Theoretical Question: how can complex solutions be allowed?

In summary, the conversation is discussing how to solve a homogeneous linear differential equation of order n by finding the characteristic polynomial and using the two complex roots to obtain two independent solutions. The question arises whether these complex solutions are actually solutions or if they are just used to lead to the real solutions. The professor states that they are just a rewriting, but the person is wondering if this is the correct way to view it. It is also noted that in quantum mechanical problems, the complex solutions are necessary.
  • #1
nonequilibrium
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Hello, I have my first course in differential equations.

So to solve a homogeneous linear differential equation of order n, you solve the characteristic polynome. Now say it has two complex roots [tex]z_1 = a_1 + b_1i[/tex] and [tex]z_2 = a_2 - b_2i[/tex]. These two roots give two independent solutions, namely [tex]y_1 = e^{z_1 x}[/tex] and [tex]y_2 = e^{z_2 x}[/tex]. My course notes go on -as my professor literally said in class- to rewrite these solutions by taking [tex](y_1 + y_2)/2[/tex] and [tex](y_1 - y_2)/2i[/tex] so we get the two real (and independent) solutions [tex]Y_1 = e^{a_1 x} \cos(b_1x)[/tex] and [tex]Y_2 =e^{a_2 x} \sin(b_2x)[/tex].

But can we really just call this rewriting? This cleary implies that [tex]y_1[/tex] and [tex]y_2[/tex] are just as well solutions, but that we simply prefer to rewrite them like that. I'd be more inclined to think that we only rely on the complex roots to lead us to the right answers, but that [tex]y_1[/tex] and [tex]y_2[/tex] form no solutions in their own right. Okay if we view our differential equation as a complex differential equation, then I suppose it's a valid solution, but it seems really wrong to me that one would mix real and complex cases. For example the reason we were looking for [tex]Y_1[/tex] and [tex]Y_2[/tex] in the first place was to use them as two vectors for our base for the vectorspace describing all the solutions to the differential equation. In that context using something with [tex]i[/tex] in it seems absurd, doesn't it? In the whole chapter we've used R as our evident field and proven existence and unicity assuming the structure of R. (and R looks differently when viewed in the bigger picture of C, because according to R any constant in C is worth two constants in R)

I hope someone gets what is bothering me? If the professor had just said "we don't actually see these complex functions as solutions but only rely on them to get to our answer, an answer which can then exist and be justified in its own right" then all would be good, but he repeatedly stated it as "merely a rewriting", and the complex numbers keep returning (now with systems of DE's) and him stating the same thing... Just wondering if my view is correct or if I'm missing something big!

Please note that my question is purely theoretical and not practical.
 
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  • #2
I could perfectly well write the general solution to my problem as

[tex]y(x) = A_1 y_1(x) + A_2 y_2(x)[/tex]

for some [itex]y(0) = y_0 \in \mathbb{R}[/itex] and [itex]y'(0) = y'_0 \in \mathbb{R}[/itex]. In working out what A_1 and A_2 are, I would find they're complex. Any answer I get out for y(x), however, is going to end up being real, as it will happen that the imaginary component cancels out. My y(x) is still a perfectly good solution, it just happens that it only gives me real results for real initial conditions and real inputs. Because of that, it's convenient to take a linear combination of the solutions y_1 and y_2 to get real solutions. (Remember that any linear combination of solutions is still a solution for a linear DE). You could do the problem without using the complex solutions, but it's not obvious that [itex]Y_1 = e^{a_1 x} \cos(b_1x)[/itex] and [itex]Y_2 = e^{a_2 x} \sin(b_2x)[/itex] are solutions, whereas the complex solutions are pretty easy to find.

For quantum mechanical problems, factors of [itex]i[/itex] appear right in the DE itself, so the solutions you get will have imaginary parts that don't cancel out for the given boundary conditions, so the complex solutions are very much "real" solutions.
 

1. What is the definition of a complex solution?

A complex solution is a solution to a problem that involves multiple variables and factors, making it difficult to solve with a simple or straightforward approach. It often requires advanced mathematical or scientific techniques to find a solution.

2. Why are complex solutions important in science?

Complex solutions are important in science because they allow us to solve problems and understand phenomena that cannot be explained with simple solutions. They also help us to make sense of complex systems and processes in the natural world.

3. How can complex solutions be allowed in scientific research?

Complex solutions can be allowed in scientific research by using advanced mathematical and computational techniques, such as computer simulations and modeling. These methods allow scientists to analyze and understand complex systems and phenomena.

4. What are some challenges associated with finding complex solutions?

Finding complex solutions can be challenging because they often involve a large amount of data and variables, making it difficult to identify patterns or relationships. Additionally, the complexity of the problem may require specialized knowledge or resources, which can be time-consuming and costly.

5. How do scientists ensure the accuracy and validity of complex solutions?

Scientists ensure the accuracy and validity of complex solutions by using rigorous methods and peer review processes. They also rely on replicability and reproducibility to verify the results of their complex solutions. Additionally, scientists may use multiple approaches and techniques to compare and validate their findings.

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