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Double Integrals over Rectangles

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Section 16.1 Double Integrals over Rectangles A CLOSED RECTANGLE VOLUME OVER A RECTANGLE PARTITIONING THE RECTANGLE Partition [a, b] into m equal subintervals [xi ... – PowerPoint PPT presentation

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Title: Double Integrals over Rectangles


1
Section 16.1
  • Double Integrals over Rectangles

2
A CLOSED RECTANGLE
A closed rectangle in the plane is the region
given by
3
VOLUME OVER A RECTANGLE
Consider the function f defined on a closed
rectangle R and that f (x, y) 0. The graph of
f is a surface with equation z f (x, y).
Let S be the solid that lies above R and under
the graph of f, that is Our goal is to find the
volume of the solid S.
4
PARTITIONING THE RECTANGLE
  1. Partition a, b into m equal subintervals xi -
    1, xi of equal width ?x (b - a)/m.
  2. Partition c, d into n equal subintervals yj -
    1, yj of equal width ?y (c - d)/n.
  3. Create subrectangles Rij, each of area ?A ?x
    ?y as follows

5
VOLUME OVER A RECTANGLE
To find the volume over a close rectangle R
  1. Choose a sample point in each Rij.
  2. Find the volume in the rectangular column formed
    by Rij, that is
  3. Sum all the volumes and take the limit.

6
THE DOUBLE INTEGRAL
The double integral of f over the rectangle R
is if the limit exits.
NOTE The function f does not have to be
positive. Its graph can be below the xy-plane.
7
For each subrectangle Rij, if we choose the
sample point to be (xi, yj), then the expression
for the double integral simplifies to
8
VOLUME AND DOUBLE INTEGRALS
If f (x, y) 0, then the volume V of the solid
that lies above the rectangle R and below the
surface z f (x, y) is
9
DOUBLE RIEMANN SUM
The sum is called the double Riemann sum and is
used to approximate the value of the double
integral.
10
MIDPOINT RULE FOR DOUBLE INTEGRALS
where is the midpoint of xi - 1, xi
and is the midpoint of yj - 1, yj.
11
AVERAGE VALUE
The average value of a function f of two
variables defined on a rectangle R is where
A(R) is the area of R.
12
PROPERTIES OF THE DOUBLE INTEGRAL
If f (x, y) g(x, y) for all (x, y) in R, then
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