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In
quantum mechanics, a
probability amplitude is a
complex number used in describing the behaviour of systems. The
modulus squared of this quantity represents a
probability or
probability density.
Probability amplitudes provide a relationship between the
wave function (or, more generally, of a
quantum state vector) of a system and the results of observations of that system, a link first proposed by
Max Born. Interpretation of values of a wave function as the probability amplitude is a pillar of the
Copenhagen interpretation
of quantum mechanics. In fact, the properties of the space of wave
functions were being used to make physical predictions (such as
emissions from atoms
being at certain discrete energies) before any physical interpretation
of a particular function was offered. Born was awarded half of the 1954
Nobel Prize in Physics for this understanding (see
References),
and the probability thus calculated is sometimes called the "Born
probability". These probabilistic concepts, namely the probability
density and
quantum measurements, were vigorously contested at the time by the original physicists working on the theory, such as
Schrödinger[clarification needed] and
Einstein. It is the source of the mysterious consequences and philosophical difficulties in the
interpretations of quantum mechanics—topics that continue to be debated even today.
Overview
Physical
Neglecting some technical complexities, the problem of
quantum measurement is the behaviour of a quantum state, for which the value of the
observable Q to be measured is
uncertain. Such a state is thought to be a
coherent superposition of the observable's
eigenstates, states on which the value of the observable is uniquely defined, for different possible values of the observable.
When a measurement of
Q is made, the system (under the
Copenhagen interpretation)
jumps to one of the eigenstates, returning the eigenvalue to which the state belongs. The superposition of states can give them unequal
"weights".
Intuitively it is clear that eigenstates with heavier "weights" are
more "likely" to be produced. Indeed, which of the above eigenstates the
system jumps to is given by a probabilistic law: the probability of the
system jumping to the state is proportional to the absolute value of
the
corresponding numerical factor
squared. These numerical factors are called probability amplitudes, and
this relationship used to calculate probabilities from given pure
quantum states (such as wave functions) is called the
Born rule.
Different observables may define incompatible decompositions of states.
[clarification needed] Observables that
do not commute define probability amplitudes on different sets.
Mathematical
In a formal setup, any
system in quantum mechanics is described by a state, which is a
vector |Ψ⟩, residing in an abstract
complex vector space, called a
Hilbert space. It may be either infinite- or finite-
dimensional. A usual presentation of that Hilbert space is a special
function space, called
L2(X), on certain set
X, that is either some
configuration space or a discrete set.
For a
measurable function , the condition
reads:
this
integral defines the square of the
norm of
ψ. If that norm is equal to
1, then
It actually means that any element of
L2(X) of the norm 1 defines a
probability measure on
X and a non-negative
real expression
|ψ(x)|2 defines its
Radon–Nikodym derivative with respect to the standard measure
μ.
If the standard measure
μ on
X is
non-atomic, such as the
Lebesgue measure on the
real line, or on
three-dimensional space, or similar measures on
manifolds, then a
real-valued function |ψ(x)|2 is called a
probability density; see details
below. If the standard measure on
X consists of
atoms only (we shall call such sets
X discrete), and specifies the measure of any
x ∈ X equal to
1,
[1] then an integral over
X is simply a
sum[2] and
|ψ(x)|2 defines the value of the probability measure on the set
{x}, in other words, the
probability that the quantum system is in the state
x. How amplitudes and the vector are related can be understood with the
standard basis of
L2(X), elements of which will be denoted by
|x⟩ or
⟨x| (see
bra–ket notation for the angle bracket notation). In this basis
specifies the coordinate presentation of an abstract vector
|Ψ⟩.
Mathematically, many
L2 presentations of the system's Hilbert space can exist. We shall consider not an arbitrary one, but a
convenient one for the observable
Q in question. A convenient configuration space
X is such that each point
x produces some unique value of
Q. For discrete
X it means that all elements of the standard basis are
eigenvectors of
Q. In other words,
Q shall be
diagonal in that basis. Then
is the "probability amplitude" for the eigenstate
⟨x|. If it corresponds to a non-
degenerate eigenvalue of
Q, then
gives the probability of the corresponding value of
Q for the initial state
|Ψ⟩.
For non-discrete
X there may not be such states as
⟨x| in
L2(X), but the decomposition is in some sense possible.
Wave functions and probabilities
If the configuration space
X is continuous (something like the
real line or Euclidean space, see
above), then there are no valid quantum states corresponding to particular
x ∈ X, and the probability that the system is "in the state
x" will always
be zero. An archetypical example of this is the
L2(R) space constructed with 1-dimensional
Lebesgue measure; it is used to study a motion in
one dimension. This presentation of the infinite-dimensional Hilbert space corresponds to the spectral decomposition of the
coordinate operator:
⟨x | Q | Ψ⟩ = x⋅⟨x | Ψ⟩, x ∈ R in this example. Although there are no such vectors as
⟨x |, strictly speaking, the expression
⟨x | Ψ⟩ can be made meaningful, for instance, with spectral theory.
