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Short note by Christer O. Kiselman, dated February 23, 1999, written for his students, with Esperanto and English abstracts. It defines vp(1/x) and the Hadamard finite part pf(1/x^2) and one-sided versions as distributions, estimates their order and translation-invariant bounds, and includes exercises. The last section treats the limits of 1/(x+is) as s tends to zero (Plemelj's formulas). It sits in Phil's Stakgold distribution folder.
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February 23, 1999
On some especially interesting distributions
Christer O. Kiselman
Contents :
1. Introduction
2. The principal value
3. Pseudofunctions
4. On Plemelj’s formulas
Resumo: Pri iuj aparte interesaj distribucioj
Por miaj kursanoj mi faros detalan pritrakton de distribucioj difinitaj per la pre-
cipa valoro kaj la finia parto de diverˆ gaj integraˆ joj. Krome mi studos ecojn pri
kontinuo de la distribucioj difinitaj per holomorfaj funkcioj.
Abstract: For my students I shall consider in detail distributions defined by the
principal value and the finite part of divergent integrals. I shall also consider
continuity properties of distributions defined by holomorphic functions.
1. Introduction
The purpose of this note is to discuss the notions of principal part of a divergent
integral, the finite part of a divergent integral, and, finally, the continuity propertiesof the distributions that appear in Plemelj’s formulas.
2. The principal value
Letfbe a continuous function on the real line, or more generally a locally integrable
function. The integral/integraldisplay
Rf(x)dx
is said to exist in the generalized sense if the limit
lim
a,b→+∞/integraldisplayb
−af(x)dx
exists. We say that the principal value of the integral exists if the limit exists when
we impose the condition b=a,t h u s
vp/integraldisplay
Rf(x)dx= lim
a→+∞/integraldisplaya
−af(x)dx.
Example 2.1. Iff(x)=( s i n x)/x, then its integral exists in the generalized sense,
although the function is not Lebesgue integrable. If f(x)=x/(1 +x2), then its
integral does not exist in the generalized sense, but the principal value exists (and is
zero).
2C . O . K i s e l m a n
We can replace the singularity at infinity by a singularity at any other point.
Letf∈L1
loc(R/integerdivide{0}). Suppose for simplicity that fhas compact support so that
there is no difficulty at infinity. Then we say that its integral exists in the generalized
sense if the limit
lim
a,b→0+/parenleftbigg/integraldisplay−a
−∞f(x)dx+/integraldisplay∞
bf(x)dx/parenrightbigg
exists. We say that the principal value exists if the limit exists when we restrict a
andbto satisfy a=b,t h u s
vp/integraldisplay
Rf(x)dx= lim
ε→0+/integraldisplay
|x|>εf(x)dx.
T h ei d e ai st h u st h a tw er e m o v ea symmetric neighborhood of a singular point and
then pass to the limit. Large negative and positive values of the function can balanceeach other.
Exercise 2.2. Prove that a function f∈L
1
loc(R/integerdivide{0}) such that its integral over
[−1,1] exists in the generalized sense defines a distribution of order at most 1.
Example 2.3. The principal values
vp/integraldisplay1
−1xmdx
exist whenever mis an odd integer; the value is of course zero.
Example 2.4. The principal values
vp/integraldisplay
Rϕ(x)
xdx
exists if ϕ∈D(R); more generally if f∈C1
0(R), for we can write
/integraldisplay
|x|>εϕ(x)
xdx=/integraldisplay∞
εϕ(x)−ϕ(−x)
xdx=/integraldisplay∞
εdx/integraldisplay1
−1ϕ/prime(tx)dt.
The existence of the limit is now obvious, and we can define a distribution vp(1/x)
by the formula
(2.1)/parenleftbigg
vp1
x/parenrightbigg
(ϕ)=/integraldisplay∞
0ϕ(x)−ϕ(−x)
xdx=/integraldisplay∞
0dx/integraldisplay1
−1ϕ/prime(tx)dt, ϕ ∈D(R).
