functional-analysis
In 2024, Courtade, Fathi and Mikulincer gave a proof of the symmetrized Talagrand inequality based on stochastic calculus, in the spirit of Borell's proof of the Prékopa-Leindler inequality. The symmetrized Talagrand inequality can be seen as a dual form of the functional Santaló inequality. The modest purpose of this note is to give a simplified version of the Courtade, Fathi and Mikulincer argument. Namely we first recall briefly Borell's original argument, and we then explain a simple twist in his proof that allows to recover the functional Santaló inequality directly, rather than in its dual form.
We introduce a carré du champ operator for Banach-valued random elements, taking values in the projective tensor product, and use it to control the bounded Lipschitz distance between a Malliavin-smooth random element satisfying mild regularity assumptions and a Radon Gaussian taking values in the Skorokhod space equipped with the uniform topology. In the case where the random element is a Banach-valued multiple integral, the carré du champ expression is further bounded by norms of the contracted integral kernel. The main technical tool is an integration by parts formula, which might be of independent interest. As a by-product, we recover a bound obtained recently by Düker and Zoubouloglou in the Hilbert space setting and complement it by providing contraction bounds.
We propose and investigate a strategy toward a proof of the Riemann Hypothesis based on a spectral realization of its non-trivial zeros. Our approach constructs self-adjoint operators obtained as rank-one perturbations of the spectral triple associated with the scaling operator on the interval [λ1,λ][\lambda^{-1}, \lambda]. The construction only involves the Euler products over the primes px=λ2p \leq x = \lambda^2 and produces self-adjoint operators whose spectra coincide, with striking numerical accuracy, with the lowest non-trivial zeros of ζ(1/2+is)\zeta(1/2 + i s), even for small values of xx. The theoretical foundation rests on the framework introduced in "Spectral triples and zeta-cycles" (Enseign. Math. 69 (2023), no. 1-2, 93-148), together with the extension in "Quadratic Forms, Real Zeros and Echoes of the Spectral Action" (Commun. Math. Phys. (2025)) of the classical Caratheodory-Fejer theorem for Toeplitz matrices, which guarantees the necessary self-adjointness. Numerical experiments show that the spectra of the operators converge towards the zeros of ζ(1/2+is)\zeta(1/2 + i s) as the parameters N,λN, \lambda \to \infty. A rigorous proof of this convergence would establish the Riemann Hypothesis. We further compute the regularized determinants of these operators and discuss the analytic role they play in controlling and potentially proving the above result by showing that, suitably normalized, they converge towards the Riemann Ξ\Xi function.
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This paper systematically investigates the geometry of fundamental quantum cones, the separable cone (P+\mathscr{P}_+) and the Positive Partial Transpose (PPT) cone (PPPT\mathcal{P}_{\mathrm{PPT}}), under generalized non-commutative convexity. We demonstrate a sharp stability dichotomy analyzing CC^*-convex hulls of these cones: while P+\mathscr{P}_+ remains stable under local CC^*-convex combinations, its global CC^*-convex hull collapses entirely to the cone of all positive semidefinite matrices, MCL(P+)=P0\operatorname{MCL}(\mathscr{P}_+) = \mathscr{P}_0. To gain finer control and classify intermediate structures, we introduce the concept of ``kk-CC^*-convexity'', by using the operator Schmidt rank of CC^*-coefficients. This constraint defines a new hierarchy of nested intermediate cones, MCLk()\operatorname{MCL}_k(\cdot). We prove that this hierarchy precisely recovers the known Schmidt number cones for the separable case, establishing a generalized convexity characterization: MCLk(P+)=Tk\operatorname{MCL}_k(\mathscr{P}_+) = \mathcal{T}_k. Applied to the PPT cone, this framework generates a family of conjectured non-trivial intermediate cones, CPPT,k\mathcal{C}_{\mathrm{PPT}, k}.
In this work we address the problem of uniform approximation of differential forms starting from weak data defined by integration on rectifiable sets. We study approximation schemes defined by the projection operator L given by either generalized weighted least squares or interpolation. We show that, under a natural measure theoretic condition, the norm of such operator equals the Lebesgue constant of the problem. We finally estimate how the Lebesgue constant varies under the action of smooth mappings from the reference domain to a physical one, as is customarily done e.g. in finite element method.
In this paper, we investigate the theory of RR-brackets, Baxter brackets and Nijenhuis brackets in the Banach setting, in particular in relation with Banach Poisson-Lie groups. The notion of Banach Lie--Poisson space with respect to an arbitrary duality pairing is crucial for the equations of motion to make sense. In the presence of a non-degenerate invariant pairing on a Banach Lie algebra, these equations of motion assume a Lax form. We prove a version of the Adler-Kostant-Symes theorem adapted to RR-matrices on infinite-dimensional Banach algebras. Applications to the resolution of Lax equations associated to some Banach Manin triples are given. The semi-infinite Toda lattice is also presented as an example of this approach.
