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MATH-111(g): Linear Algebra
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Lectures in this course (57)
Linear Algebra: Course Information
Provides details about Linear Algebra course logistics, exercise sessions, and exam information.
Linear Equations and Systems
Covers linear equations, systems of linear equations, and matrices, including Gaussian elimination.
Gaussian Elimination Method
Covers the Gaussian elimination method for solving linear equations using row operations and equivalent matrices.
Linear Equations: Solutions and Matrices
Explores solving linear equations, matrix uniqueness, and reduction methods with examples.
Gauss-Jordan Elimination Method
Explains the Gauss-Jordan elimination method for solving linear equations and discusses main and free variables.
Linear Systems: Solutions and Existence Theorem
Covers linear systems without free variables, unique solutions, and the existence theorem.
Solving Systems of Equations with Parameters
Explores solving systems of equations with parameters using matrices and Gaussian elimination.
Vector Equations: Linear Combinations
Covers echelon matrices, vector equations, linear combinations, and vector spans in R^n.
Geometric Interpretation of Vector Spaces
Explores how vectors represent lines and planes in space using their components and equations.
Matrix Equations and Solutions
Explores matrix equations, solutions, properties, and vector spaces in linear algebra.
Matrix Equations and Homogeneous Systems
Explores matrix equations, homogeneous systems, solutions, consistency, and properties.
Linear Independence: Definition and Examples
Explores the concept of linear independence in vector spaces through definitions and illustrative examples.
Linear Applications: Definitions and Examples
Covers linear applications, properties, examples, and implications regarding the linearity of transformations.
Linear Applications Matrix
Explains the matrix of linear applications and canonical matrices for transformations.
Linear Transformations: Matrices and Applications
Explores linear transformations, matrices, and their properties, including surjectivity, injectivity, and symmetry operations.
Linear Applications and Matrix Calculus
Explores linear applications, matrices, injectivity, unique solutions, and matrix operations.
Matrix Operations: Definitions and Examples
Covers the basic operations on matrices, including addition, scalar multiplication, and matrix multiplication.
Matrix Operations: Rules and Applications
Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.
Matrix Inversibility: Determining and Calculating
Covers matrix invertibility, determining if a matrix is invertible, calculating its inverse, and elementary matrices.
Elementary Matrices and Matrix Operations
Covers elementary matrices, their types, properties, and invertibility.
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