From the last expression we can estimate the values as follows:
(2.2)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
vp1
x/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslant/integraldisplay
A
0dx2/bardblϕ/prime/bardbl∞=2A/bardblϕ/prime/bardbl∞,
ifAis so large that the support of ϕis contained in [ −A, A]. This shows that vp(1/x)
is a distribution of order at most 1. (Show that it is of order at least 1, i.e., that
Especially interesting distributions 3
it is not a measure!) However, the estimate (2.2) is not translation invariant. We
therefore subdivide the interval [0 ,+∞[ into two and use different estimates for each
part:
(2.3)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
vp1
x/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslant/integraldisplay
c
0/parenleftbigg/integraldisplay1
−1|ϕ/prime(tx)|dt/parenrightbigg
dx+/integraldisplay∞
c|ϕ(x)|+|ϕ(−x)|
xdx
/lessorequalslant2c/bardblϕ/prime/bardbl∞+c−1/bardblϕ/bardbl1,
which is a translation-invariant estimate. The translation invariance implies that we
can estimate also convolutions:
(2.4)/vextenddouble/vextenddouble/vextenddouble/vextenddouble/parenleftbigg
vp1
x/parenrightbigg
∗ϕ/vextenddouble/vextenddouble/vextenddouble/vextenddouble
∞/lessorequalslant2c/bardblϕ/prime/bardbl∞+c−1/bardblϕ/bardbl1.
The best choice of chere, by the way, is
c=/radicalBigg
/bardblϕ/bardbl1
2/bardblϕ/prime/bardbl∞,
which yields
(2.5)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
vp1
x/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslant2/radicalbig
2/bardblϕ/prime/bardbl∞/bardblϕ/bardbl1,ϕ∈D(R).
Exercise 2.5. How sharp is the estimate (2.5)? Prove that it can be improved to
/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
vp1
x/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslant2/radicalbig
/bardblϕ/prime/bardbl∞/bardblϕ/bardbl1,ϕ∈D(R).
Prove that, on the other hand, in any estimate
/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
vp1
x/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslantC/radicalbig
/bardblϕ/prime/bardbl∞/bardblϕ/bardbl1,ϕ∈D(R),
we must have C/greaterorequalslant2l o g2 >1.3862.
Exercise 2.6. Prove the estimate
/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
vp1
x/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslantC/bardblϕ/prime/bardbl1/3
∞/bardblϕ/bardbl2/3
2.
Exercise 2.7. Prove that xvp(1/x) = 1. The solutions to the equation xu=1a r e
u=vp(1/x)+Cδ,C∈C.
Example 2.8. Is it possible to define a distribution vp(1/x3)? No, for the balance
between negative and positive values in Example 2.3 for m=−3 is not sufficiently
stable to allow multiplication by a smooth function. This follows from the formula
/integraldisplay
|x|>εϕ(x)
x3dx=/integraldisplay∞
εϕ(x)−ϕ(−x)
x3dx,
4C . O . K i s e l m a n
where the limit does not exist if we take ϕsuch that ϕ(x)=xnear the origin. More
generally, we see that we can define vpfiffis an odd function which is locally
integrable in R/integerdivide{0}and such that for some α>−2,|f(x)|/lessorequalslantCxα,0<x< 1.
For such functions we can also change variables in the integral. In conclusion, odd
symmetry can kill singularities, but only the mild ones.
3. Pseudofunctions
The pseudofunction defined by 1 /x2is a distribution defined as follows:
/parenleftbigg
pf1
x2/parenrightbigg
(ϕ) = lim
ε→0/parenleftBigg/integraldisplay
|x|>εϕ(x)
x2dx−C
ε/parenrightBigg
,
where Cis the constant, if any, such that the limit exists. Of course the limit cannot
exist for more that one choice of C. The notation pfis chosen to make us think not
only of a pseudofunction but also of the finite part ( la partie finie ) of Hadamard. We
write
/integraldisplay
|x|>εϕ(x)
x2dx=/integraldisplayA
εϕ(x)+ϕ(−x)
x2dx
=/integraldisplayA
εϕ(x)−2ϕ(0) + ϕ(−x)
x2dx+2ϕ(0)/parenleftbigg1
ε−1
A/parenrightbigg
,
where Ais so large that [ −A, A] contains the support of the test function. Hence
C=2ϕ(0) is the only choice, and we define
(3.1)/parenleftbigg
pf1
x2/parenrightbigg
(ϕ)=/integraldisplayA
0ϕ(x)−2ϕ(0) + ϕ(−x)
x2dx−2ϕ(0)
A,ϕ∈D(R)
Note that the right-hand side is independent of Aas long as Ais large (calculate
the derivative of the right-hand side with respect to A). Since the integral of 1 /x2is
convergent at infinity, we can let Atend to infinity here, thus the definition can also
be written:
(3.2)/parenleftbigg
pf1
x2/parenrightbigg
(ϕ)=/integraldisplay∞
0ϕ(x)−2ϕ(0) + ϕ(−x)
x2dx, ϕ ∈D(R).
