applications of descriptive set theory to functional analysis and
TRANSCRIPT
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Applications of Descriptive Set Theory toFunctional Analysis and Dynamics
S. Jackson
Department of MathematicsUniversity of North Texas
August, 2013SUMIRFAS, College Station
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Overview
We discuss to applications of descriptive set theory to classifyingcomplexity, one in functional analysis, and one in dynamics.
The first result concerns the complexity of the uniformhomeomorphism relation between separable Banach spaces. It isjoint with Su Gao and Bunyamin Sari.
The second result concerns the complexity of a natural idealassociated to attractors from iterated function systems.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Basic objects of study in analysis are the Polish spaces X , thecomplete separable metric spaces.
Recall (X ,B) is a standard Borel space if B is a σ-algebra on Xsuch that (X ,B) is isomorphic to the algebra of Borel sets in somePolish space.
Any Borel subset of a Polish space is a standard Borel space.
Examples: Rnstd, ωω, 2ω, probability measures on a Polish space,
separable Banach spaces, F (X ).
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Any two uncountable Polish spaces are Borel isomorphic, so amongthe standard Borel spaces the only invariants are the cardinalities1, 2, . . . , ω, c .
In Polish spaces, one classifies the complexities of sets through thenotion of a reduction.
Let X , Y be Polish spaces and A ⊆ X , B ⊆ Y . We say A isWadge reducible to B, A ≤w B if there is a continuous functionf : X → Y such that A = f −1(B), that is,
x ∈ A⇔ f (x) ∈ B
[ This definition is reasonable if X , Y are 0-dimensional, otherwisecan use coarser notion of Borel reduction].
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
For sets in ωω complexity classes fall into a wellorderded hierarchyvia Wadge’s lemma and the Martin-Monk theorems.
Wadge’s Lemma: Assume sufficient determinacy. Then forA,B ⊆ ωω either A ≤w B or B ≤w A.
So, if we identify the degree of A with Ac , then the degrees arelinearly orderded.
Martin-Monk: Assume sufficient determinacy. Then the Wadgedegrees are wellorderded.
So, the Wadge hierarcy gives a complete classification of thecomplexity degrees for sets in Polish space.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
We wish a notion of complexity to classify objects more generalthan subsets of a Polish space.
Let E be an equivalence relation on a Polish space X . Thecorresponding quotient space is X/E .
Objects of the form X/E represent all objects for which there is asurjection of R onto the object. We usually restrict to Borelequivalence relations E (though the results usually apply toarbitrary E given determinacy).
In general, there is no reasonable (definable) way to regard X/E asa subset of a standard Borel space.
We generalize the notion of reduction to introduce notion ofcomplexity for equivalence relations on standard Borel spaces.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Let E , F be Borel equivalence relations on standard Borel spacesX , Y .
Definition
I We say E is reducible to F , E ≤ F , if there is a Borel functionf : X → Y such that xE y ⇔ f (x)F f (y).
I We say E is bi-reducible with F , E ∼ F , if E ≤ F and F ≤ E .
I We say E is emdeddable into F , E v F , if in addition f isone-to-one.
Note that a reduction gives a definable injection from X/E toY /F so reduction can be viewed as a notion of definablecardinality for these quotient spaces.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
We say E is a countable (Borel) equivalence relation if all classesof E are countable.
If G is a Polish group and G acts on X , then the orbit equivalencerelation EG is defined by
xEG y ⇔ ∃g ∈ G (g · x = y).
The Feldman-Moore theorem says that every countable Borelequivalence relation is given by the Borel action of a countablegroup G . The case G = Z is the classical case of discrete-timedynamics.
So, we can study the equivalence relations EG group by group.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
The simplest equivalence relations are the smooth or tame ones.
DefinitionE is smooth if there is a Borel reduction of E to equality relationon a Polish space.
So, for a smooth E , X/E can be regarded as a subset of astandard Borel space.
For countable Borel E , smooth is the same as saying there is aBorel selector for E .
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
DefinitionE0 is the equivalence relation on 2ω given by
xE0 y ⇔ ∃n ∀m ≥ n (x(m) = y(m)).
The Harrington-Kechris-Louveau theorem says that if E is a Borelequivalence relation then either E is smooth or E0 v E .
