The energy levels available to a system (e.g. an atom, molecule, material, etc.) are the eigenvalues of the system's Hamiltonian matrix.
The following diagram which is presented to grade 9 (typically aged 13 to 15) students in the Ontario curriculum, shows labels four different energy levels, which correspond to the lowest four eigenvalues of the atom's Hamiltonian matrix:
~~ ~~ ~~ ~~ ~~ ~~![enter image description here](https://cdn.statically.io/img/i.sstatic.net/aMmur.png)
Therefore, all of spectroscopy is about eigenvalues and the differences between them.
It is how we know that there's water on Mars, and CO2 on Venus and how we know the composition of stars and how we know the composition of the universe:
~~ ~~ ![enter image description here](https://cdn.statically.io/img/i.sstatic.net/b2yWF.png)
We also use spectroscopy to check for pollutants in fuels, to check whether or not currency is counterfeit, and we use it in medical, geological, and atmospheric/climate applications among many, many other things.
The eigenvalues of the H atom within a non-relativistic model of the universe, are known analytically, but for larger atoms and for molecules, liquids, solids, etc., and even for relativistic modeling of the H atom, we almost always obtain eigenenvalues (energies) using numerical methods. For this exact reason, a chemist by the name of Ernest Davidson came up with one of the best ways to find the lowest eigenvalue of a matrix, and this is called the Davidson method. In only about 3.5 years, the word "eigenvalue" comes up 163 times on MMSE, so you can find a lot of real-world uses of eigenvalues.