Generally, it is the case when the
motion of a particle is described
in the position space, where the corresponding probability amplitude function
ψ is the
wave function.
If the function
ψ ∈ L2(X), ‖ψ‖ = 1 represents the
quantum state vector
|Ψ⟩, then the real expression
|ψ(x)|2, that depends on
x, forms a
probability density function of the given state. The difference of a
density function from simply a numerical probability means that one should integrate this modulus-squared function over some (small) domains in
X to obtain probability values – as was stated above, the system can't be in some state
x with a positive probability. It gives to both amplitude and density function a
physical dimension, unlike a dimensionless probability. For example, for a
3-dimensional wave function, the amplitude has the dimension [L
−3/2], where L is length.
Note that for both continuous and infinite discrete cases not
every measurable, or even
smooth function (i.e. a possible wave function) defines an element of
L2(X); see
#Normalisation below.
Discrete amplitudes
When the set
X is discrete (see
above), vectors
|Ψ⟩ represented with the Hilbert space
L2(X) are just
column vectors composed of "amplitudes" and
indexed by
X. These are sometimes referred to as wave functions of a discrete variable
x ∈ X. Discrete dynamical variables are used in such problems as a
particle in an idealized reflective box and
quantum harmonic oscillator. Components of the vector will be denoted by
ψ(x)
for uniformity with the previous case; there may be either finite of
infinite number of components depending on the Hilbert space. In this
case, if the vector
|Ψ⟩ has the norm 1, then
|ψ(x)|2 is just the probability that the quantum system resides in the state
x. It defines a
discrete probability distribution on
X.
|ψ(x)| = 1 if and only if
|x⟩ is
the same quantum state as
|Ψ⟩.
ψ(x) = 0 if and only if
|x⟩ and
|Ψ⟩ are orthogonal (see
inner product space). Otherwise the modulus of
ψ(x) is between 0 and 1.
A discrete probability amplitude may be considered as a
fundamental frequency in the Probability Frequency domain (
spherical harmonics) for the purposes of simplifying
M-theory transformation calculations.
A basic example
Take the simplest meaningful example of the discrete case: a quantum system that can be in
two possible states: for example, the
polarization of a
photon. When the polarization is measured, it could be the horizontal state
| H ⟩, or the vertical state
| V ⟩. Until its polarization is measured the photon can be in a
superposition of both these states, so its state
|ψ⟩ could be written as:
The probability amplitudes of
|ψ⟩ for the states
| H ⟩ and
| V ⟩ are
α and
β
respectively. When the photon's polarization is measured, the resulting
state is either horizontal or vertical. But in a random experiment, the
probability of being horizontally polarized is
α2, and the probability of being vertically polarized is
β2.
Therefore, a photon in a state
would have a probability of 1/3 to come out horizontally polarized, and
a probability of 2/3 to come out vertically polarized when an
ensemble of measurements are made. The order of such results, is, however, completely random.
Normalization
In the example above, the measurement must give either
| H ⟩ or
| V ⟩, so the total probability of measuring
| H ⟩ or
| V ⟩ must be 1. This leads to a constraint that
α2 + β2 = 1; more generally
the sum of the squared moduli of the probability amplitudes of all the possible states is equal to one. If to understand "all the possible states" as an
orthonormal basis, that makes sense in the discrete case, then this condition is the same as the norm-1 condition explained
above.
One can always divide any non-zero element of a Hilbert space by its norm and obtain a
normalized state vector. Not every wave function belongs to the Hilbert space
L2(X), though. Wave functions that fulfill this constraint are called
normalizable.
The
Schrödinger wave equation, describing states of quantum particles, has solutions that describe a system and determine precisely how the state
changes with time. Suppose a
wavefunction ψ0(x, t) is a solution of the wave equation, giving a description of the particle (position
x, for time
t). If the wavefunction is
square integrable,
i.e.
for some
t0, then
ψ = ψ0/a is called the
normalized wavefunction. Under the standard
Copenhagen interpretation, the normalized wavefunction gives probability amplitudes for the position of the particle. Hence, at a given time
t0,
ρ(x) = |ψ(x, t0)|2 is the
probability density function of the particle's position. Thus the probability that the particle is in the volume
V at
t0 is
Note that if any solution
ψ0 to the wave equation is normalisable at some time
t0, then the
ψ defined above is always normalised, so that
is always a probability density function for all
t. This is key to understanding the importance of this interpretation, because for a given the particle's constant
mass, initial
ψ(x, 0) and the
potential, the
Schrödinger equation
fully determines subsequent wavefunction, and the above then gives
probabilities of locations of the particle at all subsequent times.
The laws of calculating probabilities of events
A.
Provided a system evolves naturally (which under the Copenhagen
interpretation means that the system is not subjected to measurement),
the following laws apply:
- The probability (or the density of probability in position/momentum
space) of an event to occur is the square of the absolute value of the
probability amplitude for the event: .
