spectral networks and harmonic maps to buildings
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Spectral Networks and Harmonic Maps to Buildings 3 rd Itzykson - PDF document

Spectral Networks and Harmonic Maps to Buildings 3 rd Itzykson Colloquium Fondation Math ematique Jacques Hadamard IHES, Thursday 7 November 2013 C. Simpson, joint work with Ludmil Katzarkov, Alexander Noll, and Pranav Pandit (in progress)


  1. Spectral Networks and Harmonic Maps to Buildings 3 rd Itzykson Colloquium Fondation Math´ ematique Jacques Hadamard IHES, Thursday 7 November 2013 C. Simpson, joint work with Ludmil Katzarkov, Alexander Noll, and Pranav Pandit (in progress)

  2. We wanted to understand the spectral net- works of Gaiotto, Moore and Neitzke from the perspective of euclidean buildings. This should generalize the trees which show up in the SL 2 case. We hope that this can shed some light on the relationship between this picture and mod- uli spaces of stability conditions as in Kontsevich- Soibelman, Bridgeland-Smith, . . . We thank Maxim and also Fabian Haiden for important conversations.

  3. Consider X a Riemann surface, x 0 ∈ X , E → X a vector bundle of rank r with � r E ∼ = O X , and ϕ : E → E ⊗ Ω 1 X a Higgs field with Tr( ϕ ) = 0. Let p Σ ⊂ T ∗ X → X be the spectral curve, which we assume to be reduced.

  4. We have a tautological form φ ∈ H 0 (Σ , p ∗ Ω 1 X ) which is thought of as a multivalued differential form. Locally we write � φ = ( φ 1 , . . . , φ r ) , φ i = 0 . The assumption that Σ is reduced amounts to saying that φ i are distinct.

  5. Let D = p 1 + . . . + p m be the locus over which Σ is branched, and X ∗ := X − D . The φ i are locally well defined on X ∗ . There are 2 kinds of WKB problems associated to this set of data.

  6. (1) The Riemann-Hilbert or complex WKB problem: Choose a connection ∇ 0 on E and set ∇ t := ∇ 0 + tϕ for t ∈ R ≥ 0 . Let ρ t : π 1 ( X, x 0 ) → SL r ( C ) be the monodromy representation. We also choose a fixed metric h on E .

  7. From the flat structure which depends on t we get a family of maps h t : � X → SL r ( C ) /SU r which are ρ t -equivariant. We would like to un- derstand the asymptotic behavior of ρ t and h t as t → ∞ .

  8. Definition: For P, Q ∈ � X , let T PQ ( t ) : E P → E Q be the transport matrix of ρ t . Define the WKB exponent 1 ν PQ := lim sup t log � T PQ ( t ) � t →∞ where � T PQ ( t ) � is the operator norm with re- spect to h P on E P and h Q on E Q .

  9. (2) The Hitchin WKB problem : Assume X is compact, or that we have some other control over the behavior at infinity. Sup- pose ( E, ϕ ) is a stable Higgs bundle. Let h t be the Hitchin Hermitian-Yang-Mills metric on ( E, tϕ ) and let ∇ t be the associated flat con- nection. Let ρ t : π 1 ( X, x 0 ) → SL r ( C ) be the monodromy representation.

  10. Our family of metrics gives a family of har- monic maps h t : � X → SL r ( C ) /SU r which are again ρ t -equivariant. We can define T PQ ( t ) and ν PQ as before, here using h t,P and h t,Q to measure � T PQ ( t ) � .

  11. Gaiotto-Moore-Neitzke explain that ν PQ should vary as a function of P, Q ∈ X , in a way dic- tated by the spectral networks . We would like to give a geometric framework.

  12. Remark: In the complex WKB case, one can view T PQ ( t ) in terms of Ecalle’s resurgent func- tions . The Laplace transform � ∞ T PQ ( t ) e − ζt dt L T PQ ( ζ ) := 0 is a holomorphic function defined for | ζ | ≥ C . It admits an analytic continuation having infinite, but locally finite, branching.

  13. One can describe the possible locations of the branch points, and this description is compat- ible with the discussion of G.M.N., however today we look in a different direction.

  14. How are buildings involved? Basic idea: let K be a “field” of germs of func- tions on R ≫ 0 , with valuation given by “expo- nential growth rate”. Then { ρ t } : π 1 ( X, x 0 ) → SL r ( K ) .

  15. So, π 1 acts on the Bruhat-Tits building B ( SL r ( K )), and we could try to choose an equivariant harmonic map � X → B ( SL r ( K )) following Gromov-Schoen. However, it doesn’t seem clear how to make this precise.

  16. Luckily, Anne Parreau has developed just such a theory, based on work of Kleiner-Leeb: Look at our maps h t as being maps into a symmetric space with distance rescaled: � � SL r ( C ) /SU r , 1 h t : � X → t d .

  17. Then we can take a “Gromov limit” of the symmetric spaces with their rescaled distances, and it will be a building modelled on the same affine space A as the SL r Bruhat-Tits build- ings.

  18. The limit construction depends on the choice of ultrafilter ω , and the limit is denoted Cone ω . We get a map h ω : � X → Cone ω , equivariant for the limiting action ρ ω of π 1 on Cone ω which was the subject of Parreau’s pa- per.

