SlideShare a Scribd company logo
1 of 14
Summer Physics 2016: Attachment2(part 1) for the Third Update
Roa, F. J. P.
Let us refresh ourselves with the basic approaches in Path Integral and this present document
serves as a continuation of Summer Physics 2016: Attachment1 for the Second Update.
To start, say we are given with the matrix elements
⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩
of the time evolution operator
(1)
𝑈( 𝑇, 0) = 𝑈( 𝑇) = 𝑒𝑥𝑝(−
𝑖
ℏ
∫ 𝑑𝑡 𝐻̂(𝑡)
𝑇
0
)
These matrix elements are in terms of the continuous bases | 𝑥⟩ and these matrices bear the
physical interpretation that these give the probability amplitudes that a particle initially at some
initial state x at an initial time 𝑡 = 0 will be found at some other state 𝑥′
at a later time 𝑇 > 0.
That is, from the initial state vector | 𝑥⟩ given at an initial time say, 𝑡 = 0, with the application of
time evolution operator (1) we evolve this initial state vector into some other state vector | 𝜓⟩ =
𝑈( 𝑇)| 𝑥⟩ given at the later time T. Then we project this evolved state vector onto some other
arbitrary state vector | 𝑥′⟩ to form the matrix element ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ that gives the cited probability
amplitude.
The time evolution operator is known to observe the causality principle and owing to this
principle we can actually decompose (with a property of a group) a given time evolution operator
as product of individual time evolution operators say for instance,
(2)
𝑈( 𝑇, 𝑡1) = 𝑈( 𝑇, 𝑡2) 𝑈( 𝑡2, 𝑡1)
also assuming that these operators are unitary.
(3)
𝑈†
𝑈 = 𝑈𝑈†
= 1
Given (2), we may write or decompose a particular matrix element ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ also as product
of matrix elements
(4)
⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ = ∫ 𝑑𝑥1 ⟨ 𝑥′| 𝑈( 𝑇, 𝑡1)| 𝑥1⟩⟨ 𝑥1| 𝑈(𝑡1,0)| 𝑥⟩
also by having to insert the completeness relation of the bases
(5)
1 = ∫| 𝑥1⟩ 𝑑𝑥1⟨ 𝑥1|
Repeating this decomposition in an appropriate number of times inside the integral of (4) we
would end up writing this matrix element as multiple integrations with the corresponding matrix
elements
(6.1)
⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ = ∫∏ 𝑑𝑥 𝑖
𝑁−1
𝑖=1
∏⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩
𝑁−1
𝑗 =0
In this we are making the following identifications
(6.2)
𝑥 𝑁 = 𝑥′
, 𝑥0 = 𝑥
𝑡 𝑁 = 𝑇, 𝑡0 = 0
This resulting expression has a physical interpretation that the matrix element ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ that
gives final probability amplitude is the integration over those paths each of which goes with its
own probability amplitude. That is, this final probability amplitude is being decomposed into
numerous probability amplitudes for various possible paths that a particle can go along and then
summing or integrating these up to give the said final probability amplitude represented by the
said matrix element.
We make use of the fact that the projection of a given momentum state vector |𝑝𝑗⟩ onto an
arbitrary position state vector |𝑥𝑗+1⟩ can be expressed as a wave packet
(7.1)
⟨𝑥𝑗+1|𝑝𝑗 ⟩ =
1
√2𝜋ℏ
𝑒 𝑖 𝑥 𝑗+1 𝑝 𝑗/ ℏ
so each matrix element ⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ can be written using this wavepacket in the bases of
momentum space
(7.2)
⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗 )|𝑥𝑗⟩ = ∫ 𝑑𝑝𝑗 ⟨𝑥𝑗+1|𝑝𝑗 ⟩⟨𝑝𝑗 |𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩
also in this, it is assumed that the momentum bases satisfy the completeness relation
(7.3)
1 = ∫|𝑝𝑗 ⟩𝑑𝑝𝑗⟨𝑝𝑗 |
Say, considering that the Hamiltonian does not contain a time-dependent source so that we may
write the time-evolution operator as
(7.4)
𝑈(𝑡𝑗+1, 𝑡𝑗 ) = 𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻̂)
The system Hamiltonian can be obtained given the system Lagrangian L through Legendre
transformation
(7.5.1)
𝐻 = π𝑥̇ − 𝐿 =
1
2
𝑚𝑥̇ 2 +
1
2
𝑚𝜔2 𝑥2
̇
(7.5.2)
𝑝 = 𝑚𝑥̇ = π =
𝛿𝐿
𝛿𝑥̇
(7.5.3)
𝐻 =
1
2𝑚
𝑝2
+
1
2
𝑚𝜔2
𝑥2
We can use the matrix elements ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ in expressing ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ as
(7.5.4)
⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ = ∫⟨𝑝𝑗 |𝑈(𝑡𝑗+1 , 𝑡𝑗)|𝑝 𝑘⟩𝑑𝑝 𝑘 ⟨𝑝 𝑘|𝑥𝑗⟩
=
1
√2𝜋ℏ
∫ 𝑑𝑝 𝑘 ⟨ 𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ 𝑒− 𝑖 𝑥 𝑗 𝑝 𝑘/ ℏ
