Examples of linear transformations of Euclidean space (28.1-28.9)
[9/100%]Let be an orthonormal basis in the subspace . The coordinate columns of these vectors in an orthonormal basis of the space form the matrix . Write, in the basis , the matrix of
orthogonal projection onto the space
the matrix of reflection in the subspace .
Let be a basis in the subspace . The coordinate columns of these vectors in an orthonormal basis of the space form the matrix . Write, in the basis , the matrix:
of orthogonal projection onto the subspace
the matrix of reflection in the subspace .
Let be a basis in the subspace . The coordinate columns of these vectors in a basis of the space form the matrix . The Gram matrix of the basis is given. Write, in the basis , the matrix:
of orthogonal projection onto the subspace
the matrix of reflection in the subspace .
A vector is given, and the subspace is defined by the equation . Find the image of the vector under reflection in and express the matrix of this transformation in terms of the coordinate column a of the vector in an orthonormal basis.
Let a vector and a vector of length 1 be given. Find an -dimensional subspace, under reflection in which is carried into the vector . What is equal to?
Find the matrix of reflection in an -dimensional subspace that carries the vector into the vector . The vectors are given by their coordinate columns and in an orthonormal basis:
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Determine the geometric meaning of the transformation given in an orthonormal basis by the matrix:
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Consider a four-dimensional Euclidean space and an orthonormal basis in it. In all cases the rotation is carried out in the direction from the first of the indicated vectors to the second. Write the matrix:
of a rotation by in the linear span of the vectors and (the vectors of are fixed);
of a rotation by in the linear span of the vectors and (the vectors of are fixed);
of a rotation by in the linear span of the vectors and (the vectors of are fixed);
of a rotation by in the linear span of the vectors and , and by in the linear span of the vectors and .
Let and be two systems of vectors in an -dimensional Euclidean space. Their coordinate columns in an orthonormal basis form, respectively, the matrices and . Find the matrix of the transformation
In the subspaces , orthonormal bases and are chosen. A vector is projected onto , and then the resulting projection is projected onto . This defines a transformation of the subspace . Find its matrix in the basis . Prove that the eigenvalues of this transformation belong to the interval .