Coffee Temperature — Table & Accumulation
미분가능한 함수의 특정 점에서의 순간변화율(derivative)을 구할 수 없을 때, 평균변화율(average rate of change)로 근사한다.
C′(5) ≈ [C(7) − C(3)] / (7 − 3)"Show the work" → 분자·분모 숫자 모두 써야 점수 받음
Using the average rate of change of C over the interval 3 ≤ t ≤ 7:
C′(5) ≈ [C(7) − C(3)] / (7 − 3) = (69 − 85) / (7 − 3) = −16/4 = −4C′(5) ≈ −4 degrees Celsius per minute
Left Riemann Sum: 각 소구간의 왼쪽 끝값 × 소구간 폭의 합.
소구간: [0,3], [3,7], [7,12] → 왼쪽 끝: t = 0, 3, 7
LRS = C(0)·(3−0) + C(3)·(7−3) + C(7)·(12−7)단위: degrees Celsius. "Average value of C" 라고 명확히 쓸 것!
구간 폭이 각각 다름: 3, 4, 5 (균등하지 않음!)
≈ 985 degree-minutes
Interpretation: (1/12)∫₀¹² C(t) dt represents the average temperature of the coffee over the time interval 0 ≤ t ≤ 12 minutes, measured in degrees Celsius.
C(12) = 55 (표에서 주어진 값), 그리고 주어진 C′(t)를 12~20 구간에서 적분.
계산기로 수치 적분 후 C(12) = 55에 더하기.
2.
menu → 4: Calculus → 3: Integral (또는 직접 입력)3. 입력:
∫(−24.55·e^(−0.01·t), t, 12, 20)또는 탬플릿 사용:
템플릿 버튼(trig/모음) → 적분 기호 선택4. Enter → 결과값 확인 (≈ −18.757)
5. 55 + (결과값) 계산
C(20) ≈ 36.243 degrees Celsius
"Rate of change" = C′(t). 이 값이 increasing/decreasing은 C″(t)의 부호로 결정.
- C″(t) > 0 → C′(t) increasing (변화율이 증가)
- C″(t) < 0 → C′(t) decreasing (변화율이 감소)
· e^(−0.01t): 항상 양수 (+)
· 0.2455: 양수 (+)
· (100 − t²): 12 < t < 20일 때 → 100 − 144 = −44 < 0 → 음수!
∴ C″(t) < 0 for 12 < t < 20
물음은 "rate of change (C′)가 decreasing/increasing"을 물음.
For 12 < t < 20:
- e^(−0.01t) > 0 and 0.2455 > 0
- (100 − t²): Since t > 10, t² > 100, so (100 − t²) < 0
Since C″(t) < 0, C′(t) is decreasing on this interval. Therefore, the temperature of the coffee is changing at a decreasing rate for 12 < t < 20.
Particle Motion in the xy-Plane
x′(t) = 8t − t², y′(t) = −t + √(t^1.2 + 20)
At t = 2: position is (3, 6)
속력(speed)은 벡터의 크기(magnitude)이다. 음수가 될 수 없음.
단위: cm/s (centimeters per second)
8(2) − (2)² = 12 → x′(2) = 122.
−2 + √(2^1.2 + 20) 계산입력:
−2 + √(2^1.2 + 20) → ≈ 2.66743. Speed:
√(12² + 2.6674²) → Enter
speed ≈ √151.112 ≈ 12.293 centimeters per second
이동 거리(distance)는 속력을 시간에 대해 적분. 변위(displacement)와 다름!
방향이 바뀌어도 총 이동 거리는 절댓값의 적분 (속력의 적분).
계산기 수치적분 사용. 반드시 setup(식) 먼저 쓸 것!
∫(√((8t−t²)² + (−t + √(t^1.2 + 20))²), t, 0, 2)또는 menu → Calculus → Integral 사용
결과 ≈ 15.638
≈ 15.638 centimeters
t = 2에서의 y값(= 6)을 알고 있으므로, 역으로 t = 0의 y값을 구한다.
y(0) = y(2) − ∫₀² y′(t) dt또는
y(2) = y(0) + ∫₀² y′(t) dt를 y(0)에 대해 풀기.
