## Lambda Calculus

It’s a programming language unlike any you’ve seen before. Check out this symbolic system designed for mathematical calculations.

Programming languages are cool. There’s so many and most of them are really different from one another! We’ve covered a lot of really interesting ones so far: languages that treat pictures as programs, languages designed to run on mobile devices, languages designed to do computing fast, and many others.

Now, we’re going to talk about a programming language completely unlike everything else we’ve seen but one that’s still exerting influence today: the lambda calculus.

The lambda calculus is old; old enough that it predates computers. It was invented by Alonzo Church, a mathematician, in the 1930s. You may not have heard of Church before, but you’ve probably heard of one of the students that worked for him: Alan Turing! There’s a neat connection here between Turing’s work and Church’s lambda calculus.

You see, Turing came up with what we now call “Turing machines” as a way of figuring out what you could do with a machine that calculates. That may be surprising, but even though computers didn’t yet exist, the idea of a machine that could do math had been around since the early 1800s when people like Ada Lovelace wrote the first algorithm for a *very* hypothetical computer called the Analytical Engine.

Church, on the other hand, tried to answer the question of the limits of computers by inventing a symbolic system, the lambda calculus, for doing calculations. It’s a kind of “algebra” of computation, where each expression you could write down in the lambda calculus executes to perform a complex calculation. In other words, it’s a language for programs you can write down that can be executed to calculate a number. It’s a programming language, though a special one that was meant to be calculated by hand instead!

That’s enough of a preface. What’s it actually look like? Well here’s how you write the numbers **0** through **3** in the lambda calculus:

And here’s an if-else-statement in the lambda calculus:

And here’s how you write a while-loop, call the Y-combinator!

Now, you’re probably looking at those and thinking “how are these numbers or if-statements or loops?” well they key to the lambda calculus is that it’s super-minimalist. Everything is a function in the lambda calculus. An *anonymous*, unnamed, function. This means you’re going to have to think really differently about what things like numbers mean.

If you’ve tried Python or JavaScript you may have seen anonymous functions before. In Python, they look like **lambda x: x * 3**. In JavaScript they look like:

function(x) {return x * 3};

Notice the literal word **lambda** in the Python example? Yeah, that’s a reference to the lambda calculus!

Now JavaScript and Python have other programming constructs and data in their programming language. The lambda calculus, on the other hand, is *only* its anonymous functions.

Numbers? Anonymous functions. Booleans? Anonymous functions. While-loops? Anonymous functions!

Everything is a function.

We can break the syntax of the lambda calculus into three pieces, then:

- defining functions
- applying functions
- using variables

Defining functions always looks like:

The lambda symbol signifies “hey, we’re starting to define a function”, by **x** we mean any letter, which is going to be the argument to the function, and the l means the body of the function.

Applying a function just means you write two (or more) things next to each other. So up above we have a part of a function that reads as:

The *body* of this function reads as “apply **f** to the result of applying **x** to **x**“.

Finally, you use a variable just by writing the variable. In our previous example, **x** is a use of the variable **x** we’ve set aside in the declaration:

Okay! So we’ve completely described how you write down lambda calculus programs, but how do you *run* them?

If the only thing in the language are functions then the only thing you could possibly do with these functions is call them! The fact that everything is a function in the lambda calculus can make it look more complicated than it is. Instead, let’s consider the following JavaScript expression:

(function(x) {return 2*x;})(10)

What happens when this code is run? It runs the body of the function with the argument x replaced by **10** everywhere. In this case, the function returns **20**.

Applying functions in the lambda calculus works exactly the same way! You just eat an argument and substitute it into the body of the function.

There’s only one weird edge case here:

What does this become? At first glance it looks like it might become:

But that’s not right because the two different variables named z have different scopes; in other words, they were defined in two different places. Going back to JavaScript this is like how the following program:

var y = 10; var funny = (function(x) {return (function(y){console.log(y*x)});})(y); funny(3);

This prints out 30 because the y you define on line 1 isn’t the same thing as the y in the function definition on line 2.

In the lambda calculus, though, there’s no automated system to keep track of scope and whether two variables just happen to have the same name but are different! Instead, there’s a rule in the lambda calculus that if variables would get confused like up above you just rename the offending variable.

So instead of:

Rename the z to something not already in use:

Now when you reduce this function you get:

There! That fixes the problem.

We’re finally ready to explain how in the world these functions count as numbers!

If you look at them you’ll see that each of these “numbers” follows a pattern: each takes two arguments, an s argument and a z argument. We define 0 as a function that throws away its s argument and returns its z argument unchanged. We define 1 as a function that applies its s argument once to its z argument. Similarly 2 and 3 are the functions that apply their s argument to their z argument two and three times, respectively.

Sounding it out, the idea is that a *natural number*, which is either zero or a positive whole number, represents the ability to do something multiple times. A kind of for-loop! The number 3 “is” the ability to do something, anything, three times. The number 0 means do nothing, leave things the same.

Okay, but you might be asking yourself “if these are numbers, how can I do math with them?” There’s actually a good answer for that!

We can start by explaining how to *add one* to a number in the lambda calculus. If a number *n* is “do something n times” then adding one means “do it one more time”. So that looks like:

Go ahead and try applying the function *addOne* to some of those numbers. Just try doing it pen & paper. You should see that it does exactly what we want.

Well if we can add one, then we can define addition! What’s addition, after all? It’s just writing adding one repeatedly! In other words, 5 + 4 “means” add one to four a total of five times. Luckily, we have something that means “do something repeatedly”: numbers!

This means that:

Again, if you try it out you can prove to yourself that addition really works *even when all you have is functions.*

There’s so much more to play with and learn about here, but we’ll leave this for now and instead I’ll say you should read the links provided and try making programs in the lambda calculus yourself!

### Learn More

#### A technically heavy but concise introduction

http://www.inf.fu-berlin.de/lehre/WS03/alpi/lambda.pdf

#### A very light metaphoric way of doing lambda calculus computations

http://worrydream.com/AlligatorEggs/

#### The wiki entry on the lambda calculus is actually really helpful

### Also In The October 2018 Issue

Create a fun adventure game with sprites using a retro fantasy computer.

Hide information in plain sight using a clever code and a good book.

Logic puzzles help develop reasoning skills useful for programming, computer science, and anything you might do.

Find perfect and fun gifts for your loved ones that teach STEAM concepts and skills.

From light-up bow-ties to conductive thread, you’ll be the life of the party with this STEAM-inspired gear.

A free online test service reveals how much personal data your web browser is giving away.

Add more tools to your command line arsenal, including running mini-scripts and making backup copies.

Use switches to take your robotic creations to the next level.

An old classic with a electronic twist, featuring JavaScript and micro:bit.

Create the American flag in SketchUp using this detailed tutorial.

From lasers to supernovas, Berboucha is making science communication a priority.

Code can always be improved. Check out these tips to make you the best programmer you can be!

It’s a programming language unlike any you’ve seen before. Check out this symbolic system designed for mathematical calculations.

It’s a game that’s obsessing the world. Harmful, or a potential gateway to new skills?

Some fun Python code that introduces you to the arcane world of event handling.

New, improved, faster, and sleeker - it’s Scratch 3, your new favourite block language!

Learn about the brilliant algorithm behind all of your GPS devices.

It’s free, comprehensive, and available on-the-go. This cool app helps you master Python faster than ever before.

Open up whole new worlds to explore through these interesting, diverse add-ons.

Links from the bottom of all the October 2018 articles, collected in one place for you to print, share, or bookmark.

Interesting stories about computer science, software programming, and technology for October 2018.