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Projected vector transport on Stiefel and Grassmann
Definition
Let be a source frame, , and . For Stiefel transport let be either the QR or polar endpoint. For Grassmann transport, require to be the unique horizontal representative at , so , and choose , the polar endpoint; the positive-diagonal QR frame is not used for this representative-based quotient transport. Define the projected Stiefel transport and, for a horizontal source representative , define the projected Grassmann transport representative The Grassmann expression is interpreted as a tangent representative at . The polar endpoint is right-equivariant, so the next proposition verifies representative independence, tangency, and identity at a zero step. These projection transports are not claimed to be Levi-Civita parallel transport.
Facts & Assumptions
Given: , a tangent step (horizontal in the Grassmann branch), its Stiefel endpoint or its Grassmann polar endpoint , and a source tangent (or horizontal) representative .
The Stiefel and horizontal projections at a frame are the formulas in Tangent spaces and Frobenius projections on Stiefel and Grassmann.
QR and polar endpoints are orthonormal frames, and the polar endpoint transforms as (QR and polar retractions on Stiefel and Grassmann).
Both retractions fix the zero tangent vector (The QR and polar maps are first-order Stiefel and Grassmann retractions).
Proof
The first displayed map is exactly the Stiefel tangent projection from [F1], and the second is exactly the horizontal Grassmann projection from [F1]. By [F2], the endpoint is a valid frame; each formula is linear in and takes values in the stated destination tangent space.
Under a change , [F2] gives the polar endpoint ; hence and the output changes to . This is exactly the changed horizontal representative, so the Grassmann tangent vector is independent of the frame. At , [F3] gives ; a Stiefel tangent has , and a Grassmann horizontal representative has , so both transports return .
Depends on
Used by
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Sources
- P.-A. Absil, R. Mahony, and R. Sepulchre, Optimization Algorithms on Matrix Manifolds, Chapter 4 (2008) (standard reference, not scraped)
- Nicolas Boumal, An Introduction to Optimization on Smooth Manifolds (2023 prepublication) (standard reference, not scraped)