Definition of Euclidean space (25.1-25.19)
[19/47%]Let be a fixed nonzero vector in geometric space. To an arbitrary pair of vectors let us assign:
the mixed product
the inner product
;
;
.
Can such a function be taken as an inner product?
Can the inner product in a real -dimensional vector space be given by the following function of the coordinates of the vectors:
,
(1) ;
(2)
.
An ellipse with semi-axes 2 and 1 is drawn in the plane. Let a vector be given. Consider the vector , codirectional with , whose start is the center of the ellipse and whose end lies on the ellipse. Set , and . Now to an arbitrary pair of vectors one can assign the number
Prove that this defines an inner product. Find its expression in terms of the coordinates of the vectors in the canonical coordinate system of the ellipse.
Prove that the function is written in terms of the entries of the matrices by formula (1) of the introduction, and can be taken as an inner product in the space of real matrices of size .
The Euclidean norm of a matrix is called its length with respect to this inner product. Prove that the Euclidean norm equals the square root of the sum of the squares of all entries of the matrix.
Find the lengths of the vectors of the standard basis and the angles between them with respect to this inner product.
Consider the space of square matrices of order , and to each pair of matrices assign a number:
.
Can such a function be taken as an inner product?
Let be a fixed square matrix of order . Under what conditions on this matrix is the function an inner product in the vector space of matrices of size ?
In the vector space of functions continuous on the segment , to the functions and let us assign the number
Prove that this defines an inner product.
In the vector space of polynomials of degree at most , to two polynomials and a number is assigned. Prove that this defines an inner product:
is the sum of products of the derivatives of order , evaluated at the point ,
is the sum of products of the coefficients of equal powers,
is the sum of products of the values of and at distinct points,
. (Verify that the requirement is necessary.)
Prove that in the Euclidean space of problem the Legendre polynomials
form an orthogonal basis. Find the lengths (norms) of these polynomials.
Let be a basis in a vector space . Prove that there exists in one and only one inner product with respect to which the basis is orthonormal.
Let two inner products and be given in a real vector space. Prove that for any positive numbers and the function is also an inner product.
A vector space is given as the direct sum of subspaces and , in which inner products and are given. Let and , where . Prove that the function is an inner product on .
Let be the length of a vector in a Euclidean space. Prove that:
.
Let two inner products and be given in a real vector space, and let every vector have the same length in each of them: . Prove that the inner products coincide.
In the space of polynomials of degree with the standard inner product, a triangle is given with sides and . Find
the angles of the triangle
the lengths of its sides.
Prove that a triangle in a Euclidean space is right-angled if and only if the length of one of the sides equals the length of another side multiplied by the cosine of the angle between these sides.
Prove that a median of a triangle in a Euclidean space is shorter than one of the sides between which it lies.
Prove that the sum of the angles of an arbitrary triangle in a Euclidean space equals .
Let be a finite-dimensional vector space. Prove that choosing a specific isomorphism of onto its dual is equivalent to giving an inner product in .