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\begin{document}
\vspace*{-60pt}
\centerline{\smalltt INTEGERS:
 \smallrm ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY \smalltt 4
(2004), \#A11}
\vskip 50pt


\begin{center}
{\bf \uppercase{A Variation on Perfect Numbers}} \vskip 20pt
{\bf Roger Woodford\footnote{Supported by an NSERC undergraduate student research award.}}\\
{\smallit Department of Mathematics, University of Manitoba, Winnipeg, MB R3M 2N2, Canada}\\
{\tt rogerw@math.ubc.ca}\\\vskip 10pt
\end{center}
\vskip 30pt \centerline{\smallit Received: 7/28/03, 
Revised:  3/4/04, Accepted: 7/6/04, Published: 7/9/04
} \vskip 30pt

\centerline{\bf Abstract}

\noindent For $k\in \mathbb{N}$ we define a new divisor function
$s_{k}$ called the $k^{th}$ prime symmetric function. By analogy
with the sum of divisors function $\sigma$, we use the functions
$s_{k}$ to consider variations on perfect numbers, namely
$k$-symmetric-perfect numbers as well as $k$-cycles. We find all
$k$-symmetric-perfect numbers for $k = 1, 2, 3$. We also consider
the problem of whether a natural number $n$ can be expressed in the
form $s_{k}(n)$, and show that for $n$ large enough, it always can
be for $k = 1, 2$.

\pagestyle{myheadings} \markright{\smalltt INTEGERS: \smallrm
ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY \smalltt 4 (2004),
\#A11\hfill}

\thispagestyle{empty} \baselineskip=15pt \vskip 30pt

\section*{\normalsize 1. Introduction}

\noindent {\bf Definition 1:} Let $k$ be a nonnegative integer. We
define $s_{k}: \mathbb{N} \rightarrow \mathbb{N}\cup\{0\}$ as
follows: If $k = 0$, $s_{k}(n) \equiv 1$. If $k > 0$, and $n =
p_{1}\cdots p_{r}$, where $r = \Omega(n)$ is the number of prime
factors (with multiplicity) of $n$, then
\begin{equation*}
s_{k}(n) = \sum p_{i_{1}}\cdots p_{i_{k}},
\end{equation*}
where the sum is taken over all products of $k$ prime factors from
the set $\{p_{1}, \ldots , p_{r}\}$. We say $s_{k}$ is the $k^{th}$
prime symmetric function.

Note that if $\Omega(n) < k$, we have $s_{k}(n) = 0$.

There is an alternate way of defining the functions $s_{k}$. Given
$n = p_{1}\cdots p_{r} \in \mathbb{N}$, set
\begin{equation*}S_{n}(x) = \prod_{i=1}^{r}(x + p_{i}).
\end{equation*}
Then $s_{k}(n)$ is the coefficient of $x^{r-k}$ in $S_{n}(x)$. The
empty product is taken to be 1.

\noindent {\bf Example 1:} $s_{0}(12) = 1$, $s_{1}(12) = 2 + 2 + 3 =
7$, $s_{2}(12) = 2\cdot2 + 2\cdot3 + 2\cdot3 = 16$, $s_{3}(12) =
12$, and $s_{4}(12) = 0$.

Several good texts detailing the basic theory of perfect numbers
exist, see for instance ~\cite{dB76},~\cite{wD99},~\cite{gL82}, and
~\cite{jT99}. In addition, many variations on perfect numbers have
been defined and studied. For examples, see the remaining
references. We now define a new variation of perfect, defective, and
excessive numbers using the divisor functions $s_{k}$.

\noindent {\bf Definition 2:} Let $n \in \mathbb{N}$. If $s_{k}(n) <
n$, we say $n$ is $k$-symmetric-defective. If $s_{k}(n) > n$, we say
$n$ is $k$-symmetric-excessive. If $s_{k}(n) = n$, and $\Omega(n) =
k$, we say $n$ is trivially $k$-symmetric-perfect. If $s_{k}(n) =
n$, and $\Omega(n) > k$, we say $n$ is $k$-symmetric-perfect. If $n$
is $k$-symmetric-perfect or $k$-symmetric-excessive, we say $n$ is
$k$-symmetric-special.

