A prime example of matrices (plural) being used in computers if in computer graphics and rendering where matrices are used in 3D work for transformations like rotation, scaling and translations. Although I'm sure there are plenty more fields in computer science where matrices may be used.
In the field of engineering matrices,generally has various uses.specifically in the field of ELECTRONICS AND COMMUNICATION ENGINEERING it is used isolving the problems that arises in circuites.it is also used in solving probles used in making communication materials like cell phones,computers etc.., for problems regarding manupulation of mother boards in systems and other communication articles.
Matrices are mainly used in network analysis to solve problems based on mesh and nodal analysis. Their applications are also used in network topology to solve problems based on tie set, cut set and incidence matrix.
I suggest asking separate questions for complex numbers, and for matrices. Complex numbers are used in a variety of fields, one of them is electrical engineering. As soon as AC circuits are analyzed, it turns out that complex numbers are the natural way to do this.
Matrices have a wider application in engineering. Many problems can be transformed in to simultaneous equation and their solution can easily be find with the help of matrices.
Science professions, Maths, professions such as mechanical and electronic engineering . Biology & chemistry. It can be used to model sound - all kinds of applications.
Toshinori Munakata has written: 'Matrices and linear programming with applications' -- subject(s): Linear programming, Matrices 'Solutions manual for Matrices and linear programming'
Matrices are a vital mathematical tool for calculating forces, vectors, tensions, masses, loads and a myriad of other factors that must be accounted for in engineering to ensure a safe and resource-efficient structure.
we can measure the expansion of the world by matrices cause in magnetic fields vectors can be streched up to a certain limit which are the eigen values.
S. S. Agaian has written: 'Hadamard matrices and their applications' -- subject(s): Hadamard matrices
Unless your "everyday life" involves work in some area of engineering, you won't use matrices in your everyday life.
Oktay Ural has written: 'Matrix operations and use of computers in structural engineering' -- subject(s): Data processing, Matrix methods, Structural analysis (Engineering) 'Finite element method: basic concepts and applications' -- subject(s): Finite element method, Matrices, Structural analysis (Engineering)
The history of eigenvalues is significant in the development of linear algebra because it allows for the analysis of linear transformations and systems of equations. Eigenvalues help in understanding the behavior of matrices and their applications in fields such as physics, engineering, and computer science.