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CorollaryStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04
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  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
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A linear map from a finite-dimensional normed space is bounded

Statement

Let X and Y be normed spaces over the same scalar field, and assume X admits an ordered basis of finite length. Then every linear map S:X→Y is a bounded linear operator in the sense of A bounded linear operator between normed spaces.

Facts & Assumptions

Given: Normed spaces X and Y, a linear map S:X→Y, and an ordered basis e:n→X.

[L1]

The basis map T:Kn→X is a topological isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).

[L2]

A bounded linear operator is a linear map satisfying one global norm bound (A bounded linear operator between normed spaces).

[L3]

Linearity means S(au+bv)=aS(u)+bS(v) (Linear map between vector spaces over the same field).

Proof

technique · direct
1.1L1choose

Let T:Kn→X be the basis map from [L1]. Since T−1 is bounded, there is B>0 such that ∥T−1x∥1≤B∥x∥(x∈X).

1.2L3givenalgebra

Put M:=∑j<n∥S(ej)∥, a finite real. If x=∑j<najej=T(a0,…,an−1), then by [L3] Sx=∑j<najS(ej), so ∥Sx∥≤∑j<n∣aj∣ ∥S(ej)∥≤M∑j<n∣aj∣=M∥T−1x∥1.

2.1L2L3step 1.1step 1.2∎

Combining steps 1.1 and 1.2 gives ∥Sx∥≤MB∥x∥(x∈X). Therefore S is bounded, and with [L3] this makes S a bounded linear operator by [L2].

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Sources