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The Böhm tree of an unsolvable lambda term is $\perp$. If $M{\to }_{\beta }^{\ast }\lambda x_1\cdots x_n.y{M}_1\cdots M_r$ is a head normal form, its Böhm tree has root label $\lambda x_1\cdots x_n.y$ and ordered children $BT(M_1),\dots ,BT(M_r)$. The tree may be infinite. Church-Rosser theorem and alpha equivalence make this independent of the selected head reduct.

Every partial computable function is represented on Church numerals by a closed untyped lambda calculus term. First represent all primitive recursive functions using zero, successor, projections, composition and lambda definition of primitive recursion by pair iteration. Apply the Kleene normal form theorem and search successive history codes with a fixed-point combinator. Test the represented total predicate using a Church numeral zero test; return the decoded output only on the true branch. If no history passes, normal-order head reduction continues the search indefinitely and the term has no head normal form, so cannot be in beta equivalence with a Church numeral. This avoids the incorrect assumption that a lazy outer function must evaluate a divergent argument in an unguarded composition.

A fixed-point combinator is a closed lambda term $Z$ such that $ZF{\equiv }_{\beta }F(ZF)$ for every lambda term $F$. It suffices to check this for a fresh free variable $f$, since capture-avoiding substitution then gives every instance. TakeIf $GZ{\equiv }_{\beta }Z$, applying both sides to $f$ gives $Zf{\equiv }_{\beta }f(Zf)$. Conversely suppose $Z$ is a fixed-point combinator. Its application to a fresh $f$ has a head normal form, because it is beta equivalent to $f(Zf)$. Since $Z$ is closed, head reduction of $Zf$ must first expose a lambda abstraction in $Z$ itself. Thus $Z{\to }_{\beta }^{\ast }\lambda u.P$, andThis establishes the needed abstraction equality by beta reduction, without assuming eta conversion. Abstracting $Zf{\equiv }_{\beta }f(Zf)$ now gives $Z{\equiv }_{\beta }\lambda f.f(Zf){\equiv }_{\beta }GZ$.

Two examples are the Curry fixed-point combinator and the Turing fixed-point combinator:Writing $A_f=\lambda x.f(xx)$, we have $Yf{\to }_{\beta }{A}_f{A}_f{\to }_{\beta }f(A_f{A}_f){\equiv }_{\beta }f(Yf)$, while $\Theta f{\to }_{\beta }^{2}f(\Theta f)$. Different displayed syntax alone would not prove that the two combinators are distinct under beta equivalence. Here is a reduct invariant that does. Every finite reduct of $Y$ is $\lambda f.f^n(A_f{A}_f)$, up to alpha equivalence: $A_f$ is beta-normal and the one remaining beta-redex is its self-application. No such reduct contains the closed subterm $DD$.

Every finite reduct of $\Theta$, in contrast, retains a closed subterm $DD$. The contraction $DD\to \lambda f.f(DDf)$ recreates one. The only other redexes created by these expansions are abstractions applied to variables; contracting them substitutes a variable, so preserves any closed $DD$ inside their bodies. This describes all redexes inductively: expansion inserts only a variable-headed application and a copy of $DD$, and a variable substitution preserves that description. Thus every finite reduct contains $DD$. A common reduct of $Y$ and $\Theta$ is impossible, so the Church-Rosser theorem proves $Y/{\equiv }_{\beta }\Theta$.

Finally put $P=ZK$, with $K=\lambda xy.x$. The fixed-point combinator equation giveswhere $y$ is fresh. If $P$ had a head normal form with $n$ leading abstractions, then $\lambda y.P$ would have one with $n+1$. A reduct of a head normal form preserves its initial abstraction count and variable-headed spine: only its argument subterms can still contract. These two head normal forms therefore cannot have a common reduct, contradicting the Church-Rosser theorem. Hence $ZK$ is unsolvable.

Let $x_1,\dots ,x_s$ contain all free variables of $M$. The lambda term $M$ is a solvable lambda term if there are closed lambda terms $P_1,\dots ,P_k$ such thatAdditional arguments beyond the first $s$ are allowed. A head normal form is a term $\lambda u_1\cdots u_n.y{M}_1\cdots M_r$ with a variable at the head; its arguments need not be beta-normal.

If $M$ reduces to this head normal form, close its free variables and supply every resulting initial binder with the same closed projection(take $P=I$ when $r=0$). The head variable becomes $P$ and discards all $r$ argument terms, even divergent ones, leaving $I$. Thus a head normal form implies solvability.