Note that ⟨𝑝𝑗 |𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ are the matrix elements of the time evolution operator (7.4) using
the momentum bases and in these bases we can have the eigenvalue equation
(7.5.5)
𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻̂) | 𝑝 𝑘⟩ = 𝑒𝑥𝑝 (−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻 𝑘)| 𝑝 𝑘⟩
where the eigenvalues 𝐻 𝑘 of the Hamiltonian operator 𝐻̂ consist of the eigenvalues of the
momentum and position operators
(7.5.6)
𝐻 𝑘 =
1
2𝑚
𝑝 𝑘
2
+
1
2
𝑚𝜔2
𝑥 𝑘
2
Let us also add the orthonormality condition on these (continuous) momentum bases
(7.5.7)
⟨𝑝𝑗 |𝑝 𝑘⟩ = 𝛿 ( 𝑝𝑗 − 𝑝 𝑘 )
Thus, writing the matrix elements ⟨𝑝𝑗 |𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ as
(7.5.8)
⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ = 𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻 𝑘) 𝛿 ( 𝑝𝑗 − 𝑝 𝑘 )
These are the needed matrix elements in (7.5.4) so integrating over 𝑝 𝑘 there yields,
(7.5.9)
⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ =
1
√2𝜋ℏ
𝑒− 𝑖 𝑥 𝑗 𝑝 𝑗/ ℏ
𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻𝑗)
In turn we use this in the matrix element (7.2) to write that as
(7.5.10)
⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩
=
1
2𝜋ℏ
∫ 𝑑𝑝𝑗 𝑒 𝑖( 𝑥 𝑗+1− 𝑥 𝑗 ) 𝑝 𝑗/ ℏ
𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗 )(
1
2𝑚
𝑝𝑗
2
+
1
2
𝑚𝜔2
𝑥𝑗
2
))
which involves a Gaussian integration over the variable 𝑝𝑗 .
Let us note that in some convenient (somewhat conventional) manner time is discretized in equal
intervals such as
(7.6)
𝑡𝑗+1 − 𝑡𝑗
ℏ
=
𝑇
𝑁ℏ
∆𝑡 =
𝑇
𝑁
= 𝑡𝑗+1 − 𝑡𝑗
Of important use in this Gaussian integration is the integral result
(7.7)
∫ 𝑑𝑦 𝑒 𝑎𝑦2
+𝑏𝑦
= √
𝜋
−𝑎
𝑒−𝑏2
/4𝑎
∞
−∞
so consequently, (7.5.10) results into
(7.8)
⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ = √
𝑚
𝑖2𝜋ℏ∆𝑡
𝑒𝑥𝑝(
𝑖∆𝑡
ℏ
(
𝑚
2
(𝑥𝑗+1 − 𝑥𝑗 ) 2
∆𝑡2
− 𝑉(𝑥𝑗)))
𝑉(𝑥𝑗) =
1
2
𝑚𝜔2
𝑥𝑗
2
We could have stopped at (7.5.10) and utilize this result to express (6.1) in momentum space but
we have opted to continue a little further at (7.8) intently so we may use this result in the partial
product indicated in (6.1) and write this directly in coordinate space.
We can write the following partial product
(7.9)
∏ √
𝑚
𝑖2𝜋ℏ∆𝑡
𝑁−1
𝑗 =0
= (
𝑚
𝑖2𝜋ℏ∆𝑡
)
𝑁/2
so we may write the indicated partial product in (6.1) as
(7.10)
∏⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩
𝑁−1
𝑗=0
= (
𝑚
𝑖2𝜋ℏ∆𝑡
)
𝑁/2
𝑒𝑥𝑝(∑
𝑖∆𝑡
ℏ
(
𝑚
2
(𝑥𝑗+1 − 𝑥𝑗 )2
∆𝑡2
− 𝑉(𝑥𝑗))
𝑁−1
𝑗 =0
)
So in coordinate space we can write for the probability amplitude represented by (6.1) in path
integral formalism and in coordinate space this can be expressed as
(7.11)
⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ = ∫ (
𝑚
𝑖2𝜋ℏ∆𝑡
)
𝑁/2
∏ 𝑑𝑥 𝑘
𝑁−1
𝑘=1
𝑒𝑥𝑝(
𝑖
ℏ
∑ ∆𝑡 (
𝑚
2
(𝑥𝑗+1 − 𝑥𝑗 )2
∆𝑡2
− 𝑉(𝑥𝑗))
𝑁−1
𝑗 =0
)
There could be an infinite number of paths that a particle can go from its initial state to the final
state so we take this path integration in the limit as 𝑁 → ∞ and in this limit, we may take it that
(7.12)
lim
𝑁 → ∞
∆𝑡 =
𝑇
𝑁
= 𝑑𝑡
so, the discrete case may pass into the continuous path integration over a continuous time
integral although we retain the discretization ∆𝑡 =
𝑇
𝑁
in the measure
(7.13)
𝔇𝑥 = (
𝑚
𝑖2𝜋ℏ∆𝑡
)
𝑁/2
∏ 𝑑𝑥 𝑘
𝑁−1
𝑘=1
but we can always resort to its normalized form.
Regarding the eigenvalue equation (7.5.5) and its corresponding matrix element (7.5.8), we can
delve shortly into these as a needed drill to be inserted in this present draft. We go the other way
around with this drill since we must use (7.5.9) first before (7.5.8) and (7.5.5) are proved and to
prove (7.5.9) in turn, we resort to the Trotter formula to obtain this ((7.5.9)) matrix element.
We start by writing the momentum state vector | 𝑝 𝑘⟩ in the continuous coordinate bases
(8.1)
| 𝑝 𝑘⟩ = ∫|𝑥𝑗⟩ 𝑑𝑥𝑗 ⟨𝑥𝑗|𝑝 𝑘⟩
and let this be operated with the time evolution operator 𝑈(𝑡𝑗+1, 𝑡𝑗), then write this operation
using the matrix element (7.5.9)
(8.2)
𝑈(𝑡𝑗+1, 𝑡𝑗)| 𝑝 𝑘⟩ = ∫|𝑝𝑗 ⟩𝑑𝑝𝑗 ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ 𝑑𝑥𝑗 ⟨𝑥𝑗|𝑝 𝑘⟩
Using the result (7.5.9) together with the wavepacket
(8.3)
⟨𝑥𝑗|𝑝 𝑘⟩ =
1
√2𝜋ℏ
𝑒 𝑖 𝑥 𝑗 𝑝 𝑘 / ℏ
we can express the matrix element of (8.2) in the following form
(8.4)
⟨𝑝𝑙|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ = ∫⟨𝑝𝑙|𝑝𝑗 ⟩𝑑𝑝𝑗 𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻𝑗)