So, there is no complexity class of equivalence relation strictlybetween the smooth relation E= and E0.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
If G is a Polish group, G acts of F (G ) by the shift action
g · F = {gf : f ∈ F}
We can view this action as being on 2G by
g · x(h) = x(g−1h)
We call this the Bernoulli (left) shift action of G on 2G . When Gis countable, 2G is a compact Polish space in the natural producttopology.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
The Bernoulli shift is more or less universal for
FactLet E the the orbit equivalence relation for a Borel action of thecountable group G on a Polish space X . Then
E ≤ E ((2ω)G ) ≤ E (2G×Z).
A theorem of Becker-Kechris says that for general Polish G theω-product of the shift action of G on F (G ) is universal for BorelG -actions.
There is also a universal Polish group (e.g., ISO(U)), so that thereis a universal Polish group action.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Countable Equivalence Relations
Theorem (Dougherty-J-Kechris)
The shift action of F2 on 2F2 is a universal countable Borelequivalence relation, that is, E ≤ EF2 for any countable Borel E .
DefinitionA countable Borel equivalence relation E is hyperfinite if E is theincreasing union of relations En with finite classes.
Theorem (Slaman-Steel)
The following are equivalent:
I E is hyperfinite.
I E = EG where G = Z.
I The classes of E can be uniformly Borel ordered in type Z (orare finite).
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Theorem (Weiss)
Every Borel action by Zn is hyperfinite.
Theorem (Gao-J)
Every Borel action by a countable abelian group is hyperfinite.
Hyperfiniteness problem (Kechris): Is every equivalence relationgenerated by a Borel action of an amenable group hyperfinite?
Adams-Kechris showed that the structure of the countable Borelequivalence relations above E0 is complicated.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Some Non-countable Relations
I Eω0 : Does not embed into any Σ0
3 equivalence relation.
I `p, 1 ≤ p ≤ ∞. Given by action of Polish group. ByDougherty-Hjorth `p ≤ `q for p ≤ q.
I `∞ by Rosendal is universal for Kσ equivalence relations.
I E1: Defined as E0 except on R.
I =+: Equality on countable sets of reals. Embeds anycountable equivalence relations, given by S∞ action.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
The collection B of separable Banach spaces can be viewed as aPolish space by identifying separable Banach spaces with closedsubspaces of C [0, 1]. The subset of F (C [0, 1]) corresponding tolinear subspaces is a Gδ.
The collection Bb of separable Banach spaces with basis (X ,B)can also be viewed as a Polish space.
I One way is to use a universal basis, so we identify (X ,B) withan x ∈ 2ω.
I Or can identify (X , (bi )) with the sequence ‖∑k
i=1 ani bi‖X ,where (an1, . . . , a
nk) enumerates Q<ω. This identifies Bb with a
closed subset of Rω.
There are Borel functions taking codes for members of Bb in onecoding to codes in the other coding.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Some known classifications
(Ferenczi, Louveau, Rosendal) Isomorphism on separable Banachspaces is bireducible with Σ1
1-complete equivalence relation.
(Rosendal) Equivalence of bases is complete Kσ equivalencerelation (`∞).
(Melleray) Isometry between separable Banach spaces is universalorbit equivalence relation.
(Gao-J-Sari) Uniform homeomorphism between separable Banachspaces is at least `∞.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
id(2ω)qqE0
qEG , G amenable
hyperfinite?
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qqE∞
qid(2ω)
qE0
QQQq
Eω0
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qE1
q=+
JJJJJ
q`∞(equivalence
of bases)
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qEΣ11 (isomorphism)
JJJJJJJqE∞G (isometry)
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Recall that for linearly isomorphic Banach spaces X , Y , theBanch-Mazur distance is defined by
d(X ,Y ) = inf{‖T‖‖T−1‖ : T : X → Y is an isomorphism }
DefinitionX , Y are locally equivalent if there is a C > 0 such that for everyfinite dimensional subspace E of X there is a subspace F of Ywith d(E ,F ) ≤ C and vice-versa. We write X ≡L Y .
Theorem (Ribe)
If X , Y are uniformly homeomorphic then X ≡L Y .
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
FactLocal equivalence is a Σ3
0 equivalence relation on B or on Bb.
Corollary
Eω0 , and hence =+ is not reducible to ≡L on either B or Bb.
In fact we have:
Theorem (Gao-J-Sari)
≡L (on either B or Bb) is bi-reducible with `∞.