Conversely suppose a closure and applications of $M$ yield $I$. The standardization theorem for beta reduction supplies a finite successful head-reduction sequence. Until $M$ exposes a head variable, its head contractions lie within $M$: a closing substitution cannot create a new head redex there, and supplied arguments cannot be used until an initial abstraction is exposed. Each such contraction commutes with the closing capture-avoiding substitution. Project the successful head computation back onto $M$, ignoring contractions in supplied arguments and the consumption of its initial binders. If this projected head computation did not reach a variable-headed spine, the full computation could not reach $I$ either. It therefore gives a finite head reduction of $M$ to a head normal form. ConsequentlyThe same head-trace argument shows that an unsolvable lambda term stays unsolvable under substitution and application. This also justifies the unsolvability conclusion in the preceding solution.

The Böhm tree $BT(M)$ is $\perp$ if $M$ is an unsolvable lambda term. Otherwise choose a head normal formIts root is labeled by the binder prefix and head variable, and its ordered children are $BT(M_1),\dots ,BT(M_m)$. Repeat recursively, possibly forever. Bound names are identified by alpha equivalence; the Church-Rosser theorem makes this tree independent of the selected head reduct. An address $\alpha$ is a finite sequence of child numbers; $M_{\alpha }$ denotes the corresponding argument term encountered after these head reductions.

A Böhm transformation is a finite composition of capture-avoiding substitutions and applications to chosen auxiliary terms. Here is a constructive Böhm-out lemma. Along the finite path to $\alpha$, choose $q$ at least the number of children of each preceding head node, and defineInitially replace all relevant free variables by $U_q$. At a head node with $n$ initial binders and $m$ children, supply its $n$ binders with $U_q$. Its head is now $U_q$ and its arguments are the substituted children $N_1,\dots ,N_m$. Apply $q-m$ extra copies of $U_q$ as padding and then $P_i^q$. Direct beta reduction givesRepeat with the next child number. The term reached at each stage is the selected original child with the accumulated substitutions for its ancestors' binders. Thus the finite composite $\pi$ satisfies $M\pi {\equiv }_{\beta }{M}_{\alpha }\sigma$ for a suitable substitution $\sigma$. The empty path uses the identity transformation. Tupling, rather than immediately replacing a head variable by a fixed projection, is important: the same variable can occur later where a different child must be selected.

For the Böhm separation theorem, two distinct closed normal forms for both beta reduction and eta conversion have finite Böhm trees with a genuine disagreement in a head label or argument structure. A Böhm transformation first extracts their common-prefix node. Projections at a differing head variable select different supplied Church Booleans; differing arities are handled by padding, with the exclusion of mere eta expansions ensuring a genuine disagreement. This yields a context separating the two normal forms. Distinct beta-normal forms that differ only by eta conversion are not covered by this separation statement.

The PDF prints a free $\alpha$ in both the definitions of $K$ and $\mathsf{T}$. Taken literally, this makes the last request impossible. To see why, suppose $M{K}_{\alpha }{\equiv }_{\beta }{K}_{\alpha }$, where $K_{\alpha }=\lambda xy.\alpha$, and choose a fresh $f$. By solvability and its stability under substitution, $Mf$ has a head normal form $\lambda x_1\cdots x_n.h{P}_1\cdots P_r$. If $h\ne f$, substituting either $K_{\alpha }$ or $S$ leaves the same variable-headed spine; it cannot be $K_{\alpha }$ in one case and $\mathsf{F}$ in the other. If $h=f$, obtaining $K_{\alpha }$ requires $r\le 2$ and $n+2-r=2$, hence $n=r$. Substituting $S=\lambda xyz.xz(yz)$ then leaves at least $n+3-r=3$ leading abstractions, whereas $\mathsf{F}$ has two. A variable-headed normal form cannot lose initial abstractions under beta reduction. The Church-Rosser theorem rules out the required equality.

For the intended closed first projection $K=\mathsf{T}=\lambda xy.x$ and $\mathsf{F}=\lambda xy.y=KI$, an explicit answer isIndeed $MK{\to }_{\beta }^{\ast }(KK)I{\to }_{\beta }K=\mathsf{T}$, whereas $MS{\to }_{\beta }^{\ast }(KK)I((KI)I){\to }_{\beta }KI=\mathsf{F}$. These computations solve the corrected closed-combinator version while identifying the obstruction in the literal printed one.

