Welcome back, everyone. I'm Charles Clark and this is Exploring Quantum Physics. In today's lecture, we're going to look at solving the Schrodinger Equation by a well-known proven technique. Actually, first used by Schrodinger himself, which is the use of the special functions of mathematics. I'm using a convenient online reference, which is freely available around the world for this. It's a standard repository digital library of information on the so-called special functions of mathematics, which are the ones that are in most widespread use in areas of science and engineering. it contains the definitions, properties, interactive graphics. Something might be of interest to some of you. TeX encoding of all of all appropriate material of all the equations and so on. Also, MathML encoding. And the ability to do Semantic search which recognizes fairly free format mathematical, mathematical information. Also, I've put some material on the course page in the additional materials section. And one of them is a summary of the solutions of frequently encountered Schrodinger equations in terms of special functions. and then, something I encourage you to try a demonstration which uses a, a numerical solution of the Schrodinger equation. It's coded up very simply on a spreadsheet and basically two lines of code are all that are required. And this will give you the opportunity to actually gain some experience with practice in numerical solution which I think, in my case, has been a really good guide to understanding how things happen and why and what to expect. I mean, there really is, the only way that you're going to become comfortable and familiar with solving the Schrodinger Equations by working on examples. So I do strongly encourage you to take that opportunity and, you know, perhaps to apply to some of the, the simple examples we're going to start with now in the lecture. Well, who was the first to solve the Schrodinger Equation using special functions? No kidding, it was Schrodinger himself. What's good enough for Erwin Schrodinger is good enough for us. in his very first paper on wave mechanics he used special functions to solve the equations for the hydrogen atom. And I think in the some second or third paper, he also computed the harmonic oscillator. And what he did and I think this is one reason why the Schrodinger equation was so widely adopted quickly is that he found that he could solve the Schrodinger Equation with standard well-studied equations of mathematical physics. So, these were functions that were defined in previous contexts and applied to things like electromagnetism and acoustics. And thereby, there was, there was a rich technology that had already been developed and the properties of the solutions of those functions were mathematically well-defined in them. So that's a pretty good approach to be following. So, we're going to look at three one-dimensional examples in this context. the constant potential, the linear potential, which describes a particle in electric field, and then the quadratic potential of which you've already seen a good treatment of by Victor in the harmonic oscillator section. this is going to look at things in somewhat more general context. So, the solution is here. A map on to the exponential, the Airy and the Parabolic Cylinder functions respectively. and I hope to show you from a few simple examples some of the generic features that you'd expect when you might be dealing with a more a system that has parts of it that look like this. But then, they, they might vary in a piecewise manner or something like that. For example, if you're designing a a multi-layer semiconductor quantum dot or a quantum wave guide you will, you will encounter segments of the problem where the potentials might look piecewise, like they do here. Well, let's proceed. Okay, now, we look at the constant potential. Something not terribly interesting in its own right. But we're going to do it in a more, in the most general way. So, the, the point is we have a, a given potential. And now, we have the Schrodinger equation, which we're defining without any boundary conditions. And we want to find the solutions for all possible energies. So we want, in other words, we want to be able to solve this equation in the most flexible way. And the, the standard approach that applies to all these examples, and will apply to most other practical problems you work on, is to transfer, transform the Schrodinger Equation into a, a standard dimensionless form that defines one of the special functions. So this one is pretty easy. we can see we, you just, you just move these constants around, and and scale the variable. And as you [INAUDIBLE], the, there, there is in fact a dividing line between two classes a solutions associated with sine of this coefficient. So, here are, here is the transformation I described choose a scaled variable, and we get these two the two different solutions. So the point to note here is this is a second order different actual equation. And so, it always has two independent solutions. Now, you can choose those solutions in different ways. Here is a standard choice for the oscillatory solutions. The sine and the cosine out of phase by half a wavelength. and any other solution that you get will, is, can be described as some linear combination of those two there. So, that's that seems fine. Now, in the in what we call the classically forbidden region, where the energy is less than the potential energy, then we get the minus sign in the natural way of decomposing this equation. And now, here's an important point. Once again, there are two solutions and actually there are, there are any numbers of ways you can pick the two solutions. So here, I have the exponent of rho and the exponent of minus rho. Well, sinh rho and cosh rho would be equally acceptable. They are independent. but there is