#C04 · Calculus & Analysis · Lv.3View in 3D Mind-Map
Fundamental Theorem of Calculus (FTC)
Newton, Leibniz & Isaac Barrow · 1669 CE
Unites differentiation and integration as inverse operations, allowing the area under any curve to be computed simply from antiderivative endpoints F(b) - F(a).
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Lower limit a
Upper limit b
Definite Integral
9.0000
Antiderivative ΔF
9.0000
Mean Value
3.000
Prerequisite Path (9 STEP)
Full Path AnalyzerClick steps in order to follow the 3D neon path from basics to target.
STEP 1#A02Polynomial Expansion & Factoring
STEP 2#A01Linear Equation & Balance Axiom
STEP 3#A03Laws of Exponents & Radicals
STEP 4#A06Logarithm Laws & Change of Base
STEP 5#A08Binomial Theorem & Pascal's Triangle
STEP 6#C01Limits, Continuity & Euler's Number e
STEP 7#A07Arithmetic & Geometric Series Sum
STEP 8#C02Derivative Definition & Instantaneous Rate
STEP 9#C04Fundamental Theorem of Calculus (FTC)
\int_a^b f(x)\
Geometric & Intuitive Insight
시속 f(t) km로 달린 자동차의 속도 그래프 아래 넓이(이동거리)는, 결국 출발할 때 계기판 누적거리 F(a)와 도착할 때 계기판 누적거리 F(b)의 차이 F(b) - F(a)와 정확히 같습니다.
Step-by-Step Derivation
- Step 1.1단계: 넓이 함수 A(x) = ∫_a^x f(t) dt 에 대해 증분 ΔA = A(x+h) - A(x) ≈ f(x)·h 입니다.
- Step 2.2단계: 양변을 h로 나누고 h → 0 극한을 취하면 A'(x) = f(x) 가 되어 넓이 함수의 도함수가 원래 함수 f(x)임이 증명됩니다.
- Step 3.3단계: 따라서 임의의 부정적분 F(x)에 대해 ∫_a^b f(x) dx = F(b) - F(a) 가 성립합니다.
AI & Coding Real-World Use
Physics engine velocity-to-position integration, 3D ray marching rendering equation, and probability CDF
#Physics RK4 Integrator#3D Rendering Equation#Probability CDF
const simpson = (f:(x:number)=>number, a:number, b:number) => ((b-a)/6)*(f(a)+4*f((a+b)/2)+f(b));Calculus & Analysis — Related Formulas in This Cluster
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