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This lecture introduces the concept of triangular matrices in the context of solving linear systems of equations. The instructor explains how to transform a system of equations into a triangular form by applying elementary row operations, leading to a simplified matrix representation. By triangularizing the matrix, the lecture demonstrates how to systematically solve linear systems, emphasizing the importance of notation and matrix manipulation. The process involves permuting equations, scaling rows, and ultimately achieving a triangular matrix that facilitates finding solutions. The lecture also highlights the reversible nature of these operations and the significance of the augmented matrix in solving linear systems.