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Dyson Expansion for Transition Amplitudes

The Dyson expansion organizes interaction-driven evolution by the number of times the interaction Hamiltonian acts. After taking matrix elements, each term becomes a transition amplitude: first order connects the initial and final channels directly, second order sums over intermediate channels and ordered interaction times, and higher orders generate longer chains.

This page owns that transition-amplitude interpretation, its probability bookkeeping, and its diagrammatic preview. The exact operator derivation is canonical at Dyson Expansion as Formal Evolution, while Interaction Picture for Perturbation Theory owns the Hamiltonian split and transformed matrix elements.

For

H(t)=H0+λV(t),H(t)=H_0+\lambda V(t),

the interaction-picture propagator satisfies

iℏ∂UI(t,t0)∂t=λVI(t)UI(t,t0),i\hbar \frac{\partial U_I(t,t_0)}{\partial t} = \lambda V_I(t)U_I(t,t_0),

with

UI(t0,t0)=I.U_I(t_0,t_0)=I.

Its integral equation is

UI(t,t0)=I−iλℏ∫t0tdt1 VI(t1)UI(t1,t0).U_I(t,t_0) = I - \frac{i\lambda}{\hbar} \int_{t_0}^{t}dt_1\, V_I(t_1)U_I(t_1,t_0).

Iterating produces

UI(t,t0)=I+λUI(1)(t,t0)+λ2UI(2)(t,t0)+⋯ .\begin{aligned} U_I(t,t_0) ={}& I+\lambda U_I^{(1)}(t,t_0) \\ &+\lambda^2U_I^{(2)}(t,t_0) +\cdots. \end{aligned}

The superscript counts interaction insertions, not powers already hidden in the definition of VV. If a physical interaction itself contains several coupling constants, their powers must be restored explicitly when interpreting the result.

The first operator coefficient is

UI(1)(t,t0)=−iℏ∫t0tdt1 VI(t1).U_I^{(1)}(t,t_0) = -\frac{i}{\hbar} \int_{t_0}^{t}dt_1\,V_I(t_1).

For an initial state ∣i⟩\lvert i\rangle and final state ∣f⟩\lvert f\rangle, define

Afi(t,t0)=⟨f∣UI(t,t0)∣i⟩.\mathcal A_{fi}(t,t_0) = \langle f\rvert U_I(t,t_0)\lvert i\rangle.

Then

Afi=δfi+λAfi(1)+λ2Afi(2)+⋯ ,\mathcal A_{fi} = \delta_{fi} +\lambda\mathcal A_{fi}^{(1)} +\lambda^2\mathcal A_{fi}^{(2)} +\cdots,

with

Afi(1)=−iℏ∫t0tdt1 ⟨f∣VI(t1)∣i⟩.\mathcal A_{fi}^{(1)} = -\frac{i}{\hbar} \int_{t_0}^{t}dt_1\, \langle f\rvert V_I(t_1)\lvert i\rangle.

For a time-independent reference Hamiltonian,

⟨f∣VI(t1)∣i⟩=eiωfi(t1−t0)Vfi(t1).\langle f\rvert V_I(t_1)\lvert i\rangle = e^{i\omega_{fi}(t_1-t_0)}V_{fi}(t_1).

The first-order result is therefore a direct matrix element filtered by its accumulated phase. Its detailed finite-time resonance structure belongs to First-Order Transition Probability.

The next iteration gives

UI(2)(t,t0)=(−iℏ)2×∫t0tdt2∫t0t2dt1 ×VI(t2)VI(t1).\begin{aligned} U_I^{(2)}(t,t_0) ={}& \left(-\frac{i}{\hbar}\right)^2 \\ &\times \int_{t_0}^{t}dt_2 \int_{t_0}^{t_2}dt_1\, \\ &\times V_I(t_2)V_I(t_1). \end{aligned}

The nested limits impose

t0≤t1≤t2≤t.t_0\le t_1\le t_2\le t.

