What is the Calculation for 3D Slope?

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Discussion Overview

The discussion revolves around the concept of calculating the slope of a line in three-dimensional space, comparing it to the two-dimensional slope defined as $$\frac{\Delta{y}}{\Delta{x}}$$. Participants explore how to combine the three 2D slopes into a single 3D slope and the implications of directional derivatives in this context.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant notes that slope in 2D is defined as $$\frac{\Delta{y}}{\Delta{x}}$$ and questions how to extend this to 3D, suggesting that there are three 2D slopes: $$\frac{\Delta{y}}{\Delta{x}}$$, $$\frac{\Delta{y}}{\Delta{z}}$$, and $$\frac{\Delta{z}}{\Delta{x}}$$.
  • Another participant introduces the concept of directional derivatives as a means to find the slope in any direction on a 3D graph, indicating that there are infinite directions for slope in 3D.
  • One participant emphasizes that for a single line in 3D, there is only one direction for the slope, implying a need to combine the three 2D slopes into a single 3D slope.
  • A later reply suggests expressing the 3D line parametrically or using a vector representation, noting that the complexity increases in 3D compared to 2D.

Areas of Agreement / Disagreement

Participants express differing views on how to conceptualize and calculate the slope in 3D. While some agree on the need to combine the 2D slopes, others introduce alternative methods like directional derivatives, indicating that the discussion remains unresolved.

Contextual Notes

The discussion does not resolve how to definitively combine the 2D slopes into a 3D slope, and there are varying interpretations of how to approach the concept of slope in three dimensions.

caters
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I know that slope in 2D = $$\frac{\Delta{y}}{\Delta{x}}$$.

But what about 3D slope?

I mean for every line in 3D there are 3 2D slopes. Those are:
$$\frac{\Delta{y}}{\Delta{x}}$$ $$\frac{\Delta{y}}{\Delta {z}}$$ and $$\frac{\Delta{z}}{\Delta{x}}$$

But how do you combine those 3 slopes to form 1 3D slope?

And if you think this is homework it isn't. I am just trying to extrapolate the concept of the slope of a line to lines in higher dimensions.
 
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There are an infinite amount of directions to have slope on a 3-D graph. You may want to look into partial derivatives (which are generally confined to 2 different directions). However, using what's called directional derivatives, you can find the slope in any direction.
 
But for a single line instead of a plane there is 1 and only 1 direction for the slope because of the line being described in 3D instead of 2D. This means that there should be a way to combine the 3 2D slopes into 1 3D slope.
 
caters said:
But for a single line instead of a plane there is 1 and only 1 direction for the slope because of the line being described in 3D instead of 2D. This means that there should be a way to combine the 3 2D slopes into 1 3D slope.

You might want to express your 3-D line parametrically or use a vector representation.

http://mathworld.wolfram.com/Line.html

While the slope of a line in 2-dimensions is a handy thing to know, things get more complicated in 3-dimensions, which is why different formulations for the equation of the line in space have been adopted.
 

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