Answers will vary.
topographical
surface
The level surfaces are spheres, centered at the origin, with radius .
The level surfaces are paraboloids of the form ; the larger , the “wider” the paraboloid.
The level curves for each surface are similar; for the level curves are ellipses of the form , i.e., and ; whereas for the level curves are ellipses of the form , i.e., and . The first set of ellipses are spaced evenly apart, meaning the function grows at a constant rate; the second set of ellipses are more closely spaced together as grows, meaning the function grows faster and faster as increases.
The function can be rewritten as , an elliptic cone; the function is a paraboloid, each matching the description above.
Answers will vary.
Hint: Consider .
Hint: .
A constant is a number that is added or subtracted in an expression; a coefficient is a number that is being multiplied by a nonconstant function.
, where is any constant.
, where is any constant.
T
T
, with and . At , , so .
, with and . At , , so .
The total differential of volume is . The coefficient of is greater than the coefficient of , so the volume is more sensitive to changes in the radius.
Using trigonometry, , so . With and , we have . The measured length of the wall is much more sensitive to errors in than in . While it can be difficult to compare sensitivities between measuring feet and measuring degrees (it is somewhat like “comparing apples to oranges”), here the coefficients are so different that the result is clear: a small error in degree has a much greater impact than a small error in distance.
, . . So .
Everywhere except the origin.
Because the parametric equations describe a level curve, is constant for all . Therefore .
, and
F
; this corresponds to a minimum
, where is an integer
.
,
.
It is increasing at cm3/sec
A partial derivative is essentially a special case of a directional derivative; it is the directional derivative in the direction of or , i.e., or .
maximal, or greatest
In the direction with maximal value .
Answers will vary. The displacement of the vector is one unit in the -direction and 3 units in the -direction, with no change in . Thus along a line parallel to , the change in is 3 times the change in — i.e., a “slope” of 3. Specifically, the line in the - plane parallel to has a slope of 3.
T
,
and
(Note that this tangent plane is the same as the original function, a plane.)
F; it is the “other way around.”
T
One critical point at ; and , so this point corresponds to a relative minimum.
One critical point at ; , so this point corresponds to a saddle point.
Critical points when or are . , so the test is inconclusive. (Some elementary thought shows that these are absolute minima.)
rel. max at ; rel. min at ; saddle points at .
saddle points at and .
We can rewrite as . (We will return and use later.) Solving , we get . is also undefined at , where .
Using , we rewrite as . Solving , we get .
The function itself has a critical point at .
Checking the value of at , , , and , we find the absolute maximum is at and the absolute minimum is at .
abs max is , abs min is .
at
Length 130/3, height and width 65/3.
Max: 5 at , min: at .
as . Minimum is .