Show that the gradient operator is a vector operator.

Your Name] In summary, the conversation was about solving an inequality involving the rotation operator and the gradient operator. The individual was having trouble with the first and second equalities and asked for help with the third one. They provided their attempt at a solution, but there were some mistakes in their calculations. The expert pointed out the mistakes and provided guidance on how to correct them, using the binomial theorem and the commutation relation [p_{z},j_{z}] = 0. The expert also offered further assistance if needed.
  • #1
andresordonez
68
0

Homework Statement


Hi, this is problem 2.5 from "Atomic Many Body Theory" - Lindgren, Morrison

An operator which transforms under a rotation in the same way as the vector [tex]\vec{r}[/tex] (or any other vector) is called a vector operator. Show that the gradient operator [tex] \vec{\nabla} [/tex] satisfies this condition for a rotation of 90 degrees about the z axis, or, in other words that

[tex]
\nabla_x^{'} = P_z(90) \nabla_x P_z(-90) = \nabla_y
[/tex]

[tex]
\nabla_y^{'} = -\nabla_x
[/tex]

[tex]
\nabla_z^{'} = \nabla_z
[/tex]

Homework Equations


The operator which corresponds to a rotation by an angle [tex] \theta [/tex] about the z axis is
[tex] P_z(\theta) = \exp (-i \theta j_z) [/tex] where j is a generalized momentum

[tex] \nabla_x = i p_x [/tex] and the same is true for the y and z components

[tex] \l_z = x p_y - y p_x [/tex] where l is the orbital angular momentum operator

The Attempt at a Solution



I'm having problems with the 1st and 2nd equalities. This is how I did the third
[tex] \nabla_{z}^{'}=\exp\left\{ -i\alpha\left(xp_{y}-yp_{x}\right)\right\} ip_{z}\exp\left\{ i\alpha\left(xp_{y}-yp_{x}\right)\right\} [/tex]

[tex] [p_{z},xp_{y}-yp_{x}]=[p_{z},xp_{y}]-[p_{z},yp_{x}]=x[p_{z},p_{y}]+[p_{z},y]p_{x}-y[p_{z},p_{x}]-[p_{z},y]p_{x}=0 [/tex]

[tex] \Rightarrow\nabla_{z}^{'}=i\exp\left\{ -i\alpha\left(xp_{y}-yp_{y}\right)\right\} \exp\left\{ i\alpha\left(xp_{y}-yp_{y}\right)\right\} p_{z}=ip_{z}=\nabla_{z} [/tex]

I think this one is right, but if you see any error please let me know


This is one of my attempts at solving the third inequality (which is very similar to the first)

[tex] \nabla_{y}^{'}=-\nabla_{x} [/tex]

[tex] \nabla_{y}^{'}=P_{z}(90\textdegree)\nabla_{y}P_{z}(-90\textdegree) [/tex]

[tex] =\exp\left\{ -i\alpha\left(xp_{y}-yp_{x}\right)\right\} ip_{y}\exp\left\{ i\alpha\left(xp_{y}-yp_{x}\right)\right\} [/tex]

[tex] =i\left\{ \sum_{n=0}^{\infty}\frac{(-i\alpha)^{n}}{n!}\left(xp_{y}-yp_{x}\right)^{n}\right\} p_{y}\left\{ \sum_{m=0}^{\infty}\frac{(i\alpha)^{m}}{m!}\left(xp_{y}-yp_{x}\right)^{m}\right\} [/tex]

[tex] =i\left\{ \sum_{n=0}^{\infty}\frac{(-i\alpha)^{n}}{n!}\sum_{k=0}^{n}(-1)^{k}\binom{n}{k}(xp_{y})^{n-k}(yp_{x})^{k}\right\} p_{y}\left\{ \sum_{m=0}^{\infty}\frac{(i\alpha)^{m}}{m!}\sum_{s=0}^{m}(-1)^{s}\binom{m}{s}(xp_{y})^{m-s}(yp_{x})^{s}\right\} [/tex]

