A random matrix approach to the Peterson-Thom conjecture
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2022/01/01
-
Indian UGC (journal)
-
Citations2
-
Ben Hayes
Cite
Hayes, Ben. “A Random Matrix Approach to the Peterson-Thom Conjecture”. Indiana University Mathematics Journal, vol. 71, no. 3, 2022, pp. 1243-97, https://doi.org/10.1512/iumj.2022.71.9386.
Hayes, B. (2022). A random matrix approach to the Peterson-Thom conjecture. Indiana University Mathematics Journal, 71(3), 1243-1297. https://doi.org/10.1512/iumj.2022.71.9386
Hayes, Ben. “A Random Matrix Approach to the Peterson-Thom Conjecture”. Indiana University Mathematics Journal 71, no. 3 (2022): 1243-97. https://doi.org/10.1512/iumj.2022.71.9386.
Hayes B. A random matrix approach to the Peterson-Thom conjecture. Indiana University Mathematics Journal. 2022;71(3):1243-97.
Journal Category
Science
Mathematics
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Matrix concentration inequalities and free probability | Inventiones mathematicae |
| 2 | 2023 |
A short note on strong convergence of q-Gaussians | International Journal of Mathematics |
| 2023 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Science: Mathematics | 2 |
The category
Science: Mathematics 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A short note on strong convergence of q-Gaussians and was published in 2023. The most recent citation comes from a 2023 study titled A short note on strong convergence of q-Gaussians. This article reached its peak citation in 2023, with 2 citations. It has been cited in 2 different journals. Among related journals, the International Journal of Mathematics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.