The rightmost operator acts first. The second-order amplitude is

Afi(2)=(−iℏ)2×∫t0tdt2∫t0t2dt1 ×⟨f∣VI(t2)VI(t1)∣i⟩.\begin{aligned} \mathcal A_{fi}^{(2)} ={}& \left(-\frac{i}{\hbar}\right)^2 \\ &\times \int_{t_0}^{t}dt_2 \int_{t_0}^{t_2}dt_1\, \\ &\times \langle f\rvert V_I(t_2)V_I(t_1) \lvert i\rangle. \end{aligned}

Insert the identity

I=∑n∣n⟩⟨n∣I=\sum_n\lvert n\rangle\langle n\rvert

between the two interactions:

Afi(2)=(−iℏ)2∑n×∫t0tdt2∫t0t2dt1 ×⟨f∣VI(t2)∣n⟩×⟨n∣VI(t1)∣i⟩.\begin{aligned} \mathcal A_{fi}^{(2)} ={}& \left(-\frac{i}{\hbar}\right)^2 \sum_n \\ &\times \int_{t_0}^{t}dt_2 \int_{t_0}^{t_2}dt_1\, \\ &\times \langle f\rvert V_I(t_2)\lvert n\rangle \\ &\times \langle n\rvert V_I(t_1)\lvert i\rangle. \end{aligned}

Every complete set gives the same exact answer. A basis adapted to H0H_0, symmetry, or the spectrum usually makes the phases and selection rules transparent.

For time-independent H0H_0,

Afi(2)=(−iℏ)2∑n×∫t0tdt2∫t0t2dt1 ×eiωfn(t2−t0)Vfn(t2)×eiωni(t1−t0)Vni(t1).\begin{aligned} \mathcal A_{fi}^{(2)} ={}& \left(-\frac{i}{\hbar}\right)^2 \sum_n \\ &\times \int_{t_0}^{t}dt_2 \int_{t_0}^{t_2}dt_1\, \\ &\times e^{i\omega_{fn}(t_2-t_0)} V_{fn}(t_2) \\ &\times e^{i\omega_{ni}(t_1-t_0)} V_{ni}(t_1). \end{aligned}

This expression separates three filters:

  1. VniV_{ni} must connect the initial channel to an intermediate channel;
  2. VfnV_{fn} must connect that channel to the final channel;
  3. the two time integrals must add coherently rather than cancel by phase oscillation.

An ordered two-interaction path and its triangular integration domain

At second order, the interaction at t1t_1 acts before the interaction at t2t_2. Inserting completeness turns the operator product into a sum over intermediate states ∣n⟩\lvert n\rangle. The ordered triangle has half the area of the full time square; the time-ordering operator provides an equivalent full-square representation.

The second-order operator can also be written

UI(2)(t,t0)=12(−iℏ)2×∫t0tdt2∫t0tdt1 ×T{VI(t2)VI(t1)}.\begin{aligned} U_I^{(2)}(t,t_0) ={}& \frac12 \left(-\frac{i}{\hbar}\right)^2 \\ &\times \int_{t_0}^{t}dt_2 \int_{t_0}^{t}dt_1\, \\ &\times \mathcal T \left\{ V_I(t_2)V_I(t_1) \right\}. \end{aligned}

For two bosonic operators in ordinary quantum mechanics, define O21=T{VI(t2)VI(t1)}\mathcal O_{21}=\mathcal T\{V_I(t_2)V_I(t_1)\}. Then

O21={VI(t2)VI(t1),t2>t1,VI(t1)VI(t2),t1>t2.\mathcal O_{21} = \begin{cases} V_I(t_2)V_I(t_1),&t_2\gt t_1, \\ V_I(t_1)V_I(t_2),&t_1\gt t_2. \end{cases}

The factor 1/2!1/2! compensates for integrating both labeled orderings over the full square. The convention at t1=t2t_1=t_2 does not affect ordinary integrals unless singular equal-time terms are present.

At order rr, define the ordered integral

Kr(t,t0)=∫t0tdtr∫t0trdtr−1⋯∫t0t2dt1 ×VI(tr)VI(tr−1)⋯VI(t1).\begin{aligned} \mathcal K_r(t,t_0) ={}& \int_{t_0}^{t}dt_r \int_{t_0}^{t_r}dt_{r-1} \cdots \int_{t_0}^{t_2}dt_1\, \\ &\times V_I(t_r)V_I(t_{r-1}) \\ &\cdots V_I(t_1). \end{aligned}

Then

UI(r)(t,t0)=(−iℏ)rKr(t,t0).U_I^{(r)}(t,t_0) = \left(-\frac{i}{\hbar}\right)^r \mathcal K_r(t,t_0).