\noindent {\bf Notation:} For the sake of brevity we write $k$-SD
for $k$-symmetric-defective, $k$-SP for $k$-symmetric-perfect,
$k$-SE for $k$-symmetric-excessive, and $k$-SS for
$k$-symmetric-special.

\noindent {\bf Example 2:} If $p$ is prime, then $p^{p}$ is a
$(p-1)$-SP number, since
\begin{equation*}
s_{p-1}(p^{p}) = \binom{p}{p-1}p^{p-1} = p^{p}.
\end{equation*}

In fact, this example has a form of converse:

\noindent {\bf Theorem 1:} The prime power $p^{\alpha}$ is $k$-SP if
and only if $\alpha=p$ and $k=p-1$.

\noindent {\it Proof.} We have seen that this is sufficient, now
suppose $k < \alpha$, and $s_{k}(p^{\alpha}) = p^{\alpha}$. Then
\begin{equation}\binom{\alpha}{k} = p^{\alpha - k}.
\end{equation}
For $1 < k  < \alpha - 1$, $\binom{\alpha}{k}$ is divisible by two
distinct prime factors, hence we must have $k = 1$ or $\alpha - 1$.
Now $4 = 2^{2}$, is the only $1$-SP number, and corresponds to the
case where $k = 1 = \alpha - 1$. Hence we may assume $k = \alpha -
1$, which from (1) implies that $\alpha = p$ and $k = p - 1$. This
proves the theorem.
\B

\noindent {\bf Definition 3:} A finite sequence $\{n_{0}, \ldots ,
n_{\ell}\}$ is called a $k$-cycle if the following conditions are
satisfied:
\begin{enumerate}

\item $\ell > 1$,

\item $n_0, \dots, n_{\ell-1}$ are distinct and $n_{\ell}=n_0$,
and

\item $s_k(n_i)=n_{i+1}$, for $i=0,1,\dots,\ell-1$.

\end{enumerate}

\vskip 30pt

\section*{\normalsize 2. Basic Properties of Prime Symmetric Functions}

The following proposition is an immediate consequence of the
definition.

\noindent {\bf Proposition 2:} If $n = p_{1}^{\alpha_{1}}\cdots
p_{r}^{\alpha_{r}}$, then
\begin{equation*}s_{k}(n) =
\sum_{\begin{array}{c}
i_1+\cdots+i_r=k \\
i_1,\,\dots,i_r\ge0
\end{array}
}\binom{\alpha_{1}}{i_{1}}\cdots\binom{\alpha_{r}}{i_{r}}p_{1}^{i_1}\cdots
p_{r}^{i_r}.
\end{equation*}

\noindent {\bf Proposition 3:}
\begin{equation*}s_{k}(mn) = \sum_{i=0}^{k}s_{k-i}(m)s_{i}(n).
\end{equation*}

\noindent {\it Proof.} If $m = 1$, or $n = 1$, the result is
immediate, as it is if $k = 0$. If $k > 0$, $m = p_{1}\cdots p_{r}$,
and $n = q_{1}\cdots q_{s}$, let
\begin{equation*}S = \{p_{1}, \ldots, p_{r}, q_{1}, \ldots,
q_{s}\}.
\end{equation*}
Then
\begin{equation*}s_{k}(mn) = \sum_{\{r_{1}, \ldots, r_{k}\}\subset S}r_{1} \cdots r_{k}.
\end{equation*}
We collect the terms of this sum having $k-i$ factors from $m$, and
$i$ factors from $n$. The sum of these is equal to $s_{k-i}(m)
s_{i}(n)$. Summing as $i$ ranges from $0$ to $k$ gives the desired
result.
\B

\noindent {\bf Corollary 4:} Let $n$, $k \in \mathbb{N}$, and let
$p$ and $q$ be primes, with $p < q$, and suppose $\Omega(pn) > k$.
If $pn - s_{k}(pn) > 0$, then $pn - s_{k}(pn) < qn - s_{k}(qn)$.