1
2𝜋
∫ 𝑑𝑦𝑗 𝑒− 𝑖 (𝑝 𝑗 − 𝑝 𝑘 )𝑦𝑗
where we have introduced a change of variable, 𝑦𝑗 = 𝑥𝑗 /ℏ and consequently we have the
integral representation of a delta function,
(8.5)
𝛿( 𝑝 𝑘 − 𝑝𝑗 ) =
1
2𝜋
∫ 𝑑𝑦𝑗 𝑒− 𝑖 (𝑝 𝑗 − 𝑝 𝑘 )𝑦𝑗
If we wish to integrate over the differential variable 𝑑𝑝𝑗 , the picking would be 𝑝𝑗 = 𝑝 𝑘 and this
leads to the matrix element that we have wished to prove
(8.6)
⟨𝑝𝑙|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ = 𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻 𝑘)⟨ 𝑝𝑙| 𝑝 𝑘⟩
We can then use this resulting matrix element to prove the eigenvalue equation (7.5.5),
(8.7)
𝑈(𝑡𝑗+1 , 𝑡𝑗)| 𝑝 𝑘⟩ = ∫| 𝑝 𝑚⟩ 𝑑𝑝 𝑚 ⟨𝑝 𝑚 |𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝𝑙⟩ 𝑑𝑝𝑙 ⟨ 𝑝𝑙| 𝑝 𝑘⟩
= ∫| 𝑝 𝑚⟩ 𝑑𝑝 𝑚 𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻𝑙)⟨ 𝑝 𝑚 | 𝑝𝑙⟩ 𝑑𝑝𝑙 ⟨ 𝑝𝑙| 𝑝 𝑘⟩
We would integrate over the differential variable 𝑑𝑝𝑙, while noting the orthonormality condition
(7.5.7) on the momentum bases, and the picking is 𝑝𝑙 = 𝑝 𝑘 . Note that with this picking, we also
make the corresponding index change, 𝐻𝑙 → 𝐻 𝑘. Thus, we have the required eigenvalue
equation (7.5.5).
(8.8)
𝑈(𝑡𝑗+1, 𝑡𝑗)| 𝑝 𝑘⟩ = ∫| 𝑝 𝑚 ⟩ 𝑑𝑝 𝑚 𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗)𝐻 𝑘)⟨ 𝑝 𝑚 | 𝑝 𝑘⟩
= 𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗 )𝐻 𝑘)∫| 𝑝 𝑚 ⟩ 𝑑𝑝 𝑚 ⟨ 𝑝 𝑚 | 𝑝 𝑘⟩
= 𝑒𝑥𝑝(−
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗 )𝐻 𝑘) | 𝑝 𝑘⟩
Next, we prove (7.5.9) using the Trotter formula.
Say, we are given with a product of exponential functions that involve matrices or operators that
are non-commuting.
(9.1)
𝑦 = 𝑒 𝜖𝐴
𝑒 𝜖𝐵
where 𝜖 is some parameter that we take here as 𝜖 ∝ 𝑁−1
.
We then obtain for the approximate expansion of the right-hand-side of (9.1), up to second order
in 𝜖. This we achieve with the use of the following Mclaurin expansions
(9.2.1)
𝑒 𝑧
= 1 + 𝑧 + ∑
𝑧 𝑛
𝑛!
∞
𝑛=2
(9.2.2)
ln(1 + 𝑥 ) = ∑
(−1) 𝑘+1
𝑥 𝑘
𝑘
∞
𝑘=1
Without much algebraic work we then obtain the following result
(9.3)
𝑒 𝜖𝐴
𝑒 𝜖𝐵
= exp( 𝜖𝐴 + 𝜖𝐵 + 𝜖2
[ 𝐴, 𝐵]
2
)
As earlier said, this to second order in 𝜖. To get for the Trotter formula we multiply both sides
with exp (− 𝜖2 [ 𝐴,𝐵]
2
) from the right.
(9.4)
𝑒 𝜖𝐴
𝑒 𝜖𝐵
exp(− 𝜖2
[ 𝐴, 𝐵]
2
) = exp( 𝜖𝐴 + 𝜖𝐵 +
[(𝜖𝐴 + 𝜖𝐵 + 𝜖2 [ 𝐴, 𝐵]
2
), − 𝜖2 [ 𝐴, 𝐵]
2
]
2
)
On the right-hand side of (9.4), we discard terms in the parenthesis with 𝜖 higher than second
degree, while on the left-hand side, we expand the exponential exp(− 𝜖2 [ 𝐴,𝐵]
2
) up to second
order in 𝜖. Thus arriving at Trotter formula
(9.5)
𝑒 𝜖𝐴 + 𝜖𝐵
= 𝑒 𝜖𝐴
𝑒 𝜖𝐵
(1 − 𝜖2
[ 𝐴, 𝐵]
2
)
We think of the second term in the parenthesis on the right-hand-side of (9.5) as the second order
correction with 𝜖2
∝ 𝑁−2
.
In using (9.5) in the time evolution operator (7.4) we shall make the following identifications
(9.6.1)
𝜖 = −
𝑖
ℏ
(𝑡𝑗+1 − 𝑡𝑗) = −
𝑖
ℏ
𝑇
𝑁
(9.6.2)
𝐴 =
1
2𝑚
𝑝̂2
(9.6.3)
𝐵 = 𝑉(𝑥̂)
However, in forming for the matrix (7.5.9), we shall drop off that said second order correction in
the Trotter formula as we apply it in the time-evolution operator (7.4). So,
(9.7)
⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ = ⟨𝑝𝑗 | 𝑒 𝜖𝐴
𝑒 𝜖𝐵
|𝑥𝑗⟩
and let the operator 𝑒 𝜖𝐴
operate on ⟨𝑝𝑗 |, while 𝑒 𝜖𝐵
on |𝑥𝑗⟩.
For 𝑒 𝜖𝐴
on ⟨𝑝𝑗|, we have the eigenvalue equation
(9.8.1)
⟨𝑝𝑗| 𝑒 𝜖𝐴
= ( 𝑒 𝜖∗
𝐴
|𝑝𝑗 ⟩)
†
= ⟨𝑝𝑗 | 𝑒 𝜖𝐴 𝑗
with the corresponding eigenvalues
𝐴𝑗 =
1
2𝑚
𝑝𝑗
2
Here, the operator A is hermitian as the momentum operator is Hermitian, 𝑝̂†
= 𝑝̂. On the other
hand, the eigenvalue equation for 𝑒 𝜖𝐵
on |𝑥𝑗⟩ is given by
(9.8.2)
𝑒 𝜖𝐵
|𝑥𝑗⟩ = 𝑒 𝜖𝐵𝑗 |𝑥𝑗⟩
𝐵𝑗 =
1
2
𝑚𝜔2
𝑥𝑗
2
as the operator A is also Hermitian as the position operator is Hermitian, 𝑥̂†
= 𝑥̂.
Then making the projection of the statevector (9.8.2) on (9.8.1) would yield the required matrix
element (7.5.9) as we also take note of the Hermitian conjugate of (8.3) at 𝑗 = 𝑘.
[stopped: pp. IR(23p), skip notes: hawking radiation ref: townsend jacket f]
Ref’s
[1]Merzbacher, E., Quantum Mechanics, 2nd edition, 1970, Wiley & Sons, Inc.
[2]Baal, P., A COURSE IN FIELD THEORY,
http://www.lorentz.leidenuniv.nl/~vanbaal/FTcourse.html
[3]Cardy, J., Introduction to Quantum Field Theory
[4]Gaberdiel, M., Gehrmann-De Ridder, A., Quantum Field Theory
Summerp62016update3 slideshare   sqrdver2
Summerp62016update3 slideshare   sqrdver2
Summerp62016update3 slideshare   sqrdver2

