Strong linearizations of polynomial and rational matrices and recovery of spectral data

dc.contributor.authorDas, Ranjan Kumar
dc.date.accessioned2019-10-23T11:01:19Z
dc.date.accessioned2023-10-20T12:30:56Z
dc.date.available2019-10-23T11:01:19Z
dc.date.available2023-10-20T12:30:56Z
dc.date.issued2019
dc.descriptionSupervisor: Rafikul Alamen_US
dc.description.abstractLinearization is a classical technique widely used to deal with matrix polynomial. The main purpose of the thesis is to construct and analyze strong linearizations of polynomial and rational matrices. The first part of the thesis is devoted to construction of strong linearizations of matrix polynomials including structure-preserving strong linearizations and the recovery of eigenvectors, minimal bases and minimal indices of matrix polynomials from those of the linearizations. The second part of the thesis is devoted to construction of strong linearizations of rational matrices including structure-preserving strong linearizations and the recovery of eigenvectors, minimal bases and minimal indices of rational matrices from those of the linearizations.Fiedler pencils (FPs), generalized Fiedler pencils (GFPs), Fiedler pencils with repetition (FPRs) and generalized Fiedler pencils with repetition (GFPRs) are important family of strong linearizations of matrix polynomials which have been studied extensively over the years. It is well known that the family of GFPRs of matrix polynomials subsumes the family of FPRs and is an important source of strong linearizations, especially structure-preserving strong linearizations of structured matrix polynomials. We propose a unified framework for analysis and construction of a family of Fiedler-like pencils, which we refer to as extended GFPRs (EGFPRs), that subsumes all the known classes of Fiedler-like pencils such as FPs, GFPs, FPRs and GFPRs of matrix polynomials.en_US
dc.identifier.otherROLL NO.136123004
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/1386
dc.language.isoenen_US
dc.relation.ispartofseriesTH-2055;
dc.subjectMATHEMATICSen_US
dc.titleStrong linearizations of polynomial and rational matrices and recovery of spectral dataen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
Abstract-TH-2055_136123004.pdf
Size:
312.09 KB
Format:
Adobe Portable Document Format
Description:
ABSTRACT
No Thumbnail Available
Name:
TH-2055_136123004.pdf
Size:
1.81 MB
Format:
Adobe Portable Document Format
Description:
THESIS
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description: