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Replaced article(s) found for math.DG. https://arxiv.org/list/math.DG/new
[1/3]:
- Family index for Fredholm extensions of semi-Fredholm operators
Marina Prokhorova
https://arxiv.org/abs/2401.16060 https://mastoxiv.page/@arXiv_mathDG_bot/111843359116350796
- Constructing stable Hilbert bundles via Diophantine approximation
Yucheng Liu, Biao Ma
https://arxiv.org/abs/2501.15784
- Ricci Solitons of Left-Invariant Metrics on Lie Groups with Derived Algebra of Dimension at Most Two
Hamid Reza Salimi Moghaddam
https://arxiv.org/abs/2601.10730 https://mastoxiv.page/@arXiv_mathDG_bot/115920688396400257
- Mass and rigidity in almost K\"ahler geometry
Partha Ghosh
https://arxiv.org/abs/2603.08627 https://mastoxiv.page/@arXiv_mathDG_bot/116204063956883755
- Classifying Slice-Regular Polynomials via Group Actions on the Twistor Space
Chunlin Liu, Giovanni Moreno, Haipan Shi
https://arxiv.org/abs/2605.22788 https://mastoxiv.page/@arXiv_mathDG_bot/116617182455085202
- $G_2$ and the Maximally Symmetric (3, 8) Distribution with 6-Dimensional Square
Nicklas Day, Boris Doubrov, Igor Zelenko
https://arxiv.org/abs/2605.25910 https://mastoxiv.page/@arXiv_mathDG_bot/116639966776117301
- Cohn--Vossen-Type Inequalities for Three-Manifolds and Locally Conformally Flat Manifolds
Jialong Deng
https://arxiv.org/abs/2606.01368 https://mastoxiv.page/@arXiv_mathDG_bot/116679534951132380
- From Gradient Descent to Potential Theory: A Geometric Dictionary for Binary Classification
Catalin Vasii
https://arxiv.org/abs/2607.00988 https://mastoxiv.page/@arXiv_mathDG_bot/116849328935224137
- A sharp relative comparison inequality for conformal fillings of Poincar\'e--Einstein manifolds
Nan Wu
https://arxiv.org/abs/2607.13742 https://mastoxiv.page/@arXiv_mathDG_bot/116928601640640156
- A degenerate free boundary minimal annulus and non-uniqueness in spherical caps beyond the hemisp...
Alexander Pigazzini
https://arxiv.org/abs/2607.23534 https://mastoxiv.page/@arXiv_mathDG_bot/116996542129550830
- Special Lagrangians with multiple isolated singularities
Bryan Dimler, Filippo Gaia
https://arxiv.org/abs/2607.26302 https://mastoxiv.page/@arXiv_mathDG_bot/117007805427278588
- Demailly-Koll\'ar continuity on klt pairs, and applications to alpha and delta invariants
Tam\'as Darvas, Kewei Zhang
https://arxiv.org/abs/2608.23505 https://mastoxiv.page/@arXiv_mathDG_bot/117155289132945927
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Crosslisted article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Stable convergence of partial sum processes towards discontinuous limits
Johannes Brutsche
https://arxiv.org/abs/2608.12740 https://mastoxiv.page/@arXiv_mathPR_bot/117092840163122403
- Bayesian Inference Procedures for A/B Testing: An Overview
M{\aa}rten Schultzberg, Mattias Fr{\aa}nberg
https://arxiv.org/abs/2608.12949 https://mastoxiv.page/@arXiv_statME_bot/117092799825341949
- Estimation of distribution functions, their jumps and interval probabilities under measurement error
Kairat Mynbaev, Carlos Martins-Filho, Chad Brown
https://arxiv.org/abs/2608.13152 https://mastoxiv.page/@arXiv_econEM_bot/117092724945077876
- Extreme principal minors of Wishart and deformed GOE matrices
Zhanrui Dong, Tiefeng Jiang, Tuan Pham, Jianfeng Yao
https://arxiv.org/abs/2608.13154 https://mastoxiv.page/@arXiv_mathPR_bot/117092881421641444
- Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of...
Han Dong, Jiaming Li, Yongqiang Gong, Ruixi Li, Yin Liu
https://arxiv.org/abs/2608.13201 https://mastoxiv.page/@arXiv_statML_bot/117092803789923153
- Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties,...
Bighneswar Sahoo, Suchandan Kayal
https://arxiv.org/abs/2608.13363 https://mastoxiv.page/@arXiv_statME_bot/117092858417590746
- Nearly sharp comparison results for sliced and max-sliced Wasserstein distances
Jonathan Niles-Weed, Jacob Shkrob
https://arxiv.org/abs/2608.13374 https://mastoxiv.page/@arXiv_mathPR_bot/117092901477246948
- Theoretical Properties of Covariate-Adaptive Randomization with a Diverging Number of Covariates
Yuhang Tao, Li-Xin Zhang
https://arxiv.org/abs/2608.13442 https://mastoxiv.page/@arXiv_statME_bot/117092865494823071
- The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity
Martin J. Wainwright
https://arxiv.org/abs/2608.13520 https://mastoxiv.page/@arXiv_csLG_bot/117092942960850473
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Billionaire Elon Musk likely broke the law when he handed out $1 million checks to voters just days before Wisconsin’s Supreme Court election,
a state election board found.
The Wisconsin Elections Commission, currently split evenly between Democrats and Republicans,
voted 5-1 in a closed session last week to refer the complaints to the Brown County district attorney’s office,
the commission's spokesperson Emilee Miklas told the Associated Press.
The panel r…

