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− | P. Antosik and J. Mikusinski have introduced a stronger form of sequential convergence (cf. also [[Sequential space|Sequential space]]), called <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k1200102.png" />-convergence, which has found applications in a number of areas of analysis. If <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k1200103.png" /> is a sequence in a Hausdorff Abelian [[Topological group|topological group]] <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k1200104.png" />, then <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k1200105.png" /> is <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k1200108.png" />-<img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k1200109.png" />-convergent if every subsequence of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001010.png" /> has a further subsequence <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001011.png" /> such that the subseries <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001012.png" /> is <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001013.png" />-convergent in <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001014.png" />. Any <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001015.png" />-<img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001016.png" />-convergent sequence is obviously <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001018.png" />-null (<img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001019.png" /> convergent to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001020.png" />), but the converse does not hold in general although it does hold in a complete metric linear space. A space in which null sequences are <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001021.png" />-convergent is called a <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001023.png" />-space; a complete metric linear space is a <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001024.png" />-space, but there are examples of normal <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001025.png" />-spaces that are not complete [[#References|[a2]]]. | + | {{TEX|done}} |
| + | P. Antosik and J. Mikusinski have introduced a stronger form of sequential convergence (cf. also [[Sequential space|Sequential space]]), called $\mathcal K$-convergence, which has found applications in a number of areas of analysis. If $\{x_k\}$ is a sequence in a Hausdorff Abelian [[Topological group|topological group]] $(G,\tau)$, then $\{x_k\}$ is $\tau$-$\mathcal K$-convergent if every subsequence of $\{x_k\}$ has a further subsequence $\{x_{n_k}\}$ such that the subseries $\sum_{k=1}^\infty x_{n_k}$ is $\tau$-convergent in $G$. Any $\tau$-$\mathcal K$-convergent sequence is obviously $\tau$-null ($\tau$ convergent to $0$), but the converse does not hold in general although it does hold in a complete metric linear space. A space in which null sequences are $\mathcal K$-convergent is called a $\mathcal K$-space; a complete metric linear space is a $\mathcal K$-space, but there are examples of normal $\mathcal K$-spaces that are not complete [[#References|[a2]]]. |
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− | One of the principal uses of the notion of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001026.png" />-convergence is in formulating versions of some of the classical results of [[Functional analysis|functional analysis]] without imposing completeness or barrelledness assumptions. A subset <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001027.png" /> of a [[Topological vector space|topological vector space]] <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001028.png" /> is bounded if for every sequence <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001029.png" /> and every null scalar sequence <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001030.png" />, the sequence <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001031.png" /> is a null sequence in <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001032.png" />. A stronger form of boundedness is obtained by replacing the condition that <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001033.png" /> be a null sequence by the stronger requirement that <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001034.png" /> is <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001035.png" />-convergent; sets satisfying this stronger condition are called <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001037.png" />-bounded. In general, bounded sets are not <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001038.png" />-bounded; spaces for which the bounded sets are <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001039.png" />-bounded are called <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001041.png" />-spaces. Thus, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001042.png" />-spaces are <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001043.png" />-spaces but there are examples of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001044.png" />-spaces that are not <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001045.png" />-spaces. Using the notion of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001046.png" />-boundedness, a version of the uniform boundedness principle (cf. [[Uniform boundedness|Uniform boundedness]]) can be formulated which requires no completeness or barrelledness assumptions on the domain space of the operators. If <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001047.png" /> and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001048.png" /> are topological vector spaces and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001049.png" /> is a family of continuous linear operators from <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001050.png" /> into <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001051.png" /> which is pointwise bounded on <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001052.png" />, then <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001053.png" /> is uniformly bounded on <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001054.png" />-bounded subsets of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001055.png" />. If <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001056.png" /> is a complete metric linear space, this statement generalizes the classical uniform boundedness principle for <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001058.png" />-spaces since in this case <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/k/k120/k120010/k12001059.png" /> is