Principal Bundle Structure of Matrix Manifolds

نویسندگان

چکیده

In this paper, we introduce a new geometric description of the manifolds matrices fixed rank. The starting point is Grassmann manifold Gr(Rk) linear subspaces dimension r<k in Rk, which avoids use equivalence classes. set equipped with an atlas, provides it structure analytic modeled on R(k?r)×r. Then, define atlas for Mr(Rk×r) full rank and prove that resulting principal bundle base typical fibre GLr, general group invertible Rk×k. Finally, Mr(Rn×m) non-full Gr(Rn)×Gr(Rm) GLr. indexed itself, allows natural definition neighbourhood given matrix, being proved to possess Lie group. Moreover, topology induced by proven be embedded submanifold matrix space Rn×m subspace topology. proposed then results Rn×m, seen as union Mr(Rn×m), continuous map.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Structure of the indicatrix bundle of Finsler-Rizza manifolds

In this paper, we construct a framed f -structure on the slit tangent space of a Rizza manifold. This induces on the indicatrix bundle an almost contact metric. We find the conditions under which this structure reduces to a contact or to a Sasakian structure. Finally we study these structures on Kählerian Finsler manifolds. M.S.C. 2010: 53B40, 53C60, 32Q60, 53C15.

متن کامل

The Principal Fiber Bundle Structure of the Gimbal-Spacecraft System

Nomenclature β,γ(∈ S) = The gimbal and wheel angles. (rad) Rβ(∈ SO(3)) = Transformation from gimbal frame G to the spacecraft body frame B. Is = Spacecraft inertia without the CMG gimbal and wheel inertia. (kg.m) Ig, Ir = Gimbal frame inertia, wheel inertia about own centre of mass represented in gimbal frame. (kg.m) (Igr)β = Combined inertia of gimbal frame and wheel in the spacecraft frame. R...

متن کامل

Regularized Principal Manifolds

Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the use of tools such as regularization from the theory of (supervised) risk minimization for unsupervised settings. Moreover, this setting is very closely related to both principal curves and the generative topographic map...

متن کامل

{28 () Regularized Principal Manifolds

Many settings of unsupervised learning can be viewed as quantization problems | the minimization of the expected quantization error subject to some restrictions. This allows the use of tools such as regularization from the theory of (supervised) risk minimization for unsupervised settings. This setting turns out to be closely related to principal curves, the generative topographic map, and robu...

متن کامل

Principal Graphs and Manifolds

In many fields of science, one meets with multivariate (multidimensional) distributions of vectors representing some observations. These distributions are often difficult to analyse and make sense of due to the very nature of human brain which is able to visually manipulate only with the objects of dimension no more than three. This makes actual the problem of approximating the multidimensional...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematics

سال: 2021

ISSN: ['2227-7390']

DOI: https://doi.org/10.3390/math9141669