Deriving the Solution to $$\frac{\partial}{\partial \phi^{*}}$$

In summary, the purpose of deriving the solution to $$\frac{\partial}{\partial \phi^{*}}$$ is to find the rate of change of a function with respect to a particular variable. This is done by taking the derivative of the function with respect to $$\phi^{*}$$ using mathematical techniques such as the chain rule and product rule. This process has various real-world applications in fields such as engineering, economics, and physics. The solution can also be visualized in some cases, but becomes more challenging with functions that have more than three variables. In optimization problems, the solution is used to find the maximum or minimum value of a function by identifying critical points and evaluating them.
  • #1
Irishdoug
102
16
Homework Statement
We would like to find the lowest energy tight binding wavefunction of the form ##\ket{\Psi} = \sum_{n} \phi_{n} \ket{n}##
Relevant Equations
##H \phi = E \phi##

##\phi## is the vector of N co-efficients and H is the N by N matrix ##H_{n,m} = \bra{n} H \ket{m}##

We construct the energy ##E = \frac{\bra{\psi} H \ket{psi}}{\bra{\psi}\ket{\psi}}## and minimise it with respect to each ##\phi_{n}## to reproduce the eigenvalue equation ##H \phi = E \phi##
The solution can be viewed here on page 41

https://usermanual.wiki/Document/St...ford20University20Press202015.1463186034/view

What I have is

$$\frac{\partial}{\partial \phi^{*}} (\frac{\sum_{n,m} \phi_{n}^{*} H_{n,m}\phi_{n}} {\sum_{n} \phi_{n}^{*} \phi_{n}}) = 0$$

I have access to the solution but I have no idea how this derivative is carried out. I have tried the product rule (where ##\phi_{n}## is considered constant) and quotient rule but neither work to give this solution:

$$\frac{\sum_{n} \phi_{m} H_{n,m}}{\sum_{p}\phi_{p}^{2}} - (\frac{\sum_{n,m} \phi_{n}^{*} H_{n,m}\phi_{n}} {\sum_{n} \phi_{n}^{*} \phi_{n}}) \frac{\phi_{n}}{\sum_{p}\phi_{p}^{*}\phi_{p}} = 0$$

Thankyou for your help.
 
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  • #2
Please show your work. It isn't very helpful to say "I tried X, but it didn't work." Think about how helpful it would be to you if someone replied with only "Well, I tried X and it did work."

What did you get when you differentiated the numerator with respect to ##\phi_n^*##?
 
  • #3
The notation is messy and prone to mistakes. Write instead ##\mathbf{x} = (\phi_1, \dots, \phi_n)^T## as a column vector containing the numbers ##\phi_n## and write the energy as\begin{align*}
E(\mathbf{x}) = \frac{\mathbf{x}^{\dagger} H \mathbf{x}}{\mathbf{x}^{\dagger} \mathbf{x}}
\end{align*}Now you vary the vector ##\mathbf{x} \mapsto \mathbf{x} + \delta \mathbf{x}##, where ##\delta \mathbf{x} = (\delta \phi_1, \dots, \delta \phi_n)^T##, giving
\begin{align*}
\delta E \equiv E(\mathbf{x} + \delta \mathbf{x}) - E(\mathbf{x}) = \frac{(\mathbf{x}^{\dagger} + \delta \mathbf{x}^{\dagger})H(\mathbf{x} + \delta \mathbf{x})}{(\mathbf{x}^{\dagger} + \delta \mathbf{x}^{\dagger})(\mathbf{x} + \delta \mathbf{x})} - E(\mathbf{x})
\end{align*}Can you complete the proof by imposing that ##\delta E## vanishes to first order for all possible ##\delta \mathbf{x}##?
 
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1. What is the purpose of deriving the solution to $$\frac{\partial}{\partial \phi^{*}}$$?

The purpose of deriving the solution to $$\frac{\partial}{\partial \phi^{*}}$$ is to find the rate of change of a function with respect to the complex conjugate of a variable. This is useful in many areas of science, including physics, engineering, and economics.

2. How is the solution to $$\frac{\partial}{\partial \phi^{*}}$$ derived?

The solution to $$\frac{\partial}{\partial \phi^{*}}$$ is derived using the chain rule and the product rule of differentiation. It involves taking the derivative of the function with respect to the real and imaginary parts of the variable, and then combining them to get the final solution.

3. Can the solution to $$\frac{\partial}{\partial \phi^{*}}$$ be expressed in terms of other variables?

Yes, the solution to $$\frac{\partial}{\partial \phi^{*}}$$ can be expressed in terms of other variables, such as the original variable itself or other related variables. This allows for a more general solution that can be applied to different situations.

4. Are there any limitations to the solution of $$\frac{\partial}{\partial \phi^{*}}$$?

Like with any mathematical solution, there may be limitations to the solution of $$\frac{\partial}{\partial \phi^{*}}$$. These limitations may arise from the assumptions made in the derivation process or from the specific conditions of the problem being solved. It is important to carefully consider these limitations when using the solution in practical applications.

5. How can the solution to $$\frac{\partial}{\partial \phi^{*}}$$ be applied in real-world scenarios?

The solution to $$\frac{\partial}{\partial \phi^{*}}$$ has many practical applications in various fields of science and engineering. For example, it can be used to analyze the behavior of complex systems, optimize processes, and solve differential equations. It is a powerful tool for understanding and predicting the behavior of physical systems.

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