TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS OF FUNCTIONS IN THE POTENTIAL SPACE WITH THE ORLICZ NORM

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS OF FUNCTIONS IN THE POTENTIAL SPACE WITH THE ORLICZ NORM"

Transcript

1 Scieniae Mahemaicae Japonicae Online, Vol. 9, (23), TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS OF FUNCTIONS IN THE POTENTIAL SPACE WITH THE ORLICZ NORM EIICHI NAKAI AND SHIGEO OKAMOTO Received Februar 4, 23; revised June 27, 23 Absrac. Nagel, Rudin and Shapiro (982) invesigaed he angenial boundar behavior of he Poisson inegrals of funcions in he poenial space L p K (Rn )=K F : F L p (R n )} wih a kernel K : R n \} [, + ) which is posiive, inegrable, radial and decreasing. In his paper, we exend he resul o L Φ K (Rn )=K F : F L Φ (R n )}, where L Φ (R n ) is he Orlicz space. Moreover we inroduce Ω R -limi for a coninuous increasing funcion R :[, + ) [, + ) wihr() as. The angenial approach region is defined b he funcion R. We give a relaion beween R() forwhich all funcions in L Φ K (Rn )haveheω R -limi and he L eφ -norm of P K, whereφishe e complemenar funcion of Φ, and calculae R() precisel.. Inroducion I is well known ha, for f L p (R n ), is Poisson inegral u(x, ) =P f(x), x R n, >, converges nonangeniall o f(x) a.e. when ends o. I is also well known ha, for general f L p (R n ), convergence fails when he approach regions have a cerain degree of angeniali. The angenial boundar behavior of he Poisson inegrals of funcions in subspaces of L p (R n ) was sudied b Nagel, Rudin and Shapiro [4], Nagel and Sein [5], Dorronsoro [], ec. Nagel, Rudin and Shapiro [4] invesigaed he poenial space L p K (Rn )=K F : F L p (R n )} wih a kernel K : R n \} [, + ) which is posiive, inegrable, radial and decreasing. We noe ha L p K (Rn ) is a subspace of L p (R n ). The [4] gave he relaion beween he geomeric properies of approach regions on which he angenial limi of P f exiss for all f L p K and he -norm of P Lp K wih K/ L p, where /p +/p =. In his paper, we exend he resul in [4] o L Φ K (Rn )=K F : F L Φ (R n )}, where L Φ (R n ) is he Orlicz space, and give he relaion beween he geomeric properies of approach regions and he L eφ -norm of P K wih K / L eφ, where is he complemenar funcion of Φ. However, he L eφ -norm of P K is no simple. So we inroduce Ω R -limi for a coninuous increasing funcion R :[, + ) [, + ) wih R() as (see Definiion 3.2). The angenial approach region is defined b he funcion R. We give a relaion beween R() for which he Poisson inegrals of all funcions in L Φ K (Rn )havehe Ω R -limi and he L eφ -norm of P K, and calculae R() precisel for kernels K of he form K(x) =K ρ (x) = ρ( x ) x n, 2 Mahemaics Subjec Classificaion. Primar 3B25, Secondar 46E3. Ke words and phrases. angenial limi, Poisson inegral, poenial, Orlicz space.

2 88 EIICHI NAKAI AND SHIGEO OKAMOTO where he funcion ρ :(, + ) (, + ) saisfies ha ρ(r)/r n is decreasing and + ρ(r) dr < +. r If K L eφ (R n ), hen K F is coninuous for ever F L Φ (R n ). In his case, he angenial limi of he Poisson inegral of f L Φ K exiss riviall. So we are ineresed in he case K/ L eφ (R n ). The Bessel kernel J α,<α<n, is he funcion on R n whose Fourier ransform is Ĵ α (ξ) =(+ ξ 2 ) α/2, ξ R n. Then J α (x) K ρ (x) for small x wih ρ(r) =r α for small r>. This case was sudied in [4] and [5]. If ρ(r) =r α for small r>wih < α < n/p, hen he Hard-Lilewood-Sobolev heorem shows ha L p K ρ (R n ) L p (R n ) L q (R n ), where n/p + α = n/q. In his case he Poisson inegrals of all funcions f L p K ρ have he Ω R -limi wih R() = αp/n. As α is bigger, he Ω R -limi ges more angenial. If α = n/p, hen L p K ρ (R n ) L p (R n ) BMO(R n ). In his case R() = (log(/)) (p )/n (see Theorem 3.7 and Example 3.). We noe ha here is a larger class of funcions han L p J α (R n ) such ha all funcions in he class have he Ω R -limi wih he above R. (see Dorronsoro []). If α > n/p, hen L p K ρ (R n ) L p (R n ) Lip β (R n ), where β = p/n + α. In his case, he angenial limi of he Poisson inegral of f L p K ρ exiss riviall. One of he auhors [7, 8, 9] showed ha, if hen Φ ( r n ) r ρ() d CΨ ( r n ) L Φ K ρ (R n ) L Φ (R n ) L Ψ (R n ). If φ :(, + ) (, + ) is increasing and ( ) r Φ ρ() r n d Cφ(r) for r>, hen for L Φ K ρ (R n ) L Φ (R n ) BMO φ (R n ). r>, If φ, hen BMO φ is he usual BMO. In hese cases, see Theorem 3.8, Remark 3.4 and Example 3.2. Le Φ 2. Then, for all funcions F such ha Φ(k F (x) ) is inegrable for all k>, he Poisson inegrals of f = K ρ F have he Ω R -limi wih a leas R() =/ ( (ρ(r)/r) dr) /n, for ever kernel K ρ (see Theorem 3.9). Noaions and definiions of funcion spaces are in he nex secion. We sae main resuls and examples in Secion 3 and proofs of main resuls in Secions 4 6. The auhors would like o hank he referee for his man commens.

