How do I find the directional derivative?

Click For Summary
SUMMARY

The directional derivative of the function f(x,y) = ln(sqrt(x^2 + y^2)) at any point (x,y) ≠ (0,0) toward the origin can be calculated using the gradient and a unit vector in the desired direction. The gradient is given by grad f(x,y) = (1/(x^2 + y^2))(xi + yj). The directional derivative is computed as the dot product of the gradient and the unit vector, which can be represented as ∇f · (cos(θ)i + sin(θ)j). The final result simplifies to (x^2 + y^2)^(-1/2), confirming the correctness of the approach.

PREREQUISITES
  • Understanding of multivariable calculus concepts, specifically directional derivatives.
  • Familiarity with gradient vectors and their properties.
  • Knowledge of unit vectors and their calculation.
  • Basic trigonometry, particularly sine and cosine functions.
NEXT STEPS
  • Study the properties of gradient vectors in multivariable calculus.
  • Learn how to compute directional derivatives for various functions.
  • Explore the concept of unit vectors and their applications in vector calculus.
  • Investigate the implications of directional derivatives in optimization problems.
USEFUL FOR

Students and professionals in mathematics, particularly those studying calculus, as well as anyone involved in fields requiring optimization and analysis of multivariable functions.

mnky9800n
Messages
4
Reaction score
0
Find the directional derivative of f(x,y)= ln sqrt(x^2+y^2) at (x,y) does not = (0,0) toward the origin


I found the gradient: grad f(x,y)=1/(x^2+y^2)*(xi+yj) but I have no idea what to do after that.
 
Physics news on Phys.org
mnky9800n said:
Find the directional derivative of f(x,y)= ln sqrt(x^2+y^2) at (x,y) does not = (0,0) toward the origin


I found the gradient: grad f(x,y)=1/(x^2+y^2)*(xi+yj) but I have no idea what to do after that.

How are you given the direction? The directional derivative of f(x,y) in the direction of the unit vector \vec{u} is \nabla f\cdot \vec{u}.

The directional derivative of of f(x,y) in the direction of any vector \vec{v} can be done by finding a unit vector in that direction first: \vec{v}/|\vec{v}| and is \nabla f\cdot \vec{v}/|\vec{v}|.

If the direction is at angle \theta with the x-axis (whether the point at which you are finding the derivative is (0,0) or not), then a unit vector in that direction is cos(\theta)\vec{i}+ sin(\theta)\vec{j} and so the directional derivative is
\nabla f(x,y)\cdot (cos(\theta)\vec{i}+ sin(\theta)\vec{j})= \frac{\partial f}{\partial x}cos(\theta)+ \frac{\partial f}{\partial y}sin(\theta)

Of course, if the angle \theta is with the y-axis, just swap "sine" and "cosine".
 
When re-examining the problem I solved for grad f*u/|u| which gives (xi+yj)/[sqrt(x^2+y^2)]*[1/(x^2+y^2)*(xi+yj)] which when solved gives: (x^2+y^2)^(-1/2) which I believe is the correct answer.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
9
Views
2K
Replies
26
Views
4K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K