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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
FALSE: the union of two linearly independent subsets of a vector space is linearly independent
Statement
FALSE. If and are linearly independent subsets of a vector space over a field (Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent), then is linearly independent.
Facts & Assumptions
Given: A field , the vector space with pointwise operations, and the vectors , and .
has exactly three elements and is linearly dependent ( spans and is linearly dependent, so a spanning set need not be a basis; each of its three two-element subsets is a basis: the three-element count is stated there and claim 2 is that the set is linearly dependent).
, and for the equation forces (, which is when , and when contains only as the multiple , claims 1 and 3).
A subset is linearly independent when every injective finite list into is; an independent list is injective and never ; and every subset of an independent set is independent (Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent, Finite sums re-indexed along an injection, with a zero term deleted, and concatenated; and the closure properties of linear independence: an independent list is injective and never , its sublists are independent, a list is independent exactly when it is injective with linearly independent image, and every subset of a linearly independent set is linearly independent, claims 4 and 7).
In : elements are equal exactly when they agree at and at ; ; (The vector space of all functions with pointwise operations, and as the case , Vector space over a field, In any vector space , , , , and forces or , Field, The natural numbers (von Neumann), On the order is membership: , Injection, surjection, bijection).
Refutation
Take over an arbitrary field , and . Then is linearly independent, being a basis of .
is linearly independent. Its only injective finite lists are the empty one, which is independent, and the one-term list ; for the latter, , and because , so forces .
, which is linearly dependent.
So and are linearly independent subsets of whose union is linearly dependent, and the statement above is false.
Remarks
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What survives. Two true statements sit either side of the false one. First, every subset of a linearly independent set is linearly independent (Finite sums re-indexed along an injection, with a zero term deleted, and concatenated; and the closure properties of linear independence: an independent list is injective and never , its sublists are independent, a list is independent exactly when it is injective with linearly independent image, and every subset of a linearly independent set is linearly independent, claim 7) — independence is inherited downwards, never upwards. Second, adjoining a vector outside the span preserves independence: if is independent and then is independent (If is linearly independent and then is linearly independent and ; and if then ). The false claim is what remains after the second hypothesis is dropped, and dropping it is exactly what goes wrong above: lies in .
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Independence is a property of a set, not of its members one at a time. Every single one of , , spans an independent singleton, and every two-element subset of is even a basis of ( spans and is linearly dependent, so a spanning set need not be a basis; each of its three two-element subsets is a basis); it is only the three together that fail. So no amount of checking pieces establishes independence of a union.
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A sufficient repair, stated but not proved here. If and are linearly independent, disjoint, and , then is linearly independent; an argument of exactly that shape, carried out by hand for three blocks rather than two, is what proves the independence step of The dimension formula: for finite-dimensional linear subspaces and of , the subspaces and are finite-dimensional and . This library does not record the general statement as a separate item, and nothing above uses it. The span condition is sufficient, not necessary: taking nonempty gives an independent union while is as large as it can be.
Depends on
- $\{(1,0), (0,1), (1,1)\}$ spans $F^{2}$ and is linearly dependent, so a spanning set need not be a basis; each of its three two-element subsets is a basis
- Linear independence: a finite list $v : n \to V$ is independent when $\sum_{i<n} \lambda_i v_i = 0_V$ forces every $\lambda_i = 0_F$, and a subset $S \subseteq V$ is independent when every injective finite list into $S$ is independent
- Finite sums re-indexed along an injection, with a zero term deleted, and concatenated; and the closure properties of linear independence: an independent list is injective and never $0_V$, its sublists are independent, a list is independent exactly when it is injective with linearly independent image, and every subset of a linearly independent set is linearly independent
- A subset $S \subseteq V$ is linearly dependent if and only if some $s \in S$ lies in $\operatorname{span}(S \setminus \{s\})$; and $\operatorname{span}(S)$ is already the set of linear combinations of INJECTIVE finite lists into $S$
- If $S \subseteq V$ is linearly independent and $w \notin \operatorname{span}(S)$ then $S \cup \{w\}$ is linearly independent and $\operatorname{span}(S) \subsetneq \operatorname{span}(S \cup \{w\})$; and if $w \in \operatorname{span}(S)$ then $\operatorname{span}(S \cup \{w\}) = \operatorname{span}(S)$
- 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 $0$
- $\operatorname{span}\{v\} = \{\, \lambda v : \lambda \in F \,\}$, which is $\{0_V\}$ when $v = 0_V$, and when $v \ne 0_V$ contains $0_V$ only as the multiple $0_F v$
- Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
- Linear combination of a finite list, and the span $\operatorname{span}(S)$ as the smallest linear subspace containing $S$
- The product $g_0 g_1 \cdots g_{n-1}$ of a finite list in a monoid, by recursion, with the empty product ($n = 0$) equal to the identity
- The vector space $F^{X}$ of all functions $X \to F$ with pointwise operations, and $F^{n}$ as the case $X = n = \{0, 1, \dots, n-1\}$
- Vector space over a field
- Field
- In any vector space $0_F v = 0_V$, $\lambda 0_V = 0_V$, $(-\lambda)v = -(\lambda v)$, $(-1_F)v = -v$, and $\lambda v = 0_V$ forces $\lambda = 0_F$ or $v = 0_V$
- The natural numbers $\mathbb{N}$ (von Neumann)
- On $\mathbb{N}$ the order is membership: $m < n \iff m \in n$
- Injection, surjection, bijection
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: 87 results over 30 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
- Linear independence (Wikipedia) (standard reference, not scraped)
- Basis (linear algebra) (Wikipedia) (standard reference, not scraped)
- Jim Hefferon, Linear Algebra: Answers to exercises (standard reference, not scraped)