∫(−t + √(t^1.2 + 20), t, 0, 2) 계산 → ≈ 7.816y(0) = 6 − 7.816 ≈ −1.816
y(0) ≈ −1.816 centimeters
x축 방향으로 이동한다 = y좌표가 감소한다.
First quadrant에서 y > 0이므로, y축 방향 운동은 y′(t)의 부호로 결정.
- y′(t) < 0 → y 감소 → x축에 가까워짐 → toward x-axis
- y′(t) > 0 → y 증가 → x축에서 멀어짐
y′(t) = −t + √(t^1.2 + 20) = 0 → √(t^1.2 + 20) = t → 계산기로 해결
First quadrant 조건(y > 0)은 문제에서 이미 보장해줌.
f1(t) = −t + √(t^1.2 + 20) 입력 → zero 찾기방법 2: Calculator →
solve(−t + √(t^1.2 + 20) = 0, t)결과: t ≈ 5.118
t = 5.118 전후의 y′ 부호 확인: · t = 3: y′(3) = −3 + √(3^1.2 + 20) ≈ positive
· t = 7: y′(7) = −7 + √(7^1.2 + 20) ≈ negative
The particle moves toward the x-axis when y′(t) < 0 (since y > 0 in the first quadrant).
y′(t) = −t + √(t^1.2 + 20) = 0 → t ≈ 5.118For 2 ≤ t < 5.118: y′(t) > 0 (moving away from x-axis)
For 5.118 < t ≤ 8: y′(t) < 0 (moving toward x-axis)
The particle is moving toward the x-axis for 5.118 < t ≤ 8.
Reason: y′(t) < 0 on this interval, meaning the y-coordinate is decreasing, so the particle moves closer to the x-axis.
Seawater Depth — Differential Equation
기울기장(slope field): 각 점 (t, H)에서의 기울기 = dH/dt 값.
Solution curve는 기울기장의 방향을 따라 흐르는 곡선.
· dH/dt at (0,4): (1/2)(4−1)cos(0) = (3/2)(1) = 1.5 → 양수 기울기로 시작
· cos(t/2) = 0 at t = π ≈ 3.14 → 이 근처에서 기울기 0, 극값
· t > π: cos(t/2) < 0, H > 1 → dH/dt < 0 → 감소
Begin at (0, 4) with positive slope (≈ 1.5). The curve increases, reaches a maximum near t = π, then decreases, always following the slope field direction. The curve should remain above H = 1 for 0 < t < 5.
Critical point: dH/dt = 0
(1/2)(H − 1)cos(t/2) = 0H(t) > 1이 주어졌으므로, (H − 1) ≠ 0 → 따라서 cos(t/2) = 0
t/2 = π/2 → t = π· t > π (within 0~5): cos(t/2) < 0, H > 1 → dH/dt < 0 (decreasing)
→ sign changes from + to − → Relative MAXIMUM!
Setting dH/dt = 0: Since H(t) > 1 for 0 < t < 5, we have (H − 1) ≠ 0, so:
cos(t/2) = 0 → t/2 = π/2 → t = πSign analysis of dH/dt:
- For 0 < t < π: cos(t/2) > 0 and H − 1 > 0, so dH/dt > 0
- For π < t < 5: cos(t/2) < 0 and H − 1 > 0, so dH/dt < 0
H has a relative maximum at t = π, because dH/dt changes from positive to negative.
