Suppose, for an unknown quantity x &#x2208;<!-- ∈ --> ( 0 , 1 ) you observe

Brody Lambert

Brody Lambert

Answered question

2022-06-03

Suppose, for an unknown quantity x ( 0 , 1 ) you observe the signs (positive, negative or zero) of all possible quantities of the form a n x n where a n { 1 , 1 , 0 } for n { 0 , 1 , 2 , 3... }
Of course, if you encounter something like x = 0 or x 2 + x = 0 among the system of (in)equalities, you can find a unique solution for x.
But, can you always find a unique solution for x from there given the infinite set of (in)equalities at your disposal? Or is there a counter-example?

Answer & Explanation

Chandler Hurley

Chandler Hurley

Beginner2022-06-04Added 4 answers

You cannot distinguish between values less than 1 / 2 (including 1 / 2 if all your polynomials are finite). The key idea is that 1 / 2 = 1 / 4 + 1 / 8 + 1 / 16 + . More formally, if 0 < x 1 / 2, then
x k > x k + 1 + x k + 2 + + x k + m | a k + 1 x k + 1 + a k + 2 x k + 2 + + a k + m x k + m | .
for any finite value of m. Thus the sign of a n x n is just the sign of the first nonzero value of an (in the list a 0 , a 1 , a 2 , ), regardless of where x falls between 0 and 1 / 2, because the first term of the polynomial is sufficiently "heavy" to override all the rest of the terms.
If x > 1 / 2, then I think you should be able to uniquely determine x from the signs of the polynomials. This follows from the following claim: for each x in ( 1 / 2 , 1 ), there exists an infinite sequence a 0 , a 1 , a 2 , such that
lim i n = 0 i a n x n = 0 ,  and
lim i n = 0 i a n y n 0   (if the limit even exists) if  y x .
Such a sequence can be generated using the greedy-type algorithm, and the proof is very similar to the proof that x < 1 / 2 fails except the other way around. If x > 1 / 2 then each individual term can be outweighed by finitely many future terms in the opposite direction. So a greedy algorithm (by growing the list one term at a time by picking whatever sign brings you closer to 0) will bring the partial sums closer and closer to 0 over time.

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