Derivation of the Y-Combinator - lambda-calculus

While going through this article about Y-combinator (which I highly recommend), I stumbled over this transformation :
(define Y
(lambda (f)
((lambda (x) (x x))
(lambda (x) (f (x x))))))
Note that we can apply the inner lambda expression to its argument to get an equivalent version of Y:
(define Y
(lambda (f)
((lambda (x) (f (x x)))
(lambda (x) (f (x x))))))
Could someone please explain me how did we get to the second version of Y? Which steps did we follow to get there?

You are applying (lambda (x) (x x))(lambda (x) (f (x x)))
Do the application to get (lambda (x) (f (x x))(lambda (x) (f (x x))
Notice the left lambda creates 2 copies of its argument, which is the right lambda.

Related

Re-writing church numerals function

In SICP it defines the church numerals for positive numbers as follows:
(define zero (lambda (f) (lambda (x) x)))
(define (add-1 n)
(lambda (f) (lambda (x) (f (n f) x))))
The following is my 'best attempt' to rewrite this for my own understanding, here passing explicit arguments to one function:
(define (church f x n)
(cond
((= n 0) x) ; zero case: return x
(else (f (church f x (- n 1)))))) ; otherwise f(f(f...(x))) n times
(church square 3 2)
81
And then redefining zero I would have:
(define (zero2 f)
(lambda (x) (church f x 0)))
And add-one as:
(define (add-1 n f)
(lambda (x) (church f x (+ n 1))))
Or, if we have to defer the f argument then adding a wrapper-lambda:
(define (add-1 n)
(lambda (f) (lambda (x) (church f x (+ n 1)))))
Do I have a correct understanding of this? if so, why the oh-so-complicated-syntax at the top for the add-1 or zero procedures (note: I'm guessing it's not that complicated and I'm just not fully understanding what it's doing). Any help would be greatly appreciated!
lambda calculus is a sub set of Scheme that does not allow more than one argument and lambda. With combinations of lambdas you can make any construct:
(define false (lambda (true) (lambda (false) false)))
(define true (lambda (true) (lambda (false) true)))
(define if (lambda (pred) (lambda (consequence) (lambda (alternative) ((pred consequence) alternative)))))
You might be wondering why I allow define since it isn't lambda. Well you don;t need it. It is just for convenience since with it you can try it out:
(((if true)
'result-true)
'result-false)
; ==> result-true
Instead of using the totally equal version:
((lambda (pred)
(lambda (consequence)
(lambda (alternative)
((pred consequence) alternative))))
(lambda (true) (lambda (false) true))
'result-true
'result-false)
Your function church is not lambda calculus since it does not return a church number and it takes more than one argument which is a violation. I have seen scheme functions to produce chuck numbers but any chuck number you should be able to do this to get the integer value:
((church-number add1) 0)
eg. zero:
(((lambda (f) (lambda (x) x)) add1) 0) ; ==> 0
Your version presupposes the existence of primitives like cond, 0, 1, =, and -. The point of all this is to show that you can implement such primitives starting from nothing but lambda.
SICP defines the Church numerals for positive numbers as follows:
(define zero (lambda (f) (lambda (x) x)))
(define (add-1 n)
(lambda (f) (lambda (x) (f (n f) x))))
No, it doesn't. The correct definitions are
(define zero (lambda (f) (lambda (x) x)))
(define (add-1 n)
(lambda (f) (lambda (x) (f ((n f) x)))))
f is a "successor step", and x is "zero value".
(f ((n f) x)) means, do with f and x whatever n would be doing with f and x, and then do f one more time to the result.
In other words, transform the "zero value" with the "successor step" function one more times than n would be transforming it.
Now,
> ((zero add1) 0)
0
> (((add-1 zero) add1) 0)
1
> (((add-1 (add-1 zero)) add1) 0)
2
etc. Or,
> (define plus1 (lambda (x) (cons '() x)))
> ((zero plus1) '(NIL))
'(NIL)
> (((add-1 zero) plus1) '(NIL))
'(() NIL)
> (((add-1 (add-1 zero)) plus1) '(NIL))
'(() () NIL)
Hopefully you can see how the Church numbers could be defined as binary functions as well:
(define zero (lambda (f x) x))
(define (add-1 n)
(lambda (f x) (f (n f x))))
(define plus1 (lambda (x) (cons '() x)))
(zero add1 0) ;=> 0
((add-1 zero) add1 0) ;=> 1
((add-1 (add-1 zero)) add1 0) ;=> 2
(zero plus1 '(NIL)) ;=> '(NIL)
((add-1 zero) plus1 '(NIL)) ;=> '(() NIL)
((add-1 (add-1 zero)) plus1 '(NIL)) ;=> '(() () NIL)
producing the same results as before.

