Linear algebra is the branch of mathematics concerning linear equations, linear functions, and their representations through matrices and vector spaces. Understanding linear algebra involves learning how to solve systems of linear equations using methods such as matrix operations, determinants, and vector spaces.
Key applications include:
- Computer Graphics: transforming and projecting images.
- Physics: solving mechanical systems and electrical circuits.
- Economics: modeling economic activities and optimizing solutions.
- Engineering: analyzing structures, signal processing, and more.
Augmented Matrix:An augmented matrix merges the coefficient matrix with the constants from the equations. In our example:
\[\begin{pmatrix}3 & 4 & | & 7 \4 & -2 & | & 5\end{pmatrix}\]This augmented matrix represents the entire system in a format suitable for applying matrix operations to find the solution. Learning how to form and use augmented matrices is crucial for simplifying the process of solving systems of linear equations and an essential skill in linear algebra.