Elon Musk’s $1 Million Voter Checks Likely Illegal, Wisconsin Board Says
The Wisconsin Elections Commission referred complaints against Musk to the Brown County district attorney’s office.

I'm watching JoJo's Bizarre Adventure 4x16 "The Thankful Death (2)" #JoJosBizarreAdventure

The Thankful Death (2)
Number Six from Sex Pistols manages to warn Bucciarati about the enemies and fights back, but The Grateful Dead's powers are taking a toll on him.…

40 years ago this weekend, jerry garcia falls into a diabetic coma & nearly dies. in the hospital, his heart stops following an allergic reaction when doctors give him valium. the dead will cancel 30 dates through fall. he relearns to play guitar & is performing again by october.

One of the biggest election stories no one's talking about: the US Democratic primaries are becoming a proxy war between rival AI factions, with candidates tuning their strategies accordingly. My latest Substack digs into how that happened.
…

🚨Job Alert ‼️ 🚨
Post-doc, SLAC National Accelerator Laboratory in Menlo Park, CA, USA. Dept of Energy funded project on re-stimulating aging unconventional oil/gas wells for extraction of critical materials. Strong geochemistry background required. Start time as early as Oct. 1, 2026.
⚒️🧪 #geology

A declaration of 25 Field Medalists on AI and mathematics: “In recent months, the success of AI in solving major mathematical problems has made headlines even outside mathematical circles. But solving problems is only a tool and proxy for achieving the primary goal of conceptual understanding and insight. (…) Indeed, the mass production at faster and faster pace of "true/false" statements could destroy fertile ground instead of breathing life into new ideas.”