\noindent {\it Proof.} The following inequality
\begin{align*}qn - s_{k}(qn) &= qn - qs_{k-1}(n) - s_{k}(n)\\ &> pn - ps_{k-1}(n) -
s_{k}(n)\\ &= pn - s_{k}(pn)
\end{align*}
is true if $n > s_{k-1}(n)$. But
\begin{equation*}pn - s_{k}(pn) = pn - ps_{k-1}(n) - s_{k}(n) > 0
\end{equation*}
by assumption, so
\begin{equation*}n > s_{k-1}(n) + s_{k}(n)/p > s_{k-1}(n).
\end{equation*}
\B

In searching for $k$-cycles and $k$-SP numbers, it is essential to
know when $s_{k}(n) \geq n$. We search by fixing $\Omega(n)$, and
systematically checking all products of $\Omega(n)$ primes. The
corollary tells us that if $s_{k}(pn) < pn$, then for any $q > p$,
$qn$ is also $k$-SD.

\noindent {\bf Lemma 5:} Let $k$, $n \in \mathbb{N}$. Then there
exists an $r > k$ such that if $\Omega(n) \geq r$, then $n$ is
$k$-SD. Let $r(k)$ denote the least such $r$. Then
\begin{equation*}
r(k)=\min\{\,r\,:\,\binom{r}{k}<2^{r-k}\,\}\,.
\end{equation*}
\noindent {\it Proof.} There is an $r > k$ such that the function
\begin{equation*}f(t) = \binom{t}{k}
\end{equation*}
satisfies $f(t) < g(t)$ for all $t \geq r$, where
\begin{equation*}g(t) = 2^{t-k},
\end{equation*}
since $f$ is a polynomial, and $g$ is an exponential function. Now
suppose $t \geq r$, and let $p_{1}, \ldots, p_{t}$ be $t$ primes.
Then
\begin{align*}\binom{t}{k} = \binom{t}{t-k} &< 2^{t-k}, \text{ which
implies }\,\,
\sum\frac{1}{p_{i_{1}}\cdots p_{i_{t-k}}} \leq
\binom{t}{t-k}\frac{1}{2^{t-k}} < 1, \\
\end{align*}
where the sum is taken over all $i_1$, \dots, $i_{t-k}$ such that
$1\le i_1<\cdots< i_{t-k}\le t$. This implies
\begin{equation*}
\sum p_{i_{1}}\cdots p_{i_{k}} < p_1\cdots p_t,
\end{equation*}
where the sum is taken over all $i_1, \dots, i_k$ such that $1\le
i_1<\cdots< i_k\le t$. This in turn implies that
\begin{equation*}
s_{k}(p_1\cdots p_t) < p_1\cdots p_t.
\end{equation*}
Now we prove the second statement. The inequality
\begin{equation*}
\binom{2k}{k}\geq2^k
\end{equation*}
holds for all $k \geq 1$, and so $r(k)>2k$. This in mind, let $r(k)$
be as claimed in the statement of the theorem. We argue inductively.
Let $t>r$, and suppose that
\begin{equation*}
\binom{t-1}{k}<2^{t-1-k}.
\end{equation*}
Then
\begin{equation*}
2\binom{t-1}{k}<2^{t-k}.
\end{equation*}
Since $t>2k$, we have $t<2(t-k)$, and so
\begin{equation*}
\binom{t}{k}=\frac{t(t-1)\cdots(t-k+1)}{k!}<\frac{2(t-1)(t-2)\cdots(t-k)}{k!}=2\binom{t-1}{k}.
\end{equation*}
Hence
\begin{equation*}
\binom{t}{k}<2\binom{t-1}{k}<2^{t-k},
\end{equation*}
and the proof is complete by induction.
\B

