Confusion about gradient in classical mechanics

In summary, the conversation discusses a potential energy equation for two particles exerting a force on each other in the absence of external forces. The equation involves taking the derivative of the potential energy with respect to the coordinates of particle 1. The conversation also explores the conceptual understanding of this derivative and how it relates to the coordinates and origins of the particles.
  • #1
fuserofworlds
12
0
I'm currently going over some mechanics notes and am confused about the following situation:

In the book I'm looking at, it describes two particles absent of external forces, only exerting a force on each other. In deriving a potential energy equation for the two, it goes on to say that if the force is conservative and the second particle placed at the origin, one can say $$\vec{F}_{12} = -\vec{\nabla}_1 U(r_1) = -\frac {\partial U(r_1)}{\partial x_1} \hat{x} - \frac {\partial U(r_1)}{\partial y_1} \hat{y} - \frac {\partial U(r_1)}{\partial z_1} \hat{z} $$ where ##x_1, y_1, z_1## are the coordinates of particle 1, and ##\vec{F}_{12}## is the force on particle 1 due to particle 2.

My problem is, conceptually, I don't understand what ##\partial U/\partial x_1## is supposed to mean. What's the difference between ##\partial U/\partial x_1## and ## \partial U/\partial x##? Is there any?
 
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  • #2
##\vec r_1 = (x_1, y_1, z_1) ## is the displacement of particle 1. So ## x_ 1 ## and ## \partial f \over \partial x_1 ## are well defined, they have to with the ##x## coordinate of particle 1.
 
  • #3
I think the 1 refers to particle one which has coordinates x1, y1, z1 vs the other particle at x2,y2,z2
 
  • #4
I understand that it refers to the coordinates of particle one, but I don't see why this is necessary. Isn't the derivative taken with respect to the axes? x, y, and z are variables and ##\vec{r}_1## is the position of particle one. If I take the derivative with respect to ##x_1##, aren't I taking the derivative with respect to a number? Can I even do that?
 
  • #5
fuserofworlds said:
I understand that it refers to the coordinates of particle one, but I don't see why this is necessary. Isn't the derivative taken with respect to the axes? x, y, and z are variables and ##\vec{r}_1## is the position of particle one. If I take the derivative with respect to ##x_1##, aren't I taking the derivative with respect to a number? Can I even do that?

If you had a system of a single particle like a projectile from a cannon. You would describe the system in terms of x,y,z understanding them to be variables that change in time.

Now you have two particles each with an x,y,z that change in time and so we number them with the understanding that 1 refers to particle 1 and 2 refers to particle 2. The system has six changing variables that are linked by the equations of motion for the system.
 
  • #6
fuserofworlds said:
I understand that it refers to the coordinates of particle one, but I don't see why this is necessary. Isn't the derivative taken with respect to the axes?

Is that how you were taught in multivariate calculus? Have you covered functions of more than three variables?
 
  • #7
voko said:
Is that how you were taught in multivariate calculus? Have you covered functions of more than three variables?

I realize I phrased that wrong. What I mean is, in general your function for the potential will be a function of ##\vec{r}## in general, or U(x,y,z). Mathematically, how does one then take ##(\partial U/\partial x_1, \partial U/\partial y_1, \partial U/\partial z_1)##, and how is that different from taking ##(\partial U/\partial x, \partial U/\partial y, \partial U/\partial z)##? I just don't understand how the distinction plays out mathematically.
 
  • #8
fuserofworlds said:
I realize I phrased that wrong. What I mean is, in general your function for the potential will be a function of ##\vec{r}## in general, or U(x,y,z). Mathematically, how does one then take ##(\partial U/\partial x_1, \partial U/\partial y_1, \partial U/\partial z_1)##, and how is that different from taking ##(\partial U/\partial x, \partial U/\partial y, \partial U/\partial z)##? I just don't understand how the distinction plays out mathematically.

I guess you didn't read my post, oh well...
 
  • #9
fuserofworlds said:
I realize I phrased that wrong. What I mean is, in general your function for the potential will be a function of ##\vec{r}## in general, or U(x,y,z).

No, that is not true in general. What you say is correct in the case of one particle interacting with some potential field; the potential energy of a multi-particle system will generally be a function of the coordinates of all the particles, pretty much by definition: $$\vec F_i = -{\partial U \over \partial \vec r_i}, $$ where ##\vec r_i## is the displacement of the i-the particle, and ##\vec F_i ## is the total force acting on the i-th particle.
 
  • #10
jedishrfu said:
I guess you didn't read my post, oh well...

I did, but am still a little confused, though I think I am closer to understanding. If there were a system of two particles each with their own coordinates, and you wanted to compute ∂U/∂x, you would just do it with respect to a given origin, correct?

What confuses me is that, if (as in the book's example) particle 2 is taken to be at the origin, then in my mind the potential should just depend on the position of particle 1. If you take the derivative with respect to ##\vec{r}_1##, isn't that just like setting particle 1 at the origin? And doesn't that contradict the statement that particle 2 is at the origin?

Sorry about all the questions. I'm not sure why I'm having such a hard time understanding this.
 
  • #11
fuserofworlds said:
What confuses me is that, if (as in the book's example) particle 2 is taken to be at the origin, then in my mind the potential should just depend on the position of particle 1.

That is true and that is a useful method of reducing the dimensional of the problem. It essentially transforms any two-particle system into a one-particle system in external field. With more particles, however, gains are not so spectacular.

If you take the derivative with respect to ##\vec{r}_1##, isn't that just like setting particle 1 at the origin

No, why? Even assuming that ##\vec r_2 = 0 = \mathrm{constant} ##, it is still perfectly fine to differentiate ##U## with respect to ##r_1##.
 

1. What is the gradient in classical mechanics?

The gradient in classical mechanics refers to the vector field that represents the direction and magnitude of the maximum rate of change of a given function. In physics, this is often used to describe the direction and magnitude of a force acting on a particle.

2. How is the gradient calculated in classical mechanics?

The gradient is calculated using partial derivatives of the function with respect to each of the independent variables. In classical mechanics, this is typically done using the principles of calculus, specifically the chain rule and the product rule.

3. What is the significance of the gradient in classical mechanics?

The gradient is an important concept in classical mechanics as it helps to describe the behavior of particles and systems in terms of forces and motion. It allows for the prediction and analysis of forces acting on a particle and the resulting motion, making it a fundamental tool in understanding the physical world.

4. How does the gradient relate to other concepts in classical mechanics?

The gradient is closely related to other important concepts in classical mechanics, such as potential energy and conservative forces. In fact, the gradient of a potential energy function represents the direction and magnitude of the conservative force acting on a particle, making it an essential tool in understanding energy and motion in classical mechanics.

5. What are some common misconceptions about the gradient in classical mechanics?

One common misconception is that the gradient only applies to potential energy and conservative forces. However, the gradient can also be used to describe non-conservative forces, such as friction, and can be applied to a wide range of physical systems beyond just particles. Additionally, the gradient is often incorrectly equated with the concept of a gradient vector, which is a mathematical representation of the gradient. The gradient itself is a vector field, not just a single vector.

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