Newsgroups: comp.theory.dynamic-sys Path: utzoo!utgpu!cunews!rdb From: rdb@scs.carleton.ca (Robert D. Black) Subject: Re: Can Chaos Be Predictable? Message-ID: <1991Jun21.003436.28578@cunews.carleton.ca> Keywords: chaos, predictability Sender: news@cunews.carleton.ca Organization: School of Computer Science, Carleton University, Ottawa, Canada References: <1991Jun20.194552.15875@cunews.carleton.ca> <1991Jun20.203628.14343@alchemy.chem.utoronto.ca> Distribution: comp.theory.dynamic-sys Date: Fri, 21 Jun 1991 00:34:36 GMT In article <1991Jun20.203628.14343@alchemy.chem.utoronto.ca> mroussel@alchemy.chem.utoronto.ca (Marc Roussel) writes: > >If you stuck some initial condition u(0) into your analytic solution and >found (say) u(10000) in single precision and then in double precision, >I'll wager that the two answers would be substantially different. True, but differences in single vs double precision would be true of most any calculation (square root for example). Chaos enters into an *iterative* process through the rapid growth of errors in the initial condition, or from errors resulting from finite precision arithmetic. Because there is a general solution to the difference equation, we can simply compute U(10000) without computing the first N-1 values (and suffering accumulated round-off error). The value of U(10000) is a close approximation to the theoretical value at time 10000. The value of U(10001) is independent and would not be affected by any error in U(10000). > ... Small differences in u(0) (or differences in the precision >of the arithmetic used) will be greatly amplified by the 2**(t-1) term. Agreed, if your initial condition is not exact, then you quickly lose accuracy as you go to larger times. However, if we assume the initial condition is exact (0.75 say), then we can plug this exact value into the general formula, and get a close approximation to the theoretical value at that time (even for large t). -- -- Robert Black rdb@scs.carleton.ca School of Computer Science Carleton University, Ottawa, Canada