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Posted 25 June
2008
UNDERSTANDING MATH:
CONCEPT AND COMPUTATION
When mathematicians consider a mathematical object, they are typically interested in two different aspects of it:
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I want a conceptual understanding of the object.
¨ How do I think about it?
¨ What properties does it have?
¨ How is it different from other math objects?
¨ How can I understand it so that I can see possible applications?
¨ How do I find a value of the object (if that makes sense)?
¨ How to I tell how big it is (in some sense of big)?
¨ How do I determine in an efficient way what properties it has?
Proofs can have a conceptual side and a computational side too.
¨ A conceptual proof helps you understand why the statement is true.
¨ A computational or symbolic proof may be easier to check systematically to see if it is correct, and to automate using some suitable computer program.
Below I give some examples of what people call conceptual and symbolic or computational. Those are not well defined ideas. Conceptual presentations are commonly geometric, but they don’t have to be. And if you understand some technicalities really well, you might call something conceptual that looks like a horrible bunch of symbolic manipulations to someone else.
Whether something is conceptual or not depends on what concepts you understand!
Conceptually, the derivative of a function f is another function whose value at a is the slope of the tangent line to f at a. (See here
for discussion and examples.) In
calculus class you may have learned many specific formulas for computing the
derivative of various functions. Those
formulas are all proved using the epsilon-delta definition of
derivative. The epsilon-delta
definition
has a (rather subtle) conceptual basis.
Epsilon-delta proofs
are usually longish
chains of symbolic transformations. Refer
to an example somewhere.
Here is a simple example that shows the distinction between concept and computation. You are no doubt familiar with the identity
which holds for all real numbers. (In fact it holds in any commutative ring.)
This proof shows an explicit series of steps that verify the identity using basic laws of algebra:
This diagram shows why
the identity is true geometrically (for b < a).
Note that the two rectangles marked “ ”
are congruent.

This conceptual proof requires no algebraic laws or computations at all. On the other hand, it is not easy to see how to generalize it to a commutative ring.
The idea of “conceptual proof” depends on your experience. If you are not familiar with basic geometric facts, the preceding geometric proof may not be conceptual!
Here is another example that shows how “conceptual” depends on what you know about.
The number y has to be in one of three intervals in this picture of (part of) the real line:
![]()

If y is in the left interval or the middle
interval, then . If it is in the middle or right
interval, then
.
We know that for real numbers, if x > y and y > z,
then x > z (this is the transitive law).
The contrapositive of this statement is: If x is not greater than y and y is not greater than
z then x is not greater
than z. But for any real numbers r and s, saying that r is not greater
than s is the same as saying that . So, rewording the contrapositive and using
one of the DeMorgan laws, we get: if
, then either
or
, as was to be proved.
If you have some experience with mathematical logic, you might react to the logical proof (as I did) this way:
Why, the statement in the theorem is nothing but the contrapositive of the transitive law!
When I realized that, I felt that I had acquired a new insight, so I would call this statement conceptual. The geometric proof gives you a different insight.
Another point: The logical proof works in a much more general setting: The statement is true in any totally ordered set. The geometric proof gives you no clue that that is true.
TO BE FINISHED
orem obvious. But there is a sense of "conceptual", related to the idea of conceptual definition given under
ic proof, it is enough to enable anyone conversant with simple logic to ge