Critical Points
Definition (Critical Point) A critical point of a function defined on an open set
is a point
in
where either one of the following is true: (i)
or (ii) at least one of
or
does not exist at
A critical point
is called a saddle point of
if every open disk centered at
contains points in the domain of
that satisfy
as well as points in the domain of
that satisfy
Example (Critical Point) Find the critical points for the given functions.
(a) Let
Then
These partial derivatives are equal to 0 when
and
so the only critical point is
By completing the square we find that
Since
and
we have
for all values of
and
Therefore,
is a local minimum, and in fact it is the absolute minimum of
This can be confirmed geometrically from the graph of
, which is the elliptic paraboloid with vertex
as shown.
![critical points _gr_30.gif]](pages/critical-points/Images/critical-points_gr_30.gif)
(b) Find the extreme values of
Solution. Since
and
the only critical point is
Notice that for points on the
-axis we have
so
(if
) However for points on the
-axis we have
so
(if
) Thus every disk with center
contains points where
takes positive values as well as points where
takes negative values. Therefore
cannot be an extreme value for
so
has no extreme values. This example illustrates the fact that a function need not have a maximum or minimum value at a critical point. The graph of
is the hyperbolic paraboloid which has a horizontal tangent plane
at the origin. You can see that
is a maximum in the direction of the
but not in the direction of the
-axis. Near the origin the graph has the shape of a saddle.
![critical points _gr_54.gif]](pages/critical-points/Images/critical-points_gr_54.gif)
Recommended Reading
functions of several variables
graphs of functions
polynomial functions
rational functions
level curves
level surfaces
limits of multivariate functions
continuity of multivariate functions
partial derivatives
higher order partial derivatives
tangent planes
total differential
linear approximation with multivariate functions
differentiability
chain rule with one independent parameter
chain rule with two independent parameters
chain rule with several independent parameters
directional derivatives
the gradient
the gradient and directional derivatives
steepest ascent and steepest descent
normal property of the gradient
tangent planes and normal lines
relative extrema
critical points
second partials test
absolute extrema
lagrange multipliers with one parameter
lagrange multipliers with two parameters
Recommended Math Books
Thomas' Calculus, Early Transcendentals, Media Upgrade (11th Edition)
Thomas' Calculus, Media Upgrade (11th Edition)
Thomas' Calculus Early Transcendentals; Student's Solutions Manual; Part One
Calculus (With Analytic Geometry)(8th edition)
Calculus (Stewart's Calculus Series)
Applied Calculus
Calculus Textbooks
Elementary Calculus
Advanced Calculus
Supplementary Resources
Recommended Math Gifts
Math Happy
Calculus Happy
Homework Happy
Limits Happy
I Love Math
I Love Calculus
I Love Homework
I Love Multivariate Calculus
I Love Limits
Cite this as: Critical Points Published by Library of Math -- Online math organized by subject into topics.
Written by Smith, David A.
http://www.libraryofmath.com/critical-points.html
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