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Partial derivatives treating a complex number and its complex ...

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<strong>Partial</strong> <strong>derivatives</strong> <strong>treating</strong> a <strong>complex</strong> <strong>number</strong> <strong>and</strong> <strong>its</strong> <strong>complex</strong><br />

conjugate as independent variables: Why the trick works<br />

David Foster<br />

October 27, 2012<br />

Think of a <strong>complex</strong> <strong>number</strong> z. Now add a small change dz to z, such that the value of z changes<br />

(obviously) but the value of <strong>its</strong> <strong>complex</strong> conjugate z ∗ does not change. You quickly realize this is impossible.<br />

There is no way that z can change while z ∗ is held constant. And yet, there it is, in your textbook or your<br />

lecture notes, something like:<br />

. . . since 〈ψ|H − λ|ψ〉 is variational in |ψ〉, we can take the functional partial derivative with<br />

respect to 〈ψ| <strong>and</strong> set it equal to zero to get the eigenvalue equation<br />

H|ψ0〉 = λ|ψ0〉.<br />

We essentially just took the (functional) 1 partial derivative with respect to 〈ψ| while <strong>treating</strong> |ψ〉 as an<br />

unchanging, independent variable. It appears that would entail changing (say we go to the real space basis)<br />

ψ ∗ (x) without changing ψ(x), which you know is impossible.<br />

While such a variation is not OK, we can proceed as if it were because the resulting equations are true.<br />

The reason has something to do with the fact that there are two independent degrees of freedom of ψ at any<br />

point, the real <strong>and</strong> imaginary parts, <strong>and</strong> that variation with real <strong>and</strong> imaginary parts leads to two separate<br />

equations.<br />

To prove that the result is correct, it’s easiest to leave the bra-ket notation <strong>and</strong> just deal with ψ <strong>and</strong> ψ ∗ ,<br />

which may be either functions of a continous variable or finite dimensional vectors. We then suppose that<br />

we have a functional quantity, F that is variational about some special function ψ0. But F is expressed as a<br />

functional of two arguments: F [ψ, ψ ∗ ]. We further suppose that F is “analytic” in both of <strong>its</strong> arguments, that<br />

is, that the functional <strong>derivatives</strong> δF/δψ <strong>and</strong> δF/δψ ∗ are well defined. This is the case of interest, because<br />

the goal of the trick is to set δF/δψ (<strong>and</strong>/or δF/δψ ∗ ) to zero <strong>and</strong> this would be useless if those expressions<br />

were not well defined or unknown. An example of a “non-analytic” F would be an explicit functional of <strong>its</strong><br />

arguments that took the <strong>complex</strong> conjugate of one of it’s arguments somewhere in it’s evaluation. The most<br />

common physical example of an “analytic” functional would be ψ ∗ (x)f(x)ψ(x)dx.<br />

We now proceed to properly write δF = 0 as<br />

δψ · δF<br />

δψ + δψ∗ · δF<br />

= 0 (1)<br />

δψ∗ 1 You may also encounter a direct example with st<strong>and</strong>ard partial <strong>derivatives</strong>. My first encounter with this trick was the<br />

sentence, “Note that it is convenient now to read P as a function of the two independent variables α <strong>and</strong> α ∗ ”, in the book “An<br />

Open Systems Approach to Quantum Optics” by Howard Carmichael (Springer, 1991).<br />

1


where the dot indicates the appropriate inner product (integral or vector contraction). At this point it is not<br />

clear that δF = 0 implies the two functional <strong>derivatives</strong> in the equation are separately equal to zero. First<br />

we write the real <strong>and</strong> imaginary parts of this equation separately.<br />

Re δψ · Re δF<br />

δF<br />

− Im δψ · Im<br />

δψ δψ + Re δψ∗ · Re δF<br />

δψ∗ − Im δψ∗ · Im δF<br />

= 0<br />

δψ∗ (2)<br />

Re δψ · Im δF<br />

δF<br />

+ Im δψ · Re<br />

δψ δψ + Re δψ∗ · Im δF<br />

δψ∗ + Im δψ∗ · Re δF<br />

= 0<br />

δψ∗ (3)<br />

Now we use the facts that Re δψ∗ = Re δψ <strong>and</strong> Im δψ∗ = −Im δψ. (Of course we only do this for numerator<br />

quantities). The above equations become<br />

<br />

Re δψ · Re δF δF<br />

+ Re<br />

δψ δψ∗ <br />

+ Im δψ · Im δF<br />

<br />

δF<br />

− Im = 0 (4)<br />

δψ∗ δψ<br />

<br />

Re δψ · Im δF δF<br />

+ Im<br />

δψ δψ∗ <br />

+ Im δψ · Re δF δF<br />

− Re<br />

δψ δψ∗ <br />

= 0 (5)<br />

Multiplying Eq. (5) by i <strong>and</strong> adding to Eq. (4) gives an equation with the real <strong>and</strong> imaginary parts of the<br />

partial <strong>derivatives</strong> recombined<br />

<br />

δF δF<br />

Re δψ · +<br />

δψ δψ∗ <br />

<br />

δF δF<br />

= −i Im δψ · −<br />

δψ δψ∗ <br />

(6)<br />

Since the real <strong>and</strong> imaginary parts of δψ can be varied independently, both quantities in square brackets<br />

must be zero. This quickly leads to the desired equations<br />

δF<br />

= 0<br />

δψ<br />

(7)<br />

δF<br />

= 0<br />

δψ∗ (8)<br />

By starting with the proper differential of F in Eq. (1), we have derived something that looks improper.<br />

2

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