Number theory always surprises by the seemingly simple questions which turn out to be extremely hard or maybe even impossible to answer. One such question concerns perfect powers of the type
xn
where both x and n are natural numbers. Can we say, which numbers can be expressed as perfect powers? If we don't further restrict n then the answer is simple. Any number x can be represented as x1. So that means the set of numbers that can be represented as perfect powers is the complete set . So this question is boring.
But what if we exclude these trivial powers and say that n must be greater than 1? The list of these numbers is the sequence A001597 in OEIS. On the right is a plot of the first 100 of these numbers an. As you can see, the numbers seem to grow more than linearly. In fact for large numbers they seem to grow with n2. This seems to suggest that the gaps between two consecutive numbers also needs to grow. This is intuitively right. As the numbers grow, there are less and less candidates that could produce perfect powets.
But how large are the gaps exactly? More interestingly, as the gaps grow larger, do we still encounter some small gaps? The plot on the left shows the differences gn between two consecutive elements of the sequence plotted against the smaller number for the first 1000 or so numbers
gn = an + 1 − an,
i.e. we're plotting gn against an. It can be seen that most of the gn seem to lie close to a curve given by
which also limits the gn. This simple form is amazing at first, however it becomes quite clear when one looks at just the square numbers x2. If an is a square number then is also a perfect square. The difference between the two numbers is . Only few numbers seem to depart from this behaviour and have a lot smaller values. This always happens when there is at least perfect power, that is not a square, between two perfect squares.
So we have an upper bound for the gn. But is there a lower bound for the gn that increases with n. Or does gn always have excursions to small numbers? Let's look first at the smallest possible value gn = 1.
Catalan's theorem makes a statement about this particular case. It says that there is only one n for which gn = 1, or in the full notation
xn − ym = 1 has only one solution, which is 32 − 23 = 1
Until 2002 this was Catalan's conjecture but then it was proven by Preda Mihăilescu. Long before this proof Pillai generalised the the Catalan conjecture and speculated about the solutions of the equation
xn − ym = c for c > 1
The graph above seems to suggest that for c = 2 there is also just one solution
33 − 52 = 2
but to my knowledge this has not been proven. Pillai's conjecture now states that for any value of c, the above equation only has a finite number of solutions. This means that the gaps in the sequence of perfect powers not only grow, but there is some increasing lower bound for the gaps as well. Erdos went one step further and conjectured that this lower bound is given by
gn < nk
where k is a fixed constant which is greater than one.
From the plot of the first million gaps this does not immediately seem obvious. The figure shows the plot of the gaps gn against n for n up to 106 on a double-logarithmic scale. Although the lower bound does seem to grow, the value of the parameter k of the Erdos formula, of roughly 0.22 (green line), is determined by a single outlier at a384026 = 143384152921 and g384026 = 17. Almaost all other values of gn lie well above the Erdos curve. Only one other point comes close to the limiting curve at g745174 = 24
One more interesting feature that can be seen are strange lines in the plot that slope at a slightly lower exponent of about 2 / 3. This suggests that there is some hidden structure in the seemingly random behaviour of the gn. Another feature, which I noticed when plotting the gn is that there seem to be islands of regularity.
If we zoom in to the region from to we get the following plot. Most points are again crowded around the upper limit but the others have the very regular shape of two parabolas intersecting each other.
As you can see, even formulas that seem simple can have surprisingly rich behaviour and open up very difficult problems.
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