Equivalently, define the full-cube time-ordered integral

Qr(t,t0)=∫t0tdtr⋯∫t0tdt1 ×T{VI(tr)⋯VI(t1)}.\begin{aligned} \mathcal Q_r(t,t_0) ={}& \int_{t_0}^{t}dt_r\cdots \int_{t_0}^{t}dt_1\, \\ &\times \mathcal T \left\{ V_I(t_r)\cdots V_I(t_1) \right\}. \end{aligned}

The same coefficient is

UI(r)(t,t0)=1r!(−iℏ)rQr(t,t0).U_I^{(r)}(t,t_0) = \frac{1}{r!} \left(-\frac{i}{\hbar}\right)^r \mathcal Q_r(t,t_0).

The nested form is often best for explicit low-order calculations. The compact time-ordered form exposes the exponential structure and is the natural bridge to field theory.

Consider three channels ∣i⟩\lvert i\rangle, ∣n⟩\lvert n\rangle, and ∣f⟩\lvert f\rangle. Let the interaction-picture Hamiltonian contain

VI(t)=g1(t)∣n⟩⟨i∣+g2(t)∣f⟩⟨n∣+h.c.V_I(t) = g_1(t)\lvert n\rangle\langle i\rvert +g_2(t)\lvert f\rangle\langle n\rvert +\text{h.c.}

Assume g1g_1 acts in an early time window and g2g_2 in a later, nonoverlapping window. There is no direct i→fi\to f matrix element, so

Afi(1)=0.\mathcal A_{fi}^{(1)}=0.

At second order, the only relevant ordered path is

∣i⟩→ g1(t1) ∣n⟩→ g2(t2) ∣f⟩.\lvert i\rangle \xrightarrow{\,g_1(t_1)\,} \lvert n\rangle \xrightarrow{\,g_2(t_2)\,} \lvert f\rangle.

Its amplitude is

Afi(2)=(−iℏ)2×∫dt2 g2(t2)∫t2dt1 g1(t1).\begin{aligned} \mathcal A_{fi}^{(2)} ={}& \left(-\frac{i}{\hbar}\right)^2 \\ &\times \int dt_2\,g_2(t_2) \int^{t_2}dt_1\,g_1(t_1). \end{aligned}

Because every g1g_1 time precedes every g2g_2 time, the ordered integral factorizes:

Afi(2)=(−iℏ)2×(∫dt2 g2(t2))×(∫dt1 g1(t1)).\begin{aligned} \mathcal A_{fi}^{(2)} ={}& \left(-\frac{i}{\hbar}\right)^2 \\ &\times \left(\int dt_2\,g_2(t_2)\right) \\ &\times \left(\int dt_1\,g_1(t_1)\right). \end{aligned}

If the pulse order is reversed and the Hamiltonian contains no other path, this particular second-order amplitude vanishes: the operator that requires population in ∣n⟩\lvert n\rangle acts before ∣n⟩\lvert n\rangle has been created. Time ordering is therefore physical causal bookkeeping, not decorative notation.

An intermediate state in the completeness sum need not be populated as an asymptotic or measured outcome. In an off-resonant two-step process, its contribution can remain transient and enter through an energy denominator after the time integrals are evaluated.

For a constant interaction switched on over 0≤t≤T0\le t\le T,

Afi(2)(T)=(−iℏ)2∑nVfnVni×∫0Tdt2 eiωfnt2×∫0t2dt1 eiωnit1.\begin{aligned} \mathcal A_{fi}^{(2)}(T) ={}& \left(-\frac{i}{\hbar}\right)^2 \sum_nV_{fn}V_{ni} \\ &\times \int_0^Tdt_2\,e^{i\omega_{fn}t_2} \\ &\times \int_0^{t_2}dt_1\,e^{i\omega_{ni}t_1}. \end{aligned}

For ωni≠0\omega_{ni}\ne0, the inner integral is

∫0t2dt1 eiωnit1=eiωnit2−1iωni.\int_0^{t_2}dt_1\,e^{i\omega_{ni}t_1} = \frac{e^{i\omega_{ni}t_2}-1}{i\omega_{ni}}.

