Chapter 25
Some Finite Mathematics
Inductive Proofs & Recursion
Volume 2, Three Skills for Algebra
The chapter Longer Chains of Reason described
mathematical induction. It is a method of proof, which relied on a
sequence of assertions, each one of which implied that it successor ==
the next one in the sequence.
Mathematical induction is used in the first section to confirm or justify
the addition formulas given earlier for geometric and arithmetic sums,
and to say a little more. The proofs in this chapter may look
intimidating at first, but once the first proof is done, the rest are
similar.
- The second section talks about recursion. Recursion is based on the
idea that as soon as one calculation is done, a next may be also be done.
1 Proof by Mathematical
Induction
First Example
In this chapter we revisit the treatment of geometric and arithmetic sums
given earlier. Mathematical induction is employed to justify the earlier
formulas for the values of these sums. The next chapter is easier to
read. (Help may be required with this chapter.)
Theorem 25.1 [On Geometric Sums] Suppose $a$ and $R$ are real
numbers with $R\ne1$. Suppose $k\ge0$ is a whole number.
\[S_k=\sum_{j=0}^k a R^j =a+aR+aR^2+\cdots aR^{k-1}+aR^k \] Then \[S_k=
a\cdot \frac {R^{k+1}-1}{R-1} \]
Proof by Mathematical Induction.
If $k=0$ then $S_k=\sum_{j=0}^k a R^j= aR^0=a$ while \[a\cdot \frac
{R^{k+1}-1}{R-1}=a\cdot \frac {R^{0+1}-1}{R-1}=a\cdot 1=a\] Thus the
assertion is true for $k=0$.
Now we want to show if the assertion \[\sum_{j=1}^k aR^j=a\cdot \frac
{R^{k+1}-1}{R-1}\] is true for $k=m\ge0$ then it must be true when
$k=m+1$.
> To this end, suppose \[\sum_{j=1}^m aR^j=a\cdot \frac
{R^{m+1}-1}{R-1}\] Therefore \begin{eqnarray*}
\sum_{j=1}^{m+1}aR^j&=&aR^{m+1}+\sum_{j=1}^m aR^j \\ &
=&aR^{m+1}+a\cdot \frac {R^{m+1}-1}{R-1}\\ &
=&a\left[R^{m+1}\frac{R-1}{R-1}+ \frac{R^{m+1}-1}{R-1}\right] \\
& =&a\frac{R^{m+1}({R-1})+ R^{m+1}-1}{R-1}\\ &
=&a\frac{R^{m+2}-R^{m+1}+ R^{m+1}-1}{R-1}\\ &
=&a\frac{R^{(m+1)-1}}{R-1} \end{eqnarray*}
This implies \[\sum_{j=1}^k aR^j=a\cdot \frac {R^{k+1}-1}{R-1}\] when
$k=m+1$.
Therefore the principle of mathematical induction implies the result.
Mathematical Induction Second Example - Arithmetic Sums
We revisit the treatment of geometric and arithmetic sums given earlier.
Mathematical induction is employed to justify the earlier formulas for
the values of these sums. The next chapter is easier to read. (Help may
be required with this chapter.)
Theorem 25.2 [On Sume of Arithmetic Sequences]
Suppose $c_{k+1}=c_k+a$ for $k=1\dots,n-1$. Suppose \[S_m=
\sum_{j=1}^mc_j=c_1+c_2+\cdots +c_m\] whenever $1\le m \le n$.
Then (i) for $k=1\dots,n$ \[c_k=c_1+(k-1)\] Further (ii) for
$k=1\dots,n$, \[S_k= \sum_{j=1}^kc_j=kc_1+\frac12k(k-1)\] and also
(iii) \[S_k= \sum_{j=1}^kc_j=\frac12k(c_1+c_k)\]
Note (iii) says that $2S_k$ is $k$ times the sum of the first and last
terms. The following proofs are optional readings in the first instance,
but it mastery no matter how slowly will give you a taste hopefully not
too bitter of higher mathematics.
>
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Proof of (i). We want to show by mathematical induction that
$c_k=c_1+(k-1)a$. This statement is true for $k=1$. Moreover, if
$c_k=c_1+(k-1)a$ then $c_{k+1}=c_k+a=c_1+(k-1)a+a =c_1+ka$. Thus if
the assertion is true for $k$, it is also true for $k+1$. Thus the
principle of mathematical induction implies the equality
$c_k=c_1+(k-1)a$ for each whole number $k=1,2,\dots,m$.
Proof of (ii). The equality $c_k=c_1+(k-1)a$ just proven
with $k=m+1$ implies $c_{m+1}=c_1+(m+1-1)a=c_1+ma$.
We will prove \[\sum_{j=1}^kc_j=kc_1+\frac12k(k-1)a\] by induction
on $k\ge 1$.
If $k=1$ then $S_m=\sum_{j=1}^m c_j= c_1$ and \[
kc_1+\frac12k(k-1)a=1c_1+\frac121(0)a=c_1\] Therefore the assertion
is true for $k=1$.