More Related Content

What's hot

Dealinggreensfncsolft sqrd(10 5-2k16)
Dealinggreensfncsolft   sqrd(10 5-2k16)Dealinggreensfncsolft   sqrd(10 5-2k16)
Dealinggreensfncsolft sqrd(10 5-2k16)
foxtrot jp R
 
Sweeping discussions on dirac field1 update3 sqrd
Sweeping discussions on dirac field1 update3   sqrdSweeping discussions on dirac field1 update3   sqrd
Sweeping discussions on dirac field1 update3 sqrd
foxtrot jp R
 
Stringhighlights2015
Stringhighlights2015Stringhighlights2015
Stringhighlights2015
foxtrot jp R
 
One particle to_onepartlce_scattering_sqrd
One particle to_onepartlce_scattering_sqrdOne particle to_onepartlce_scattering_sqrd
One particle to_onepartlce_scattering_sqrd
foxtrot jp R
 
Higgsbosontoelectron positron decay_dsply
Higgsbosontoelectron positron decay_dsplyHiggsbosontoelectron positron decay_dsply
Higgsbosontoelectron positron decay_dsply
foxtrot jp R
 
Sweeping discussion on_dirac_fields_update1
Sweeping discussion on_dirac_fields_update1Sweeping discussion on_dirac_fields_update1
Sweeping discussion on_dirac_fields_update1
foxtrot jp R
 

What's hot (20)

Dealinggreensfncsolft sqrd(10 5-2k16)
Dealinggreensfncsolft   sqrd(10 5-2k16)Dealinggreensfncsolft   sqrd(10 5-2k16)
Dealinggreensfncsolft sqrd(10 5-2k16)
 
Parallel tansport sssqrd
Parallel tansport sssqrdParallel tansport sssqrd
Parallel tansport sssqrd
 
Sweeping discussions on dirac field1 update3 sqrd
Sweeping discussions on dirac field1 update3   sqrdSweeping discussions on dirac field1 update3   sqrd
Sweeping discussions on dirac field1 update3 sqrd
 
Fieldtheoryhighlights2015 setbb
Fieldtheoryhighlights2015 setbbFieldtheoryhighlights2015 setbb
Fieldtheoryhighlights2015 setbb
 
Very brief highlights on some key details 2
Very brief highlights on some key details 2Very brief highlights on some key details 2
Very brief highlights on some key details 2
 
Fieldtheoryhighlights2015 setb 16jan18
Fieldtheoryhighlights2015 setb 16jan18Fieldtheoryhighlights2015 setb 16jan18
Fieldtheoryhighlights2015 setb 16jan18
 
Stringhighlights2015
Stringhighlights2015Stringhighlights2015
Stringhighlights2015
 
Fieldtheoryhighlights2015 setb
Fieldtheoryhighlights2015 setbFieldtheoryhighlights2015 setb
Fieldtheoryhighlights2015 setb
 
Sw2gr1 sqrd
Sw2gr1   sqrdSw2gr1   sqrd
Sw2gr1 sqrd
 
One particle to_onepartlce_scattering_5302020_pdfcpy
One particle to_onepartlce_scattering_5302020_pdfcpyOne particle to_onepartlce_scattering_5302020_pdfcpy
One particle to_onepartlce_scattering_5302020_pdfcpy
 
One particle to_onepartlce_scattering_12082020_fordisplay
One particle to_onepartlce_scattering_12082020_fordisplayOne particle to_onepartlce_scattering_12082020_fordisplay
One particle to_onepartlce_scattering_12082020_fordisplay
 
Hawkinrad a sourceasd
Hawkinrad a sourceasdHawkinrad a sourceasd
Hawkinrad a sourceasd
 
One particle to_onepartlce_scatteringsqrdcpy1
One particle to_onepartlce_scatteringsqrdcpy1One particle to_onepartlce_scatteringsqrdcpy1
One particle to_onepartlce_scatteringsqrdcpy1
 
One particle to_onepartlce_scattering_sqrd
One particle to_onepartlce_scattering_sqrdOne particle to_onepartlce_scattering_sqrd
One particle to_onepartlce_scattering_sqrd
 
One particle to_onepartlce_scattering_18052020
One particle to_onepartlce_scattering_18052020One particle to_onepartlce_scattering_18052020
One particle to_onepartlce_scattering_18052020
 
Higgsbosontoelectron positron decay_dsply
Higgsbosontoelectron positron decay_dsplyHiggsbosontoelectron positron decay_dsply
Higgsbosontoelectron positron decay_dsply
 
Sweeping discussion on_dirac_fields_update1
Sweeping discussion on_dirac_fields_update1Sweeping discussion on_dirac_fields_update1
Sweeping discussion on_dirac_fields_update1
 
Trialdraftsppformat dimen test1
Trialdraftsppformat dimen   test1Trialdraftsppformat dimen   test1
Trialdraftsppformat dimen test1
 
Sw2gr1 set a
Sw2gr1 set aSw2gr1 set a
Sw2gr1 set a
 
Generalized Laplace - Mellin Integral Transformation
Generalized Laplace - Mellin Integral TransformationGeneralized Laplace - Mellin Integral Transformation
Generalized Laplace - Mellin Integral Transformation
 

Viewers also liked (7)

Quick refresher on the physics of coaxial cable(draftone)
Quick refresher on the physics of coaxial cable(draftone)Quick refresher on the physics of coaxial cable(draftone)
Quick refresher on the physics of coaxial cable(draftone)
 
Frequency analyis i
Frequency analyis iFrequency analyis i
Frequency analyis i
 
Sweeping discussion on_dirac_fields_secured
Sweeping discussion on_dirac_fields_securedSweeping discussion on_dirac_fields_secured
Sweeping discussion on_dirac_fields_secured
 
Mathandphysicspart6subpart1 draftbacc
Mathandphysicspart6subpart1 draftbaccMathandphysicspart6subpart1 draftbacc
Mathandphysicspart6subpart1 draftbacc
 
Fieldtheoryhighlights2015
Fieldtheoryhighlights2015Fieldtheoryhighlights2015
Fieldtheoryhighlights2015
 
