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Another approach to the Kan-Quillen model structure

CT 2015, Aveiro

Sean Moss

Tuesday 16 June 2015

University of Cambridge, UK

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Motivation

∙ Try to understand the basic homotopy theory of simplicial sets combinatorially — without topological spaces or minimal fibrations.

∙ See how much of simplicial homotopy theory still holds constructively.

∙ This talk: an elementary proof that the embedding X,→ExXis an anodyne extension.

(3)

Motivation

∙ Try to understand the basic homotopy theory of simplicial sets combinatorially — without topological spaces or minimal fibrations.

∙ See how much of simplicial homotopy theory still holds constructively.

∙ This talk: an elementary proof that the embedding X,→ExXis an anodyne extension.

1

(4)

Motivation

∙ Try to understand the basic homotopy theory of simplicial sets combinatorially — without topological spaces or minimal fibrations.

∙ See how much of simplicial homotopy theory still holds constructively.

∙ This talk: an elementary proof that the embedding X,→ExXis an anodyne extension.

(5)

Motivation

∙ Try to understand the basic homotopy theory of simplicial sets combinatorially — without topological spaces or minimal fibrations.

∙ See how much of simplicial homotopy theory still holds constructively.

∙ This talk: an elementary proof that the embedding X,→ExXis an anodyne extension.

1

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Horn inclusions

∙ Horn inclusionsΛnk ,→ △n represent the basic homotopical deformations of simplicial sets.

0 1 0 1

0 2

1

0 2

1

0 2

1

∙ A mapf:X→Ywith theright lifting propertywith respect to all horn inclusions is aKan fibration.

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Anodyne Extensions

∙ Ananodyne presentationfor a monomorphismm:A,→B consists of:

a cardinalκ,

a nested decompositionB=

ακAαwithAκ=B,A0=Aand for any non-zero limit ordinalλκwe haveAλ=

α<λAα, and

for eachα < κa pushout square of the form

iIαΛnki,α

i,α

iIαni,α

Aα

Aα+1

∙ Astrong anodyne extensionis anmadmitting an anodyne presentation.

3

(8)

Anodyne Extensions

∙ Ananodyne presentationfor a monomorphismm:A,→B consists of:

a cardinalκ,

a nested decompositionB=

ακAαwithAκ=B,A0=Aand for any non-zero limit ordinalλκwe haveAλ=

α<λAα, and

for eachα < κa pushout square of the form

iIαΛnki,α

i,α

iIαni,α

Aα

Aα+1

∙ Astrong anodyne extensionis anmadmitting an anodyne presentation.

(9)

Anodyne Extensions

∙ Ananodyne presentationfor a monomorphismm:A,→B consists of:

a cardinalκ,

a nested decompositionB=

ακAαwithAκ=B,A0=Aand for any non-zero limit ordinalλκwe haveAλ=

α<λAα, and

for eachα < κa pushout square of the form

iIαΛnki,α

i,α

iIαni,α

Aα

Aα+1

∙ Astrong anodyne extensionis anmadmitting an anodyne presentation.

3

(10)

Anodyne Extensions

∙ Ananodyne presentationfor a monomorphismm:A,→B consists of:

a cardinalκ,

a nested decompositionB=

ακAαwithAκ=B,A0=Aand for any non-zero limit ordinalλκwe haveAλ=

α<λAα, and

for eachα < κa pushout square of the form

iIαΛnki,α

i,α

iIαni,α

Aα

Aα+1

∙ Astrong anodyne extensionis anmadmitting an anodyne presentation.

(11)

Anodyne Extensions

∙ Ananodyne presentationfor a monomorphismm:A,→B consists of:

a cardinalκ,

a nested decompositionB=

ακAαwithAκ=B,A0=Aand for any non-zero limit ordinalλκwe haveAλ=

α<λAα, and

for eachα < κa pushout square of the form

iIαΛnki,α

i,α

iIαni,α

Aα

Aα+1

∙ Astrong anodyne extensionis anmadmitting an anodyne presentation.

3

(12)

P-structures I

∙ Letm:A,→Bbe a strong anodyne extension, andτ ∈Ba non-degenerate simplex not inA(of dimension 1, say). There are two possibilities:

τ

Aα

Aα+1

τ

∙ Eitherτ is the ‘homotopy’/‘horn-filler’ (type I) or the

‘composite’/‘added face’ (type II).

(13)

P-structures I

∙ Letm:A,→Bbe a strong anodyne extension, andτ ∈Ba non-degenerate simplex not inA(of dimension 1, say). There are two possibilities:

τ

Aα

Aα+1

τ

∙ Eitherτ is the ‘homotopy’/‘horn-filler’ (type I) or the

‘composite’/‘added face’ (type II).