In the simply typed lambda calculus, types are generated from atomic types by the arrow constructor $A\to B$. A typed lambda term is a lambda term equipped with a derivation of a judgement $\Gamma ⊢t:A$, where the context assigns types to its free variables. The basic typing rules areThe Implicational Curry-Howard correspondence reads atomic types as propositions and $A\to B$ as logical implication. A typed variable is an assumption, abstraction is the implication introduction rule discharging that assumption, and application is the implication elimination rule. Consequently a typed lambda term is a proof in implicational Intuitionistic propositional logic, and a natural deduction proof recursively supplies such a term. For example, $\lambda x.x:A\to A$ expresses implication reflexivity. Products, sums, and the empty type extend the correspondence to conjunction, disjunction, and falsity; pure arrow types give precisely the implicational fragment. Beta reduction removes an introduction followed immediately by its elimination, matching proof simplification.

A Church numeral iswhere $f^{n}x$ means $n$ repetitions of application. At base type $A$, it has type $C_A=(A\to A)\to A\to A$. The following Church numeral arithmetic terms use left-associated application:Their concise conclusions areFor successor, the initial $f$ adds one application. For addition, the inner $nfx$ supplies $n$ applications and $mf$ supplies $m$ more. For multiplication, the repeated operation $nf$ applies $f$ $n$ times, and $m$ repetitions give $mn$. For exponentiation, $\overline{n}$ iterates the operation $\overline{m}$ on $f$: each iteration replaces a function $g$ by its $m$-fold iterate, yielding $f^{m^n}$. Zero iterations give $f$, so this encoding takes $m^0=1$, including $0^0=1$. The explicit outer $f,x$ abstractions make the result the standard Church numeral even at exponent zero, without needing eta equivalence.

Successor, addition, and multiplication operate on the same $C_A$. The displayed exponentiation term has type $C_A\to C_{A\to A}\to C_A$: its exponent iterates an operation on functions. Thus the numeral syntax admits several type instances; one should not force every occurrence into one fixed monomorphic Church type.

The Y combinator is the fixed-point combinatorFor $X_g=(\lambda x.g(xx))(\lambda x.g(xx))$, beta reduction gives $Yg{\to }_{\beta }{X}_g{\to }_{\beta }g{X}_g$. Since $X_g{\equiv }_{\beta }Yg$, we obtain $Yg{\equiv }_{\beta }g(Yg)$. This allows a recursive program body to receive a representation of itself.

Here the computation is in the untyped lambda calculus. The self-application $xx$ would require a simple type satisfying $A=A\to B$, impossible for finite simple types. Accordingly $Y$ is not a typed lambda term of the simply typed system. The Strong normalization theorem for simply typed lambda calculus also rules out a universal divergent fixed-point operator there.

To obtain a lambda representation of partial computable functions, encode machine configurations as finite data using Church numerals, Church pairs, and Church Booleans. Initial configuration, one transition, the halting test, and output extraction are primitive recursive functions, represented by lambda terms through the initial functions, composition, and lambda definition of primitive recursion by pair iteration. If these representations are $\mathsf{Init}$, $\mathsf{Next}$, $\mathsf{Halt}$, and $\mathsf{Out}$, defineUse normal-order beta reduction so the Church Boolean halting test selects one branch without evaluating the unused recursive branch. A halting computation follows finitely many transitions and returns the Church numeral of the output. A nonhalting computation forces successive tests forever and has no head normal form; by normal-order normalization theorem, it cannot be beta equivalent to a Church numeral. Thus every partial computable function is represented, with divergence preserved; every total computable function is the halting special case. This explains the role of $Y$ in computational universality while keeping the typed proof interpretation precise.

Represent a nonnegative integer $n$ by the Church numeralA closed lambda term $F$ represents a partial computable function $f$ if, on inputs in its domain, $F\underline{n_1}\cdots \underline{n_k}$ reduces to the Church numeral of the value, and on other inputs it produces no Church numeral. We use untyped lambda calculus and normal-order beta reduction.

First every primitive recursive function has such a representation on all inputs. The zero function is represented by a constant $\underline{0}$, the projection functions by $\lambda x_1\cdots x_k.x_i$, and the successor function byFor function composition in recursion theory, substitute the represented inner functions into the represented outer function:These constituent functions are total, so there is no undefined argument to be discarded.

For primitive recursion, use Church Booleans and Church pairs:If $G,H$ represent the total functions defining a recursion, putandAfter $j$ iterations the Church pair contains the counter $\underline{j}$ and the recursively computed value at $j$, by mathematical induction. Thus this lambda definition of primitive recursion by pair iteration represents the recursion. A structural induction for primitive recursive functions now represents every primitive recursive function.

