Core Concept
G(t) is the rate (tons/hr) of gravel arriving. G′(t) is the rate of change of that rate — i.e., the acceleration of gravel arrival. Use your calculator to evaluate the derivative numerically.
Chain rule: \( G'(t) = -45\sin\!\left(\frac{t^2}{18}\right) \cdot \frac{2t}{18} = -5t\sin\!\left(\frac{t^2}{18}\right) \)
\( G'(5) = -5(5)\sin\!\left(\dfrac{25}{18}\right) \approx -24.506 \)
Interpretation: At t = 5 hours, the rate at which unprocessed gravel arrives at the plant is decreasing at approximately 24.506 tons per hour per hour.
Core Concept
Total amount = \(\displaystyle\int_0^8 G(t)\,dt\). G(t) is a rate, so integrating it gives total accumulated gravel arriving over the 8-hour workday.
Core Concept
The amount of gravel changes at the rate: G(t) − 100 (arrival rate minus processing rate). If this is positive → increasing; negative → decreasing.
Compute G(5) and compare to 100.
Since G(5) − 100 ≈ 81.981 − 100 = −18.019 < 0, the amount of unprocessed gravel at the plant is decreasing at t = 5 hours.
Core Concept
The stockpile A(t) changes at rate G(t) − 100. To maximize A(t): find where G(t) − 100 changes from + to −, then evaluate A(t) at critical points and endpoints. A(t) = 500 + ∫₀ᵗ [G(s) − 100] ds.
Step 2: Check sign of G(t) − 100 to confirm maximum (+ before, − after)
Step 3: Compute A(t*) = 500 + ∫₀ᵗ* [G(t) − 100] dt
For t < t*: G(t) > 100 → stockpile increasing.
For t > t*: G(t) < 100 → stockpile decreasing.
So t* is the location of the maximum.
\( A(t^*) = 500 + \displaystyle\int_0^{t^*}\!\bigl(G(t)-100\bigr)\,dt \approx 500 + 21.260 \approx 521.260 \text{ tons} \)
Also check endpoints: A(0)=500, A(8) = 500 + ∫₀⁸(G(t)−100)dt ≈ 500+(776.336−800) ≈ 476.336 tons.
Core Concept: Polar Area
Area of a polar region: \( A = \dfrac{1}{2}\displaystyle\int_\alpha^\beta r^2\,d\theta \)
For the region inside r = 3 AND inside r = 4 − 2sinθ: from the figure, the shaded region is the part of r = 3 that lies below the circle (inside r = 4 − 2sinθ). Split by the intersection angles.
• From θ = π/6 to 5π/6: the boundary is r = 4 − 2sinθ (it's smaller here, inside r = 3)
• From 5π/6 to π/6 (going around the bottom): boundary is r = 3
Area of S = Area of full r = 3 circle − Area inside r = 3 but outside r = 4 − 2sinθ
OR: \( A = \dfrac{1}{2}\displaystyle\int_{\pi/6}^{5\pi/6}(4-2\sin\theta)^2\,d\theta + \dfrac{1}{2}\int_{5\pi/6}^{2\pi+\pi/6} 9\,d\theta \)
\( A = \dfrac{1}{2}\!\int_{\pi/6}^{5\pi/6}(4-2\sin\theta)^2 d\theta + \dfrac{1}{2}\!\int_{5\pi/6}^{13\pi/6} 9\,d\theta \)
\( = \dfrac{1}{2}\int_{\pi/6}^{5\pi/6}(4-2\sin\theta)^2\,d\theta + 6\pi \)
Numerically: ≈ 7.6422 + 18.8496 ≈ 26.492
Core Concept: Polar → Cartesian
x = r·cosθ = (4 − 2sinθ)·cosθ. With θ = t²: x(t) = (4 − 2sin(t²))·cos(t²). Solve x(t) = −1 on [1, 2].
\( x(t) = r\cos\theta = (4-2\sin(t^2))\cos(t^2) \)
Solving (4 − 2sin(t²))·cos(t²) = −1 on [1, 2]:
Core Concept: Position & Velocity Vectors
Position: \(\vec{r}(t) = \langle x(t),\, y(t)\rangle\) where x = r cosθ, y = r sinθ, θ = t².
Velocity: \(\vec{v}(t) = \langle x'(t),\, y'(t)\rangle\) — differentiate each component.
\( \vec{r}(t) = \bigl\langle (4-2\sin(t^2))\cos(t^2),\;(4-2\sin(t^2))\sin(t^2)\bigr\rangle \)
Velocity vector at t = 1.5:
\( x'(t) = \dfrac{d}{dt}\bigl[(4-2\sin(t^2))\cos(t^2)\bigr] \)
\( y'(t) = \dfrac{d}{dt}\bigl[(4-2\sin(t^2))\sin(t^2)\bigr] \)
At t = 1.5: \(\vec{v}(1.5) \approx \langle -3.055,\; -6.816\rangle\)
Core Concept: Average Rate of Change as Derivative Approximation
Since 3.5 is between t = 3 and t = 4, approximate the derivative using the symmetric difference quotient (or simple difference if at an endpoint between two data points).
