Directional Derivatives of a vector ----gradient of f(P)----

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Discussion Overview

The discussion centers around the concept of directional derivatives of a differentiable real-valued function in three-dimensional space, specifically exploring the relationship between tangent vectors and gradients. It includes theoretical aspects, mathematical reasoning, and references to educational resources.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • Post 1 introduces the definition of directional derivatives and poses questions about the role of the gradient in the context of the tangent vector and the application of the chain rule.
  • Post 2 claims that the directional derivative can be expressed as a dot product between the tangent vector and the gradient, confirming the intuition behind the initial questions posed.
  • Post 3 suggests additional reading materials, specifically recommending "Vector Calculus, Linear Algebra, and Differential Forms" by Hubbard for its pedagogical quality.
  • Post 4 reiterates the recommendation of the Hubbard book and expresses enthusiasm about its pedagogical style, sharing a visual representation related to the lemma discussed.
  • Post 5 expresses appreciation for the book suggestion and shares excitement about its pedagogical approach.

Areas of Agreement / Disagreement

Participants generally agree on the validity of the dot product representation of the directional derivative and the application of the chain rule. However, the discussion does not resolve whether there are alternative interpretations or methods regarding the gradient's role.

Contextual Notes

Some participants reference educational materials and personal insights, indicating a reliance on external sources for understanding the concepts discussed. There is an emphasis on the pedagogical aspects of the recommended texts, which may influence the interpretation of the mathematical ideas.

Ishika_96_sparkles
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TL;DR
Confusion about the gradient term in the derivation.
Definition: Let f be a differentiable real-valued function on ##\mathbf{R}^3##, and let ##\mathbf{v}_P## be a tangent vector to it. Then the following number is the derivative of a function w.r.t. the tangent vector

$$\mathbf{v}_p[\mathit{f}]=\frac{d}{dt} \big( \mathit{f}(\mathbf{P}+ t \mathbf{v}) \big)|_{t=0}$$

Then there is this

Lemma: If ##\mathbf{v}_p= (v_1,v_2,v_3)_P## is a tangent vector to ##\mathbf{R}^3##, then

\mathbf{v}_p[\mathit{f}]= \sum_i v_i \frac{d \mathit{f}}{dx_i}(P)

1) How does this gradient term come into the picture? Since, \mathit{f}(\mathbf{P}+ t \mathbf{v}), do we write the argument as \mathbf{x}(t) and then apply the chain-rule in the definition?

2) Could this be thought of as a dot-product ##\mathbf{v}_P \,. \, \nabla \mathit{f}|_p ##?
 
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2) is solved. Indeed its a dot product between the tangent vector and the basis frames.

The question 1) is solved too. The intuition was correct that it has to do with x_i (t)= p_i+ t v_i. The curve along this vector is parameterized by t and the coordinates of the space are a function of this parameter i.e. \{x_1(t),x_2(t),x_3(t)\}. Finally, the chain rule is applied on the real-valued function f as

\sum_{i=1}^3 \frac{df}{dx_i}\frac{dx_i}{dt}=\sum_{i=1}^3\frac{df}{dx_i}\, v_i

I was reading from some pdf notes, earlier. Now, I've found the book to learn it properly.
It is the Differential Geometry by Erwin Kreyszig.
 
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Maybe you can also try Hubbard ,Vector Calculus,lineare Algebra and differential forms.It is didactically one of the best books on this level.

Here is nice picture to the Lemma:

image.jpg
 
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troglodyte said:
Maybe you can also try Hubbard ,Vector Calculus,lineare Algebra and differential forms.It is didactically one of the best books on this level.

Here is nice picture to the Lemma:

View attachment 264020

Simply WOW!

I just saw the preview and fell in love wit the pedagogical style. Thank you so much for such a wonderful suggestion. :biggrin:
 
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Ishika_96_sparkles said:
Simply WOW!

I just saw the preview and fell in love wit the pedagogical style. Thank you so much for such a wonderful suggestion. :biggrin:
I am glad that this Suggestion could help you🙂
 
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