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          <dc:title>Real Computation with Least Discrete Advice: A Complexity Theory of Nonuniform Computability</dc:title>
          <dc:creator>Ziegler, Martin</dc:creator>
          <dc:subject>Nonuniform computability</dc:subject>
          <dc:subject>recursive analysis</dc:subject>
          <dc:subject>topological complexity</dc:subject>
          <dc:subject>linear algebra</dc:subject>
          <dc:description>It is folklore particularly in numerical and computer sciences that, instead of solving some general problem $f:A\to B$, additional structural information about the input $x\in A$ (that is any kind of promise that $x$ belongs to a certain subset $A'\subseteq A$) should be taken advantage of. Some examples from real number computation show that such discrete advice can even make the difference between computability and uncomputability. We turn this into a both topological and combinatorial complexity theory of information, investigating for several practical problem show much advice is necessary and sufficient to render them computable.&#13;
&#13;
Specifically, finding a nontrivial solution to a homogeneous linear equation $A\cdot\vec x=0$ for a given singular real $n\times n$-matrix $A$ is possible when knowing $\rank(A)\in\{0,1,\ldots,n-1\}$; and we show this to be best possible. Similarly, diagonalizing (i.e. finding a basis of eigenvectors of) a given real symmetric $n\times n$-matrix $A$ is possible when knowing the number of distinct eigenvalues: an integer between $1$ and $n$ (the latter corresponding to the nondegenerate case). And again we show that $n$--fold (i.e. roughly $\log n$ bits of) additional information is indeed necessary in order to render this problem (continuous and) computable; whereas finding \emph{some single} eigenvector of $A$ requires and suffices with $\Theta(\log n)$--fold advice.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Martin Ziegler</dc:contributor>
          <dc:date>2009</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 11, 6th International Conference on Computability and Complexity in Analysis (CCA'09) (2009)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.CCA.2009.2277</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-22770</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CCA.2009.2277</dc:identifier>
          <dc:language>eng</dc:language>
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