To estimate the integral we now write
(3.3)ϕ(x)−2ϕ(0) + ϕ(−x)
x2=/integraldisplay1
0sd s/integraldisplay1
−1ϕ/prime/prime(stx)dt,
which shows that the pseudofunction can be estimated as
/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
pf1
x2/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslant/integraldisplay
A
0/integraldisplay1
0sds/integraldisplay1
−1/bardblϕ/prime/prime/bardbl∞dt=A/bardblϕ/prime/prime/bardbl∞,
Especially interesting distributions 5
where Ais so large that the support of ϕis contained in [ −A, A]. This shows that
pf(1/x2) is a distribution of order at most two. (Show that the order is two!) Since
the estimate is not translation invariant, we shall modify it as in the case of the
principal value. We use the representation (3.2) only for x∈[0,c]:
/parenleftbigg
pf1
x2/parenrightbigg
(ϕ)=/integraldisplayc
0/integraldisplay1
0sd s/integraldisplay1
−1ϕ/prime/prime(stx)dt+/integraldisplay∞
cϕ(x)−2ϕ(0) + ϕ(−x)
x2dx,
which can be estimated as
/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
pf1
x2/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslantc/bardblϕ/prime/prime/bardbl∞+2c−1/bardblϕ/bardbl∞+c−2/bardblϕ/bardbl1,
or perhaps simpler as
/vextendsingle/vextendsingle/vextendsingle/vextendsingle/parenleftbigg
pf1
x2/parenrightbigg
(ϕ)/vextendsingle/vextendsingle/vextendsingle/vextendsingle/lessorequalslantc/bardblϕ/prime/prime/bardbl∞+4c−1/bardblϕ/bardbl∞;
both are translation-invariant estimates. What is the best choice of c?
Exercise 3.1. Prove that x2pf(1/x2) = 1. The solutions to x2u=1a r e u=
pf(1/x2)+C0δ+C1δ/prime.
In contrast to the principal value, we can consider pseudofunctions defined by
one-sided integrals. Thus the distribution pf(1/x+) is defined by
/parenleftbigg
pf1
x+/parenrightbigg
(ϕ) = lim
ε→0/parenleftbigg/integraldisplay∞
εϕ(x)
xdx+Clogε/parenrightbigg
,
where again Cis the only constant such that the limit exists. We can write
/integraldisplayA
εϕ(x)
xdx+Clogε=/integraldisplayA
εϕ(x)−C
xdx+ClogA,
which makes it obvious that the only choice is C=ϕ(0). Thus
/parenleftbigg
pf1
x+/parenrightbigg
(ϕ)=/integraldisplayA
0ϕ(x)−ϕ(0)
xdx+ϕ(0) log A, ϕ ∈D(R).
(Here we cannot let Atend to infinity.)
Similarly for pf(1/x2
+):
/parenleftbigg
pf1
x2
+/parenrightbigg
(ϕ) = lim
ε→0/parenleftBigg/integraldisplayA
εϕ(x)
x2dx−C0
ε+C1logε/parenrightBigg
.
Again only one choice of constants is possible, and we can write
/integraldisplayA
εϕ(x)
x2dx−C0
ε+C1logε=/integraldisplayA
εϕ(x)−C0−C1x
x2dx−C0
A+C1logA,
6C . O . K i s e l m a n
which shows that the constants must be C0=ϕ(0),C1=ϕ/prime(0), so that
/parenleftbigg
pf1
x2
+/parenrightbigg
(ϕ)=/integraldisplayA
0ϕ(x)−ϕ(0)−ϕ/prime(0)x
x2dx−ϕ(0)
A+ϕ/prime(0) log A, ϕ ∈D(R).
We can perhaps formulate a rule for these pseudofunctions as follows: we sub-
tract a part of the Taylor expansion of the function to make the integral convergent
at the singular point (the origin in our case), but then we must compensate by afunction of A, the upper limit of the integral, to make the whole expression indepen-
dent of A. This sounds sloppy, but if we add the information that the right-hand
side shall be zero for ϕ= 0, then it is actually uniquely determined.