- If there are several mutually exclusive,
indistinguishable alternatives in which an event might occur (or, in
realistic interpretations of wavefunction, several wavefunctions exist
for a space-time event), the probability amplitudes of all these
possibilities add to give the probability amplitude for that event: .
- If, for any alternative, there is a succession of sub-events, then
the probability amplitude for that alternative is the product of the
probability amplitude for each sub-event: .
- Non-entangled states of a composite quantum system have amplitudes equal to the product of the amplitudes of the states of constituent systems: . See the #Composite systems section for more information.
Law 2 is analogous to the
addition law of probability,
only the probability being substituted by the probability amplitude.
Similarly, Law 4 is analogous to the multiplication law of probability
for independent events; note that it fails for
entangled states.
B. When an experiment is performed to decide between the
several alternatives, the same laws hold true for the corresponding
probabilities:
.
Provided one knows the probability amplitudes for events associated
with an experiment, the above laws provide a complete description of
quantum systems in terms of probabilities.
The above laws give way to the
path integral formulation of quantum mechanics, in the formalism developed by the celebrated theoretical physicist
Richard Feynman. This approach to quantum mechanics forms the stepping-stone to the path integral approach to
quantum field theory.
In the context of the double-slit experiment
Probability amplitudes have special significance because they act in
quantum mechanics as the equivalent of conventional probabilities, with
many analogous laws, as described above. For example, in the classic
double-slit experiment,
electrons are fired randomly at two slits, and the probability
distribution of detecting electrons at all parts on a large screen
placed behind the slits, is questioned. An intuitive answer is that
P(through either slit) = P(through first slit) + P(through second slit), where
P(event)
is the probability of that event. This is obvious if one assumes that
an electron passes through either slit. When nature does not have a way
to distinguish which slit the electron has gone through (a much more
stringent condition than simply "it is not observed"), the observed
probability distribution on the screen reflects the
interference pattern
that is common with light waves. If one assumes the above law to be
true, then this pattern cannot be explained. The particles cannot be
said to go through either slit and the simple explanation does not work.
The correct explanation is, however, by the association of probability
amplitudes to each event. This is an example of the case A as described
in the previous article. The complex amplitudes which represent the
electron passing each slit (
ψfirst and
ψsecond) follow the law of precisely the form expected:
ψtotal = ψfirst + ψsecond. This is the principle of
quantum superposition. The probability, which is the
modulus squared of the probability amplitude, then, follows the interference pattern under the requirement that amplitudes are complex:
Here,
and
are the
arguments of
ψfirst and
ψsecond
respectively. A purely real formulation has too few dimensions to
describe the system's state when superposition is taken into account.
That is, without the arguments of the amplitudes, we cannot describe the
phase-dependent interference. The crucial term
is called the "interference term", and this would be missing if we had added the probabilities.
However, one may choose to devise an experiment in which he observes
which slit each electron goes through. Then case B of the above article
applies, and the interference pattern is not observed on the screen.
One may go further in devising an experiment in which he gets rid of this "which-path information" by a
"quantum eraser". Then, according to the
Copenhagen interpretation, the case A applies again and the interference pattern is restored.
[3]
Conservation of probabilities and the continuity equation
Intuitively, since a normalised wave function stays normalised while
evolving according to the wave equation, there will be a relationship
between the change in the probability density of the particle's position
and the change in the amplitude at these positions.
Define the
probability current (or flux)
j as
measured in units of (probability)/(area × time).
Then the current satisfies the equation
The probability density is
, this equation is exactly the
continuity equation,
appearing in many situations in physics where we need to describe the
local conservation of quantities. The best example is in classical
electrodynamics, where
j corresponds
to current density corresponding to electric charge, and the density is
the charge-density. The corresponding continuity equation describes the
local conservation of charges.
[clarification needed]
Composite systems
For two quantum systems with spaces
L2(X1) and
L2(X2) and given states
|Ψ1⟩ and
|Ψ2⟩ respectively, their combined state
|Ψ1⟩ ⊗ |Ψ2⟩ can be expressed as
ψ1(x1) ψ2(x2) a function on
X1 × X2, that gives the
product of respective probability measures. In other words, amplitudes of a non-
entangled composite state are
products of original amplitudes, and
respective observables on the systems 1 and 2 behave on these states as
independent random variables. This strengthens the probabilistic interpretation explicated
above.
Amplitudes in operators
The concept of amplitudes described above is relevant to quantum state vectors. It is also used in the context of
unitary operators that are important in the
scattering theory, notably in the form of
S-matrices. Whereas moduli of vector components squared, for a given vector, give a fixed probability distribution, moduli of
matrix elements squared are interpreted as
transition probabilities just as in a random process. Like a finite-dimensional
unit vector specifies a finite probability distribution, a finite-dimensional
unitary matrix
specifies transition probabilities between a finite number of states.
Note that columns of a unitary matrix, as vectors, have the norm 1.
The "transitional" interpretation may be applied to
L2s on non-discrete spaces as well.