This example is set up in Times with Fourier. It uses: \usepackage
Q. The co-Poisson summation E. â². R. (g) is a square-integrable function (with respect to the Lebesgue measure). The L2(R) function E. â². R. (g) is equal to the.
This example is set up in Times with Fourier. It uses: \usepackage{fourier} \renewcommand{\rmdefault}{ptm} \usepackage[italic,noasterisk,defaultmathsizes]{mathastext} Typeset with mathastext 1.13 (2011/03/11).
To illustrate some Hilbert Space properties of the co-Poisson summation, we will assume K = Q. The components (aν ) of an adele a are written ap at finite places and ar at the real place. We have an embedding of the Schwartz space of test-functions on R into the Bruhat-Schwartz space on ∏ ′ A which sends ψ(x) to φ(a) = p 1|ap |p ≤1 (ap ) · ψ(ar ), and we write ER (g) for ′ the distribution on R thus obtained from E (g) on A. Theorem 1. Let g be a compact Bruhat-Schwartz function on the ideles of ′ Q. The co-Poisson summation ER (g) is a square-integrable function (with ′ respect to the Lebesgue measure). The L2 (R) function ER (g) is equal to the ∫ –1/2 ∗ constant – A× g(v)|v| d v in a neighborhood of the origin. ′ Proof. We may first, without changing anything to ER (g), replace g with its average under the action of the finite unit ideles, so that it may be assumed invariant. Any such compact invariant g is a finite linear combination of suitable multiplicative translates of functions of the type g(v) = ∏ p 1|vp |p =1 (vp ) · f (vr ) with f (t) a smooth compactly supported function on × R , so that we may assume that g has this form. We claim that:
∫
|φ(v)|
A×
p
∑ q∈Q×
|g(qv)| |v|d∗ v < ∞
∑
Indeed q∈Q× |g(qv)| = |f (|v|)| + |f (–|v|)| is bounded above by a multiple of ∫ |v|. And A× |φ(v)||v|3/2 d∗ v < ∞ for each Bruhat-Schwartz function on the ∏ adeles (basically, from p (1 – p–3/2 )–1 < ∞). So ′
E (g)(φ) = ′
E (g)(φ) =
∑ ∫
p
× q∈Q× A
∑ ∫
∫
φ(v)g(qv) |v|d v – p
× q∈Q× A
∗
∗
g(v)
p
A×
|v|
∫
φ(v/q)g(v) |v|d v – ∏
d v
g(v)
A×
p
∫
∗
|v|
A
φ(x)dx
∫
∗
d v A
φ(x)dx
Let us now specialize to φ(a) = p 1|ap |p ≤1 (ap ) · ψ(ar ). Each integral can be evaluated as an infinite product. The finite places contribute 0 or 1 according to whether q ∈ Q× satisfies |q|p < 1 or not. So only the inverse integers q = 1/n, n ∈ Z, contribute: ′
ER (g)(ψ) =
∑ ∫ n∈Z×
p
dt ψ(nt)f (t) |t| – × 2|t| R
∫
f (t) dt p × R |t| 2|t|
∫ R
ψ(x)dx
We can now revert the steps, but this time on R× and we get: ′ ER (g)(ψ) =
∫ R×
ψ(t)
∫ ∑ f (t/n) dt p – p
n∈Z×
|n| 2 |t|
R×
f (t) dt |t| 2|t|
p
∫ R
ψ(x)dx
√
Let us express this in terms of α(y) = (f (y) + f (–y))/2 |y|: ∫
′
ER (g)(ψ) =
R
ψ(y)
∑ α(y/n)
n
n≥1
∫
∞
α(y)
dy –
y
0
∫
dy R
ψ(x)dx
′ So the distribution ER (g) is in fact the even smooth function ′ (g)(y) = ER
∑ α(y/n) ∫
n
n≥1
∞
α(y)
–
y
0
dy
As α(y) has compact support in R \ {0}, the summation over n ≥ 1 contains ′ only vanishing terms for |y| small enough. So ER (g) is equal to the constant p ∗ ∫ ∞ α(y) ∫ f (y) dy ∫ – 0 y dy = – R× p 2|y| = – A× g(t)/ |t|d t in a neighborhood of 0. To |y|
prove that it is L2 , let β(y) be the smooth compactly supported function α(1/y)/2|y| of y ∈ R (β(0) = 0). Then (y ̸= 0): ∑ 1
n ER (g)(y) = β( ) – y n∈Z |y| ′
∫
R
β(y)dy
From the usual Poisson summation formula, this is also: ∑ ∫
