Steepest Ascent and Steepest Descent
Definition (Steepest Ascent-Descent) The direction of the greatest rate of increase (or decrease) of a given function at a specified point is called the direction of steepest ascent (or steepest descent).
Proposition (Steepest Ascent-Descent) Suppose
is differentiable at the point
and that the gradient of
at
satisfies
Then
(i) The largest value of the directional derivative
at
is
and occurs when the unit vector
points in the direction of
![]()
(ii) The smallest value of the directional derivative
at
is
and occurs when the unit vector
points in the direction of
![]()
Proof. If
is any unit vector, then
where
is the angle between
and
But
assumes its largest value of 1 at
that is, when
points in the direction
Thus, the largest possible value of
is
Also
assumes its smallest value
when
This value occurs when
points toward
and in this direction
![]()
Example (Steepest Ascent-Descent) Find the steepest ascent or steepest descent.
(a) In what direction is the function defined by
increasing most rapidly at the point
, and what is the maximum rate of increase? In what direction is
decreasing most rapidly?
Solution. We begin by finding the gradient of
![]()
![]()
At
,
The most rapid rate of increase is
and occurs in the direction of
The most rapid rate of decrease occurs in the direction of
and is
![]()
(b) Let
At the point
find the unit vector pointing in the direction of most rapid increase of
Solution. The gradient is
Thus,
and so
![]()
(c) Find the maximum rate of change of
at the point
and the direction in which it occurs.
Solution. We compute
![]()
![]()
Thus the maximum rate of change is
and occurs in the direction of
![]()
(d) Find the maximum rate of change of
at the point
and the direction in which it occurs.
Solution. We compute
![]()
![]()
Thus the maximum rate of change is
and occurs in the direction of
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
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Steepest Ascent And Steepest Descent
Published by Library of Math -- Online math organized by subject into topics.
Written by Smith, David A.
http://www.libraryofmath.com/steepest-ascent-and-steepest-descent.html


