Undergrad Help with understanding inexact differential

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Equation 145 distinguishes between "slope" and "gradient," with the former commonly used in the US and the latter in Europe, emphasizing that the gradient indicates direction in a multi-dimensional context. The discussion clarifies that while a slope represents a specific direction, a gradient can suggest movement in multiple directions from a point. Equation 147's derivation is questioned, particularly the term #X′Y′/τ#, which remains unclear to some participants. The conversation highlights the importance of understanding these concepts in the context of differential equations. Overall, the thread seeks clarity on the definitions and applications of these mathematical terms.
granzer
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vRe9k.png


How is equation 145 giving a direction(ie gradient) and not a slope?.

Also here

rexHO.png


how is equation 147 arrived at?

Any help would be much appreciated.
 

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Can someone please explain this to me. Haven't been able to find an answer .
 
granzer said:
In

View attachment 214932

How is equation 145 giving a direction(ie gradient) and not a slope?.Also here

View attachment 214933

how is equation 147 arrived at?

Any help would be much appreciated.
I can just barely read the images you posted.
For your first question, in the US, we tend to call ##\frac {dy}{dx}## a slope; in Europe, people tend to call this a gradient. I prefer to reserve the term gradient to functions such as this: If z = f(x, y), then ##\nabla z = (\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y})##

If y = 3x, then y' or (##\frac{dy}{dx}##) = 3. This gives a direction in the sense that from any point on the graph of this line, you can get to another point by going right 1 unit and then up 3 units.

Same idea for your second question.
 
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Mark44 said:
I can just barely read the images you posted.
For your first question, in the US, we tend to call ##\frac {dy}{dx}## a slope; in Europe, people tend to call this a gradient. I prefer to reserve the term gradient to functions such as this: If z = f(x, y), then ##\nabla z = (\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y})##

If y = 3x, then y' or (##\frac{dy}{dx}##) = 3. This gives a direction in the sense that from any point on the graph of this line, you can get to another point by going right 1 unit and then up 3 units.

Same idea for your second question.
@Mark44 Hello Sir,

Thank you so much. The answers u gave have cleared my doubt about equation 147 and I completely agree with you. I was wondering if it should be given as a slope. And yes going right 1 step and going up 3 step gives a direction from the point. But it is also true going 3 step down and one step back we can get another point. So the direction is both front and back and not a particular direction that would be given by a gradient. But if we take gradient to mean slope here then my doubt is cleared.

But with regard to eq 147, it is given:

##∂σ/∂x=X'∂σ/∂y=X'Y'/τ##

I am not understanding how #X′Y′/τ# is got here.
Any clarification on this would be really helpful.
So sorry about the image quality. The image I uploaded was very good. Don't know how to upload the image with that resolution here. Here is the image I uploaded https://i.stack.imgur.com/APHR9.png

Also, the first image is https://i.stack.imgur.com/cj7YG.png
 

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