law in random matrix theory
C62680
concept
A law in random matrix theory is a probabilistic rule or theorem that characterizes the limiting distribution or statistical behavior of eigenvalues or related quantities of large random matrices.
All labels observed (4)
| Label | Occurrences |
|---|---|
| distribution in random matrix theory | 1 |
| law in random matrix theory canonical | 1 |
| phase transition in random matrix theory | 1 |
| theorem in random matrix theory | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: law in random matrix theory
Generated description
A law in random matrix theory is a probabilistic rule or theorem that characterizes the limiting distribution or statistical behavior of eigenvalues or related quantities of large random matrices.
Instances (4)
| Instance | Via concept surface |
|---|---|
| Wigner semicircle law | theorem in random matrix theory |
| Marchenko–Pastur law | — |
| Tracy–Widom distribution | distribution in random matrix theory |
| BBP phase transition | phase transition in random matrix theory |