The factor 1/ωni1/\omega_{ni} is the finite-time ancestor of an intermediate-state energy denominator. Precise infinite-time denominators and their i0i0 prescriptions depend on switching, boundary conditions, and whether one is computing bound-state response or scattering. They should not be inserted by memory before the time protocol is specified.

If an intermediate detuning becomes small, the denominator is a warning rather than an enhancement formula to trust blindly. The near-resonant state may need to be included in a coupled model space and evolved nonperturbatively.

Suppose a symmetry makes

⟨f∣VI(t)∣i⟩=0.\langle f\rvert V_I(t)\lvert i\rangle=0.

Then the first-order amplitude vanishes. A second-order amplitude may still exist if there are intermediate states for which

⟨n∣VI(t1)∣i⟩≠0\langle n\rvert V_I(t_1)\lvert i\rangle\ne0

and

⟨f∣VI(t2)∣n⟩≠0.\langle f\rvert V_I(t_2)\lvert n\rangle\ne0.

For example, if VV is odd under parity, one insertion changes parity. Two insertions have even overall parity, so states of the same parity can be connected at second order through opposite-parity intermediate states.

If f≠if\ne i and Afi(1)=0\mathcal A_{fi}^{(1)}=0, then

Afi=λ2Afi(2)+O(λ3),\mathcal A_{fi} = \lambda^2\mathcal A_{fi}^{(2)} +O(\lambda^3),

and the leading probability is

Pi→f=λ4∣Afi(2)∣2+O(λ5).P_{i\to f} = \lambda^4 \lvert\mathcal A_{fi}^{(2)}\rvert^2 +O(\lambda^5).

Calling such a probability “second order” is ambiguous. It is second order in the amplitude and fourth order in the coupling at the probability level. State which convention is being used.

For a previously empty final channel,

Afi=λAfi(1)+λ2Afi(2)+O(λ3).\mathcal A_{fi} = \lambda\mathcal A_{fi}^{(1)} +\lambda^2\mathcal A_{fi}^{(2)} +O(\lambda^3).

Squaring gives

Pi→f=λ2∣Afi(1)∣2+2λ3Re⁡[Afi(1)∗Afi(2)]+O(λ4).\begin{aligned} P_{i\to f} ={}& \lambda^2 \lvert\mathcal A_{fi}^{(1)}\rvert^2 \\ &+2\lambda^3 \operatorname{Re} \left[ \mathcal A_{fi}^{(1)*} \mathcal A_{fi}^{(2)} \right] +O(\lambda^4). \end{aligned}

The second-order amplitude is needed for the cubic correction to a generic transition probability. To know the probability completely through O(λ4)O(\lambda^4), one also needs the third-order amplitude because it interferes with the first-order term:

Pi→f[4]=λ4∣Afi(2)∣2+2λ4Re⁡[Afi(1)∗Afi(3)].\begin{aligned} P_{i\to f}^{[4]} ={}& \lambda^4 \left\lvert\mathcal A_{fi}^{(2)}\right\rvert^2 \\ &+2\lambda^4 \operatorname{Re} \left[ \mathcal A_{fi}^{(1)*} \mathcal A_{fi}^{(3)} \right]. \end{aligned}

Computing “the probability to second order” therefore requires a declared counting convention.

The exact UIU_I is unitary. Insert

UI=I+λUI(1)+λ2UI(2)+⋯U_I=I+\lambda U_I^{(1)}+\lambda^2U_I^{(2)}+\cdots

into UI†UI=IU_I^\dagger U_I=I. At first order,

UI(1)+UI(1)†=0.U_I^{(1)}+U_I^{(1)\dagger}=0.

At second order,

UI(2)+UI(2)†+UI(1)†UI(1)=0.U_I^{(2)} +U_I^{(2)\dagger} +U_I^{(1)\dagger}U_I^{(1)} = 0.

