Sunday, December 1, 2013

qm01 split the universe into “system” (wavefunction), an environment

split the universe into “system” (wavefunction), an environment

or measurement (Hamiltonian, or operator) and a measureable quantity (eigenvalue).


1 Summary of things you should already know
 
“I think I can safely say that nobody understands quantum mechanics” Richard Feynman


1.0 Prerequisite
All material covered in Junior Honours Quantum Mechanics is part of the syllabus of this course.
1.1 Understanding Nature
Quantum Theory encompasses our best understanding of how nature works: what will be the result

of any experiment. We arbitrarily split the universe into “system” (wavefunction), an environment

or measurement (Hamiltonian, or operator) and a measureable quantity (eigenvalue). There is

no unique associated mathematics, but since all measurements on systems yield real numbers, we

need mathematics which gives real eigenvalues. So it is a premise of quantum theory that any

measurable quantity is associated with a Hermitian operator.
1.2 Matrix and operator mechanics
There are two equivalent mathematical ways of calculating physical properties, Schroedinger’s

wave mechanics and Heisenberg’s matrix mechanics. In each systems are represented in terms of

eigenstates and measurables as eigenvalues. In matrix mechanics the operator is represented by
a Hermitian matrix of elements hm|ˆQ|ni which depends on the choice of basis set |mi. Any state

can represented by a normalised vector, which also depends on the basis set. The eigenvalues and


eigenvectors of the matrix, however, do not depend on the choice of basis - the eigenvectors are,

in fact, the eigenbasis of the operator.
For a set of basis ‘vectors’ of size N, there are N × N possible matrix elements.


1.3 Operators and Observables
In addition to position, a full description of a system must contain some implicit information. The

abstract bra-ket notation includes this.

Consider the electric charge. Obviously this is measurable, so it should be associated with an
operator ˆQ, such that e.g.

ˆQ

|©i = −e|©i

where © is the wavefunction of an electron. −e meets all the criteria for a quantum number, and

the above equation is obviously a true representation of reality. Thus the meaning of the ket |©i is


broader than a simple spatial function, and operators can also be non-algebraic. This is especially

important in particle physics where all manner of quantum numbers appear (isospin, strangeness,

baryon number etc. etc.)
1.4 Changes in time
Schroedinger’s equation ˆH Á = i¯h@Á/@t shows us that the Hamiltonian (energy operator) is related


to the change in wavefunction in time. A system prepared in an eigenstate of the Hamiltonian

has time-invariant probability density. A system prepared in an eigenstate of a non-commuting

operator has a probability density which varies in time. It is this time independence (conservation

law) which makes eigenstates of the energy operator so useful.

1

When we measure some property of a system, the act of making the measurement collapses the

system into an eigenstate of the appropriate operator. All memory of the previous state of the

system is lost in this collapse, except in the special case when the state is degenerate, as we’ll see

later. The system then evolves according to its Hamiltonian.
1.5 Formal definition of a complete, orthonormal basis set
Consider a basis set |ini. It is orthonormal if hin|imi = ±mn. It is complete if any wavefunction

can be written as |Ái =



P
 
n cn|ini and the cn are uniquely defined. If the wavefunction cannot be

so written, the basis set is incomplete, if there exists more than one possible set of cn, the basis

set is overcomplete. Choosing a basis set in a Hilbert space (see 1.7) is analogous to choosing a


set of coordinates in a vector space. Note that completeness and orthonormality are well defined

concepts for both vector spaces and function spaces.
1.6 Example of matrix representation method and choice of basis
In practical quantum problems, we almost always describe the state of the system in terms of
some basis set. Consider a simple spin 1/2 system, choosing as basis states Sz = ±1

2 . Consider

this system in a magnetic field pointing in the x direction, the operator corresponding to this is

μB ˆ Sx. We wish to find the eigenstates and eigenenergies.

Evaluating the required matrix elements such as hSz = 1

2 |μB ˆ Sx|Sz = 1

2 i (see QP3) gives a matrix:



Ã
 
0 μB/2

μB/2 0



!
 
The normalised eigenvectors of this matrix are
³q
 
1
 
2 ,



q
 
1

2
 
´
 
and
³q
 
1
 
2 ,−



q
 
1

2
 
´
 
with eigenvalues (μB/2)

and (−μB/2). Of course these represent the eigenstates |Sx = ±1

2 i in the basis of |Sz = ±1

2 i:

|Sx = ±


1

2
i =



·
 
|Sz =


1

2
i ± |Sz = −


1

2
i
 
¸
 
/
p
 
2
Had we chosen |Sy = ±1

2 i as our basis set, then the matrix would have been:



Ã
 
0 −iμB/2

iμB/2 0



!
 
