| Line 9: | Line 9: | ||
*[[Matrix_multiplication_MA265F10Walther|Matrix Multiplication, summarized by a student in Fall 2010]] | *[[Matrix_multiplication_MA265F10Walther|Matrix Multiplication, summarized by a student in Fall 2010]] | ||
*[[Inverse_MA265F10Walther|Inverse of a Matrix, summarized by a student in Fall 2010]] | *[[Inverse_MA265F10Walther|Inverse of a Matrix, summarized by a student in Fall 2010]] | ||
| + | |||
*[[Inner_Products_MA265F10Walther|Inner products and orthogonality, summarized by a student in Fall 2010]] | *[[Inner_Products_MA265F10Walther|Inner products and orthogonality, summarized by a student in Fall 2010]] | ||
| + | |||
| + | *[[Linear_algebra_%28eigenvalues_and_eigenvectors%29|Eigenvalues and Eigenvectors]] | ||
| + | *[[Hint_-_The_Least_Squares_Solution|The Least Squares Solution summarized in simple formulae!]] | ||
| + | |||
*[[Linear_Algebra_Resource|A linear algebra resource build by students]] (slightly more advanced, but still relevant) | *[[Linear_Algebra_Resource|A linear algebra resource build by students]] (slightly more advanced, but still relevant) | ||
::Linear Equations and Linear Transformations | ::Linear Equations and Linear Transformations | ||
| Line 23: | Line 28: | ||
::*When are vectors [[Linearly Independent]] | ::*When are vectors [[Linearly Independent]] | ||
::*When do vectors form a [[basis]]? | ::*When do vectors form a [[basis]]? | ||
| + | |||
| + | ::*if V is a subspace of R<sup>n</sup>. then [ [[DimVplusdimVorthisn|...]] ] | ||
::Orthogonality | ::Orthogonality | ||
::*When are vectors [[orthogonal]]? | ::*When are vectors [[orthogonal]]? | ||
Revision as of 06:20, 9 December 2010
Contents
MA265:Linear Algebra
Peer Legacy
Share advice with future students regarding MA265 on this page.
- Matrix Multiplication, summarized by a student in Fall 2010
- Inverse of a Matrix, summarized by a student in Fall 2010
- A linear algebra resource build by students (slightly more advanced, but still relevant)
- Linear Equations and Linear Transformations
- Introduction to Matrix
- Matrix Multiplication
- Inverse of a Matrix
- Introduction to Linear Transformations
- Subspaces of $ R^n $
- Definition of Subspace
- Definition of Kernel
- Definition of Image
- What is the Rank Nullity Theorem?
- When are vectors Linearly Independent
- When do vectors form a basis?
- Linear Equations and Linear Transformations
- if V is a subspace of Rn. then [ ... ]
- Orthogonality
- When are vectors orthogonal?
- Determinants
- What is a determinant
- What are some properties of the determinant?