In optimal transport, quadratic regularization is an alternative to entropic regularization when sparse couplings or small regularization parameters are desired. Here quadratic regularization means that transport couplings are penalized by the squared L2L^2 norm, or equivalently the χ2\chi^2 divergence. While a number of computational approaches have been shown to work in practice, quadratic regularization is analytically less tractable than entropic, and we are not aware of a previous theoretical convergence rate analysis. We focus on the gradient descent algorithm for the dual transport problem in continuous and semi-discrete settings. This problem is convex but not strongly convex; its solutions are the potential functions that approximate the Kantorovich potentials of unregularized optimal transport. The gradient descent steps are straightforward to implement, and stable for small regularization parameter -- in contrast to Sinkhorn's algorithm in the entropic setting. Our main result is that gradient descent converges linearly; that is, the L2L^2 distance between the iterates and the limiting potentials decreases exponentially fast. Our analysis centers on the linearization of the gradient descent operator at the optimum and uses functional-analytic arguments to bound its spectrum. These techniques seem to be novel in this area and are substantially different from the approaches familiar in entropic optimal transport.
In this article, a new class of operators, termed Ad-contractions, is introduced to extend the framework of A-contractions to the setting of dislocated metric spaces. Fixed point results are established for single mappings, sequences of mappings, integral type contractions, and for mappings on a set with two dislocated metrics. The demonstrated theorems generalize foundational results on A-contractions and their integral-type variations to the more challenging setting of dislocated metric spaces. The work is supported by illustrative examples.
In this paper, the Mean value iterative process is modified with the Mann iterative process for mean nonexpansive mapping in a hyperbolic metric space that satisfy the symmetry criteria and in uniformly convex hyperbolic spaces to validate the iterative process, we present strong and DeltaDelta-convergence theorems.
It has been recently discovered that a convex function can be determined by its slopes and its infimum value, provided this latter is finite. The result was extended to nonconvex functions by replacing the infimum value by the set of all critical and asymptotically critical values. In all these results boundedness from below plays a crucial role and is generally admitted to be a paramount assumption. Nonetheless, this work develops a new technique that allows to also determine a large class of unbounded from below convex functions, by means of a Neumann-type condition related to the Crandall-Pazy direction.
Regarding the representation theorem of Kolmogorov and Arnold (KA) as an algorithm for representing or {\guillemotleft}expressing{\guillemotright} functions, we test its robustness by analyzing its ability to withstand adversarial attacks. We find KA to be robust to countable collections of continuous adversaries, but unearth a question about the equi-continuity of the outer functions that, so far, obstructs taking limits and defeating continuous groups of adversaries. This question on the regularity of the outer functions is relevant to the debate over the applicability of KA to the general theory of NNs.
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Tomographic investigations are a central tool in medical applications, allowing doctors to image the interior of patients. The corresponding measurement process is commonly modeled by the Radon transform. In practice, the solution of the tomographic problem requires discretization of the Radon transform and its adjoint (called the backprojection). There are various discretization schemes; often structured around three discretization parameters: spatial-, detector-, and angular resolutions. The most widespread approach uses the ray-driven Radon transform and the pixel-driven backprojection in a balanced resolution setting, i.e., the spatial resolution roughly equals the detector resolution. The use of these particular discretization approaches is based on anecdotal reports of their approximation performance, but there is little rigorous analysis of these methods' approximation errors. This paper presents a novel interpretation of ray-driven and pixel-driven methods as convolutional discretizations, illustrating that from an abstract perspective these methods are similar. Moreover, we announce statements concerning the convergence of the ray-driven Radon transform and the pixel-driven backprojection under balanced resolutions. Our considerations are supported by numerical experiments highlighting aspects of the discussed methods.
Consider a non-archimedean valuation ring V (K its fraction field, in mixed characteristic): inspired by some views presented by Scholze, we introduce a new point of view on the non-archimedean analytic setting in terms of derived analytic geometry (then associating a "spectrum" to each ind-Banach algebra). In such a spectrum, for example, there exist open sets having functions with log-growth as sections for the structural sheaf. In this framework, a transfer theorem for the log-growth of solutions of p-adic differential equations can be interpreted as a continuity theorem (analog to the transfer theorem for their radii of convergence). As a dividend of such a theory, one can also introduce a variant of the classical convergent rigid cohomology for a smooth k-scheme, X_k (k residual field of V): the tempered cohomology. In this setting, the rigid analytic tube of radius 1 is replaced by a "tempered one". We finally compare our tempered cohomology with some other classical cohomology theories.
