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Mancosu - Philosophy of Mathematical Practice (Oxford, 2008).pdf

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computers in mathematical inquiry 303numerical, symbolic, and statistical methods that make it possible to use thecomputer effectively in scientific domains. We will be concerned, rather, withapplications <strong>of</strong> computers to mathematics, that is, the sense in which computerscan help us acquire mathematical knowledge and understanding.Two recent books, Mathematics by Experiment: Plausible Reasoning in the21st Century (Borwein and Bailey, 2004) andExperimentation in Mathematics:Computational Paths to Discovery (Borwein et al., 2004) provide a fine overview<strong>of</strong> the ways that computers have been used in this regard (see also theassociated ‘Experimental Mathematics Website’, which provides additionallinks and resources). Mounting awareness <strong>of</strong> the importance <strong>of</strong> such methodsled to the launch <strong>of</strong> a new journal, Experimental Mathematics, in1992. Theintroduction to the first book nicely characterizes the new mode <strong>of</strong> inquiry:The new approach to mathematics—the utilization <strong>of</strong> advanced computingtechnology in mathematical research—is <strong>of</strong>ten called experimental mathematics.The computer provides the mathematician with a ‘laboratory’ in which he orshe can perform experiments: analyzing examples, testing out new ideas, orsearching for patterns ... To be precise, by experimental mathematics, we meanthe methodology <strong>of</strong> doing mathematics that includes the use <strong>of</strong> computations for:1. Gaining insight and intuition.2. Discovering new patterns and relationships.3. Using graphical displays to suggest underlying mathematical principles.4. Testing and especially falsifying conjectures.5. Exploring a possible result to see if it is worth a formal pro<strong>of</strong>.6. Suggesting approaches for formal pro<strong>of</strong>.7. Replacing lengthy hand derivations with computer-based derivations.8. Confirming analytically derived results.In philosophical discourse it is common to distinguish between discovery andjustification; that is, to distinguish the process <strong>of</strong> formulating definitions andconjectures from the process <strong>of</strong> justifying mathematical claims as true. Bothtypes <strong>of</strong> activities are involved in the list above.On the discovery side, brute calculation can be used to suggest or testgeneral claims. Around the turn <strong>of</strong> the 19th century, Gauss conjecturedthe prime number theorem after calculating the density <strong>of</strong> primes amongthe first tens <strong>of</strong> thousands <strong>of</strong> natural numbers; such number-theoretic andcombinatorial calculations can now be performed quickly and easily. Onecan evaluate a real-valued formula to a given precision, and then use an‘Inverse Symbolic Calculator’ to check the result against extensive databasesto find a simplified expression. Similarly, one can use Neil Sloan’s ‘On-LineEncyclopedia <strong>of</strong> Integer Sequences’ to identify a sequence <strong>of</strong> integers arisingfrom a particular calculation. These, and more refined methods along these

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