Section 4.1
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Transcript of Section 4.1
Section 4.1
Initial-Value and Boundary-Value Problems
Linear Dependence and Linear Independence
Solutions of Linear Equations
INITIAL-VALUE PROBLEM
For the nth-order differential equation, the problem
,)(,,)(,)(:
)()()()()(:
)1(00
)1(0000
011
1
1
nn
n
n
nn
n
n
yxyyxyyxytoSubject
xgyxadx
dyxa
dx
ydxa
dx
ydxaSolve
where y0, y′0, etc. are arbitrary constants, is called an initial-value problem.
EXISTENCE OF A UNIQUE SOLUTION
Theorem: Let an(x), an−1(x), . . . , a1(x), a0(x), and g(x) be continuous on an interval and let an(x) ≠ 0 for every x in the interval. If x = x0 is any point in this interval, then a solution y(x) of the initial-value problem exists on the interval and is unique.
BOUNDARY-VALUE PROBLEM
A problem such as
,)(,)(:
)()()()(:
10
012
2
2
ybyyaytoSubject
xgyxadx
dyxa
dx
ydxaSolve
is called a boundary-value problem (BVP). The specified values y(a) = y0 and y(b) = y1 are called boundary conditions.
LINEAR DEPENDENCE AND LINEAR INDEPENDENCE
Definition: A set of functions f1(x), f2(x), . . . , fn(x) is said to be linearly dependent on an interval I if there exists constants c1, c2, . . . , cn, not all zero, such that
for every x in the interval.
Definition: A set of functions f1(x), f2(x), . . . , fn(x) is said to be linearly independent on an interval I if it is not linearly dependent on the interval.
0)()()( 2211 xfcxfcxfc nn
THE WRONSKIANTheorem: Suppose f1(x), f2(x), . . . , fn(x) possess at least n − 1 derivatives. If the determinant
is not zero for at least one point in the interval I, then the set of functions f1(x), f2(x), . . . , fn(x) is linearly independent on the interval.
NOTE: The determinant above is called the Wronskian of the function and is denoted by W(f1(x), f2(x), . . . , fn(x)).
)1()1(2
)1(1
21
21
nn
nn
n
n
fff
fff
fff
COROLLARYCorollary: If f1(x), f2(x), . . . , fn(x) possess at least n − 1 derivatives and are linearly dependent on I, then
W(f1(x), f2(x), . . . , fn(x)) = 0
for every x in the interval.
An linear nth-order differential equation of the form
is said to be homogeneous, whereas
g(x) not identically zero, is said to be nonhomogeneous.
HOMOGENEOUS LINEAR EQUATIONS
0)()()()( 011
1
1
yxadx
dyxa
dx
ydxa
dx
ydxa
n
n
nn
n
n
)()()()()( 011
1
1 xgyxadx
dyxa
dx
ydxa
dx
ydxa
n
n
nn
n
n
SUPERPOSITION PRINCIPLE – HOMOGENEOUS EQUATIONS
Theorem: Let y1, y2, . . . , yk be solutions of the homogeneous linear nth-order differential equation on an interval I. Then the linear combination
where the ci, i = 1, 2, . . . , k are arbitrary constants, is also a solution on the interval.
)()()( 2211 xycxycxycy kk
TWO COROLLARIES
Corollary 1: A constant multiple y = c1y1(x) of a solution y1(x) of a homogeneous linear differential equation is also a solution.
Corollary 2: A homogeneous linear differential equation always possesses the trivial solution y = 0.
CRITERION FOR LINEARLY INDEPENDENT SOLUTIONS
Theorem: Let y1, y2, . . . , yn be n solutions of the homogeneous linear nth-order differential equation on an interval I. Then the set of solutions is linearly independent on I if and only if
W(y1, y2, . . . , yn) ≠ 0
for every x in the interval.
FUNDAMENTAL SET OF SOLUTIONS
Definition: Any linearly independent sety1, y2, . . . , yn of n solutions of the homogeneous nth-order differential equation on an interval I is said to be a fundamental set of solutions on the interval.
EXISTENCE OF CONSTANTS
Theorem: Let y1, y2, . . . , yn be a fundamental set of solutions of the homogeneous linear nth-order differential equation on an interval I. Then for any solution Y(x) of the equation on I, constants C1, C2, . . . , Cn can be found so that
).()()( 2211 xyCxyCxyCY nn
EXISTENCE OF A FUNDAMENTAL SET
Theorem: There exists a fundamental set of solutions for the homogeneous linear nth-order differential equation on an interval I.
GENERAL SOLUTION – HOMOGENEOUS EQUATIONS
Definition: Let y1, y2, . . . , yn be a fundamental set of solutions of the homogeneous linear nth-order differential equation on an interval I. The general solution (or complete solution) of the equation on the interval is defined to be
where ci, i = 1, 2, . . . , n are arbitrary constants.
),()()( 2211 xycxycxycy nn
HOMEWORK
1–43 odd