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Complete symmetrized constant-coefficient evolution
Statement
Assume countable choice. Let , let , and let be constant matrices. Assume is positive definite, each is symmetric, and is positive semidefinite. Consider
Use Schwartz space and its seminorms: for and multi-indices , the scalar seminorm is , and consists of functions for which all these seminorms are finite. Here means maps with real-valued components such that each component, viewed as complex-valued with zero imaginary part, belongs to ; its vector seminorms are . For there is a unique global smooth solution, Schwartz in at each time and continuous in every on compact time intervals. With the negative-sign, -normalized Fourier transform, put and define, for ,
For , for every ; hence the solution depends continuously on the data in each such norm. The same conclusions hold for smooth periodic data on the flat torus , , with Fourier coefficients and
For periodic data, for each integer .
For a unit vector , write and . The finite speed
is finite. If , , and vanishes on , then vanishes on for . The same assertion holds on using its geodesic distance. If , every and the system is a pointwise linear ODE, so spatial support does not move. These are conclusions for the displayed linear systems; no variable-coefficient or nonlinear existence claim is included.
Facts & Assumptions
Given: , constant real matrices with the stated symmetry and positivity conditions, or , and in the periodic case. Use the Fourier convention fixed in the Statement.
Countable choice is assumed, with no stronger choice principle (The Axiom of Countable Choice ()). It is the choice strength carried by the Fourier and divergence suppliers below.
Fourier transform acts continuously on Schwartz space: the negative-sign, -normalized Fourier transform maps continuously into itself.
Fourier inversion on Schwartz space: for , absolutely for every .
Plancherel theorem: under , the same transform extends uniquely to a unitary map on complex .
Fourier transform agrees with l one and plancherel transforms: the integral and Plancherel transforms agree as tempered distributions on and inputs, so the Schwartz Fourier-mode construction has the stated distributional and meanings.
Divergence on a bounded C1 Euclidean domain: under , a vector field on the closure of a bounded domain in , , satisfies with the outward normal and Euclidean surface measure.
Schwartz space and its seminorms defines the scalar complex Schwartz space by the seminorms above. The real -valued data class and its seminorms in the Statement are the componentwise real subspace, with the finite maximum convention stated there.
Proof
For any real symmetric matrix , maximize on the compact unit sphere. Differentiating along every tangent direction shows the maximizing vector is an eigenvector; its orthogonal complement is invariant under , so induction gives an orthonormal eigenbasis. Applying this to constructs and . The condition makes symmetric. Therefore each eigenvalue in is real and has absolute value at most , so . With and , the product rule gives for every smooth solution, and by diagonalizing .
For Schwartz data, [F1] permits componentwise Fourier transformation of the system, giving with . The matrix exponential , defined by its locally uniformly convergent power series, solves this finite-dimensional ODE. For , , because is real symmetric and its multiple by has zero real quadratic part. Thus for , uniformly in ; for , , so Grönwall gives a uniform bound on bounded time intervals.
Differentiating the matrix exponential with respect to gives . Repeating this identity expresses every fixed -derivative as a finite sum of ordered insertion integrals with constant matrix factors between evolution matrices. The uniform bounds from step 1.2 and the finite integration-simplex volumes bound each such derivative uniformly in on compact time intervals. Time derivatives multiply by and therefore have at most polynomial growth in . Leibniz's rule now shows is Schwartz, uniformly in its seminorms on compact time intervals.
For periodic smooth data, integration by parts in a coordinate with maximal gives for every . The series and every differentiated series converge uniformly on compact time intervals, by the same matrix-exponential derivative bounds and the lattice-shell estimate that a unit-width shell in has points. Hence it is a global smooth periodic solution and solves the PDE termwise. The modewise -estimate from step 1.2 yields contraction of every weighted coefficient norm. For , Cauchy–Schwarz and give ; the first sum converges by the shell bound, proving the asserted uniform norm estimate. Integrating the equation against each periodic exponential shows that every solution coefficient solves the same finite-dimensional ODE, proving uniqueness.
Define . By [F2] this inverse is pointwise the absolutely convergent Fourier integral; the decay proved in step 2.1 permits every spatial and time derivative to pass under that integral, proves the PDE, and recovers . Conjugation symmetry of and makes real.
By [F3] the Plancherel transform is unitary, and [F4] identifies it with the integral transform in . Multiplying the pointwise -norm estimate in step 1.2 by and integrating gives the stated contraction for every .
Fix , , and . Put and . In polar coordinates, the fundamental theorem of calculus differentiates this moving-ball integral; the PDE energy identity and [F5] then give , since . If the initial data vanish on , then ; positivity of and force by continuity as . For any with , the ball is contained in , proving the stated shrinking-ball conclusion. Applying the same argument to the difference of two solutions proves local uniqueness. Periodic lifts give the identical geodesic-ball conclusion on . If , every symmetric has zero spectrum and hence is zero, so each ; the pointwise ODE preserves spatial support.