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Inductive Definitions

Although it is primarily a matter of taste, recursive definitions can also be recast in an inductive setting. As a first example, set 1!=1 and whenever k! has been defined, set (k+1)!=(k+1)k!.

Inductive Definitions

Although it is primarily a matter of taste, recursive definitions can also be recast in an inductive setting. As a first example, set \(1!=1\) and whenever \(k!\) has been defined, set \((k+1)!=(k+1)k!\).

As a second example, set \[\begin{aligned}\end{aligned}\] In this second example, we are already using an abbreviated form, as we have omitted some English phrases. But the meaning should be clear.

Now let's back up and give an example which would really be part of the development of number systems. Suppose you knew everything there was to know about the addition of positive integers but had never heard anything about multiplication. Here's how this operation can be defined.

Let \(m\) be a positive integer. Then set \[\begin{aligned}\end{aligned}\] You should see that this defines multiplication but doesn't do anything in terms of establishing such familiar properties as the commutative and associative properties. Check out some of the details in .

Symbols used here

n!
factorial
n × (n−1) × … × 1; the number of orderings of n things. 0! = 1.
\binom{n}{k}
binomial coefficient, "n choose k"
Number of k-element subsets of n things: n!/(k!(n−k)!).
\sum_{k=1}^{n} a_k
summation
Add a_k for k = 1 up to n.
\prod_{k=1}^{n} a_k
product
Multiply a_k for k = 1 up to n.
\emptyset,\ |A|
empty set, cardinality
The set with no elements; the number of elements of A.

Questions people ask

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.

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Parts of this page are adapted from Keller & Trotter, Applied Combinatorics (CC BY-SA 4.0). Condensed and re-explained here; errors are ours.

Più in Combinatorics & Graph Theory