Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-12
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TQBF is PSPACE-complete

Statement

TQBF lies in PSPACE, and every language in PSPACE polynomial-time many-one reduces to TQBF. Therefore TQBF is PSPACE-complete.

Facts & Assumptions

Given: the language TQBF and an arbitrary language L∈PSPACE.

[L1]

TQBF belongs to PSPACE (TQBF is in PSPACE).

[L2]

For a fixed multitape machine running in space p(n), a configuration is determined by its state, finitely many head positions, and the contents of at most p(n) visited cells, so configurations admit encodings of length O(p(n)) (Multitape and nondeterministic Turing machine variants, Worst-case time and space complexity of a machine).

[L3]

A polynomial-space machine has at most exponentially many configurations (A machine using space s(n) has at most exponentially many configurations).

[L4]

The formulas Θi(U,V) are the reachability formulas of The quantified formula expressing reachability between two configurations.

[L5]

Those formulas have only polynomial size when the configuration length and the index i are polynomially bounded (Quantifier reuse keeps the reachability formulas polynomial in size).

[L6]

A polynomial-time many-one reduction is a polynomial-time computable map preserving yes and no instances exactly (Polynomial-time many-one reductions).

Proof

technique · direct
1.1L1given

The membership part is exactly [L1]. So it remains to prove PSPACE-hardness.

1.2L2construct

Because L∈PSPACE, there is a deterministic machine M deciding L in space p(n) for some polynomial p. Fix an input x of length n. By [L2], configurations of M on x can be encoded by bit strings of length m=O(p(n)). If M has more than one accepting configuration, adjoin one fresh sink vertex t and one edge from every accepting configuration to t; this changes the encoding length by at most one bit and preserves acceptance.

2.1L3L4step 1.2algebra

By [L3], the resulting graph has at most 2cp(n) vertices for some constant c. Choose k:=cp(n) large enough that 2k exceeds this number, and form the quantified Boolean formula Φx:=Θk(Cstart(x),t) using [L4].

3.1L4step 2.1induction

We claim that Φx is true if and only if M accepts x. The proof is by induction on the index used in [L4]. For i=0, Θ0(U,V) says exactly that U=V or that one legal edge joins U to V. For i≥1, the formula chooses a midpoint W and then, by the universal choice of the selector bit b, forces one recursive call to certify the left half and one to certify the right half. Hence Θi(U,V) is true exactly when there is a path from U to V of length at most 2i. With U=Cstart(x) and V=t, this means exactly that M accepts x.

4.1L5L6step 3.1

By [L5], Φx has polynomial size. Because the transition table of M is fixed and the configuration length is polynomial, the formula Φx can be written down from x in polynomial time. Step 3.1 shows x∈L  ⟺  Φx∈TQBF, so by [L6] the map x↦Φx is a polynomial-time many-one reduction from L to TQBF.

5.1step 1.1step 4.1∎

Steps 1.1 and 4.1 prove that TQBF is in PSPACE and PSPACE-hard. Therefore TQBF is PSPACE-complete.

Depends on

Used by

Dependency tree · two levels

14 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources