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.
The two-term Lagrange identity and Cauchy-Schwarz
Example
For all reals , with two-entry sums as in Finite sums and finite products, by recursion,
consequently
with equality exactly when . That equality criterion is the two-entry form of the proportionality clause of The Cauchy-Schwarz inequality for finite sums: by the equality clause of that theorem, equality in its squared inequality holds if and only if the two lists are proportional, and the display above shows that for two entries equality holds if and only if vanishes. The instance , , , reads .
Facts & Assumptions
Given: Reals , with , , and .
Two-entry sums and their laws (Finite sums and finite products, by recursion, Laws of finite sums and finite products): , sums are additive and scale, and a sum of nonnegative terms is nonnegative.
Definition of powers (Integer powers ): and for every real and natural ; in particular .
Laws of natural exponents (Laws of integer exponents): and for all reals and naturals ; in particular .
Sign rules (Sign rules for products: and ): and for all reals , which is what turns the middle term into the two cross terms of a square.
Squares (Squares of nonzero elements are positive, Multiplication by zero: ): for every , while ; hence for every real , and holds exactly for .
Cauchy-Schwarz, squared form (The Cauchy-Schwarz inequality for finite sums): for all reals and every natural , with equality if and only if the two lists are proportional, that is, there is a pair with for all ; the root form of that theorem is a restatement through Square roots exist: a unique with ; the positives are .
Verification
The two-entry evaluations of [L1] give , , and , all four being real numbers determined by the given data.
The identity: expanding both products by distributivity and collecting terms by [L2] and [L3], , and the outer terms cancel, leaving , which is ; the sign of the cross term is the rule of [L4].
The square is nonnegative and vanishes only at : if then by [L5], and if then by [L5] and [L2].
Substituting step 1.2 into step 1.3 gives , that is ; and equality holds exactly when , which by step 1.3 means exactly , that is .
The instance: at , , , direct evaluation gives , , and , so that , in agreement with the identity of step 1.2.
The equality criteria agree: by [L6] applied at , equality holds if and only if the lists and are proportional in the symmetric sense; by step 2.1 the same equality holds if and only if ; hence holds exactly when the two-entry lists are proportional, which is the identification claimed between the local criterion and the clause of [L6].
Collecting the results: the identity of step 1.2 holds for all reals, step 2.1 gives the inequality with its equality criterion, step 3.1 identifies that criterion with the two-entry proportionality clause of [L6], and step 2.2 verifies the numerical instance, completing the example.
Depends on
- The Cauchy-Schwarz inequality for finite sums
- Finite sums and finite products, by recursion
- Laws of finite sums and finite products
- Squares of nonzero elements are positive
- Integer powers $a^m$
- Laws of integer exponents
- Sign rules for products: $(-a)b = -(ab)$ and $(-a)(-b) = ab$
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
- Multiplication by zero: $0 \cdot a = 0$
Used by
Dependency tree · two levels
33 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John K. Hunter, An Introduction to Real Analysis (author-hosted complete lecture notes, University of California at Davis) (standard reference, not scraped)