Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
Linear algebra for advanced studies
·
Module 3
Inner Products and Orthogonality
1
Inner Products: Definition and Properties
Define real (dot product) and complex (Hermitian) inner products and verify their properties.
2
Inner Products: Norms and Distances
Compute vector norms and distances derived from an inner product.
3
Orthogonality in Inner Product Spaces
Determine orthogonality between vectors in both real and complex inner product spaces.
4
Gram-Schmidt Orthonormalization
Apply the Gram-Schmidt process to construct an orthonormal basis from a given basis.
5
Orthogonal Projection onto a Subspace
Compute the orthogonal projection of a vector onto a subspace.
6
Vector Decomposition: Parallel and Orthogonal Components
Decompose a vector into components parallel and orthogonal to a subspace.
7
Orthogonal and Unitary Matrices Defined
Define and identify orthogonal (real) and unitary (complex) matrices.
8
Preserving Norms and Inner Products: Orthogonal and Unitary Operators
Describe how orthogonal and unitary operators preserve norms and inner products.
Previous module
Linear Transformations and Matrices
Next module
Eigenvalues, Eigenvectors, and Diagonalization