Does life-satisfaction inequality measure societal inequality? A focal-value-rounding critique
C. P. Barrington-Leigh
https://arxiv.org/abs/2608.12667 https://arxiv.org/pdf/2608.12667 https://arxiv.org/html/2608.12667
arXiv:2608.12667v1 Announce Type: new
Abstract: The dispersion of self-reported life satisfaction has been proposed and used as a comprehensive measure of societal inequality. A negative cross-country association between mean life satisfaction and its standard deviation has been read as evidence that this inequality is itself welfare-relevant, but critics have pointed to the nonlinearity and boundedness of response scales. I describe a further problem: a substantial and predictable share of respondents simplify the 0--10 scale to the subset {0, 5, 10} --- "focal-value rounding" (FVR) --- a behaviour that breaks not only linearity of the scale but even its order. I derive a sharp bound on the bias that FVR can induce in the standard-deviation; at empirically-typical FVR fractions the possible bias is roughly half the cross-country range of dispersion. I estimate and correct for the bias by fitting a model of FVR behavior to the Gallup World Poll Cantril ladder and three other multi-country life evaluations. FVR inflates measured standard deviation in 133 of 135 countries, by a median of 0.090 points. However, because the corrections are nearly uniform in sign across countries, rankings of the standard deviation survive essentially intact. The ordinal inequality indices advocated as the theoretically appropriate alternative suffer even worse from FVR. The correlation between mean and standard deviation survives FVR correction with modest attenuation and some caveats. Thus FVR does not, by itself, overturn previously reported correlations; it does, however, add a further reason for caution in interpreting scalar measures of subjective wellbeing inequality: candidate statistics are differently contaminated, the ordinal repairs no less than the cardinal originals, and they disagree with one another. Lastly, I show that FVR-correction can improve the pairwise dominance-comparability of full distributions.
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Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters
Mas-Buitrago, Kruk, O'Ryan, Nardone, La Marca, Awad, Baes, Fossati, G\'eron, Ghaffari, Girardi, Lintott, Sorce, Altieri, Durret, Pettorino, Irureta-Goyena, Simmons, Reerink, S\'anchez, Knapen, Shankar, Duran-Camacho, P\'erez-Mart\'inez, Walmsley, Auricchio, Baccigalupi, Baldi, Bardelli, Battaglia, Biviano, Bolzonella, Bonchi, Branchini, Brescia, Brinchmann, Camera, Ca\~nas-Herrera, Capobianco, Carbone, Carretero, Castellano, Castignani, Cavuoti, Cimatti, Colodro-Conde, Congedo, Conselice, Conversi, Copin, Costille, Courbin, Courtois, Cropper, Degaudenzi, De Lucia, Dole, Dubath, Dupac, Dusini, Ealet, Fabricius, Farina, Farinelli, Ferriol, Fosalba, Fotopoulou, Frailis, Franceschi, Fumana, Galeotta, George, Gillis, Giocoli, G\'omez-Alvarez, Gracia-Carpio, Grazian, Grupp, Gwyn, Holmes, Hook, Hormuth, Hornstrup, Huertas-Company, Jahnke, Jhabvala, Joachimi, Kermiche, Kiessling, Kubik, K\"ummel, Kunz, Kurki-Suonio, Le Brun, Ligori, Lilje, Lindholm, Lloro, Mainetti, Mansutti, Marggraf, Martinelli, Martinet, Marulli, Massey, Maurogordato, Medinaceli, Melchior, Meneghetti, Merlin, Meylan, Mora, Moresco, Moscardini, Munari, Neissner, Niemi, Nightingale, Padilla, Paltani, Pasian, Pedersen, Percival, Pezzotta, Pires, Polenta, Poncet, Popa, Pozzetti, Raison, Renzi, Rhodes, Riccio, Romelli, Roncarelli, Rusholme, Saglia, Sakr, S\'anchez, Sapone, Sartoris, Schneider, Schrabback, Scodeggio, Secroun, Sihvola, Simon, Sirignano, Sirri, Tallada-Cresp\'{i}, Taylor, Teplitz, Tereno, Tessore, Toft, Toledo-Moreo, Torradeflot, Tutusaus, Valiviita, Vassallo, Kleijn, Veropalumbo, Wang, Weller, Zacchei, Zamorani, Zerbi, Zucca, Macias-Perez, Sereno
https://arxiv.org/abs/2609.08962 https://arxiv.org/pdf/2609.08962 https://arxiv.org/html/2609.08962
arXiv:2609.08962v1 Announce Type: new
Abstract: Galaxy clusters provide unique laboratories for studying environmental effects on galaxy evolution. The morphology--density ($T$--$\Sigma$) and morphology--cluster-centric radius ($T$--$R$) relations trace how galaxy morphology is influenced by the environment, but previous studies at intermediate redshifts have been limited in both sample size and radial coverage. We use the Euclid Quick Data Release 1 (Q1) visual morphology catalogue to measure the $T$--$\Sigma$ and $T$--$R$ relations for smooth, featured-or-disc, and barred galaxies in known clusters at $0.2\leq z\leq 0.5$, extending this analysis to large cluster-centric distances ($3 R_{500c}$) and studying their dependence on stellar mass. Using photometric redshifts and stellar masses provided by Euclid, we identify 1754 cluster members within $1.5 R_{500c}$, distributed across 71 clusters. We classify the identified galaxies as smooth, featured-or-disc, or barred using the predicted vote fractions provided by the Zoobot deep learning foundation model in the Q1 visual morphology catalogue. We confirm the $T$--$\Sigma$ relation in all the stellar mass ranges studied, with a stronger influence of the cluster environment on galaxy morphology in the densest parts of the cluster and closer to the cluster centre. Beyond $1.5 R_{500c}$, the morphological segregation weakens, with featured-or-disc galaxies overtaking smooth galaxies at the lowest densities, consistent with the growing contribution of field interlopers in the cluster outskirts. For barred galaxies, we find a tentative decline of the bar fraction toward lower densities that is most pronounced for the most massive galaxies. In conclusion, our results show that the cluster environment drives a progressive transformation of galaxy morphology, with the loss of disc structure becoming more pronounced towards the cluster core, where environmental processes act most efficiently.
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