English

Finite-codimensional subspaces of Daugavet spaces: projection constants and minimal projections

Functional Analysis 2026-04-14 v1

Abstract

Over the real or complex field, we establish a duality formula for projection constants of finite-codimensional subspaces of Banach spaces with the Daugavet property. If Y=j=1nkerfjX,W=span{f1,,fn}X, Y=\bigcap_{j=1}^n \ker f_j \subset X, \qquad W=\operatorname{span}\{f_1,\dots,f_n\} \subset X^*, then λ(Y,X)=1+λ(W,X), \lambda(Y,X)=1+\lambda(W,X^*), and minimal projections onto YY correspond exactly to weak^*-continuous minimal projections onto WW. This yields, in particular, a complete description of the hyperplane case: every hyperplane has projection constant 22, and kerf\ker f admits a minimal projection if and only if ff attains its norm. We then specialise to the real space X=C[0,1]X=C[0,1]. Our second ingredient is a transfer principle from duplication-stable finite-dimensional subspaces of 1N\ell_1^N to piecewise-constant subspaces of L1[0,1]M[0,1]=C[0,1]L_1[0,1]\subset M[0,1]=C[0,1]^*. For the regular symmetric spaces constructed by Chalmers and the second-named author and the second named author and Prophet, respectively, the transferred subspaces retain their projection constants but admit no weak^*-continuous minimal projections. Passing to annihilators yields finite-codimensional subspaces of the real space C[0,1]C[0,1] for which the infimum defining the projection constant is not attained. As a consequence, for every Λ[2,)\Lambda\in[2,\infty) there exists a finite-codimensional subspace YY of the real space C[0,1]C[0,1] such that λ(Y,C[0,1])=Λ, \lambda(Y,C[0,1])=\Lambda, and the infimum defining λ(Y,C[0,1])\lambda(Y,C[0,1]) is not attained. For each even codimension nn we moreover realise every value in the interval (2,1+βn](2,1+\beta_n], where βn=EPnj=1nεj=n2n(nn/2)2nπ, \beta_n = \mathsf E_{{\mathsf P}_n}\Bigl|\sum_{j=1}^n \varepsilon_j\Bigr| = n2^{-n}\binom{n}{n/2} \sim \sqrt{\frac{2n}{\pi}}, (εj)(\varepsilon_j) is a Rademacher family on Ωn={1,1}n\Omega_n=\{-1,1\}^n, and Pn\mathsf{P}_n is the uniform probability measure.

Keywords

Cite

@article{arxiv.2604.10771,
  title  = {Finite-codimensional subspaces of Daugavet spaces: projection constants and minimal projections},
  author = {Tomasz Kania and Grzegorz Lewicki},
  journal= {arXiv preprint arXiv:2604.10771},
  year   = {2026}
}

Comments

15 pp