Once again, the eigenvalues of this matrix are (μB/2) and (−μB/2), as they must be since these


are the measurable quantities. Coincidently, the eigenvectors in this basis set are also
³q
 
1
 
2 ,



q
 
1

2
 
´
 
and
³q
 
1
 
2 ,−



q
 
1

2
 
´
 
.
Had we chosen |Sx = ±1

2 i as our basis set in the first place, the problem would have been much


simplified. The matrix would then be:
Ã
 
μB/2 0

0 −μB/2



!
 
Once again, the eigenvalues of this matrix are (μB/2) and (−μB/2), and now the eigenvectors


are (1,0) and (0,1): i.e. the eigenstates are simply the basis states.

2
1.7 Dirac Notation - Analogies with vectors and matrices
You probably remember Dirac notation as a shorthand for integrals, for example the overlap

between two wavefunctions can be written as:
hÂ|Ái instead of



Z Z Z
 
¤(r)Á(r)d3r.

(Where d3r is the scalar volume element, sometimes called r2 sin µdµdÁdr, dxdydz, dV or d¿ )

But also if we have a complete set of orthonormal basis states i, the overlap is also the sum of the

overlaps between each i and  and Á

hÂ|Ái =



X
 
i
 
hÂ|iihi|Ái
Warning: A summation convention is also sometimes used, such that when a state symbol appears


twice, first as a ket, then as a bra, it is assumed to be summed over a complete set of orthonormal
basis states. The expression above is then further abbreviated to hÂ|iihi|Ái. This convention can


be confusing and will not be used in these notes.

Compare this with the vector dot product formula
b.a = bxax + byay + bzaz =



X
 
i
 
 
(b.ei)(ei.a)

where ei are the unit vectors in x, y and z directions. Just as any vector can be expressed as

a linear combination of ei, so any quantum state can be expressed as a linear combination of

basis states i. There are certain conditions on the basis states, e.g. they must be ‘orthonormal’

hj|ii = ±ij just as ei.ej = ±ij . Just as the three Cartesian vectors span a three dimensional space,


so the many basis states span a many-dimensional space. In some cases (e.g. Fourier expansions,

hydrogen wavefunctions) there are an infinite number of basis states which are therefore related

to spanning an infinite-dimensional space. Mathematicians call these ‘Hilbert spaces’. Any state
Á can thus be viewed as a vector in a multi-dimensional space, where each dimension corresponds


to one of the basis functions. It is thus common to use the words eigenstate and eigenvector
interchangeably to refer to |Ái Even before the discovery of quantum mechanics, mathematicians


had solved many of the problems in this area.

In Dirac notation we have two quantities, the bra and the ket, whereas in vector algebra we

have only one, this is because there is not an exact analogy to commutation for Dirac brackets:
hÂ|Ái = hÁ|Âi¤ includes taking a complex conjugate. Consider manipulating the bras and kets.


We can write a vector in terms of its components thus
A =



X
 
i
 
 
ei(ei.A)

where (ei.A) is the amount of A along the ei axis; the components. The quantities on either side

of the equation are not numbers but vectors. We can generate a whole algebra based on vectors.

Likewise we can write a state thus: |Ái =



P
 
i |iihi|Ái
where hi|Ái is the amount of Á along the i basis state; the components or expansion coefficients.

The quantities on each side of this equation are not numbers but functions. Á is a normalised


wavefunction iff
P
 
i |hi|Ái|2 = 1. We can then generate a whole algebra based on bras and kets.

For any different complete sets of basis states i and j, we can write: |Ái =



P
 
j |jihj|Ái, and

|Ái =



P
 
i |iihi|Ái. Expansions in i and j are called different representations of Á. This is very


3
similar to using different coordinate systems: the bases i and j are analogous to two sets of


axes rotated with respect to one another. We might choose complete set of wavefunctions as a
representation which includes Á, just as we sometimes choose axes such that some special vector

points along the z-axis.

Going even further, the expansion in a basis can be done for any |Ái, so we can dispense with |Ái


and write:
| =



X
 
i
 
 
|iihi|, the unit operator


All this means is that in any equation you can always proceed by breaking the states down into a

complete, orthonormal set of basis functions. This may be useful when dealing with a Hamiltonian
for which the eigenstates i with eigenenergies Ei are already known. A general mixed state |Ái


has energy:
hÁ|H0|Ái =



X
 
i
 
 
X
 
j
 
 
hÁ|iihi|H0|jihj|Ái =



X
 
i
 
 
|hÁ|ii|2Ei since for i 6= j hj|Ei|ii, hj|ii = 0


So we could use the solution to an easier problem (the eigenvalue problem, which we need solve

only once per Hamiltonian) so that we never need to apply the complicated Hamiltonian to the

complicated mixed state! This is a very useful trick - reformulating a problem so that we can make

use of some work that has already been done. In this case the single, hard, problem of finding

the energy of a mixed state is changed to the many, easier, problems of finding the energy of the

eigenstates and the amount of each eigenstate in the mixed state.
1.8 Using Bras to pick Kets
One of the most useful algebraic tricks in quantum mechanics is to multiply a sum of terms by

a complex conjugate wavefunction, and integrate the product over all space. Orthogonality often

means that this procedure can be used to ‘pick’ a single term from the sum. In Dirac notation
this procedure simply becomes applying him|.

