The eigenvectors have very important properties called orthogonality properties.
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Orthogonality can be verified by showing that the vector dot product is zero.
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The case of a pseudo-Euclidean plane uses the term hyperbolic orthogonality.
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Orthogonality can be verified by showing the vector dot product is zero.
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This also reduced the number of addressing modes and orthogonality.
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Orthogonality allows a suitable basis set of vectors to represent the state of the quantum system.
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The alkyne is not as small, but it still has the stability and orthogonality necessary for in vivo labeling.
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Here, the projections are accomplished by the orthogonality of the solenoidal and irrotational function spaces.
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Synchronous CDMA exploits mathematical properties of orthogonality between vectors representing the data strings.
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More examples
The relation of opposition between things at right angles
The quality of lying or intersecting at right angles
(orthogonal) extraneous: not pertinent to the matter under consideration; "an issue extraneous to the debate"; "the price was immaterial"; "mentioned several impertinent facts before finally coming to the point"
(orthogonal) statistically unrelated
(orthogonal) having a set of mutually perpendicular axes; meeting at right angles; "wind and sea may displace the ship's center of gravity along three orthogonal axes"; "a rectangular Cartesian coordinate system"
In mathematics, two vectors are orthogonal if they are perpendicular, i.e., they form a right angle. The word comes from the Greek ' (orthos), meaning "straight", and ' (gonia), meaning "angle".
Orthogonality in a programming language means that a relatively small set of primitive constructs can be combined in a relatively small number of ways to build the control and data structures of the language. The term is most frequently used with regards to assembly instruction sets.
Orthogonality as a property of term rewriting systems describes where the reduction rules of the system are all left-linear, that is each variable occurs only once on the left hand side of each reduction rule, and there is no overlap between them.