To pass to arbitrary partial computable functions, use the Kleene normal form theorem in the following form: for every $f:{\mathbb{N}}^k\rightharpoonup \mathbb{N}$, there are total primitive recursive functions $C,U$ such thatwith $f$ undefined precisely when no such $t$ exists. The predicate checks codes of valid finite halting histories for the chosen program; $U$ extracts their common output. This expresses unbounded minimization of a total predicate, so no earlier undefined test can interfere with the search.

Let $\hat{C},\hat{U}$ be the represented total functions. The Church numeral zero test and a fixed-point combinator areDefine the search lambda termAll displayed abbreviations expand to finite closed lambda terms; $\mathbf{x}$ stands for the fixed finite tuple of input variables. Because $YH{\equiv }_{\beta }H(YH)$, normal-order beta reduction tests $t=0,1,2,\dots$. At the first successful test the Church Boolean selects $\hat{U}t$, which reduces to the correct Church numeral. The unused recursive branch is discarded.

If no test succeeds, every finite search step returns to another head search, never exposing a numeral. The term has no head normal form and hence cannot be beta equivalent to a Church numeral. This last point is why the output operation occurs inside the successful branch: simply applying a possibly argument-discarding outer function to a divergent search would not justify undefinedness. Therefore every computable function is representable, including partial computable functions with their correct undefined inputs:

Use untyped lambda calculus and normal-order beta reduction. Write $c_n=\lambda fx.f^{n}x$ for the Church numeral of $n$. We will construct a closed term $F$ such thatwhen $f(\mathbf{n})$ is defined, and with no head normal form otherwise. The latter condition implies that the result is not in beta equivalence with any Church numeral, so both definedness and the output are represented.

First represent all total primitive recursive functions. The zero function is $\lambda \mathbf{x}.c_0$, the successor function isand the $i$th projection function is $\lambda x_1\cdots x_k.x_i$. Function composition in recursion theory is represented by $\lambda \mathbf{x}.G(H_1\mathbf{x})\cdots (H_r\mathbf{x})$. This composition claim is used here for total functions, whose inner terms all reduce to numerals.

For primitive recursion use Church pairs and iteration. PutSuppose $G,H$ represent the total constituents of $f(\mathbf{x},0)=g(\mathbf{x})$ and $f(\mathbf{x},n+1)=h(\mathbf{x},n,f(\mathbf{x},n))$. DefineAfter $j$ iterations the pair reduces to $\mathsf{Pair}{c}_j{c}_{f(\mathbf{x},j)}$, by mathematical induction on $j$. Its second projection is the required result. This lambda definition of primitive recursion by pair iteration and structural induction on the primitive recursive construction give terms for all primitive recursive functions.

For an arbitrary partial computable function use the Kleene normal form theorem with its program index fixed. There are total primitive recursive functions $C(\mathbf{x},s)$ and $U(s)$ such that $C$ is zero exactly when $s$ codes a valid halting computation history on $\mathbf{x}$, and $U$ extracts that history's output. Checking finite coded configurations and each transition is primitive recursive. Determinism ensures that every accepted history on an input has the same output. HenceIf the input computation never halts, no history is accepted. Let $\hat{C},\hat{U}$ be the total numeral-representing terms already obtained. The Church numeral zero test is $\mathsf{Zero}=\lambda n.n(\lambda z.\mathsf{F})\mathsf{T}$, returning $\mathsf{T}$ exactly on zero. A Church Boolean applied to two arguments selects the appropriate branch without evaluating the other.

Take the fixed-point combinator $Y=\lambda h.(\lambda z.h(zz))(\lambda z.h(zz))$. For the input tuple defineExpanding the displayed abbreviations gives a genuine finite combinator. At a numeral code $c_j$, the total predicate computation terminates. If it returns a positive numeral, the false Church Boolean selects the next search code. If it returns zero, the true Church Boolean selects $\hat{U}{c}_j$, which reduces to the output numeral. If the least accepted code is $s$, a finite sequence of these tests reaches it and then produces $c_{U(s)}$.