4. On Plemelj’s formulas
Let us consider the distributions usdefined for real nonzero sby
(4.1) us(ϕ)=/integraldisplay
Rϕ(x)
x+isdx, ϕ ∈D(R).
Thus they are defined by smooth functions, but the interesting question is what
happens when the parameter stends to zero. We rewrite the definition as follows:
(4.2) us(ϕ)=/integraldisplay∞
0ϕ(x)−ϕ(−x)
x2+s2xdx−is/integraldisplay∞
0ϕ(x)+ϕ(−x)
x2+s2dx.
Now it is easy to see that usconverges to a distribution u0+asstends to zero while
being positive:
(4.3) u0+(ϕ)=/integraldisplay∞
0ϕ(x)−ϕ(−x)
xdx−iπϕ(0),ϕ∈D(R),
thus
(4.4) lim
s→0+us=u0+=vp/parenleftbigg1
x/parenrightbigg
−iπδ,
a relation known as Plemelj’s formula, or Sohockij–Plemelj’s formula. (Do the neces-
sary deliberations.) Note that the passage to the limit works for any function which
is of class C1in a neighborhood of the origin and such that xεϕ(x) is bounded for
some positive ε.
We can estimate the integrals defining usas follows, taking a number Aso large
that [ −A, A] contains the support of ϕ:
|us(ϕ)|/lessorequalslant2/bardblϕ/prime/bardbl∞/integraldisplayA
0x2
x2+s2dx+2/bardblϕ/bardbl∞/integraldisplayA
0s
x2+s2dx.
Here the first integral is not larger than A, the second not larger than π/2; thus
|us(ϕ)|/lessorequalslant2A/bardblϕ/prime/bardbl∞+π/bardblϕ/bardbl∞,ϕ∈D(R);
Especially interesting distributions 7
cf. (2.2). As we noted several times already, such estimates containing a number A
depending on the support of the test function are not translation invariant. Insteadwe write
(4.5)
|u
s(ϕ)|/lessorequalslant/integraldisplayc
0|ϕ(x)−ϕ(−x)|
xx2
x2+s2dx+/integraldisplay∞
c|ϕ(x)−ϕ(−x)|
xx2
x2+s2dx+π/bardblϕ/bardbl∞
/lessorequalslant2c/bardblϕ/prime/bardbl∞+c−1/bardblϕ/bardbl1+π/bardblϕ/bardbl∞.
This holds for all c>0a n da l l s∈R,t h ec a s e s= 0 including both u0+andu0−.
We can also estimate in terms of the Lp-norm for any p>1; in particular we get for
theL2-norm,
(4.6) |us(ϕ)|/lessorequalslant2c/bardblϕ/prime/bardbl∞+c−1/2/bardblϕ/bardbl2+π/bardblϕ/bardbl∞,ϕ ∈D(R),s∈R.
These estimates make it possible to let usact on more general functions than the
usual test functions in D(R). We formulate this result as a lemma.
Lemma 4.1. LetC1
/diamondmath(R)denote the space of all f∈C1(R)such that f∈L2∩L∞
andf/prime∈L∞.W ee q u i p C1
/diamondmath(R)with the norm
/bardblϕ/bardbl/diamondmath=/bardblϕ/bardbl2+π/bardblϕ/bardbl∞+2/bardblϕ/prime/bardbl∞.
Then the distributions us,s∈R/integerdivide{0},a n d u0+,u0−can be extended from D(R)to
C1
/diamondmath(R)as defined by (4.2) and (4.3) and they satisfy the estimate |us(ϕ)|/lessorequalslant/bardblϕ/bardbl/diamondmath,
ϕ∈C1
/diamondmath(R); equivalently
(4.7) /bardblus∗ϕ/bardbl∞/lessorequalslant/bardblϕ/bardbl/diamondmath,ϕ ∈C1
/diamondmath(R).
It can be seen easily that us∗ϕ,u0+∗ϕ,a n d u0−∗ϕall belong to C1
/diamondmath(R), and we
shall soon apply (4.7) to such more general functions.
Let us now look at the difference us−u0+:
(us−u0+)(ϕ)=−s2/integraldisplay∞
0ϕ(x)−ϕ(−x)
x(x2+s2)dx−is/integraldisplay∞
0ϕ(x)−2ϕ(0) + ϕ(−x)
x2+s2dx.
