arXiv subjects
Publications and source records attributed to Paul Nelson.
In this paper we prove a new subconvexity result for the standard L-function of a unitary cuspidal automorphic representation $\pi$ of $\text{GL}_n$, where the finite set of places $S$ with large conductors is allowed to vary, provided that the local parameters at every place in $S$ satisfy certain uniform growth condition.
In this paper we study the subconvexity problem for the Rankin-Selberg L-function and triple product L-function, allowing joint ramifications and conductor dropping range. We first extend the method of Michel-Venkatesh to reduce the bounds for L-functions to local conjectures on test vectors, then verify these local conjectures under certain conditions, giving new subconvex bounds as long as the representations are not completely related.
Certain modeling assumptions underlying Probabilistic Risk Assessment (PRA) allow a simple computation of core damage frequency (CDF). These assumptions also guarantee that the time remaining until a core damage event follows an exponential distribution having parameter value equal to that computed for the CDF. While it is commonly understood that these modeling assumptions lead to an approximate characterization of uncertainty, we offer a simple argument that explains why the resulting exponential time until core damage distribution under-estimates risk. Our explanation will first review operational physics properties of hazard functions, and then offer a non-measure-theoretic argument to reveal the the consequences of these properties for PRA. The conclusions offered, here, hold for any possible operating history that respects the underlying assumptions of PRA. Hence, the measure-theoretic constructs on filtered probability spaces is unnecessary for our developments. We will then conclude with a brief discussion that connects intuition with our analytical development.