Weighted Gaussian entropy and determinant inequalities

I. Stuhl, M. Kelbert, Y. Suhov, S. Yasaei Sekeh

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


We produce a series of results extending information-theoretical inequalities (discussed by Dembo–Cover–Thomas in 1988–1991) to a weighted version of entropy. Most of the resulting inequalities involve the Gaussian weighted entropy; they imply a number of new relations for determinants of positive-definite matrices. Unlike the Shannon entropy where the contribution of an outcome depends only upon its probability, the weighted (or context-dependent) entropy takes into account a ‘value’ of an outcome determined by a given weight function φ. An example of a new result is a weighted version of the strong Hadamard inequality (SHI) between the determinants of a positive-definite d× d matrix and its square blocks (sub-matrices) of different sizes. When φ≡ 1 , the weighted inequality becomes a ‘standard’ SHI; in general, the weighted version requires some assumptions upon φ. The SHI and its weighted version generalize a widely known ‘usual’ Hadamard inequality detC≤∏j=1dCjj.

Original languageEnglish (US)
Pages (from-to)85-114
Number of pages30
JournalAequationes Mathematicae
Issue number1
StatePublished - Feb 2022

All Science Journal Classification (ASJC) codes

  • General Mathematics
  • Discrete Mathematics and Combinatorics
  • Applied Mathematics


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