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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 .
Now you Không máy tính nào có thể tính toán được nó, nhưng các mảnh của nó có thể tính toán được. Thử một trong những cách dưới đây, hoặc gõ theo ý bạn.
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Câu hỏi người ta hỏi
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.
Một số phần của trang này được chuyển từ Keller & Trotter, Applied Combinatorics (CC BY-SA 4.0). Được nén lại và giải thích lại ở đây; lỗi là của chúng tôi.
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