3 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS Noaions and definiions In his secion we sae some noaions and definiions. We also sae properies of he N-funcion and he Orlicz space. 2.. R n is he n-dimensional Euclidean space, wih norm x = x 2 i, x =(x,..., x n ) and R n+ + = (x, ) :x R n, >}. Le B(a, r) be he ball x R n : x a <r} wih cener a and of radius r>. We denoe he measure of a measurable se E R n b E. Leσ n = B(, ). Then B(,r) = σ n r n A funcion Φ : [, + ) [, + ) is called an N-funcion if Φ is coninuous, convex, sricl increasing, lim r + Φ(r)/r = and lim r + Φ(r)/r =+. For an N-funcion Φ, he complemenar funcion is defined b (r) =suprs Φ(s) :s }, r. Then is also an N-funcion, = Φ, and, (2.) r Φ (r) (r) 2r A funcion Φ : [, + ) [, + ) is said o saisf he 2 -condiion, denoed Φ 2, if Φ(2r) CΦ(r), r, for some C >. This condiion is also called he doubling condiion. A funcion Φ : [, + ) [, + ) is said o saisf he 2 -condiion, denoed Φ 2,if Φ(r) Φ(kr), r, 2k for some k>. Le Φ is an N-funcion. Then Φ 2 if and onl if For an N-funcion Φ, le } L Φ (R n )= f L loc(r n ): Φ(ɛ f(x) ) dx < + for some ɛ>, R n } M Φ (R n )= f L loc(r n ): Φ(k f(x) ) dx < + for all k>, R ( n ) } f(x) f Φ =inf λ>: Φ dx. R λ n Then L Φ (R n ) is a Banach space wih he norm L Φ. M Φ (R n ) is a closed subspace of L Φ (R n ). If and onl if Φ 2, hen L Φ (R n )=M Φ (R n ). Le C comp (R n ) be he se of all coninuous funcions wih compac suppors. Then C comp (R n ) is dense in M Φ (R n ). We have Hölder s inequali for Orlicz spaces: (2.2) f(x)g(x) dx 2 f Φ g eφ. R n We also have he following equivalence: } (2.3) f Φ sup f(x)g(x) dx : ( g(x) ) dx 2 f Φ. R n R n

4 9 EIICHI NAKAI AND SHIGEO OKAMOTO If and onl if Φ 2, hen ( ) f(x) (2.4) Φ dx = for all f L Φ wih f Φ. R f n Φ Le f j } j L Φ.Iff j inl Φ as j +, hen (2.5) Φ( f j (x) ) dx as j +. R n IfandonlifΦ 2, he converse is rue The leer K and he word kernel denoe a nonnegaive L -funcion on R n which is radial and decreasing; i.e., K(x) =K(x )if x = x and K(x) K(x )if x x. Also, K() = + (we are no ineresed in bounded K), and we usuall normalize so ha K =. Le L Φ K = L Φ K(R n )=f = K F : F L Φ (R n )}, MK Φ = MK(R Φ n )=f = K F : F M Φ (R n )} The Poisson kernel for R n+ + is c n P (x) = (x R n, >), ( x ) (n+)/2 where c n =Γ ( ) n+ 2 π (n+)/2 is so chosen ha P =for<<+. (P K)(x) is he harmonic exension of K o R n+ +. For f L Φ K, he Poisson inegral u = P [f] means ha u(x, ) =P [f](x, ) =(P f)(x) =(P K F )(x), for some F L Φ (R n ) For a funcion φ :(, + ) (, + ), le BMO φ (R n )= f L loc(r n ): f BMOφ < + }, where f BMOφ = sup f(x) f B dx, B=B(a,r) φ(r) B B and f B = f(x) dx. B B If φ(r), hen BMO φ (R n )=BMO(R n ). If φ(r) =r α,<α, hen i is known ha BMO φ (R n )=Lip α (R n ). All funcions in BMO φ are coninuous, if and onl if φ() (2.6) d < + (see [2] and [6]) For funcions θ, κ : (, + ) (, + ), we denoe θ(r) κ(r) if here exiss a consan C>such ha C θ(r) κ(r) Cθ(r), r >. A funcion θ :(, + ) (, + ) is said o be almos increasing (almos decreasing) if here exiss a consan C> such ha θ(r) Cθ(s) (θ(r) Cθ(s)) for r s. The leer C shall alwas denoe a consan, no necessaril he same one.

