Calculus facts for the regularized H¹ energy #
Elementary real-analysis inputs to the differentiated energy identity of
lem:lps-regularized-Hk-start and prop:lps-local-strong: differentiation of a
scalar function from a paired increment, L² continuity of products, and the
sup-norm bound of a convolution by L² norms.
A scalar function whose increments over [a,c] are the integrals of the pairing of a path R,
continuous at a, against Θ a + Θ c, with Θ continuous at a, has derivative 2 ⟪R a, Θ a⟫ at a (prop:lps-local-strong).
The squared L² norm of the class of a square-integrable function is its integral of squares.
The squared distance of two L² classes is the integral of the squared difference of
representatives.
Convergence of squared L² distances is continuity of the induced L² path.
Continuity of an L² path gives convergence of the squared L² distances of its
representatives.
The product of a uniformly bounded, uniformly convergent factor with an L²-convergent factor
converges in L².
The pointwise difference of two convolutions with a fixed L² kernel is bounded by the kernel's
L² norm times the L² distance of the two arguments.
The L² class of a time-dependent function, with time clamped to [0, ∞).
Equations
- ESS.LPS.lpsPath f hf s = MeasureTheory.MemLp.toLp (f (max s 0)) ⋯
Instances For
On nonnegative times the clamped L² path is the class of the function itself.
On nonnegative times the clamped L² path is represented by the function itself.
A clamped L² path is continuous at a positive time where it agrees near that time with an
L²-continuous path.
Every value of the clamped L² path is represented by the function at the clamped time.
The clamped L² path of a finite sum of functions is the sum of the paths.
The clamped L² path of a difference is the difference of the paths.
The clamped L² path of a negative is the negative of the path.
The inner product of two clamped L² paths is the integral of the product of the functions at
the clamped times.
Continuity of a clamped L² path at a positive time gives convergence of the squared L²
distances of the underlying functions.
Convergence of squared L² distances at a positive time gives continuity of the clamped L²
path.