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The Vandermonde determinant for real moment-curve vectors
Statement
Let be an integer, let be commuting indeterminates over , and let be the matrix with entry . Then Consequently, for any distinct real numbers , the vectors are linearly independent.
Statement references
Facts & Assumptions
Given: , the polynomial ring , and the matrix in the statement.
is a field, recursively adjoining one polynomial indeterminate to an integral domain again gives an integral domain, and the new indeterminate is the coefficient sequence supported in degree (The reals form a field, Polynomial rings in finitely many commuting indeterminates by iteration, The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution, A polynomial ring over an integral domain is an integral domain). Iterating the domain fact gives that every coefficient ring is an integral domain.
The determinant is the Leibniz signed sum over permutations, is alternating in its columns, and has the identity term with coefficient (For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix, The Leibniz determinant is column-multilinear, alternating and normalized over every commutative ring).
For a commutative coefficient ring , a polynomial vanishes at exactly when divides (Factor theorem over a commutative ring); recursively applying the polynomial-ring universal property gives the ring homomorphism that evaluates all variables at real nodes (Universal property of : a coefficient homomorphism and the image of determine a unique ring homomorphism, Polynomial rings in finitely many commuting indeterminates by iteration).
For every real matrix, determinant nonzero is equivalent to invertibility, and invertibility is equivalent to trivial kernel of its matrix map (A finite square real matrix is invertible if and only if its determinant is nonzero, Invertible matrix theorem: invertibility, full pivot rank, RREF , trivial nullspace and unique solvability are equivalent).
A list of columns is linearly independent exactly when its coefficient-to-column map has trivial kernel (Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent).
Induction applies to natural-number-indexed constructions, including the recursive polynomial-ring construction and the finite sequence of root factors (The natural numbers (von Neumann), The principle of mathematical induction).
Proof
Given: The assumptions and notation above.
By induction on , every iterated ring is an integral domain: the base is a field, hence a domain, and the successor step is exactly [F1]. In each iteration the new indeterminate has coefficient in degree , whereas every preceding indeterminate is embedded as a constant polynomial; since in , all the are pairwise distinct.
For , and the empty product is , so the formula holds. For the inductive step let and suppose the formula holds in size . Put and , so the recursive construction identifies . Regard as a polynomial .
The Leibniz expansion in [F2] shows that only powers occur in , and that the coefficient of is : precisely the terms with exponent in the last column are those permutations fixing the last row, and their remaining signed sum is the Leibniz determinant of . For each , substituting makes the last column equal column , so alternation in [F2] gives .
The elements are distinct in the domain by step 1.1. Starting with , apply [F3] successively at . At stage , if , evaluation at gives Every factor is nonzero, so their product is nonzero in the domain ; hence , and [F3] gives . Induction over these finitely many stages yields for some .
By the induction hypothesis, , which is nonzero because each difference is nonzero in the domain . Thus the coefficient of in is nonzero. The product is monic of degree . If had any nonzero coefficient at a positive power, its highest such power times this monic product would give a nonzero coefficient of above degree , contradicting step 1.3. Therefore is constant, and comparison of the coefficients gives . This proves By induction the determinant formula holds for every .
For distinct real nodes , the evaluation homomorphism in [F3] substitutes them into the formula and gives . By [F4], the square matrix with these moment-curve vectors as columns is invertible, hence has trivial coefficient kernel and linearly independent columns by [F5].
Depends on
- For $n\ge1$, the determinant over a commutative ring by the Leibniz formula, and $|\det A|$ for a real matrix
- The Leibniz determinant is column-multilinear, alternating and normalized over every commutative ring
- A finite square real matrix is invertible if and only if its determinant is nonzero
- Invertible matrix theorem: invertibility, full pivot rank, RREF $I$, trivial nullspace and unique solvability are equivalent
- 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
- Polynomial rings in finitely many commuting indeterminates by iteration
- The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution
- Factor theorem over a commutative ring
- A polynomial ring over an integral domain is an integral domain
- Universal property of $R[x]$: a coefficient homomorphism and the image of $x$ determine a unique ring homomorphism
- The reals form a field
- The natural numbers $\mathbb{N}$ (von Neumann)
- The principle of mathematical induction
Used by
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Sources
- MIT OpenCourseWare 18.013A, Chapter B §1, The Vandermonde Determinant (standard reference, not scraped)