Prep 2011 workshop Linear Algebra: Difference between revisions
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** Determinant and Cramer's Rule | ** Determinant and Cramer's Rule | ||
** Elementary matrices and LU Decomposition | ** Elementary matrices and LU Decomposition | ||
* Vector space preliminaries | * Vector space preliminaries | ||
** Definition of a vector space and subspaces | ** Definition of a vector space and subspaces | ||
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** Row space, column space, and null space | ** Row space, column space, and null space | ||
** Dimension and rank | ** Dimension and rank | ||
** Geometric examples | ** Geometric examples | ||
* Linear transformations | * Linear transformations | ||
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** Diagonalization | ** Diagonalization | ||
** Symmetric matrices & Trace | ** Symmetric matrices & Trace | ||
** Quadratic forms | ** Quadratic forms | ||
* Inner product spaces and abstract vector spaces | * Inner product spaces and abstract vector spaces | ||
Revision as of 13:51, 26 June 2011
Working page for the Linear Algebra group at PREP 2011
Preliminary Topic List - 2011-06-23
- Vectors
- Geometric objects - lines and planes
- Dot product and Vector Projections
- Orthogonal decomposition
- Systems of equations and elimination
- Row operations and Row Echelon Form
- Gaussian elimination (Free variables & Consistency of solutions)
- Matrix operations and algebra
- Matrix arithmetic
- Matrix inverse
- Matrix equations
- Determinant and Cramer's Rule
- Elementary matrices and LU Decomposition
- Vector space preliminaries
- Definition of a vector space and subspaces
- Euclidean vector spaces
- Linear combinations and span
- Linear independence
- Basis and orthogonal basis
- Coordinate vectors and change of basis
- Row space, column space, and null space
- Dimension and rank
- Geometric examples
- Linear transformations
- Definition of a linear transformation
- Matrix of a linear transformation
- Reflections, rotations, dilations and projections
- Inverse of a transformation
- Kernel, range, injection, surjection
- Applications
- Adjacency matrix
- Least squares
- Curve/surface fitting
- Mixture problems
- Simplex method
- Graph theory
- Approximation of a function by a Fourier polynomial
- Eigenvalues and eigenvectors
- Finding eigenvalues and eigenvectors
- Eigenspaces
- Diagonalization
- Symmetric matrices & Trace
- Quadratic forms
- Inner product spaces and abstract vector spaces