equicontinuous (cf. also [[Equicontinuity|Equicontinuity]]). Similar versions of the [[Banach–Steinhaus theorem|Banach–Steinhaus theorem]] and the [[Mazur–Orlicz theorem|Mazur–Orlicz theorem]] on the joint continuity of separately continuous bilinear operators are possible. See [[#References|[a1]]] or [[#References|[a3]]] for these and further results. | + | One of the principal uses of the notion of $\mathcal K$-convergence is in formulating versions of some of the classical results of [[Functional analysis|functional analysis]] without imposing completeness or barrelledness assumptions. A subset $B$ of a [[Topological vector space|topological vector space]] $E$ is bounded if for every sequence $\{x_k\}\subset B$ and every null scalar sequence $\{t_k\}$, the sequence $\{t_kx_k\}$ is a null sequence in $E$. A stronger form of boundedness is obtained by replacing the condition that $\{t_kx_k\}$ be a null sequence by the stronger requirement that $\{t_kx_k\}$ is $\mathcal K$-convergent; sets satisfying this stronger condition are called $\mathcal K$-bounded. In general, bounded sets are not $\mathcal K$-bounded; spaces for which the bounded sets are $\mathcal K$-bounded are called $\mathcal A$-spaces. Thus, $\mathcal K$-spaces are $\mathcal A$-spaces but there are examples of $\mathcal A$-spaces that are not $\mathcal K$-spaces. Using the notion of $\mathcal K$-boundedness, a version of the uniform boundedness principle (cf. [[Uniform boundedness|Uniform boundedness]]) can be formulated which requires no completeness or barrelledness assumptions on the domain space of the operators. If $E$ and $F$ are topological vector spaces and $\Gamma$ is a family of continuous linear operators from $E$ into $F$ which is pointwise bounded on $E$, then $\Gamma$ is uniformly bounded on $\mathcal K$-bounded subsets of $E$. If $E$ is a complete metric linear space, this statement generalizes the classical uniform boundedness principle for $F$-spaces since in this case $\Gamma$ is equicontinuous (cf. also [[Equicontinuity|Equicontinuity]]). Similar versions of the [[Banach–Steinhaus theorem|Banach–Steinhaus theorem]] and the [[Mazur–Orlicz theorem|Mazur–Orlicz theorem]] on the joint continuity of separately continuous bilinear operators are possible. See [[#References|[a1]]] or [[#References|[a3]]] for these and further results. |
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| ====References==== | | ====References==== |
| <table><TR><TD valign="top">[a1]</TD> <TD valign="top"> P. Antosik, C. Swartz, "Matrix methods in analysis" , ''Lecture Notes Math.'' , '''1113''' , Springer (1985)</TD></TR><TR><TD valign="top">[a2]</TD> <TD valign="top"> C. Klis, "An example of a non-complete (K) space" ''Bull. Acad. Polon. Sci.'' , '''26''' (1978) pp. 415–420</TD></TR><TR><TD valign="top">[a3]</TD> <TD valign="top"> C. Swartz, "Infinite matrices and the gliding hump" , World Sci. (1996)</TD></TR></table> | | <table><TR><TD valign="top">[a1]</TD> <TD valign="top"> P. Antosik, C. Swartz, "Matrix methods in analysis" , ''Lecture Notes Math.'' , '''1113''' , Springer (1985)</TD></TR><TR><TD valign="top">[a2]</TD> <TD valign="top"> C. Klis, "An example of a non-complete (K) space" ''Bull. Acad. Polon. Sci.'' , '''26''' (1978) pp. 415–420</TD></TR><TR><TD valign="top">[a3]</TD> <TD valign="top"> C. Swartz, "Infinite matrices and the gliding hump" , World Sci. (1996)</TD></TR></table> |
Latest revision as of 12:08, 3 August 2014
P. Antosik and J. Mikusinski have introduced a stronger form of sequential convergence (cf. also Sequential space), called $\mathcal K$-convergence, which has found applications in a number of areas of analysis. If $\{x_k\}$ is a sequence in a Hausdorff Abelian topological group $(G,\tau)$, then $\{x_k\}$ is $\tau$-$\mathcal K$-convergent if every subsequence of $\{x_k\}$ has a further subsequence $\{x_{n_k}\}$ such that the subseries $\sum_{k=1}^\infty x_{n_k}$ is $\tau$-convergent in $G$. Any $\tau$-$\mathcal K$-convergent sequence is obviously $\tau$-null ($\tau$ convergent to $0$), but the converse does not hold in general although it does hold in a complete metric linear space. A space in which null sequences are $\mathcal K$-convergent is called a $\mathcal K$-space; a complete metric linear space is a $\mathcal K$-space, but there are examples of normal $\mathcal K$-spaces that are not complete [a2].
One of the principal uses of the notion of $\mathcal K$-convergence is in formulating versions of some of the classical results of functional analysis without imposing completeness or barrelledness assumptions. A subset $B$ of a topological vector space $E$ is bounded if for every sequence $\{x_k\}\subset B$ and every null scalar sequence $\{t_k\}$, the sequence $\{t_kx_k\}$ is a null sequence in $E$. A stronger form of boundedness is obtained by replacing the condition that $\{t_kx_k\}$ be a null sequence by the stronger requirement that $\{t_kx_k\}$ is $\mathcal K$-convergent; sets satisfying this stronger condition are called $\mathcal K$-bounded. In general, bounded sets are not $\mathcal K$-bounded; spaces for which the bounded sets are $\mathcal K$-bounded are called $\mathcal A$-spaces. Thus, $\mathcal K$-spaces are $\mathcal A$-spaces but there are examples of $\mathcal A$-spaces that are not $\mathcal K$-spaces. Using the notion of $\mathcal K$-boundedness, a version of the uniform boundedness principle (cf. Uniform boundedness) can be formulated which requires no completeness or barrelledness assumptions on the domain space of the operators. If $E$ and $F$ are topological vector spaces and $\Gamma$ is a family of continuous linear operators from $E$ into $F$ which is pointwise bounded on $E$, then $\Gamma$ is uniformly bounded on $\mathcal K$-bounded subsets of $E$. If $E$ is a complete metric linear space, this statement generalizes the classical uniform boundedness principle for $F$-spaces since in this case $\Gamma$ is equicontinuous (cf. also Equicontinuity). Similar versions of the Banach–Steinhaus theorem and the Mazur–Orlicz theorem on the joint continuity of separately continuous bilinear operators are possible. See [a1] or [a3] for these and further results.
References
[a1] | P. Antosik, C. Swartz, "Matrix methods in analysis" , Lecture Notes Math. , 1113 , Springer (1985) |
[a2] | C. Klis, "An example of a non-complete (K) space" Bull. Acad. Polon. Sci. , 26 (1978) pp. 415–420 |
[a3] | C. Swartz, "Infinite matrices and the gliding hump" , World Sci. (1996) |
How to Cite This Entry:
K-convergence. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=K-convergence&oldid=32695
This article was adapted from an original article by Charles W. Swartz (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098.
See original article