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Math in the Media |
IT and the Riemann Hypothesis. "What is the Riemann Hypothesis and why Should I Care?" is the
provocative title of a piece by Robin Bloor posted at
IT-Director.com on October 5, 2004. The site "provides IT decision makers with a one stop source of all current IT news, information, analysis and
advice." (IT = Information Technology).
Naturally, there is no attempt at a correct statement of the Riemann
Hypothesis ("Without bothering to state the details,
it is a proposed formula that
calculates the number of primes less than a given number") but the reason
why IT decision makers might be concerned is the "worrying predictions that if the Riemann Hypothesis is confirmed mathematically, then most of the encryption schemes we use in commerce and government will suddenly be vulnerable ..."
together with news of its possible confirmation by Louis de Branges and
perhaps by others. The risk for IT is "if the mathematics surrounding the
solution reveals quicker ways to factorize numbers. Actually even then it
will only matter if it reveals much quicker ways to factorize numbers."
Because public-key cryptography "is based on the product of prime numbers. The fundamental idea is that it is very difficult to find factors for a number that is created by multiplying two prime numbers together. It's easy to
multiply the numbers together but very difficult to find out what they
were if you're only given the result." But not to worry:
"Strange as it may seem (if you never studied Mathematics) there are mathematical relations that can be used to create encryption that can be proved to be unbreakable. The real problem is that we founded the early encryption on a technique that
wasn't provably unbreakable." Bloor's piece is available
online.
Gödel's Theorem on ABC News. John Allen Paulos, in his
"Who's Counting" column on the ABC News website, posted "Complexity,
Randomness and Impossible Tasks" on November 7, 2004. Paulos starts with
algorithmic complexity. He invites us to compare the two sequences
(A) 0010010010010010010010010010010010010010010 ... (B) 1000101101101100010101100101111010010111010 ...and asks: "Why is it that the first sequence of 0's and 1's ... is termed orderly or patterned and the second sequence random or patternless?" As a quantitative answer, he proposes Greg Chaitin's definition: The (algorithmic) complexity of a sequence of 0's and 1's is the length of the shortest computer program that will generate the sequence. The program for (A) could be "print 0,0,1, repeat." But for (B) it is quite possible that the only way to generate the sequence is to spell it out: "print 1,0,0,0,1,0,1,1,..." Paulos continues: "We define a sequence to be random if and only if its complexity is (roughly) equal to its length; that is, if the shortest program capable of generating it has (roughly) the same length as the sequence itself." If the only way to generate (B) is to spell it out, (B) is a random sequence. Next Poulos introduces us to the "Berry sentence," which he attributes to Betrrand Russel, 1908. Find the smallest whole number that requires, in order to be specified, more words than there are in this sentence. "The paradoxical nature of the task becomes clear when we realize that the Berry sentence specifies a particular whole number that, by its very definition, the sentence contains too few words to specify." Now the big step: "What yields a paradox about numbers can be modified to yield mathematical statements about sequences that can be neither proved nor disproved." A formal mathematical system can be encoded as a computer program P. As P runs, it generates all the possible theorems which can be proved in that system. "Now we ask whether the system is complete. Is it always the case that for a statement S, the system either proves S or it proves its negation, ~S?" Poulos explains Chaitin's argument, which involves imagining the the following Berry-like task for the program: Generate a sequence of bits that can be proved to be of complexity greater than the number of bits in this program. "The program P cannot generate such a sequence, since any sequence that it generates must, by definition of complexity, be of complexity less than P itself." It follows that "statements of complexity greater than P's can be neither proved nor disproved by P." This is Chaitin's new, quantitative twist on Gödel's Theorem. Since any formal mathematical system has a certain finite complexity, it must allow statements which can be neither proved nor disproved, "a limitation affecting human minds as well as computers."
Making wavelets in the art world. "Computers confront the art
experts" is a piece by Philip Ball posted on November 22, 2004 at
Nature's online site news@nature.com. Ball's subheadline reads:
"Automated method seems to spot forgeries as well as a connoisseur does."
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-Tony Phillips
Stony Brook
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Copyright 2003, American Mathematical Society |