maths.free › Combinatorics & Graph Theory › Inclusion-Exclusion › The Inclusion-Exclusion Formula

The Inclusion-Exclusion Formula

Now that we have an understanding of what we mean by a property, let's see how we can use this concept to generalize the process we used in the first two examples of the previous section.

The Inclusion-Exclusion Formula

Now that we have an understanding of what we mean by a property, let's see how we can use this concept to generalize the process we used in the first two examples of the previous section.

Let \(X\) be a set and let \(\mathcal{P}=\{P_1,P_2,\dots,P_m\}\) be a family of properties. Then for each subset \(S\subseteq [m]\), let \(N(S)\) denote the number of elements of \(X\) which satisfy property \(P_i\) for all \(i\in S\). Note that if \(S=\emptyset\), then \(N(S)=|X|\), as every element of \(X\) satisfies every property in \(S\) (which contains no actual properties).

Returning for a moment to with \(P_1\) being is a computer science major and \(P_2\) being is male, we note that \(N(\{1\})=47\), since there are \(47\) computer science majors in the class. Also, \(N(\{2\})=51\) since \(51\) of the students are male. Finally, \(N(\{1,2\})=45\) since there are \(45\) male computer science majors in the class.

In the examples of the previous section, we subtracted off \(N(S)\) for the sets \(S\) of size \(1\) and then added back \(N(S)\) for the set of properties of size \(2\), since we'd subtracted the number of things with both properties (male computer science majors or solutions with both \(x_3>7\) and \(x_4'>8\)) twice. Symbolically, we determined that the number of objects satisfying none of the properties was \[\begin{aligned}\end{aligned}\]

Suppose that we had three properties \(P_1,P_2\), and \(P_3\). How would we count the number of objects satisfying none of the properties? As before, we start by subtracting for each of \(P_1\), \(P_2\), and \(P_3\). Now we have removed the objects satisfying both \(P_1\) and \(P_2\) twice, so we must add back \(N(\{1,2\})\). similarly, we must do this for the objects satisfying both \(P_2\) and \(P_3\) and both \(P_1\) and \(P_3\). Now let's think about the objects satisfying all three properties. They're counted in \(N(\emptyset)\), eliminated three times by the \(N(\{i\})\) terms, and added back three times by the \(N(\{i,j\})\) terms. Thus, they're still being counted! Thus, we must yet subtract \(N(\{1,2,3\})\) to get the desired number: \[\begin{aligned}\end{aligned}\] We can generalize this as the following theorem:

Condensed: the full section is in Keller & Trotter, Applied Combinatorics.

Nüüd sina. Ükski kalkulaator ei lahenda seda, kuid selle osad on kompueeritavad. Proovi allpool või kirjuta omaenda oma.

Praktika (1)

Proovi kõigepealt igat paberil. Vastake kontrollile, kui olete kindel, et neid saab iga sammu jaoks avada.

  1. How many terms are there in the sum of if \(m=10\)? Explain your reasoning.

Hoia oma töö

Tasuta konto lisab märkmeid igale õppetunnile, ülestähenduse, oma lahendatud probleemide kohta ühes kohas ja juhendaja kohta, kellelt võid küsida selle lehekülje kohta. Matemaatika ise on avatud kõigile, allkirjastatud või mitte.

Registreeru Sisselogimine

Siin kasutatavad sümbolid

Koputage kõiki sümboleid, mis on mõeldud täieliku definitsiooni, pildi ja iga tähe all.

Küsimusi, mida inimesed küsivad

Permutation or combination?

Ask whether order matters. A lock code is a permutation (order matters); a hand of cards is a combination (it does not).

What is a graph in this sense?

Dots (vertices) joined by lines (edges), not a plot. Road maps, social networks and molecules are graphs; questions like "is there a route" and "how few colours" are graph theory.

Osad käesoleva lehekülje on kohandatud alates Keller & Trotter, Applied Combinatorics (CC BY-SA 4.0). Kondenseeritud ja uuesti selgitatud siin; vead on meie.

Rohkem Combinatorics & Graph Theory