For example, if we have an expansion of a mixed state © in eigenstates in: ˆH |©i =



P
 
n
 
 
ˆH

|inihin|©i,

we can remove the sum by him|:

him| ˆH |©i = him|



X
 
n
 
 
ˆH

|inihin|©i = Emhim|©i

This works because him| ˆH |ini = Em±nm; it is analogous to taking components of a vector.


1.9 Good quantum numbers
It is normal to think of the eigenvalues as labelling states. In that case they are just called

quantum numbers. A set of eigenvalues from a complete commuting set of operators are called

good quantum numbers. The eigenvalues from a non-commuting operator are a bad quantum

numbers, because their values cannot be known simultaneously.

This is not quite as simple as it seems. In real systems the Hamiltonian may contain many

small terms (perturbations) which may not commute with the operators which commute with the

unperturbed Hamiltonian. Although in principle the quantum numbers are no longer good, in

practice they are often used.

An example of this is in spin-orbit coupling of angular momenta in many-electron atoms. Here
Lz =



P
 
i liz is a good quantum number in the absence of spin-orbit coupling, but ˆliz does not


commute with the spin orbit coupling operator
P
 
i
 
 
ˆli. ˆ si. Thus for light atoms, where spin-orbit

coupling is weak, Lz is often used although it is not strictly a good quantum number.


4

Hamiltonian01 An operator takes a function and returns another function. A Hamiltonian is a vector operator that manipulates a vector function, giving another function, and, as I recall, gives the energy levels.

I am sure that wikipedia has articles on these, and that they will answer your questions better than what you get here.
Even if I were willing to write an essay on this for you, to be honest, it has been 35 years since I took quantum mechanics, and my memory of it is hazy.

An operator is sort of like the next step beyond functions. A function takes a number and returns another number.
An operator takes a function and returns another function. For example, the gradient operator, [d/dx, d/dy, d/dz] returns the gradient of a function, that gradient being itself a function.
An operable is some function that is an allowable input to a given operator. Think in terms of the domain of a function; 1/[x-7] does not like x = 7

A Hamiltonian is a vector operator that manipulates a vector function, giving another function, and, as I recall, gives the energy levels.
An eigenfunction is one that when put through a given operator, returns a multiple of the original function.
The eigenvalue is the multiple.

[PDF]

1 Summary of things you should already know

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  • vector01 即每一种语言都有一套相似的理念,因而使用单词的方式也存在相似性。例如,大多数语言中都有描述相同动物的单词,如狗、猫和牛,这些单词很可能以相同的方式在句子中使用,如“猫是一种比狗小的动物”。语言中单词之间的关系集合被称为“语言空间”,可类比为一个点到另一个点的向量集合,能以数学的方式进行处理,例如王减去男性加上女性等于女王(‘king’–‘man’+‘woman’=‘queen’)。在向量空间中,许多语言都有共通之处,可以利用向量空间线性变换将一种语言翻译成另一种语言

    Google工程师将语言翻译变成向量空间数学问题


    2013-09-30 16:01:22 6668 次阅读 稿源:solidot 23 条评论
    现有的基于统计翻译的在线工具如巴比鱼和Google翻译,翻译的结果勉强可用,但离完美还相去甚远。现在,Google工程师在预印本网站上发表论文,介绍了一种不依赖于统计翻译的新技术。他们的方法是将语言翻译变成向量空间数学问题,利用数据挖掘技术建模一种语言的结构,然后与另一种语言的结构进行对比。
    新的方法是基于一个概念,即每一种语言都有一套相似的理念,因而使用单词的方式也存在相似性。例如,大多数语言中都有描述相同动物的单词,如狗、猫和牛,这些单词很可能以相同的方式在句子中使用,如“猫是一种比狗小的动物”。语言中单词之间的关系集合被称为“语言空间”,可类比为一个点到另一个点的向量集合,能以数学的方式进行处理,例如王减去男性加上女性等于女王(‘king’–‘man’+‘woman’=‘queen’)。在向量空间中,许多语言都有共通之处,可以利用向量空间线性变换将一种语言翻译成另一种语言。Google工程师表示,新的方法非常有效。

    Vector space is defined over some field generally. So learning linear algebra from concepts such like group, ring, field of abstract algebra might be helpful.

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  • vector01 anisotropy , as opposed to isotropy this Hamiltonian is a vector,Since this Hamiltonian is a vector, not only the spin- components become anisotropic,

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    贫僧法号耜文

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    Since this Hamiltonian is a vector, not only the spin- components become anisotropic, according to Moriya's rules,85 but both the in-plane and the out-of-plane.

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