What We (Don't) Know About the Beginning of the Universe
What We (Don't) Know About the Beginning of the UniverseWhat We (Don't) Know About the Beginning of the Universe
What We (Don't) Know About the Beginning of the Universe
 
Gifford Lecture One: Cosmos, Time, Memory
Gifford Lecture One: Cosmos, Time, MemoryGifford Lecture One: Cosmos, Time, Memory
Gifford Lecture One: Cosmos, Time, Memory
 

Similar to Summerp62016update3 slideshare sqrdver2

1+3 gr reduced_as_1+1_gravity_set_1 280521fordsply
1+3 gr reduced_as_1+1_gravity_set_1 280521fordsply1+3 gr reduced_as_1+1_gravity_set_1 280521fordsply
1+3 gr reduced_as_1+1_gravity_set_1 280521fordsply
foxtrot jp R
 
1+3 gr reduced_as_1+1_gravity_set_1_fordisplay
1+3 gr reduced_as_1+1_gravity_set_1_fordisplay1+3 gr reduced_as_1+1_gravity_set_1_fordisplay
1+3 gr reduced_as_1+1_gravity_set_1_fordisplay
foxtrot jp R
 

Similar to Summerp62016update3 slideshare sqrdver2 (20)

E0561719
E0561719E0561719
E0561719
 
lec14.ppt
lec14.pptlec14.ppt
lec14.ppt
 
1+3 gr reduced_as_1+1_gravity_set_1 280521fordsply
1+3 gr reduced_as_1+1_gravity_set_1 280521fordsply1+3 gr reduced_as_1+1_gravity_set_1 280521fordsply
1+3 gr reduced_as_1+1_gravity_set_1 280521fordsply
 
A Class of Polynomials Associated with Differential Operator and with a Gener...
A Class of Polynomials Associated with Differential Operator and with a Gener...A Class of Polynomials Associated with Differential Operator and with a Gener...
A Class of Polynomials Associated with Differential Operator and with a Gener...
 
Parallel transport additional explorations part1&2 sqrd
Parallel transport additional explorations part1&2 sqrdParallel transport additional explorations part1&2 sqrd
Parallel transport additional explorations part1&2 sqrd
 
Parallel tansportsqrdaa
Parallel tansportsqrdaaParallel tansportsqrdaa
Parallel tansportsqrdaa
 
Bhdpis1
Bhdpis1Bhdpis1
Bhdpis1
 
5. Rania.pdf
5. Rania.pdf5. Rania.pdf
5. Rania.pdf
 
5. Rania.pdf
5. Rania.pdf5. Rania.pdf
5. Rania.pdf
 
Solution of equations and eigenvalue problems
Solution of equations and eigenvalue problemsSolution of equations and eigenvalue problems
Solution of equations and eigenvalue problems
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
 
Change variablethm
Change variablethmChange variablethm
Change variablethm
 
Integral calculus
Integral calculusIntegral calculus
Integral calculus
 
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mapping
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix MappingDual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mapping
Dual Spaces of Generalized Cesaro Sequence Space and Related Matrix Mapping
 
1+3 gr reduced_as_1+1_gravity_set_1_fordisplay
1+3 gr reduced_as_1+1_gravity_set_1_fordisplay1+3 gr reduced_as_1+1_gravity_set_1_fordisplay
1+3 gr reduced_as_1+1_gravity_set_1_fordisplay
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
 
Outgoing ingoingkleingordon ghp
Outgoing ingoingkleingordon ghpOutgoing ingoingkleingordon ghp
Outgoing ingoingkleingordon ghp
 
New Information on the Generalized Euler-Tricomi Equation
New Information on the Generalized Euler-Tricomi Equation New Information on the Generalized Euler-Tricomi Equation
New Information on the Generalized Euler-Tricomi Equation
 
lec13.ppt
lec13.pptlec13.ppt
lec13.ppt
 
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...
Matrix Transformations on Paranormed Sequence Spaces Related To De La Vallée-...
 

Recently uploaded

Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
MohamedFarag457087
 
Pteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecyclePteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecycle
Cherry
 
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.
Cherry
 

Recently uploaded (20)

Cot curve, melting temperature, unique and repetitive DNA
Cot curve, melting temperature, unique and repetitive DNACot curve, melting temperature, unique and repetitive DNA
Cot curve, melting temperature, unique and repetitive DNA
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
 
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRingsTransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
 
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIACURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
Efficient spin-up of Earth System Models usingsequence acceleration
Efficient spin-up of Earth System Models usingsequence accelerationEfficient spin-up of Earth System Models usingsequence acceleration
Efficient spin-up of Earth System Models usingsequence acceleration
 
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxGenome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
 
Pteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecyclePteris : features, anatomy, morphology and lifecycle
Pteris : features, anatomy, morphology and lifecycle
 
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
 
Understanding Partial Differential Equations: Types and Solution Methods
Understanding Partial Differential Equations: Types and Solution MethodsUnderstanding Partial Differential Equations: Types and Solution Methods
Understanding Partial Differential Equations: Types and Solution Methods
 
GBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolationGBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolation
 
GBSN - Biochemistry (Unit 3) Metabolism
GBSN - Biochemistry (Unit 3) MetabolismGBSN - Biochemistry (Unit 3) Metabolism
GBSN - Biochemistry (Unit 3) Metabolism
 
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate ProfessorThyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
 
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
 
ABHISHEK ANTIBIOTICS PPT MICROBIOLOGY // USES OF ANTIOBIOTICS TYPES OF ANTIB...
ABHISHEK ANTIBIOTICS PPT MICROBIOLOGY  // USES OF ANTIOBIOTICS TYPES OF ANTIB...ABHISHEK ANTIBIOTICS PPT MICROBIOLOGY  // USES OF ANTIOBIOTICS TYPES OF ANTIB...
ABHISHEK ANTIBIOTICS PPT MICROBIOLOGY // USES OF ANTIOBIOTICS TYPES OF ANTIB...
 
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
Genome Projects : Human, Rice,Wheat,E coli and Arabidopsis.
 
Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.Porella : features, morphology, anatomy, reproduction etc.
Porella : features, morphology, anatomy, reproduction etc.
 