A general mathematical framework is presented for establishing the existence and uniqueness of solutions to functional equations arising in behavioral modeling, utilizing Lipschitz spaces to ensure non-trivial solutions. The work specifically provides explicit conditions for unique solutions to a generalized paradise fish learning equation and proposes an efficient least-squares analytical approximation to overcome the exponential computational cost of standard iterative methods.
We give orthonormal characterizations of collectively compact (limited) sets of linear operators from a Hilbert space to a Banach space.
In this paper we analyze in detail a few questions related to the theory of functions with bounded pp-Hessian-Schatten total variation, which are relevant in connection with the theory of inverse problems and machine learning. We prove an optimal density result, relative to the pp-Hessian-Schatten total variation, of continuous piecewise linear (CPWL) functions in any space dimension dd, using a construction based on a mesh whose local orientation is adapted to the function to be approximated. We show that not all extremal functions with respect to the pp-Hessian-Schatten total variation are CPWL. Finally, we prove existence of minimizers of certain relevant functionals involving the pp-Hessian-Schatten total variation in the critical dimension d=2d=2.
Let λK(m)\lambda_\mathbb{K}(m) denote the maximal absolute projection constant over the subspaces of dimension mm. Apart from the trivial case for m=1 m=1, the only known value of λK(m)\lambda_\mathbb{K}(m) is for m=2 m=2 and K=R.\mathbb{K}=\mathbb{R}. In 1960, B.Grunbaum conjectured that λR(2)=43\lambda_\mathbb{R}(2)=\frac{4}{3} and in 2010, B. Chalmers and G. Lewicki proved it. In 2019, G. Basso delivered the alternative proof of this conjecture. Both proofs are quite complicated, and there was a strong belief that providing an exact value for λK(m)\lambda_\mathbb{K}(m) in other cases will be a tough task. In our paper, we present an upper bound of the value λK(m)\lambda_\mathbb{K}(m), which becomes an exact value for the numerous cases. The crucial will be combining some results from the articles [B. Bukh, C. Cox, Nearly orthogonal vectors and small antipodal spherical codes, Isr. J. Math. 238, 359-388 (2020)] and [G. Basso, Computation of maximal projection constants, J. Funct. Anal. 277/10 (2019), 3560-3585.], for which simplified proofs will be given.
Let HH be a Hilbert space and (Ω,F,μ)(\Omega,\mathcal{F},\mu) a probability space. A Hilbert point in Lp(Ω;H)L^p(\Omega; H) is a nontrivial function φ\varphi such that φpφ+fp\|\varphi\|_p \leq \|\varphi+f\|_p whenever f,φ=0\langle f, \varphi \rangle = 0. We demonstrate that φ\varphi is a Hilbert point in Lp(Ω;H)L^p(\Omega; H) for some p2p\neq2 if and only if φ(ω)H\|\varphi(\omega)\|_H assumes only the two values 00 and C>0C>0. We also obtain a geometric description of when a sum of independent Rademacher variables is a Hilbert point.
We establish regularity conditions for LpL_p-boundedness of Fourier multipliers on the group von Neumann algebras of higher rank simple Lie groups. This provides a natural Hörmander-Mikhlin criterion in terms of Lie derivatives of the symbol and a metric given by the adjoint representation. In line with Lafforgue/de la Salle's rigidity theorem, our condition imposes certain decay of the symbol at infinity. It refines and vastly generalizes a recent result by Parcet, Ricard and de la Salle for \SL\SL. Our approach is partly based on a sharp local Hörmander-Mikhlin theorem for arbitrary Lie groups, which follows in turn from recent estimates by the authors on singular nonToeplitz Schur multipliers. We generalize the latter to arbitrary locally compact groups and refine the cocycle-based approach to Fourier multipliers in group algebras by Junge, Mei and Parcet. A few related open problems are also discussed.
Let XX be an ordered vector space. The net {xα}X\{x_\alpha\}\subseteq X is semi unbounded order convergent to xx (in symbol xαsuoxx_\alpha\xrightarrow{suo}x), if there is a net {yβ}\{y_\beta\}, possibly over a different index set, such that yβ0y_\beta \downarrow 0 and for every β\beta there exists α0\alpha_0 such that {{±(xαx)}u,y}l{yβ}l\{\{\pm(x_\alpha - x)\}^u,y\}^l\subseteq \{y_\beta\}^l, whenever αα0\alpha \geq \alpha_0 and for all 0yX0\leq y \in X. In vector lattice EE, semi unbounded order convergence is equivalent with unbounded order convergence. We study some properties of this convergence and some of its relationships with others known order convergence.
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