Baluncore said:
Please give an example of where you might need to add or subtract two differently dimensioned values?
What concept is involved and how is it meaningful to physics?
My interest is in finding
a correct justification for why conventional dimensional analysis allows multiplication of different dimensions, but not addition of different dimensions. I'm not advocating a revision of dimensional analysis to allow adding different dimensions. I'm advocating that we find a coherent statement of why multiplying different dimensions is allowed and adding different dimensions is not allowed.
The explanations we often hear are just dogma - e.g. "It would be nonsense to add apples and oranges". (Yet it does make sense to multiply apples by oranges ?)
Some methods for justifying a statement S are the following.
1) S is true because it is empirically true. We assert S is observed to be true without offering any proof or explanation of why S is true.
2) S is a theorem. S can be proven from other statements we accept as truths. This includes indirect proofs. e.g. Reasoning that begins "Suppose we did add apples and oranges then it would follow that ..."
3) S is an assumption or definition.
In my (current) opinion, the coherent justification for the principle "You can't add apples and oranges" is 1). It is an empirical fact.
People who are familiar using conversion factors become so familiar with the convenience they offer that they wish to use method 2) and offer words to prove that "You can't add apples and oranges" as a theorem. Dignified treatments of dimensional analysis used method 3), they simply assert "We may multiply apples by oranges but we do not add apples and oranges" as an assumption or make it a consequence of a definition.
Using method 1): Consider how often in physics it is sufficient to know only the product of two dimensional quantities in order to make a prediction. For example, to predict whether we can unscrew a bolt, it is often sufficient to know the available torque we have in ft-lbs. If we need a torque of 20 ft lbs, we can realized this torque by a 10 lbs force acting on a 2 ft lever, or a 20 lbs force acting on a 1 ft lever etc. The measurement of ft lbs is ambiguous as to how many ft and how many lbs are involved in the phenomena. ( In the particular case of "zero ft lbs", we at least know that that there were 0 ft or 0 lbs involved. ) The ambiguity in a measurement like 20 ft lbs often doesn't matter because there are important behaviors in Nature that are completely specified by the product of two dimensioned quantities and don't depend on how the factors in that product are implemented.
Dimensional analysis does not assert that it
always makes sense to multiply quantities of different dimensions. It only asserts that one
may multiply quantities of different dimensions. The justification is that we find empirically that there are many situations where we can make a useful prediction knowing the value of a product without knowing the value of its factors.
Empirically , we do not find any notable situations where knowing the value of a sum of differently dimensioned quantities (without knowing the values of the summands) allows us to make a useful prediction. For example a measurement of "20 apples+oranges" is ambiguous about whether there were 0 apples and 20 oranges , versus 10 apples and 10 oranges, versus -50 apples and 70 oranges, etc.
If someone can offer an explanation of why Nature operates so that the ambiguity of products is often useful, but the ambiguity of sums is not, then I'd like to hear it. As far as I can see, it is an empirical fact, not a theorem.