Difference between revisions of "Prep 2011 workshop Linear Algebra"
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** Determinant and Cramer's Rule |
** Determinant and Cramer's Rule |
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** Elementary matrices and LU Decomposition |
** Elementary matrices and LU Decomposition |
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| − | *** Note: There are determinant of elementary matrix questions in the NPL in Linear Algebra/Matrices/Determinants |
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* Vector space preliminaries |
* Vector space preliminaries |
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** 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 |
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** Dimension and rank |
** Dimension and rank |
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| − | *** Note: There are some "rank" problems in the NPL in Linear Algebra/Matrices/Matrix Operations |
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** Geometric examples |
** Geometric examples |
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* Linear transformations |
* Linear transformations |
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** Diagonalization |
** Diagonalization |
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** Symmetric matrices & Trace |
** Symmetric matrices & Trace |
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| − | *** Note: There are some "trace" problems in the NPL in Linear Algebra/Matrices/Matrix Operations |
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** Quadratic forms |
** Quadratic forms |
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* Inner product spaces and abstract vector spaces |
* Inner product spaces and abstract vector spaces |
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Revision as of 09:51, 26 June 2011
Contents
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
