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Mathematics
Linear Algebra
1. Foundations of Linear Systems
2. Matrix Theory and Operations
3. Determinants
4. Vector Spaces and Subspaces
5. Linear Transformations
6. Inner Products and Orthogonality
7. Eigenvalues and Eigenvectors
8. Advanced Topics
5.
Linear Transformations
5.1.
Introduction to Linear Transformations
5.1.1.
Definition and linearity conditions
5.1.2.
Domain and codomain
5.1.3.
Linear transformations from Rⁿ to Rᵐ
5.1.4.
Geometric transformations in R²
5.1.4.1.
Rotations
5.1.4.2.
Reflections
5.1.4.3.
Projections
5.1.4.4.
Scaling transformations
5.1.4.5.
Shear transformations
5.1.5.
Composition of transformations
5.1.6.
Identity and inverse transformations
5.2.
Kernel and Image
5.2.1.
Kernel of a linear transformation
5.2.2.
Image of a linear transformation
5.2.3.
Computing kernel and image
5.2.4.
Rank and nullity of transformations
5.2.5.
Fundamental theorem of linear transformations
5.3.
Matrix Representation
5.3.1.
Standard matrix of a linear transformation
5.3.2.
Finding matrix representations
5.3.3.
Matrix-vector multiplication as transformation
5.3.4.
Change of basis for transformations
5.3.5.
Matrix similarity
5.4.
Special Types of Linear Transformations
5.4.1.
One-to-one transformations
5.4.2.
Onto transformations
5.4.3.
Isomorphisms
5.4.4.
Invertible transformations
5.4.5.
Isomorphic vector spaces
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6. Inner Products and Orthogonality