4

(14)

P-structures I

∙ Letm:A,→Bbe a strong anodyne extension, andτ ∈Ba non-degenerate simplex not inA(of dimension 1, say). There are two possibilities:

τ

Aα

Aα+1

τ

∙ Eitherτ is the ‘homotopy’/‘horn-filler’ (type I) or the

‘composite’/‘added face’ (type II).

(15)

P-structures I

∙ Letm:A,→Bbe a strong anodyne extension, andτ ∈Ba non-degenerate simplex not inA(of dimension 1, say). There are two possibilities:

τ

Aα

Aα+1

τ

∙ Eitherτ is the ‘homotopy’/‘horn-filler’ (type I) or the

‘composite’/‘added face’ (type II).

4

(16)

P-structures II

Definition

AP-structurefor a monomorphismm:A,→Bconsists of:

∙ a partitionBn.d.\An.d.=BI⊔BIIand

∙ a bijectionP:BII→BI such that

∙ dimP(x) =dimx+1,

∙ (moreover),x=diP(x)for a uniquei, and

∙ “each x∈Bn.d.has only finitely many ancestors”.

Theorem

m admits a P-structure if and only if m admits an anodyne presentation.

(17)

P-structures II

Definition

AP-structurefor a monomorphismm:A,→Bconsists of:

∙ a partitionBn.d.\An.d.=BI⊔BIIand

∙ a bijectionP:BII→BI such that

∙ dimP(x) =dimx+1,

∙ (moreover),x=diP(x)for a uniquei, and

∙ “each x∈Bn.d.has only finitely many ancestors”.

Theorem

m admits a P-structure if and only if m admits an anodyne presentation.

5

(18)

P-structures II

Definition

AP-structurefor a monomorphismm:A,→Bconsists of:

∙ a partitionBn.d.\An.d.=BI⊔BIIand

∙ a bijectionP:BII→BI such that

∙ dimP(x) =dimx+1,

∙ (moreover),x=diP(x)for a uniquei, and

∙ “each x∈Bn.d.has only finitely many ancestors”.

Theorem

m admits a P-structure if and only if m admits an anodyne presentation.

(19)

P-structures II

Definition

AP-structurefor a monomorphismm:A,→Bconsists of:

∙ a partitionBn.d.\An.d.=BI⊔BIIand

∙ a bijectionP:BII→BI such that

∙ dimP(x) =dimx+1,

∙ (moreover),x=diP(x)for a uniquei, and

∙ “each x∈Bn.d.has only finitely many ancestors”.

Theorem

m admits a P-structure if and only if m admits an anodyne presentation.

5

(20)

P-structures II

Definition

AP-structurefor a monomorphismm:A,→Bconsists of:

∙ a partitionBn.d.\An.d.=BI⊔BIIand

∙ a bijectionP:BII→BI such that

∙ dimP(x) =dimx+1,

∙ (moreover), x=diP(x)for a uniquei, and

∙ “each x∈Bn.d.has only finitely many ancestors”.

Theorem

m admits a P-structure if and only if m admits an anodyne presentation.

(21)

P-structures II

Definition

AP-structurefor a monomorphismm:A,→Bconsists of:

∙ a partitionBn.d.\An.d.=BI⊔BIIand

∙ a bijectionP:BII→BI such that

∙ dimP(x) =dimx+1,

∙ (moreover), x=diP(x)for a uniquei, and

∙ “each x∈Bn.d.has only finitely many ancestors”.

Theorem

m admits a P-structure if and only if m admits an anodyne presentation.

5

(22)

P-structures II

Definition

AP-structurefor a monomorphismm:A,→Bconsists of:

∙ a partitionBn.d.\An.d.=BI⊔BIIand

∙ a bijectionP:BII→BI such that

∙ dimP(x) =dimx+1,

∙ (moreover), x=diP(x)for a uniquei, and

∙ “each x∈Bn.d.has only finitely many ancestors”.

Theorem

m admits a P-structure if and only if m admits an anodyne

(23)

Subdivision

∙ Definesubdivisionsd:△ →sSet by sd(n) =N(P̸=([n])) (NBP̸= = (n)n.d.).

0 0 01 1 0 1

2

01

02 12

012

∙ Define thelast-vertex mapȷ̄n: sdn→ △nas the nerve of P̸=([n])[n]

S7→maxS.

6

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Subdivision

∙ Definesubdivisionsd:△ →sSet by sd(n) =N(P̸=([n])) (NBP̸= = (n)n.d.).

