Iterated distributional partial derivative in the i-th coordinate, applied k times.
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The multi-index distributional derivative D^α u, applied coordinate by coordinate.
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Characterization of H^m (for integer m ≥ 0): every multi-index derivative D^α u with |α| ≤ m lies in L².
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The iterated coordinate distributional derivative agrees with FourierInversion.iterDistribDerivCoord.
The multi-index distributional derivative agrees with FourierInversion.iterDistribDeriv.
The absolute value of ⟨ξ, e_j⟩ is bounded by ⟨ξ⟩ = sqrt(1 + ‖ξ‖²).
Differentiation lowers Sobolev regularity by one: if u ∈ H^s, then ∂_j u ∈ H^{s-1}.
Iterated coordinate differentiation lowers Sobolev regularity by k: H^s → H^{s-k} for ∂_j^k.
Sobolev regularity loss for a fold over a list of coordinates: lowering by the sum of orders along the list.
Melrose Proposition 10.2: D^α : H^s → H^{s - |α|}.
The zero multi-index derivative D^0 is the identity.
Demotion: if all derivatives up to order m + 1 lie in L^2, then so do all derivatives up to order m.
Distributional partial derivatives in different directions commute.
The iterated partial derivative in coordinate i commutes with ∂_j.
A foldr of iterated partial derivatives commutes with an additional ∂_j.
If j does not appear in l, updating α at j does not affect the fold over l.
Applying D^α after one further ∂_j equals applying D^{α with α_j ↦ α_j + 1}.
Incrementing α j increases the multi-index order by exactly one.
If all derivatives of order ≤ m + 1 of u lie in L², then ∂_j u has all derivatives of order ≤ m in L².
Multiplying the Fourier-side L² representative by the Sobolev weight ⟨·⟩ stays in L², given derivative regularity.
Inductive step: if u ∈ H^m and every ∂_j u ∈ H^m, then u ∈ H^{m+1}.
If all multi-index derivatives of u up to order m lie in L², then u ∈ H^m.
Melrose Lemma 9.4 (integer case): u ∈ H^m ↔ all D^α u with |α| ≤ m lie in L².