How statement and proof provenance work
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Cauchy estimates on a bidisc, computed and compared with the exact derivatives
Example
Let on , let , and let the polyradius be with . Then the distinguished-boundary supremum is
so the Cauchy estimate gives
For the exact value is , whereas the bound is , minimized at with value .
Facts & Assumptions
Given: The function , the centre , a real , and the multi-index .
Cauchy estimates on a polydisc give , where is the distinguished-boundary supremum and is the product of the inverse powers of the radii (Cauchy estimates for mixed derivatives on a polydisc).
The power-series expansion of is on every bidisc, and that series therefore defines a holomorphic function there (The power series of on every bidisc, An absolutely convergent multi-indexed power series is holomorphic and differentiates termwise).
for complex (, , and ).
For a convergent multivariable power series, the coefficient of is (The coefficients of a convergent multi-indexed power series are its derivative coefficients, hence unique).
Verification
If , then , with equality at . So .
Since [L2] makes holomorphic on every bidisc about , applying [L1] with the supremum of step 1.1 gives for every multi-index .
By [L2], the coefficient of is , so [L4] gives . Thus the estimate for is .
The function satisfies , so its unique critical point on is , where it takes the value ; hence this example's best bound is .
Depends on
- Cauchy estimates for mixed derivatives on a polydisc
- The power series of $\exp(z_0+z_1)$ on every bidisc
- $\exp(x+iy)=e^x(\cos y+i\sin y)$, $|\exp(x+iy)|=e^x$, and $e^{i\pi}+1=0$
- The factorial $n!$ and the falling factorial $n^{\underline{k}}$, defined by recursion in $\mathbb{N}$
- An absolutely convergent multi-indexed power series is holomorphic and differentiates termwise
- The coefficients of a convergent multi-indexed power series are its derivative coefficients, hence unique
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
57 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
- J. Lebl, Tasty Bits of Several Complex Variables, v4.4, §1.2 (standard reference, not scraped)