0 0 01 1 0 1

2

01

02 12

012

∙ Define thelast-vertex mapȷ̄n: sdn→ △nas the nerve of P̸=([n])[n]

S7→maxS.

(25)

Subdivision

∙ Definesubdivisionsd:△ →sSet by sd(n) =N(P̸=([n])) (NBP̸= = (n)n.d.).

0 0 01 1 0 1

2

01

02 12

012

∙ Define thelast-vertex mapȷ̄n: sdn→ △nas the nerve of P̸=([n])[n]

S7→maxS.

6

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Extension

∙ DefineextensionEx:sSetsSet by(ExX)n=sSet(sdn,X)

— the set of all ‘subdivision pasting diagrams inX’.

∙ There is a canonical embeddingjX:X→ExXgiven by Xn(ExX)n

(σ:n→X)7→◦ȷ̄n: sdn→X).

∙ ‘Iterating’ gives a Kan complex ExXinto whichXembeds. Theorem

jX:X→ExX admits an anodyne presentation. We will give a P-structure forjX:X→ExX.

(27)

Extension

∙ DefineextensionEx:sSetsSet by(ExX)n=sSet(sdn,X)

— the set of all ‘subdivision pasting diagrams inX’.

∙ There is a canonical embeddingjX:X→ExXgiven by Xn(ExX)n

(σ:n→X)7→◦ȷ̄n: sdn→X).

∙ ‘Iterating’ gives a Kan complex ExXinto whichXembeds. Theorem

jX:X→ExX admits an anodyne presentation. We will give a P-structure forjX:X→ExX.

7

(28)

Extension

∙ DefineextensionEx:sSetsSet by(ExX)n=sSet(sdn,X)

— the set of all ‘subdivision pasting diagrams inX’.

∙ There is a canonical embeddingjX:X→ExXgiven by Xn(ExX)n

(σ:n→X)7→◦ȷ̄n: sdn→X).

∙ ‘Iterating’ gives a Kan complex ExXinto whichXembeds.

Theorem

jX:X→ExX admits an anodyne presentation. We will give a P-structure forjX:X→ExX.

(29)

Extension

∙ DefineextensionEx:sSetsSet by(ExX)n=sSet(sdn,X)

— the set of all ‘subdivision pasting diagrams inX’.

∙ There is a canonical embeddingjX:X→ExXgiven by Xn(ExX)n

(σ:n→X)7→◦ȷ̄n: sdn→X).

∙ ‘Iterating’ gives a Kan complex ExXinto whichXembeds.

Theorem

jX:X→ExX admits an anodyne presentation.

We will give a P-structure forjX:X→ExX.

7

(30)

The complexity of a binary pasting diagram

Definition

For natural numbersnandkwith 0≤k≤n, let

jkn: sdnsdnbe the nerve of the binary-join-preserving mapP̸=([n])→P̸=([n])with

{i} 7→



{i} ifi≤k {0,1, . . . ,i} ifi≥k+1.

Observe thatjnn =id andj0n isȷ̄n followed by an inclusion. Sincejkn◦jhn=jknforh≥k, we get a ‘filtration’ of(ExX)n

Xn=J0n J1n⊆. . .⊆Jnn1Jnn= (ExX)n, whereJkn = (ExX)n|σ◦jkn=σ}.

(31)

The complexity of a binary pasting diagram

Definition

For natural numbersnandkwith 0≤k≤n, let

jkn: sdnsdnbe the nerve of the binary-join-preserving mapP̸=([n])→P̸=([n])with

{i} 7→



{i} ifi≤k {0,1, . . . ,i} ifi≥k+1.

Observe thatjnn =id andj0nisȷ̄n followed by an inclusion.

Sincejkn◦jhn=jknforh≥k, we get a ‘filtration’ of(ExX)n Xn=J0n J1n⊆. . .⊆Jnn1Jnn= (ExX)n,

whereJkn = (ExX)n|σ◦jkn=σ}.

8

(32)

The complexity of a binary pasting diagram

Definition

For natural numbersnandkwith 0≤k≤n, let

jkn: sdnsdnbe the nerve of the binary-join-preserving mapP̸=([n])→P̸=([n])with

{i} 7→



{i} ifi≤k {0,1, . . . ,i} ifi≥k+1.

Observe thatjnn =id andj0nisȷ̄n followed by an inclusion.

Sincejkn◦jhn=jknforh≥k, we get a ‘filtration’ of(ExX)n

(33)

Subdivision-pasting in terms of horn-filling I

Definition

For natural numbersnandkwith 1≤k≤n, let

rkn: sdn+1→ △nbe the nerve of the binary-join-preserving mapP̸=([n+1])→P̸=([n])with

{i} 7→







{i} ifi≤k {0,1, . . .k} ifi=k+1 {i−1} ifi≥k+2.

