Nest some addition

Question

Lambda calculus is a system of computation based on single-argument functions; everything in it is such a function. Due to this functional nature, juxtaposition is commonly used to denote function application, grouped from left to right. For example, \$(f g) h=f g h\$ denotes what would conventionally be written \$(f(g))(h)=f(g)(h)\$.

Church numerals are a way of encoding the nonnegative integers in this system. They are defined as follows:
\$\begin{align*} \overparen{\underparen0} f &= \operatorname{id}\\ \overparen{\underparen 1} f &= f\circ\left(\overparen{\underparen 0} f\right)=f\\ \overparen{\underparen 2} f &= f\circ\left(\overparen{\underparen 1} f\right)=f\circ f\\ \vdots\\ \overparen{\underparen n} f &= f\circ\left(\overparen{\underparen{n-1}} f\right)\\ &=\underbrace{f\circ\cdots\circ f}_n, \end{align*}\$
where \$\circ\$ denotes function composition. In other words, the Church numeral \$\overparen{\underparen n}\$ can be seen as a unary operator on a function \$f\$ that nests that function \$n\$ times.

From here, we can define a binary operator (with two curried arguments) that performs addition on two Church numerals:
\$\begin{align*} \operatorname{add} \overparen{\underparen a} \overparen{\underparen b} f&= \overparen{\underparen{a+b}} f\\ &= \left(\overparen{\underparen a} f\right)\circ\left(\overparen{\underparen b} f\right). \end{align*}\$
That is, we nest \$f\$ \$b\$ times, then another \$a\$ times.

By definition, \$\operatorname{add} \overparen{\underparen a}\$ is a unary operator that, when applied to another Church numeral \$\overparen{\underparen b}\$, results in \$\overparen{\underparen{a+b}}\$. But what happens when we reverse the order, i.e. attempt to evaluate \$\overparen{\underparen a}\operatorname{add}\$? This resulting function has arity \$a+1\$, needed to expand out all the \$\operatorname{add}\$s in \$\underbrace{\operatorname{add}\circ\cdots\circ\operatorname{add}}_a\$.

Task

Given (optionally) an integer \$a\ge0\$, and another \$a+1\$ integers \$x_0,x_1,...,x_a\ge0\$, compute the integer \$n\$ such that \$\overparen{\underparen n}=\overparen{\underparen a} \operatorname{add} \overparen{\underparen{x_0}} \overparen{\underparen{x_1}}...\overparen{\underparen{x_a}}\$.

You probably will also need to know the multiplication and exponentiation rules:
\$\begin{align*} \overparen{\underparen{a\times b}} f&=\overparen{\underparen a} \left(\overparen{\underparen b} f\right)=\left(\overparen{\underparen a}\circ\overparen{\underparen b}\right)f\\ \overparen{\underparen{a^b}} f &= \overparen{\underparen b} \overparen{\underparen a} f. \end{align*}\$

Example

Take \$\overparen{\underparen 2} \operatorname{add} \overparen{\underparen 3} \overparen{\underparen 4} \overparen{\underparen 5}\$:
\$\begin{align*} \overparen{\underparen 2}\operatorname{add}\overparen{\underparen 3} \overparen{\underparen 4} \overparen{\underparen 5}&=(\operatorname{add}\circ\operatorname{add})\overparen{\underparen 3} \overparen{\underparen 4} \overparen{\underparen 5}\\ &=\operatorname{add}\left(\operatorname{add}\overparen{\underparen 3}\right)\overparen{\underparen4} \overparen{\underparen5}\\ &=\left(\operatorname{add}\overparen{\underparen 3} \overparen{\underparen 5}\right)\circ\left(\overparen{\underparen 4} \overparen{\underparen 5}\right)\\ &=\overparen{\underparen 8}\circ\overparen{\underparen{5^4}}\\ &=\overparen{\underparen{5000}} \end{align*}\$

Test cases

a   x           result
0   9           9
1   2,2         4
2   2,2,2       16
2   3,4,5       5000
2   7,1,8       120
3   1,4,1,5     30
3   2,2,2,2     4608
3   2,3,2,4     281483566645248

