Fortunato Tito Arecchi

Overview of the scientific activity of Arecchi

Arecchi's research starts with the onset of the laser age (early sixties). Rather than looking for new materials and excitation techniques (spectroscopy) or new cavity configurations (optical engineering) Arecchi focuses on the coherence aspects, measured in terms of photon statistics (research lines #1 and #2). Thus the coherent interaction of matter (atoms, molecules) and electromagnetic radiations which is the basis of the laser action does not need a description in terms of each microscopic component, but it can be epitomized in terms of a small number of collective variables.
This leads to the discovery that the laser threshold is like the critical point of a thermodynamic phase transition, marking the onset of a new type of order; however, the laser threshold occurs far from thermal equilibrium. Furthermore, the laser threshold is just the first of many possible bifurcation phenomena to qualitatively new states.
Two concepts play a crucial role in these phenomena. The first is nonlinear dynamics, which gives rise to different bifurcations as a control parameter is changed; the second one is that of open system, which means that the dynamics is non conservative and influenced by the environment.
As said, dynamics of the single mode laser is epitomized by a very small number of degrees of freedom. If this small number is equal to, or larger than, three, then deterministic chaos arises as shown in the research line # 3.
The standard use of laser systems in the research laboratory and in applications is based on single, or a few, mode operation plus some modulation or feedback, amounting to a small number of coupled variables sufficient to induce chaos. For this reason chaos has been a crucial topics of laser research since 1982.
Increasing the number of modes or introducing a delayed feedback brings a large number of degrees of freedom, thus giving rise to problems of pattern formation and competition, already explored in other areas of physics, as fluid dynamics or chemical reactions. Doing it in optics implies a careful control of the operating conditions, thus it has put in evidence fundamental phenomena such as the role of symmetries and the competition between the bulk dynamics and the driving due to the boundary effects (research line #4).

Whatever has been explored in laser and nonlinear optics has a counterpart in any physical system which is driven away from thermal equilibrium through input/output channels; this includes not only meteorology, geophysics and oceanography, but also living systems and social phenomena.
We can speak of "complex systems", as distinguished from "composite systems", where this latter notion refers to system man made from a blueprint, such as an industrial product, whereas the former notion refers to natural systems whose scientific description is never complete, since we do not know the right amount of environmental perturbations.

At the borderline between neuroscience and physics , a new behavior is under investigation, namely feature binding, that is, how a large collection of coupled neurons combines external signals with internal memories into new coherent patterns of meaning. An external stimulus spreads over an assembly of coupled neurons, building up a corresponding collective state. Thus, the synchronization of spike trains of many individual neurons is the basis of a coherent perception.
Homoclinic chaos has been proposed as the most suitable way to code information in time by trains of equal spikes occurring at apparently erratic times; a new quantitative indicator, called the propensity to synchronization, is introduced to select the most appropriate neuron model which explains feature binding (research line #5).

An active research line, closely related to the emergence of collective phenomena in a system exposed to an environment, has been the inquiry whether the language of physics is complete, that is, whether physics carries sufficient information to fully describe observed events. This has led to a strong separation between syntax and semantics, or between epistemic and semantic complexity. Epistemic complexity measures the amount of resources necessary to describe a closed system, whereas semantic complexity accounts for the influence of events not included in the system’s description and anyway not fully accessible to the investigator.
Natural science, as based on measuring quantities and elaborating theoretical explanations for the measurements, does not provide answers to the quest for meaning; going beyond this limit implies re-introducing philosophical categories excluded from the scientific program .
This matter has been investigated in Research line B. A feedback from B to A consists in the recent investigation on cognitive processes, which hints at the fact that the operations of the human mind are structurally different from those of a Turing machine .

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