Topic 12
Critical Points & the Second Derivative Test
A critical point is where and at the same time. The second derivative test sorts each one using . If , it is a . If , it is a local min or max, by the sign of . If , the test says nothing.
4 kinds of question. Open the one you are stuck on.
1Find and classify critical points using the second derivative test
e.g. “Find and classify all critical points of …”
Find and classify critical points using the second derivative test
e.g. “Find and classify all critical points of …”- 1Compute , , , and
- 2Solve and together
Factor where you can: each factor equal to is its own case. Otherwise solve one equation for a variable and substitute into the other. Expect several points.
- 3At each point compute
- 4Classify: saddle; min if , max if
If , the test is silent. Use the recipe for when the test fails, below.
Remember: Partials, solve, D, sign.
See it in a problem3 worked examples
Find and classify all critical points of .
- 1Compute , , , and
, , , , .
- 2Solve and together
; . Points and .
- 3At each point compute
: . : .
- 4Classify: saddle; min if , max if
: and , a local max. : , a saddle point.
local max; saddle point
Find and classify all critical points of .
- 1Compute , , , and
, , , , .
- 2Solve and together
. Then or . Points and .
- 3At each point compute
: . : .
- 4Classify: saddle; min if , max if
: a saddle point. : and , a local min.
saddle point; local min
Find and classify all critical points of .
- 1Compute , , , and
, , , , .
- 2Solve and together
. Case : , so or . Case : , so . Points , , .
- 3At each point compute
: . : . : .
- 4Classify: saddle; min if , max if
and : saddle points. : and , a local min.
and saddle points; local min
Common mistakes4
- Dividing by a variable that can be . From keep both cases, and .
- Looking at when . A negative is a saddle, whatever is.
- Calling a saddle. It means "no information".
- Missing a point. Check that every case you split into gave its solutions.
2Find the values of a constant that make a critical point a saddle, max or min
e.g. “Use the Second Derivative Test to find all values of the constant for which … has a saddle point at ”
Find the values of a constant that make a critical point a saddle, max or min
e.g. “Use the Second Derivative Test to find all values of the constant for which … has a saddle point at ”- 1Check the point is critical for every value of the constant
- 2Compute at the point, in terms of the constant
- 3Set the condition: saddle; plus the sign of
- 4Solve for the constant; check separately
At the test is silent. Look at itself: it is often a perfect square.
Remember: D in terms of the constant, then an inequality.
See it in a problem2 worked examples
Use the second derivative test to find all values of for which has a saddle point at .
- 1Check the point is critical for every value of the constant
and are both at , for every .
- 2Compute at the point, in terms of the constant
, , , so .
- 3Set the condition: saddle; plus the sign of
Saddle: .
- 4Solve for the constant; check separately
. At , and : a minimum, not a saddle.
For which values of does the second derivative test show that has a local maximum at ?
- 1Check the point is critical for every value of the constant
and are both at .
- 2Compute at the point, in terms of the constant
, , , so .
- 3Set the condition: saddle; plus the sign of
Max: and .
- 4Solve for the constant; check separately
, which already makes . At , and the test is silent (there ).
Common mistakes3
- Forgetting for a max or min: alone does not say which.
- Writing for . It is : or .
- Including the boundary. At the test proves nothing, so it never "shows" a saddle.
3Classify a critical point when the second derivative test fails
e.g. “ at the critical point”
Classify a critical point when the second derivative test fails
e.g. “ at the critical point”- 1Confirm the point is critical and there
- 2Write and simplify
Factor or complete squares: squares and even powers are never negative.
- 3Test its sign along simple paths through the point
Try the lines , and . If factors, also try a curve where the factors have opposite signs.
- 4Decide: one sign throughout gives min or max; both signs give a saddle
Paths can prove a saddle. For a min or max, show the sign holds at every point near .
Remember: When D is zero, look at f itself.
See it in a problem3 worked examples
Classify the critical point of .
- 1Confirm the point is critical and there
and are both at . There , , , so .
- 2Write and simplify
.
- 3Test its sign along simple paths through the point
Both terms are at every point, and their sum is away from the origin.
- 4Decide: one sign throughout gives min or max; both signs give a saddle
Never negative, so is a local (in fact global) minimum.
Local minimum
Classify the critical point of .
- 1Confirm the point is critical and there
and are both at . There , , , so .
- 2Write and simplify
.
- 3Test its sign along simple paths through the point
On the line it is : positive for , negative for .
- 4Decide: one sign throughout gives min or max; both signs give a saddle
Both signs near : neither a max nor a min, so a saddle point.
Saddle point (neither a max nor a min)
Classify the critical point of .
- 1Confirm the point is critical and there
, so and , both at the origin. There , , , so .
- 2Write and simplify
.
- 3Test its sign along simple paths through the point
On : for small . On : for . But the curve lies between and . On it, for .
- 4Decide: one sign throughout gives min or max; both signs give a saddle
Positive along every line, negative along : a saddle point.
Saddle point, even though increases along every straight line through the origin
Common mistakes2
- Concluding "saddle" because . Zero means the test gave no answer.
- Checking only straight lines. A function can rise along every line yet dip along a curve.
4Solve a max/min word problem using critical points
e.g. “Find the most economical shape of a rectangular box …”
Solve a max/min word problem using critical points
e.g. “Find the most economical shape of a rectangular box …”- 1Name the variables and write the quantity to optimize
- 2Use the constraint to eliminate one variable
Solve the for one variable. That leaves a function of two variables. For a distance, minimize the square of the distance: same point, easier derivatives.
- 3Find the critical points of the new function
- 4Confirm it is the min or max you need
Use the second derivative test. Then check the edges: if the quantity is worse there than at your one critical point, that point wins.
- 5Answer the question asked
Dimensions, the point, the distance or the cost, with units.
Remember: Model, eliminate, critical point, confirm, answer.
See it in a problem3 worked examples
An open-top box must hold . The base costs 3 dollars per and the sides 2 dollars per . Find the cheapest dimensions and their cost.
- 1Name the variables and write the quantity to optimize
Base , height . Cost , with .
- 2Use the constraint to eliminate one variable
, so for .
- 3Find the critical points of the new function
and , so . Then and : the point .
- 4Confirm it is the min or max you need
, , : and , a min. at the edges, so it is the cheapest.
- 5Answer the question asked
Base m, height m, cost dollars.
m, costing 36 dollars
Find the point on the plane closest to the origin, and its distance from the origin.
- 1Name the variables and write the quantity to optimize
Minimize the squared distance for points on the plane.
- 2Use the constraint to eliminate one variable
, so .
- 3Find the critical points of the new function
and , so .
- 4Confirm it is the min or max you need
, , : and , a min. far away, so it is the closest.
- 5Answer the question asked
: the point , at distance .
, at distance
Find positive numbers , , with that make as large as possible.
- 1Name the variables and write the quantity to optimize
Maximize subject to .
- 2Use the constraint to eliminate one variable
, so for and .
- 3Find the critical points of the new function
and . Inside the region only the last factors can be : and , so .
- 4Confirm it is the min or max you need
At : , , so and , a max. on the edges, so it is the largest.
- 5Answer the question asked
, , and .
, , , giving the maximum
Common mistakes3
- Forgetting to recover the eliminated variable: the box's height, the point's .
- Stopping at a critical point without checking it is the max or min you were asked for.
- Minimizing a distance with the square root still on. Square it first.
Need the formulas? Must memorize · Flashcards
