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<article language="en">
	<journal>
		<journal_title>Nonlinear Processes  in Geophysics</journal_title>
		<journal_url>www.nonlin-processes-geophys.net</journal_url>
		<issn>1023-5809</issn>
		<eissn>1607-7946</eissn>
		<volume_number>9</volume_number>
		<issue_number>3/4</issue_number>
		<publication_year>2002</publication_year>
	</journal>
	<doi>10.5194/npg-9-237-2002</doi>
	<article_url>http://www.nonlin-processes-geophys.net/9/237/2002/</article_url>
	<abstract_html>http://www.nonlin-processes-geophys.net/9/237/2002/npg-9-237-2002.html</abstract_html>
	<fulltext_pdf>http://www.nonlin-processes-geophys.net/9/237/2002/npg-9-237-2002.pdf</fulltext_pdf>
	<start_page>237</start_page>
	<end_page>263</end_page>
	<publication_date>0000-00-00</publication_date>
	<article_title content_type="html">Distinguished hyperbolic trajectories in time-dependent fluid flows: analytical and computational approach for velocity fields defined as data sets</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>K. Ide</name>
		</author>
		<author numeration="2" affiliations="2">
			<name>D. Small</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>S. Wiggins</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Atmospheric Sciences, and Institute of Geophysics and Planetary Physics UCLA, Los Angeles, CA 90095-1565, USA</affiliation>
		<affiliation numeration="2" content_type="html">School of Mathematics of Bristol,University Walk, Bristol, BS8 1TW, UK</affiliation>
	</affiliations>
	<abstract content_type="html">In this paper we
      develop analytical and numerical methods for finding special hyperbolic
      trajectories that govern geometry of Lagrangian structures in
      time-dependent vector fields. The vector fields (or velocity fields) may
      have arbitrary time dependence and be realized only as data sets over
      finite time intervals, where space and time are discretized. While the
      notion of a hyperbolic trajectory is central to dynamical systems theory,
      much of the theoretical developments for Lagrangian transport proceed
      under the assumption that such a special hyperbolic trajectory exists.
      This brings in new mathematical issues that must be addressed in order for
      Lagrangian transport theory to be applicable in practice, i.e. how to
      determine whether or not such a trajectory exists and, if it does exist,
      how to identify it in a sequence of instantaneous velocity fields. We
      address these issues by developing the notion of a distinguished
      hyperbolic trajectory (DHT). We develop an existence criteria for certain
      classes of DHTs in general time-dependent velocity fields, based on the
      time evolution of Eulerian structures that are observed in individual
      instantaneous fields over the entire time interval of the data set. We
      demonstrate the concept of DHTs in inhomogeneous (or &amp;quot;forced&amp;quot;)
      time-dependent linear systems and develop a theory and analytical formula
      for computing DHTs. Throughout this work the notion of linearization is
      very important. This is not surprising since hyperbolicity is a &amp;quot;linearized&amp;quot;
      notion. To extend the analytical formula to more general nonlinear
      time-dependent velocity fields, we develop a series of coordinate
      transforms including a type of linearization that is not typically used in
      dynamical systems theory. We refer to it as Eulerian linearization, which
      is related to the frame independence of DHTs, as opposed to the Lagrangian
      linearization, which is typical in dynamical systems theory, which is used
      in the computation of Lyapunov exponents. We present the numerical
      implementation of our method which can be applied to the velocity field
      given as a data set. The main innovation of our method is that it provides
      an approximation to the DHT for the entire time-interval of the data set.
      This offers a great advantage over the conventional methods that require
      certain regions to converge to the DHT in the appropriate direction of
      time and hence much of the data at the beginning and end of the time
      interval is lost.</abstract>
	<references>
	</references>
</article>