5 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 9 3. Main resuls and examples For an N-funcion Φ and for a ball B, le ( ) } f(x) f Φ,B =inf λ>: Φ dx. B B λ For a kernel K and for an N-funcion Φ, le k(r, ) = B(,r) P K eφ,b(,r), r >, >, where is he complemenar N-funcion of Φ. Le <β<+. We define he approach region Ω Φ K,β(x )=(x, ) R n+ + : k( x x,) <β}, x R n, and he associaed maximal funcion (M[Ω Φ K,β]f)(x )=sup u(x, ) :(x, ) Ω Φ K,β(x )}, where u = P [f]. We assume ha Φ 2 and K/ L eφ (R n ). Le (3.) τ β () =supr >:k(r, ) <β}. Then <τ β () < +, τ β is coninuous and increasing, (3.2) τ β () as, k(τ β (),)=β, k(r, ) <β r<τ β (). Hence we can wrie Ω Φ K,β(x )=(x, ) R n+ + : k( x x,) <β} = (x, ) R n+ + : x x <τ β ()}, x R n. Moreover, he approach region Ω Φ K,β (x ) is angenial o he boundar of R n+ +, i.e. (3.3) τ β ()/ c > for all >, τ β ()/ + as. The properies (3.2) and (3.3) will be proved in he nex secion. If K L eφ and F L Φ, hen f = K F is coninuous, so ha u = P [f] is coninuous on he closure of R n+ +. In his case he angenial limi of u exiss riviall. Therefore we are ineresed in he case K/ L eφ. Our main resuls are following. Theorem 3.. Le Φ be an N-funcion and Φ 2. Then here exiss a consan C> such ha, for all f = K F L Φ K and for all >, x R n :(M[Ω Φ K,β]f)(x) >} ( ) C(β + K ) F (x) Φ dx, R n where C is independen of K, β, F and. Definiion 3.. A funcion u on R n+ + is said o have Ω Φ K -limi L a a poin x R n if i is rue for ever <β<+ ha u(x, ) L as (x, ) (x, ) wihin Ω Φ K,β (x ).

6 92 EIICHI NAKAI AND SHIGEO OKAMOTO Remark 3.. Since k(r, ) is increasing wih respec o r (see (4.6)), τ β () is increasing wih respec o β. Hence Ω Φ K,β ΩΦ K,β if β β. Theorem 3.2. Le Φ be an N-funcion and Φ 2. If f MK Φ and u = P [f], hen, for almos all x R n, he Ω Φ K -limi of u exiss a x and equals f(x ). Corollar 3.3. Le Φ be an N-funcion and Φ 2 2.Iff L Φ K and u = P [f], hen, for almos all x R n, he Ω Φ K -limi of u exiss a x and equals f(x ). The nex proposiion shows ha Theorem 3.2 is opimal wih regard o he size of he approach regions. To formulae his precisel, compare Ω Φ K,β(x )=(x, ) R n+ + : x x <τ β ()} wih anoher region (3.4) Ω(x )=(x, ) R n+ + : x x <ω()}, where ω is some posiive coninuous funcion. Le (3.5) where u = P [f]. (M[Ω]f)(x )=sup u(x, ) :(x, ) Ω(x )}, x R n, Proposiion 3.4. Le Ω and M[Ω] be as in (3.4) and (3.5), respecivel. If here exiss c > such ha, for all f = K F L Φ K (Rn ) and for all >, ( ) x R n c F (x) (3.6) :(M[Ω]f)(x) >} Φ dx, R n hen here exiss β> such ha, for all >, ω() τ β (). Theorems 3., 3.2, Corollar 3.3 and Proposiion 3.4 are generalizaion of he resuls of Nagel, Rudin and Shapiro [4]. However he definiion of τ β is no simple and τ β is difficul o calculae. To invesigae he geomeric properies of approach regions, we inroduce Ω R -limi. Definiion 3.2. For R :(, + ) (, + ) andfor<b<+, le Ω R,b (x )=(x, ) R n+ + : x x <br()}, x R n. A funcion u on R n+ + is said o have Ω R -limi L a a poin x R n if i is rue for ever <b<+ ha u(x, ) L as (x, ) (x, ) wihin Ω R,b (x ). In he case Φ(r) =r p wih <p< and K/ L p,wehave k(r, ) = B(,r) P K eφ,b(,r) = B(,r) /p P K L p (B(,r)) This implies ( β σ n /p P K p ) p/n τ β (). B(,r) /p P K p. Hence, for R() = P K p p/n,iff L p K and u = P [f], hen, for almos all x R n, he Ω R -limi of u exiss a x and equals f(x ). This is a resul of Nagel, Rudin and Shapiro [4]. The [4] also showed ha, if (3.6) holds, hen ω() C P K p p/n. We exend his resul o he following.