uniquely one solution only up to a multiplicative constant. One solution only, that, that converges in the, in this, this is what we call the classically forbidden region. I mean the energy is the potential energy plus the kinetic energy if the energy is less than the, the potential energy, that corresponds to the kinetic energy being negative. Which can't be the case because it's well, you can, but, but you do get, you'd get, you get you'd get suppressed behavior. So, if you think about it, this, this area is tricky from the standpoint of implementation, because if you're, if you are, let's say integrating a normal wave function. That in, into the forbidden region in the forbidden region, your solution is going to be a linear combination of one that's divergent and one that's convergent. And the chances of your hitting the exactly convergent function are very small. Okay. I admit, we're not going to win any Nobel prizes for solving the one-dimensional Schrodinger equation with a constant potential. But let me say two things about it. First of all, you can well imagine simulating, let's say, let's say you have a interesting potential that you want to solve for some problem a waveguide design, or something like that. Well, you can think about approximating it by by a step, a stepwise approximation. So here, I've got these. I, you sort of like approximate an integral by a, a finite sum and you could then use use this simple mapping onto functions within each region to advance a wave function efficiently across an arbitrary potential. The second is sometimes one thinks of these, these step or square well problems as being highly contrived. But virtually, every day, you encounter practical example of such a system and that's when you look, you look through a window. so let's say, here, you look at a window. So here, we have incoming light e to the ikx is representing the incoming wave. And then, we have the reflected wave of coefficient R, Re to the minus ikx. And then, there's a transmitted wave into the glass. And the relationship between the transmitted wave of normal incidence and the incident one is that the, the wave vector in the glass is multiplied by the refractive index, which is about 1.5. So my challenge to you is to determine what that transmission code, what fraction of the light passes from the air into the glass and what fraction is reflected? So, I hope you saw that for glass, about 4% of light is transmitted. So, that, that's a pretty low loss. but it's, it's enough that you can see your reflection under certain conditions. Now, we look at the linear potential. So you might say we started with V naught. Now, we're adding a term, which is constant. Now, we're adding a term that's linear and x. So in some respects, this is sort of the next it, in order of, of mathematical complexity, this is like the next function in the series away from the constant, the linear. And so there's Schrodinger's equation, it's very straightforward. And what we do is here is x in terms of the, the dimensionless variable row. we, we, we take away the offset and divide by the slope. here is the here is the equation for the coefficient alpha. Now, are, the standard solution, which is the defining solution of the area function is here. It's just the second really, there's a portion of linear multiple, of the wave function. And again, we have a pair of independent solutions. So, in the region rho less than zero, the wave function is always oscillatory. And we see that in that region, we have these two independent solutions called Ai and Bi, they're both called Airy functions. So, so any choice, any choice of wave function in this region is going to be oscillatory. You might, you might ask yourself, what does that correspond to physically? Now, once again, in, there's another region. And I guess you can see, because if rho greater than zero, this is sort, sort of corresponds to the negative sine equivalent for the the constant potential. So now, there is one unique solution. Again, up to an overhaul multiplicative constant. But one unique solution that converges as, as rho goes to infinity and another that diverges. So these two have applications. We'll talk about this one, the quantum bouncing ball. and the Bi's is, is arises in field ionization, and scanning tunneling microscopy. Well, just important, how important is the quantum mechanical bouncing ball? Well, might you ask. Well first off, it's, it's a good example, because it, it it's, it's kind of like the, you might say in some sense the simplest case of a balanced state problem one has. But in fact, it's been the subject of a very fascinating recent experiment of trapping neutrons the neutral counterpart to the proton in the earth's gravitational field. So, in this experiment very cold neutrons are put into a chamber and they, they they're reflected by a mirror, and so, they bounce back and forth in the earth, earth's gravitational field. Now, you remember this map of all the theories that Victor showed in the introductory lectures, that showed that gravity was something kind of disconnected from the main themes of quantum mechanics and, and relativity. While here in this experiment, they're actually looking at the quantized energy levels of a particle in the earth's, subject to the earth's gravitational field. So this is a test of whether a quantum particle performs as expected under the influence of gravity. In principle, this is a very, in my opinion, very significant, intellectually interesting experiment. Now actually, I mentioned a predecessor, predecessor in earlier lecture, which is neutron interferometery in the gravitational field. well, no surprises were found here, but you might, you might consult this paper, it's rather interesting. And we're now going to solve the, solve the problem associated. Okay, just some numbers for you to keep in mind. here's