Lindblad-Deformed Spectral Geometry: Heat-Kernel Asymptotics and Effective Spectral Dimension
- URL: http://arxiv.org/abs/2604.00033v1
- Date: Fri, 20 Mar 2026 22:28:25 GMT
- Title: Lindblad-Deformed Spectral Geometry: Heat-Kernel Asymptotics and Effective Spectral Dimension
- Abstract summary: Lindblad-deformed geometric framework in which bounded dissipative data deform a standard triple through the Dirac operator D_gamma = D - igammaSigma.<n>For the scalar L = sqrt(gamma) f with f ininfty(M) real-valued, we prove that the first-order Duhamel correction to the heat trace K_gamma(sigma) = Tr(exp(sigma Q_gamma)) identically.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We introduce a Lindblad-deformed spectral geometric framework in which bounded dissipative data deform a standard spectral triple through the Dirac operator D_gamma = D - igammaSigma, where Sigma = (1/2) sum_k L_k^dagger L_k is constructed from Lindblad jump operators {L_k}. The associated positive operator Q_gamma = D_gamma^* D_gamma = D^2 + gamma^2 Sigma^2 - i*gamma [D, Sigma] is identified as the correct spectral-geometric observable. For smooth endomorphism-valued Lindblad data, Q_gamma is of Laplace type and admits a standard heat-kernel asymptotic expansion with dissipation-modified even Seeley-DeWitt coefficients. For the scalar deformation L = sqrt(gamma) f with f in C^infty(M) real-valued, we prove that the first-order Duhamel correction to the heat trace K_gamma(sigma) = Tr(exp(-sigma Q_gamma)) vanishes identically, so that the first nontrivial dissipative effect appears at order gamma^4. We identify the exact Duhamel-level decomposition of the O(gamma^4) correction into a direct W_2 insertion and a quadratic W_1 x W_1 term. In the round S^2 model we determine the explicit deformed operator and extract the leading local asymptotic contribution of the W_2 sector. We define the effective scale-dependent spectral dimension d_{s,eff}(sigma,gamma) = -2 d/d(log sigma) log K_gamma(sigma) and identify its leading perturbative deformation.
Related papers
- Exceptional Points as Manifestations of Analyticity Breakdown in the 't Hooft Model [1.8867357521563244]
We use the exactly-solvable t Hooft model of 1+1D large-N_c QCD as a rigorous laboratory for the breakdown of analyticity of a causal response function.<n>A PT-symmetric deformation drives the lowest two mesons to an exceptional point (EP) at gamma_c.<n>This is the first analytically-controlled instance of exceptional-point analyticity breakdown in a confining gauge theory.
arXiv Detail & Related papers (2026-06-08T20:17:29Z) - Spectral Kernel Dynamics via Maximum Caliber: Fixed Points, Geodesics, and Phase Transitions [0.0]
We derive a closed-form geometric functional for kernel dynamics on finite graphs by applying the Maximum Caliber (MaxCal) variational principle.<n>The framework is grounded in a structural analogy with Einstein's field equations, used as a guiding template rather than an established equivalence.
arXiv Detail & Related papers (2026-04-10T06:22:17Z) - Muon Dynamics as a Spectral Wasserstein Flow [21.689846521201588]
We introduce a family of Wasserstein norms on positive semidefinite matrices.<n>We prove the equivalence between the static and dynamic Benamou-Brenier formulations.<n>We identify exact gradientity associated with flow models.
arXiv Detail & Related papers (2026-04-06T17:41:12Z) - Critical behavior of the Schwinger model via gauge-invariant VUMPS [0.0]
We study the lattice Schwinger model by combining the variational uniform matrix product state (VUMPS) algorithm with a gauge-invariant matrix product ansatz.<n>We analyze the scaling in the simultaneous critical and limits continuum and confirm that the data collapse aligns with the Ising class to remarkable precision.
arXiv Detail & Related papers (2024-12-04T18:59:18Z) - Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation [22.652143194356864]
We address the problem of solving strongly convex and smooth problems using gradient descent (SGD) with a constant step size.<n>We provide an expansion of the mean-squared error of the resulting estimator with respect to the number of iterations $n$.<n>Our analysis relies on the properties of the SGDs viewed as a time-homogeneous Markov chain.
arXiv Detail & Related papers (2024-10-07T15:02:48Z) - KPZ scaling from the Krylov space [83.88591755871734]
Recently, a superdiffusion exhibiting the Kardar-Parisi-Zhang scaling in late-time correlators and autocorrelators has been reported.
Inspired by these results, we explore the KPZ scaling in correlation functions using their realization in the Krylov operator basis.
arXiv Detail & Related papers (2024-06-04T20:57:59Z) - Theory of free fermions under random projective measurements [43.04146484262759]
We develop an analytical approach to the study of one-dimensional free fermions subject to random projective measurements of local site occupation numbers.
We derive a non-linear sigma model (NLSM) as an effective field theory of the problem.
arXiv Detail & Related papers (2023-04-06T15:19:33Z) - Optimal policy evaluation using kernel-based temporal difference methods [78.83926562536791]
We use kernel Hilbert spaces for estimating the value function of an infinite-horizon discounted Markov reward process.
We derive a non-asymptotic upper bound on the error with explicit dependence on the eigenvalues of the associated kernel operator.
We prove minimax lower bounds over sub-classes of MRPs.
arXiv Detail & Related papers (2021-09-24T14:48:20Z) - Spectral clustering under degree heterogeneity: a case for the random
walk Laplacian [83.79286663107845]
This paper shows that graph spectral embedding using the random walk Laplacian produces vector representations which are completely corrected for node degree.
In the special case of a degree-corrected block model, the embedding concentrates about K distinct points, representing communities.
arXiv Detail & Related papers (2021-05-03T16:36:27Z) - Understanding Implicit Regularization in Over-Parameterized Single Index
Model [55.41685740015095]
We design regularization-free algorithms for the high-dimensional single index model.
We provide theoretical guarantees for the induced implicit regularization phenomenon.
arXiv Detail & Related papers (2020-07-16T13:27:47Z) - Spectral density estimation with the Gaussian Integral Transform [91.3755431537592]
spectral density operator $hatrho(omega)=delta(omega-hatH)$ plays a central role in linear response theory.
We describe a near optimal quantum algorithm providing an approximation to the spectral density.
arXiv Detail & Related papers (2020-04-10T03:14:38Z) - On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and
Non-Asymptotic Concentration [115.1954841020189]
We study the inequality and non-asymptotic properties of approximation procedures with Polyak-Ruppert averaging.
We prove a central limit theorem (CLT) for the averaged iterates with fixed step size and number of iterations going to infinity.
arXiv Detail & Related papers (2020-04-09T17:54:18Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.