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		<id>https://en.formulasearchengine.com/w/index.php?title=Diffusion_capacitance&amp;diff=9398</id>
		<title>Diffusion capacitance</title>
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		<summary type="html">&lt;p&gt;117.199.194.157: &lt;/p&gt;
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&lt;div&gt;In [[mathematics]], the &#039;&#039;&#039;Silverman–Toeplitz theorem&#039;&#039;&#039;, first proved by [[Otto Toeplitz]], is a result in [[summability theory]] characterizing [[Matrix (mathematics)|matrix]] summability methods that are regular. A regular matrix summability method is a matrix transformation of a [[convergent sequence]] which preserves the [[Limit of a sequence|limit]].&lt;br /&gt;
&lt;br /&gt;
An [[infinite matrix]] &amp;lt;math&amp;gt;(a_{i,j})_{i,j \in \mathbb{N}}&amp;lt;/math&amp;gt; with [[complex number|complex]]-valued entries defines a regular summability method [[if and only if]] it satisfies all of the following properties&lt;br /&gt;
:&amp;lt;math&amp;gt;\lim_{i \to \infty} a_{i,j} = 0 \quad j \in \mathbb{N}&amp;lt;/math&amp;gt; (every column sequence converges to 0)&lt;br /&gt;
:&amp;lt;math&amp;gt;\lim_{i \to \infty} \sum_{j=0}^{\infty} a_{i,j} = 1&amp;lt;/math&amp;gt; (the row sums converge to 1)&lt;br /&gt;
:&amp;lt;math&amp;gt;\sup_{i} \sum_{j=0}^{\infty} \vert a_{i,j} \vert &amp;lt; \infty&amp;lt;/math&amp;gt; (the absolute row sums are bounded).&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
* Toeplitz, Otto (1911) &amp;quot;[http://matwbn.icm.edu.pl/ksiazki/pmf/pmf22/pmf2219.pdf &#039;&#039;Über die lineare Mittelbildungen.&#039;&#039;]&amp;quot; &#039;&#039;Prace mat.-fiz.&#039;&#039;, &#039;&#039;&#039;22&#039;&#039;&#039;, 113–118 (the original paper in [[German language|German]])&lt;br /&gt;
* Silverman, Louis Lazarus (1913) &amp;quot;On the definition of the sum of a divergent series.&amp;quot; University of Missouri Studies, Math. Series I, 1–96&lt;br /&gt;
&lt;br /&gt;
{{DEFAULTSORT:Silverman-Toeplitz theorem}}&lt;br /&gt;
[[Category:Theorems in analysis]]&lt;br /&gt;
[[Category:Summability methods]]&lt;br /&gt;
[[Category:Summability theory]]&lt;/div&gt;</summary>
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