#L06 · Linear Algebra & Manifolds · Lv.2View in 3D Mind-Map

Gaussian Elimination & Linear Systems (Ax = b)

Nine Chapters, Gauss & Gabriel Cramer · 1750 CE

Ax=b  ⟹  xi=det⁡(Ai)det⁡(A)A\mathbf{x} = \mathbf{b} \implies x_i = \frac{\det(A_i)}{\det(A)}
[A∣b]→RREF[I∣x][A \mid \mathbf{b}] \xrightarrow{\text{RREF}} [I \mid \mathbf{x}]

Solves systems of simultaneous linear equations Ax = b via systematic row reduction (Gaussian elimination) and determinant ratios (Cramer's rule).

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Coeff a₁
Const c₁
Coeff a₂
Const c₂
{2x+y=51x−y=1  ⟹  (x,y)=(2.00,  1.00)\begin{cases}2x + y = 5\\ 1x - y = 1\end{cases} \implies (x, y) = (2.00,\; 1.00)
연립방정식 교점 해 (x, y)
(2.00, 1.00)
계수 행렬식 det(A)
-3.00
행렬 랭크 rank(A)
2 (유일해)

Prerequisite Path (14 STEP)

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Click steps in order to follow the 3D neon path from basics to target.

STEP 1#A02Polynomial Expansion & Factoring
STEP 2#A03Laws of Exponents & Radicals
STEP 3#G01Pythagorean Theorem
STEP 4#G03Pi, Radian Measure & Circular Sector
STEP 5#L01Vector Operations, L1/L2 Norms & Normalization
STEP 6#A01Linear Equation & Balance Axiom
STEP 7#G022D/3D Euclidean Distance Formula
STEP 8#G05Law of Sines & Law of Cosines
STEP 9#G04Unit Circle Trigonometry & Identities
STEP 10#L02Dot Product & Cosine Similarity
STEP 11#L033D Cross Product & Surface Normal Vector
STEP 12#L04Matrix Multiplication & Linear Transformation
STEP 13#L05Determinant & Matrix Inverse
STEP 14#L06Gaussian Elimination & Linear Systems (Ax = b)

Geometric & Intuitive Insight

2차원 평면에서 두 일차방정식은 두 개의 직선이며, 연립방정식의 해 (x, y)는 두 직선이 교차하는 단 하나의 교점입니다. 두 직선이 평행하면(det(A)=0) 교점이 없거나 무수히 많습니다.

Step-by-Step Derivation

  1. Step 1.1단계: 연립방정식 a₁x + b₁y = c₁, a₂x + b₂y = c₂ 를 행렬 형태 Ax = b 로 표기합니다.
  2. Step 2.2단계: 첫째 식에 b₂를 곱하고 둘째 식에 b₁을 곱해 빼면 y가 소거되어 (a₁b₂ - b₁a₂)x = c₁b₂ - b₁c₂
  3. Step 3.3단계: det(A) = a₁b₂ - b₁a₂ ≠ 0 일 때 x = det(A_x)/det(A), y = det(A_y)/det(A) 로 해가 구해집니다.

AI & Coding Real-World Use

SPICE circuit simulation, structural mechanics solvers, and Least Squares Normal Equations

#Linear Solver Ax=b#SPICE Circuit Sim#Normal Equations
const det = a1*b2 - b1*a2; const x = (c1*b2 - b1*c2)/det; const y = (a1*c2 - c1*a2)/det;

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