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ELEC505: Linear System Theory

Comprehensive lecture notes, study guides, cheatsheets, and compiled PDF resources for ELEC505 LINEAR SYSTEM THEORY at KoΓ§ University (Spring 2026).


πŸ“š Course Details

  • Course: ELEC505 LINEAR SYSTEM THEORY
  • Institution: KoΓ§ University
  • Term: Spring 2026

πŸ“‚ Repository Structure

.
β”œβ”€β”€ README.md
└── lectures/
    β”œβ”€β”€ study_outputs/
    β”‚   β”œβ”€β”€ lecture_notes/             # Markdown notes (Lectures 02 to 23)
    β”‚   β”œβ”€β”€ pdf/                       # Compiled PDF notes (individual & combined)
    β”‚   β”‚   β”œβ”€β”€ lecture_notes/         # PDF version of each lecture note
    β”‚   β”‚   β”œβ”€β”€ combined/              # Full course combined PDF notes
    β”‚   β”‚   └── review/                # PDF revision guides & cheatsheets
    β”‚   └── review/                    # Last day revision & study guides
    β”œβ”€β”€ final_cheatsheet.md            # Quick-reference cheatsheet
    β”œβ”€β”€ master_notes.md                # Master summary of course concepts
    └── master_proof_notes_cheatsheet.md  # Proof & theory summary

πŸ’‘ Key Topics Covered

  1. Vector Spaces & Subspaces: Span, linear independence, basis, dimension, hyperplanes, half-spaces.
  2. Inner Product Spaces: Euclidean norm, Cauchy-Schwarz inequality, orthogonality, projections.
  3. Fundamental Matrix Subspaces: Column space, row space, null space, left null space, rank-nullity theorem.
  4. Eigendecomposition & Spectral Theory: Characteristic polynomial, eigenvalues/eigenvectors, Hermitian, unitary, and normal matrices.
  5. Quadratic Forms & Factorizations: Sylvester's Law of Inertia, level sets, Cholesky, QR, Block LDU, and Schur complements.
  6. Vector & Matrix Norms: $p$-norms, sparsity, Frobenius norm, induced matrix norms.
  7. Singular Value Decomposition (SVD): Fundamental theorem of linear algebra, low-rank matrix approximation, Schatten/nuclear norms.

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