Core Concept: Mean Value Theorem (MVT)
If C is differentiable (given!) on [2, 4], then by MVT, there exists c ∈ (2, 4) such that \( C'(c) = \dfrac{C(4)-C(2)}{4-2} \). If this equals 2 → done!
Since this average rate of change equals 2, by the MVT there IS such a t.
By the Mean Value Theorem:
\( \dfrac{C(4)-C(2)}{4-2} = \dfrac{12.8-8.8}{2} = \dfrac{4.0}{2} = 2 \)
Therefore, there exists at least one value t ∈ (2, 4) such that C′(t) = 2.
Core Concept: Midpoint Riemann Sum
Three subintervals of length 2 on [0,6]: [0,2], [2,4], [4,6]. Midpoints are t = 1, 3, 5.
\( \int_0^6 C(t)\,dt \approx 2\cdot[C(1)+C(3)+C(5)] = 2[5.3+11.2+13.8] = 2(30.3) = 60.6 \)
Average: (1/6)·60.6 = 10.1 oz
\( \dfrac{1}{6}\int_0^6 C(t)\,dt \approx \dfrac{1}{6}\cdot 2\bigl[C(1)+C(3)+C(5)\bigr] \)
\( = \dfrac{1}{3}\bigl[5.3+11.2+13.8\bigr] = \dfrac{30.3}{3} = 10.1 \text{ ounces} \)
Interpretation: 10.1 ounces is the average amount of coffee in the cup over the 6-minute interval.
Core Concept: Derivative of Exponential Function
B′(t) = derivative of (16 − 16e^(−0.4t)). Use chain rule.
\( B'(5) = 6.4e^{-0.4(5)} = 6.4e^{-2} \approx 6.4(0.13534) \approx 0.866 \text{ oz/min} \)
Core Concept: First Derivative Test
f has a local min where f′ changes from negative to positive. Read the sign of f′ from the graph.
At x = 0: f′ starts positive. f′ changes sign at x ≈ 6 from − to +.
Core Concept: Closed Interval Method + FTC
Evaluate f at all critical points and endpoints using: \( f(x) = f(8) + \displaystyle\int_8^x f'(t)\,dt = 4 - \int_x^8 f'(t)\,dt \)
f(8) = 4
f(6) = 4 − 7 = −3 (subtract area=7 going left from 8 to 6, where f′>0)
f(0) = f(6) + ∫₀⁶f′dt = −3 + (−2+6−3) = −3 + 1 ... (check signs carefully)
Signed areas from graph: [0,1]: +2, [1,3]: −6 (below x-axis, area=6), wait — area=6 below axis means ∫₁³f′dt = −6; [3,6]: +3 above... Recheck from figure: Area=2 from [0,1], Area=6 below in [1,5] region, Area=3 below around [3,6], Area=7 above from [6,8].
Net: ∫₀⁸f′dt = 2−6−3+7 ... adjusting to labeled areas from figure: sum = 2−6+... The absolute minimum is f(0) = −4.
Core Concept: Concavity + Monotonicity
f is increasing when f′ > 0.
f is concave down when f″ < 0, i.e., when f′ is decreasing.
• f increasing: f′ > 0 → from the graph, f′ > 0 on (0,1) ... but looking at graph carefully: f′ starts positive at left, peaks, then goes below zero after some point.
• f′ decreasing (f concave down): intervals where f′ has negative slope
From graph: f′ > 0 and f′ is decreasing on (0, 1) and (3, 5)... checking against graph positions.
From the graph of f′: f′ > 0 on approximately (0, ~2) region... Looking at the graph: f′ is positive and decreasing on (0, 1) (f′ falls from its high to local min at x=1 while staying above zero? — depends on exact graph reading).
The intervals where f′ > 0 AND f′ is decreasing are: (3, 5) if f′ is positive there and decreasing, and other intervals based on the graph.
Based on the labeled graph: f′ is decreasing on (1, 3) and on (3, 5)... and f′ < 0 on portions.
Answer: (0,1) and (3,5) — verify by checking that f′ > 0 (increasing f) and f′ is decreasing (concave down f) on these intervals.
Core Concept: Chain Rule for Composite Functions
g′(x) = 3[f(x)]²·f′(x)
So g′(3) = 3·(−5/2)²·f′(3) = 3·(25/4)·0 = 0.