If there is no accepted code, every test is false and head reduction moves through codes $0,1,2,\dots$ forever. At no finite point can a head variable or an outer numeral abstraction be produced: the applied search term must first unfold the fixed point and evaluate the next total test, and the decoder branch is always discarded. Thus it has no head normal form. The standard head-normalization property, or the Church-Rosser theorem together with normalization of normal-order reduction, rules out beta equivalence to a numeral. In particular, we have avoided a lazy-composition pitfall: an outer function that discards an argument need not force a divergent inner computation. The decoder is reached only after the guarded search succeeds. This proves lambda representation of partial computable functions:

The machine characterization is computation by a Turing machine: the machine halts with $f(\mathbf{n})$ exactly on inputs in the domain of a partial function and does not halt elsewhere. The syntactic characterization is the least class containing the initial functions of recursion theory and closed under composition of partial functions, primitive recursion and unbounded minimization. Such functions are the partial recursive functions, equivalently the partial computable functions.

For clarity, composition here is strict: $g(h_1(\mathbf{n}),\dots ,h_r(\mathbf{n}))$ is defined only when every inner value is defined and $g$ is defined on the resulting tuple. Likewise primitive recursion requires all preceding recursive values. The partial minimization $\mu y[g(\mathbf{n},y)=0]$ is defined when such a $y$ exists and all earlier values are defined and nonzero; an undefined earlier value blocks the search.

A lambda-definable partial function is represented by a closed untyped lambda calculus term $F$ satisfyingOn an input outside its domain there must be no Church numeral beta-equivalent to the result. A stronger representation can be arranged: undefined inputs have no head normal form.

Here are the components for proving that every partial recursive function is lambda-definable. Zero and projections are immediate; lambda definition of the successor function uses $\mathrm{Succ}=\lambda n.\lambda a.\lambda b.a(nab)$. Church Booleans encode a conditional by $bUV$, with $\mathrm{True}=\lambda u.\lambda v.u$ and $\mathrm{False}=\lambda u.\lambda v.v$. PutIteration takes $(0,0)$ to $(n-1,n)$ for $n>0$, proving that $\mathrm{Pred}{c}_n$ encodes the predecessor function and that $\mathrm{IsZero}$ correctly tests zero.

Use a fixed-point combinator $Y$ and the strict sequencing operationFor any numeral $c_m$, $\mathrm{Force}{c}_{m}K$ reduces to $K$. If the first argument has no head normal form, neither does the whole expression. Thus composition is implemented by nesting $\mathrm{Force}$ on every inner result before applying the outer representing term. This guard is important: an unguarded projection could discard an undefined inner computation.

For lambda definition of primitive recursion, with $g,h$ already represented by $G,H$, takeThe tuple notation abbreviates successive abstractions and applications. On numeral inputs, induction on $n$ proves the required recursion equations, including strict propagation of undefined preceding values. The beta reduction follows the selected conditional branch only.

For lambda definition of unbounded minimization, useThis searches in increasing order. An undefined value blocks the zero test; an infinite sequence of nonzero values continues forever; the first zero returns its numeral. Under normal-order beta reduction, both failure cases have no head normal form. Structural induction on partial-recursive declarations now supplies the stronger representation claimed above.

Conversely, beta reduction is an effective operation on finitely encoded lambda terms. Enumerate all finite reduction sequences from $F{\mathbf{c}}_n$, stopping when a result is a Church numeral in beta-normal form. If $F{\mathbf{c}}_n{\equiv }_{\beta }{c}_m$, the Church-Rosser theorem gives a reduction to that numeral. It also makes the output unique. The enumeration therefore computes exactly the represented partial function; by the equivalence of the first two characterizations it is partial recursive. Hence

A lambda term is solvable if its closure by lambda abstractions over its free variables can be applied to finitely many closed lambda terms to obtain $I=\lambda x.x$ in beta equivalence. This is equivalent to having a head normal form. A head variable in a head normal form can be replaced by a projection returning $I$; conversely standardization theorem for beta reduction traces any successful head computation back to a head variable of the original term.

A finite beta reduction can be rearranged into standard order, contracting earlier residual redexes before later ones. In particular, a lambda term with a head normal form reaches one by head reduction, and a term with a beta-normal form reaches it by normal-order beta reduction. Head reduction contracts the outermost redex on the left application spine, including under initial lambda abstractions.

The term $\mathrm{Force}{c}_{m}K$ beta-reduces to $K$ for every Church numeral $c_m$. If its first argument has no head normal form, the whole application has no head normal form. Nesting this operation forces each represented inner computation before applying an outer function, implementing composition of partial functions even when an outer projection would discard an argument. The same guard makes lambda definition of primitive recursion strict in the preceding recursive value.

An unsolvable lambda term has no head normal form, equivalently it is not a solvable lambda term. Capture-avoiding substitution and lambda application preserve unsolvability: until a head variable appears, head contractions proceed within the original term and cannot inspect the supplied terms.