Now we want to show if the assertion
\[\sum_{j=1}^kc_j=kc_1+\frac12k(k-1)a\] is true for $k=m\ge1$ then
it must be true when $k=m+1$. To this end, suppose
\[\sum_{j=1}^mc_j=mc_1+\frac12m(m-1)a\] This and the equality
\[\sum_{j=1}^{m+1}c_j=c_{m+1}+\sum_{j=1}^m c_j\] imply
\begin{eqnarray*}
\sum_{j=1}^{m+1}c_j&=&c_{m+1}+\left[mc_1+\frac12m(m-1)a\right]
\\ &=&\left[c_1+ma\right]+\left[mc_1+\frac12m(m-1)a\right]
\\ &=&c_1+mc_1+\frac12m(m-1)a+ma \\
&=&(1+m)c_1+[\frac12m(m-1)+m]a \\
&=&(1+m)c_1+\frac12[m(m-1)+2m]a \\
&=&(m+1)c_1+\frac12[m(m-1+2)]a \\
&=&(m+1)c_1+\frac12[m(m+1)]a \\
&=&(m+1)c_1+\frac12[m(m+1)]a \end{eqnarray*} This says that
\[\sum_{j=1}^kc_j=kc_1+\frac12k(k-1)a\] when $k=m+1$. The principle
of mathematical induction now applies. It gives the desired
conclusion.
Proof of (iii). We wish to show
\[\sum_{j=1}^kc_j=\frac12k(c_1+c_k)\] Observe \[ \frac12k(c_1+c_k)
=\frac12k(c_1+[c_1+(k-1)a])=kc_1+\frac12k(k-1)a\] Therefore the
assertion \[\sum_{j=1}^kc_j=\frac12k(c_1+c_k)\] follows from
\[\sum_{j=1}^kc_j=kc_1+\frac12k(k-1)a\] But the latter is true by
the just-proven assertion (b). Thus assertion (c) must be true as
well.
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2. Factorial Function
Inductive Proofs &
Recursion
The recursive computation (or definition)
of formulas f(n) refers to the idea that f(n)
can be computed once f(n-1)
and/or previous values of f(j) have been
computed.
The function
f(n) = n! is defined recursively (or inductively) by
the following properties:
The last line indicates the
algebraic pattern (recursion relation) which permits (n+1)! to be
computed after n! has been. Note that we could have used the
notation f(n) instead of writing n!. The pattern
suggests that 5! = (4+1)·(4!) = 5·24 = 120. It now an easy drill to compute
n! as n takes the values 6,7,8,9,10 ¼ etc. Note that for the larger values, a calculator may be
useful.
Product of Odd Numbers
First, we will begin will an example. Put
P1 = 1. Then for n ³
1, suppose Pn+1 =
Pn·(2n+1). This successively implies
that
or that
It is almost obvious that
Pn equals the product of the first n odd
numbers 1,3,5,7, ¼, 2n+1.
Exercise: Compute
P2,P3,P5,P8
and P9, or obtain formulas for them which involves
numbers and no shorthand notation.
2.3 Product Notation
If $a_j=f(j)$ for some function $f(j)$ of whole numbers $j\ge1$, we may
put \[ \Pi_{j=1}^1 a_j=a_1 \] and then once $\Pi_{j=1}^{n} a_j$ is
calculated, put \[ \Pi_{j=1}^{n+1} a_j=a_{n+1}\cdot\left(\Pi_{j=1}^n a_j
\right) \] This implies that $\Pi_{j=1}^n a_j$ is the product of the
numbers \[a_1, a_2, a_3, \ldots, a_n\] That is, \[ \Pi_{j=1}^n a_j=
a_1\cdot a_2 \cdots a_n \] Now $n!=\Pi_{j=1}^n j$. Further the product of
the first $n$ odd numbers $P_n=\Pi_{j=1}^n (2j+1)$. The product
$P=\Pi_{j=1}^n a_j$ is similar to the sum $S=\sum^n_{j=1}a_j$, but with
the use of multiplication instead of addition. The product $P$ and the
sum $S$ represent of course, different computations.
Summation Notation
The shorthand notation $\sum_{j=1}^k f(j)$ has the following two
properties: \begin{eqnarray*} \sum_{j=1}^1 f(j)&=&f(1) \\
\sum_{j=1}^{k+1} f(j)&=&f(k+1)+\sum_{j=1}^k f(j) \end{eqnarray*}
whenever $k=1,2,3, 4 \ldots $ is a whole number. The latter says that once
\[\sum_{j=1}^k f(j)\] is computed, the value of \[\sum_{j=1}^{k+1} f(j)\]
can be obtained by adding $f(k+1)$. This describes the recursive
computational view (or definition) of \[S_n=\sum_{j=1}^n f(j)\] for whole
numbers n $\ge1$.
Saying how to compute a number gives a definition of it. Since a single
number may be computed in several different ways, it may have several
equivalent definitions.
The shorthand notation
\[\sum_{j=m}^k f(j)\]
more generally has the following two properties
\begin{eqnarray*} \sum_{j=m}^m f(j)&=&f(m) \\ \sum_{j=m}^{k+1}
f(j)&=&f(k+1)+\sum_{j=m}^k f(j) \end{eqnarray*}
whenever $k=m,m+1,m+2,m+3,m+4 \ldots $ is a whole number $\ge m$. The
latter says that once \[\sum_{j=m}^k f(j)\] has been or is computed, the
value of
\[\sum_{j=m}^{k+1} f(j)\]
can be obtained by adding $f(k+1)$. This describes the recursive or
inductive computation (or definition) of \[S(n,m)=\sum_{j=m}^n f(j)\] for
whole or integers numbers $n\ge m$. The two cases where the initial or
lower index $m=0$ has value or value $m=1$ occur often in examples. But
other cases can occur, and eventually do.
Remark - May 1, 2012: The phrases recursive definition and
inductive definition are interchangeable in mathematics.
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