Let V be a real vector space, let p:V→R be sublinear (Definition \ref{def:sublinear_2025_8_19}), let U⊆V be a linear subspace, and let f0:U→R be linear withf0(u)≤p(u)for all u∈U.Then there exists a linear f:V→R such that f∣U=f0 andf(x)≤p(x)for all x∈V.
Let X be a real vector space, let M⊆X be a linear subspace, and let p:X→R be sublinear in the sense of \ref{def:sublinear_2025_08_19}. If f:M→R is a linear functional (\ref{def:linear_functional_2025_08_19}) such that f(x)≤p(x) for all x∈M, then there exists a linear functional F:X→R extending f (i.e., F∣M=f) with F(x)≤p(x) for all x∈X.
Let X be a real vector space, V⊆X a subspace, p:X→R sublinear (\ref{def:sublinear_2025_08_19}), and f:V→R linear with f≤p on V. For any x0∈X∖V there exists a∈R and a linear map F:V+Rx0→R given by F(v+tx0)=f(v)+ta such that F≤p on V+Rx0 and F∣V=f.
A \emph{linear functional} on a real vector space X is a linear map f:X→R. If M⊆X is a subspace and f:M→R is linear, an \emph{extension} of f to X is a linear functional F:X→R such that F∣M=f.
Let X be a real vector space. A map p:X→R is called \emph{sublinear} if (i) p(x+y)≤p(x)+p(y) for all x,y∈X, and \ref{ii} p(λx)=λp(x) for all x∈X and all scalars λ≥0.
Let X be a real vector space, let M⊆X be a linear subspace, and let p:X→R be sublinear in the sense of \ref{def:sublinear_2025_08_19}. If f:M→R is a linear functional (\ref{def:linear_functional_2025_08_19}) such that f(x)≤p(x) for all x∈M, then there exists a linear functional F:X→R extending f (i.e., F∣M=f) with F(x)≤p(x) for all x∈X.
Let X be a real vector space, V⊆X a subspace, p:X→R sublinear (\ref{def:sublinear_2025_08_19}), and f:V→R linear with f≤p on V. For any x0∈X∖V there exists a∈R and a linear map F:V+Rx0→R given by F(v+tx0)=f(v)+ta such that F≤p on V+Rx0 and F∣V=f.
A \emph{linear functional} on a real vector space X is a linear map f:X→R. If M⊆X is a subspace and f:M→R is linear, an \emph{extension} of f to X is a linear functional F:X→R such that F∣M=f.
Let X be a real vector space. A map p:X→R is called \emph{sublinear} if (i) p(x+y)≤p(x)+p(y) for all x,y∈X, and (ii) p(λx)=λp(x) for all x∈X and all scalars λ≥0.
Let X be a real vector space, let M⊆X be a linear subspace, and let p:X→R be sublinear in the sense of \ref{def:sublinear_2025_08_19}. If f:M→R is a linear functional (\ref{def:linear_functional_2025_08_19}) such that f(x)≤p(x) for all x∈M, then there exists a linear functional F:X→R extending f (i.e., F∣M=f) with F(x)≤p(x) for all x∈X.
Let X be a real vector space, V⊆X a subspace, p:X→R sublinear (\ref{def:sublinear_2025_08_19}), and f:V→R linear with f≤p on V. For any x0∈X∖V there exists a∈R and a linear map F:V+Rx0→R given by F(v+tx0)=f(v)+ta such that F≤p on V+Rx0 and F∣V=f.
A \emph{linear functional} on a real vector space X is a linear map f:X→R. If M⊆X is a subspace and f:M→R is linear, an \emph{extension} of f to X is a linear functional F:X→R such that F∣M=f.