Vector Spaces, Linear Independence
[22/41%]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:
;
, .