7 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 93 Theorem 3.5. Le Φ be an N-funcion, Φ 2 and K / L eφ (R n ). Le τ β, <β<+, be as in (3.). Then here exiss a coninuous increasing funcion R :(, + ) (, + ) wih R() as such ha b > β > >:br() τ β (). In his case he Ω Φ K -limi is also he Ω R-limi. Moreover, if Φ 2 2, hen he funcion R also have he proper β > b > >:τ β () br(). In his case he Ω Φ K -limi and he Ω R-limi are he same. Remark 3.2. We can choose R τ β for an fixed β > (see Proof of Theorem 3.5). In he following, we calculae he funcion τ = τ R. For a funcion ρ :(, + ) (, + ), le K ρ (x) = ρ( x ) x n. We assume ha ρ(r)/r n is decreasing and ha + ρ(r) dr < +. r Then K ρ is a kernel. From he decreasingness of ρ(r)/r n i follows ha ρ(2r) 2 n ρ(r) for r>. Le r ρ() ρ(r) = d. Then ρ(r) C ρ(r) for all r>. If ρ(r)/r α is almos increasing for small r> wih α>, hen ρ ρ for small r>. If ρ(r)/r β is almos decreasing for small r> wih β>, hen ρ(r)/r β is also almos decreasing for small r> (see Lemma 6.2 (iii), (iv)). Proposiion 3.6. Le τ = τ be as in (3.) for a kernel K ρ and an N-funcion Φ wih K ρ / L eφ (R n ). (i) If Φ 2, hen τ() ( τ() (3.7) C τ() n n ) ρ() n + τ()n ρ() n+ n d C for small >. (ii) If Φ 2 2, hen ( τ() (3.8) C τ() n n ) ρ() n + τ()n ρ() n+ n d C for small >. (iii) If Φ 2, Φ(r)/r p is almos decreasing wih <p<, and,ρ(r)/r β is almos (3.9) decreasing for small r> wih < β < n/p, hen ( ) n ( ) C τ()n ρ() τ() n C for small >. Theorem 3.7. Le Φ(r) =r p wih <p<. Le ρ(r)/r α be almos increasing and ρ(r)/r β be almos decreasing for small r>, wih α n/p and α β<n.

8 94 EIICHI NAKAI AND SHIGEO OKAMOTO (i) In he case ha α>, le/p +/p =and (3.) R() = ( ( ) p ) p/(np ) ρ() d n/p for small >. (ii) In he case ha < β < n/p, le /ρ() p/n (α>) (3.) R() = / ρ() p/n (α =) for small >. If f L p K ρ and u = P [f], hen, for almos all x R n, he Ω R -limi of u exiss a x and equals f(x ). Moreover, his is opimal in he sense of Proposiion 3.4. Remark 3.3. If he inegral in (3.) is finie as, hen K ρ L p (R n ). Le SV be he se of all coninuous funcions l :(, + ) (, + ) saisfing, for some consan C>, C l(s) l(r) C for 2 log r s 2, r,s. Then, for ever ɛ>, l(r)r ɛ is almos increasing and l(r)/r ɛ is almos decreasing. Theorem 3.8. Le N-funcion Φ(r) be of he form r p l(r) wih <p< and l SV, and ρ(r) be of he form r α m(r) wih α n/p and m SV. (i) In he case ha α = n/p, le/p +/p =and (3.2) ( ( ) ) p /p p/(np ) R() = m() p l d for small >. (ii) In he case ha <α<n/p,le αp/n l(/)/n (3.3) R() = m() p/n (iii) In he case ha α =,le for small >. l(/ m())/n (3.4) R() = for small >. m() p/n If f L Φ K ρ and u = P [f], hen, for almos all x R n, he Ω R -limi of u exiss a x and equals f(x ). Moreover, his is opimal in he sense of Proposiion 3.4. Remark 3.4. Le ( ) /p φ(r) =m(r)l. r If φ(r) is almos increasing for small r>, hen L Φ K ρ (R n ) L Φ (R n ) BMO φ (R n ). If φ()p / d < + as, hen K ρ L eφ (R n ). If φ()p / d + as, hen (2.6) fails. The following resul is no necessaril opimal.

