starting second section of Naturals
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permalink : /Naturals
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---
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The night sky holds more stars than I can count, though less than five
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thousand are visible to the naked sky. The observable universe
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contains about seventy sextillion stars.
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But the number of stars is finite, while natural numbers are infinite.
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Count all the stars, and you will still have as many natural numbers
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left over as you started with.
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## The naturals are an inductive datatype
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Our first example of an inductive datatype is ℕ, the natural numbers.
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Everyone is familiar with the natural numbers:
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0
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1
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2
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3
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...
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and so on. We write `ℕ` for the *type* of natural numbers, and say that
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`0`, `1`, `2`, `3`, and so on are *values* of type `ℕ`. In Agda,
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we indicate this by writing
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0 : ℕ
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1 : ℕ
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2 : ℕ
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3 : ℕ
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...
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and so on.
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The set of natural numbers is infinite, yet we can write down
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its definition in just a few lines. Here is the definition
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as a pair of inference rules:
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--------
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zero : ℕ
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n : ℕ
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---------
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suc n : ℕ
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And here is the definition in Agda:
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\begin{code}
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data ℕ : Set where
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zero : ℕ
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suc : ℕ → ℕ
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\end{code}
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Here `ℕ` is the name of the *datatype* we are creating,
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Here `ℕ` is the name of the *datatype* we are defining,
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and `zero` and `suc` (short for *successor*) are the
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*constructors* of the datatype.
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### Inductive datatypes in detail
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Both definitions above tell us the same two things:
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Let's unpack this definition. The keyword `data` tells us this is an
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1. The term `zero` is a natural number.
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2. If `n` is a natural number, then the term `suc n` is also a natural number.
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Further, these two rules give the *only* ways of creating natural numbers.
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Hence, the possible natural numbers are
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zero
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suc zero
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suc (suc zero)
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suc (suc (suc zero))
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...
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We write `0` as shorthand for `zero`; and `1` is shorthand
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for `suc zero`, the successor of zero, that is, the natural that comes
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after zero; and `2` is shorthand for `suc (suc zero)`, which is the
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same as `suc 1`, the successor of one; and `3` is shorthand for the
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successor of two; and so on.
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### Unpacking the inference rules
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Let's unpack the inference rules. Each inference rule consists of zero
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or more *judgments* written above a horizontal line, called the *hypotheses*,
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and a single judgment written below, called the *conclusion*.
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The first rule has no hypotheses, and the conclusion asserts that zero
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is a natural. The second rule has one hypothesis, which assumes that
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`n` is a natural number, and the conclusion asserts that `suc n` is a
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natural number.
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### Unpacking the Agda definition
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Let's unpack the Agda definition. The keyword `data` tells us this is an
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inductive definition, that is, that we are defining a new datatype
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with constructors. The phrase
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tell us that `zero` is a natural number and that `suc` takes a natural
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number as argument and returns a natural number.
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Here `ℕ` and `→` are special symbols, meaning that you won't find them
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on your keyboard. At the end of each chapter is a list of all the
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special symbols, including instructions on how to type them in the
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Here `ℕ` and `→` are unicode symbols that you won't find on your
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keyboard. At the end of each chapter is a list of all the unicode used
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in the chapter, including instructions on how to type them in the
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Emacs text editor.
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### How inductive datatypes work
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The values of type `ℕ` are called natural numbers.
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The two lines defining constructors tell us the following:
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### The story of creation
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Let's look again at the definition of natural numbers:
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1. The term `zero` is a natural number.
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2. If `n` is a natural number, then `suc n` is also a natural number.
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2. If `n` is a natural number, then the term `suc n` is also a natural number.
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Hence, the possible natural numbers are
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Wait a minute! The second line appears to be defining natural numbers
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in terms of natural numbers. How can that posssibly be allowed?
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zero
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suc zero
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suc (suc zero)
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suc (suc (suc zero))
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In fact, it is possible to assign this a non-circular meaning.
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Furthermore, we can do so while only working with *finite* sets and never
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referring to the entire *infinite* set of natural numbers.
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and so on.
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This definition is *recursive* in that it defines the concept of
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"natural number" in terms of the concept of "natural number". How can
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this possibly be a sensible thing to do? One way to think of this is
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as a creation story. To start with, we know about no natural numbers
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at all.
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We will think of it as a creation story. To start with, we know about
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no natural numbers at all.
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-- in the beginning there are no natural numbers
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@ -98,26 +166,134 @@ the first of these, but the second is new.
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suc zero
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suc (suc zero)
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You've probably got the hang of it by now.