On the other hand, local equivalence differs from uniformhomeomorphism:
Theorem (GJS)
There is a single Borel class C of separable Banach spaces underuniform homeomorphism such that =+ is reducible to theisomorphism relation on C.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of reducibility
Let Ii = [li , ri ] ⊆ (1, 2) with |Ii | = 12i+1 , and let ni ∈ Z+.
Let ~p = (pi ) with pi ∈ Ii .
Let
S~p =
( ∞∑i=1
`nipi
)2
Fix a sequence bi ∈ Z+ with lim sup bi =∞.
Let σi : [0, bi ]→ Ii be an affine bijection.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
1 2
Ii
li ri
0 bi
σi
· · ·
Figure: Basic setup for the embedding
I Ii = [li , ri ], |Ii | = 2−(i+1)
I σi : [0, bi ]→ Ii
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
We choose the ni carefully, they must grow fast, but not too fast.
Letni = 2bi2
i
We can easily reduce `∞(R) to `∞([0, bi ]), so we use the latter.
Given x ∈∏
[0, bi ], we define π(x) to be the separable Banachspace π(x) = S~p,~n where ~p ∈
∏Ii is given by
pi = σi (x(i))
We check that π is a reduction from `∞([0, bi ]) to the uniformhomeomorphism relation on B.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Note that (we assume the bi are increasing)
n1/ri+1
i+1 ≥ n1/2i+1 = 2bi+12
i ≥ ni ≥ n1/lii
Lemma
S~p, S~q are uniformly homeomorphic iff supi n| 1pi− 1
qi|
i <∞.
Proof. If n| 1pi− 1
qi|
i < C for all i , then d(`nipi , `niqi
) ≤ C , just take theidentity map.
Let p = pi0 , q = qi0 , n = ni0 , and assume p < q.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Let T : `np → S~q be a linear embedding. We show that
‖T‖‖T−1‖ ≥ C (n1/p−1/q) for some absolute constant C .
To do this we consider the type 2, n constants of `np and S~q.
Recall the type p, n constant Tp,n(X ) of a Banach space X is thesmallest constant such that for all n vectors x1, . . . , xn ∈ X wehave: (
Aveεi=±1
‖n∑
i=1
εixi‖2)1/2
≤ Tp,n(X )
(n∑
i=1
‖xi‖p)1/p
X is of type p if Tp(X ) = supn Tp,n(X ) <∞.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
If T : X → Y is a linear embedding then
Tp,n(X ) ≤ ‖T‖‖T−1‖Tp,n(Y ).
We have (c.f. Tomczak-Jaegermann):
I Tp(`nq) ≥ nmax(0,1/q−1/p)
I Tp(`nq) ≤ cq1/2nmax(0,1/q−1/p) (1 ≤ q <∞)
I For n ≤ k, Tp,n(`kq) ≤ cq1/2nmax(0,1/q−1/p)
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Fix T : `np → S~q. We estimate T2,n(`np).
On the one hand it is at least n1/p−1/2.
On the other hand, it is ≤ ‖T‖‖T−1‖T2,n(S~q).
A computation using the previous facts and n2/qii < n2/q for i < i0
gives that
T2,n(S~q) ≤√
2cn1/q−1/p
and so ‖T‖‖T−1‖ ≥ 1√2c
n1/p−1/q.
This proves the lemma.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Suppose ~x , ~y ∈∏
[0, bi ].
π(~x) = Sσi (x(i)),~n is uniformly homeomorphic to π(~y) = Sσi (y(i)),~n
⇔ supi n| 1σi (x(i))
− 1σi (y(i))
|i <∞
⇔ supi log(ni )|σi (x(i))− σi (y(i))| <∞
⇔ supi (bi2i )( |x(i)−y(i)|
bi2i+1 ) = 12 supi |x(i)− y(i)| <∞
⇔ ~x `∞ ~y .
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
This shows `∞ = `∞(R) reduces to uniform homeomorphism onseparable Banach spaces.
We also get that `∞ is bi-reducible with ≡L.
For this we need the reverse reduction from ≡L to `∞.
This follows from the following fact.
For any Polish (X , d) let ~xFX ~y iff the d-Hausdorff distancebetween {x(i)} and {y(i)} is finite.
FactFor any Polish (X , d), FX ≤ `∞.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
Dynamics
Let fi : Rn → Rn, i = 1, . . . , k, be contraction mappings, that is‖fi (x)− fi (y)‖ ≤ c‖x − y‖ where c < 1.
