Spring 2005 CONTENTS: In this issue: |
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IMA OutcomesA mathematical result may affect—for now—only an elite cadre of theorists, or may subtly alter the day-to-day existence of millions, many of whom profess a profound antipathy towards mathematics. A new concept, construction, or theorem can reshape careers, or even save lives. Getting emergency calls through.
Damn... no dial tone?! In 2001
customers in high growth local service areas were finding their
telephone lines dead due to circuit congestion of unknown origin.
Annoying, certainly, but it can be much worse than that. AT&T
engineers estimated that emergency calls in life-threatening situations
could be affected as many as 90 times per day (imagine picking up the
receiver to report a heart attack to 911 and hearing nothing).
AT&T
Research Labs scientist V. Ramaswami led a group to study this problem
using stochastic modeling tools based on a class of probability
distributions known as phase type. Using sophisticated methods of
modeling and analysis, their research pinpointed the causes of the
congestion, particularly the role of very long calls associated with
internet dial-ups, and developed remedies that could be applied in both
the short and long term.
The modeling not only saved lives, but also identified opportunities for major cost savings, estimated at $15M per year, to AT&T and has resulted in several innovations forming the subject of five U.S. patent filings of which two have been granted. The paper “Assuring Emergency Services Access: Providing Dial Tone in the Presence of Long Holding Time Internet Dial-Up Calls”, was an INFORMS Wagner prize Finalist and will appear in the journal Interfaces in 2005. In this case, as in many important applications of probabilistic models, innovative algorithmic approaches were essential for obtaining a detailed analysis. For example, the collaborative research of Guy Latouche and Ramaswami, part of which was accomplished at the IMA, provided some of the key methodologies for this work. Ramaswami returned to the IMA in 2004 to join one of his coauthors on the dial tone analysis, statistician Soohan Ahn, a long term visitor at the IMA. Together they developed a new class of probability distributions extending the phase type distributions, whose properties make them very valuable for stochastic modeling of telecommunication systems; for this new class, they forsee a similarly far reaching impact. Their paper “Bilateral Phase Type Distributions” will appear in Stochastic Models in 2005. In addition to this, the researchers also made significant progress in extending the algorithmic work on discrete state space processes described above to efficient algorithms for fluid flow models that are widely used in high speed communication network performance, insurance risk theory, the theory of queues and dams, etc. Their paper on this, to appear in the Journal of Applied Probability in 2005, will provide a powerful generic tool for stochastic fluid flow models. Ramaswami credits their success in part to the IMA's “quiet but highly charged atmosphere” which enables “serious work that requires collaboration and uninterrupted concentration.” Conquering the critical case. In quantum mechanics a particle's position is described by a probability distribution, called a wave function, rather than by precise coordinates. In the 1920s, Bose and Einstein predicted a new state of matter in which many particles at very low temperatures share a similar wave function, a prediction which was verified experimentally in the 1990s. The simplest mathematical model of such a Bose–Einstein condensate uses the nonlinear Schrödinger equation, in which a nonlinear interaction energy between the many particles in the condensate is added to the kinetic energy term of the classical Schrödinger equation. The nonlinearity poses a great challenge to both physicists and mathematicians, leading to interesting and often unpredictable behavior. For example, strong attractive interaction may lead to collapse, infinite density, and model breakdown. The very challenging question of whether solutions remain as smooth as they started—and whether they approach simpler, linear waves at large times—has attracted the attention of many top mathematicians since the early 1970s.
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