# L1.1 Quantum mechanics as a framework. Defining linearity.

PROFESSOR: Very good So it's time to start So today, I want to talk about general features of quantum mechanics Quantum mechanics is something that takes some time to learn, and we're going to be doing some of that learning this semester

But I want to give you a perspective of where we're going, what are the basic features, how quantum mechanics looks, what's surprising about it, and introduce some ideas that will be relevant throughout this semester and some that will be relevant for later courses as well

So it's an overview of quantum mechanics So quantum mechanics, at this moment, is almost 100 years old Officially– and we will hear– this year, in 2016, we're celebrating the centenary of general relativity

And when will the centenary of quantum mechanics be? I'm pretty sure it will be in 2025 Because in 1925, Schrodinger and Heisenberg pretty much wrote down the equations of quantum mechanics But quantum mechanics really begins earlier The routes that led to quantum mechanics began in the late

Years of the 19th century with work of Planck, and then at the beginning of the century, with work of Einstein and others,m as we will see today and in the next few lectures So the thoughts, the puzzles, the ideas that led to quantum mechanics begin before 1925,

And in 1925, it suddenly happened So what is quantum mechanics? Quantum mechanics is really a framework to do physics, as we will understand So quantum physics has replaced classical physics as the correct description of fundamental theory

So classical physics may be a good approximation, but we know that at some point, it's not quite right It's not only not perfectly accurate It's conceptually very different from the way things really work So quantum physics has replaced classical physics

And quantum physics is the principles of quantum mechanics applied to different physical phenomena So you have, for example, quantum electrodynamics, which is quantum mechanics applied to electromagnetism You have quantum chromodynamics, which is quantum mechanics applied to the strong interaction

You have quantum optics when you apply quantum mechanics to photons You have quantum gravity when you try to apply quantum mechanics to gravitation Why the laughs? And that's what gives rise to string theory, which

Is presumably a quantum theory of gravity, and in fact, the quantum theory of all interactions if it is correct Because it not only describes gravity, but it describes all other forces So quantum mechanics is the framework,

And we apply it to many things So what are we going to cover today? What are we going to review? Essentially five topics– one, the linearity of quantum mechanics, two, the necessity of complex numbers, three, the laws of determinism, four,

The unusual features of superposition, and finally, what is entanglement So that's what we aim to discuss today So we'll begin with number one, linearity And that's a very fundamental aspect

Of quantum mechanics, something that we have to pay a lot of attention to So whenever you have a theory, you have some dynamical variables These are the variables you want to find their values because they are connected with observation

If you have dynamical variables, you can compare the values of those variables, or some values deduced from those variables, to the results of an experiment So you have the equations of motion, so linearity We're talking linearity

You have some equations of motion, EOM And you have dynamical variables If you have a theory, you have some equations, and you have to solve for those dynamical variables And the most famous example of a theory that is linear is Maxwell's theory of electromagnetism

Maxwell's theory of electromagnetism is a linear theory What does that mean? Well, first, practically, what it means is that if you have a solution– for example, a plane wave propagating in this direction–

And you have another solution– a plane wave propagating towards you– then you can form a third solution, which is two plane waves propagating simultaneously And you don't have to change anything You can just put them together, and you get a new solution

The two waves propagate without touching each other, without affecting each other And together, they form a new solution This is extraordinarily useful in practice because the air around us is filled with electromagnetic waves

All your cell phones send electromagnetic waves up the sky to satellites and radio stations and transmitting stations, and the millions of phone calls go simultaneously without affecting each other A transatlantic cable can conduct millions of phone calls at the same time, and as much data and video and internet

It's all superposition All these millions of conversations go simultaneously through the cable without interfering with each other Mathematically, we have the following situation In Maxwell's theory, you have an electric field,

A magnetic field, a charge density, and a current density That's charge per unit area per unit of time That's the current density And this set of data correspond to a solution if they satisfy Maxwell's equations,

Which is a set of equations for the electromagnetic field, charged densities, and current density So suppose this is a solution, that you verify that it solves Maxwell's equation Then linearity implies the following You multiply this by alpha, alpha e, alpha b, alpha rho,

And alpha j And think of this as the new electric field, the new magnetic field, the new charged density, and the new current is also a solution If this is a solution, linearity implies

That you can multiply those values by a number, a constant number, a alpha being a real number And this is still a solution It also implies more Linearity means another thing as well

It means that if you have two solutions, e1, b1, rho 1, j1, and e2, b2, rho 2, j2– if these are two solutions, then linearity implies that the sum e1 plus e2, b1 plus b2, rho 1 plus rho 2, and j1 plus j2 is also a solution

So that's the meaning, the technical meaning of linearity We have two solutions We can add them We have a single solution You can scale it by a number

Now, I have not shown you the equations and what makes them linear But I can explain this a little more as to what does it mean to have a linear equation Precisely what do we mean by a linear equation? So a linear equation

And we write it schematically We try to avoid details We try to get across the concept A linear equation, we write this l u equal 0 where u is your unknown and l is what is called the linear operator,

Something that acts on u And that thing, the equation, is of the form l and u equal 0 Now, you might say, OK, that already looks to me a little strange, because you have just one unknown, and here we have several unknowns So this is not very general

And you could have several equations Well, that won't change much We can have several linear operators if you have several equations, like l1 or something, l2 on something, all these ones equal to 0 as you have several equations

So you can have several u's or several unknowns, and you could say something like you have l on u, v, w equals 0 where you have several unknowns But it's easier to just think of this first And once you understand this, you can think about the case where you have many equations

So what is a linear equation? It's something in which this l– the unknown can be anything, but l must have important properties, as being a linear operator will mean that l on a times u, where a is a number, should be equal to alu and l on u1 plus u2 on two unknowns

Is equal to lu 1 lu 2 This is what we mean by the operator being linear So if an operator is linear, you also have l on alpha u1 plus beta u2 You apply first the second property, l on the first plus

L on the second So this is l of alpha u1 plus l of beta u2 And then using the first property, this is alpha l of u1 plus beta l of u2 And then you realize that if u1 and u2 are solutions– which means lu 1 equal lu 2 equals 0

If they solve the equation– then alpha u1 plus beta u2 is a solution Because if lu1 is 0 and lu2 is 0, l of alpha u1 plus beta u2 is 0, and it is a solution So this is how we write a linear equation

Now, an example probably would help If I have the differential equation du dt plus 1 over tau u equals 0, I can write it as an equation of the form lu equals 0 by taking l on u to be defined to be vu vt plus 1 over tau u

Now, it's pretty much– I haven't done much here I've just said, look, let's define l u to be this And then certainly, this equation is just lu equals 0 The question would be maybe if somebody would tell you

How do you write l alone– well, l alone, probably we should write it as d dt without anything here plus 1 over tau Now, that's a way you would write it to try to understand yourself what's going on And you say, well, then when l acts as the variable u,

The first term takes the derivative, and the second term, which is a number, just multiplies it So you could write l as this thing And now it is straightforward to check that this is a linear operator l is linear

And for that, you have to check the two properties there So for example, l on au would be ddt of au plus 1 over tau au, which is a times du d tau plus 1 over tau u, which is alu And you can check

I asked you to check the other property l on u1 plus u2 is equal to lu 1 plus lu 2 Please do it