Krylov complexity and orthogonal polynomials

Wolfgang Mück*, Yi Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


Krylov complexity measures operator growth with respect to a basis, which is adapted to the Heisenberg time evolution. The construction of that basis relies on the Lanczos algorithm, also known as the recursion method. The mathematics of Krylov complexity can be described in terms of orthogonal polynomials. We provide a pedagogical introduction to the subject and work out analytically a number of examples involving the classical orthogonal polynomials, polynomials of the Hahn class, and the Tricomi-Carlitz polynomials.

Original languageEnglish
Article number115948
JournalNuclear Physics B
StatePublished - Nov 2022


Dive into the research topics of 'Krylov complexity and orthogonal polynomials'. Together they form a unique fingerprint.

Cite this