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Local well-posedness of a supplied truncated coupled RG system

Statement

Let a scheme datum have complex coefficient dimension N≥1 and open logarithmic-scale interval I. Let its open RG domain be Ω⊂I×R2N and its supplied vector field be β:Ω→R2N, continuous and locally Lipschitz in the coefficient coordinates, locally uniformly in logarithmic scale. For every (t0,x0)∈Ω, there are r,h>0 and a finite constant L≥0 such that, for every y,z∈B(x0,r), the initial value problems xy′(t)=β(t,xy(t)),xy(t0)=y, and xz′(t)=β(t,xz(t)),xz(t0)=z, have unique solutions on [t0−h,t0+h]⊂I, with their graphs in Ω, and ∥xy(t)−xz(t)∥2≤eL∣t−t0∣∥y−z∥2(t∈[t0−h,t0+h]). Any two solutions through the same initial data agree on every common interval containing t0. Here local well-posedness means local existence, uniqueness, and this uniform continuous dependence on initial coefficient data. Under C=ρN−1(x), realified solutions give complex coefficient trajectories. The theorem asserts no global solution, no bound on omitted terms, and no calculation of a QFT beta function.

Facts & Assumptions

Given: A scheme datum as in the Statement, (t0,x0)∈Ω, and the stated continuity and locally uniform state-Lipschitz hypotheses.

[F1]

Finite renormalization schemes and Wilson coefficient vectors: the coefficient space is CN; ρN is an isometry to R2N; the supplied RG domain is open in I×R2N and β maps it continuously to R2N.

[F2]

First-order systems, initial value problems, and solutions on intervals: a solution is a differentiable curve in the open domain, through the initial value, whose derivative equals the vector field; a local solution is defined on an interval containing a nondegenerate neighborhood of the initial time.

[F3]

Local Lipschitz continuity in the state variable, locally uniform in time and parameters supplies the same-time state-Lipschitz inequality. Here a compact time-state cylinder means [a,b]×B‾(c,R)⊂Ω, where a,b∈R, a≤b, c∈R2N, R>0, and B‾(c,R)={x:∥x−c∥2≤R}. The locally uniform hypothesis is understood with this product-cylinder convention: on each such product one finite L≥0 bounds ∥β(t,x)−β(t,y)∥2 by L∥x−y∥2 for all pairs at the same time. This specifies the cylinder family left unstated by the supplier; it does not assert a repair of that published definition.

[F4]

Picard-Lindelöf local existence and uniqueness for first-order systems: for a continuous vector field on an open finite-dimensional domain that is locally Lipschitz in the state variable uniformly in time, a unique local solution exists; on a compact cylinder of radius r where ∥β∥2≤M and the state-Lipschitz constant is L, any h>0 with hM≤r and Lh<1 gives a unique solution on the corresponding time interval whose graph stays in that cylinder. Any two solutions with the same initial data agree on every common interval containing that time.

[F5]

A first-order initial value problem is equivalent to its Volterra integral equation: a continuous curve solves the IVP exactly when it satisfies x(t)=x(t0)+∫t0tβ(s,x(s)) ds, with the integral oriented on either side of t0.

Proof

technique · apply the quantitative Picard–Lindelöf theorem on compact cylinders, then prove continuous dependence by iterating the Volterra integral inequality

Given: [F1]–[F5].

1.1givenF1F3construct

Since Ω is open and (t0,x0)∈Ω, choose r,h0>0 so the compact cylinder K=[t0−h0,t0+h0]×B‾(x0,2r) lies in Ω. Continuity of β on K gives a finite bound M, and [F3] gives a single state-Lipschitz constant L there. Choose 0<h≤h0 with h(M+1)≤r and h(L+1)<1; then hM≤r and Lh<1.

2.1givenF4step 1.1algebra

For every y∈B(x0,r), the cylinder [t0−h,t0+h]×B‾(y,r) lies in K. Its vector-field and Lipschitz bounds are at most M and L. Applying [F4] with these bounds and the inequalities from step 1.1 gives a unique solution xy on this same interval, with graph in that cylinder. The common-interval uniqueness clause of [F4] gives agreement on every larger common interval containing t0. The same reasoning applies to every z∈B(x0,r).

3.1F2F3F5step 2.1algebra

Take y,z∈B(x0,r) and put a=∥y−z∥2 and u(t)=∥xy(t)−xz(t)∥2. By [F2] and [F5], xy(t)−xz(t)=y−z+∫t0tg(s) ds, where g(s):=β(s,xy(s))−β(s,xz(s)) is continuous on the closed interval between t0 and t. For continuous g:[a0,b0]→R2N with a0≤b0, define its vector integral componentwise by ∫a0b0g=(∫a0b0g1,…,∫a0b0g2N), with each coordinate integral the Riemann integral. If v=∫a0b0g≠0, set e=v/∥v∥2; using the Euclidean inner product ⟨p,q⟩=∑j=12Npjqj and linearity of the scalar Riemann integral gives ∥v∥2=∫a0b0⟨e,g(s)⟩ ds. Since ∥e∥2=1 and 0≤∥g(s)−⟨e,g(s)⟩e∥22=∥g(s)∥22−⟨e,g(s)⟩2, we have ⟨e,g(s)⟩≤∥g(s)∥2, so ∥v∥2≤∫a0b0∥g(s)∥2 ds; the same inequality is immediate if v=0. Reversing orientation changes the vector integral only by a sign. Since both graphs lie in K, [F3] gives ∥g(s)∥2≤Lu(s) for each s between t and t0; the triangle inequality and the preceding estimate, applied on [min⁡(t,t0),max⁡(t,t0)], yield u(t)≤a+L∫min⁡(t,t0)max⁡(t,t0)u(s) ds. Moreover, each curve remains within radius r of its own initial value; because y,z∈B(x0,r), this gives u(t)≤4r.

4.1step 3.1inductionalgebra

If t≠t0, set d=∣t−t0∣, ε=sgn⁡(t−t0), and v(q)=u(t0+εq) for 0≤q≤d. Step 3.1 gives v(q)≤a+L∫0qv(s) ds and v≤U:=4r. Repeated substitution, by induction on m≥1, yields v(d)≤a∑j=0m−1(Ld)jj!+U(Ld)mm!. For m=1, use v≤U in the integral remainder. The induction step integrates each power sj and uses ∫0dsj ds=dj+1/(j+1).

5.1step 4.1algebra∎

For fixed Ld, the remainder (Ld)m/m! tends to zero since the ratio of successive terms is Ld/(m+1)→0, and the partial sums converge to eLd. Letting m→∞ in step 4.1 gives u(t)≤aeL∣t−t0∣. At t=t0 the same estimate is equality. This is the required continuous-dependence bound.

Remarks

This is a local theorem for the supplied vector field. Its operator input is the current fixed-weight batch-16 quotient interface; no claim is made that the declared relation space is physically exhaustive. No perturbative coefficient, matching relation, global flow, or omitted-term estimate follows from this ODE theorem.

Depends on

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