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In mathematics, an eigenplane is a two-dimensional invariant subspace in a given vector space. By analogy with the term ''eigenvector'' for a vector which, when operated on by a linear operator is another vector which is a scalar multiple of itself, the term ''eigenplane'' can be used to describe a two-dimensional plane (a ''2-plane''), such that the operation of a linear operator on a vector in the 2-plane always yields another vector in the same 2-plane. A particular case that has been studied is that in which the linear operator is an isometry ''M'' of the hypersphere (written ''S3'') represented within four-dimensional Euclidean space: : where s and t are four-dimensional column vectors and Λθ is a two-dimensional eigenrotation within the eigenplane. In the usual eigenvector problem, there is freedom to multiply an eigenvector by an arbitrary scalar; in this case there is freedom to multiply by an arbitrary non-zero rotation. This case is potentially physically interesting in the case that the shape of the universe is a multiply connected 3-manifold, since finding the angles of the eigenrotations of a candidate isometry for topological lensing is a way to falsify such hypotheses. ==See also== * Bivector * Plane of rotation 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Eigenplane」の詳細全文を読む スポンサード リンク
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