· H(0) = 4 > 1 이므로 H − 1 > 0 → |H − 1| = H − 1
· 우변 적분: ∫cos(t/2)·(1/2)dt → 치환 또는 공식 사용
∫(1/2)cos(t/2) dt = sin(t/2) + C
전체 우변: (1/2)·2sin(t/2) = sin(t/2)
Apply H(0) = 4:
ln|4 − 1| = sin(0) + C → ln 3 = 0 + C → C = ln 3 ln(H − 1) = sin(t/2) + ln 3 H − 1 = e^(sin(t/2) + ln 3) = 3e^(sin(t/2))H(t) = 1 + 3e^(sin(t/2))
Graph of f — Accumulation Function g and h
f is differentiable, defined on [−6, 7]. Region R (second quadrant, bounded by f, x=−6, x-axis, y-axis) has area = 12.
f has horizontal tangent at x = −2. f is linear for 0 ≤ x ≤ 7.
From graph: f(0) = 0, f(4) = 3 (peak-ish region), f(6) = −1 (linear part), (−6, 0.5) is on graph.
g(x) = ∫₀ˣ f(t) dt
g(−6) = ∫₀^{−6} f(t) dt = −∫_{−6}^0 f(t) dt
Region R has area 12 → ∫_{−6}^0 f(t) dt = 12 (f ≥ 0 in second quadrant from graph)
· g(4): 그래프에서 0~4 구간의 넓이를 읽어야 함
· g(6): g(4) + ∫₄^6 f(t) dt, 선형 구간에서 삼각형 넓이 계산
g(4): f가 0~4 구간에서 양수이므로 넓이가 양수.
그래프 상 반원 같은 곡선 → (1/2)·base·height 또는 기하 공식 사용.
From the graph, the region between x = 0 and x = 4 (above x-axis) ≈ area of curved region. Reading the graph: the enclosed area from 0 to 4 appears to be approximately 8 (estimate based on geometry).
g(4) = ∫₀^4 f(t) dt ≈ 8For 4 ≤ x ≤ 7, f is linear with f(4) = 3 and f(6) = −1. The line crosses x-axis at some point between 4 and 6.
Line from (4,3) to (6,−1): slope = (−1−3)/(6−4) = −2. Zero at: 3 − 2(x−4) = 0 → x = 5.5
∫₄^6 f dt = triangle above (area from 4 to 5.5) − triangle below (5.5 to 6) = (1/2)(1.5)(3) − (1/2)(0.5)(1) = 2.25 − 0.25 = 2 g(6) = g(4) + ∫₄^6 f(t) dt = 8 + 2 = 10g(−6) = −12, g(4) = 8, g(6) = 10
g′(x) = f(x) (FTC Part 1)
Critical points of g: where g′(x) = f(x) = 0
그래프에서 f는 x = 0에서 0이고, linear part에서 x = 5.5에서 0을 통과.
Since g′(x) = f(x) by FTC, critical points of g occur where f(x) = 0.
From the graph, f(x) = 0 at x = 5.5 on the interval 0 ≤ x ≤ 6.
(f(0) = 0 is an endpoint, not interior; f changes sign at x = 5.5 from positive to negative.)
g has a critical point at x = 5.5. Since g′ = f changes from positive to negative, this is a relative maximum of g.
FTC Part 2: h(x) = ∫_{−6}^x f′(t) dt = f(x) − f(−6)
h′(x) = f′(x) (FTC Part 1)
h″(x) = f″(x)
· h′(6) = f′(6): 선형 구간의 기울기 = −2
· h″(6) = f″(6): 선형이므로 기울기가 상수 → f″ = 0
Since f is linear on [0,7] through (4,3) and (6,−1): slope = (−1−3)/(6−4) = −4/2 = −2
h′(6) = −2 h″(6) = f″(6) = 0 (f is linear on this interval, so f′ is constant)h(6) = −3/2, h′(6) = −2, h″(6) = 0
Arc Length, Euler's Method & Integration by Parts
f is twice differentiable, f(0) = 0. f′(0) = 5, f′(π) = 6, f′(2π) = 0
h(x) = ∫₀ˣ √(1 + [f′(t)]²) dt
FTC Part 1: h′(x) = √(1 + [f′(x)]²)
h′(π) = √37
이것이 정확한 수학적 해석!
