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Week 5Linear operators and the Sturm–Liouville theory
1. Complex differential operators
2. Properties of self-adjoint operators
3. Sturm-Liouville theory
4. Non-homogeneous boundary-value problems
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۞ A function f assigns to a number x another number, f(x):
).(xfx
1. Complex differential operators
۞ An operator Ĥ assigns to a function f(x) another function, Ĥf(x):
).(ˆ)( xfHxf
Different notations can be used:
)].([)]([ˆ)(ˆ)(ˆ xfxfHxHffHxfH H
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Example 1:
1. Multiplication of a function by a given function, say x2, is an operator:
).()(ˆ 2 xfxxfH
2. Differentiation of a function is an operator:
.d
dˆx
ffD
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Example 1 (continued):
3. The Fourier and Laplace transformations,
0
,de)()]([,de)()]([ ttftfxxfxf stikx LF
are integral operators.
Observe that the ‘resulting’ functions, F[f(x)] and L[f(t)], depend on k and s, whereas the ‘original’ functions depend
on x and t – i.e. integral operators change the function and its variable as well.
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۞ A linear operator is an operator such that
).(,ˆ)(ˆ xffHfH
1. All four operators in Example 1 are linear.
.d
dˆ,sinˆ,ˆ 22 fx
fxfQffPffH
,,ˆˆ)(ˆ212121 fffHfHffH (1)
Example 2:
2. The following operators are non-linear:
(2)
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۞ An operator of the form
,d
d)(ˆ
0
N
nn
n
n x
fxcfH
where the coefficients cn(x) are complex functions of a real
variable x, will be called a linear differential operator of order N.
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Comments:
The set of functions that are analytical (have infinitely
many derivatives) in a closed interval [a, b] (where the “closed” means “including the endpoints”) will be
denoted by C∞[a, b].
Unless specified otherwise, all operators considered below will satisfy the following property:
].,[ˆthen],,[if baCfHbaCf
This certainly holds for linear differential operators, but may not hold for integral operators (e.g. Laplace transformation) and some other types.
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We shall use the following inner product for complex functions,
.d)(*)(, b
a
xxgxfgf
Observe that g*(x) is ‘conjugated’ – hence,
.,, fggf
۞ Let S and S+ be subspaces of C∞ [a, b], and Ĥ and Ĥ+ be linear operators such that
.,*ˆ,ˆ, SgSffHggHf
Then Ĥ and Ĥ+ are said to be adjoint to each other, and so are S and S+.
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Example 3:
Let
,0)(],[)( afbaCxfS
Then
.d
dˆ,0)(],[)(x
DbgbaCxgS
To prove the above, consider
.0)(
,0)(
bgSg
afSf
.d
dˆx
D
(3)
“such that”
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Next, consider the l.-h.s. of the definition of adjoint operators,
b
aaxbx
b
a
xx
fggfgf
xx
gf
x
gfgHf
dd
d***
dd
*d
d
d,,
Then, taking into account (3), we obtain
,*
d
d,)(*00)(
d
d, f
xgagbfg
xf
as required.
D̂
D̂
.*
dd
*dsamesame
dd
d***
dd
*d
d
d,,
b
a
b
aaxbx
b
a
xx
fg
xx
fggfgf
xx
gf
x
gfgHf
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Example 4:
The proof is similar to the one in Example 3, but with two integration by parts instead of just one.
,0)()(],[)( bfafbaCxfS
Prove that
.,ˆˆ SSHH
Let
.d
dˆ2
2
xH
(4)
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۞ Let an operator Ĥ be defined in a space S, and Ĥ = Ĥ+, S = S+. Then Ĥ is said to be self-adjoint, or Hermitian in S.
Example 6:
Prove that the following operator:
,d
d)(
d
dˆx
xcx
H
where c(x) is a given real function, is self-adjoint in both spaces defined in Examples 4 and 5.
Example 5:
Prove that (4) is still valid if
.0)()(],[)( bfafbaCxfS
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۞ A linear integral operator is given by
,d)(),()(ˆ2
2
22212 b
a
xxfxxcxfH
where the kernel c(x1, x2) is a continuous complex function defined for
],,[],,[ 222111 baxbax
and f(x2) is a continuous function.
Observe that the ‘original’ function, f(x2), depends on x2,
while the ‘resulting’ one, Ĥf depends on x1 (which makes
integral operators different from differential operators).
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where x1 = k and x2 = x. The space in which this operator acts can be chosen as
Example 7:
The Fourier transform can be viewed as an integral operator with
,e),(,, 21
212121xixxxcbbaa
.as0],[)( xfCxfS
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A proof that one equals zero
Consider two equal non-zero numbers x and y, such that
x = y,hence,
x2 = x y,hence,
x2 − y2 = x y − y2.Divide by (x − y),
x + y = y.Since x = y, we see that
2 y = y.Thus, since y ≠ 0,
2 = 1, Subtract 1 from both sides,
1 = 0.