| advertise add site services publishers database health videos | ![]() | about toolbar stats live show health store more stuff JOIN/LOGIN |
The adiabatic theorem is an important concept in quantum mechanics. Its original form, due to Max Born and Vladimir Fock (1928),[1] can be stated as follows:
It may not be immediately clear from this formulation but the adiabatic theorem is, in fact, an extremely intuitive concept. Simply stated, a quantum mechanical system subjected to gradually changing external conditions can adapt its functional form, while in the case of rapidly varying conditions, there is no time for the functional form of the state to adapt, so the probability density remains unchanged. The consequences of this apparently simple result are many, varied and extremely subtle. In order to make this clear we will begin with a fairly qualitative description, followed by a series of example systems, before undertaking a more rigorous analysis. Finally we will look at techniques used for adiabaticity calculations.
[edit] Diabatic vs. adiabatic processesDiabatic process: Rapidly changing conditions prevent the system from adapting its configuration during the process, hence the probability density remains unchanged. Typically there is no eigenstate of the final Hamiltonian with the same functional form as the initial state. The system ends in a linear combination of states that sum to reproduce the initial probability density. Adiabatic process: Gradually changing conditions allow the system to adapt its configuration, hence the probability density is modified by the process. If the system starts in an eigenstate of the initial Hamiltonian, it will end in the corresponding eigenstate of the final Hamiltonian.[2] At some initial time For a truly adiabatic process we require
The degree to which a given change approximates an adiabatic process depends on both the energy separation between Conversely, in the limit
The so called "gap condition" included in Born and Fock's original definition given above refers to a requirement that the spectrum of Note that the term adiabatic is traditionally used in thermodynamics to describe processes without the exchange of heat between system and environment (see adiabatic process). The quantum mechanical definition is closer to the thermodynamical concept of a quasistatic process, and has no direct relation with heat exchange. Actually the true analogy comes when the entropy in thermodynamic systems and the quantum number in quantum mechanical systems are considered as both remain unchanged in adiabatic processes. [edit] Example systems[edit] Simple pendulumAs an example, consider a pendulum oscillating in a vertical plane. If the support is moved, the mode of oscillation of the pendulum will change. If the support is moved sufficiently slowly, the motion of the pendulum relative to the support will remain unchanged. A gradual change in external conditions allows the system to adapt, such that it retains its initial character. This is referred to as an adiabatic process.[4] [edit] Quantum harmonic oscillatorMain article: Quantum harmonic oscillator The classical nature of a pendulum precludes a full description of the effects of the adiabatic theorem. As a further example consider a quantum harmonic oscillator as the spring constant If For a rapidly increased spring constant, the system undergoes a diabatic process [edit] Avoided curve crossingMain article: Avoided crossing Figure 2. An avoided energy level crossing in a two level system subjected to an external magnetic field. Note the energies of the diabatic states, and and the eigenvalues of the Hamiltonian, giving the energies of the eigenstates and (the adiabatic states).For a more widely applicable example, consider a 2-level atom subjected to an external magnetic field.[5] The states, labelled With the field absent, the energetic separation of the diabatic states is equal to where The eigenvectors of the matrix It is important to realise that the eigenvalues Figure 2 shows the dependence of the diabatic and adiabatic energies on the value of the magnetic field; note that for non-zero coupling the eigenvalues of the Hamiltonian cannot be degenerate, and thus we have an avoided crossing. If an atom is initially in state These results are extremely important in atomic and molecular physics for control of the energy state distribution in a population of atoms or molecules. [edit] Deriving conditions for diabatic vs adiabatic passage
We will now pursue a more rigorous analysis.[6] Making use of bra-ket notation, the state vector of the system at time
where the spatial wavefunction alluded to earlier, is the projection of the state vector onto the eigenstates of the position operator
It is instructive to examine the limiting cases, in which Consider a system Hamiltonian undergoing continuous change from an initial value
which is equivalent to the Schrödinger equation.
along with the initial condition The problem of determining the adiabaticity of a given process is equivalent to establishing the dependence of To determine the validity of the adiabatic approximation for a given process, one can calculate the probability of finding the system in a state other than that in which it started. Using bra-ket notation and using the definition
We can expand
In the perturbative limit we can take just the first two terms and substitute them into our equation for is the system Hamiltonian, averaged over the interval
After expanding the products and making the appropriate cancellations, we are left with:
giving
where The sudden approximation is valid when
which is, in fact, a statement of the time-energy form of the Heisenberg uncertainty principle. [edit] Diabatic passageIn the limit
The functional form of the system remains unchanged:
This is sometimes referred to as the sudden approximation. The validity of the approximation for a given process can be determined from the probability that the state of the system remains unchanged:
[edit] Adiabatic passageIn the limit
If the system is initially in an eigenstate of This is referred to as the adiabatic approximation. The validity of the approximation for a given process can be determined from the probability that the final state of the system is different from the initial state:
[edit] Calculating diabatic passage probabilities[edit] The Landau-Zener formulaMain article: Landau-Zener transition In 1932 an analytic solution to the problem of calculating diabatic transition probabilities was published separately by Lev Landau and Clarence Zener[7], for the special case of a linearly changing perturbation in which the time-varying component does not couple the relevant states (hence the coupling in the diabatic Hamiltonian matrix is independent of time). The key figure of merit in this approach is the Landau-Zener velocity:
where Using the Landau-Zener formula the probability, [edit] The numerical approachMain article: Numerical solution of ordinary differential equations For a transition involving a nonlinear change in perturbation variable or time-dependent coupling between the diabatic states, the equations of motion for the system dynamics cannot be solved analytically. The diabatic transition probability can still be obtained using one of the wide variety of numerical solution algorithms for ordinary differential equations. The equations to be solved can be obtained from the time-dependent Schrödinger equation:
where Comparison of the initial conditions used with the values of the state amplitudes following the transition can yield the diabatic transition probability. In particular, for a two-state system: for a system that began with [edit] See also
[edit] References
|
| ↑ top of page ↑ | about thumbshots |