the standard value for the earth's gravity, the mass of a neutron. And now, in the way this problem is set up, here is the, here is the Schrodinger equation that we're solving. And so this part includes the the linear potential. So, x is zero on the surface of the mirror, and as you go up, you're in a potential which is Mgx. and then, the boundary condition on the mirror it's a bouncing ball. So we require the wave function to vanish there. All right, so now I just have a sanity check for you to answer in terms of an in video quiz. Okay, I admit, that was another unit check. But to tell you the truth, I always check units. I never, I hope never to forget to do that. You catch so many errors that way. And what I hope many of your saw is that you didn't really need to do deep analysis to figure out what alpha is. Because you see in this equation, alpha rho is equal to E, and rho is dimensionless. So, that means that alpha must be equal to energy or another way of noting that is when you put Mgx. That's got to equal to that's got to be equal to alpha rho, and rho again has been chosen manifestly to be dimensionless. Okay, now, I have another brief quiz. basically, the same sort of idea of getting familiar with the details of the problem as it's laid out here. Okay, so this, the answer was rho is this classical turning point. It's the highest point reached by the neutron's trajectory. And I guess you can see that, here, in the sense that for rho equal to zero, we have E is equal to Mgx. So that means all the energy is in the potential energy. So that, that rho of zero is the turning point to the classical motion. So now, you can see the influence of the turning point here, that's where the wave functions starts to die off. The sort of the, the lore is there's like a quarter of a wavelength of damped oscillation there at the just beyond the turning point. And now, do you see how we're going to solve the the, the problem with the boundary condition? We, we're going to require that the wave function vanished at the surface of the mirror. Well, the surface of the mirror is given by this. And so, and, but the wave function is, is just is the most general solution here is Ai of rho minus the sum rho naught. And so, when we choose the values of rho to correspond to the nodes of the area function here, then you might say, this here, the profile from here on out. That is the amplitude of the ground state, because it's the lowest energy solution that vanishes on the mirror. Now, to find the next one, you're basically moving the mirror down. You might say you could think of a different experiment where you drop, you drop the neutron from a certain height, and then you, you keep moving the mirror down until you get, until you get sort of a perfect reflection. And so, the sequence of excited states can be, can be determined by picking off the area functions. And so once again, it's sort of, here's the, here's the energy. It's, it's the scaling constant times these rhos, the lowest one, you know, it's, it's 2.34, it's of the order of [UNKNOWN]. So, this is the case where, just calculating the scaling constant gives you a good prediction in the energy scale of the system. Now, here is the the quadratic equation. now, I'm just going to take the, the the case where it has a positive quadratic coefficient, which does correspond to the, the harmonic oscillator. And what you do is you you, you, you, you transform, so this, this potential always has a minimum somewhere. You just move to that minimum then there's an energy offset here. And then as we know from the analytic solution of the harmonic oscillator, the, the spectrum is given by this, but again, let's look at it from the general, the general perspective. So, the standard equation for the quadratic potential is what's called a parabolic cylinder function. And in particular, there is a class of well-studied solutions traveling under this name, the D, D sub n's. And the two solutions to the, this equation are Dn of rho and Dn of minus rho. And it so happens that these are chosen so that for positive n, Dn of rho always converges. So this would be something quite useful to know if you were dealing with a problem, which was sort of piece wise quadratic. And you wanted to make sure that you were getting a solution to tail off in the in the class of forbidden region. on the other hand, there in the region rho less than zero both of these diverge unless n happens to be an integer. And that of course, is the here's, here's the n, you see. And that, that, that of course corresponds to the solution from the harmonic oscillator. So those are just shown here. Here is n equals zero. It's the ground state of the harmonic oscillator n equal to three. But now, he sees, n, for n equal 3 halves, you get something that's kind of harmonic oscillator looking, but do you see it's not crossing? It's not crossing it's not, it's not intersecting rho equals zero, so it can't be an odd solution. And it doesn't have a math a local maximum of rho equals zero. So it can't it doesn't have a zero derivative, rho equal to zero, so it can't be infinite an even solution. So, these, these all, these all diverge at large values of negative rho. Okay, I think, now is a good time to leave off. And just imagine again that I think you'll, those of you who like to solve problems should find some benefit from working out the numerical solutions to some of these equations. You can modify this spreadsheet to treat potentials of your own choosing. By the way, it's not, it's not a highly competitive method of solving an ordinary differential equations. It's just something that happens to be easy to code up, it's [UNKNOWN] when understood. And you could, you know, you can see the solution happening in real time. again, there's also a a summary of the cases that are most readily treated by use of special functions.