maths.free › Combinatorics & Graph Theory › Induction › Inductive Definitions
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 .
今度はあなたの番 計算機では解けませんが、計算可能です。下の一つを試してみましょう。もしくは自分で入力してください。
ここで使用された記号
どの記号をタップしても、定義、画像、それぞれの文字の意味が表示されます。
よくある質問
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.
Parts of this page are adapted from Keller & Trotter, Applied Combinatorics (CC BY-SA 4.0). ここでは要約して説明し直しています。誤りは私たちの責任です。
More in Combinatorics & Graph Theory
The counting principlesPigeonhole principle and inclusion, exclusionBinomial coefficients and Pascal's triangleRecurrences and generating functionsGraphs: vertices, edges, degreesPaths, cycles, trees, Euler and HamiltonColouring and planar graphs