A. A. Shkalikov
Moscow State University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by A. A. Shkalikov.
Integral Equations and Operator Theory | 1993
Peter Lancaster; A. A. Shkalikov; Qiang Ye
Selfadjoint linear pencils ΛF−G are considered which have discrete spectrum and neither F nor G is definite. Several characterizations are given of a “strongly definitizable” property when F and G are bounded, and also when both operators are unbounded. The theory is applied to analysis of the stability of a linear second order initial-boundary value problem with boundary conditions dependent on the eigenvalue parameter.
Mathematical Notes | 2001
A. M. Savchuk; A. A. Shkalikov
AbstractSuppose that u(x) is a function of bounded variation on the closed interval [0,π], continuous at the endpoints of this interval. Then the Sturm—Liouville operator Sy=−y″+q(x) with Dirichlet boundary conditions and potential q(x)=u′(x) is well defined. (The above relation is understood in the sense of distributions.) In the paper, we prove the trace formula
Proceedings of the Steklov Institute of Mathematics | 2010
A. A. Shkalikov
Mathematical Notes | 1999
J. Ben Amara; A. A. Shkalikov
\sum\limits_{k = 1}^\infty {\left( {\lambda _k^2 - k^2 + b_{2k} } \right)} = - \frac{1}{8}\sum {h_j^2 } , b_k = \frac{1}{{\pi }}\int_0^\pi cos kx du (x),
Mathematical Notes | 1999
M. I. Neiman-zade; A. A. Shkalikov
Mathematical Notes | 2003
R. O. Griniv; A. A. Shkalikov
where the λk are the eigenvalues of S and hj are the jumps of the function u(x). Moreover, in the case of local continuity of q(x) at the points 0 and π the series
Mathematical Notes | 2002
J.-G. Bak; A. A. Shkalikov
Russian Journal of Mathematical Physics | 2006
M. I. Neiman-zade; A. A. Shkalikov
\sum\nolimits_{k = 1}^\infty {\left( {\lambda _{\,k} - k^2 } \right)}
Proceedings of the Steklov Institute of Mathematics | 2008
A. M. Savchuk; A. A. Shkalikov
Functional Analysis and Its Applications | 2002
A. V. Dyachenko; A. A. Shkalikov
is summed by the mean-value method, and its sum is equal to