A precise approach of defining natural numbers is as follows:
Definition 1.5.1 (Natural Numbers).
A Subset \(S\) of a field \(F\) is called inductive iff:
Define \(N\) to be the intersection of all such subsets. We then obtain the following.
Theorem 2. The Set \(N\) so defined is inductive itself. In fact, it is the “smallest” inductive set in \(F\) (i.e. contained in any other such set).
Proof. We have to show that, with our new definition,
Now, by definition, the unity \(1\), is in each inductive set; Hence belongs to the
intersection of such sets, i.e., to \(N\). Thus, \(1 \in N\), as claimed.
Next, we take any \(x \in N\). Then, by our definition of \(N\), \(x\) is in every inductive set \(S\).
Hence, by the property (ii) of such sets, also \(x+1\) is in every such set \(S\); thus, \(x+1\) is in
the intersection of all inductive sets, i.e., \(x+1 \in N\), and so \(N\) is inductive, indeed.
Finally, by definition, \(N\) is the common part of all such sets, hence contained in
each. □
For applications, this is usually expressed as:
Theorem 3 (First Inductive Law). A proposition \(P(n)\) involving a natural \(n\) holds for all \(n \in N\) in a field \(F\) if:
Proof. Let \(S\) be the set of all those \(n \in N\) for which \(P(n)\) is true; that is, \(S =\{n \in N \;|\; P(n) \} \). We must
show that actually each \(n \in N\) is in \(S\), i.e., \(N \subseteq S\).
First, we show that \(S\) is inductive. By our assumption (i), \(P(1)\) is true. So, \(1 \in S\).
Next, suppose \(x \in S\). This means that \(P(x)\) is true, but by assumption (ii), this implies
\(P(x+1)\), i.e., \(x+1 \in S\). Thus, \(1 \in S\) and \((\forall x \in S)\;\;x+1 \in S\); so, \(S\) is inductive. By the new definition of Natural
numbers, \(N \subseteq S\). □
This theorem is widely used to prove general propositions on natural elements, as follows. In order to show that some formula or proposition \(P(n)\) is true for every natural number \(n\), we first verify \(P(1)\), i.e., show that \(P(n)\) holds for \(n=1\). We then show that \begin {align*} (\forall m \in N)\;\;P(m) \implies P(m+1); \end {align*}
that is, if \(P(n)\) holds for some \(n=m\), then it also holds for \(n=m+1\). Once, these two facts are
established, The first inductive law ensures, that \(P(n)\) holds for all natural
\(n\).
Examples
For multiplication, similarly, fix \(m \in \N \), and let \(P(n)\) mean that \(mn \in \N \).
In the first case, we have \((m-1)+1 =0 +1 =1 \in \N \). But \((m-1)+1 = m +((-1)+1)= m+ (1+(-1))=(m+1)-1\), by associativity and
commutativity. Thus, \((m+1) -1 \in \N \).
In the second case, \(m-1 \in \N \), implies \((m-1)+1 \in \N \) by the definition of \(\N \). Thus, in both cases, \((m+1)-1 \in \N \), and this shows that \(P(m+1)\) is true if \(P(m)\) is true.
For the first case, clearly, if \(m\leq k\), because \(k<k+1\), by the transitive property of an ordered field, we have \(m\leq k+1\). For the second case, if \(m-k\in \N \), by Example (B), we have either: \begin {align*} (m-k) -1=0\;\;\text {or}\;\; (m-k) -1 \in \N \end {align*}
In the first, case, \(m-k =1\), hence \(m\leq k+1\). For the latter case, using associativity and commutativity, we have \(m - (k+1) \in \N \). Thus, \(P(k) \implies P(k+1)\), and by induction we have : If, \(n,m \in \N \) and \(m>n\), then \(m-n \in \N \).
Lemma 1. For no naturals \(m,n\) in an ordered field is \(m<n<m+1\). i.e., there is no natural between any arbitrary natural and its successor.
Proof. For, by Example (D), \(n>m\), would imply that \(n-m \in \N \). By Example (C), we have \(n-m\geq 1\), or \(n\geq m+1\). Then by the trichotomy of order, we exclude \(n< m+1\). Thus, \(m<n<m+1\) is impossible for natural numbers. □
Theorem 4 (Well Orderedness). In an ordered field, every nonempty subset of \(\N \) (the naturals) has a least element, i.e., one not exceeding any other of its members.