9 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 95 Theorem 3.9. Le Φ 2 and R() = ρ(). /n If f MK Φ ρ and u = P [f], hen, for almos all x R n, he Ω R -limi of u exiss a x and equals f(x ). A he end of his secion, we sae examples. Examples 3. and 3.2 follow immediael from Theorems 3.7 and 3.8, respecivel. Example 3.3 is for he case of Φ 2 \ 2. A proof of Example 3.3 is in Secion 6. Example 3.3 is no necessaril opimal. Example 3.. Le <p<, α n/p, <β<+, <γ<+, Φ(r) =r p, and, ρ(r) =r α (log(/r)) β (log log(/r)) γ for small r>. Le ( log log ) (γ )p/n when α =,β =,γ >, ( log ) (β )p/n ( log log ) γp/n when α =,β >, ( αp/n log ) βp/n ( log log ) γp/n when <α<n/p, R() = ( log ) ( /p β)p/n ( log log ) γp/n when α = n/p, β < /p, ( log log ) ( /p γ)p/n when α = n/p, β = /p, γ < /p, ( log log log ) (p )/n when α = n/p, β = /p, γ = /p. If f L p K ρ and u = P [f], hen, for almos all x R n, he Ω R -limi of u exiss a x and equals f(x ). Moreover, his is opimal in he sense of Proposiion 3.4. (If α > n/p, orif α = n/p and β> /p, orifα = n/p, β = /p and γ> /p, hen K ρ L eφ (R n ).) Example 3.2. Le <p<, <θ<+ and r p (log r) θp for large r>, Φ(r) = r p (log(/r)) θp for small r>. For consans α and β wih α n/p and <β<+, leρ(r) =r α (log(/r)) β for small r>. Le ( log ) (β )p/n ( log log ) θp/n when α =,β>, ( αp/n log ) (β+θ)p/n when < α < n/p, R() = ( log ) ( /p β θ)p/n when α = n/p, /p > β + θ, ( log log ) (p )/n when α = n/p, /p = β + θ. If f L Φ K ρ and u = P [f], hen, for almos all x R n, he Ω R -limi of u exiss a x and equals f(x ). Moreover, his is opimal in he sense of Proposiion 3.4. (If α > n/p, orif α = n/p and /p < β + θ, hen K ρ L eφ (R n ).)

10 96 EIICHI NAKAI AND SHIGEO OKAMOTO Example 3.3. Le exp r for large r>, Φ(r) = / exp(/r) for small r>, and ρ(r) = (log(/r)) 2 for small r>. Le ( R() = ɛ log ) /n for small >, where ɛ> is small enough. If f MK Φ ρ and u = P [f], hen, for almos all x R n,he Ω R -limi of u exiss a x and equals f(x ). 4. Proofs of he properies (3.2) and (3.3) To show he properies (3.2) and (3.3), we invesigae he properies of k(r, ). Firs we sae wo lemmas. Lemma 4.. Le Φ be an N-funcion and g. Then,forz R n and r>, Φ( f g(x) ) dx g sup Φ( f(x) ) dx. B(z,r) z R n B(z,r) Proof. Le α = g, β =sup Φ( f(x) ) dx. z R n B(z,r) If α =, hen his inequaion is clear. We assume α. Leµ(A) = g(x) dx/α for A A R n. Then µ is a probabili measure. We noe b χ E he characerisic funcion of E R n. Then we have ( ) Φ( f g(x) ) dx Φ f(x x ) g(x ) dx χ B(z,r)(x) dx B(z,r) R n R ( n ) = Φ α f(x x ) dµ(x ) χ B(z,r)(x) dx R n R ( n ) α Φ f(x x ) dµ(x ) χ B(z,r)(x) dx R n R ( n ) α Φ( f(x x ) ) dµ(x ) χ B(z,r)(x) dx R n R n α βdµ(x )=αβ. R n Lemma 4. shows ha, if f is radial and decreasing and g, hen (4.) f g Φ,B(,r) g f Φ,B(,r). Lemma 4.2. Le K be a kernel and Φ be an N-funcion. Then, for all r>, c n (4.2) P K Φ,B(,r) P Φ,B(,r) Φ () n for >. (4.3) P 2 K Φ,B(,r) P K Φ,B(,r) for < 2. If K/ L Φ (R n ), hen, for ever r>, (4.4) P K Φ,B(,r) + as. If Φ 2, hen, for r>, > and >, (4.5) P K Φ,B(,r) P K Φ,B(,r) < n P K Φ,B(,r).