The first few values of $r(k)$ are given in the following table:
\begin{center}
\begin{tabular}{|c|c|}
\hline $k$ & $r(k)$ \\ \hline 1 & 3 \\ \hline 2 & 6 \\ \hline 3 & 10
\\ \hline 4 & 14 \\ \hline 5 & 19 \\ \hline 6 & 23 \\ \hline 7 & 27
\\ \hline 8 & 31 \\ \hline 9 & 36 \\ \hline 10 & 40 \\ \hline
\end{tabular}
\end{center}

The properties of 1-symmetric-perfection etc. corresponding to the
first prime symmetric function $s_{1}$ are easily characterized. The
primes are the trivial 1-SP numbers, 4 is the only 1-SP number, and
all other numbers are 1-SD. Clearly there are no 1-cycles. We now
investigate these properties in the second prime symmetric function.

\vskip 30pt

\section*{\normalsize 3. The Second Prime Symmetric Function}

Let $n$ be an integer greater than 1. By a family $E_{k}(n, r)$ of
$k$-SS numbers, we mean a set
\begin{equation*}
E_{k}(n,r) = \{np_{1}\cdots p_{r} |p_{1}, \ldots , p_{r} \text{ are
primes} \}
\end{equation*}
such that if $m \in E_{k}(n, r)$, then $m$ is $k$-SS. The family
$E_{2}(4,1)$ of numbers of the form $4p$, where $p$ is prime, is one
such set, since the elements satisfy $s_{2}(4p) = 4p + 4 > 4p$.
$E_{k}(n, 0)$ merely denotes the singleton set of a $k$-SS number.
To find all 2-SP numbers and all 2-cycles we need to find all
numbers $n$ such that $2 < \Omega(n) < 6$, with $s_{2}(n) \geq n$,
since $r(2) = 6$. To do this we use the algorithm mentioned after
Corollary 4.

\subsection*{\normalsize 3.1. $\Omega(n) = 3$}

\begin{align*}s_{2}(2\cdot2\cdot p) &= 4p + 4 > 4p,\\
s_{2}(2\cdot3\cdot p) &= 5p + 6 < 6p, \text{ when $p > 6$.}
\end{align*}
This shows that there are no other infinite families of 2-SS numbers
satisfying $\Omega(n) = 3$. Below we find all 2-SS numbers not
belonging to this family.
\begin{align*}s_{2}(2\cdot3\cdot 3) &= 21 > 18,\\
s_{2}(2\cdot3\cdot 5) &= 31 > 30,\\
s_{2}(2\cdot3\cdot 7) &= 41 < 42,\\
s_{2}(3\cdot3\cdot 3) &= 27,\\
s_{2}(3\cdot3\cdot 5) &= 39 < 45.
\end{align*}
Thus 27 is the only 2-SP number satisfying $\Omega(n) = 3$.
Iterating on the above 2-SE numbers shows none belong to 2-cycles.
For example
\begin{equation*}18 \overset{s_{2}}{\longrightarrow} 21
\overset{s_{2}}{\longrightarrow} 10 \overset{s_{2}}{\longrightarrow}
10 \overset{s_{2}}{\longrightarrow} \cdots.
\end{equation*}

\subsection*{\normalsize 3.2. $\Omega(n) = 4$}

\begin{equation*}s_{2}(2\cdot2\cdot2\cdot p) = 6p + 12 < 8p, \text{ when $p
> 6$.}
\end{equation*}
Thus there are no infinite families of 2-SS numbers with $\Omega(n)
= 4$. Iterating on $8p$ for $p = 2$, 3, 5, shows that none belong to
a 2-cycle. Checking other cases:
\begin{align*}s_{2}(2\cdot2\cdot3\cdot3) &= 37 > 36,\\
s_{2}(2\cdot2\cdot3\cdot5) &= 51 < 60,\\
s_{2}(2\cdot3\cdot3\cdot3) &= 45 < 54.
\end{align*}

Hence there are no 2-SP numbers satisfying $\Omega(n) = 4$.
Iterating on the above 2-SE numbers shows that none belong to a
2-cycle.