\( g'(3) = 3\bigl[f(3)\bigr]^2 \cdot f'(3) = 3\left(-\frac{5}{2}\right)^2 \cdot f'(3) \)
From the graph, f′ has a horizontal tangent at x = 3, meaning the graph of f′ has a local extremum there — but f′(3) is the y-value of f′ at x = 3, which from the graph is 0 (it crosses the x-axis or...). Actually from the graph label "(3,4)" is a point on the f′ graph, so f′(3) = 4.
\( g'(3) = 3\cdot\frac{25}{4}\cdot 4 = 3\cdot 25 = 75 \)
Core Concept: L'Hôpital's Rule
As x → 0: f(x) → f(0) = 1, so numerator → 0; sin(x) → 0. This is a 0/0 form → apply L'Hôpital's Rule.
Now find f′(0): from the DE, f′(0) = 2f(0) − 0² − 2 = 2(1) − 0 − 2 = 0.
\( \lim_{x\to 0}\dfrac{f(x)-1}{\sin x} = \lim_{x\to 0}\dfrac{f'(x)}{\cos x} \)
From the DE: \(f'(0) = 2f(0) - 0^2 - 2 = 2(1) - 0 - 2 = 0\)
\( = \dfrac{f'(0)}{\cos 0} = \dfrac{0}{1} = \mathbf{0} \)
Core Concept: Euler's Method
Step size h = (1/2)/2 = 1/4. Formula: y_{n+1} = y_n + h·f′(x_n, y_n).
With dy/dx = 2y − x² − 2.
Step 1: x = 0, y = 1
dy/dx = 2(1) − 0 − 2 = 0
y₁ = 1 + (1/4)(0) = 1
Step 2: x = 1/4, y = 1
dy/dx = 2(1) − (1/16) − 2 = −1/16
y₂ = 1 + (1/4)(−1/16) = 1 − 1/64 = 63/64
Core Concept: Solving a Linear First-Order ODE
\( \dfrac{dy}{dx} - 2y = -x^2 - 2 \). This is linear: dy/dx + P(x)y = Q(x) form. Use integrating factor.
\( \dfrac{d}{dx}\!\left[ye^{-2x}\right] = (-x^2-2)e^{-2x} \)
Integrating the right side (integration by parts):
\( \int(-x^2-2)e^{-2x}dx = e^{-2x}\!\left(\frac{x^2}{2}+\frac{x}{2}+\frac{1}{4}+1\right)+C \)
\( = e^{-2x}\!\left(\frac{x^2}{2}+\frac{x}{2}+\frac{5}{4}\right)+C \)
So: \( y = \dfrac{x^2}{2}+\dfrac{x}{2}+\dfrac{5}{4}+Ce^{2x} \)
Apply f(0)=1: \( 1 = \dfrac{5}{4}+C \Rightarrow C = -\dfrac{1}{4} \)
\( \boxed{y = \dfrac{x^2}{2}+\dfrac{x}{2}+\dfrac{5}{4}-\dfrac{1}{4}e^{2x}} \)
Core Concept: First-Degree Taylor Polynomial
\( P_1(x) = f(0) + f'(0)\cdot x = 4 + f'(0)\cdot x \)
Use the given value P₁(−1/2) = 3 to solve for f′(0).
\( P_1\!\left(-\tfrac{1}{2}\right) = 4 + f'(0)\cdot\left(-\tfrac{1}{2}\right) = 3 \)
\( -\tfrac{1}{2}f'(0) = -1 \implies f'(0) = -2 \qquad \square \)
Core Concept: nth-Degree Taylor Polynomial Formula
\( P_n(x) = \displaystyle\sum_{k=0}^{n}\dfrac{f^{(k)}(0)}{k!}x^k \)
\( P_3(x) = 4 + (-2)x + \dfrac{-3}{2!}x^2 + \dfrac{1/3}{3!}x^3 \)
\( = 4 - 2x - \dfrac{3}{2}x^2 + \dfrac{1}{18}x^3 \)
Core Concept: Building Taylor Polynomial via Integration
Since h′(x) = f(2x), the Taylor polynomial of h′ is P₃(2x) (substitute 2x for x in P₃). Then integrate term by term and apply h(0) = 7.
\( h'(x) = f(2x) \approx 4 - 2(2x) - \tfrac{3}{2}(2x)^2 + \tfrac{1}{18}(2x)^3 \)
\( = 4 - 4x - 6x^2 + \tfrac{4}{9}x^3 \)
Then integrate to get polynomial for h(x), and use h(0) = 7 for the constant.
Integrate to find h(x):
\( h(x) = C + 4x - 2x^2 - 2x^3 + \dfrac{1}{9}x^4 + \cdots \)
Apply h(0) = 7: C = 7.
Third-degree Taylor polynomial for h:
\( T_3(x) = 7 + 4x - 2x^2 - 2x^3 \)