Why is it returning this?

I am trying to use lambda, but when I test it in the console, it returns #<procedure:...esktop/Lab 4.rkt:105:2>.
My code is
(define (comp f g)
(lambda (x) (f (g x))))
And my test code is
(comp (lambda (x) (+ x 1)) 3)
For some reason, lambda is deferring the evaluation. Can someone please help?
comp takes two function arguments and returns a new function - their
composition:
(define (comp f g)
(lambda (x) (f (g x))))
;Value: comp
To test it, one has to call it on a number:
((comp (lambda (x) (+ x 1))
(lambda (x) (+ x 2)))
3)
;Value: 6

temporarily overwrite a globally defined function in Scheme let block?

suppose I have the following functions:
(define (g x) (f x))
(define (f x) (+ 1 x))
I would like to temporarily call g with a different f. For example, something like this:
(let ((f (lambda (x) (+ 2 x))))
(g 5))
I would like the code above to evaluate to 7, but it doesn't. Instead, it evaluates to 6, since g calls the f outside the scope of the let.
Is there a way to do this without redefining g inside the let, and without inlining the entire body of the definition of g in the let? (In practice, g may be a very large, complicated function).
What you are asking for is dynamic rather than lexical binding of 'f'. R6RS and R7RS support this with parameters. This will do what you want:
(define f (make-parameter (lambda (x) (+ 1 x))))
(define (g x) ((f) x))
(display (g 5))(newline)
(parameterize ((f (lambda (x) (+ 2 x))))
(display (g 5))(newline))
I'm not sure that you can, but I'm by no means a Scheme expert.
I realise that you're trying to achieve this without redefining g inside the let, but how about:
(define (h f x) (f x))
(define (g x) (h f x))
(define (f x) (+ 1 x))
(let ((f (lambda (x) (+ 2 x))))
(h f 5))
That way, you preserve the behaviour of g where it's currently being called. But where you want to temporarily have a different behaviour, you can call h instead.
A bit more code for clarification:
(let ((f (lambda (x) (+ 2 x))))
(display (g 5)) ; 6
(newline)
(h f 5)) ; 7
You could use an optional parameter in g to pass the f from the let expression.
(define (g x . args)
(if (null? args)
(f x)
((car args) x)))
and
(let ((f (lambda (x) (+ 2 x))))
(g 5 f))
I found a way to do exactly what I wanted, although I have a feeling many people will not consider this kosher:
(define (g x) (f x))
(define (f x) (+ 1 x))
(let ((old-f f))
(set! f (lambda (x) (+ 2 x)))
(let ((ans (g 5)))
(set! f old-f)
ans))
; -> 7
(g 5) ; -> 6
edit In response to the comment below, I wasn't even aware that fluid-let was a thing. It even already works on MIT-Scheme. That's actually exactly what I needed. If commenter below posts something like this as an answer, it will be made the accepted answer:
(define (g x) (f x))
(define (f x) (+ 1 x))
(fluid-let ((f (lambda (x) (+ x 2))))
(g 5)) ; -> 7
(g 5) ; -> 6

