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Mathematical Expression Editor
This section aims to show how mathematical reasoning is different than ‘typical
reasoning’, as well as showing how what we are doing is mathematical.
Really though, what does any of this have to do with math?
If you are wondering why I haven’t given you anything to memorize yet, I would first
refer you to earlier; learningmemorizing is the antithesis of learningmemorizing. But, if you are wondering what this has to do with “math”, especially since I’ve
been somewhat vague as to what that is, that is a fair question. The answer is... this
has everything to do with math.
Remember, mathematics is not about formulas, numbers and variables. It is true that
mathematics utilizes these things (and we will get to that part later), but that is like
saying that poetry uses words and grammar - true, but rather missing the
point.
Perhaps a better question is: “what does any of this have to do with what we’ve done
so far?” (my claim, after all, is that we are doing math right now!). Mathematics is
the language of deduction, it is a very carefully developed language built with the
intent of bringing precision and structure to what we casually refer to as “thinking”.
(Don’t worry I’m not a megalomaniacal proselytizer and I am not trying to say
all thought is mathematics. Here I mean more that; when we say things like
“thinking through a problem” what we typically mean is trying to deductively work
through a problem from some beginning set of information. This specific
type of “thinking” is really what I’m referring to when I’m talking about
math)
Why does “thinking” need to be precise? What does that even mean?
You may already believe that your thinking is precise. Or you may believe
that thinking can’t be made precise. The truth is, thinking itself is pretty
nebulous, since it depends on the individual. What we really mean is that
mathematics aims to bring precision to the process of communicating one’s
thoughts.
By way of example, think of some amount of money. Really, think of it. Now think
about some amount of milk... yes really. Chances are, when you thought of the
money, you probably imagined a number, say one million dollars. You could have
pictured a pile of bills, but instead you had a number to represent the value. In
contrast, when you thought of milk, you probably had a “glass” of milk in mind, or
maybe a container. But a “glass” is nonspecific. Is the glass half full? filled to the
point of surface tension? Is it a twelve ounce glass? sixteen? eight? Most people
would say “a glass of milk” is more precise than “some” milk... but is it
really?
One of the key aspects of mathematics is developing a framework that requires
specifics for when you are trying to discuss these things.
Instead of saying “I have
some milk”, which of the following is more helpful in conveying exactly how much
milk I have?
I have a bunch of milk.I have thirteen ounces of milk.I have a
container of milk.I have a full glass of milk.
Notice that the precision is useful because the person you are talking to may be
picturing a vastly different glass than you are. For example; you could be imagining a
travel mug of milk, whereas the other person may be considering one of those tiny
Styrofoam cups or wax paper cones of milk... or if they are Canadian, a
bag of milk. (Yes, Canadians buy milk by the bag. But in fairness so
do a ton of other countries) This leaves room for misunderstanding and
mistakes that can get out of control with surprising speed and consequences (ok,
maybe not for milk... but when discussing money or strength of a bridge or
building?)
One may notice in our previous numeric model that we had to go through a process
of ’quantifying our information’. Another way to think of this is that, any problem we
are given to solve will almost inevitably entail nonprecise information or
goals. Thus, one of your jobs as a problem solver is to bring mathematical
precision to the “thinking” of the person posing the problem. This is typically
the hard part of the “clarifying” steps and then the future “quantifying”
steps, but it is necessary since otherwise your solution may be dismissed as
pointlessbe only applicable to a small subsetbe wholly inaccurate due to faulty
assumptions.