\subsection*{\normalsize 3.3. $\Omega(n) = 5$}

\begin{equation*}s_{2}(2\cdot2\cdot2\cdot2\cdot p) = 8p + 24 < 16p, \text{ when $p
> 3$.}
\end{equation*}

Thus there are no infinite families of 2-SS numbers with $\Omega(n)
= 5$. Iterating on $16p$ for $p = 2$, 3, shows that 48 is in fact
2-SP, and 32, which is 2-SE, does not belong to a 2-cycle. Checking
other cases:
\begin{equation*}s_{2}(2\cdot2\cdot2\cdot3\cdot3) = 57 < 72.
\end{equation*}
Hence 48 is the only 2-SP number satisfying $\Omega(n) = 5$. We have
proved the following theorem.

\noindent {\bf Theorem 6:} 27 and 48 are the only 2-SP numbers.

\noindent {\bf Theorem 7:} There are no 2-cycles.

\noindent {\it Proof.} A 2-cycle must have a least element that is
2-SE. We have shown that any such element must belong to the family
of numbers of the form $4p$. We will show that in all but a few
trivial cases $s_{2}(s_{2}(4p)) < 4p$, giving a contradiction. Now,
$s_{2}(4p) = 8((p + 1)/2)$. We may assume that $p$ is odd, and set
$m = (p + 1)/2$. Thus we will have a contradiction if the following
holds:
\begin{equation*}s_{2}(8m) < 8m - 4.
\end{equation*}
This is equivalent to
\begin{equation}12 + 6s_{1}(m) + s_{2}(m) < 8m - 4,
\end{equation}
which is equivalent to
\begin{equation*}
\frac{16}{p_{1}\cdots p_{s}} + 6\sum_{i=1}^{s}\frac{1}{p_{1}\cdots
\hat{p_{i}}\cdots p_{s}} + \sum_{1\leq i<j\leq
s}\frac{1}{p_{1}\cdots \hat{p_{i}}\cdots \hat{p_{j}}\cdots p_{s}} <
8,
\end{equation*}
where $m = p_{1}\cdots p_{s}$. Here $p_{1}\cdots \hat{p_{i}}\cdots
p_{s}$ is defined to be $p_{1}\cdots p_{s}/p_{i}$, and $p_{1}\cdots
\hat{p_{i}}\cdots \hat{p_{j}}\cdots p_{s}$ is defined to be
$p_{1}\cdots p_{s}/p_{i}p_{j}$.

Since $p_{i} \geq 2$, this expression is implied by:
\begin{equation*}\frac{16}{2^{s}} + \frac{6s}{2^{s-1}} +
\frac{s(s-1)}{2}\frac{1}{2^{s-2}} < 8,
\end{equation*}
which holds for all $s \geq 4$. If $s = 1$, then $m = p$ is prime,
and so condition (2) becomes:
\begin{equation*}12 + 6p < 8p - 4,
\end{equation*}
which holds for all $p > 8$. It is easily verified for $p = 2$, 3, 5
and 7, that $8p$ does not belong to a 2-cycle.

For $s = 2$, we can write $m = pq$. The only values of $m$ for which
(2) fails are determined by the prime pairs $(p, q) = (2, 2)$, $(2,
3)$. In both cases, $8m$ does not belong to a 2-cycle.

Finally for $s = 3$, if $m = pqr$, only for the triple $(p, q, r) =
(2, 2, 2)$ does $m$ fail to satisfy (2). Again, in this case, $8m$
does not belong to a 2-cycle.
\B

\noindent {\bf Definition 4:} A sequence $\{n_{i}\}$ (finite or
infinite) is called a $k$-ascending sequence if $n_{i} <
s_{k}(n_{i}) = n_{i+1}$. If $\{n_{i}\} = \{n_{i}\}_{i=0}^{t}$, then
$\{n_{i}\}$ is said to have length $t$.