11 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 97 Proof. P and K are radial and decreasing. Hence P K is also radial and decreasing. B P = K =,P + = P P and P (x) c n / n, using (4.), we have (4.2) and (4.3). If K L (R n ) \ L Φ (R n ), hen ( ) K(x) Φ dx =+ for all r>,λ>. B(,r) λ Since P K K a.e. as, we have (4.4). B he inequali ( ) ( ) P K(x) P K(x) Φ dx Φ dx, B(,r) B(,r) λ B(,r) B(,r) λ we have he firs inequali in (4.5). If Φ 2, hen, for λ = P K Φ,B(,r), ( ) ( ) P K(x) P K(x) Φ B(,r) B(,r) λ/ n dx Φ dx B(,r) B(,r) λ ( ) P K(x) > Φ dx =. B(,r) B(,r) λ Hence P K Φ,B(,r) >λ/ n, his is he second inequali in (4.5). We assume ha Φ 2 and K/ L eφ. Then 2. We appl Lemma 4.2 o. Then (4.3) and (4.4) impl (4.6) k(r, ) k(r, 2 )for < 2 and k(r, ) + as. Le l(λ, ) = (P B K(x)/λ) dx. Then l(λ, ) is coninuous wih respec o λ and, sricr decreasing wih respec o λ, l(λ, ) + as λ, and, l(λ, ) asλ +. Hence P K eφ,b(,r) is coninuous wih respec o, andsoisk(r, ). B (4.5) and (4.2) we have ha k(r, ) is coninuous wih respec o r and (4.7) k(r,) <k(r 2,)forr <r 2 and k(r, ) asr. Le m = P K(x) for x =. For all λ>, here exiss λ > such ha λ () ( m ) λ for all >. Then, for B = B(,r), ( ) B (P K)(x) B λ B dx B B(,) ( ) B m dx λ σ n ( B ) λ > B for large r>. Hence (4.8) k(r, ) = B (P K) eφ,b + as r +. These properies (4.6), (4.7), (4.8) and he coninui of k(r, ) ield (3.2). Nex we show (3.3). We noe ha ( ) n τβ () k(τ β (),) β = σ n n = P K eφ,b(,τβ ()) σ n n, P K eφ,b(,τβ ()) and we show (4.9) n P K eφ,b(,τβ ()) c < + for all >, (4.) n P K eφ,b(,τβ ()) as.

12 98 EIICHI NAKAI AND SHIGEO OKAMOTO B (4.2) we have (4.9). For all ε>, le K = G ε + H ε, G ε L, G ε <, H ε <ε. For C ε = G ε / (), using Lemma 4., we have ( ) ( ) P G ε (x) Gε (x) dx sup dx B(,r). B(,r) C ε z R n B(z,r) C ε Then P G ε eφ,b(,r) C ε for all r>. B (4.) and (4.2) we have εc n P H ε eφ,b(,r) () n for all r>. Hence, for n ε/c ε and r = τ β (), ( ) n P K eφ,b(,τβ ()) εc n () + C ε n c n ε () +. Therefore we have (3.3). 5. Proofs of Theorem Le Mf(x) =sup f(z) dz and M Φ f(x) =sup f Φ,B, B x B B B x where he supremum is aken over all balls B conaining x. The nex wo lemmas are [, Lemma 5.2] and [4, Lemma 2.2]. Lemma 5.. There exiss C> such ha, for all F L Φ (R n ) and for all >, ( ) F (x) x R n : M Φ F (x) >} C Φ dx. R n Lemma 5.2. If F L,andg is radial and decreasing, hen F (x) g(x) dx (MF)() g(x) dx. R n R n We have he following: Theorem 5.3. Le Φ and be a complemenar pair of N-funcions. Then here exiss a consan C> such ha ) (K F )(x) C ((M Φ F )(x ) x x n K eφ,b(, x x ) +(MF)(x ) K whenever F L Φ, K is a nonnegaive, radial and decreasing funcion on R n, x R n, x R n. Proof. Take x =, wihou loss of generali. Fix x. Then (K F )(x) K(x z) F (z) dz = I + I 2, R n where I and I 2 are inegrals over B = B(, 2 x ) andb C respecivel. Hölder s inequali shows ha I = K(x z) F (z) dz 2 B K(x ) eφ,b F Φ,B B 2 B K(x ) eφ,b (M Φ F )().