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-- on the fourth day, there are four natural numbers
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zero
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suc zero
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suc (suc zero)
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suc (suc (suc zero))
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The process continues. On the *n*th day there will be *n* distinct
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natural numbers. Note that in this way, we only talk about finite sets
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of numbers. Every number will appear on some given finite day. In
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particular, the number *n* first appears on day *n+1*. And we never
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actually define the set of numbers in terms of itself. Instead, we define
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the set of numbers on day *n+1* in terms of the set of numbers on day *n*.
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of numbers. Every natural number will appear on some given finite
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day. In particular, the number *n* first appears on day *n+1*. And we
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never actually define the set of numbers in terms of itself. Instead,
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we define the set of numbers on day *n+1* in terms of the set of
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numbers on day *n*.
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A process like this one is called *inductive*. We start with nothing, and
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build up a potentially infinite set by applying rules that convert one
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finite set into another finite set.
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The rule defining zero is called a *base case*, because it introduces
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a natural number even when we know no other natural numbers. The rule
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defining successor is called an *inductive case*, because it
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introduces more natural numbers once we already know some. Note the
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crucial role of the base case. If we only had inductive rules, then
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we would have no numbers in the beginning, and still no numbers on the
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second day, and on the third, and so on. An inductive definition lacking
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a base case is useless, as in the phrase "Brexit means Brexit".
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### Pragmas
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A philosopher might note that our reference to the first day, second
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day, and so on, implicitly involves an understanding of natural
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numbers. In this sense, our definition might indeed be regarded as in
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some sense circular. We won't worry about the philosophy, but are ok
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with taking some intuitive notions---such as counting---as given.
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While the natural numbers have been understood for as long as people
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could count, this way of viewing the natural numbers is relatively
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recent. It can be traced back to Richard Dedekind's paper "*Was sind
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und was sollen die Zahlen?*" (What are and what should be the
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numbers?), published in 1888, and Giuseppe Peano's book "*Arithmetices
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principia, nova methodo exposita*" (The principles of arithmetic
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presented by a new method), published the following year.
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### The `NATURAL` pragma
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In Agda, any line beginning `--`, or any code enclosed between `{-`
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and `-}` is considered a *comment*. Comments have no effect on the
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code, with the exception of one special kind of comment, called a
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*pragma*, which is enclosed between `{-#` and `#-}`.
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Including the line
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\begin{code}
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{-# BUILTIN NATURAL ℕ #-}
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\end{code}
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tells Agda that `ℕ` corresponds to the natural numbers, and hence one
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is permitted to type `0` as shorthand for `zero`, `1` as shorthand for
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`suc zero`, `2` as shorthand for `suc (suc zero)`, and so on.
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As well as enabling the above shorthand, the pragma also enables a
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more efficient internal representation of naturals as the Haskell type
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`Integer`. Whereas representing the natural *n* with `suc` and `zero`
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require space proportional to *n*, represeting it as an integer in
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Haskell only requires space proportional to the logarithm of *n*.
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## Operations on naturals are recursive functions
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Now that we have the natural numbers, what can we do with them?
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An obvious first step is to define basic operations such as
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addition and multiplication.
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As a child I spent much time memorising tables of addition and
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multiplication. At first the rules seemed tricky and I would often
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make mistakes. So it came as a shock to realise that all of addition
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can be precisely defined in just a couple of lines, and the same is true of
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multiplication.
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Here is the definition of addition in Agda:
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\begin{code}
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_+_ : ℕ → ℕ → ℕ
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zero + n = n
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(suc m) + n = suc (m + n)
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\end{code}
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This definition is *recursive*, in that the last line defines addition
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(of `suc m` and `n`) in terms of addition (of `m` and `n`).
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As with the inductive definition of the naturals, the apparent
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circularity is not a problem. It works because addition of larger
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numbers is defined in terms of addition of smaller numbers. For
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example, let's add two and three.
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2 + 3
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= { expand shorthand }
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(suc (suc zero)) + (suc (suc (suc zero)))
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= { by the second equation, with m = suc zero and n = suc (suc (suc zero)) }
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suc ((suc zero) + (suc (suc (suc zero))))
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= { by the second equation, with m = zero and n = suc (suc (suc zero)) }
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suc (suc (zero + (suc (suc (suc zero)))))
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= { by the first equation, with n = suc (suc (suc zero)) }
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suc (suc (suc (suc (suc zero))))
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= { compress shorthand }
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5
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Or, more succintly,
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2 + 3
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=
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suc (1 + 3)
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=
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suc (suc (0 + 3))
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=
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suc (suc 3)
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=
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5
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Indeed, the reasoning that justifies inductive and
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recursive definitions is quite similar, and they might be considered
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as two sides of the same coin.
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## Equality on naturals is also an inductive datatype
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## Proofs over naturals are also recursive functions
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