Lesson 31 (11/11/26)
Approximating Area under Curves (5.1)
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- Exam 3 on Wednesday (11/18), 8pm (Lesson 21 - 31)
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Lesson 31 (11/11/26)
Approximating Area under Curves (5.1)
MWF 1:30pm - 2:30pm
Suppose you are driving on a straight road for 6 hours at a constant speed of 50 mi/hr. How far are you from the start?
Area = 300
\( V(t) = 50 = \) derivative of \( S(t) \)
\( S(t) = \) Antiderivative of \( V(t) \)
\( = 50t + c \)
If \( S(0) = 0 \implies C = 0 \)
\( S(t) = 50t \)
\( S(6) = 50 \times 6 = 300 \)
Example: Find Area under \(f(x) = -32x + 48\) on \([0, 3/2]\)
Area = Area of triangle
= \(\frac{1}{2} \times \text{base} \times \text{height}\)
= \(\frac{1}{2} \times \frac{3}{2} \times 48\)
= 36
From \( y^2 = 1 - x^2 \), we get \( x^2 + y^2 = 1 \), but \( y = \sqrt{1 - x^2} \geq 0 \).
Area = Area of Semi-circle of Radius 1
\[ = \frac{1}{2} \times \pi \times 1^2 = \frac{\pi}{2} \]
Example: Find Area under the curve \( f(x) = 4x - x^2 \) on \( [0, 4] \)
\( f'(x) = 4 - 2x = 0 \implies x = 2 \)
\( x < 2 \implies f'(x) > 0 \uparrow \)
\( x > 2 \implies f'(x) < 0 \downarrow \)
\( f''(x) = -2 < 0 \) (Concave down)
Area cannot be computed from formulas we know
But
\( 0 < \text{Area under } 4x - x^2 < 16 \)
Idea: Divide into small rectangles and approximate Area
eg: 4 Rectangles
Riemann Sum: Approximates area under \( y = f(x) \) on \( [a, b] \) using rectangles.
Each has width \( \Delta x = \frac{b-a}{n} \).
Area of that rectangle \( f(x_k^*) \Delta x \).
Approx Area = \( f(x_1^*) \Delta x + f(x_2^*) \Delta x + f(x_3^*) \Delta x + \dots + f(x_n^*) \Delta x \)
Approximate Area under \( f(x) = 4x - x^2 \) on \( [0, 4] \) using 4 rectangles and left end points.
Notation: \( L_4 \)
Divide \( [0, 4] \) into 4 equal size rectangles of width \( \Delta x = \frac{4-0}{4} = 1 \).
Sample points
\( x_1^* = 0 \)
\( x_2^* = 1 \)
\( x_3^* = 2 \)
\( x_4^* = 3 \)
Heights =
\( f(x_1^*) = 0 \)
\( f(x_2^*) = 3 \)
\( f(x_3^*) = 4 \)
\( f(x_4^*) = 3 \)
Approx Area = \( f(x_1^*) \Delta x + f(x_2^*) \Delta x + f(x_3^*) \Delta x + f(x_4^*) \Delta x \)
= \( 0(1) + 3(1) + 4(1) + 3(1) \)
= 10
Approximate Area under \( f(x) = 4x - x^2 \) on \( [0, 4] \)
using 4 Rectangles and mid points
Notation: \( M_4 \)
\[ \Delta x = \frac{4-0}{4} = 1 \]
\[ x_1^* = 1/2 \]
\[ x_2^* = 3/2 \]
\[ x_3^* = 5/2 \]
\[ x_4^* = 7/2 \]
\[ = f(x_1^*)\Delta x + f(x_2^*)\Delta x + f(x_3^*)\Delta x + f(x_4^*)\Delta x \]
\[ = f(1/2) + f(3/2) + f(5/2) + f(7/2) = 11 \]
Note: Actual = 10.667.
Divide into smaller rectangles to get better approx.
Example: 16 rectangles, right end point, \( f(x) = 4x - x^2 \) on \( [0, 4] \).
Margin Note: \( R_{16} \)
Width of each small rectangle \( = \frac{4-0}{16} = \frac{1}{4} = 0.25 \)
Sample points:
\( x_1^* = 0.25 \)
\( x_2^* = 0.25 \times 2 \)
\( x_3^* = 0.25 \times 3 \)
\( \vdots \)
\( x_{16}^* = 0.25 \times 16 = 4 \)
Add areas to get approx area
Approx Area \( = R_{16} = f(x_1^*) \Delta x + \dots + f(x_{16}^*) \Delta x = 10.625 \)
Margin Note: Actual \( 10.667 \)
\( = \sum_{k=1}^{16} f(x_k^*) \Delta x \)
\[ \sum_{k=1}^{n} a_k = a_1 + a_2 + \dots + a_n \]
Using this notation: \( n^{\text{th}} \) Riemann Sum for \( f(x) \) on \( [a, b] \)
width \( \Delta x = \frac{b-a}{n} \)
Sample points = \( x_1^*, x_2^*, \dots, x_n^* \)
Approx Area = \[ \sum_{k=1}^{n} f(x_k^*) \Delta x \]
\(\sum_{k=1}^{6} k = 1 + 2 + 3 + 4 + 5 + 6 = 21 = \frac{6(6+1)}{2} = 21\)
\(\sum_{k=1}^{100} k = \frac{(100)(101)}{2} = 5050\)
\(1^2 + 2^2 + 3^2 = \frac{3(3+1)(6+1)}{6} = 14\)
\(1^3 + 2^3 + 3^3 + 4^3 = \frac{4^2 \cdot 5^2}{4} = 100\)
\(1 + 8 + 27 + 64\)