Matrix integrals over unitary groups: An application of Schur-Weyl duality
- URL: http://arxiv.org/abs/1408.3782v6
- Date: Wed, 30 Oct 2024 07:54:31 GMT
- Title: Matrix integrals over unitary groups: An application of Schur-Weyl duality
- Authors: Lin Zhang,
- Abstract summary: The integral formulae pertaining to the unitary group $mathsfU(d)$ have been comprehensively reviewed.
Schur-Weyl duality serves as a bridge, establishing a profound connection between the representation theory of finite groups and that of classical Lie groups.
- Score: 4.927579219242575
- License:
- Abstract: The integral formulae pertaining to the unitary group $\mathsf{U}(d)$ have been comprehensively reviewed, yielding fresh results and innovative proofs. Central to the derivation of these formulae lies the employment of Schur-Weyl duality, a classical and powerful theorem from the representation theory of groups. This duality serves as a bridge, establishing a profound connection between the representation theory of finite groups (or permutation groups) and that of classical Lie groups, specifically the unitary groups. From the perspective of Schur-Weyl duality, it becomes evident that the computation of matrix integrals over the unitary group is intricately intertwined with the so-called Weingarten function. The explicit evaluation of this function is heavily dependent on three crucial aspects: firstly, the dimensions of the irreducible representations of the unitary groups; secondly, the dimensions of the irreducible representations of permutation groups; and thirdly, the irreducible characters of permutation groups. For the first two aspects, we can rely on well-established formulae. Specifically, the dimensions of irreducible representations of both unitary and permutation groups can be determined using the hook-length formula attributed to Frame, Robinson,and Thrall, as well as the hook-content formula proposed by Stanley. However, the third aspect poses a more intricate challenge. Unfortunately, despite significant efforts, there remains no unifying closed-form formula for the generic irreducible characters of permutation groups, except for a few special cases involving particular partitions. Given the significance of these irreducible characters, it is crucial to have a comprehensive understanding of them. Fortunately, all the information pertaining to the irreducible characters belonging to a given permutation group is encoded in a so-called character table......
Related papers
- Irreducible matrix representations for the walled Brauer algebra [0.9374652839580183]
This paper investigates the representation theory of the algebra of partially transposed permutation operators, $mathcalAd_p,p$.
It provides a matrix representation for the abstract walled Brauer algebra.
This algebra has recently gained significant attention due to its relevance in quantum information theory.
arXiv Detail & Related papers (2025-01-22T18:22:20Z) - Quantum cellular automata and categorical dualities of spin chains [0.0]
We study categorical dualities, which are bounded-spread isomorphisms between algebras of symmetry-respecting local operators on a spin chain.
A fundamental question about dualities is whether they can be extended to quantum cellular automata.
We present a solution to the extension problem using the machinery of Doplicher-Haag-Roberts bimodules.
arXiv Detail & Related papers (2024-10-11T15:00:50Z) - From port-based teleportation to Frobenius reciprocity theorem: partially reduced irreducible representations and their applications [1.024113475677323]
We show that the spectrum of the port-based teleportation operator acting on $n$ systems is connected in a very simple way with the spectrum of the Jucys-Murphy operator for the symmetric group $S(n-1)subset S(n)$.
This shows on the technical level relation between teleporation and one of the basic objects from the point of view of the representation theory of the symmetric group.
arXiv Detail & Related papers (2023-10-25T07:22:54Z) - Algebras of actions in an agent's representations of the world [51.06229789727133]
We use our framework to reproduce the symmetry-based representations from the symmetry-based disentangled representation learning formalism.
We then study the algebras of the transformations of worlds with features that occur in simple reinforcement learning scenarios.
Using computational methods, that we developed, we extract the algebras of the transformations of these worlds and classify them according to their properties.
arXiv Detail & Related papers (2023-10-02T18:24:51Z) - Self-Supervised Learning Disentangled Group Representation as Feature [82.07737719232972]
We show that existing Self-Supervised Learning (SSL) only disentangles simple augmentation features such as rotation and colorization.
We propose an iterative SSL algorithm: Iterative Partition-based Invariant Risk Minimization (IP-IRM)
We prove that IP-IRM converges to a fully disentangled representation and show its effectiveness on various benchmarks.
arXiv Detail & Related papers (2021-10-28T16:12:33Z) - Capacity of Group-invariant Linear Readouts from Equivariant
Representations: How Many Objects can be Linearly Classified Under All
Possible Views? [21.06669693699965]
We find that the fraction of separable dichotomies is determined by the dimension of the space that is fixed by the group action.
We show how this relation extends to operations such as convolutions, element-wise nonlinearities, and global and local pooling.
arXiv Detail & Related papers (2021-10-14T15:46:53Z) - Learning Algebraic Recombination for Compositional Generalization [71.78771157219428]
We propose LeAR, an end-to-end neural model to learn algebraic recombination for compositional generalization.
Key insight is to model the semantic parsing task as a homomorphism between a latent syntactic algebra and a semantic algebra.
Experiments on two realistic and comprehensive compositional generalization demonstrate the effectiveness of our model.
arXiv Detail & Related papers (2021-07-14T07:23:46Z) - A Practical Method for Constructing Equivariant Multilayer Perceptrons
for Arbitrary Matrix Groups [115.58550697886987]
We provide a completely general algorithm for solving for the equivariant layers of matrix groups.
In addition to recovering solutions from other works as special cases, we construct multilayer perceptrons equivariant to multiple groups that have never been tackled before.
Our approach outperforms non-equivariant baselines, with applications to particle physics and dynamical systems.
arXiv Detail & Related papers (2021-04-19T17:21:54Z) - GroupifyVAE: from Group-based Definition to VAE-based Unsupervised
Representation Disentanglement [91.9003001845855]
VAE-based unsupervised disentanglement can not be achieved without introducing other inductive bias.
We address VAE-based unsupervised disentanglement by leveraging the constraints derived from the Group Theory based definition as the non-probabilistic inductive bias.
We train 1800 models covering the most prominent VAE-based models on five datasets to verify the effectiveness of our method.
arXiv Detail & Related papers (2021-02-20T09:49:51Z) - Learning Irreducible Representations of Noncommutative Lie Groups [3.1727619150610837]
Recent work has constructed neural networks that are equivariant to continuous symmetry groups such as 2D and 3D rotations.
We present two contributions motivated by frontier applications of equivariance beyond rotations and translations.
arXiv Detail & Related papers (2020-06-01T05:14:29Z) - Invariant Feature Coding using Tensor Product Representation [75.62232699377877]
We prove that the group-invariant feature vector contains sufficient discriminative information when learning a linear classifier.
A novel feature model that explicitly consider group action is proposed for principal component analysis and k-means clustering.
arXiv Detail & Related papers (2019-06-05T07:15:17Z)
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.