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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The normalised sinc function
Definition
The normalised sinc function is , given for by the quotient and at the origin by continuity,
The values displayed show that is real-valued: the sine and the identity of The derivatives of sine and cosine are cosine and minus sine are real functions there, and the quotient of real numbers is real.
Well-definedness. At every the numerator and denominator are defined and , so the quotient of real numbers is defined (The complex exponential by its power series is needed only to fix the ambient convention in which , and the real numbers are embedded in ). The value at is assigned separately; it is the correct limit, , because as and (The limit of sin x divided by x at zero is one), the substitution being the case of Composition of limits holds under either hypothesis: is defined at with value , or avoids on a punctured neighbourhood of in which the inner function does not take the value away from ; with this value is continuous at , and it is continuous at every because is a composite of continuous functions (The derivatives of sine and cosine are cosine and minus sine gives differentiability, hence continuity, and A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs) and is a quotient with nonvanishing denominator, so Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function gives the quotient.
Symmetry and integer values. Sine is odd (Parity and the Pythagorean identity for sine and cosine), so for , , and the same identity holds at ; thus is even. For an integer , by the zero set of sine (The zero sets of sine and cosine and the least positive common period 2 pi), so , while . Hence for every nonzero integer , and the kernel vanishes at every sampling point except its own.
Bounds. For every real , : at this is an equality, and for the one-Lipschitz estimate (Sine and cosine are -Lipschitz on ) with and (The derivatives of sine and cosine are cosine and minus sine) gives , which proves the bound after division by . For every one also has , since (Parity and the Pythagorean identity for sine and cosine) and division by gives this tail estimate.
This is the normalisation used by the sampling theorem on this page: the reconstruction series is , and the kernel vanishes at every sampling point except its own, as proved above. The Fourier identity is not asserted by this definition; it is proved directly where the sampling theorem consumes it, from the complex primitive of the exponential. The complex exponential convention underlying that display is , , and .
No choice principle is used in this item.
Depends on
- The complex exponential by its power series
- $\exp(x+iy)=e^x(\cos y+i\sin y)$, $|\exp(x+iy)|=e^x$, and $e^{i\pi}+1=0$
- The derivatives of sine and cosine are cosine and minus sine
- The zero sets of sine and cosine and the least positive common period 2 pi
- Parity and the Pythagorean identity for sine and cosine
- Sine and cosine are $1$-Lipschitz on $\mathbb{R}$
- The limit of sin x divided by x at zero is one
- Composition of limits holds under either hypothesis: $f$ is defined at $L$ with value $M$, or $g$ avoids $L$ on a punctured neighbourhood of $c$
- Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function
- A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs
Used by
Dependency tree · two levels
52 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
- Richard S. Laugesen, Harmonic Analysis Lecture Notes (arXiv:0903.3845) (standard reference, not scraped)
- Lior Silberman, Fourier series and the Poisson summation formula (Math 604/613 notes, UBC) (standard reference, not scraped)