* Well take a closer look at this formula in a moment.
*This was the main plot idea behind the 2002 blockbuster movie Minority Report , starring Tom Cruise. But that, of course, is fiction.
* An Application of Bayesian Networks to Antiterrorism Risk Management for Military Planners , by Linwood D. Hudson, Bryan S. Ware, Suzanne M. Mahoney, and Kathryn Blackmond Laskey.
*The comparison is not made directly between the sequences of the four base letters, but on numerical counts of them. The DNA profile is actually a sequence of those counts. The distinction is not important for our account.
*Profile match probabilities are based on empirical studies of allele frequencies of large numbers of samples. The figure 1/10 used here is widely regarded as being a good representative figure.
*As will be explained later, care is required in interpreting this requirement in terms of exactly what numerical probability is to be computed.
* United States v. Sullivan , 246 F. Supp. 2d 700, 704 (E.D. Ky. 2003).
*The FBI did consider using JPEG, but the special nature of fingerprint imagesessentially narrowly separated, black, parallel, curved lines on a white backgroundmeant that it was much more efficient to use a specially tailored system. For many images, such as a fairly uniform background, JPEG-2000 can achieve a compression rate of 200.
*It turns out that the actual numbersone year, two years, five yearsare not important, just the comparisons between them, but well stick with the figures we have.
*In Statistical Methods in Counterterrorism , Alyson G. Wilson, Gregory D. Wilson, David H. Olwell, editors (New York: Springer, 2006).
*Nevada is an exception. The lucrative gambling business in this otherwise fairly poor state enabled the casinos to exert pressure on the legislature to make card counting illegal.
*Actually, this is not entirely accurate. Because of inertial properties of a physical coin, there is a slight tendency for it to resist turning, with the result that, if a perfectly balanced coin is given a random initial flip, the probability that it will land the same way up as it started is about 0.51. But we will ignore this caveat in what follows.
*Some casinos use a so-called soft 17 rule that requires the dealer to hit when his or her total of 17 includes an ace counted as 11.
*Edward O. Thorp, Beat the Dealer: A Winning Strategy for the Game of Twenty-One , Random House, New York, 1962.
*E. H. Simpson. The Interpretation of Interaction in Contingency Tables, Journal of the Royal Statistical Society , Ser. B, 13 (1951) 238241.
*Sadly, despite many efforts to eliminate the problem, racial bias by police seems to be a persistent issue throughout the country. To cite just one recent report, An Analysis of Traffic Stop Data in Riverside, California , by Larry K. Gaines of the California State University in San Bernardino, published in Police Quarterly , 9, 2, June 2006, pp. 210233: The findings from racial profiling or traffic stop studies have been fairly consistent: Minorities, especially African Americans, are stopped, ticketed, and searched at a higher rate as compared to Whites. For example, Lamberth (cited in State v. Pedro Soto , 1996) found that the Maryland State Police stopped and searched African Americans at a higher rate as compared to their rate of speeding violations. Harris (1999) examined court records in Akron, Dayton, Toledo, and Columbus, Ohio, and found that African Americans were cited at a rate that surpassed their representation in the driving population. Cordner, Williams, and Zuniga (2000) and Cordner, Williams, and Velasco (2002) found similar trends in San Diego, California. Zingraff and his colleagues (2000) examined stops by the North Carolina Highway Patrol and found that African Americans were overrepresented in stops and searches.
*The idea is based on several real-life projects to use the equations that describe fluid flows in order to analyze various kinds of crowd activity, including freeway traffic flow, spectators entering and leaving a large sports stadium, and emergency exits from burning buildings.
*Ref. R. Adderley and P. B. Musgrove, General Review of Police Crime Recording and Investigation Systems, Policing: An International Journal of Police Strategies and Management , 24 (1), 2001, pp.110114.
*Its actually more accurate to say can be regarded as rather than consists of, since the entire neural network is simulated on a normal digital computer.
*After the riots, federal charges of civil rights violations were brought against the four officers. Sergeant Stacey Koon and Officer Laurence Powell were found guilty; the other two were acquitted.
*For those who know the lingo, the key idea is to use Euler-Lagrange PDE minimization, a calculus technique developed long before computers came onto the scene, on the total variation functional.
Acknowledgments
The authors want to thank NUMB3RS creators Cheryl Heuton and Nick Falacci for creating Charlie Eppes, televisions first mathematics superhero, and succeeding brilliantly in putting math on television in prime time. Their efforts have been joined by a stellar team of other writers, actors, producers, directors, and specialists whose work has inspired us to write this book. The gifted actor David Krumholtz has earned the undying love of mathematicians everywhere for bringing Charlie to life in a way that has led millions of people to see mathematics in a completely new light. Thanks also to NUMB3RS researchers Andy Black and Matt Kolokoff for being wonderful to work with in coming up with endless applications of mathematics to make the writers dreams come true.
We wish to express our particular thanks to mathematician Dr. Lenny Rudin of Cognitech, one of the worlds foremost experts on image enhancement, for considerable help with Chapter 5 and for providing the images we show in that chapter.
Finally, Ted Weinstein, our agent, found us an excellent publisher in David Cashion of Plume, and both worked tirelessly to turn a manuscript that we felt was as reader-friendly as possible, given that this is a math book, into one that, we have to acknowledge, is now a lot more so!
Keith Devlin, Palo Alto, CA
Gary Lorden, Pasadena, CA
APPENDIX
Mathematical Synopses of the Episodes in the First Three Seasons of NUMB3RS
IS THE MATH IN NUMB3RS REAL?
Both of us are asked this question a lot. The simplest answer is yes. The producers and writers go to considerable lengths to make sure that any math on the show is correct, running script ideas by one or more professional mathematicians from the hundreds across the country that are listed in their address book.
A more difficult question to answer is whether the mathematics shown really could be used to solve a crime in the way depicted. In some cases the answer is a definite yes. Some episodes are based on real cases where mathematics actually was used to solve crimes. A couple of episodes followed the course of real cases fairly closely; in others the writers exercised dramatic license with the real events in order to produce a watchable show. But even when an episode is not based on a real case, the use of mathematics depicted is generally, though not always, believable it could happen. (And experience in the real world has shown that occasionally even unbelievable applications of mathematics do actually occur!) The skepticism critics express after viewing an episode is sometimes based on their lack of awareness of the power of mathematics and the extent to which it can be applied.
In many ways, the most accurate way to think of the series is to compare it to good science fiction: In many cases, the depiction in NUMB3RS of a particular use of mathematics to solve a crime is something that could, and maybe even may, happen someday in the future.
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