Basic Concepts of Linear Algebra
[105/60%]Prove that for any vector the equalities hold.
In which of the following cases are the indicated operations on the set well-defined and do they endow it with the structure of a linear space over the field :
is the half-plane , the operations of addition and multiplication by scalars are standard (i.e., coordinatewise);
is the set of vectors in the plane issuing from the origin whose endpoints lie on a given line; the operations are standard;
is the set of vectors in the plane issuing from the origin whose endpoints lie on a given line; the operations of addition « » and multiplication by scalars « » are given by the formulas
where is a fixed vector;
is the set of plane vectors lying in the first and third coordinate quadrants ; the operations are standard;
is all vectors of space except vectors parallel to some fixed line; the operations are standard;
; the operations are standard;
; the operations are standard;
; the operations of addition « » and multiplication by scalars « » are given by the formulas
; the operations are the same as in the previous item;
; the operations are given as follows:
is arbitrary, is the set of polynomials over of degree exactly ; the operations are standard;
is arbitrary, is the set of polynomials over of degree at most ;
is the set of monotonic functions on a segment; the operations are standard;
is the set of all infinite arithmetic progressions with the standard operations;
is the set of all infinite geometric progressions with the standard operations?
Can the structure of a linear space be defined:
on a set consisting of two elements;
on the abelian group of integers;
on the line with the following operation of multiplication by scalars:
on the line with the operation of multiplication by scalars ?
Prove that in a linearly independent system of vectors, every subsystem is also linearly independent.
Let the system of vectors be linearly independent, and let the system be linearly dependent. Prove that the vector is linearly expressed in terms of the others, and that this expression is unique.
Let the vector be linearly expressed in two different ways in terms of the vectors . Prove that the system is linearly dependent.
Let be a linearly independent system of vectors. Will the following systems of vectors be linearly dependent:
;
;
?
If every vector of the system of vectors is a linear combination of the vectors , one says that the system is linearly expressed in terms of the system . Prove the transitivity of this notion: if the system of vectors is linearly expressed in terms of the system , and the system is linearly expressed in terms of the system , then the system of vectors is linearly expressed in terms of the system .
Prove that if is considered as a linear space over , then the vectors 1 and from are linearly independent if and only if is irrational.
Under the conditions of the previous problem, prove that for any the vectors are linearly independent if and only if is a transcendental number.
Problem 1001: is considered as a linear space over , .
What conditions must the scalar satisfy for the vectors and from to be linearly dependent? What is the answer to the same question if is replaced by ?
Prove the linear independence of all geometric progressions starting with one, in the vector space of infinite sequences.
Investigate the linear dependence of the following systems of functions :
1, (for each the numbers and do not vanish simultaneously);
;
, where ;
;
, where all the numbers are distinct;
, where all the numbers are distinct.
Prove that in the space of polynomials, every finite system consisting of polynomials of distinct degrees and not containing zero is linearly independent.
What conditions must the scalars satisfy for the vectors and to be linearly dependent? Generalize this problem to the case of arbitrary dimension.
Prove that in every system of vectors of the space containing at least one nonzero vector, one can choose a linearly independent subsystem such that the linear spans and coincide. Every such subsystem is called a base of the given system .
Prove that all bases of a system of vectors consist of the same number of vectors. This number is called the rank of the system.
Prove that in the space :
any nonzero vector of a given system can be included in a base of this system;
any linearly independent subsystem can be extended to a base of this system.
Prove that if two systems of vectors have the same rank and one of these systems is linearly expressed in terms of the other, then the linear spans of these systems coincide.
Find the rank of the system of vectors:
, , ;
, .
For each of the following systems of vectors, find some base:
,
,
,
;
,
,
, .
Find all bases of the following systems of vectors:
;
, .
Find the coordinates of the vector of the space in the basis:
;
.
In each of the following cases, verify that the vectors form a basis of the space , and find the coordinates of the vector in this basis:
;
, ;
,
Prove that the polynomials form a basis of the space of polynomials of degree at most with real coefficients. Find the coordinates of the polynomial in this basis.
Prove that the polynomials form a basis of the space of odd polynomials of degree at most 5. Find the coordinates of the polynomial in this basis.
Prove that the matrices
form a basis of the space of real matrices of order 2, and find the coordinates of the matrix
Prove that the matrices
form a basis of the space of real symmetric matrices of order 3, and find the coordinates of the matrix
Find the coordinates of the polynomial in the basis:
;
.
Prove that the set of matrices with entries from forms a linear space over with respect to the standard operations. Find its dimension and some basis.
Find the dimension and basis of the space of matrices of order :
with zero last row;
with zero diagonal;
diagonal matrices;
upper triangular matrices;
symmetric matrices;
skew-symmetric matrices.
Find the dimension and basis of the space of homogeneous polynomials in four variables of degree:
;
;
;
.
Find the dimension of the space of homogeneous polynomials of degree in variables.