3   2,3,4,5     46816763546921983271558494138586765699150233560665204265260447046330870022747987917186358264118274034904607309686036259640294533629299381491887223549021168193900726091626431227545285067292990532905605505220592021942138671875
3   3,3,3,3     3381391913524056622394950585702085919090384901526970
4   2,2,2,2,2   120931970555052596705072928520380169054816261098595838432302087385002992736397576837231683301028432720518046696373830535021607930239430799199583347578199821829289137706033163667583538222249294723965149394901055238385680714904064687557155696189886711792068894677901980746714312178102663014498888837258109481646328187118208967028905569794977286118749919370644924079770214106530314724967825243764408114857106379963213188939126825992308882127905810306415158057997152747438230999039420121058243052691828798875998809865692983579259379718938170860244860482142976716892728044185832972278254093547581276129155886886086258355786711680193754189526351391221273418768272112491370597004152057820972058642174713955967404663467723362969481339278834627772126542657434779627861684834294203455419942997830922805201204107013187024101622800974572717408060065235993384198407691177770220323856866020553151446293957513282729090810520040166215232478427409757129336799823635731192497346452409939098243738098803206142762368603693303505732137119043739898807303126822830794424748280315330250324436290184499770851474706427973859450612731909450625705188122632367615184044521656851538649088840328591879043950831910516712687721046964100635071310295009799499919213218249505904439261442688728313586685099505945191069266179018225279933007599239168

Answer 1

Flurry, 28 bytes

({}){{}{}}[{}{<><<>(){}>}]{}

A language based on untyped lambda calculus is certainly the right tool here :)

Takes input in the order of xa xa-1 ... x1 x0 a, and evaluates to the Church value of the required expression.

({})      pop a; evaluate to a; push back a
{{}{}}    \x. x (pop), which takes a function and applies one item from stack
          a (\x. x (pop)) [...] evaluates to [...] x0 x1 ... xa-1
[{}       the expression (a add)
   {<><<>(){}>}  add = \x. S (S . K . x)
]
          so far, the result is (a add x0 x1 ... xa-1)
{}        finally, pop xa and apply to the above

Test script:

Compare-Object (.\Flurry.exe -nin src.txt 9 0) 9
Compare-Object (.\Flurry.exe -nin src.txt 2 2 1) 4
Compare-Object (.\Flurry.exe -nin src.txt 2 2 2 2) 16
Compare-Object (.\Flurry.exe -nin src.txt 5 4 3 2) 5000
Compare-Object (.\Flurry.exe -nin src.txt 8 1 7 2) 120
Compare-Object (.\Flurry.exe -nin src.txt 5 1 4 1 3) 30
Compare-Object (.\Flurry.exe -nin src.txt 2 2 2 1 3) 4352
Compare-Object (.\Flurry.exe -nin src.txt 2 2 2 0 3) 4096
Compare-Object (.\Flurry.exe -nin src.txt 2 2 2 2 3) 4608

Answer 2

Haskell, 54 bytes

x#y|(a,b)<-foldl(\(a,b)c->(c^b,(c^b)^a))(0,1)y=(x+a)*b

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Takes input as \$x_0 \# [x_1,\dots,x_a]\$.

---

Abusing the notation, we have:

\$0 \operatorname{add} x_0 = x_0 = (x_0 + 0) \times 1\$.

If we have

\$(n-1) \operatorname{add} x_0 \cdots x_{n-1} = (x_0 + a_{n-1}) \times b_{n-1}\$,

then:

\$\begin{align} n \operatorname{add} x_0 \cdots x_n &= (n-1) \operatorname{add} (\operatorname{add} x_0) x_1 \cdots x_{n-1} x_n \\ &= (((\operatorname{add} x_0) + a_{n-1}) \times b_{n-1}) x_n \\ &= ((\operatorname{add} (\operatorname{add} x_0) a_{n-1}) \circ b_{n-1}) x_n \\ &= \operatorname{add} (\operatorname{add} x_0) a_{n-1} (b_{n-1} x_n) \\ &= (\operatorname{add} x_0 (b_{n-1} x_n)) \circ (a_{n-1} (b_{n-1} x_n)) \\ &= (x_0 + {x_n}^{b_{n-1}}) \times ({x_n}^{b_{n-1}})^{a_{n-1}} \\ &= (x_0 + a_n) \times b_n \end{align} \$

where:

\$a_n = {x_n}^{b_{n-1}}, b_n = ({x_n}^{b_{n-1}})^{a_{n-1}}\$.