  19. The main point for us is that we can write d Cone ω ( h ω ( P ) , h ω ( Q )) = 1 lim t d SL r C /SU r ( h t ( P ) , h t ( Q )) . ω

  20. There are several distances on the building, and these are all related by the above formula to the corresponding distances on SL r C /SU r . • The Euclidean distance ↔ Usual distance on SL r C /SU r • Finsler distance ↔ log of operator norm • Vector distance ↔ dilation exponents

  21. We are most interested in the vector distance . In the affine space � x i = 0 } ∼ A = { ( x 1 , . . . , x r ) ∈ R r , = R r − 1 the vector distance is translation invariant, de- fined by − → d (0 , x ) := ( x i 1 , . . . , x i r ) where we use a Weyl group element to reorder so that x i 1 ≥ x i 2 ≥ · · · ≥ x i r .

  22. In Cone ω , any two points are contained in a common apartment, and use the vector dis- tance defined as above in that apartment. In SL r C /SU r , put − → d ( H, K ) := ( λ 1 , . . . , λ k ) where � e i � K = e λ i � e i � H with { e i } a simultaneously H and K orthonor- mal basis.

  23. In terms of transport matrices, λ 1 = log � T PQ ( t ) � , and one can get k � λ 1 + . . . + λ k = log � T PQ ( t ) � , using the transport matrix for the induced con- nection on � k E . Intuitively we can restrict to mainly thinking about λ 1 . That, by the way, is the “Finsler metric”.

  24. Remark: For SL r C /SU r we are only interested in these metrics “in the large” as they pass to the limit after rescaling. Our rescaled distance becomes 1 t log � T PQ ( t ) � . Define the ultrafilter exponent 1 ν ω PQ := lim t log � T PQ ( t ) � . ω

  25. Notice that ν ω PQ ≤ ν PQ . Indeed, the ultrafilter limit means the limit over some “cleverly cho- sen” subsequence, which will in any case be less than the lim sup. Furthermore, we can say that these two expo- nents are equal in some cases, namely:

  26. (a) for any fixed choice of P, Q , there exists a choice of ultrafilter ω such that ν ω PQ = ν PQ . Indeed, we can subordinate the ultrafilter to the condition of having a sequence calculating the lim sup for that pair P, Q . It isn’t a priori clear whether we can do this for all pairs P, Q at once, though. In our example, it will follow a posteriori !

  27. (b) If lim sup t . . . = lim t . . . then it is the same as lim ω . . . . This applies in particular for the local WKB case. It would also apply in the complex WKB case, for generic angles, if we knew that L T PQ ( ζ ) didn’t have essential sin- gularities.

  28. Theorem (“Classical WKB”): X ∗ is a short path, which Suppose ξ : [0 , 1] → � ξ ∗ Re φ i are distinct for all is noncritical i.e. t ∈ [0 , 1]. Reordering we may assume ξ ∗ Re φ 1 > ξ ∗ Re φ 2 > . . . > ξ ∗ Re φ r . Then, for the complex WKB problem we have 1 − → d ( h t ( ξ (0)) , h t ( ξ (1)) ∼ ( λ 1 , . . . , λ r ) t where � 1 0 ξ ∗ Re φ i . λ i =

  29. Corollary: At the limit, we have − → d ω ( h t ( ξ (0)) , h t ( ξ (1)) = ( λ 1 , . . . , λ r ) . Conjecture: The same should be true for the Hitchin WKB problem.

  30. X ∗ is any noncriti- If ξ : [0 , 1] → � Corollary: cal path, then h ω ◦ ξ maps [0 , 1] into a single apartment, and the vector distance which de- termines the location in this apartment is given by the integrals: − → d ω ( h t ( ξ (0)) , h t ( ξ (1)) = ( λ 1 , . . . , λ r ) .

  31. This just follows from a fact about buildings: if A, B, C are three points with − → d ( A, B ) + − → d ( B, C ) = − → d ( A, C ) then A, B, C are in a common apartment, with A and C in opposite chambers centered at B or equivalently, B in the Finsler convex hull of { A, C } .

  32. Corollary: Our map h ω : � X → Cone ω is a harmonic φ -map in the sense of Gromov and Schoen. In other words, any point in the complement of a discrete set of points in � X has a neighborhood which maps into a single apartment, and the map has differential Re φ (no “folding”).

  33. This finishes what we can currently say about the general situation: we get a harmonic φ - map h ω : � X → Cone ω depending on choice of ultrafilter ω , with ν ω PQ ≤ ν PQ , and we can assume that equality holds for one pair P, Q . Also equality holds in the local case. We expect that one should be able to choose a single ω which works for all P, Q .

  34. Now, we would like to analyse harmonic φ - maps in terms of spectral networks. The main observation is just to note that the reflection hyperplanes in the building, pull back to curves on ˜ X which are imaginary foliation curves, including therefore the spectral net- work curves.

  35. Indeed, the reflection hyperplanes in an apart- ment have equations x ij = const . where x ij := x i − x j , and these pull back to curves in � X with equation Re φ ij = 0. This is the equation for the spectral network curves.

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