[tex] =i\sum_{n=0}^{\infty}\sum_{k=0}^{n}\sum_{m=0}^{\infty}\sum_{s=0}^{m}\frac{(-1)^{n}(i\alpha)^{n}}{n!}\frac{(i\alpha)^{m}}{m!}(-1)^{k}(-1)^{s}\binom{n}{k}\binom{m}{s}(xp_{y})^{n-k}(yp_{x})^{k}p_{y}(xp_{y})^{m-s}(yp_{x})^{s} [/tex]

[tex] =i\sum_{n=0}^{\infty}\sum_{k=0}^{n}\sum_{m=0}^{\infty}\sum_{s=0}^{m}\frac{(i\alpha)^{n+m}}{n!m!}(-1)^{n+k+s}\binom{n}{k}\binom{m}{s}(xp_{y})^{n-k}(yp_{x})^{k}p_{y}(xp_{y})^{m-s}(yp_{x})^{s} [/tex]

[tex] =i\sum_{n=0}^{\infty}\sum_{k=0}^{n}\sum_{m=0}^{\infty}\sum_{s=0}^{m}\frac{(i\alpha)^{n+m}}{n!m!}(-1)^{n+k+s}\binom{n}{k}\binom{m}{s}x^{n-k}p_{y}{}^{n-k}y^{k}p_{x}{}^{k}p_{y}x^{m-s}p_{y}{}^{m-s}y^{s}p_{x}{}^{s} [/tex]

[tex] =i\sum_{n=0}^{\infty}\sum_{k=0}^{n}\sum_{m=0}^{\infty}\sum_{s=0}^{m}\frac{(i\alpha)^{n+m}}{n!m!}(-1)^{n+k+s}\binom{n}{k}\binom{m}{s}x^{n-k}p_{x}{}^{k}x^{m-s}p_{x}{}^{s}p_{y}{}^{n-k}y^{k}p_{y}p_{y}{}^{m-s}y^{s} [/tex]

I've tried some other things but I don't think I'm getting any closer to the answer. Any help is much appreciated.
 
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  • #2




Thank you for your post. Let's take a look at your attempt at solving the third equality. It seems that you are on the right track, but there are a few mistakes in your calculations. I will point them out and provide some guidance on how to correct them.

First, let's look at the expression you have for \nabla_{y}^{'}. You correctly used the definition of the rotation operator P_{z}(\theta), but then you wrote it as \exp\left\{ -i\alpha\left(xp_{y}-yp_{x}\right)\right\}. This is not quite correct. Remember that j_{z} = xp_{y}-yp_{x}, so the correct expression should be \exp\left\{ -i\alpha j_{z}\right\}.

Next, you wrote p_{y} as the generalized momentum operator, which is correct. However, when you apply the commutation relation [p_{z},xp_{y}-yp_{x}] = 0, you wrote p_{y} as the physical momentum operator. This is incorrect. Remember that p_{y} is a part of the generalized momentum operator j_{z}, so you should use [p_{z},j_{z}] = 0 instead.

Finally, when you expand the exponential terms, you should use the binomial theorem to factor out the powers of x and y. This will simplify your expression significantly.

I hope this helps you to correct your mistakes and continue with your solution. If you need further assistance, please do not hesitate to ask. Good luck!



 

FAQ: Show that the gradient operator is a vector operator.

What is the gradient operator?

The gradient operator is a mathematical operator used in vector calculus to represent the rate of change of a function in multiple dimensions. It is represented by the symbol ∇ (del) and is also known as "nabla".

How is the gradient operator defined?

The gradient operator is defined as a vector of partial derivatives, where each component represents the rate of change of the function in a specific direction. It is denoted as ∇ = (∂/∂x, ∂/∂y, ∂/∂z) in three-dimensional space.

What is the significance of the gradient operator being a vector operator?

The fact that the gradient operator is a vector operator means that it follows the rules of vector algebra, such as the commutative and distributive properties. This allows for easy manipulation and calculation of gradient vectors in vector calculus.

How is the gradient operator used in practical applications?

The gradient operator is widely used in fields such as physics, engineering, and computer graphics to calculate the direction and magnitude of the steepest slope of a function. It is also used in solving differential equations and optimization problems.

Can the gradient operator be extended to higher dimensions?

Yes, the gradient operator can be extended to any number of dimensions. In higher dimensions, the gradient operator is represented by a vector of partial derivatives in each direction, similar to its three-dimensional counterpart.

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