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In mathematics, the Silverman–Toeplitz theorem, first proved by Otto Toeplitz, is a result in series summability theory characterizing matrix summability methods that are regular. A regular matrix summability method is a linear sequence transformation that preserves the limits of convergent sequences . [ 1 ]
Silverman–Toeplitz theorem; Summation by parts; Z. Zeldovich regularization; Zeta function regularization This page was last edited on 9 January 2014, at 19:17 (UTC ...
The Silverman–Toeplitz theorem characterizes matrix summation methods, which are methods for summing a divergent series by applying an infinite matrix to the vector of coefficients. The most general methods for summing a divergent series are non-constructive and concern Banach limits .
For example, it is commonly ... Silverman–Toeplitz theorem; Stolz–Cesàro theorem; Cauchy's limit theorem; Summation by parts; References Bibliography ...
Siegel–Walfisz theorem (analytic number theory) Silverman–Toeplitz theorem (mathematical analysis) Simplicial approximation theorem (algebraic topology) Sinkhorn's theorem (matrix theory) Sion's minimax theorem (game theory) Sipser–Lautemann theorem (probabilistic complexity theory) (structural complexity theory)
Sarason interpolation theorem; Sard's theorem; Shift theorem; Silverman–Toeplitz theorem; Stahl's theorem; Stirling's approximation; Stone–Weierstrass theorem; Strichartz estimate; Sturm separation theorem; Sturm–Picone comparison theorem; Symmetry of second derivatives; Szegő limit theorems
The inscribed square problem, also known as the square peg problem or the Toeplitz' conjecture, is an unsolved question in geometry: Does every plane simple closed curve contain all four vertices of some square? This is true if the curve is convex or piecewise smooth and in other special cases. The problem was proposed by Otto Toeplitz in 1911. [1]
is called a Toeplitz system if is a Toeplitz matrix. If A {\displaystyle A} is an n × n {\displaystyle n\times n} Toeplitz matrix, then the system has at most only 2 n − 1 {\displaystyle 2n-1} unique values, rather than n 2 {\displaystyle n^{2}} .
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