An Entity of Type: Abstraction100002137, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org

In geometry and linear algebra, a Cartesian tensor uses an orthonormal basis to represent a tensor in a Euclidean space in the form of components. Converting a tensor's components from one such basis to another is through an orthogonal transformation. The most familiar coordinate systems are the two-dimensional and three-dimensional Cartesian coordinate systems. Cartesian tensors may be used with any Euclidean space, or more technically, any finite-dimensional vector space over the field of real numbers that has an inner product.

Property Value
dbo:abstract
  • In geometry and linear algebra, a Cartesian tensor uses an orthonormal basis to represent a tensor in a Euclidean space in the form of components. Converting a tensor's components from one such basis to another is through an orthogonal transformation. The most familiar coordinate systems are the two-dimensional and three-dimensional Cartesian coordinate systems. Cartesian tensors may be used with any Euclidean space, or more technically, any finite-dimensional vector space over the field of real numbers that has an inner product. Use of Cartesian tensors occurs in physics and engineering, such as with the Cauchy stress tensor and the moment of inertia tensor in rigid body dynamics. Sometimes general curvilinear coordinates are convenient, as in high-deformation continuum mechanics, or even necessary, as in general relativity. While orthonormal bases may be found for some such coordinate systems (e.g. tangent to spherical coordinates), Cartesian tensors may provide considerable simplification for applications in which rotations of rectilinear coordinate axes suffice. The transformation is a passive transformation, since the coordinates are changed and not the physical system. (en)
dbo:thumbnail
dbo:wikiPageExternalLink
dbo:wikiPageID
  • 1824845 (xsd:integer)
dbo:wikiPageLength
  • 65191 (xsd:nonNegativeInteger)
dbo:wikiPageRevisionID
  • 1121749472 (xsd:integer)
dbo:wikiPageWikiLink
dbp:backgroundColour
  • white (en)
dbp:border
  • 1 (xsd:integer)
dbp:borderColour
  • black (en)
dbp:caption
  • Cyclic permutations of index values and positively oriented cubic volume. (en)
  • Anticyclic permutations of index values and negatively oriented cubic volume. (en)
dbp:cellpadding
  • 6 (xsd:integer)
dbp:footer
  • 259200.0
  • ei ⋅ ej × ek (en)
  • Non-zero values of the Levi-Civita symbol εijk as the volume (en)
dbp:image
  • Epsilon volume anticyclic permutations.svg (en)
  • Epsilon volume cyclic permutations.svg (en)
dbp:indent
  • : (en)
dbp:totalWidth
  • 340 (xsd:integer)
dbp:wikiPageUsesTemplate
dcterms:subject
rdf:type
rdfs:comment
  • In geometry and linear algebra, a Cartesian tensor uses an orthonormal basis to represent a tensor in a Euclidean space in the form of components. Converting a tensor's components from one such basis to another is through an orthogonal transformation. The most familiar coordinate systems are the two-dimensional and three-dimensional Cartesian coordinate systems. Cartesian tensors may be used with any Euclidean space, or more technically, any finite-dimensional vector space over the field of real numbers that has an inner product. (en)
rdfs:label
  • Cartesian tensor (en)
owl:sameAs
prov:wasDerivedFrom
foaf:depiction
foaf:isPrimaryTopicOf
is dbo:wikiPageRedirects of
is dbo:wikiPageWikiLink of
is foaf:primaryTopic of
Powered by OpenLink Virtuoso    This material is Open Knowledge     W3C Semantic Web Technology     This material is Open Knowledge    Valid XHTML + RDFa
This content was extracted from Wikipedia and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License