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Redefining Reality - The Intellectual Implications of Modern Science

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ignoring certain elements, we can come up with approximations.<br />

<strong>The</strong>se approximations are extremely useful, but there is much<br />

that is interesting in the gap between the approximate and the real<br />

<br />

<br />

Such cases as three-body systems are complex, where complexity<br />

is a technical term denoting an important aspect <strong>of</strong> the equations<br />

taken to govern the system. Such equations stand in opposition to<br />

state equations that are linear; these equations can be graphed so<br />

that their solutions form a line.<br />

A nice property <strong>of</strong> linear equations is that they are stable; a<br />

small change in the initial conditions leads to a correspondingly<br />

small change in the outcome.<br />

<br />

Nonlinear equations, however, exhibit sensitivity to initial<br />

conditions and represent unstable systems. <strong>The</strong> commonly<br />

used phrase to describe this sensitivity to initial equations is the<br />

<br />

<br />

<br />

<br />

effect in his work creating computer models <strong>of</strong> the weather. Lorenz<br />

found that incredibly subtle changes in the values input into the<br />

model yielded massive changes in the weather as it developed.<br />

Such sensitivity to initial conditions is a problem because no matter<br />

how sensitive the measurements, the act <strong>of</strong> collecting data itself is<br />

accompanied by experimental error. This phrase refers to the fact<br />

that there is always a resolution attached to any instrument that<br />

limits how precisely something can be measured. If the system’s<br />

<br />

our ability to distinguish between relevantly different states <strong>of</strong> the<br />

system. <strong>The</strong> development will appear random and unpredictable,<br />

even though it is thoroughly deterministic.<br />

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