\noindent {\bf Remark:} The longest 2-ascending sequence is
\begin{equation*}8 \overset{s_{2}}{\longrightarrow} 12
\overset{s_{2}}{\longrightarrow} 16 \overset{s_{2}}{\longrightarrow}
24 \overset{s_{2}}{\longrightarrow} 30
\overset{s_{2}}{\longrightarrow} 31.
\end{equation*}

\noindent {\bf Definition 5:} Let $k \in \mathbb{N}\cup\{0\}$. We
define $r_{k}:\mathbb{N} \rightarrow \mathbb{N}\cup\{0\}$ by
\begin{equation*}r_{k}(n) = |\{s_{k}^{-1}[\{n\}]|
\end{equation*}

\noindent {\bf Example 3:} $r_{1}(1) = 0$, but for all $n \geq 2$,
$r_{1}(n) \geq 1$. In fact, $\lim_{n \to \infty} r_{1}(n) = \infty$.
To see this, simply set
\begin{equation*}n = s_{1}(2^{a}3^{b}) = 2a + 3b,
\end{equation*}
and observe that the number of pairs $(a, b)$ satisfying this
equation can be made arbitrarily large for all $n$ sufficiently
large.

We prove a weaker result for $r_{2}$.

\noindent {\bf Theorem 8:} There exists an $N \in \mathbb{N}$ such
that for all $m \geq N$, $r_{2}(m) \geq 1$.

\noindent {\it Proof.} It suffices to show that for $m$ sufficiently
large, $m = s_{2}(2^{a}3^{b}5^{c}7^{d})$, for some $a$, $b$, $c$,
and $d \geq 0$. In general,
\begin{align*}s_{2}(2^{a}3^{b}5^{c}7^{d}) &= 4\binom{a}{2} + 9\binom{b}{2}
+ 25\binom{c}{2} + 49\binom{d}{2}\\\notag &+
6\binom{a}{1}\binom{b}{1} + 10\binom{a}{1}\binom{c}{1} +
14\binom{a}{1}\binom{d}{1}\\\notag &+ 15\binom{b}{1}\binom{c}{1} +
21\binom{b}{1}\binom{d}{1} + 35\binom{c}{1}\binom{d}{1}\\ &=
\frac{1}{2}\left[(2a + 3b + 5c + 7d)^{2} - (4a + 9b + 25c +
49d)\right]
\end{align*}
So, given $m$, we need only find solutions to the equations:
\begin{align*}2a + 3b + 5c + 7d &= R,\\
4a + 9b + 25c + 49d &= R^{2} - 2m,
\end{align*}
with nonnegative integers $a, b, c, d$, and $R \in \mathbb{N}$.
These equations are equivalent to:
\begin{alignat}{2}2a - 10&c - 28&d &= 3R - R^{2} + 2m,\\
3b + 15&c + 35&d &= R^{2} - 2R - 2m,
\end{alignat}
Since $a$ and $b$ must be nonnegative integers, we have the
following necessary and sufficient conditions for a solution to (3)
and (4):
\begin{enumerate}\item $2m  \equiv R^{2} + R + d$ (mod 3), \item $R^{2} -
3R - 10c -28d \leq 2m$, \item $2m \leq R^{2} - 2R - 15c - 35d$.
\end{enumerate}
Note that equation (3) is always satisfied modulo 2. Condition 1
results from taking equation (4) modulo 3, and conditions 2 and 3
are derived from the fact that $a, b \geq 0$.

