Linear algebra of iterated weak derivatives #
The datum of the differentiated equation is a finite sum of signed terms, each a bounded
weight against a derivative of the solution. EllipticPdes.Regularity.MulIterated supplies
the weight; this file supplies the sum.
The same observation appears at three levels: weak differentiation is linear, so an order-k
family of a sum is the entrywise sum of the families, and the triangle inequality turns a bound
on each summand into a bound on the sum. The constants add rather than being optimised, which is
all the induction of Guo, Partial Differential Equations (Course Lecture Notes),
Theorem VIII.3.2 (p. 65) needs: its constant is quantified before the solution and the datum,
and nothing constrains its size.
Main declarations #
HasWeakDerivOn.zero,HasWeakDerivOn.neg,HasWeakDerivOn.sum: linearity of the weak derivative on a region.HasIteratedWeakDerivOn.neg,.sub,.sum: the families.IteratedL2Bound.add,.neg,.sub,.sum: the bounds.
Linearity of the weak derivative #
The zero class has zero weak derivative: both sides of the integration by parts vanish.
A weak derivative of a negation is the negation of the weak derivative.
A weak derivative of a finite sum is the sum of the weak derivatives.
Families #
The order-k family of a negation, entry by entry.
Instances For
The order-k family of a difference. The datum of the induction step is a signed
combination, so subtraction is as basic here as addition.
Instances For
The order-k family of a finite sum, entry by entry.
Equations
Instances For
Bounds #
The bound on a sum of two families is the sum of the bounds.
A negation has the same bound.
The bound on a difference of families is the sum of the bounds.
The bound on a finite sum of families is the sum of the bounds.