Comprehensive lecture notes, study guides, cheatsheets, and compiled PDF resources for ELEC505 LINEAR SYSTEM THEORY at KoΓ§ University (Spring 2026).
- Course:
ELEC505 LINEAR SYSTEM THEORY - Institution: KoΓ§ University
- Term: Spring 2026
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βββ README.md
βββ lectures/
βββ study_outputs/
β βββ lecture_notes/ # Markdown notes (Lectures 02 to 23)
β βββ pdf/ # Compiled PDF notes (individual & combined)
β β βββ lecture_notes/ # PDF version of each lecture note
β β βββ combined/ # Full course combined PDF notes
β β βββ review/ # PDF revision guides & cheatsheets
β βββ review/ # Last day revision & study guides
βββ final_cheatsheet.md # Quick-reference cheatsheet
βββ master_notes.md # Master summary of course concepts
βββ master_proof_notes_cheatsheet.md # Proof & theory summary
- Vector Spaces & Subspaces: Span, linear independence, basis, dimension, hyperplanes, half-spaces.
- Inner Product Spaces: Euclidean norm, Cauchy-Schwarz inequality, orthogonality, projections.
- Fundamental Matrix Subspaces: Column space, row space, null space, left null space, rank-nullity theorem.
- Eigendecomposition & Spectral Theory: Characteristic polynomial, eigenvalues/eigenvectors, Hermitian, unitary, and normal matrices.
- Quadratic Forms & Factorizations: Sylvester's Law of Inertia, level sets, Cholesky, QR, Block LDU, and Schur complements.
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Vector & Matrix Norms:
$p$ -norms, sparsity, Frobenius norm, induced matrix norms. - Singular Value Decomposition (SVD): Fundamental theorem of linear algebra, low-rank matrix approximation, Schatten/nuclear norms.