Consider the interval
\begin{equation*}
I_{R}(c, d) = [R^2 - 3R - 10c -28d, R^{2} - 2R - 15c - 35d].
\end{equation*}
For fixed $d$, let $c_{R}(d)$ be the least $c$ such that
$\ell(I_{R}(c, d)) < 15$, where $\ell(I)$ denotes the length of an
interval $I$. We use the notation $L(I)$ and $R(I)$ to denote the
left and right endpoints of an interval $I$, respectively. Since
$R(I_{R}(c, d)) = R(I_{R}(c + 1, d)) + 15$, when they exist, we have
that
\begin{equation*}
\bigcup_{c=0}^{c_{R}(d)}I_{R}(c, d) = [R^{2} - 3R - 10c_R(d) - 28d,
R^{2} - 2R - 35d].
\end{equation*}
Denote the above interval by $\mathcal{I}_R(d)$. By definition of
$c_R(d)$,
\begin{align*}
\ell(I_R(c_R(d), d)) &= R - 5c_R(d) - 7d < 15, \text{ so }\,\,
-10c_R(d) < -2R + 30 + 14d,
\end{align*}
and $c_R(d)$ is the least such $c$. Consider the interval
$\bigcap_{d=0}^{2}\mathcal{I}_R(d)$. Clearly
$R(\bigcap_{d=0}^{2}\mathcal{I}_R(d)) = R^2-2R-70$. We now wish to
find an upper bound for $L(\bigcap_{d=0}^{2}\mathcal{I}_R(d))$. From
the above inequality, we have that
\begin{equation*}
L(\mathcal{I}_R(d))=R^2 - 3R - 10c_R(d) - 28d<R^2-5R-14d+30.
\end{equation*}
Thus
\begin{align*}
L(\bigcap_{d=0}^{2}\mathcal{I}_R(d))&=\text{max}\{R^2 - 3R -
10c_R(d) -
28d|d=0,1,2\}\\&<\text{max}\{R^2-5R-14d+30|d=0,1,2\}\\&=R^2-5R+30.
\end{align*}

Let $J_R=[R^2-5R+30,R^2-2R-70]$. Then
$J_R\subset\bigcap_{d=0}^{2}\mathcal{I}_R(d)$. Now
\begin{align*}L(J_{R+1})&\leq R(J_R), \text{ if and only
if } R^2-3R+26\leq R^2-2R-70,
\end{align*}
which holds for all $R\geq 96$. So if $2m \geq L(J_{96})=8766$, then
there is an $R\geq 96$ such that $2m \in
J_R\subset\bigcap_{d=0}^{2}\mathcal{I}_R(d)$. Choose $d \in
\{0,1,2\}$ such that condition 1 is satisfied. Since $2m \in
\mathcal{I}_R(d)$, there is a $c\geq 0$ such that $2m \in I_R(c,d)$.
For these values of $R$, $c$, and $d$, conditions 2 and 3 are
satisfied. In other words, there exists an $n$ such that $m=s_2(n)$.
This completes the proof.
\B

We end this section with a conjecture.

\noindent {\bf Conjecture 1:} For every $k \in \mathbb{N}$, $\lim_{n
\to \infty} r_{k}(n) = \infty$.

\vskip 30pt

\section*{\normalsize 4. Higher Prime Symmetric Functions}

\noindent {\bf Theorem 9:} (1) Let $n \in \mathbb{N}$. If $n$ is
$k$-SS then $pn$ is $(k+1)$-SE for every prime $p$.

\hskip 55pt
(2) If $pn$ is $(k+1)$-SS for every prime $p$, then $n$ is $k$-SS,
and hence by (1),
\vskip -10pt \hskip 74pt
 $pn$ is $(k+1)$-SE for every prime $p$.

\noindent {\it Proof.} (1) Suppose $n$ is $k$-SS. Then since
$\Omega(n) > k$, we have $s_{k+1}(n) > 0$. So
\begin{align*}s_{k+1}(pn) &= ps_{k}(n) + s_{k+1}(n)\\ &\geq pn +
s_{k+1}(n)\\ &> pn.
\end{align*}
(2) If $s_{k+1}(pn) = ps_{k}(n) + s_{k+1}(n) \geq pn$, for every
prime $p$, then $s_{k}(n) \geq n - s_{k+1}(n)/p$. Letting $p
\rightarrow \infty$, we have $s_{k}(n) \geq n$.
\B

\noindent {\bf Corollary 10:} For $k \in \mathbb{N}$, there are only
finitely many $k$-SP numbers.

