The computation of matrix functions in particular, the matrix exponential

Ghufran, Syed Muhammad (2010). The computation of matrix functions in particular, the matrix exponential. University of Birmingham. M.Phil.


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Matrix functions in general are an interesting area in matrix analysis and are used in many areas of linear algebra and arise in numerous applications in science and engineering. We consider how to define matrix functions and how to compute matrix functions. To be concrete, we pay particular attention to the matrix exponential. The matrix exponential is one of the most important functions of a matrix. In this thesis, we discuss some of the more common matrix functions and their general properties, and we specifcally explore the matrix exponential. In principle, there are many different methods to calculate the exponential of a matrix. In practice, some of the methods are preferable to others, but none of which is entirely satisfactory from either a theoretical or a computational point of view. Computations of the matrix exponential using Taylor Series, Pade Approximation, Scaling and Squaring, Eigenvectors and Schur Decomposition methods are provided. In this project we checked rate of convergence and accuracy of the matrix exponential.

Type of Work: Thesis (Masters by Research > M.Phil.)
Award Type: Masters by Research > M.Phil.
College/Faculty: Colleges (2008 onwards) > College of Engineering & Physical Sciences
School or Department: School of Mathematics
Funders: None/not applicable
Subjects: Q Science > QA Mathematics


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