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Carnielli 2011 adjusting conjecture erdos
conjecture_4: Carnielli and Carolino's adjusted conjecture: for each integer d >= 1 there is C_d > 0 such that any n unit vectors in a real Hilbert space of dimension d have at least C_d 2^n/n^{d/2} sign sums of norm at most sqrt(d); the paper leaves it open.
lemma_2: Carnielli and Carolino's counterexample: n unit vectors made of m_j copies of the j-th of d orthonormal vectors, every m_j odd, have every sign sum of norm at least sqrt(d), so for d at least 2 none lies in the closed unit ball.
proposition_3: Carnielli and Carolino's proposition that for each d >= 1 there are arbitrarily large n and unit vectors v_1,...,v_n in R^d with no sign sum of norm below sqrt(d) and only O(2^n/n^{d/2}) sign sums of norm sqrt(d).
proposition_8: Carnielli and Carolino's weak form of their Conjecture 4: for each integer d >= 1 there is C_d > 0 such that for any n unit vectors in a d-dimensional inner product space some ball of radius sqrt(d), centred at most 2 sqrt(n) from the origin, holds at least C_d 2^n/n^{d/2} of their sign sums.
Carnielli, Walter and Carolino, Pietro K., Adjusting a conjecture of Erdős. Contrib. Discrete Math. 6 (2011), no. 1, 154--159.
Erdős's 1945 paper ended with the conjecture that for unit vectors in an inner product space at least of the sign sums have norm at most , sign sums being counted with multiplicity (pp. 154--155). The authors disprove it: taking an odd number of copies of each of orthonormal vectors (Lemmas 1 and 2, p. 155) forces every sign sum to have norm at least , so for no sum lies in the unit ball. Proposition 3 (p. 156) quantifies this: for arbitrarily large only sign sums have norm and none less, so for far fewer than sums have norm at most ; the authors add, without proof, that for no radius independent of restores the rate . They therefore propose Conjecture 4 (p. 156): in a real Hilbert space of dimension at least sign sums have norm at most . Dimension is the only case keeping the rate , and the authors regard it as hard. In Section 3 a Chebyshev inequality for vectors (Lemma 6) and the computation that the sign sums have average and variance (Lemma 7, p. 157) show that at least of the sums have norm below (p. 158), and a volume and pigeonhole argument gives Proposition 8 (p. 158): some ball of radius with centre at most from the origin contains at least of the sums, which the paper calls a weak version of Conjecture 4, the full conjecture asking for the ball centred at the origin.
Source: https://cdm.ucalgary.ca/article/view/62011. The file prints "© 2011 University of Calgary" at the foot of p. 154 and names no reuse license; the journal's article page was not consulted, every other right reserved.
Read status: claims checked for Lemmas 1 and 2, Proposition 3, Conjecture 4, Definition 5, Lemmas 6 and 7 and Proposition 8, read clause by clause on the print, with the proofs followed. Nothing here is independently reviewed.
Bears on. #395: the problem's statement is the case of Conjecture 4 (p. 156), which the paper poses and leaves open. Lemma 2 (p. 155) with gives, for every even , unit vectors in the plane with no sign sum of norm at most , so Erdős's radius fails; the paper does not know whether radius holds for odd (p. 157). Proposition 3 with gives configurations with only sign sums of norm at most , and Proposition 8 with gives sign sums in a disc of radius centred within of the origin, not at it.
Results.
- Lemmas 1 and 2 (p. 155): with odd multiplicities of orthonormal vectors, every sign sum has norm at least .
- Proposition 3 (p. 156): for each and arbitrarily large , unit vectors in with no sign sum of norm below and only of norm .
- Conjecture 4 (p. 156): the adjusted conjecture, at least sign sums of norm at most in dimension .
- Proposition 8 (p. 158), with Definition 5 and Lemmas 6 and 7 (p. 157): some ball of radius centred within of the origin holds at least sign sums.
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