May 18 – 22, 2026
Virginia Tech
America/New_York timezone

Session

Matrix Geometries

MS 04
May 20, 2026, 10:45 AM

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  1. Xiang Lu (University of Chicago)
    5/20/26, 10:45 AM
    Matrix Geometries
    Minisymposium Talk

    We describe a curious structure of the special orthogonal, special unitary, and symplectic groups that has not been observed, namely, they can be expressed as matrix products of their corresponding Grassmannians realized as involution matrices. We will show that $\text{SO}(n)$ is a product of two real Grassmannians, $\text{SU}(n)$ a product of four complex Grassmannians, and $\text{Sp}(2n,...

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  2. Tin-Yau Tam (University of Nevada, Reno)
    5/20/26, 11:10 AM
    Matrix Geometries
    Minisymposium Talk

    We present a differential--geometric view of the Schur--Horn theorem and related convexity phenomena. For an $n\times n$ Hermitian matrix $A$ with simple spectrum, the Schur--Horn map
    $$ \mu: {\mathrm U}(n) \to \mathbb R^n,\quad \mu(U)=\mathrm{diag}(UA U^{-1}), \qquad U\in {\mathrm U}(n), $$
    is shown to be a proper submersion over the relative interior of the Schur--Horn polytope, where...

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  3. Pálfia Miklós (Corvinus University of Budapest)
    5/20/26, 11:35 AM
    Matrix Geometries
    Minisymposium Talk

    In this talk we investigate zeros of nonlinear operators on the cone of positive definite operators over a Hilbert space. The unique zero of such nonlinear operators define means of positive definite operators. Moreover these nonlinear operators generate strictly exponentially contracting semigroups in some metric defined on positive operators. We survey recent results that establish the...

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  4. Zhifeng Deng (Xiamen University)
    5/21/26, 11:00 AM
    Matrix Geometries
    Minisymposium Talk

    The special orthogonal group $\mathbb{SO}_n$ is a Lie group whose geometry and local structure are encoded by the exponential map on its Lie algebra $\mathbf{Skew}_n$, the set of skew-symmetric matrices. The associated inverse problem---the matrix logarithm---exhibits a highly nontrivial local diffeomorphism structure, and the notion of a nearby logarithm arises naturally as a local inverse of...

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  5. Dr Tianyun Tang (University of Chicago)
    5/21/26, 11:25 AM
    Matrix Geometries
    Minisymposium Talk

    We show that linearly constrained linear optimization over a Stiefel or Grassmann manifold is NP-hard in general. We show that the same is true for unconstrained quadratic opti- mization over a Stiefel manifold. We will show that unless P = NP, these optimization problems over a Stiefel manifold do not have FPTAS. As an aside we extend our results to flag manifolds. Combined with earlier...

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  6. Nathan Henry (University of California, Berkeley)
    5/21/26, 11:50 AM
    Matrix Geometries
    Minisymposium Talk

    Multi-head self-attention is a fundamental building block of the transformer architecture in modern machine learning, enabling large language models and much of modern generative AI as we know it. However, some aspects of the self-attention function space remain poorly understood. In particular, its parameterization is non-unique: continuous families of unique weight matrices can induce the...

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