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Turing 1936 — On Computable Numbers

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The Source

Turing, A.M. (1936). "On Computable Numbers, with an Application to the Entscheidungsproblem." Proceedings of the London Mathematical Society, Series 2, Vol. 42, pp. 230-265. DOI: 10.1112/plms/s2-42.1.230.

The Claim

Some problems cannot be solved by any mechanical procedure. [SOURCE:turing-1936|type:mathematical] Turing proved this by inventing a machine that defines what "mechanical" means.

The Context

Hilbert asked for a decision procedure. He wanted a single algorithm that could settle every mathematical question. Mathematicians believed such a procedure existed. They were wrong. Turing was twenty-four. He solved the problem by imagining a machine.

The year was 1936. Europe was darkening. Gödel had already shattered completeness in 1931. [SOURCE:godel-1931|type:mathematical] The foundations of mathematics were in crisis. Hilbert's program was the last hope: a mechanical procedure to decide all truths. Turing ended that hope with a thought experiment.

The Evidence

Turing defined a computable number as one whose decimal digits a machine could print. The machine reads a tape. It moves left or right. It writes symbols or erases them. Its behavior is determined by a finite table of instructions. This is the Turing machine. [SOURCE:turing-1936|type:mathematical]

Turing then constructed a universal machine. One machine that can simulate any other. Feed it the description of any Turing machine and its input. It computes what that machine would compute. [SOURCE:turing-1936|type:mathematical]

Then he proved the halting problem. No machine can predict whether another machine will halt or run forever. The proof is a diagonal argument. The machine is asked to judge itself. Contradiction follows. Therefore no such machine exists. [SOURCE:turing-1936|type:mathematical]

The Entscheidungsproblem falls immediately. If you cannot determine whether a machine halts, you cannot determine whether a theorem is provable. The limit is absolute.

The Convergence

This source instantiates C20 — Universal Computation. [SOURCE:turing-1936|type:mathematical]

Turing's machine is the abstract structure that underlies every computer. One machine simulates all others. This is not metaphor. It is theorem.

The paper also instantiates C08 — Recursion / Self-Reference. [SOURCE:turing-1936|type:mathematical] The diagonal argument requires a machine to examine its own behavior. Self-reference produces undecidability.

The convergence is triple. Church proved the same result independently, using lambda calculus. [SOURCE:church-1936|type:mathematical] Post arrived independently with finite combinatory processes. Three methods, one limit. The boundary of computation is real.

The Honest Limits

Turing assumed a discrete, deterministic machine. Nature is not discrete. Quantum mechanics is probabilistic. Whether the universe itself is computable remains open. [SOURCE:turing-1936|type:theoretical]

Turing did not address computational complexity. A problem can be computable yet take longer than the age of the universe to solve. P versus NP was decades away.

His machine has infinite tape. Real machines have finite memory. The idealization matters for some proofs.

The Church-Turing thesis is a hypothesis about physics, not a theorem. It may fail at quantum or biological scales. [SOURCE:turing-1936|type:theoretical]

The Receipt

"We may compare a man in the process of computing a real number to a machine which is only capable of a finite number of conditions... The machine is supplied with a 'tape' (the analogue of paper) running through it, and divided into sections (called 'squares') each capable of bearing a 'symbol'."

This is §1 of the paper. Turing constructs the machine from scratch.

The diagonal argument, in his own words:

"It follows that there can be no machine E which, when supplied with the S.D [standard description] of any computing machine M, will determine whether M ever prints a given symbol..."

The machine D, applied to itself, produces a contradiction. Therefore D cannot exist. The receipt is complete. [SOURCE:turing-1936|type:mathematical]

Related Sources

  • [SOURCE:church-1936|type:mathematical] — Alonzo Church proved the same undecidability independently via lambda calculus
  • [SOURCE:godel-1931|type:mathematical] — Gödel's incompleteness theorems set the stage for Turing's limit
  • [SOURCE:post-1936|type:mathematical] — Emil Post arrived independently with finite combinatory processes
  • [SOURCE:von-neumann-1945|type:empirical] — Von Neumann built the stored-program computer architecture from Turing's blueprint
  • [SOURCE:shannon-1948|type:theoretical] — Shannon's information theory completes the triad: computable, communicable, compressible
  • [SOURCE:prigogine-1977|type:empirical] — Dissipative structures push against the same limits: what can be computed versus what can exist
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Evidence · 4 sources · swipe →chain · verify chain · provenance
1 / 4

Key evidence

7 claims · tier-ranked · API
runtime
Some problems cannot be solved by any mechanical procedure; the Entscheidungsproblem is undecidable.
sources: turing-1936
runtime
A computable number is one whose decimal digits a machine can print, where the machine reads a tape, moves left or right, writes or erases symbols, and behaves according to a finite table of instructions.
sources: turing-1936
runtime
There exists a universal machine that can simulate any other Turing machine given its description and input.
sources: turing-1936
runtime
No machine can predict whether another machine will halt or run forever (the halting problem).
sources: turing-1936
runtime
The Entscheidungsproblem falls immediately from the undecidability of the halting problem.
sources: turing-1936
runtime
Church, Post, and Turing arrived independently at the same limit using different methods (lambda calculus, finite combinatory processes, and Turing machines).
sources: turing-1936, church-1936, post-1936
speculative
The Church-Turing thesis is a hypothesis about physics, not a theorem, and may fail at quantum or biological scales.
sources: turing-1936

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turing-1936 · condition map

Open evidence map →
Alan Turing and the OIP/GRAIN Synthesisshared topicthinker-alan-turingReaction-Diffusion Systems and Turing Pattern Formationshared topicschool-reaction-diffusion-turing-pattern-formationTuring, A.M. (1952). The Chemical Basis of Morphogenesisshared topicpaper-turing-a-m-1952-the-chemical-basis-of-morphogenesis
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What does the ledger say about this (runtime tier): "Some problems cannot be solved by any mechanical procedure; the Entscheidungsproblem is undecidable."?
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What does the ledger say about this (runtime tier): "A computable number is one whose decimal digits a machine can print, where the machine reads a tape, moves left or right, writes or erases s…"?
ask turing-1936 claim claim-2 · paste includes §SELF
What does the ledger say about this (runtime tier): "There exists a universal machine that can simulate any other Turing machine given its description and input."?
ask turing-1936 claim claim-3 · paste includes §SELF
What does the ledger say about this (runtime tier): "No machine can predict whether another machine will halt or run forever (the halting problem)."?
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What does the ledger say about this (runtime tier): "The Entscheidungsproblem falls immediately from the undecidability of the halting problem."?
ask turing-1936 claim claim-5 · paste includes §SELF
What does the ledger say about this (runtime tier): "Church, Post, and Turing arrived independently at the same limit using different methods (lambda calculus, finite combinatory processes, and…"?
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What can you answer from your catalogue about Turing 1936 — On Computable Numbers — and what remains open or unverified?
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