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Derivative of the quadrant modification

Statement

Assume the Axiom of Countable Choice. Under the dominated-kernel hypotheses and definitions of the quadrant-modification lemma, assume B(t) and L(t) are continuous in induced norm. Then M is continuously differentiable and M˙(t)=L(t)−B(t).

For an E-valued curve H, continuity in induced norm means that for every t∈R and ε>0 there exists δ>0 such that ∥H(v)−H(t)∥<ε whenever ∣v−t∣<δ. Its derivative H˙(t)=D∈E means that ∥(H(t+h)−H(t))/h−D∥→0 as the nonzero real number h tends to zero. Continuously differentiable means that this derivative exists at every real t and that t↦H˙(t) is continuous in the same sense.

Facts & Assumptions

[F1]

Use the quadrant-modification supplier's spaces V,E, induced norm, product-measurable kernel G, Lebesgue measure, envelope q and absolutely convergent maps B,L,M. All map integrals agree with their finite matrix-unit coordinate integrals. Bounded quadrant modification and generator norms

[F2]

On sigma-finite measure spaces, a nonnegative product-measurable function has measurable section integrals, and its product and both iterated integrals agree, including before finiteness is known. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product

[F3]

On sigma-finite measure spaces, a complex product-measurable function with integrable absolute value has equal product and iterated integrals, using integrable section-integral representatives and the usual almost-everywhere convention. Fubini's theorem for L¹ functions on a sigma-finite product

[F4]

Complex L1 functions form a vector space and their integral is linear; ∣∫f∣≤∫∣f∣ for f∈L1; the nonnegative integral is monotone and homogeneous for nonnegative scalars. Apply these scalar results to the coordinates of maps. The Lebesgue integral is linear on L¹(μ) The modulus of an integral is bounded by the integral of the modulus Monotonicity and nonnegative homogeneity of the nonnegative integral

[F5]

Assume the Axiom of Countable Choice. Under this hypothesis, the box-measure theorem with n=1 makes every bounded interval with endpoints a≤b, with any endpoint convention, Lebesgue measurable of measure b−a. In particular λ([−m,m])=2m for positive integers m and λ({c})=0 for every real c. The Axiom of Countable Choice (AC_ω) A box in ℝⁿ with parameters aᵢ≤ bᵢ is Lebesgue measurable of measure ∏_i<n(bᵢ-aᵢ), whichever of its faces are included

[F6]

The simple-integral definition and its agreement with the nonnegative integral give ∫1D dμ=μ(D) for every measurable set D. A nonnegative measurable function has integral zero over a measurable null set. These statements apply both to λ and to its product measure. The integral of a nonnegative simple function The nonnegative integral agrees with the simple integral on simple functions A nonnegative integral over a null set vanishes

[F7]

Assume Countable Choice. If U,V⊆Rn are open, T:U→V is a C1 diffeomorphism and h∈L1(V,λn), then ∫Vh(y)dy=∫Uh(T(x))∣det⁡DT(x)∣dx. We use only affine bijections of the real line with slopes 1 or −1, whose inverses are affine and whose derivatives and inverse derivatives are constant, so the Jacobian modulus is 1. Change of variables for integrable functions

Proof

Given: Countable Choice, the stated kernel, spaces and continuous B,L. Goal: Differentiate M in induced norm.

1.1givenF1F4F7

Put A(s,u)=G(s,u)−G(u,s), so A(u,s)=−A(s,u). For a matrix unit eij, the coordinate cij,kl(T)=(T(eij))kl satisfies ∣cij,kl(T)∣≤∥T∥, because ∥eij∥sp=1 and every matrix entry is bounded by the spectral norm. Conversely, let Hij,kl(X)=Xijekl. Then ∥Hij,kl∥=1 and T=∑ij,klcij,kl(T)Hij,kl, so ∥T∥≤∑ij,kl∣cij,kl(T)∣. There are N=d4 such coordinates. The coordinate-swap map is measurable on the product sigma-algebra (inverse images of rectangles are rectangles), hence A, its coordinates and its norm are product-measurable. Apply [F7] to q∈L1(R) with the affine maps s↦s−v and s↦v−s. Both transformed integrals equal ∫q=Γ/2; thus for every v, ∫R∥A(s,v)∥ds≤∫R(q(s−v)+q(v−s))ds=Γ. The same bound holds for the other section orientation by these same two substitutions.

2.1F2F4F5F6step 1.1

By [F5], the intervals [−m,m] of finite measure cover R, so both Lebesgue spaces are sigma-finite. For a fixed c∈R, the sets R×{c} and {c}×R are product-measurable. Tonelli [F2] applied to their indicators, integrating first in the singleton coordinate, gives product measure zero: each inner integral is λ({c})=0 by [F5] and [F6], and the outer integral of the zero function is zero by [F4]. This avoids multiplying zero by infinite measure. By [F6], the integral of ∥A∥ over either line is zero; the coordinate bound in step 1.1 and [F4] then show that every coordinate integral over either line is zero. The same holds over finite unions of these lines by splitting into disjoint measurable pieces. Also [F5] and [F6] give ∫J1 dλ=b−a for every interval J with finite endpoints a<b, independently of its endpoint convention; [F4] supplies the corresponding constant-integrand formulas.