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryFAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
 

Summerp62016update3 slideshare sqrdver2

  • 1. Summer Physics 2016: Attachment2(part 1) for the Third Update Roa, F. J. P. Let us refresh ourselves with the basic approaches in Path Integral and this present document serves as a continuation of Summer Physics 2016: Attachment1 for the Second Update. To start, say we are given with the matrix elements ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ of the time evolution operator (1) 𝑈( 𝑇, 0) = 𝑈( 𝑇) = 𝑒𝑥𝑝(− 𝑖 ℏ ∫ 𝑑𝑡 𝐻̂(𝑡) 𝑇 0 ) These matrix elements are in terms of the continuous bases | 𝑥⟩ and these matrices bear the physical interpretation that these give the probability amplitudes that a particle initially at some initial state x at an initial time 𝑡 = 0 will be found at some other state 𝑥′ at a later time 𝑇 > 0. That is, from the initial state vector | 𝑥⟩ given at an initial time say, 𝑡 = 0, with the application of time evolution operator (1) we evolve this initial state vector into some other state vector | 𝜓⟩ = 𝑈( 𝑇)| 𝑥⟩ given at the later time T. Then we project this evolved state vector onto some other arbitrary state vector | 𝑥′⟩ to form the matrix element ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ that gives the cited probability amplitude. The time evolution operator is known to observe the causality principle and owing to this principle we can actually decompose (with a property of a group) a given time evolution operator as product of individual time evolution operators say for instance, (2) 𝑈( 𝑇, 𝑡1) = 𝑈( 𝑇, 𝑡2) 𝑈( 𝑡2, 𝑡1) also assuming that these operators are unitary. (3) 𝑈† 𝑈 = 𝑈𝑈† = 1
  • 2. Given (2), we may write or decompose a particular matrix element ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ also as product of matrix elements (4) ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ = ∫ 𝑑𝑥1 ⟨ 𝑥′| 𝑈( 𝑇, 𝑡1)| 𝑥1⟩⟨ 𝑥1| 𝑈(𝑡1,0)| 𝑥⟩ also by having to insert the completeness relation of the bases (5) 1 = ∫| 𝑥1⟩ 𝑑𝑥1⟨ 𝑥1| Repeating this decomposition in an appropriate number of times inside the integral of (4) we would end up writing this matrix element as multiple integrations with the corresponding matrix elements (6.1) ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ = ∫∏ 𝑑𝑥 𝑖 𝑁−1 𝑖=1 ∏⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ 𝑁−1 𝑗 =0 In this we are making the following identifications (6.2) 𝑥 𝑁 = 𝑥′ , 𝑥0 = 𝑥 𝑡 𝑁 = 𝑇, 𝑡0 = 0 This resulting expression has a physical interpretation that the matrix element ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ that gives final probability amplitude is the integration over those paths each of which goes with its own probability amplitude. That is, this final probability amplitude is being decomposed into numerous probability amplitudes for various possible paths that a particle can go along and then summing or integrating these up to give the said final probability amplitude represented by the said matrix element. We make use of the fact that the projection of a given momentum state vector |𝑝𝑗⟩ onto an arbitrary position state vector |𝑥𝑗+1⟩ can be expressed as a wave packet (7.1)
  • 3. ⟨𝑥𝑗+1|𝑝𝑗 ⟩ = 1 √2𝜋ℏ 𝑒 𝑖 𝑥 𝑗+1 𝑝 𝑗/ ℏ so each matrix element ⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ can be written using this wavepacket in the bases of momentum space (7.2) ⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗 )|𝑥𝑗⟩ = ∫ 𝑑𝑝𝑗 ⟨𝑥𝑗+1|𝑝𝑗 ⟩⟨𝑝𝑗 |𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ also in this, it is assumed that the momentum bases satisfy the completeness relation (7.3) 1 = ∫|𝑝𝑗 ⟩𝑑𝑝𝑗⟨𝑝𝑗 | Say, considering that the Hamiltonian does not contain a time-dependent source so that we may write the time-evolution operator as (7.4) 𝑈(𝑡𝑗+1, 𝑡𝑗 ) = 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻̂) The system Hamiltonian can be obtained given the system Lagrangian L through Legendre transformation (7.5.1) 𝐻 = π𝑥̇ − 𝐿 = 1 2 𝑚𝑥̇ 2 + 1 2 𝑚𝜔2 𝑥2 ̇ (7.5.2) 𝑝 = 𝑚𝑥̇ = π = 𝛿𝐿 𝛿𝑥̇ (7.5.3) 𝐻 = 1 2𝑚 𝑝2 + 1 2 𝑚𝜔2 𝑥2 We can use the matrix elements ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ in expressing ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ as
