What Does the Gradient Operator Really Mean?

Click For Summary

Homework Help Overview

The discussion revolves around understanding the gradient operator in the context of scalar fields, particularly as described in Griffith's Electrodynamics. The original poster expresses difficulty in grasping the concept of the gradient and its implications regarding the direction of maximum increase of a function.

Discussion Character

  • Conceptual clarification, Exploratory

Approaches and Questions Raised

  • Participants explore the relationship between the gradient and the directional derivative, questioning how to determine the direction that maximizes the derivative. Some suggest looking into articles for better intuition about the gradient's meaning.

Discussion Status

There are various attempts to clarify the concept of the gradient, with some participants providing resources for further reading. The discussion is ongoing, with no clear consensus reached yet.

Contextual Notes

The original poster is seeking a deeper understanding of the gradient operator, indicating a potential gap in foundational knowledge that may affect their comprehension of the topic.

utkarshakash
Gold Member
Messages
852
Reaction score
13

Homework Statement


I need some help regarding the gradient operator. I recently came across this statement while reading Griffith's Electrodynamics
"The gradient ∇T points in the direction of maximum increase of the function
T."


Wolfram Alpha also states that "The direction of ∇f is the orientation in which the directional derivative has the largest value and |∇f| is the value of that directional derivative. "

I'm finding it difficult to absorb this thing without any reasonable explanation. Can someone help?


Homework Equations





The Attempt at a Solution

 
Physics news on Phys.org
Take a scalar field, [itex]T(\vec{x})[/itex] and calculate the directional derivative in direction of the unit vector [itex]\vec{n}[/itex] at a fixed point [itex]\vec{x}=\vec{x}_0[/itex]. How is it related to the gradient? In which direction do have to choose [itex]\vec{n}[/itex] such that (modulus of) the directional derivative becomes maximal?
 
Infinitum said:
I'm unsure whether you know what a gradient is, but if you wish to get a better intuition of why it points to the direction of greatest increase of a function, I've found these articles very useful.

http://betterexplained.com/articles/vector-calculus-understanding-the-gradient/
http://betterexplained.com/articles/understanding-pythagorean-distance-and-the-gradient/

For an actual proof, of course, you can proceed as vanhees71 suggested.

Thank you very much! This article explains it very nicely.
 

Similar threads

  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 3 ·
Replies
3
Views
6K
  • · Replies 16 ·
Replies
16
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 22 ·
Replies
22
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 8 ·
Replies
8
Views
5K
  • · Replies 6 ·
Replies
6
Views
2K