dAlembert_cosh_solution_aczel
plain-language theorem explainer
Continuous solutions of d'Alembert's functional equation with H(0)=1 and H''(0)=1 coincide with the hyperbolic cosine. Recognition Science researchers cite this to establish the explicit form of the shifted cost under the composition law. The argument first invokes Aczél smoothness to reach infinite differentiability, derives the ODE H''=H, and concludes via ODE uniqueness.
Claim. Let $H:ℝ→ℝ$ be continuous and satisfy $H(t+u)+H(t-u)=2H(t)H(u)$ for all real $t,u$, with $H(0)=1$ and $H''(0)=1$. Then $H(t)=cosh(t)$ for all real $t$.
background
In Recognition Science the shifted cost is $H(x)=J(x)+1$, where $J$ satisfies the Recognition Composition Law. Under this change of variable the RCL becomes d'Alembert's equation $H(t+u)+H(t-u)=2H(t)H(u)$. The module supplies supporting lemmas for the T5 uniqueness argument. The AczelSmoothnessPackage states that every continuous solution with $H(0)=1$ is $C^∞$. Upstream, dAlembert_to_ODE_theorem shows that the functional equation plus $H''(0)=1$ forces the ODE $H''=H$ everywhere.
proof idea
The term proof first applies aczel_dAlembert_smooth to obtain ContDiff ℝ ⊤ H, then uses dAlembert_even to establish evenness and even_deriv_at_zero to obtain H'(0)=0. It invokes dAlembert_to_ODE_theorem to derive the ODE H''=H, reduces to ContDiff ℝ 2 H, and finishes by applying ode_cosh_uniqueness_contdiff.
why it matters
This supplies the cosh identification required by washburn_uniqueness_aczel, which proves that the J-cost is the unique reciprocal cost obeying the composition law, normalization, calibration, and continuity. It fills the explicit-solution step in the T5 J-uniqueness forcing chain. The result also supports the downstream discharge lemmas aczel_kannappan_via_cases and cosh_rescaling_lemma in the AxiomDischargePlan.
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papers checked against this theorem (showing 23 of 23)
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Homotopy training lifts unrolled imaging PSNR by 2.5 dB
"We define a continuation path strategy to transition smoothly from the synthetic fidelity to the desired ill-posed problem... Theorem 1 (Smooth path of unrolled solutions). Under A1–A2 the fixed-point equation x=T_α(x) admits a unique solution x̂_α=fix(T_α) for every α∈[0,1]. The mapping α↦x̂_α lies in C^1[0,1] and obeys ∥x̂_α1−x̂_α2∥2≤τL/(1−β(1−τL))|α1−α2|."
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Chaotic systems acquire linear phase winding in operator wavefunctions
"Krylov wavefunction φ_n(t_β) = sqrt[...] tanh[α(t_β)]^n / cosh[α(t_β)]^{2Δ} with phase θ_K(t) = Arg[tanh(α t_β)] and exponential decay exp(−2 n e^{-2α t} cos(α β/2))"
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Weak long-range couplings trigger topological transitions
"h(k) = J1 + (J2 - J e^{-λ})e^{-ik} + J (cosh λ - cos k)^{-1} ..."
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Randomized algorithm cuts oracle calls for ordered-norm load balancing
"We need and show that these have non-trivial stability properties... bounded gradient increase... ∇Ψ(x+y)≤exp(η∥y∥∞)·∇Ψ(x)"
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Nested radicals of 2 prove pi is irrational
"by induction it follows that cos(π/2^{k+1}) = (1/2) c_k"
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Pb-Pb v2 data reveal multiple particle sources
"¯ρ2(yt,φr)∝ exp{−m[cosh(yt− Δyt(φr))− 1]/T2} ... factored as ¯ρ2(yt, Δyt0)×F1×F2 with monopole and quadrupole boost components (Eqs. 3–4)"
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Explicit Koenigs functions derived for Poisson branching
"The obtained explicit solutions contain the exponential Bell polynomials and the modified exponential-integral function Ein(z). ... Abel’s equation A(F(t,s))=f'(1)t+A(s) with integral ∫(λ−1)dx/(e^{−λ}e^{λx}−x)"
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Tether aerodynamics solved in milliseconds for UAVs
"analytical method based on catenary theory with a uniform drag assumption... y = a*cosh((x-x0)/a) + y0"
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Polar flow matching adapts graphs while preserving topology
"Hyperbolic (H, c <0 ):The volume expands exponentially, satisfying: lim R→∞ Vol(BH(R))/exp((d−1)√|c|R) =const>0. ... Theorem 4.2 ... gradient flows for structural preservation (∇rL) and semantic alignment (∇θL) are orthogonal under the Riemannian metric: ⟨∇rL,∇θL⟩g=0."
