Subpolynomial refinement of the matrix-norm bound for the Mertens function

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Let μ(k)\mu(k) be the Möbius function and let

M(n)=∑1≤k≤nμ(k)M(n)=\sum_{1\leq k\leq n}\mu(k)

be the Mertens function. Let M=(Mn)n∈N∗\mathcal{M}=\left(\mathcal{M}_n\right)_{n\in\mathbb{N}^*} be the sequence of symmetric square matrices constructed in the paper, satisfying ∣M(n)∣≤∥Mn∥|M(n)|\leq\|\mathcal{M}_n\| for every n∈N∗n\in\mathbb{N}^*, where ∥⋅∥\|\cdot\| denotes the matrix 22-norm. Matrix-norm growth conjecture. For every ϵ>0\epsilon>0,

∥Mn∥=O(n1/2+ϵ).\|\mathcal{M}_n\|=O\left(n^{1/2+\epsilon}\right).

The conjecture is motivated by numerical experiments on the matrix sequence. Since the matrix norm majorizes ∣M(n)∣|M(n)|, such a bound would yield the corresponding growth estimate for the Mertens function, which is equivalent to the Riemann hypothesis; the paper does not establish the conjectured estimate.

References

Primary source

Jean-Paul Cardinal, “Une suite de matrices symétriques en rapport avec la fonction de Mertens”, arXiv:0807.4145 (2016).

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