Proof. Given some \(A\) such that \(\varnothing \neq A \subseteq \N \), we want to show that \(A\) has a least element. To do this, let: \begin {align*} A_n = \{x\in A\;|\; x \leq a\}\;\; n=1,2, ... \end {align*}
That is, \(A_n\) consists of those elements of \(A\) that are \(\leq n\) (\(A_n\) might be empty). Now let \(P(n)\) mean \begin {align*} \textit {``either $A_n = \varnothing $ or $A_n$ has a least element''} \end {align*}
We will show by induction that \(P(n)\) holds for each \(n \in \N \). We have the following:
Now, by assumption, \(A \neq \varnothing \); so we fix some \(n \in A\). Then the set \begin {align*} A_n = \{ \ x \in A\;\; |\;\; x \leq n\ \} \end {align*}
contains \(n\) and hence \(A_n \neq \varnothing \). Thus, by the proposition, \(A_n\) must have a least element \(m_0\), \(m_0 \leq n\). But \(A\) differs from \(A_n\) only by elements \(> n\) (if any), which are all \(> m_0\). Thus \(m_0\) is the desired least element of \(A\) as well. □
This theorem yields a new form of induction law for ordered fields: The Second Induction Law
Theorem 5 (Second Induction Law). A Proposition \(P(n)\) holds for each natural number \(n\) in an ordered field if
Proof. We shall use a so-called indirect proof or proof by contradiction.
That is, instead of proving our assertion directly, we shall show that the
opposite is false, and so, our theorem must be true.
Thus assume (i) and (ii) and seeking a contradiction, suppose \(P(n)\) fails for
some \(n \in \N \) (call such \(n\) as “bad”). Then these bad naturals from a non-empty
subset of \(\N \), call it \(A\). By the well ordered property of \(\N \), \(A\) has a least member \(m\).
Thus, \(m\) is the least natural for which \(P(n)\) fails. If also follows that all \(n\) less than \(m\)
do satisfy \(P(n)\) (among them is 1 by (i)). But then, by our assumption (ii), \(P(n)\) also
holds for \(n=m\), which is impossible since, m is bad by construction.
This construction shows that there cannot be any “bad” naturals. □
A similar induction law applies to definitions. It reads as follows:
Definition 1.5.2 (Recursive Definitions). A notion \(C(n)\) is regarded as defined for every natural element of an ordered field \(F\) if
Such definitions are referred to as inductive or recursive. The admissibility can be proved
rigorously 1 .
We shall now illustrate this procedure by several important examples of
inductive definitions to be used throughout our later work.
Definition 1.5.3 (Natural number Power). Given an element \(x\) of a field \(F\), we define the \(n\)-th power of \(x\), denoted
(i) \(x^1 =x\) and (ii) \(x^n = x^{n-1}x\), \(n =2,3, ...\).
By the inductive law expressed above \(x^n\) is defined for every natural \(n\). If \(x \neq 0\), we also define \(x^0=1\) and \(x^{-n} =\frac {1}{x^n}\)
Definition 1.5.4 (Factorial). For every natural number \(n\), we define recursively the expression \(n!\) as follows:
(i) \(1! =1\); (ii) \(n! = (n-1)! \cdot n, \;\; n=2,3,... \)
We also define \(0!=1\)
Definition 1.5.5 (Sums and Products of \(n\) elements). The sum and product of \(n\) elements \(x_1,\ \ldots ,\ x_n \in F\) of a field, denoted by \begin {align*} x_1+ x_2+ \cdots + x_n\;\; \text {and}\;\; x_1\cdot x_2 \cdots x_n \end {align*}
(or \(\sum _{k=1}^{n} x_k\) and \(\prod _{k=1}^nx_k\)), respectively, are defined recursively as follows:
Sums: (i) \(\sum _{k=1}^1 x_k = x_1\); (ii) \(\sum _{k=1}^n x_k = \left (\sum _{k=1}^{n-1} x_k\right ) +x_n\), \(n=2,3,\ldots \)
Products: (i) \(\prod _{k=1}^1 x_k = x_1\); (ii) \(\prod _{k=1}^n x_k = \left (\prod _{k=1}^{n-1} x_k\right ) +x_n\), \(n=2,3,\ldots \)
Induction can be used to define the notion of an ordered n-tuple if the concept of an ordered pair is assumed to be known.
Definition 1.5.6 (\(n\)-tuple). For any objects \(x_1,x_2, \ldots , x_n\), the ordered \(n\)-tuple \((x_1, \ldots , x_n)\) is defined by
Accordingly, we may now also define the Cartesian Product \begin {align*} A_1 \times A_2 \times \cdots \times A_n \end {align*}
of \(n\) sets either as the set of all \(n\)-tuples \((x_1, \ldots , x_n)\) such that \(x_k \in A_k\) \(k=1,2, \ldots , n\), or directly by induction.