We can estimate these integrals by the methods already used in the proof of (4.5)
and get
(4.8) |(us−u0+)(ϕ)|/lessorequalslants/parenleftbig
4c−1/bardblϕ/bardbl∞+π/bardblϕ/prime/bardbl∞+c/bardblϕ/prime/prime/bardbl∞/parenrightbig
.
This gives a quantitative idea of how fast usconverges to u0+. We may extend the
validity of (4.8) to functions fsuch that ϕ, ϕ/prime∈C1
/diamondmath(R), or even a little farther:
Lemma 4.2. LetC2
∞(R2)denote the space of all functions ϕ∈C2(R)such that
ϕ, ϕ/prime,ϕ/prime/prime∈L∞with norm
/bardblϕ/bardbl2,∞=4/bardblϕ/bardbl∞+π/bardblϕ/prime/bardbl∞+/bardblϕ/prime/prime/bardbl∞.
8C . O . K i s e l m a n
Then us−u0+can be extended from D(R)toC2
∞(R)and satisfies
(4.9) /bardbl(us−u0+)∗ϕ/bardbl∞/lessorequalslants/bardblϕ/bardbl2,∞,ϕ ∈C2
∞(R).
We can also see that the derivative with respect to sexists:
us−u0+
s→πδ/prime−ipf/parenleftbigg1
x2/parenrightbigg
,s→0+.
One can prove, using the residue formula, that us∗ut=0i f st <0. (Do so!
We have a ring with zero divisors!) If we could pass to the limit in this equation we
would obtain u0+∗u0−= 0; hence, in view of Plemelj’s formula (4.4),
(4.10) vp/parenleftbigg1
x/parenrightbigg
∗vp/parenleftbigg1
x/parenrightbigg
=−π2δ.
What does the Titchmarsh support theorem say?
We shall now see that passage to the limit is legitimate. We state the result as
ap r o p o s i t i o n .
Proposition 4.3. Letu0+be defined by (4.3) and let u0−be its complex conjugate.
Then u0+∗u0−=0.
Proof. We write
(4.11) −u0+∗u0+=us∗ut−u0+∗u0−=us∗(ut−u0−)+(us−u0+)∗u0−.
To estimate the first term we use (4.9) with sreplaced by t,a n d ϕ∗usas a test
function:
/bardbl(ϕ∗us)∗(ut−u0−)/bardbl∞/lessorequalslant|t|/bardblϕ∗us/bardbl2,∞=|t|(4/bardblus∗ϕ/bardbl∞+π/bardblus∗ϕ/prime/bardbl∞+/bardblus∗ϕ/prime/prime/bardbl∞).
Here the right-hand side can be estimated using (4.7); it does not exceed
|t|(4/bardblϕ/bardbl/diamondmath+π/bardblϕ/prime/bardbl/diamondmath+/bardblϕ/prime/prime/bardbl/diamondmath),
which is independent of s.
To take care of the second term in (4.11) we shall use (4.9) with u0+∗ϕas a
test function:
/bardbl(us−u0+)∗(us∗ϕ)/bardbl∞/lessorequalslants/bardblu0+∗ϕ/bardbl2,∞/lessorequalslants(4/bardblϕ/bardbl/diamondmath+π/bardblϕ/prime/bardbl/diamondmath+/bardblϕ/prime/prime/bardbl/diamondmath).
These estimates for the two terms in (4.10) show that for s>0>t,w eh a v e
/bardbl(u0+∗u0−)∗ϕ/bardbl∞=/bardbl(us∗ut−u0+∗u0−)∗ϕ/bardbl∞/lessorequalslantCϕ(s+|t|),
where Cϕ=4/bardblϕ/bardbl/diamondmath+π/bardblϕ/prime/bardbl/diamondmath+/bardblϕ/prime/prime/bardbl/diamondmathis a constant depending on ϕ∈D(R). Thus
u0+∗u0−is zero.
Author’s address: Uppsala University, Department of Mathematics,
P. O. Box 480, SE-751 06 Uppsala, Sweden.
Telephone: +46 18 4713216 (office); +46 18 3007 08 (home)
Electronic mail: kiselman @ math.uu.se Fax:+46 18 4713201