∫₀^π √(1 + [f′(x)]²) dx represents the arc length (length of the curve) of the graph of f on the interval 0 ≤ x ≤ π.
Step size h = (2π − 0)/2 = π
y_{n+1} = y_n + h · f′(x_n)Step size: Δx = (2π − 0)/2 = π
x₀ = 0, f(0) = 0 x₁ = π, f(π) ≈ f(0) + π · f′(0) = 0 + 5π = 5π x₂ = 2π, f(2π) ≈ f(π) + π · f′(π) = 5π + 6π = 11πf(2π) ≈ 11π
선택 기준 (LIATE): Logarithm, Inverse trig, Algebraic, Trig, Exponential
여기서: u = (t + 5) [algebraic], dv = cos(t/4) dt [trig]
du = dt (다항식 미분)
Let u = t + 5, dv = cos(t/4) dt
du = dt, v = 4sin(t/4) ∫(t+5)cos(t/4) dt = (t+5)·4sin(t/4) − ∫4sin(t/4) dt = 4(t+5)sin(t/4) − 4·[−4cos(t/4)] + C= 4(t + 5)sin(t/4) + 16cos(t/4) + C
Maclaurin Series — Convergence & Radius
Radius of convergence = 6
x = 6은 반경 경계값 → 직접 대입해서 판단해야 함.
at x = 6: Σ (n+1)·6ⁿ / (n²·6ⁿ) = Σ (n+1)/n²Σ 1/n diverges (harmonic series!)
Limit Comparison with 1/n → limit = 1 (finite, positive) → DIVERGES
Substituting x = 6:
Σ (n+1)·6ⁿ / (n²·6ⁿ) = Σ (n+1)/n²Using Limit Comparison Test with Σ 1/n:
lim [((n+1)/n²) / (1/n)] = lim (n+1)/n = 1 > 0Since Σ 1/n diverges (harmonic series) and the limit is a positive finite number,
the Maclaurin series diverges at x = 6.
Alternating Series Error Bound:
|S − Sₙ| ≤ |aₙ₊₁|즉, 오차는 다음 항의 절댓값보다 작거나 같다.
f(−3) = Σ (n+1)(−1/2)ⁿ / n² → alternating series when x = −3
1. 항들이 alternating sign ✓
2. |aₙ| decreasing ✓
3. lim aₙ → 0 ✓
→ 세 조건 모두 쓸 것!
The series for f(−3) is an alternating series with terms aₙ = (n+1)/(n²·2ⁿ) (decreasing to 0), so the Alternating Series Remainder Theorem applies.
|f(−3) − S₃| ≤ |a₄| = (4+1)/(4²·2⁴) = 5/(16·16) = 5/256Since:
5/256 < 1/50 (because 5·50 = 250 < 256)Therefore |f(−3) − S₃| ≤ 5/256 < 1/50. ∎
Power series를 항별로 미분(term-by-term differentiation).
f(x) = Σ (n+1)xⁿ / (n²·6ⁿ) f′(x) = Σ n·(n+1)xⁿ⁻¹ / (n²·6ⁿ) = Σ (n+1)xⁿ⁻¹ / (n·6ⁿ)(단, 수렴 구간의 끝점은 달라질 수 있음 — 이 문제는 반경만 묻고 있음)
Differentiating term by term:
f′(x) = Σ [n · (n+1)xⁿ⁻¹] / (n²·6ⁿ) = Σ (n+1)xⁿ⁻¹ / (n·6ⁿ) [n=1 to ∞]General term: (n+1)xⁿ⁻¹ / (n·6ⁿ). Radius of convergence = 6.
수렴: L < 1, 발산: L > 1, 판단불가: L = 1
Radius of convergence: L < 1에서 |x|의 조건 → R 결정
aₙ = (n+1)x^(2n) / (n²·3ⁿ)
aₙ₊₁ = (n+2)x^(2n+2) / ((n+1)²·3^(n+1))
For convergence: x²/3 < 1 → x² < 3 → |x| < √3
Radius of convergence = √3