  • 4. (7.5.4) ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ = ∫⟨𝑝𝑗 |𝑈(𝑡𝑗+1 , 𝑡𝑗)|𝑝 𝑘⟩𝑑𝑝 𝑘 ⟨𝑝 𝑘|𝑥𝑗⟩ = 1 √2𝜋ℏ ∫ 𝑑𝑝 𝑘 ⟨ 𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ 𝑒− 𝑖 𝑥 𝑗 𝑝 𝑘/ ℏ Note that ⟨𝑝𝑗 |𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ are the matrix elements of the time evolution operator (7.4) using the momentum bases and in these bases we can have the eigenvalue equation (7.5.5) 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻̂) | 𝑝 𝑘⟩ = 𝑒𝑥𝑝 (− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻 𝑘)| 𝑝 𝑘⟩ where the eigenvalues 𝐻 𝑘 of the Hamiltonian operator 𝐻̂ consist of the eigenvalues of the momentum and position operators (7.5.6) 𝐻 𝑘 = 1 2𝑚 𝑝 𝑘 2 + 1 2 𝑚𝜔2 𝑥 𝑘 2 Let us also add the orthonormality condition on these (continuous) momentum bases (7.5.7) ⟨𝑝𝑗 |𝑝 𝑘⟩ = 𝛿 ( 𝑝𝑗 − 𝑝 𝑘 ) Thus, writing the matrix elements ⟨𝑝𝑗 |𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ as (7.5.8) ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ = 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻 𝑘) 𝛿 ( 𝑝𝑗 − 𝑝 𝑘 ) These are the needed matrix elements in (7.5.4) so integrating over 𝑝 𝑘 there yields, (7.5.9) ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ = 1 √2𝜋ℏ 𝑒− 𝑖 𝑥 𝑗 𝑝 𝑗/ ℏ 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻𝑗) In turn we use this in the matrix element (7.2) to write that as
  • 5. (7.5.10) ⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ = 1 2𝜋ℏ ∫ 𝑑𝑝𝑗 𝑒 𝑖( 𝑥 𝑗+1− 𝑥 𝑗 ) 𝑝 𝑗/ ℏ 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗 )( 1 2𝑚 𝑝𝑗 2 + 1 2 𝑚𝜔2 𝑥𝑗 2 )) which involves a Gaussian integration over the variable 𝑝𝑗 . Let us note that in some convenient (somewhat conventional) manner time is discretized in equal intervals such as (7.6) 𝑡𝑗+1 − 𝑡𝑗 ℏ = 𝑇 𝑁ℏ ∆𝑡 = 𝑇 𝑁 = 𝑡𝑗+1 − 𝑡𝑗 Of important use in this Gaussian integration is the integral result (7.7) ∫ 𝑑𝑦 𝑒 𝑎𝑦2 +𝑏𝑦 = √ 𝜋 −𝑎 𝑒−𝑏2 /4𝑎 ∞ −∞ so consequently, (7.5.10) results into (7.8) ⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ = √ 𝑚 𝑖2𝜋ℏ∆𝑡 𝑒𝑥𝑝( 𝑖∆𝑡 ℏ ( 𝑚 2 (𝑥𝑗+1 − 𝑥𝑗 ) 2 ∆𝑡2 − 𝑉(𝑥𝑗))) 𝑉(𝑥𝑗) = 1 2 𝑚𝜔2 𝑥𝑗 2 We could have stopped at (7.5.10) and utilize this result to express (6.1) in momentum space but we have opted to continue a little further at (7.8) intently so we may use this result in the partial product indicated in (6.1) and write this directly in coordinate space. We can write the following partial product
  • 6. (7.9) ∏ √ 𝑚 𝑖2𝜋ℏ∆𝑡 𝑁−1 𝑗 =0 = ( 𝑚 𝑖2𝜋ℏ∆𝑡 ) 𝑁/2 so we may write the indicated partial product in (6.1) as (7.10) ∏⟨𝑥𝑗+1|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ 𝑁−1 𝑗=0 = ( 𝑚 𝑖2𝜋ℏ∆𝑡 ) 𝑁/2 𝑒𝑥𝑝(∑ 𝑖∆𝑡 ℏ ( 𝑚 2 (𝑥𝑗+1 − 𝑥𝑗 )2 ∆𝑡2 − 𝑉(𝑥𝑗)) 𝑁−1 𝑗 =0 ) So in coordinate space we can write for the probability amplitude represented by (6.1) in path integral formalism and in coordinate space this can be expressed as (7.11) ⟨ 𝑥′| 𝑈(𝑇)| 𝑥⟩ = ∫ ( 𝑚 𝑖2𝜋ℏ∆𝑡 ) 𝑁/2 ∏ 𝑑𝑥 𝑘 𝑁−1 𝑘=1 𝑒𝑥𝑝( 𝑖 ℏ ∑ ∆𝑡 ( 𝑚 2 (𝑥𝑗+1 − 𝑥𝑗 )2 ∆𝑡2 − 𝑉(𝑥𝑗)) 𝑁−1 𝑗 =0 ) There could be an infinite number of paths that a particle can go from its initial state to the final state so we take this path integration in the limit as 𝑁 → ∞ and in this limit, we may take it that (7.12) lim 𝑁 → ∞ ∆𝑡 = 𝑇 𝑁 = 𝑑𝑡 so, the discrete case may pass into the continuous path integration over a continuous time integral although we retain the discretization ∆𝑡 = 𝑇 𝑁 in the measure (7.13) 𝔇𝑥 = ( 𝑚 𝑖2𝜋ℏ∆𝑡 ) 𝑁/2 ∏ 𝑑𝑥 𝑘 𝑁−1 𝑘=1 but we can always resort to its normalized form. Regarding the eigenvalue equation (7.5.5) and its corresponding matrix element (7.5.8), we can delve shortly into these as a needed drill to be inserted in this present draft. We go the other way around with this drill since we must use (7.5.9) first before (7.5.8) and (7.5.5) are proved and to prove (7.5.9) in turn, we resort to the Trotter formula to obtain this ((7.5.9)) matrix element.
