惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

爱范儿
爱范儿
T
The Blog of Author Tim Ferriss
G
Google Developers Blog
博客园_首页
博客园 - 【当耐特】
量子位
S
SegmentFault 最新的问题
B
Blog RSS Feed
酷 壳 – CoolShell
酷 壳 – CoolShell
V
Visual Studio Blog
T
Tailwind CSS Blog
阮一峰的网络日志
阮一峰的网络日志
V
V2EX
Y
Y Combinator Blog
博客园 - 聂微东
The Cloudflare Blog
小众软件
小众软件
J
Java Code Geeks
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
月光博客
月光博客
H
Help Net Security
Jina AI
Jina AI
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
宝玉的分享
宝玉的分享

math updates on arXiv.org

Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization Non-normal spectral signatures of instability in neural network training dynamics Optimization of randomized neural networks for transfer operator approximation Selective Ambulance Dispatch Under Contextual Travel-Time Uncertainty LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws On the Stability of Spherical Hellinger-Kantorovich Flows and Their Implications for Differential Privacy Training-Free Looped Transformers Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries Asymmetric Scaling Laws from Sparse Features Is Dimensionality a Barrier for Retrieval Models? RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in Max-Structured DC Programs Commutator-Induced Uncertainty in VAEs Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them Sparse In-Network Learning via Shortest-Path Backpropagation and Finite-Rate Gating Instance-Optimal Estimation with Multiple LLM Judges on a Budget Entropy Equivalence Testing Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation Any-Dimensional Invariant Universality Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models Anytime Training with Schedule-Free Spectral Optimization Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology The General Theory of Localization Methods Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery General Lower Bounds for Differentially Private Federated Learning with Arbitrary Public-Transcript Interactions PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels Proximal basin hopping: global optimization with guarantees
Non-Perturbative Closure of the 3D $ϕ^4$ Field Theory via...
[Submitted on 17 Jun 2026] · 2026-06-18 · via math updates on arXiv.org

View PDF HTML (experimental)

Abstract:We establish a rigorous non-perturbative closure framework for the three-dimensional (3D) $\phi^4$ scalar field theory near criticality, bypassing the long-standing limitations of perturbative Feynman diagrammatic expansions. By slicing the 3D Euclidean space along a spatial axis, the exact dressed theory is mapped onto a matrix operator evolution governed by the infinite-dimensional symplectic Lie algebra $\mathfrak{sp}(\infty)$. We generalize the classical Stroh formalism and Barnett-Lothe integral invariants from anisotropic elasticity to the quantum field Hilbert space. Crucially, we prove that the dressed operator-valued Barnett-Lothe tensors satisfy the algebraic identity $\hat{\mathbf{S}}^2 + \hat{\mathbf{H}}\hat{\mathbf{L}} = -\hat{\mathbf{I}}$ exactly and non-perturbatively, regardless of the coupling strength. By coupling this symplectic invariance with the Källén-Lehmann spectral representation and the Schwinger-Dyson equations, a novel "Symplectic Bootstrap" master spectral integral equation is formulated. The framework exhibits exact dimensional reduction, naturally degenerating to the Onsager exact solution ($\eta = 1/4$) in 2D and the Gaussian triviality limit ($\eta = 0$) in 4D. Solving the transcendental bootstrap equation under the strong-coupling conformal fixed point yields the non-perturbative anomalous dimension $\eta \approx 0.0363$, matching the state-of-the-art conformal bootstrap numerical limits. Finally, a profound holographic duality between the statistical state equations and the post-buckling bifurcation of fluctuating soft matters is discussed.

Submission history

From: Yu-Xin Xie [view email]
[v1] Wed, 17 Jun 2026 03:13:53 UTC (8 KB)