Prove that the sequences
form a basis of the space of sequences with the property , and expand the sequence in this basis.
Find the transition matrix from the basis
in to the basis
In the space of polynomials of degree at most three, find the transition matrix from the basis to the basis , .
Find the transition matrix from the basis of the space of polynomials of degree at most to the basis .
Find the transition matrix from the basis , of the space of trigonometric polynomials of degree at most to the basis , . Find its inverse matrix.
Let be the transition matrix from the first basis to the second, and let be the transition matrix from the second basis to the third. Find the transition matrix from the first basis to the third.
How will the transition matrix from the first basis to the second change if:
the -th and -th vectors of the first basis are interchanged;
the -th and -th vectors of the second basis are interchanged;
the vectors of both bases are written in reverse order;
the -th vector is added to the -th vector of the first basis;
the -th vector is added to the -th vector of the second basis;
the -th vector of the first basis is multiplied by the number ;
the -th vector of the second basis is multiplied by the number ?
Is the subset formed by all of the following a linear subspace of the space of matrices of order :
matrices with zero last row;
matrices with zero diagonal;
diagonal matrices;
upper triangular matrices;
symmetric matrices;
skew-symmetric matrices;
singular matrices;
nonsingular matrices?
Find some basis and the dimension of the subspace , which is defined by the condition .
In the linear space of polynomials of degree at most over the field , consider the subset consisting of those polynomials for which:
;
;
when ;
In which cases is a linear subspace of ? Compute its dimension and find some basis.
;
.
Prove that the intersection of an arbitrary family of linear subspaces of a vector space is also a linear subspace of . Is the same true for the union?
Prove that the linear span of the union of two linear subspaces of the same vector space coincides with the sum of these subspaces:
Given a linear space and some subset of it. Prove that the linear span coincides with the intersection of all linear subspaces containing .
(Direct sum of several subspaces). The sum of the subspaces of a vector space is called the linear span of their union:
These subspaces are said to form a direct sum (denoted ) if every vector is represented in the form
in a unique way. Prove that this condition is equivalent to each of the conditions below:
for ;
for .
Let be subspaces of a linear space .
Show that the equality does not always hold.
Prove that .
It is known that every two of the three given subspaces , and of a linear space form a direct sum. Does it follow that all three subspaces form a direct sum?
Can a nontrivial (i.e., nonzero and different from the whole space) subspace of a linear space have a unique complementary subspace?
Let be a linear subspace of a finite-dimensional linear space , and let be some complementary subspace of it. Prove the equality .
Let and be finite-dimensional linear subspaces of a linear space . Prove the equality
Let a finite-dimensional space be the sum of its subspaces and . Prove that every subspace complementary to in is the direct sum of some subspaces complementary to in and in respectively.
Prove that the space of polynomials with real coefficients decomposes as the direct sum of the subspace of even polynomials and the subspace of odd polynomials. Is this statement true for polynomials over an arbitrary field?
Find the dimension and basis of the linear span of the system of vectors:
;
;
;
(1, 2, 1, 3), (1, 1, 1, 3), (1, 0, 1, 3).
Find the dimension and basis of the vector space of solutions of the system of homogeneous linear equations:
;
;
.
Find a system of linear equations defining the linear span of the system of vectors:
;
;
;
;
;
;
;
.
Does the number belong to the linear span of the numbers and over the field of rational numbers?
In the linear space of polynomials of degree at most 8, two subspaces are given
respectively. Find bases for the sum and intersection of these subspaces.
In the space of matrices of order , the subspace of symmetric matrices and the subspace of strictly upper triangular matrices are given. Prove that . Find the projection of an arbitrary matrix onto each of these subspaces along the other subspace.
In the space of matrices , the subspace of symmetric matrices and the subspace of matrices whose last rows are zero are given. Find the dimensions and bases of the sum and intersection of these subspaces.
Find the dimensions and bases of the sum and intersection of the subspaces and :
,
,
, ,
,
;
,
,
;
, ,
, ,
,
,
,
,
, .
Which of the following maps of the space into itself are linear:
;
;
;
;
;
;
?
Consider the linear space of all convergent numerical sequences . Which of the functions , and are linear?
In the linear space of real matrices of order , consider the trace and determinant functions. Are they linear?
Prove that for any nonzero linear function on a finite-dimensional linear space there exists a basis in which the function has the form , where is the first coordinate of the vector in this basis.
Prove that the map inverse to a linear isomorphism is also a linear isomorphism. Deduce from this that the relation of being isomorphic is an equivalence relation.
Prove that the linear functions on an arbitrary vector space also form a linear space (which is denoted by and is called the conjugate or dual space to the space ). Prove that for any finite-dimensional space there is a natural isomorphism between the spaces and .
Let be a linear space with basis . Prove the existence and uniqueness of linear functions on such that (the Kronecker symbol). Verify that such a set forms a basis of the space of linear functions on the space (such a basis is called the dual or conjugate basis to the basis ). How is it related to the coordinates in the basis ?