\noindent {\it Proof.} By the previous theorem, any family
$E_{k+1}(n, r+1)$ is of the form $pE_{k}(n, r)$, where $p$ ranges
over the primes. Furthermore, this family contains only $(k+1)$-SE
numbers. There are only finitely many $(k+1)$-SS numbers not
belonging to any such family.
\B

Thus the infinite families of $3$-SE numbers are: $E_{3}(4, 2)$,
$E_{3}(16, 1)$, $E_{3}(18, 1)$, $E_{3}(24, 1)$, $E_{3}(27, 1)$,
$E_{3}(30, 1)$, $E_{3}(32, 1)$, $E_{3}(36, 1)$, $E_{3}(40, 1)$,
$E_{3}(48, 1)$.

By exhaustive search (as was done with $k = 2$), all other 3-SS
numbers can be found. They constitute the following set:
\begin{align*}
&\{42p | p = 7, 11, \ldots , 41\} \cup \{56p | p = 7, 11, \ldots ,
43\} \cup \{64p | p = 2, 3, \ldots , 37\} \cup\\ &\{726, 858, 250,
350, 225, 315, 968, 1144, 300, 420, 162, 270, 378, 243, 400, 560,\\
& 216, 360, 504, 324, 288, 480, 672, 432, 256, 384, 640, 576, 512,
768\}.
\end{align*}
None of the elements in the above sets are $3$-SP, hence there are
no $3$-SP numbers. The diversity of possible $3$-ascending sequences
makes it difficult to rule out the existence of $3$-cycles as we did
$2$-cycles. This is illustrated in the following example.

\noindent {\bf Example 4:} If $p_{1}$, $q_{1}$ are odd primes, then
$s_{3}(4p_{1}q_{1}) = 4(p_{1}q_{1} + p_{1} + q_{1})$. It is possible
that $p_{1}q_{1} + p_{1} + q_{1} = p_{2}q_{2}$, where $p_{2}$,
$q_{2}$ are again odd primes, and so on. Several such sequences
exist the longest one with $p_{1}q_{1} < 50000$, and $p_{i}, q_{i} >
3$ is:
\begin{alignat*}{3}184892 &= 4\cdot17\cdot2719
\overset{s_{3}}{\longrightarrow} 195836 &= 4\cdot173\cdot283
\overset{s_{3}}{\longrightarrow} 197660 &= 4\cdot5\cdot9883\\
\overset{s_{3}}{\longrightarrow} 237212 &= 4\cdot31\cdot1913
\overset{s_{3}}{\longrightarrow} 244988 &= 4\cdot73\cdot839
\overset{s_{3}}{\longrightarrow} 248636 &= 4\cdot61\cdot1019\\
\overset{s_{3}}{\longrightarrow} 252956 &= 4\cdot11\cdot5749
\overset{s_{3}}{\longrightarrow} 275996 &= 4\cdot7\cdot9857
\overset{s_{3}}{\longrightarrow} 315452 &= 4\cdot17\cdot4639\\
\overset{s_{3}}{\longrightarrow} 334076 &= 4\cdot47\cdot1777
\overset{s_{3}}{\longrightarrow} 341372 &= 4\cdot31\cdot2753
\overset{s_{3}}{\longrightarrow} 352508 &= 4\cdot13\cdot6779\\
\overset{s_{3}}{\longrightarrow} 379676 &= 4\cdot11\cdot8629
\overset{s_{3}}{\longrightarrow} 414236 &= 4\cdot29\cdot3571
\overset{s_{3}}{\longrightarrow} 428636 &= 4\cdot13\cdot8243\\
\overset{s_{3}}{\longrightarrow} 461660 &= 4\cdot5\cdot41\cdot563.
\end{alignat*}

It seems highly unlikely, however, that a 3-ascending sequence be
infinite. This is part of our final conjecture:

\noindent {\bf Conjecture 2:} Any $k$-ascending sequence is finite.

\vskip 30pt
\small
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\end{document}
