Column: On the origin of equations
For this month’s issue of Physics Today, I wrote about a new experiment using molecules as a probe of fundamental forces
In my story, I mentioned that for all any experiment has been able to determine, Isaac Newton’s law of gravity—given by the equation F = GMm/r2, where F is the gravitational force between two masses M and m, r is the distance between them, and G is a constant—could be wrong by up to 21 orders of magnitude at the nanometer scale. For distances of tens of nanometers up to microns, the experimental upper bounds are somewhat better but still large; for subnanometer scales, they’re considerably worse. This video
If you think about it, it makes sense that the force of gravity between microscopic objects would be extremely difficult to measure. But I’d never thought about it. (And I’ve even written before
Miller’s Diary
Physics Today editor Johanna Miller reflects on the latest Search & Discovery section of the magazine, the editorial process, and life in general.
To check my memory, I cracked open the copy of Paul Tipler’s College Physics
The focus on formulae and equations extends across a lot of introductory science and mathematics. The area of a circle is given by A = πr2, just as F = GMm/r2. Plug in some numbers, chug out the answer, and don’t think too much about what any of it truly means. That approach, apart from being a wholly joyless experience, obscures some important differences between scientific and mathematical thinking and the complementary ways they help us make sense of the world.
In my 10th-grade geometry class, as we were getting ready for our first official lessons on mathematical proofs, I remember the teacher explaining to us (poorly) the difference between inductive and deductive reasoning. She made inductive reasoning—extrapolation from patterns—sound like an entirely inferior, even useless, way of thinking, because you can never be sure that a pattern you observe today will continue to hold tomorrow. Deductive reasoning, she said, was the way to go, because the conclusions follow with certainty from the premises.
When limited to the realm of mathematics, what she described isn’t too far wrong. Looking for patterns among specific cases can be helpful in formulating new theorems to prove, but it’s the proof, not the pattern, that makes the theorem valid. Last month my colleague Heather Hill wrote about a curious sequence of integrals
(To be fair, one of the axioms needed to derive A = πr2 is the parallel postulate
An illustration of Henry Cavendish’s 1798 torsion balance.
Henry Cavendish (public domain)
In science, though, inductive reasoning is indispensable. You can reason deductively with Newton’s law of gravity as a premise, but the law itself is based on observations of gravity in action among planets, the Moon, torsion balances, and so forth. Its validity and its predictive value extend only as far as it’s been tested—which, for the nanoscale, is not far at all. Even at larger scales, our confidence in both the inverse-square relationship and the value of G is limited by measurement precision
If my geometry teacher had her way, we’d be forced to conclude that, although we can be reliably informed about circles, we know nothing whatsoever about gravity. Obviously that’s not true, and no one seriously thinks it is. (Even the crackpots
I don’t mean to disparage the people who teach (or write textbooks for) math and science classes at the high school and introductory college levels. Students’ understanding has to start somewhere, and perhaps it’s not reasonable to expect them to grasp all the subtleties of the foundations of those fields right from the start. But if students aren’t paying close attention, they can end up with a distorted view of how science and mathematics work together to generate knowledge about the world.
And even if they are paying attention, they can miss out on the ways the limitations of that knowledge occasionally surprise us.
Thumbnail image credit: Linda Williams (public domain)