- #1
Istiak
- 158
- 12
- Homework Statement
- How integral and gradient cancels?
- Relevant Equations
- Integration, Differentiation
##V_i##anuttarasammyak said:Let me know in your formula which appears ##V_i## or potential V ?
first one is correct. When did I say the second one?anuttarasammyak said:I know
[tex]\nabla V \cdot d\mathbf{s}=\sum_i (\nabla V)_i ds_i[/tex]
but am puzzled by your formula
[tex]\sum_i (\nabla V_i)_i ds_i[/tex]
That's what you wrote either. $$\sum_i (\nabla V)_i ds_i=\sum_i \nabla_i V_i ds_i$$anuttarasammyak said:[tex]\nabla V \cdot d\mathbf{s}=\sum_i (\nabla V)_i ds_i[/tex]
I can hardly find a meaning in RHS. What is ##V_i## ? I seeIstiakshovon said:That's what you wrote either. $$\sum_i (\nabla V)_i ds_i=\sum_i \nabla_i V_i ds_i$$
Again, the index ##i## here does not seem to be a spatial index but rather a counting index for several different contributions.anuttarasammyak said:I can hardly find a meaning in RHS. What is ##V_i## ? I see
[tex]\sum_i \int_1^2 (\nabla V)_i ds_i = [V]_1^2[/tex]
where ##i=\{x,y,z\}## or ##\{1,2,3\}## and V is potential function. I hope it is informative for your problem.
Hi. What you have written is not recognisable notation (to me, anyway) and you have provided virtually no explanation/background information. Some problems that immediately stand out are:Istiakshovon said:Homework Statement:: How integral and gradient cancels?
Relevant Equations:: Integration, Differentiation
View attachment 287953I know that gradient is multi-variable derivatives. But, here line integration (one dimensional integral) had canceled gradient. How?
The natural interpretation to me is a set of particles, indexed by ##i## moving in an external potential and each with position ##\vec s_i## and potential ##V_i = V(\vec s_i)##. The gradient ##\nabla_i## would be the gradient acting on the ##\vec s_i## coordinates.Steve4Physics said:1. What is the meaning of ‘∇ᵢ’? If ∇ is the gradient operator then the subscript (i) is meaningless.
See above. The ##d\vec s_i## would be the differential of the position of particle ##i##.Steve4Physics said:2. What does ‘dsᵢ’ mean? Is ‘dsᵢ’ simply notation for dx, dy and dz? Or have you got multiple paths and dsᵢ is a line-element along the i-th path?
The integral is on the LHS. The evaluation of the integral at the endpoints are therefore on the RHS.Steve4Physics said:5. Why is the vertical bar on the right hand side used? This symbol is typically used for the end values of a definite integral, but there is no integral on the right hand side
Aha. Thanks @Orodruin. That’s very helpful. I was being a bit slow.Orodruin said:The natural interpretation to me is a set of particles, indexed by ##i## moving in an external potential and each with position ##\vec s_i## and potential ##V_i = V(\vec s_i)##. The gradient ##\nabla_i## would be the gradient acting on the ##\vec s_i## coordinates.See above. The ##d\vec s_i## would be the differential of the position of particle ##i##.The integral is on the LHS. The evaluation of the integral at the endpoints are therefore on the RHS.
An integral is a mathematical concept that represents the area under a curve on a graph. It is used to calculate the total value of a function over a given interval.
A gradient is a mathematical concept that represents the slope of a curve at a specific point. It is a vector that shows the direction and magnitude of the steepest increase of a function at that point.
Integral and gradient are closely related concepts in mathematics. The integral of a function is the antiderivative of its gradient, and the gradient of an integral is the original function. This means that the integral and gradient are inverse operations of each other.
When the integral and gradient are applied to a function, they essentially undo each other's effects. This is because the integral represents the accumulation of the gradient over an interval, and the gradient represents the rate of change of the integral at a specific point. So, when these two operations are applied together, they cancel out and leave the original function.
Integral and gradient cancellation have many practical applications in fields such as physics, engineering, and economics. For example, in physics, the integral of a velocity function gives the displacement, and the gradient of a displacement function gives the velocity. In economics, the integral of a demand function gives the total revenue, and the gradient of a revenue function gives the marginal revenue. These concepts are essential for understanding and solving various real-world problems.