Abstract
Relations of the memory function (GME) theory of exciton transport to other theories and entities in statistical mechanics and condensed matter, as well as solutions of the GME theory for a specific system of special interest to experiments, the linear chain, were the content of this chapter. Our theory is built as a generalization of the theories of Förster as well as Dexter but looks quite different from those developed by Haken and Reineker, and by Grover and Silbey. It was shown that the approaches can be unified by establishing relations among them by inspecting them all in terms of memory functions. Their conceptual differences from the GME theory were also analyzed. It was argued that each method has its own particular purpose and use, separate from the others. The connection between memory functions in probability equations and correlation functions encountered more usually in statistical mechanics within the framework of linear response was analyzed. The two examples selected for this comparison were velocity correlation functions used in mobility or conductivity theory, (Kubo 1957), and scattering functions used in neutron diffraction (Van Hove 1954b). Respectively, they find application in charge mobility physics and in the study of the movement of hydrogen atoms and other interstitials in metals. The next content of the chapter was explicit solutions of the GME extended to have the simple Wigner-Weisskopf incorporation of incoherence in them. These solutions will be useful in subsequent chapters where the effect of coherence is studied on transient grating, Ronchi ruling, and sensitized luminescence observations. Solutions for the full SLE case (with hopping terms added) were also provided. Finally in this chapter, partially nonlocal memories and transfer rates were shown to arise from strong intersite coupling. This chapter thus connects memory functions, primary to the book, to more familiar entities in statistical mechanics and condensed matter physics.
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Notes
- 1.
Two experimentalists in this field who were my contemporaries and engaged in intense debates on exciton coherence made path-breaking innovations in experimental science: Mike Fayer at Stanford and (the late) Ahmed Zewail at Caltech. The latter won the 1999 Nobel prize in Chemistry.
- 2.
Along with a somewhat cumbersome terminology involving the GSHRS equation distinguished from the GSHRS formalism. However, in a sense, the reason for constructing the SLE in its two-part form, thus its focus, are then certainly lost.
- 3.
The latter authors have also commented on the important question of whether the donor and the acceptor are coupled to the same or different baths, and the issue of inhomogenous broadening of spectra.
- 4.
Lest too much be read into this, note that what the GME method was compared to in that particular investigation, was not the MIT procedure discussed here. Instead, it was a semiclassical approximation that was shown to be relatively crude. All that demonstration does in the present context is to strengthen our faith in the accuracy of the GME method. It is to be emphasized that the latter method does not undertake the second diagonalization made in the MIT procedure.
- 5.
The GME as a tool is made for problems that require the computation of probabilities, or observables that depend only on probabilities. If off-diagonal elements of the density matrix are required, one must step back and use the SLE. It is tempting to fall into the erroneous trap of regarding everything one meets with as a nail if one happens to have acquired a hammer. I know of investigators for whom memories and projections are a panacea. Fortunately, physics is richer than that and demands that we remain flexible and move from tool to tool to perform our tasks.
- 6.
Surely this reminds the reader of the well-known fairy tale in which a man went to sleep on a mountain slope for many years while the rest of the world moved on in time. Accordingly, I called the walker’s behavior Rip Van Winkle in Kenkre (1977a) after the name of the man in the fairytale.
- 7.
Related results in the area of transient nucleation and dynamics with internal states were published about the same time or a little later, independently, by Shugard and Reiss (1976), and by Landman et al. (1977), respectively. How they emerge from the expressions in Kenkre and Knox (1974a) has been shown in footnote 36 of Kenkre (1977a).
- 8.
- 9.
Lest the phrase “narrow-band” cause confusion, note that by the expression we mean here that the bandwidth is much smaller than the thermal energy k B T. The usage “narrow-band” here has nothing to do with the coherence issue which happens to be associated with the ratio of the bandwidth to a scattering rate α.
- 10.
A notational alert! So far in the book, k has represented the dimensionless quantity reciprocal to the site index m. In Eq. (4.20) it is, however, dimensioned and reciprocal to the (dimensioned) position x. Given that in most contexts x = ma where a is the lattice constant on a chain, k in Eq. (4.20) is obtained by dividing the dimensionless k by a. Having given careful (and agonizing) consideration to defining two different symbols for the two different k’s, I have decided to avoid the consequent clutter. I rely on the reader’s alertness, and indulgence, to determine by inspection (it is quite easy) which use is meant in a given context.
- 11.
Chapter 7 will force an exception on us in that we will have to use M, N as site indices again and use m, n to represent internal states of vibration.
- 12.
Of course we have put ħ = 1 as we have already been doing. Simplicity rather than wisdom is the motto in this regard. I realize this will endear me to some readers and make me a subject of scorn for other readers. Surely, that is what happens in real life as well.
- 13.
For instance, one of those earlier expressions actually used for numerical computations was
$$\displaystyle \begin{aligned} P_m(t)=\frac{\alpha}{2\pi}\int_{-\bar{\kappa}}^{\bar{\kappa}} dk\,e^{ikm}\frac{\exp{\left[t\left(-\alpha+\sqrt{\alpha^2-16V^2\sin^2(k/2)}\right)\right]}}{\sqrt{\alpha^2-16V^2\sin^2(k/2)}} \\ +\frac{1}{8\pi ^2}\int_{-\pi}^{\pi}\int_{0}^{\pi} dl\, e^{ikm}\left[8V\sin l \sin{}(k/2)\right]^2 \left[ \frac{e^{t\left(-\alpha +i4V\sin{}(k/2)\cos l\right)}}{16V^2\sin^2(k/2)\sin^2 l -\alpha^2}\right] \end{aligned} $$where the first term is present conditionally and determines the value of \(\bar {\kappa }\). Given that this expression contains two integrations and its connection with the extreme limits is by no means transparent, it is clear that our result Eq. (4.35), from Kenkre and Phatak (1984), is much preferable to use.
- 14.
Surprisingly, I have not come across elsewhere this interesting expression for transfer rates on a chain for strong coupling interactions, a very common entity, for the last four decades since it was derived. In a modest manner, the expression hints at what happens when one does not operate under the famous λ 2 t limit of van Hove and yet makes the Markoffian approximation to pass from the GME to the Master equation.
- 15.
Some of the details of the solution for the exercise may be found in Kenkre (1978d) where the time-dependence of the opposite corner site is also shown graphically. Attempt to draw conclusions about the system beyond those set out in that publication.
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Kenkre, V.M.(. (2021). Relations of Memories to Other Entities and GME Solutions for the Linear Chain. In: Memory Functions, Projection Operators, and the Defect Technique. Lecture Notes in Physics, vol 982. Springer, Cham. https://doi.org/10.1007/978-3-030-68667-3_4
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