Discrete moments of the Riemann zeta function
Bibliographic record
Abstract
An important problem in number theory is to calculate the moments of the Riemann zeta function $\zeta (s)$. Moments have a wide range of applications, for example in calculating proportions of non-trivial zeros $\rho = \beta + i\gamma$ of $\zeta (s)$ that satisfy the Riemann Hypothesis, or that are simple. Shanks [280] noticed that $\zeta' (\rho)$ is real and positive on average, a strange result when we consider that this is a complex-valued function summed over complex points. Later, it was noticed that this peculiar behaviour continued to higher derivatives, where the sum remains real on average, but oscillates positive and negative depending on whether the order of the derivative is odd or even. Generalisations of this observation are considered throughout this thesis. These involve sums of the form \[ \sum_{0 < t \leq T} \zeta^{(n_1)} \left( \frac{1}{2} + it \right) \dots \zeta^{(n_k)} \left( \frac{1}{2} + it \right), \] where for integers $n_1,\dots,n_k$, $t$ ranges over either the non-trivial zeros of zeta or the zeros of the derivative of the Hardy $Z$-function, and $\zeta^{(n)}$ denotes the $n$\textsuperscript{th} derivative of $\zeta (s)$. After a comprehensive background on the zeta function, we begin with a simple heuristic for Shanks' observation and its generalisation, giving a clear reason for the oscillating behaviour before giving a rigorous proof of this fact with a full asymptotic expansion. A weighted first moment of this problem is then considered. We build on the analogy between characteristic polynomials of random matrices and $\zeta (s)$, first noted by Keating and Snaith [211]. We present new conjectures for full asymptotic expansions of the above summation over the non-trivial zeros of $\zeta (s)$ after giving other supporting evidence for the leading order behaviour of these sums. Finally we consider the above sum over the zeros $\lambda$ of the derivative of the Hardy $Z$-function, and show that the behaviour of this sum oscillates in the opposite way to that over the non-trivial zeros, that is, $\zeta' (1/2 + i\lambda)$ is real and negative on average.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".