Answer 3

PARI/GP, 47 bytes

x->[[a,b]=[t=c^b,t^a]|c<-x[^b=!a=0]];(x[1]+a)*b

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A port of my Haskell answer. Takes input as \$[x_0,x_1,\dots,x_n]\$.

Answer 4

Lambda calculus, 51 characters (or 73 bits)

The function takes two arguments (in curried form as usual): the first argument is a as a Church numeral, and the second argument is a list of Church numerals.

\a\l l(\h\t\f t(f h))(\f f)(a(\m\n\f\x m f(n f x)))

Or in the binary lambda calculus encoding:

0000010101100000000111001101110001001110000000000101111101100101111011010

In lambda calculus, the standard representation of a list is: e.g. the list [a, b, c] is represented by \$\lambda x . \lambda y . x~a~(x~b~(x~c~y))\$. (As a mnemonic, I like to think of the case where \$x = \mathrm{cons}\$ and \$y = \mathrm{nil}\$.) In other words, in lambda calculus, a list is its "fold-right" operation.

Now, if we have a list \$l\$, the expression \$l ~ (\lambda h . \lambda t . \lambda f . t ~ (f ~ h)) ~ (\lambda f . f)\$ builds up an "apply" operation. For example, in the case \$l = [a, b, c]\$, it evaluates to \$\lambda f . f ~ a ~ b ~ c\$. (To see this, for example: $$ [a, b, c] (\lambda h . \lambda t . \lambda f . t ~ (f ~ h)) ~ (\lambda f . f) = \\ (\lambda h . \lambda t . \lambda f . t ~ (f ~ h)) ~ a ~ ([b, c] (\lambda h . \lambda t. t ~ (f ~ h)) ~ (\lambda f . f)) = \\ (\lambda h . \lambda t . \lambda f . t ~ (f ~ h)) ~ a ~ (\lambda f . f ~ b ~ c) = \\ \lambda f . ((\lambda f . f ~ b ~ c) (f ~ a)) = \\ \lambda f . f ~ a ~ b ~ c$$ where from the second line to the third we applied an inductive hypothesis on the case \$l = [b, c]\$. For the base case, the empty list is \$l = [] = \lambda x . \lambda y . y\$, so \$l ~ (\lambda h . \lambda t . \lambda f . t ~ (f ~ h)) ~ (\lambda f . f) = \lambda f . f\$. Alternatively, you can see this as a special case of how in general you would write a fold-left operation on lists in terms of the fold-right operation.)

From here, what we want is simply: \$\lambda a . \lambda l . \mathrm{apply} ~ (a ~ \mathrm{add}) ~ l\$. Substituting \$\mathrm{apply} = \lambda f . \lambda l . l (\lambda h . \lambda t . \lambda f . t ~ (f ~ h)) ~ (\lambda f . f) ~ f\$, and \$\mathrm{add} = \lambda m . \lambda n . \lambda f . \lambda x . m ~ f ~ (n ~ f ~ x)\$ gives the final expression above.

Answer 5

JavaScript (Node.js),  65  56 bytes

Saved 7 bytes thanks to @tsh

This is really just a port of alephalpha's algorithm.

Expects (n)(x), where x is an array of BigInts.

x=>x[x.map((v,i)=>[a,b]=i?[v**=b,v**a]:[0n,1n]),0]*b+a*b

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Or 54 bytes without BigInts:

x=>x[x.map((v,i)=>[a,b]=i?[v**=b,v**a]:[0,1]),0]*b+a*b

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