Taking an initial-state matrix element and inserting completeness gives

2Re⁡Aii(2)+∑f∣Afi(1)∣2=0.2\operatorname{Re}\mathcal A_{ii}^{(2)} + \sum_f \left\lvert\mathcal A_{fi}^{(1)}\right\rvert^2 = 0.

This identity connects the real part of the second-order forward amplitude with the total first-order probability flowing into all channels. It is the finite-dimensional ancestor of optical-theorem logic.

The survival probability becomes

Pi→i=1−λ2∑f≠i∣Afi(1)∣2+O(λ3).\begin{aligned} P_{i\to i} ={}&1 -\lambda^2 \sum_{f\ne i} \left\lvert\mathcal A_{fi}^{(1)}\right\rvert^2 \\ &+O(\lambda^3). \end{aligned}

Thus probability loss from the initial channel appears at the same order as probability gained by the other channels. Keeping only the first-order survival amplitude misses this normalization mechanism.

For a bounded interaction on a finite interval, define

η(t)=∣λ∣ℏ∫t0tdt′ ∥VI(t′)∥.\eta(t) = \frac{\lvert\lambda\rvert}{\hbar} \int_{t_0}^{t}dt'\, \lVert V_I(t')\rVert.

The volume of the ordered rr-simplex gives the bound

∥λrUI(r)∥≤η(t)rr!.\left\lVert \lambda^rU_I^{(r)} \right\rVert \le \frac{\eta(t)^r}{r!}.

Consequently, the operator-norm remainder after order NN obeys a conservative estimate of the form

∥RN+1∥≤eηηN+1(N+1)!.\lVert R_{N+1}\rVert \le e^{\eta} \frac{\eta^{N+1}}{(N+1)!}.

This estimate establishes convergence for bounded integrable interactions, but it ignores oscillatory cancellation and is often much less sharp than channel-specific phase estimates. For unbounded operators, domain and relative-boundedness questions require additional analysis; the formal Dyson series is not automatically an operator-norm theorem.

Even when the series converges for every finite time, a low-order truncation can become inaccurate when η\eta or a resonant channel amplitude is not small. Convergence of the infinite series and usefulness of the first few terms are different questions.

A truncated Dyson polynomial is not exactly unitary, although it satisfies unitarity identities through its retained order when used consistently. If exact finite-order unitarity is operationally important, a Magnus Expansion exponentiates anti-Hermitian generators and may be a better organization. Magnus has its own convergence and commutator costs; it is not universally superior.

The inserted completeness relation suggests a diagrammatic reading:

  • each interaction insertion is a vertex labeled by its time and operator;
  • each segment between vertices carries an intermediate state and its phase;
  • one sums over all allowed intermediate states;
  • one integrates over all ordered vertex times;
  • symmetry can remove entire paths by setting a vertex matrix element to zero.

This is useful bookkeeping, but it is not yet a Feynman diagram expansion. In quantum field theory, fields contain creation and annihilation operators, Wick’s theorem reorganizes time-ordered products into contractions, propagators encode field correlations, and diagram symmetry factors must be tracked.

The exact bridge begins at From Evolution Operators to Time-Ordered Products and QFT Bridge: S-Matrix. The reusable idea is already present here: amplitudes are ordered sums over interaction histories, and probabilities require coherent interference among those histories before squaring.

