ScalingStacks

Verified tagged author-source HTML · 2007.01384v1 · cited publication edition alignment unverified.

Let ΔJ\Delta_{J} correspond to EJ=∩i∈JEiE_{J}=\cap_{i\in J}E_{i} as usual. We first explain how to associate a class in H1,1​(EJ)H^{1,1}(E_{J}) to each x∈Int​(ΔJ)x\in\text{Int}(\Delta_{J}). Let xix_{i} be the local affine coordinate corresponding to EiE_{i} for any i∈Ii\in I; we will only need Ei∩EJ≠∅E_{i}\cap E_{J}\neq\emptyset. We introduce an overparametrisation: let uu be a function of all {xi}i∈I\{x_{i}\}_{i\in I}, such that uu agrees with ϕ\phi at least on a neighbourhood of Int​(ΔJ)⊂Δ𝒳\text{Int}(\Delta_{J})\subset\Delta_{\mathcal{X}}, and we assume uu is smooth. Here xix_{i} are treated as independent variables for uu, even though on Δ𝒳\Delta_{\mathcal{X}} they satisfy various linear constraints. Consider the class in H1,1​(EJ)H^{1,1}(E_{J}) defined by the affine linear combination of derivatives:

𝒟J​(x,‖⋅‖)=c1​(ℒ)−∑I∂u∂xi​c1​(𝒪⁡(Ei))\mathcal{D}_{J}(x,\left\lVert\cdot\right\rVert)=c_{1}(\mathcal{L})-\sum_{I}\frac{\partial u}{\partial x_{i}}c_{1}(\mathcal{O}(E_{i})) (12)

which depends only on ϕ\phi because in H1,1​(EJ)H^{1,1}(E_{J})

c1​(𝒪⁡(∑IEi))=c1​(div​(d​t))=0,c1​(𝒪⁡(Ei))=0∀Ei∩EJ=∅.c_{1}(\mathcal{O}(\sum_{I}E_{i}))=c_{1}(\text{div}(dt))=0,\quad c_{1}(\mathcal{O}(E_{i}))=0\quad\forall E_{i}\cap E_{J}=\emptyset.

Notice ‖⋅‖=‖⋅‖ℒ​e−ϕ\left\lVert\cdot\right\rVert=\left\lVert\cdot\right\rVert_{\mathcal{L}}e^{-\phi} and 𝒟J​(x,‖⋅‖)\mathcal{D}_{J}(x,\left\lVert\cdot\right\rVert) are invariant under the change

ℒ→ℒ+∑Idi​Ei,ϕ→ϕ+∑Idi​ϕEi\mathcal{L}\to\mathcal{L}+\sum_{I}d_{i}E_{i},\quad\phi\to\phi+\sum_{I}d_{i}\phi_{E_{i}}

where di∈ℝd_{i}\in\mathbb{R} and ϕEi\phi_{E_{i}} denote the model functions associated to EiE_{i}. Thus the function 𝒟J​(x,‖⋅‖)\mathcal{D}_{J}(x,\left\lVert\cdot\right\rVert) on Int​(ΔJ)\text{Int}(\Delta_{J}) is intrinsically associated to ‖⋅‖\left\lVert\cdot\right\rVert.

Original mathematics by the credited authors. Source collection and HTML conversion remain in progress.