing relationships, such as function mapping.

In this exercise, we work with two sets: the domain set {Alice, Bob, Dawn, Bill} and the range set {A, B, C, D, E}. Set theory allows us to describe and compare these collections formally, understanding the nature of functions as mappings between these sets. The process involves identifying unique elements and relationships within these sets.
Discrete Mathematics
Discrete mathematics deals with structures that are fundamentally discrete rather than continuous. This includes topics such as set theory, function mapping, and graph theory.

The exercise at hand involves discrete structures: a finite set of names, a finite set of letters, and the mapping (function) between them. Discrete mathematics underpins much of computer science, allowing us to efficiently analyze and optimize algorithms and data structures.
  • Finite Sets
  • Function Mapping
  • Digraphs
These concepts are inherent in understanding the mechanics behind digital graphs and mappings used in the exercise.

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Most popular questions from this chapter

Your formula for the Catalan Number can be expressed as a binomial coefficient divided by an integer. Whenever we have a formula that calls for division by an integer, an ideal combinatorial explanation of the formula is one that uses the quotient principle. The purpose of this problem is to find such an explanation using diagonal lattice paths. \({ }^{a}\) A diagonal lattice path that never goes below the \(y\) -coordinate of its first point is called a Dyck Path. We will call a Dyck Path from (0,0) to \((2 n, 0)\) a Catalan Path of length \(2 n\). Thus the number of Catalan Paths of length \(2 n\) is the Catalan Number \(C_{n}\) (a) If a Dyck Path has \(n\) steps (each an upstep or downstep), why do the first \(k\) steps form a Dyck Path for each nonnegative \(k \leq n ?\) (b) Thought of as a curve in the plane, a diagonal lattice path can have many local maxima and minima, and can have several absolute maxima and minima, that is, several highest points and several lowest points. What is the \(y\) -coordinate of an absolute minimum point of a Dyck Path starting at (0,0)\(?\) Explain why a Dyck Path whose rightmost absolute minimum point is its last point is a Catalan Path. (h) (c) Let \(D\) be the set of all diagonal lattice paths from (0,0) to \((2 n, 0)\). (Thus these paths can go below the \(x\) -axis.) Suppose we partition \(D\) by letting \(B_{i}\) be the set of lattice paths in \(D\) that have \(i\) upsteps (perhaps mixed with some downsteps) following the last absolute minimum. How many blocks does this partition have? Give a succinct description of the block \(B_{0} \cdot(\mathrm{h})\) (d) How many upsteps are in a Catalan Path? (e) We are going to give a bijection between the set of Catalan Paths and the block \(B_{i}\) for each \(i\) between 1 and \(n\). For now, suppose the value of \(i,\) while unknown, is fixed. We take a Catalan path and break it into three pieces. The piece \(F\) (for "front") consists of all steps before the \(i\) th upstep in the Catalan path. The piece \(U\) (for "up") consists of the \(i\) th upstep. The piece \(B\) (for "back") is the portion of the path that follows the \(i\) th upstep. Thus we can think of the path as \(F U B\). Show that the function that takes \(F U B\) to \(B U F\) is a bijection from the set of Catalan Paths onto the block \(B_{i}\) of the partition. (Notice that \(B\) UF can go below the \(x\) axis.) \((\mathrm{h})\) (f) Explain how you have just given another proof of the formula for the Catalan Numbers.

Now some number \(n\) of schools are going to send their baseball teams to a tournament, and each team must play each other team exactly once. Let us think of the teams as numbered 1 through \(n\). (a) How many games does team 1 have to play in? (b) How many games, other than the one with team \(1,\) does team two have to play in? (c) How many games, other than those with the first \(i-1\) teams, does team \(i\) have to play in? (d) In terms of your answers to the previous parts of this problem, what is the total number of games that must be played?

(This becomes especially relevant in Chapter \(6,\) though it makes an important point here.) In how many ways may we attach two identical red beads and two identical blue beads to the corners of a square (with one bead per corner) free to move around in (three-dimensional) space? (n)

Two sets are said to be disjoint if they have no elements in common. For example, \(\\{1,3,12\\}\) and \(\\{6,4,8,2\\}\) are disjoint, but \(\\{1,3,12\\}\) and \(\\{3,5,7\\}\) are not. Three or more sets are said to be mutually disjoint if no two of them have any elements in common. What can you say about the size of the union of a finite number of finite (mutually) disjoint sets? Does this have anything to do with any of the previous problems?

How many subsets does a set \(S\) with \(n\) elements have? (b)

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