13 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 99 Since B(, x ) B(x,2 x ) andk is radial and decreasing, ( ) K(z x) dz B(, 2 x ) B(,2 x ) λ ( ) K(z) = dz B(x, 2 x ) B(x,2 x ) λ ( ) K(z) dz. B(, x ) B(, x ) λ Hence K(x ) eφ,b(,2 x ) K eφ,b(, x ). and I 2 n+ σ n x n K eφ,b(, x ) (M Φ F )(). If z B C, hen x z z /2, hence K(x z) K(z/2), so ha I 2 = K(x z) F (z) dz K(z/2) F (z) dz B C B C MF() K( /2) =2 n MF() K, b Lemma 5.2. These wo esimaes prove he heorem. Since P and K are nonnegaive, radial and decreasing, so is P K. Hence Theorem 5.3 holds wih P K in place of K. B Hölder s inequali, MF CM Φ F. B Fubini s heorem, P K = P K = K. Hence Theorem 5.3 implies he following: Theorem 5.4. Le Φ and be a complemenar pair of N-funcions. If F L Φ,anduis defined in R n+ + b u(x, ) =(P K F )(x), hen u(x, ) C(M Φ F )(x )( K + k( x x,)), where k(r, ) = B(,r) P K eφ,b(,r) and x R n. Proof of Theorem 3.. If u = P [f] andf = K F, Theorem 5.4 shows ha (5.) u(x, ) C(M Φ F )(x )(β + K ) in Ω Φ K,β (x ). Thus M[Ω Φ K,β]f(x ) C(β + K )M Φ F (x ) for all x R n. Combining Lemma 5., we have Theorem 3.. Proof of Theorem 3.2. Le } E = E(β,ɛ) = x R n : lim sup u(x, ) f(x ) >ɛ. (x,) Ω Φ K,β,(x,) (x,) We shall prove ha E = for all β and for all ɛ. Foreachj N, here exiss G j C comp (R n ) such ha F G j Φ /j. Le g j = K G j and v j (x, ) =P g j (x). Then f g j Φ K F G j Φ as j +.

14 2 EIICHI NAKAI AND SHIGEO OKAMOTO We can use (2.5) for 3C(β + )(F G j )/ɛ and 3(f g j )/ɛ, where C is he consan in Theorem 3.. Le } E,j = x R n : lim sup u(x, ) v j (x, ) >ɛ/3, (x,) Ω Φ K,β,(x,) (x,) } E 2,j = x R n : lim sup v j (x, ) g j (x ) >ɛ/3, (x,) Ω Φ K,β,(x,) (x,) E 3,j = x R n : g j (x ) f(x ) >ɛ/3}. Then E E,j E 2,j E 3,j for j =, 2,. B Theorem 3. we have ( ) C(β +) F (x) Gj (x) E,j Φ dx R ɛ/3 n as j +. Since v j is coninuous on he closure of R n+ +, lim sup v j (x, ) g j (x ) =. (x,) Ω Φ K,β,(x,) (x,) Hence we have E 2,j =. And we have E 3,j = dx ( ) gj (x) f(x) Φ dx E 3,j Φ() R ɛ/3 n as j +. Proof of Proposiion 3.4. Le B = B(,τ β ()). Since P K eφ,b equals he norm of P K in he Orlicz space L eφ (B,dx/ B ), using (2.3), we have P K eφ,b = P K L eφ (B,dx/ B ) sup (P K)(x)F (x) dx/ B : B B } Φ( F (x) )dx/ B. Then here exiss F L Φ (R n ) such ha F (x), F (x) =forx/ B, Φ( F (x) )dx/ B and P K eφ,b 2 (P K)(x)F (x) dx/ B. B Le u = P [f], f = K F. Then u(,)=p K F () = (P K)( x)f (x) dx = B B (P K)(x)F (x) dx. Hence u(,) B P K eφ,b /2=k(τ β (),)/2 =β/2. If x B(,ω()), hen (,) Ω(x), so ha u(,) M[Ω]f(x). Hence B(,ω()) M[Ω]f(x) u(,)} M[Ω]f(x) > β/4}. We have, for β 4c, ( ) (5.2) σ n ω() n c F (x) M[Ω]f(x) >β/4} Φ dx β/4 Φ(F (x)) dx B σ n τ β () n, b (3.6). Then we have, for β 4c, ω() τ β ().

