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Triangle inequality for the finite NUFFT Euclidean norm
Statement
For a finite index set and arrays , the Euclidean norm of Finite complex-array norms used by the NUFFT certificates satisfies
Facts & Assumptions
Given: A finite set and arrays with the counting inner product and norms of Finite complex-array norms used by the NUFFT certificates.
Dedekind-complete ordered real field and Squares of nonzero elements are positive: finite sums of nonnegative reals are nonnegative; a nonzero real square is positive, and a positive summand makes such a finite sum positive.
Squaring is monotone on the nonnegatives: for nonnegative reals, comparison of squares is equivalent to comparison of the numbers.
Proof
First prove Cauchy–Schwarz for these arrays. If , its inner product with is zero. If , choose with ; [F2]–[F3] give . Put and . Expanding the finite sum using [F1] and conjugation laws gives Multiplying by the positive denominator yields ; all quantities are nonnegative, so [F4] gives .
Expand the squared norm: where the inequality follows from step 1.1 and , itself immediate from and [F4]. Both sides before squaring are nonnegative, so [F4] gives the stated triangle inequality.
Depends on
- Finite complex-array norms used by the NUFFT certificates
- Dedekind-complete ordered real field
- Squares of nonzero elements are positive
- Squaring is monotone on the nonnegatives
- Conjugation is an involutive real-field automorphism, $z\overline z=|z|^2$, and modulus is definite, multiplicative, and subadditive
- Real and imaginary parts, complex conjugation, and modulus
Used by
Dependency tree · two levels
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Sources
- Sheldon Axler, Linear Algebra Done Right, fourth edition (standard reference, not scraped)