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We will show that if y y (x ) and y y (x ) is
1 1 2 2
decisions of equation (4.3), a function
y (x ) C y (x ) C y (x ) also will be decision of this
1 1 2 2
equation at any values С and С . Indeed, as y and y -
1 2 1 2
decisions (4.3)
y a y a y 0 and y a y a y 0 .
1 1 1 2 1 2 1 2 2 2
Taking into account these to equality, we will get
(C y C y ) a ( C y C y ) a ( C y C y )
1 1 2 2 1 1 1 2 2 2 1 1 2 2
C y C y a ( C y C y ) a ( C y C y )
1 1 2 2 1 1 1 2 2 2 1 1 2 2
C (y ya a y ) C (y ya a y ) C 0C 0 0
1 1 1 1 2 1 2 2 1 2 2 2 1 2
And it means that a function (xy ) C y (x ) C y (x )
1 1 2 2
is a decisions of equation (4.3), that and it was needed to lead to.
Consequently, if y , y ,..... y - decisions of equation (4.2),
1 2 n
a function, y( x ) C 1 y 1 ( x ) C 2 y 2 ( x .....) С n y n where
C , C ,..... С – arbitrary constant, also is a decision of equation
1 2 n
(4.2).
4.2. Linear Dependence and Linear Independence of
Systems of Functions
Definition 4.3 Linear function y y , , y is named
,
1 2 n
combination of functions
Y C y C y (4.5)
1 1 n n
it is formed from the set functions by linear operations, that is
operations of increase on a number and addition.
,
Definition 4.4 System of functions y y , , y certain on
1 2 n
,a b is named linearly dependent on this interval, if it is
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