How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- 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.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
on violates the parallelogram law, so no symmetric bilinear form induces it
Statement refuted
Refuted claim: every norm on arises from a symmetric bilinear form, that is, for every norm there is a function that is symmetric and additive and homogeneous in each argument, with for every .
The witness is on (The -norms for rational , and ), and the obstruction is the parallelogram law, which every such satisfies (Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation clause 3 is the instance for the Euclidean form, and the general computation is two lines of bilinearity, done below) and which fails at , .
What is and is not claimed. What is refuted is the displayed claim, whose hypothesis is a symmetric bilinear form on written out in full. The general converse — that a norm satisfying the parallelogram law is induced by an inner product, the Jordan-von Neumann theorem — is not proved here and is not used here; nor is any abstract theory of inner product spaces, which belongs to a page of this library earlier in the plan order that is not yet built (Conventions of this page, the standing hypothesis, and what is taken up elsewhere in the reading order).
Facts & Assumptions
Given: The space with (The -norms for rational , and ) and the standard basis vectors , (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ).
The refuted claim at : there is a symmetric , additive and homogeneous in each argument, with for every .
Absolute values: and (Absolute value in an ordered field, Basic properties of the absolute value).
Square roots: is the unique nonnegative with , so whenever (Square roots exist: a unique with ; the positives are , Integer powers ).
Canonical naturals are strictly increasing and positive and carry sums to sums and products to products, so , , and (The canonical natural of a field, Canonical naturals are positive and strictly increasing).
The Euclidean inner product is bilinear and symmetric and satisfies the parallelogram law for (The Euclidean inner product on , Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation clause 3).
Counterexample
Assume [A1] and write , so for every .
By symmetry and additivity and homogeneity in each argument, and , hence for all .
Computing: and , while .
Instantiate step 1.2 at , : the left side is and the right side is .
So the left side of step 2.1 is and the right side is , giving , which contradicts the strict increase of .
Hence [A1] is false: no symmetric bilinear form on induces , and in particular .
The parallelogram law does hold for , which is induced by the Euclidean inner product, so the failure above is a genuine separation between the two norms and not a defect of the computation.
Remarks
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Equivalence of norms says nothing about inner products. By For all norms on are equivalent the norms and on are equivalent: they have the same open sets, the same convergent sequences and the same Cauchy sequences. What the computation above shows is that they are nevertheless different norms, and that one of them cannot be written as for any symmetric bilinear . Equivalence is a metric statement; the parallelogram law is not.
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Only one instance of the law is needed. The claim is refuted by a single pair , and the arithmetic is . No general theory is required, which is exactly why this item can be stated on a page that has no abstract inner products.
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The converse direction is a different theorem. That a norm satisfying the parallelogram law is induced by an inner product is the Jordan-von Neumann theorem, proved by polarisation; Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation clause 4 contains the polarisation identity for the Euclidean form, but the general theorem needs the abstract theory and is not asserted anywhere in this library.
Depends on
- Cauchy-Schwarz $\lvert\langle x,y\rangle\rvert \le \lVert x\rVert_2\lVert y\rVert_2$ with its equality case, the triangle inequality for $\lVert\cdot\rVert_2$, the parallelogram law and polarisation
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- The $p$-norms $\lVert x\rVert_p$ for rational $p \ge 1$, and $\lVert x\rVert_\infty$
- Each $\lVert\cdot\rVert_p$ is a norm on $\mathbb{R}^n$, and the induced metrics are exactly $d_1$, $d_2$ and $d_\infty$ of the published metric-spaces page
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- For $n \ge 1$ all norms on $\mathbb{R}^n$ are equivalent
- The standard list $e : n \to F^{n}$ with $e_i(i) = 1_F$ and $e_i(j) = 0_F$ for $j \ne i$ is an ordered basis of $F^{n}$; hence $\dim_F F^{n} = n$, and $F^{0}$ is the zero space with basis $\varnothing$ and dimension $0$
- Integer powers $a^m$
- The canonical natural $\iota(n) = n \cdot 1_F$ of a field
- Canonical naturals are positive and strictly increasing
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
- Absolute value in an ordered field
- Basic properties of the absolute value
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 181 results over 33 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Parallelogram law (Wikipedia) (standard reference, not scraped)
- Lp space (Wikipedia) (standard reference, not scraped)
- Princeton MAT520 Functional Analysis Lecture Notes (standard reference, not scraped)