∫
γ(ny) –
n∈Z
R
β(y)dy =
∑ n̸=0
γ(ny)
where γ(y) = R exp(i2πyw)β(w)dw is a Schwartz rapidly decreasing func′ tion. From this formula we deduce easily that ER (g)(y) is itself in the Schwartz class of rapidly decreasing functions, and in particular it is is square-integrable. It is useful to recapitulate some of the results arising in this proof: Theorem 2. Let g be a compact Bruhat-Schwartz function on the ideles ′ of Q. The co-Poisson summation ER (g) is an even function on R in the Schwartz class of rapidly decreasing functions. It is constant, as well as its Fourier Transform, in a neighborhood of the origin. It may be written as ′
ER (g)(y) =
∑ α(y/n) ∫
n≥1
n
∞
–
0
α(y)
y
dy
with a function α(y) smooth with compact support away from the origin, and conversely each such formula corresponds to the co-Poisson summa′ tion ER (g) of a compact ∫ ′ Bruhat-Schwartz function on the ideles of Q. The (g)(y)exp(i2πwy)dy corresponds in the formula Fourier transform R ER above to the replacement α(y) 7→ α(1/y)/|y|. Everything has been obtained previously.
Mar 11, 2011 - dt. 2|t|. â«. R Ï(x)dx. We can now revert the steps, but this time on R. à ... α(y/n) n dyâ. â« â. 0 α(y) y dy. â«. R Ï(x)dx. So the distribution E. â². R.
average under the action of the finite unit ideles, so that it may be assumed invariant. ... g has this form. ... Let us express this in terms of α(y) = (f(y) + f(ây))/2. â.
(g) on A. Theorem 1. Let g be a compact Bruhat-Schwartz function on the ideles of Q. The co-Poisson summation E. â². R. (g) is a square-integrable function.
tribution on R thus obtained from Eâ²(g) on A. Theorem 1. Let g be a compact Bruhat-Schwartz function on the ideles of Q. The co-Poisson summation Eâ².
Oct 13, 2012 - This example is set up in ECF Tall Paul (with Symbol font). It uses: ... \let\infty\inftypsy. Typeset ... with f(t) a smooth compactly supported function on R. à ... 2|t|. â«. R Ï(x)dx. Let us express this in terms of α(y) = (f(y)
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Oct 13, 2012 - LetW(k)be the Vandermonde matrix with rows(1...1), (k1 ...kn), (k2. 1 ... and let C be the n à n matrix (cim)1â¤i,mâ¤n, where the cim's are defined.
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Typeset with mathastext 1.15d (2012/10/13). (compiled with X. E .... and let C be the n à n matrix (cim)1â¤i,mâ¤n, where the cim's are defined by the partial ...
Oct 13, 2012 - (kn))W(k)â1W(l)diag(K(l1)â1,...,K(ln)â1). (10). We can thus rewrite the determinant we want to compute as: â£â£â£â£â£â£uiyj â vixj lj â ki.
Oct 5, 2012 - To illustrate some Hilbert Space properties of the co-. Poisson summation, we will assume K = Q. The components. (aν) of an adele a are ...
Oct 13, 2012 - Similarly: Xn =.... x1 x2 ... xn l1y1 l2y2 ... lnyn l 2. 1 x1 l 2 ... t â km. (8). We have the two matrix equations: C = W ( k ) diag( K. â². (k1).
Oct 13, 2012 - This example is set up in GNU FreeFont Serif for the text, GNU FreeFont ... Mapping=tex-text, .... The finite places contribute 0 or 1 according.
Mar 11, 2011 - dt. 2|t|. â«. R Ï(x)dx. We can now revert the steps, but this time on R. à ... α(y/n) n dyâ. â« â. 0 α(y) y dy. â«. R Ï(x)dx. So the distribution E. â². R.
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