Let be a basis of the space . Prove that every linear function on has the form , where are the coordinates of the vector in the basis . What coordinates does the function have in the dual basis of the space ?
Let be a nonzero linear function on a linear space (not necessarily finite-dimensional). Prove that the kernel of the function , i.e., the set of all vectors for which , is a maximal nontrivial linear subspace of , i.e., it is not contained in any subspace of the space other than itself and .
Prove that the space is one-dimensional.
Prove that linear functions on an -dimensional linear space are linearly independent if and only if the intersection of their kernels is an -dimensional subspace.
Prove that if the kernels of two linear functions and on a linear space (not necessarily finite-dimensional) coincide, then there exists a nonzero number such that for every .
Prove that to every linear map А: there naturally corresponds a linear map .
Let and be bases of the spaces and respectively, and let and be the dual bases to them in and . How are the matrices and of the linear maps and respectively related in these bases?
The annihilator of a subset of a vector space is the set of all linear functions vanishing on . Show that is a linear subspace of the space of linear functions, and that if is finite-dimensional, then .
Prove that, if and are subspaces of some finite-dimensional vector space, then the equality is equivalent to the coincidence of the subspaces and . Verify the relations and .
Let be a linear subspace of some finite-dimensional vector space. Prove that .
Let be a subspace of a vector space complementary to a subspace . Prove that is isomorphic to the quotient space .
Prove that for any linear subspace of a space there is an isomorphism between the spaces and .
Show that the set of all semilinear functions on a finite-dimensional space over the field has the structure of a linear space over of dimension . Show also that a function is semilinear if and only if the function , given by the formula , is linear.
Let be a basis of a complex linear space , and let be the dual basis. Show that the functions form a basis of the space of semilinear functions. Let be the transition matrix to a new basis in the space . Find the transition matrix from the basis to the new dual basis .
In the space of polynomials of degree at most , consider the linear functions , given by the formula
Prove that these functions form a basis of the space of linear functions on .
In the space of polynomials of degree at most , consider the linear functions , given by the formula . Prove that these functions form a basis of the space of linear functions on . Find the dual basis in the space .
In the space of polynomials of degree at most , consider the linear functions , given by the formula , where , and are distinct points of the number line. Prove that these functions form a basis of the space of linear functions on . Find the dual basis in the space .
Prove that the vector space of linear functions on the space of all polynomials is not isomorphic to the space .
In the space of complex square matrices of order , consider the linear functions , given by the formula , where ,
Prove that these functions form a basis of the space of linear functions on . Find the dual basis in the space .
The linear map is given by the matrix
In the domain, a new basis , is chosen. Find the matrix of the map А in this basis.
Find the matrix of the map from the previous problem, if in the codomain a new basis is chosen: , and the basis in is left unchanged.
Prove that for any point of an affine space the equality holds.
Prove that a linear space becomes an affine space if the points are taken to be the vectors , and the map is defined by .
Determine whether is an affine subspace of the affine space , and, if it is, find the linear subspace associated with , in each of the cases listed below:
is an arbitrary affine space, and is a finite set of points of ;
is the plane , and is the half-plane ;
is the plane , and is an arbitrary line in this plane;
is the space of all polynomials in one variable, and is the subset of polynomials satisfying the condition ;
is the space of all polynomials in one variable, and is the subset of polynomials satisfying the condition .
Prove that if a line has two common points with an affine subspace, then it is entirely contained in it.
Prove that a system of points is affinely independent if and only if, for an arbitrary point , the equalities
hold if and only if all are equal to zero.
Prove that in a -dimensional plane, any system of points is affinely dependent.
Prove that the set of solutions of any consistent system of inhomogeneous linear equations forms an affine subspace.
Find the parametric equations of the plane
Find the parametric equations of the two-dimensional plane passing through the three points: , . Find a system of equations defining this plane.
Find the parametric equations, and also find a system of linear equations, that define the affine span of the union:
of the line and the plane
of two planes
and
Prove that two planes and coincide if and only if and .
Prove that in the space of polynomials of degree at most , the subset , for fixed , is an affine subspace, and find its dimension.
Prove that two planes and intersect if and only if ; in this case the intersection is the plane for some point .
Prove that any two lines in an affine space are contained in a single three-dimensional plane. What can the relative position of two lines in an -dimensional affine space be, for ?
Prove that any two two-dimensional planes in an affine space are contained in a single five-dimensional plane. What can the relative position of two two-dimensional planes in an -dimensional affine space be, for ?
In an affine space, two planes are given: and , where and , and each of the systems of vectors and is linearly independent. Using the ranks and of the systems of vectors and , express the necessary and sufficient conditions for the given planes to:
be skew, along a point;
intersect at a single point;
be skew, along a line;
intersect along a line;
be skew, along a two-dimensional plane;
intersect along a two-dimensional plane;
be parallel;
coincide.
Determine the relative position of the planes and :
, ;
,
,