  • 7. We start by writing the momentum state vector | 𝑝 𝑘⟩ in the continuous coordinate bases (8.1) | 𝑝 𝑘⟩ = ∫|𝑥𝑗⟩ 𝑑𝑥𝑗 ⟨𝑥𝑗|𝑝 𝑘⟩ and let this be operated with the time evolution operator 𝑈(𝑡𝑗+1, 𝑡𝑗), then write this operation using the matrix element (7.5.9) (8.2) 𝑈(𝑡𝑗+1, 𝑡𝑗)| 𝑝 𝑘⟩ = ∫|𝑝𝑗 ⟩𝑑𝑝𝑗 ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ 𝑑𝑥𝑗 ⟨𝑥𝑗|𝑝 𝑘⟩ Using the result (7.5.9) together with the wavepacket (8.3) ⟨𝑥𝑗|𝑝 𝑘⟩ = 1 √2𝜋ℏ 𝑒 𝑖 𝑥 𝑗 𝑝 𝑘 / ℏ we can express the matrix element of (8.2) in the following form (8.4) ⟨𝑝𝑙|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ = ∫⟨𝑝𝑙|𝑝𝑗 ⟩𝑑𝑝𝑗 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻𝑗) 1 2𝜋 ∫ 𝑑𝑦𝑗 𝑒− 𝑖 (𝑝 𝑗 − 𝑝 𝑘 )𝑦𝑗 where we have introduced a change of variable, 𝑦𝑗 = 𝑥𝑗 /ℏ and consequently we have the integral representation of a delta function, (8.5) 𝛿( 𝑝 𝑘 − 𝑝𝑗 ) = 1 2𝜋 ∫ 𝑑𝑦𝑗 𝑒− 𝑖 (𝑝 𝑗 − 𝑝 𝑘 )𝑦𝑗 If we wish to integrate over the differential variable 𝑑𝑝𝑗 , the picking would be 𝑝𝑗 = 𝑝 𝑘 and this leads to the matrix element that we have wished to prove (8.6) ⟨𝑝𝑙|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝 𝑘⟩ = 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻 𝑘)⟨ 𝑝𝑙| 𝑝 𝑘⟩ We can then use this resulting matrix element to prove the eigenvalue equation (7.5.5),
  • 8. (8.7) 𝑈(𝑡𝑗+1 , 𝑡𝑗)| 𝑝 𝑘⟩ = ∫| 𝑝 𝑚⟩ 𝑑𝑝 𝑚 ⟨𝑝 𝑚 |𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑝𝑙⟩ 𝑑𝑝𝑙 ⟨ 𝑝𝑙| 𝑝 𝑘⟩ = ∫| 𝑝 𝑚⟩ 𝑑𝑝 𝑚 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻𝑙)⟨ 𝑝 𝑚 | 𝑝𝑙⟩ 𝑑𝑝𝑙 ⟨ 𝑝𝑙| 𝑝 𝑘⟩ We would integrate over the differential variable 𝑑𝑝𝑙, while noting the orthonormality condition (7.5.7) on the momentum bases, and the picking is 𝑝𝑙 = 𝑝 𝑘 . Note that with this picking, we also make the corresponding index change, 𝐻𝑙 → 𝐻 𝑘. Thus, we have the required eigenvalue equation (7.5.5). (8.8) 𝑈(𝑡𝑗+1, 𝑡𝑗)| 𝑝 𝑘⟩ = ∫| 𝑝 𝑚 ⟩ 𝑑𝑝 𝑚 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗)𝐻 𝑘)⟨ 𝑝 𝑚 | 𝑝 𝑘⟩ = 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗 )𝐻 𝑘)∫| 𝑝 𝑚 ⟩ 𝑑𝑝 𝑚 ⟨ 𝑝 𝑚 | 𝑝 𝑘⟩ = 𝑒𝑥𝑝(− 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗 )𝐻 𝑘) | 𝑝 𝑘⟩ Next, we prove (7.5.9) using the Trotter formula. Say, we are given with a product of exponential functions that involve matrices or operators that are non-commuting. (9.1) 𝑦 = 𝑒 𝜖𝐴 𝑒 𝜖𝐵 where 𝜖 is some parameter that we take here as 𝜖 ∝ 𝑁−1 . We then obtain for the approximate expansion of the right-hand-side of (9.1), up to second order in 𝜖. This we achieve with the use of the following Mclaurin expansions (9.2.1) 𝑒 𝑧 = 1 + 𝑧 + ∑ 𝑧 𝑛 𝑛! ∞ 𝑛=2 (9.2.2) ln(1 + 𝑥 ) = ∑ (−1) 𝑘+1 𝑥 𝑘 𝑘 ∞ 𝑘=1
  • 9. Without much algebraic work we then obtain the following result (9.3) 𝑒 𝜖𝐴 𝑒 𝜖𝐵 = exp( 𝜖𝐴 + 𝜖𝐵 + 𝜖2 [ 𝐴, 𝐵] 2 ) As earlier said, this to second order in 𝜖. To get for the Trotter formula we multiply both sides with exp (− 𝜖2 [ 𝐴,𝐵] 2 ) from the right. (9.4) 𝑒 𝜖𝐴 𝑒 𝜖𝐵 exp(− 𝜖2 [ 𝐴, 𝐵] 2 ) = exp( 𝜖𝐴 + 𝜖𝐵 + [(𝜖𝐴 + 𝜖𝐵 + 𝜖2 [ 𝐴, 𝐵] 2 ), − 𝜖2 [ 𝐴, 𝐵] 2 ] 2 ) On the right-hand side of (9.4), we discard terms in the parenthesis with 𝜖 higher than second degree, while on the left-hand side, we expand the exponential exp(− 𝜖2 [ 𝐴,𝐵] 2 ) up to second order in 𝜖. Thus arriving at Trotter formula (9.5) 𝑒 𝜖𝐴 + 𝜖𝐵 = 𝑒 𝜖𝐴 𝑒 𝜖𝐵 (1 − 𝜖2 [ 𝐴, 𝐵] 2 ) We think of the second term in the parenthesis on the right-hand-side of (9.5) as the second order correction with 𝜖2 ∝ 𝑁−2 . In using (9.5) in the time evolution operator (7.4) we shall make the following identifications (9.6.1) 𝜖 = − 𝑖 ℏ (𝑡𝑗+1 − 𝑡𝑗) = − 𝑖 ℏ 𝑇 𝑁 (9.6.2) 𝐴 = 1 2𝑚 𝑝̂2 (9.6.3) 𝐵 = 𝑉(𝑥̂)
  • 10. However, in forming for the matrix (7.5.9), we shall drop off that said second order correction in the Trotter formula as we apply it in the time-evolution operator (7.4). So, (9.7) ⟨𝑝𝑗|𝑈(𝑡𝑗+1, 𝑡𝑗)|𝑥𝑗⟩ = ⟨𝑝𝑗 | 𝑒 𝜖𝐴 𝑒 𝜖𝐵 |𝑥𝑗⟩ and let the operator 𝑒 𝜖𝐴 operate on ⟨𝑝𝑗 |, while 𝑒 𝜖𝐵 on |𝑥𝑗⟩. For 𝑒 𝜖𝐴 on ⟨𝑝𝑗|, we have the eigenvalue equation (9.8.1) ⟨𝑝𝑗| 𝑒 𝜖𝐴 = ( 𝑒 𝜖∗ 𝐴 |𝑝𝑗 ⟩) † = ⟨𝑝𝑗 | 𝑒 𝜖𝐴 𝑗 with the corresponding eigenvalues 𝐴𝑗 = 1 2𝑚 𝑝𝑗 2 Here, the operator A is hermitian as the momentum operator is Hermitian, 𝑝̂† = 𝑝̂. On the other hand, the eigenvalue equation for 𝑒 𝜖𝐵 on |𝑥𝑗⟩ is given by (9.8.2) 𝑒 𝜖𝐵 |𝑥𝑗⟩ = 𝑒 𝜖𝐵𝑗 |𝑥𝑗⟩ 𝐵𝑗 = 1 2 𝑚𝜔2 𝑥𝑗 2 as the operator A is also Hermitian as the position operator is Hermitian, 𝑥̂† = 𝑥̂. Then making the projection of the statevector (9.8.2) on (9.8.1) would yield the required matrix element (7.5.9) as we also take note of the Hermitian conjugate of (8.3) at 𝑗 = 𝑘.
  • 11. [stopped: pp. IR(23p), skip notes: hawking radiation ref: townsend jacket f] Ref’s [1]Merzbacher, E., Quantum Mechanics, 2nd edition, 1970, Wiley & Sons, Inc. [2]Baal, P., A COURSE IN FIELD THEORY, http://www.lorentz.leidenuniv.nl/~vanbaal/FTcourse.html [3]Cardy, J., Introduction to Quantum Field Theory [4]Gaberdiel, M., Gehrmann-De Ridder, A., Quantum Field Theory