<p>Let <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\( \mathcal{P}(X,Y)\)</EquationSource> </InlineEquation> denote the set of all continuous, linear projections from <i>X</i> onto its subspace <i>Y</i>. Put <Equation ID="Equ12"> <EquationSource Format="TEX">\(\begin{aligned} \lambda (Y,X)= inf\{ \Vert P\Vert : P \in \mathcal{P}(X,Y)\}. \end{aligned}\)</EquationSource> </Equation>A projection <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(P_o \in \mathcal{P}(X,Y)\)</EquationSource> </InlineEquation> is called a minimal projection if and only if <Equation ID="Equ13"> <EquationSource Format="TEX">\(\begin{aligned} \Vert P\Vert = \lambda (Y,X). \end{aligned}\)</EquationSource> </Equation>The aim of this paper is to give some estimates of <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\( \lambda (Y,X)\)</EquationSource> </InlineEquation> in the case when <Equation ID="Equ14"> <EquationSource Format="TEX">\(\begin{aligned} X = \bigoplus _{j=1}^n X_j, \end{aligned}\)</EquationSource> </Equation>where <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\( (X_j, \Vert \cdot \Vert _j) \)</EquationSource> </InlineEquation> for <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(j=1,...,n,\)</EquationSource> </InlineEquation> are Banach spaces and <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(Y \subset X\)</EquationSource> </InlineEquation> is a closed subspace of <i>X</i> equipped with a norm <Equation ID="Equ15"> <EquationSource Format="TEX">\(\begin{aligned} \Vert x\Vert = g(\Vert x_1\Vert _1,..., \Vert x_n\Vert _n), \end{aligned}\)</EquationSource> </Equation>where <i>g</i> is a monotone norm on <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\( \mathbb {K}^n, \)</EquationSource> </InlineEquation> <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(K= \mathbb {C}\)</EquationSource> </InlineEquation> or <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\(K= \mathbb {C}.\)</EquationSource> </InlineEquation> We present our results in a more general case of minimal extensions (see Definition (<InternalRef RefID="FPar6">2</InternalRef>)). This approach leads to some new estimates of norms of minimal extensions. Also the problems of unicity and strong unicity of minimal extensions (see Definition(<InternalRef RefID="FPar8">3</InternalRef>)) is studied.</p>

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Minimal extensions in direct sums of Banach spaces

  • Grzegorz Lewicki,
  • Marco Baronti,
  • Valentina Bertella

摘要

Let \( \mathcal{P}(X,Y)\) denote the set of all continuous, linear projections from X onto its subspace Y. Put \(\begin{aligned} \lambda (Y,X)= inf\{ \Vert P\Vert : P \in \mathcal{P}(X,Y)\}. \end{aligned}\) A projection \(P_o \in \mathcal{P}(X,Y)\) is called a minimal projection if and only if \(\begin{aligned} \Vert P\Vert = \lambda (Y,X). \end{aligned}\) The aim of this paper is to give some estimates of \( \lambda (Y,X)\) in the case when \(\begin{aligned} X = \bigoplus _{j=1}^n X_j, \end{aligned}\) where \( (X_j, \Vert \cdot \Vert _j) \) for \(j=1,...,n,\) are Banach spaces and \(Y \subset X\) is a closed subspace of X equipped with a norm \(\begin{aligned} \Vert x\Vert = g(\Vert x_1\Vert _1,..., \Vert x_n\Vert _n), \end{aligned}\) where g is a monotone norm on \( \mathbb {K}^n, \) \(K= \mathbb {C}\) or \(K= \mathbb {C}.\) We present our results in a more general case of minimal extensions (see Definition (2)). This approach leads to some new estimates of norms of minimal extensions. Also the problems of unicity and strong unicity of minimal extensions (see Definition(3)) is studied.