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Interleavings, by themselves, do not form a generating set for the symmetric group. However a generalisation of them, the set of allriffle shuffleson a deck of cards, does form such a set.

Think of this as just merge sort in reverse. The decomposition is attained by sorting the inverse of a permutation.

Proposition

Every permutation can be decomposed into a product of riffle shuffles whose underlying circuit has logarithmic depth.

Corollary

There are quasipolynomial-size proofs permuting the inputs of threshold formulae, for any permutation.

Arbitrary permutations

Interleavings, by themselves, do not form a generating set for the symmetric group. However a generalisation of them, the set of allriffle shuffleson a deck of cards, does form such a set.

Think of this as just merge sort in reverse. The decomposition is attained by sorting the inverse of a permutation.

Proposition

Every permutation can be decomposed into a product of riffle shuffles whose underlying circuit has logarithmic depth.

Corollary

There are quasipolynomial-size proofs permuting the inputs of threshold formulae, for any permutation.

Arbitrary permutations

Interleavings, by themselves, do not form a generating set for the symmetric group. However a generalisation of them, the set of allriffle shuffleson a deck of cards, does form such a set.

Think of this as just merge sort in reverse. The decomposition is attained by sorting the inverse of a permutation.

Proposition

Every permutation can be decomposed into a product of riffle shuffles whose underlying circuit has logarithmic depth.

Corollary

There are quasipolynomial-size proofs permuting the inputs of threshold formulae, for any permutation.

Arbitrary permutations

Interleavings, by themselves, do not form a generating set for the symmetric group. However a generalisation of them, the set of allriffle shuffleson a deck of cards, does form such a set.

Think of this as just merge sort in reverse. The decomposition is attained by sorting the inverse of a permutation.

Proposition

Every permutation can be decomposed into a product of riffle shuffles whose underlying circuit has logarithmic depth.

Corollary

There are quasipolynomial-size proofs permuting the inputs of threshold formulae, for any permutation.

Conclusions

Summary

We constructed quasipolynomial-size proofs ofPHPnin the fragment of Gentzen free of cuts between descendants of any structural rules.

The normalisation procedures from deep inference appear crucial for controlling the complexity of these proofs.

Procedures internal to the Gentzen formalism seem inadequate.

While the existence of small proofs ofPHPnis encouraging, the relative complexity of weak monotone systems is open.

This problem seems fundamentally related to the relationship between divide-and-conquer induction and regular induction in the absence of negation, something which could be studied in an arithmetic setting.

The Gentzen formulation of our proofs still contains some cuts. The complexity of (partially) eliminating these cuts is the topic of further study.

Summary

We constructed quasipolynomial-size proofs ofPHPnin the fragment of Gentzen free of cuts between descendants of any structural rules.

The normalisation procedures from deep inference appear crucial for controlling the complexity of these proofs.

Procedures internal to the Gentzen formalism seem inadequate.

While the existence of small proofs ofPHPnis encouraging, the relative complexity of weak monotone systems is open.

This problem seems fundamentally related to the relationship between divide-and-conquer induction and regular induction in the absence of negation, something which could be studied in an arithmetic setting.

The Gentzen formulation of our proofs still contains some cuts. The complexity of (partially) eliminating these cuts is the topic of further study.

Summary

We constructed quasipolynomial-size proofs ofPHPnin the fragment of Gentzen free of cuts between descendants of any structural rules.

The normalisation procedures from deep inference appear crucial for controlling the complexity of these proofs.

Procedures internal to the Gentzen formalism seem inadequate.

While the existence of small proofs ofPHPnis encouraging, the relative complexity of weak monotone systems is open.

This problem seems fundamentally related to the relationship between divide-and-conquer induction and regular induction in the absence of negation, something which could be studied in an arithmetic setting.

The Gentzen formulation of our proofs still contains some cuts. The complexity of (partially) eliminating these cuts is the topic of further study.

Summary

We constructed quasipolynomial-size proofs ofPHPnin the fragment of Gentzen free of cuts between descendants of any structural rules.

The normalisation procedures from deep inference appear crucial for controlling the complexity of these proofs.

Procedures internal to the Gentzen formalism seem inadequate.

While the existence of small proofs ofPHPnis encouraging, the relative complexity of weak monotone systems is open.

This problem seems fundamentally related to the relationship between divide-and-conquer induction and regular induction in the absence of negation, something which could be studied in an arithmetic setting.

The Gentzen formulation of our proofs still contains some cuts. The complexity of (partially) eliminating these cuts is the topic of further study.

Summary

We constructed quasipolynomial-size proofs ofPHPnin the fragment of Gentzen free of cuts between descendants of any structural rules.

The normalisation procedures from deep inference appear crucial for controlling the complexity of these proofs.

Procedures internal to the Gentzen formalism seem inadequate.

While the existence of small proofs ofPHPnis encouraging, the relative complexity of weak monotone systems is open.

This problem seems fundamentally related to the relationship between divide-and-conquer induction and regular induction in the absence of negation, something which could be studied in an arithmetic setting.

The Gentzen formulation of our proofs still contains some cuts.

The complexity of (partially) eliminating these cuts is the topic of further study.

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