Let $A$ be a $N\times N$-matrix with elements $$ a_{ii}=1 \quad\text{and}\quad a_{ij} = \frac{1}{ij} \quad\text{for}~ i\neq j. $$ Then $A$ is positive-definite, as can be easily seen from $$ x^T A x = \sum_i x_i^2 + \sum_{i \neq j} \frac{x_i x_j}{ij} \geq \sum_i \frac{x_i^2}{i^2} + \sum_{i \neq j} \frac{x_i x_j}{ij} = \left(\sum_i \frac{x_i}{i}\right)^2 \geq 0. $$
Assume now that $A$ is a real symmetric $N\times N$-matrix with elements $$ \tag{1} a_{ii}=1 \quad\text{and}\quad 0 \leq a_{ij} \leq \frac{1}{ij} \quad\text{for}~ i\neq j. $$
Is it possible to show that $A$ is also positive-definite (or positive-semidefinite)?
It is quite easy to obtain the result if $N$ is not large (e.g., $N \leq 4$) by estimating the corresponding leading principal minors. However, the case of arbitrary $N$ is unclear.
This question is a refinement of my previous question, where the assumption $(1)$ was weakened by assuming $|a_{ij}| \leq \frac{1}{ij}$ for $i \neq j$. Under this weaker assumption, a counterexample was presented in a comment.
In another related question, the assumption $(1)$ was weakened by assuming $0 \leq |a_{ij}| \leq 1$ for $i \neq j$, and a counterexample was also given. However, a similar construction does not seem to work in the case of the assumption $(1)$.
