rumpole said:
I was just thinking that if the use of an impossible mathematical quantity ie the square root of -1 can be used to solve real world problems, does that imply that what we can perceive and measure in the universe is only half of what is really happening, and the other half, although imaginary to us has actual effects on how we all operate in our ‘reality’.
And therefore it could be said “we don’t know the half of it”, and any model we make of the cosmos will forever be incomplete.
As others have said, the square root of -1 is a perfectly valid mathematical entity. I’m not sure what would qualify as an impossible mathematical quantity…
You have acknowledged that it can be used to solve real world problems, but I feel obliged to have a mini-rant on the topic of complex numbers. :)
As Sibeen complained, the term “imaginary” is an unfortunate historical legacy; I’d prefer it if imaginary numbers were called orthogonal numbers, or sideways numbers. A few years ago, while chatting with one of my young nephews who’s interested in maths, I introduced the topic of sideways numbers. He was only 10 at the time, but he had no trouble understanding what I was talking about. Whereas many high school students are intimidated when they are first introduced to imaginary numbers, and I mainly blame the terminology for that.
True, imaginary numbers can seem a bit strange at first. You can’t have 3_i_ oranges, but you can’t have -3 oranges, either (although I suppose you might owe somebody 3 oranges, and choose to represent that situation mathematically by saying you have -3 oranges). That doesn’t mean imaginary numbers are impossible, just that they aren’t useful when counting things like oranges.
But that doesn’t mean they are merely a mathematical abstraction, since they are very useful in all sorts of very physical situations, particularly when rotations in a plane are involved. It has already been mentioned that they are useful in electronics, since fundamental equations that apply to simple direct current can be applied to alternating current (and more complicated waveforms) if you use complex numbers.
Diddly-Squat said that “mathematics is just a construct that we use to describe things”. I’d take that further, and say that mathematics is the science of structure. Many of the structures that mathematics can describe are quite abstract, with little bearing on the physical world; OTOH, much of the development of mathematics has been spurred on in the quest to model physical things. And there are plenty examples of maths that was once though to be totally abstract but which later found practical application, including much of the core maths of relativity, quantum mechanics, and the maths used in the modern encryption systems that allow information to be securely transported over the Internet.
Diddly-Squat mentioned that complex numbers are used in Fourier analysis: the mathematics of representing a complex periodic wave as a combination of a series perfect sine waves. The transformation that is used in Fourier analysis to convert an arbitrary wave into a set of sine waves relies heavily on complex numbers. Amazingly, the formula used to convert an arbitrary wave into a set of sine waves is almost identical (apart from a change of sign and a scaling factor) to the formula used to reverse that transformation.
Fourier analysis and related parts of mathematics are extremely useful in signal analysis and transformation, since it allows us to handle all sorts of weird & wonderful waves once we know how to handle the simple sine wave. One mundane (but exceedingly common) application is in data compression: JPEG & MPEG image compression use a close relative of the Fourier transform (the Discrete Cosine Transform) to dramatically reduce the number of bytes needed to store image data.
In Quantum Mechanics, we use waves to describe the position and momentum states of systems; it can be shown that there is a Fourier relationship between position and momentum waves, so Fourier analysis is very important in Quantum Mechanics.
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But to get back to the main point of your question. Yes! There may be more to the universe than meets the eye, and it’s quite possible that there are other spatial dimensions that are orthogonal to the ones we’re familiar with. And although we cannot perceive these dimensions directly, we may still be able to indirectly detect their effects on the visible world.
This is actually a fairly major area of current mathematical physics research, although it has its modern origins in the 1920s with Kaluza-Klein theory. Kaluza wanted to unite
Maxwell’s laws of electromagnetism with Einstein’s new theory of gravity. He realised that if he applied General Relativity to a 5 dimensional spacetime, Maxwell’s equations almost “fell out” as if electromagnetic phenomena were some kind of higher dimensional motion. Roughly speaking, in Kaluza’s model, conservation of electric charge is conservation of momentum in this extra dimension of space.
People were rather impressed by this unification, but they wondered that if this model is true, then why do we not have other evidence for the existence of this extra dimension. Klein had the bright idea that the extra dimension is compactified: the universe is so thin in the 5th dimension that we just don’t notice it like we notice the other spatial dimensions. Also, the 5th dimension is closed, like a circle, so if you travel a tiny distance in that direction you get back to where you started from.
Although the model works mathematically, most physicists thought it was so weird that it got put on the back burner for a couple of decades (they had enough problems handling the arcane maths of normal General Relativity, and the even more arcane maths of Quantum Mechanics). And in the meantime, the Strong and Weak nuclear forces were discovered, so Kaluza-Klein was no longer a theory uniting all the known forces. But in recent decades, mathematical physicists have revived Kaluza-Klein by adding extra compact dimensions to handle the symmetries of those nuclear forces. The resulting theory is more complex to work with than the original Kaluza-Klein theory, but it shows much promise.