Understanding extra arguments in the Y Combinator in Scheme

According to RosettaCode, the Y Combinator in Scheme is implemented as
(define Y
(λ (h)
((λ (x) (x x))
(λ (g)
(h (λ args (apply (g g) args)))))))
Of course, the traditional Y Combinator is λf.(λx. f(x x))(λx. f(x x))
My question, then, is about h and args, which don't appear in the mathematical definition, and about apply, which seems like it should either be in both halves of the Combinator or in neither.
Can someone help me understand what is going on here?
Lets start off with the lambda calculus version traslated to Scheme:
(λ (f)
((λ (x) (f (x x)))
(λ (x) (f (x x)))))
I'd like to simplify this since I see (λ (x) (f x x)) is repeated twice. You can substitute the beginning there to this:
(λ (f)
((λ (b) (b b))
(λ (x) (f (x x)))))
Scheme is an eager language so it will go into an infinite loop. In order to avoid that we make a proxy.. Imagine you have + that takes two numbers, you can substitute it with (λ (a b) (+ a b)) without the result being changed. Lets do that with the code:
(λ (f)
((λ (b) (b b))
(λ (x) (f (λ (p) ((x x) p))))))
Actully this has its own name. It's called the Z combinator. (x x) is not done when f is applied only when the supplied proxy is applied. Delayed one step. It might look strange but I know (x x) becomes a function so this is exactly the same as my + substitution above.
In Lambda calculus all functions takes one argument. If you see f x y it's actually the same as ((f x) y) in Scheme. If you want it to work with functions of all arities your substitution needs to reflect that. In Scheme we have rest arguments and apply to do this.
(λ (f)
((λ (b) (b b))
(λ (x) (f (λ p (apply (x x) p))))))
This isn't neede if you only are going to use one arity functions as in lambda calculus.
Notice that in your code you use h instead of f. It doesn't really matter what you call the variables. This is the same code with different names. So this is the same:
(λ (rec-fun)
((λ (yfun) (yfun yfun))
(λ (self) (rec-fun (λ args (apply (self self) args))))))
Needless to say (yfun yfun) and (self self) does the same thing.

Y Combinator implementation Scheme

I am really new to scheme functional programming. I recently came across Y-combinator function in lambda calculus, something like this Y ≡ (λy.(λx.y(xx))(λx.y(xx))). I wanted to implement it in scheme, i searched alot but i didn't find any implementation which exactly matches the above given structure. Some of them i found are given below:
(define Y
(lambda (X)
((lambda (procedure)
(X (lambda (arg) ((procedure procedure) arg))))
(lambda (procedure)
(X (lambda (arg) ((procedure procedure) arg)))))))
and
(define Y
(lambda (r)
((lambda (f) (f f))
(lambda (y)
(r (lambda (x) ((y y) x)))))))
As you can see, they dont match with the structure of this Y ≡ (λy.(λx.y(xx))(λx.y(xx))) combinator function. How can I implement it in scheme in exactly same way?
In a lazy language like Lazy Racket you can use the normal order version, but not in any of the applicative order programming languages like Scheme. They will just go into an infinite loop.
The applicative version of Y is often called a Z combinator:
(define Z
(lambda (f)
((lambda (g) (g g))
(lambda (g)
(f (lambda args (apply (g g) args)))))))
Now the first thing that happens when this is applied is (g g) and since you can always substitute a whole application with the expansion of it's body the body of the function can get rewritten to:
(define Z
(lambda (f)
((lambda (g)
(f (lambda args (apply (g g) args))))
(lambda (g)
(f (lambda args (apply (g g) args)))))))
I haven't really changed anything. It's just a little more code that does exactly the same. Notice this version uses apply to support multiple argument functions. Imagine the Ackermann function:
(define ackermann
(lambda (m n)
(cond
((= m 0) (+ n 1))
((= n 0) (ackermann (- m 1) 1))
(else (ackermann (- m 1) (ackermann m (- n 1)))))))
(ackermann 3 6) ; ==> 509
This can be done with Z like this:
((Z (lambda (ackermann)
(lambda (m n)
(cond
((= m 0) (+ n 1))
((= n 0) (ackermann (- m 1) 1))
(else (ackermann (- m 1) (ackermann m (- n 1))))))))
3
6) ; ==> 509
Notice the implementations is exactly the same and the difference is how the reference to itself is handled.
EDIT
So you are asking how the evaluation gets delayed. Well the normal order version looks like this:
(define Y
(lambda (f)
((lambda (g) (g g))
(lambda (g) (f (g g))))))
If you look at how this would be applied with an argument you'll notice that Y never returns since before it can apply f in (f (g g)) it needs to evaluate (g g) which in turn evaluates (f (g g)) etc. To salvage that we don't apply (g g) right away. We know (g g) becomes a function so we just give f a function that when applied will generate the actual function and apply it. If you have a function add1 you can make a wrapper (lambda (x) (add1 x)) that you can use instead and it will work. In the same manner (lambda args (apply (g g) args)) is the same as (g g) and you can see that by just applying substitution rules. The clue here is that this effectively stops the computation at each step until it's actually put into use.

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