Is the Gradient the Same as the Slope in Linear Functions?

  • Context: High School 
  • Thread starter Thread starter SleSSi
  • Start date Start date
  • Tags Tags
    Gradient
Click For Summary

Discussion Overview

The discussion centers around the concept of gradient in relation to linear functions, particularly examining whether the gradient is equivalent to the slope. It involves both basic algebraic manipulation and calculus definitions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant asks how to find the gradient of the equation y - 3x = 2.
  • Another participant explains the gradient as a vector field, providing the gradient components for the function and noting that they are constant for linear functions.
  • A participant expresses confusion about the function being discussed, suggesting that clarity is needed to determine the gradient.
  • There is a suggestion that the original poster may only be seeking the gradient of a straight line.
  • One participant reiterates the need for clarity regarding the function to ascertain the gradient, stating that an equation is not necessarily a function.
  • A question is raised about the relationship between the gradient vector and the slope, leading to a response that for linear functions, the gradient is indeed the slope.

Areas of Agreement / Disagreement

Participants express uncertainty about the function being analyzed and whether the gradient and slope are equivalent. There is no consensus on the clarity of the original question or the definitions being used.

Contextual Notes

There are limitations regarding the assumptions made about the function and the definitions of terms like gradient and slope, which may vary in different contexts.

SleSSi
Messages
6
Reaction score
0
how do u find the gradient of y-3x=2 :confused:
 
Physics news on Phys.org
in terms of calculus, the gradient is defined to be a vector field, that is, given a function it will assign a vector to each point of the function. the components of each vector tell how much the function is changing in that direction.

[tex]grad(f) = \frac{\partial{f}}{\partial{x}}i + \frac{\partial{f}}{\partial{y}}j[/tex]

is the vector field. so in your example:

[tex]\frac{\partial{f}}{\partial{x}} = -3[/tex]

[tex]\frac{\partial{f}}{\partial{y}} = 1[/tex]

so:

[tex]grad(y-3x-2) = -3i + j[/tex]

notice that the component of the gradient of your function are constant...thats because your function just a line. if your function were something more complicated, then your components would be functions and your would evaluate them at a particular point because your gradient would then vary as a true vector field.
 
i am puzzled. you have not said what the function is, so i do not know what the rgadient is.

if the function is f(x,y) = y-3x = -3x+y, then the gradient is the same everywhere, namely (-3,1).

same if the function is f(x,y) = -3x+y-2 as has been assumed above, but this is not clear from your question. an equation is not a function, unless meant sas the graph of the function, in which case you would be giving the function y = 2-3x whose "gradient is -3.
 
I think he just wanted the gradient of a straight line..
 
mathwonk said:
i am puzzled. you have not said what the function is, so i do not know what the rgadient is.

if the function is f(x,y) = y-3x = -3x+y, then the gradient is the same everywhere, namely (-3,1).

same if the function is f(x,y) = -3x+y-2 as has been assumed above, but this is not clear from your question. an equation is not a function, unless meant sas the graph of the function, in which case you would be giving the function y = 2-3x whose "gradient is -3.

The gradient vector isn't perpendicular to the slope?
 
whozum said:
The gradient vector isn't perpendicular to the slope?

No, for a linear function the gradient is the slope (in "British-speaking" places).
 
Last edited:

Similar threads

  • · Replies 18 ·
Replies
18
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K