riemann sums a method for approximating the areas of irregular regions
TRANSCRIPT
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Riemann SumsA Method For Approximating the Areas of Irregular Regions
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Topics of Discussion The Necessity for Approximation Left Hand Rectangular
Approximation Methods Right Hand Rectangular
Approximation Methods Midpoint Rectangular
Approximation Methods Approximations from Numeric Data Comparing the Methods
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The Necessity for Approximation
In previous courses, you’ve learned how to find the areas of regular geometric shapes using various formulas…
bhA2
1
lwA
212
1bbhA
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The Necessity for Approximation
However, when we have shapes like these, there are no nice, neat formulas with which to calculate their area…
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The Necessity for Approximation
To address this issue, we use a large number of small rectangles to approximate the area of one of these irregular regions. We may choose to use rectangles with different widths or rectangles with the same width.
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The Necessity for Approximation
Things to Remember When we know a function, it is best
to approximate the area using rectangles with the same width.
When we only know certain points of the function, we will let those points dictate the widths of the rectangles that we use.
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The BIG Unanswered Question???
We’ve talked about the widths of the rectangles that we will use for approximation, but how will we decide what the heights of these rectangles will be?
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Determining the Heights of our Rectangles
Basically, unless specified, we can use any point on the function in the given interval for the height of a rectangle. However, we typically choose to use one of 3 points:
The Left Endpoint
The Right Endpoint
The Midpoint
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Left Hand Rectangular Approximation Method
As its name indicates, in the Left Hand Rectangular Approximation Method (LRAM), we will use the value of the function at the left endpoint to determine the heights of the rectangles.
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Left Hand Rectangular Approximation Method
0.4 width has oneeach ,rectangles 5 into subdivided isit Since
.2 to0for ofgraph theisgraph particular This 2 xxxy
left at the startingfunction theof value thefind toneed weSo, 0.4every then and 0,namely rectangle,first theofendpoint
.rectangles theof all of heights theus give willThis .after that
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Left Hand Rectangular Approximation Method
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8.04.04.04.004.05
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56.24.044.14.064.04.016.04.004.05 LRAM 92.1
widthby the heights theof oneeach multiply can weThen,
.rectangles theofeach of area thefind to
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Right Hand Rectangular Approximation Method
As its name indicates, in the Right Hand Rectangular Approximation Method (RRAM), we will use the value of the function at the right endpoint to determine the heights of the rectangles.
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Right Hand Rectangular Approximation Method
0.4 width has oneeach ,rectangles 5 into subdivided isit Since
.2 to0for ofgraph theisgraph particular This 2 xxxy
right at the startingfunction theof value thefind toneed weSo, 0.4every then and 0.4,namely rectangle,first theofendpoint
.rectangles theof all of heights theus give willThis .after that
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Right Hand Rectangular Approximation Method
widthby the heights theof oneeach multiply can weThen,.rectangles theofeach of area thefind to
0.24.06.14.0
2.14.08.04.04.04.05
ff
fffRRAM
have we, Since 2xxf
44.056.24.044.14.064.04.016.04.05 RRAM 52.3
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Midpoint Rectangular Approximation Method
As its name indicates, in the Midpoint Rectangular Approximation Method (MRAM), we will use the value of the function at the midpoint to determine the heights of the rectangles.
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Midpoint Rectangular Approximation Method
0.4 width has oneeach ,rectangles 5 into subdivided isit Since
.2 to0for ofgraph theisgraph particular This 2 xxxy
at the startingfunction theof value thefind toneed weSo,0.4every then and 0.2,namely rectangle,first theofmidpoint
.rectangles theof all of heights theus give willThis .after that
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Midpoint Rectangular Approximation Method
widthby the heights theof oneeach multiply can weThen,.rectangles theofeach of area thefind to
8.14.04.14.0
0.14.06.04.02.04.05
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fffMRAM
have we, Since 2xxf
24.34.096.14.014.036.04.004.04.05 MRAM 64.2
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Approximations from Numeric Data
These methods for approximation are most useful when we don’t actually know a function, but where we have several numerical data points that have been collected. In this situation, the widths of our rectangles will be determined for us (and may not all be the same).
Time Speed
0 3
3 8
5 14
11 7
15 18
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Approximations from Numeric Data
Time Speed
0 3
3 8
5 14
11 7
15 18
To find the distance traveled in this situation, we can choose to use either LRAM or RRAM (but not MRAM since we don’t know the values at the midpoints. However, unlike our previous examples, the widths of our rectangles will all be different.
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Approximations from Numeric Data
476142833 LRAM
Time Speed
0 3
3 8
5 14
11 7
15 18
To find LRAM, we will use the function value at the left endpoint and the varying widths of rectangles.
137LRAM
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Approximations from Numeric Data
4186721438 RRAM
Time Speed
0 3
3 8
5 14
11 7
15 18
To find RRAM, we will use the function value at the right endpoint and the varying widths of rectangles.
166RRAM
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Resource Pages
http://www.math.ucla.edu/~ronmiech/Java_Applets/Riemann/
http://www.synergizedsolutions.com/simpsons/pictures.shtml