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Local Bernstein bounds extend Erdős lower bounds to short intervals
"Theorem 1.6 (Local Bernstein theory) … |f(x+iy)| ≤ A (1+O(e^{-πL/4y0})) cosh((1+O(1/(λ min(y0,L)))) λ y)"
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Single-qubit process tomography reduces to linear regression
"the density matrix belongs to the quantum exponential family with the Pauli matrices serving as sufficient statistics... the BKM metric corresponds to the Hessian of the exponential family potential"
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Newton methods converge superlinearly with nonlinear preconditioning
"ϕ(x)=cosh(|x|)-1 ... Assumption 2.2 holds relative to ϕ with constant LH"
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Hyperbolic space gives fonts a radial style-specificity score
"entailment cones... aperture aper(x) = sin⁻¹(2K√c ∥x_space∥)... wider cones near the origin and narrower cones farther away... radial distance from the origin quantifies... style specificity"
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Phase shift of π maps Fermi-Hubbard to Bose-Hubbard at imaginary μ
"g_B(x, ϕ) = sinh x / (cosh x − cos ϕ) and g_B(x, ϕ) = g_F(x, ϕ + π) (Eqs. 36, 76)"
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Dual-manifold attention resolves 3D captioning trade-off
"GHL (x,y) = 1/√c arcosh(−c⟨x,y⟩L)"
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Dual-stream radar model reaches 80.5% sign language accuracy
"explicit decibel-to-linear inversion ... Rlin = 10^(RdB/20) ... windowed FFT ... avoiding harmonic artifacts that arise from the spectral analysis of log-compressed signals"
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HyRo decouples hyperbolic alignments for better segmentation
"HyRo aligns hierarchical levels by adjusting the hyperbolic radius and refines semantic relationships through angular alignment using an orthogonal transformation that theoretically preserves the hyperbolic radius."
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Galileon lacks stable acceleration attractors in phase space
"We consider a Galileon scalar field endowed with a cosh type potential... V(ϕ)=V0[cosh(αϕ/Mpl)−1]p ... Γ=1−1/(2p)+pα²/(2λ²)"
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Memory curvature causes net transport in irrotational flows
"Am(t) = ∫ K(τ) ∇u(t−τ) dτ ... [Am(t1),Am(t2)] ≠ 0 ... ℛ(t1,t2) = ∬ K(τ1)K(τ2)[∇u(t1−τ1),∇u(t2−τ2)] dτ1dτ2"
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2D higher-spin gravity yields infinite tower of massive scalars
"M²(k)=M² cosh²(k/2) ... exponential basis (3.10)"
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Slightly subcritical agents enable collective criticality
"L(p_micro, v_r) = |α_S − 1.5| + |α_T − 2| + KS_S + KS_T ... reference values 1.5 and 2 correspond to the classical critical exponents predicted by simple branching-process models"
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Unconditional tangent scores bound conditional diffusion error by mutual information
"We analyze this issue through a normal–tangent decomposition of the score function. For Gaussian noising, the observed-direction score is exactly determined by the measurement; only the tangent conditional score is unknown."
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A Noble-Gas-Centered Coordinate for Within-Period Atomic Property Trends
"Appendix A: J(xy) + J(x/y) = 2J(x)J(y) + 2J(x) + 2J(y) ... unique solution J(x) = ½(x+x⁻¹) − 1 = cosh(ln x) − 1 (Corollary 3.1 of Ref. [5])"