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184 II Seeing How It Works<br />

Embedding is given for basic elements, and the part relation is defined for the<br />

shapes they make. The generalization looks like this<br />

parts : shapes < embedded elements : basic elements<br />

and the supporting definition is remarkably easy to state—it’s almost automatic—<br />

thanks to maximal elements.<br />

One shape is part of another shape whenever every maximal element of the first is<br />

embedded in a maximal element of the second.<br />

Thus for example, the lowercase k<br />

with three maximal lines is part of the shape<br />

with eight maximal lines, as this trio of embeddings shows<br />

Parts don’t require identity. The maximal lines in the two shapes are completely different.<br />

And it’s worth making a big deal of this—<br />

parts are there whenever I can trace them out<br />

—so that the formality doesn’t obscure the result. Nothing is lost in this two-tiered<br />

approach. There are basic elements and arrangements of them, allowing the former to<br />

keep all of their properties in the latter. <strong>Shape</strong>s are combinatorial after all, but not in<br />

the usual way where the properties of sets, list structures, graphs, etc., determine how<br />

elements behave. Formal devices come at the end to tidy things up. They don’t make<br />

shapes the way they are. In a word, that’s preposterous—at least as Jacques Barzun<br />

means it.<br />

It’s easy to see that the part relation is a partial order on shapes. In fact, I can<br />

use it to define lattices for shapes in the way I used embedding to describe basic elements,<br />

only now with far more generality. Meets and joins are defined for all shapes<br />

and for all values of i. This works because shapes can contain multiple elements and<br />

not just single ones, and also because there’s an empty shape with no elements at

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