- Viswanath's constant
A random Fibonacci sequence is a variant of the
Fibonacci sequence , defined by the recurrence relation "f""n" = ±"f""n"−1 ± "f""n"−2 with the signs chosen randomly. Viswanath's constant is amathematical constant measuring how fast random Fibonacci sequences grow. The value of Viswanath's constant is approximately 1.13198824.Definitions
A "random Fibonacci sequence" is a sequence of numbers "f""n" with the following recursive definition: "f"1 = 1, "f"2 = 1, and:In other words, given the previous two elements of the sequence, there are four possible formulas for the next element, corresponding to the four choices for the two signs. The decision which formula to use is taken at random with a probability of 0.25 favouring each possibility.
The name is derived from relation to
Fibonacci numbers : If the two terms in the right hand side of the equation above are taken with positive sign,:
then the sequence {"fn"} is of Fibonacci numbers.
"Viswanth's constant" is defined as the exponential rate at which the average
absolute value of a random Fibonacci sequence increases. In a random Fibonacci sequence {"fn"}, with a probability of 1 (i.e. with extremely rare exceptions,almost surely ) the "n"th root of the absolute value of the "n"th term in the sequence converges to the value of the constant, for large values of "n". In symbols,:Explication
The constant was computed by
Divakar Viswanath in 1999 (see references). His work uses the theory of random matrix product developed by Furstenberg and Kesten, theStern-Brocot tree , and a computer calculation usingfloating point arithmetics validated by an analysis of therounding error .Johannes Kepler had shown that for normal Fibonacci sequences (where the randomness of the sign does not occur), the ratio of the successive numbers converged to thegolden mean , which is approximately 1.618. Thus, for any large "n", the golden mean may be approximated with astonishing accuracy by dividing by the previous number in the sequence.The random Fibonacci sequence, defined above, is the same as the normal Fibonacci sequence if always the plus sign is chosen. On the other hand, if the signs are chosen as minus-plus-plus-minus-plus-plus-..., then we get the sequence 1,1,0,1,1,0,1,1,... However, such patterns occur with probability almost zero in a random experiment. Surprisingly, the "n"th root of |"f""n"| converges to fixed value with probability almost one.
ignificance
In 1960,
Hillel Furstenberg andHarry Kesten had shown that for a general class of random matrix products, the absolute value of the norm of product of "n" factors converges to a power of a fixed constant. This is a broad class of random sequence-generating processes, which includes the random Fibonacci sequence. This proof was significant in advances inlaser technology and the study ofglass es. TheNobel Prize for Physics in 1977 went toPhilip Warren Anderson ofBell Laboratories , SirNevill Francis Mott of Cambridge University inEngland , andJohn Hasbrouck van Vleck ofHarvard "for their fundamental theoretical investigations of the electronic structure of magnetic and disordered systems".Viswanath's proof, by specifying the value of the constant number in this case, has helped make this area more accessible for direct study. Viswanath's constant may explain the case of rabbits randomly allowed to prey on each other. (See
Fibonacci sequence for the original statement of the rabbit problem.) This step would allow closer simulation of real world scenarios in various applications.ee also
The
Embree-Trefethen constant describes the behaviour of the random sequence "f""n" = "f""n"−1 ± β"f""n"−2 for different values of β.References
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* J. B. Oliveira; L. H. de Figueiredo (2002), Interval computation of Viswanath's constant. "Reliable Computing" 8 (2), 131–138.
* Eran Makover; Jeffrey McGowan (2006), An elementary proof that random Fibonacci sequences grow exponentially. "Journal of Number Theory" 121 (1), 40–44; arxiv|math.NT|0510159.External links
* [http://sciencenews.org/sn_arc99/6_12_99/bob1.htm A brief explanation]
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