Observe that this pattern continued tok=0 would give us sd(s0:n+1→ △n), the 0th subdivided codegeneracy map.

9

(34)

Subdivision-pasting in terms of horn-filling II

0

1 3 2

0

1 2

0

1 2 3

0

1 2

(35)

Subdivision-pasting in terms of horn-filling II

0

1 3 2

0

1 2

r12

0

1 2 3

0

1 2

r22

11

(36)

Subdivision-pasting in terms of horn-filling III

r13 r23 r33

(37)

The P-structure

∙ Fix a simplicial setX.

∙ Letσ be a non-degeneraten-simplex of ExX, which moreover is inJkn\Jkn1 (ExX)nfor somek≥1.

∙ Ifσis of type II, then we defineP(σ) =σ◦rkn, where

∙ we say that that such aσis oftype IIiff it isnotof the form τ◦rhnfor anyh≥1 andτ Jhn\Jhn1 (andtype Iif it is).

∙ One now checks that this does indeed satisfy the conditions for a P-structure onjX:X,→ExX.

∙ This description is useful for proving properties of ExX, whence there is an elementary deduction of the Kan-Quillen model structure.

13

(38)

The P-structure

∙ Fix a simplicial setX.

∙ Letσ be a non-degeneraten-simplex of ExX, which moreover is inJkn\Jkn1 (ExX)n for somek≥1.

∙ Ifσis of type II, then we defineP(σ) =σ◦rkn, where

∙ we say that that such aσis oftype IIiff it isnotof the form τ◦rhnfor anyh≥1 andτ Jhn\Jhn1 (andtype Iif it is).

∙ One now checks that this does indeed satisfy the conditions for a P-structure onjX:X,→ExX.

∙ This description is useful for proving properties of ExX, whence there is an elementary deduction of the Kan-Quillen model structure.

(39)

The P-structure

∙ Fix a simplicial setX.

∙ Letσ be a non-degeneraten-simplex of ExX, which moreover is inJkn\Jkn1 (ExX)n for somek≥1.

∙ Ifσis of type II, then we defineP(σ) =σ◦rkn, where

∙ we say that that such aσis oftype IIiff it isnotof the form τ◦rhnfor anyh≥1 andτ Jhn\Jhn1 (andtype Iif it is).

∙ One now checks that this does indeed satisfy the conditions for a P-structure onjX:X,→ExX.

∙ This description is useful for proving properties of ExX, whence there is an elementary deduction of the Kan-Quillen model structure.

13

(40)

The P-structure

∙ Fix a simplicial setX.

∙ Letσ be a non-degeneraten-simplex of ExX, which moreover is inJkn\Jkn1 (ExX)n for somek≥1.

∙ Ifσis of type II, then we defineP(σ) =σ◦rkn, where

∙ we say that that such aσis oftype IIiff it isnotof the form τ ◦rhnfor anyh≥1 andτ Jhn\Jhn1(andtype Iif it is).

∙ One now checks that this does indeed satisfy the conditions for a P-structure onjX:X,→ExX.

∙ This description is useful for proving properties of ExX, whence there is an elementary deduction of the Kan-Quillen model structure.

(41)

The P-structure

∙ Fix a simplicial setX.

∙ Letσ be a non-degeneraten-simplex of ExX, which moreover is inJkn\Jkn1 (ExX)n for somek≥1.

∙ Ifσis of type II, then we defineP(σ) =σ◦rkn, where

∙ we say that that such aσis oftype IIiff it isnotof the form τ ◦rhnfor anyh≥1 andτ Jhn\Jhn1(andtype Iif it is).

∙ One now checks that this does indeed satisfy the conditions for a P-structure onjX:X,→ExX.

∙ This description is useful for proving properties of ExX, whence there is an elementary deduction of the Kan-Quillen model structure.

13

(42)

The P-structure

∙ Fix a simplicial setX.

∙ Letσ be a non-degeneraten-simplex of ExX, which moreover is inJkn\Jkn1 (ExX)n for somek≥1.

∙ Ifσis of type II, then we defineP(σ) =σ◦rkn, where

∙ we say that that such aσis oftype IIiff it isnotof the form τ ◦rhnfor anyh≥1 andτ Jhn\Jhn1(andtype Iif it is).

∙ One now checks that this does indeed satisfy the conditions for a P-structure onjX:X,→ExX.

∙ This description is useful for proving properties of ExX, whence there is an elementary deduction of the Kan-Quillen

(43)

Thanks for listening!

14

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