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EE-869 Linear Systems Theory – Maths Matrix Refresher & Cheat Sheet, Fall Semester 2025, Comprehensive Lecture Summary

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This document provides a clear math refresher and cheat sheet for EE-869 Linear Systems Theory, focusing on core matrix and linear algebra concepts used in system analysis. It covers vector spaces, eigenvalues and eigenvectors, matrix diagnostics, and essential matrix operations, explained in an accessible, concept-focused way. The material is aligned with the Fall Semester 2025 course and is suitable as a quick reference for revision and exam preparation.

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EE-869 Linear Systems Theory​
FALL SEMESTER 2025
Ghulam Mustafa




December 2025

Linear Systems Theory: Math Refresher &
Cheat Sheet
A Layman’s Guide to the Concepts (Up to Page 37)

1. The Vocabulary of "Space" (The Rules of the Game)
Before we solve equations, we must define where they live.

●​ Field 𝐅: The "Palette of Numbers."
○​ R (Reals): Physical quantities (mass, voltage).
○​ ℂ (Complex): Oscillations and frequencies.
●​ Vector Space: The "Playground." A set where you can add vectors and scale
them without leaving the set.
●​ Span: The "Reach." The set of all possible points you can reach using a specific
list of vectors.
○​ Visual: The span of two arrows on a desk is the entire flat surface of the
desk.
●​ Range (Image): The "Output Possibilities."
○​ For a system matrix A, the Range is the set of all possible outputs it can
produce.
○​ Significance: If a state is outside the Range, the system cannot go there.
●​ Orthogonality: "Independence."
○​ Two vectors are orthogonal if their inner product is zero (<x, y> = 0).
○​ Significance: Allows us to separate signals (decoupling) and filter noise
cleanly.




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