If #f(x)=x^(1/2)#, #1 <= x <= 4# approximate the area under the curve using ten approximating rectangles of equal widths and left endpoints?
Area
We have:
# f(x) = sqrt(x) #
We want to calculate over the interval
# Deltax = (4-1)/10 = 0.3#
Note that we have a fixed interval (strictly speaking a Riemann sum can have a varying sized partition width). The values of the function are tabulated as follows;
Left Riemann Sum
# LRS = sum_("left") f(x)Deltax #
# " " = (0.3) { f(1)+f(1.3) + f(1.6) + ... +f(3.4) + f(3.7) } \ \ \ # (The LHS values)
# " " = 0.3*(1+1.140175425+1.264911064+1.378404875+#
# " " 1.483239697+1.58113883+1.673320053+#
# " " 1.760681686+1.843908891+1.923538406#
# " " = 0.3*15.04931893 #
# " " = 4.514795679 #
Actual Value
For comparison of accuracy:
# Area = int_1^4 \ x^(1/2) \ dx #
# " " = [(x^(3/2))/(3/2)]_1^4 #
# " " = 2/3[x^(3/2)]_1^4 #
# " " = 2/3{(8) - (1)} #
# " " = 14/3 #
# " " ~~ 4.6667 #
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To approximate the area under the curve of ( f(x) = \sqrt{x} ) from ( x = 1 ) to ( x = 4 ) using ten approximating rectangles with left endpoints, follow these steps:
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Calculate the width of each rectangle: ( \Delta x = \frac{b - a}{n} ), where ( a = 1 ) (lower limit), ( b = 4 ) (upper limit), and ( n = 10 ) (number of rectangles).
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Compute the height of each rectangle using the left endpoint of each subinterval: ( f(a + i\Delta x) ), where ( i = 0, 1, 2, ..., n-1 ).
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Multiply the width and height of each rectangle to find the area of each rectangle.
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Sum up the areas of all rectangles to get the approximation of the area under the curve.
So, the steps are:
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( \Delta x = \frac{4 - 1}{10} = \frac{3}{10} ).
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( f(x) = \sqrt{x} ). ( f(a + i\Delta x) = \sqrt{1 + i\left(\frac{3}{10}\right)} ), for ( i = 0, 1, 2, ..., 9 ).
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Calculate the area of each rectangle: ( \text{Area}_i = \Delta x \times f(a + i\Delta x) ), for ( i = 0, 1, 2, ..., 9 ).
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Sum up all the areas: ( \text{Approximated Area} = \sum_{i=0}^{9} \text{Area}_i ).
After computing these steps, you'll get the approximation of the area under the curve using ten approximating rectangles of equal widths and left endpoints.
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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
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