There is a unique compact set K = K (f1, . . . , fn) such thatK = f1(K ) ∪ · · · ∪ fk(K ).
We say ~f satisfies the porosity condition if there is a p > 0 suchthat for all balls B of radius r there is a sub-ball B ′ ⊆ B of radiuspr such that B ′ ∩ K = ∅.
If we fix a ball B(r) and a c < 1, then the set of ~f which arecontractions of B(r) with constant c and is a Polish space F (r , c),and the set of ~f satisfying the porosity condition is a closed subsetof F (r , c).
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
We let IFS denote the K ∈ F (Rn) of the form K = K (~f ) for someiterated function system ~f satisfying the porosity condition.
We let Iifs denote the σ-ideal generated by the sets in IFS . So,Iifs ⊆ X is a σ-ideal of closed subsets of Rn.
We recall the following dichotomy theorem of Kechris and Woodin:
Theorem (Kechris,Woodin)
Let I be a Π11 σ-ideal of closed sets in a compact metric space.
Then either I is Π02 or I is Π1
1-complete.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
Every F ∈ Iifs is meager. However the meager ideal is Π02. A
straightforward computation shows that Iifs is Σ12.
TheoremIifs is Π1
1-complete.
More generally, Let P = {pα}α<λ be a family of porosityfunctions, pα : ω → ω.
Let IPifs be the σ-ideal generated by the K (~f ) which have a porosityfunction dominated by a pα ∈ P.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
TheoremLet P be be given and assume there is a g : ω → ω such that
∀p ∈ P ∃∞n (p(n + 1)
p(n)< g(n)).
Then IPifs is Π11-hard.
Corollary
There is an uncountable Borel P such that IPifs is Π11-hard.
When P is countable we get the upper bound: IPifs is Π11.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
So we have:
I If |P| < b, then IPifs is Π11 hard.
I If P is countable then IPifs is Π11-complete.
I If P = ωω then IPifs is Π02.
I There are uncountable Borel P for which IPifs is Π11 hard.
Corollary
The ideal ICifs of all K (~f ) which have a computable porosityfunction is Π1
1-complete.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
Some questions
QuestionAre there any ∆1
1 P for which IPifs is Σ12-complete?
QuestionFor which ∆1
1 P is IPifs Π02, Π1
1, Σ12-complete?
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
Enough to consider n = 1, in fact work in [0, 1].
Fix a reasonable homeomorphism h between ωω and Irr ⊆ [0, 1].
Let Tr be the Polish space of trees on ω and W ⊆ Tr the set ofwellfounded trees. So, W is Π1
1-complete.
We define a continuous map π : T → K ([0, 1]) reducing W to Iifs.
If T ∈W then π(T ) will be countable, and hence in Iifs. If T /∈Wthen we will have π(T ) ⊆ π0(T ) ∪Q where π0(T ) ⊆ Irr ∩ [0, 1] isa closed subset of Irr.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
We actually define π0 : Tr → Tr .
Fix a function b : Q× ω<ω → ω such that for rational porositynumber p and s ∈ ω<ω, we have that for any iterated functionsystem ~f with porosity ≥ p there is a sequence t ∈ ω<ω of length≤ b(p, s) such that h(sat) ∩ K (~f ) = ∅.
This uses the fact that h is reasonable. Actually, b(p, s) dependsonly on p and |s|.
For each n fix a continuous surjection h1/n from ωω to the Polish
space of iterated function systems on [0, 1] with porosity p ≥ 1n
and c ≤ 1− 1n .
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics
IntroductionApplication to functional analysis
sketch of proofApplication to Dynamics
Sketch of proof of lower bound
0 0
s0
t0v0•
p0
s1
t1v1•
p1
I si build a branch through T .
I ti build an IFS . Let t̄ = t̄0at̄1
a · · · (drop first digits) and lett ′i = (t̄)i = t̄〈i ,0〉
at̄〈i ,1〉 · · · .I vi get out of K (~f ).
I h1/ti (0)(t ′i ) is consistent with being an iterated function system~f such that K (~f ) ∩ Nu0av0a···avi = ∅.
I |vi+1| = b(p, u0av0
a · · ·aui+1) where p = 1ti+1(0)
.
S. Jackson Applications of Descriptive Set Theory to Functional Analysis and Dynamics