  1. Fix the interaction picture. State H0H_0, VI(t)V_I(t), t0t_0, and all coupling constants.
  2. Specify initial and final channels. Include their normalization and whether the final set is discrete or continuous.
  3. Choose the amplitude order. Draw or list every allowed chain of matrix elements before integrating.
  4. Insert completeness in an adapted basis. Use energy, symmetry, or channel labels that expose zeros and phases.
  5. Enforce time ordering. Use nested limits or the time-ordering operator, but do not mix conventions or double count.
  6. Evaluate finite-time integrals before taking limits. Switching functions and detunings determine denominators and resonance widths.
  7. Convert amplitude order to probability order explicitly. Include interference with adjacent orders when required.
  8. Check unitarity and depletion. Forward amplitudes and transition sums must satisfy the perturbative normalization identities.
  9. Reorganize near small denominators or secular growth. Enlarge the model space, resum, or choose a better frame.
  10. State what the diagrams mean. In ordinary quantum mechanics they are ordered state paths unless a field-theoretic contraction expansion has actually been introduced.
  • Reversing operator order. In VI(t2)VI(t1)V_I(t_2)V_I(t_1) with t2≥t1t_2\ge t_1, the rightmost VI(t1)V_I(t_1) acts first.
  • Integrating the full square without 1/2!1/2! and time ordering. This double counts labeled orderings.
  • Forgetting the intermediate-state sum. A second-order transition can proceed through every state allowed by both matrix elements, including continuum channels.
  • Treating an intermediate state as necessarily occupied. Off-resonant virtual channels need not appear as measured final outcomes.
  • Inserting energy denominators before specifying switching. Finite-time integrals determine denominators, resonance factors, and boundary prescriptions.
  • Calling a second-order amplitude an O(λ2)O(\lambda^2) probability. If first order vanishes, its squared probability is usually O(λ4)O(\lambda^4).
  • Computing ∣A(2)∣2\lvert\mathcal A^{(2)}\rvert^2 and calling it the complete fourth-order probability. Interference between first- and third-order amplitudes also contributes.
  • Checking normalization with mismatched orders. Survival and transition probabilities must be expanded consistently.
  • Assuming a small denominator guarantees a large accurate answer. It often signals that fixed-order perturbation theory has chosen the wrong model space.
  • Treating a truncated Dyson series as exactly unitary. Unitarity holds order by order only when all terms of the required order are retained.

Prove that the nested second-order integral equals the full-square time-ordered expression with a factor 1/2!1/2!.

Solution

Split the square [t0,t]2[t_0,t]^2 into the two triangles t2≥t1t_2\ge t_1 and t1≥t2t_1\ge t_2. Then

12∫t0tdt2∫t0tdt1 T{VI(t2)VI(t1)}=12∫t2≥t1dt2dt1 VI(t2)VI(t1)+12∫t1≥t2dt2dt1 VI(t1)VI(t2).\begin{aligned} &\frac12 \int_{t_0}^{t}dt_2 \int_{t_0}^{t}dt_1\, \mathcal T\{V_I(t_2)V_I(t_1)\} \\ ={}& \frac12 \int_{t_2\ge t_1}dt_2dt_1\, V_I(t_2)V_I(t_1) \\ &+ \frac12 \int_{t_1\ge t_2}dt_2dt_1\, V_I(t_1)V_I(t_2). \end{aligned}

Relabel t1↔t2t_1\leftrightarrow t_2 in the second triangle. It becomes identical to the first, so the factor 1/21/2 cancels the two equal contributions:

∫t0tdt2∫t0t2dt1 VI(t2)VI(t1).\int_{t_0}^{t}dt_2 \int_{t_0}^{t_2}dt_1\, V_I(t_2)V_I(t_1).

Starting from ⟨f∣VI(t2)VI(t1)∣i⟩\langle f\rvert V_I(t_2)V_I(t_1)\lvert i\rangle, derive the intermediate-state sum and state what changes if part of the spectrum is continuous.

Solution

Insert a complete discrete basis:

I=∑n∣n⟩⟨n∣.I=\sum_n\lvert n\rangle\langle n\rvert.

Then

⟨f∣VI(t2)VI(t1)∣i⟩=∑n⟨f∣VI(t2)∣n⟩×⟨n∣VI(t1)∣i⟩.\begin{aligned} \langle f\rvert V_I(t_2)V_I(t_1)\lvert i\rangle = \sum_n {}&\langle f\rvert V_I(t_2)\lvert n\rangle \\ &\times \langle n\rvert V_I(t_1)\lvert i\rangle. \end{aligned}

For a mixed discrete-continuum spectrum, completeness has the schematic form

I=∑n∈disc∣n⟩⟨n∣+∫dE ∣E⟩⟨E∣,I = \sum_{n\in\mathrm{disc}} \lvert n\rangle\langle n\rvert + \int dE\, \lvert E\rangle\langle E\rvert,

with normalization-dependent measures and channel labels included as needed. The intermediate sum then contains both a sum and an integral.

