đ-law for random block matrices under the generalized Lindeberg condition
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Vyacheslav L. Girko
Abstract
The V-law under generalized Lindeberg condition for the independent blocks of random matrices having double stochastic matrix of covariances and different expectations of their array is proven.
References
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© 2019 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- HyersâUlam stability for coupled random fixed point theorems and applications to periodic boundary value random problems
- Internal stabilization of stochastic 3D NavierâStokesâVoigt equations with linearly multiplicative Gaussian noise
- V-density for eigenvalues of random block matrices with independent blocks whose entries have different variances and expectations
- The RESPECT method. Simple proof of finding estimates from below for minimal singular eigenvalues of random matrices whose entries have zero means and bounded variances
- đ-law for random block matrices under the generalized Lindeberg condition
- Continuous distributions whose functions preserve tails of an đŽ-continued fraction representation of numbers
Artikel in diesem Heft
- Frontmatter
- HyersâUlam stability for coupled random fixed point theorems and applications to periodic boundary value random problems
- Internal stabilization of stochastic 3D NavierâStokesâVoigt equations with linearly multiplicative Gaussian noise
- V-density for eigenvalues of random block matrices with independent blocks whose entries have different variances and expectations
- The RESPECT method. Simple proof of finding estimates from below for minimal singular eigenvalues of random matrices whose entries have zero means and bounded variances
- đ-law for random block matrices under the generalized Lindeberg condition
- Continuous distributions whose functions preserve tails of an đŽ-continued fraction representation of numbers
