International Journal of Engineering, Science and Mathematics
  • Year: 2021
  • Volume: 10
  • Issue: 8

Mathematical formulation of various notions of fields in modern algebra

  • Author:
  • Sajjan Singh
  • Total Page Count: 14
  • Page Number: 95 to 108

Professor in Mathematics, Government P G College, Rajgarh, Alwar

Online published on 15 September, 2023.

Abstract

One of the most significant subfields in mathematics is known as linear algebra, and it is one of the subjects that falls under the umbrella of mathematics. It is one of the most significant subfields in mathematics, and its focus is on mathematical structures that are closed when subjected to the addition and multiplication of scalars. The theory of linear transformations, matrices, determinants, vector spaces, and linear equation systems are all included in its scope. The branch of mathematics known as linear algebra is concerned with vectors and matrices, as well as, more generally, vector spaces and linear transformations. Other related topics include matrix spaces. On the other hand, linear algebra is quite well understood, in contrast to other subfields of mathematics, which are frequently revitalized by new ideas and unresolved questions. Linear algebra, on the other hand, is generally well understood. Its usefulness can be seen in a variety of contexts, ranging from mathematical physics to modern algebra, as well as in the fields of engineering and medicine, where it is applied to activities like image processing and analysis. In addition, its applicability can be seen in a variety of contexts, including contemporary algebra. This thesis provides a detailed analysis and description of the linear algebra domain, which covers the subject in its entirety. This examination and explanation takes into account all mathematical concepts and frameworks associated with linear algebra. The fundamental objective of this thesis is to draw attention to a selection of significant and pertinent applications of linear algebra in the field of medical engineering.

Keywords

Image processing, Eigenvectors, Eigenvalues, Principal component analysis