In the three-channel example, suppose the g2g_2 pulse is entirely earlier than the g1g_1 pulse. Show why the displayed path gives zero second-order amplitude.

Solution

The ordered amplitude contains

∫dt2 g2(t2)∫t2dt1 g1(t1).\int dt_2\,g_2(t_2) \int^{t_2}dt_1\,g_1(t_1).

Whenever g2(t2)g_2(t_2) is nonzero, every time at which g1g_1 is nonzero lies later than t2t_2. The inner domain requires t1≤t2t_1\le t_2, so it contains no support of g1g_1 and vanishes.

This conclusion concerns the specific directed couplings displayed. Hermitian-conjugate terms or additional channels can create other ordered paths and must be examined separately.

An odd-parity perturbation connects an even initial state to an even final state only through odd-parity intermediate states. What are the leading amplitude and probability orders?

Solution

One odd operator changes parity, so

Afi(1)=0\mathcal A_{fi}^{(1)}=0

for even ii and even ff. Two odd insertions have even overall parity and may connect through an odd intermediate state:

Afi=λ2Afi(2)+O(λ3).\mathcal A_{fi} = \lambda^2\mathcal A_{fi}^{(2)} +O(\lambda^3).

The leading probability is therefore

Pi→f=λ4∣Afi(2)∣2+O(λ5),P_{i\to f} = \lambda^4 \left\lvert\mathcal A_{fi}^{(2)}\right\rvert^2 +O(\lambda^5),

unless another symmetry also removes the second-order paths.

Expand UI†UI=IU_I^\dagger U_I=I through second order and derive the relation between the forward amplitude and the sum of first-order transition probabilities.

Solution

Write

UI=I+λU1+λ2U2+O(λ3).U_I=I+\lambda U_1+\lambda^2U_2+O(\lambda^3).

Multiplication gives

UI†UI=I+λ(U1+U1†)+λ2(U2+U2†)+λ2U1†U1+O(λ3).\begin{aligned} U_I^\dagger U_I ={}&I +\lambda(U_1+U_1^\dagger) \\ &+\lambda^2(U_2+U_2^\dagger) \\ &+\lambda^2U_1^\dagger U_1 +O(\lambda^3). \end{aligned}

The second-order coefficient must vanish. Taking its expectation value in ∣i⟩\lvert i\rangle gives

2Re⁡⟨i∣U2∣i⟩+⟨i∣U1†U1∣i⟩=0.2\operatorname{Re}\langle i\rvert U_2\lvert i\rangle + \langle i\rvert U_1^\dagger U_1\lvert i\rangle = 0.

Insert completeness into the last term:

⟨i∣U1†U1∣i⟩=∑f∣⟨f∣U1∣i⟩∣2.\langle i\rvert U_1^\dagger U_1\lvert i\rangle = \sum_f \left\lvert\langle f\rvert U_1\lvert i\rangle\right\rvert^2.

Identifying the amplitude coefficients yields

2Re⁡Aii(2)+∑f∣Afi(1)∣2=0.2\operatorname{Re}\mathcal A_{ii}^{(2)} + \sum_f\left\lvert\mathcal A_{fi}^{(1)}\right\rvert^2 = 0.

Assume ∥VI(t)∥≤Vmax⁡\lVert V_I(t)\rVert\le V_{\max} for an interval of duration TT. Bound the norm of the rrth Dyson contribution including its coupling factor.

Solution

Submultiplicativity gives

∥VI(tr)⋯VI(t1)∥≤Vmax⁡r.\left\lVert V_I(t_r)\cdots V_I(t_1) \right\rVert \le V_{\max}^r.

The ordered integration region has volume

Trr!.\frac{T^r}{r!}.

Therefore

∥λrUI(r)∥≤1r!(∣λ∣Vmax⁡Tℏ)r.\left\lVert \lambda^rU_I^{(r)} \right\rVert \le \frac{1}{r!} \left( \frac{\lvert\lambda\rvert V_{\max}T}{\hbar} \right)^r.

This bound is sufficient but often pessimistic because it discards phase cancellation and detailed matrix-element structure.

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