◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Philipp J. di Dio

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.CA2
  • math.FA2
ORCID 0000-0002-0457-5843

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

math.FA2024

Absolutely Continuous Representing Measures of Moment Sequences with an Emphasis on the Regularity of the Densities

Philipp J. di Dio

In this work we investigate and characterize linear functionals L:R[x1​,…,xn​]→R with absolutely continuous representing measures μ, i.e., $\mathrm{d}μ(…

math.FA2024

K-Positivity Preservers and their Generators

Philipp J. di Dio, Konrad Schmüdgen

We study K-positivity preservers with given closed K⊆Rn, i.e., linear maps T:R[x1​,…,xn​]→R[x1​,…,xn​] such that $T\mathrm{Pos}(…

math.CA2024

An Introduction to T-Systems -- with a special Emphasis on Sparse Moment Problems, Sparse Positivstellensätze, and Sparse Nichtnegativstellensätze

Philipp J. di Dio

These are the lecture notes based on [dD23] for the (upcoming) lecture "T-systems with a special emphasis on sparse moment problems and sparse Positivstellensätze" in the summer se…

math.CA2023

The Early History of Moment Problems and Non-Negative Polynomials with Gaps: Sparse Moment Problems, Sparse Positivstellensätze, and Sparse Nichtnegativstellensätze from a T-System Point of View

Philipp J. di Dio

We deal with and investigate sparse univariate Positivstellensätze, Nichtnegativstellensätze, and solutions to sparse moment problems. The paper relies heavily on results on T-syst…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.