3.1F1F2F3F4F7step 1.1step 2.1

Put f(r)=q(r)+q(−r). By [F7] and scalar linearity [F4], f is measurable and integrable with ∫f=Γ. Applying [F7] to the integrable function ∣r∣q(r)1{r<0} with reflection, and splitting its first moment by [F4], gives ∫0∞rf(r)dr=∫R∣r∣q(r)dr≤Γτ. Fix t and set Qt={(s,u):s>t, u<t}. For each s>t, apply [F7] with u↦s−u to the integrable function f(r)1{r>s−t} to obtain ∫−∞tf(s−u)du=∫s−t∞f(r)dr. Since ∥A(s,u)∥≤f(s−u), Tonelli [F2] applied to the product-measurable function 1{t<s<t+r}f(r) yields ∫t∞ds∫−∞tdu ∥A(s,u)∥≤∫0∞dr∫tt+rds f(r)=∫0∞rf(r)dr≤Γτ. The last equality uses the constant-integrand formula of step 2.1. Apply [F2] also to 1Qt∥A∥, which is product-measurable by step 1.1. Its product integral is finite by the preceding iterated bound. Each coordinate of 1QtA is therefore absolutely product-integrable. Its actual inner section integrals are finite at every parameter by step 1.1 and measurable by applying [F2] to the positive and negative real and imaginary coordinate parts. Thus [F3] identifies their product and iterated integrals, and the definition of M in [F1] gives M(t)=∫QtA d(λ×λ) coordinatewise for every t. This derives the needed quadrant identity locally.

4.1F1F2F3F4step 1.1step 2.1step 3.1

Fix a<b and put I=(a,b). Use the sigma-finiteness and interval-integral formulas from step 2.1. Apply [F2] to the product-measurable function 1I(v)∥A(s,v)∥; step 1.1 and monotonicity give ∫R×I∥A(s,v)∥ d(λ×λ)≤Γ(b−a)<∞. Thus each coordinate of A restricted to this strip, its measurable subsets, and the square I×I has integrable absolute value. The quadrant restrictions are also absolutely integrable by step 3.1. Apply [F3] coordinatewise on these regions whenever changing integration order. Every section needed here is integrable by step 1.1; [F2] applied to the positive and negative parts of its real and imaginary coordinates gives measurable actual section integrals. Thus the almost-everywhere convention in [F3] does not affect the outer integrals or substitute for any fixed-time marginal.

5.1F1F3F4step 1.1step 2.1step 3.1step 4.1

Write Qt={(s,u):s>t, u<t} and ∫DA=∫DA d(λ×λ), interpreted coordinatewise. Use the locally derived product-integral identity in step 3.1. Subtract the absolutely convergent quadrant integrals and split their indicators using [F4]. Up to null boundary lines, the gained region is (b,∞)×I and the lost region is I×(−∞,a). Consequently M(b)−M(a)=∫Idv∫b∞A(s,v)ds−∫Idv∫−∞aA(v,u)du=∫Idv∫R∖IA(s,v)ds, where antisymmetry changes the second minus sign to plus. The square integral S=∫Idv∫IA(s,v)ds equals −S by [F3] and antisymmetry, so S=0. Adding it gives M(b)−M(a)=∫abdv∫RA(s,v)ds. Every split and change of order is among the integrable restrictions established in step 4.1; step 2.1 supplies the zero product measures and zero coordinate integrals of all boundary lines.

6.1givenF1F4step 2.1step 5.1

By the definitions in [F1] and scalar linearity [F4], ∫RA(s,v)ds=L(v)−B(v) for every v. Put F=L−B. For each t and ε>0, choose a continuity radius for each of L,B with tolerance ε/2 and take their minimum. The triangle inequality gives ∥F(v)−F(t)∥≤∥L(v)−L(t)∥+∥B(v)−B(t)∥<ε within this radius, so F is continuous in the sense defined in the Statement. Step 5.1 gives M(b)−M(a)=∫abF(v)dv for every a<b. Therefore for every nonzero real h, (M(t+h)−M(t))/h−F(t)=h−1∫tt+h(F(v)−F(t))dv, with ∫tt+h=−∫t+ht when h<0. All these integrals are coordinate integrals of integrable functions; the interval-integral formula in step 2.1 gives hF(t) for the constant term, with the stated orientation when h<0.

7.1givenF4step 1.1step 2.1step 6.1∎

Fix t and ε>0. Continuity of F gives δ>0 such that ∥F(v)−F(t)∥<ε/N whenever ∣v−t∣<δ. If 0<∣h∣<δ, each coordinate of the last expression in step 6.1 has modulus at most ∣h∣−1∫min⁡(t,t+h)max⁡(t,t+h)∣cij,kl(F(v)−F(t))∣dv≤ε/N by [F4], the coordinate bound in step 1.1 and the interval-integral formula in step 2.1. Summing the N coordinate estimates gives ∥(M(t+h)−M(t))/h−F(t)∥≤ε. This proves the two-sided derivative M˙(t)=F(t)=L(t)−B(t) at every t; it is continuous since F is continuous.

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