15 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 2 In (5.2), if Φ 2, hen, for all β>, ( ) (5.3) σ n ω() n c F (x) M[Ω]f(x) >β/4} Φ dx β/4 C c,β Φ(F (x)) dx C c,β B C c,βσ n τ β () n, where C c,β depends on Φ, c and β. Proof of Theorem 3.5. Fix β > and le R = τ β. Since τ β () is increasing wih respec o β, and P K eφ,b(,r) is decreasing wih respec o r, wehave P K eφ,b(,τβ ()) P K eφ,b(,τβ ()) for β β. Hence ( ) n τβ () = β/ P K eφ,b(,τβ ()) β. τ β () β / P K eφ,b(,τβ ()) β For β b n β,wehave ( ) /n β bτ β () b τ β () τ β (). β Le Φ 2 2. B Theorem 3. x R n : M[Ω Φ K,β]f(x) >} ( ) C(β +) F (x) Φ dx. R n In Proof of Proposiion 3.4 and (5.3), using τ β, C(β +) and β insead of ω, c and β, respecivel, we have τ β () C β,β τ β (), where C β,β > depends on Φ, β, β. 6. Proofs of Proposiion 3.6 and Theorems To prove Proposiion 3.6, we sae a proposiion and wo lemmas. Proposiion 6.. Assume ha Φ 2, ha K and H are kernels, no in L eφ, and ha here are consans a, b, ɛ> such ha (6.) <a K(x) b<+ if < x <ɛ. H(x) Then here are consans a, b, such ha <a P K eφ,b(,r) (6.2) b < + P H eφ,b(,r) for <r<+ and <<. Proof. Le K = K + K, H = H + H, where K and H are he resricions of K and H o x <ɛ}. Then K L L. Hence ( P K P K eφ,b(,r) =inf λ>: ) } (x) dx B(,r) B(,r) λ ( K inf λ>: B(,r) sup ) } (x) dx K z R n λ () < +. B(z,r)

16 22 EIICHI NAKAI AND SHIGEO OKAMOTO The same is rue for P H eφ,b(,r). Since P K eφ,b(,r) and P H eφ,b(,r) end o + when (see (4.4) in Lemma 4.2), i follows ha he upper and lower limis of he raio in (6.2) are unchanged if K and H are replaced b K and H. Since ah K bh and 2, (6.2) holds. Lemma 6.2. (i) If ρ(r) is almos increasing for small r>, hen r ρ() d rρ(r) for small r>. (ii) If ρ(r) is almos increasing and ρ(r)/r β is almos decreasing for small r>wih β<n, hen ρ() ρ(r) d r n+ r n for small r>. (iii) If ρ(r)/r α is almos increasing for small r> wih <α n, hen r ρ() ρ(r) = d ρ(r) for small r>. (iv) If ρ(r)/r β is almos decreasing for small r> wih β>, hen ρ(r)/r β is also almos decreasing for small r>. Proof. (i) We noe ha ρ(r)/r n is decreasing. r r rρ(r) =ρ(r) n + r n n d ρ() d Crρ(r). (ii) If <r</2, hen ρ(r) 2n r n ρ(r) ρ() ρ(r) d C d C r n+ r n+ r β d C ρ(r) r n β+ n β r n. (iii) Using he decreasingness of ρ(r)/r n,wehave r ρ(r) =ρ(r) n r n n d (iv) For r<s,le =(r/s)u. Then r ρ() d = s r ρ() ρ((r/s)u) u d C ρ(r) r α r ( r β s du s) α+ d C α ρ(r). Lemma 6.3. Suppose ρ is almos increasing and ρ(r)/r β is almos decreasing for small r> wih <β<n.ifφ 2, hen r ( ρ() P K ρ eφ,b(,r) inf λ >:r n λ n + ρ() ) } (6.3) λ n+ n d, for < r/2. Proof. Le Using H ρ (x) = x x 2 2 ρ() P (x) d. ( x ), ( x <), ρ(u) u du.

17 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 23 we have H ρ (x) x n+ B Lemma 6.2, we have B P P = P +,wehave For x + </2, le Then I 2 = If x, hen If x >, hen I Hence x + Therefore B(,) I = x + I ρ() x + ρ() x + x ρ() ρ() d + d for x < /2. x n+ K ρ (x) H ρ (x) for x < /2. (H ρ P )(x) = ρ() P + (x) d. ρ() P + (x) d, I 2 = x + c n ( + ) d. ( x 2 +( + ) 2 )(n+)/2 ρ() + d ( x + + ) n+ ρ() P H ρ (x) n ρ( x ) x n ρ() P + (x) d. x + ρ() ρ( x + ) d n+ ( x + ) n. + ρ() d ρ( x + ) ( x + + ) n+ n n. x n+ x + ρ() ( + ) d = ρ( x ) (( x + )ρ( x + )+ ρ( x + )) x n+ x n + ρ( x ) x n+. + ρ( x ) x n+ ( ) ( P H ρ (x) dx λ ρ() λ n 2 ) n ( x ), ( x ), when x + </2. ( ) ρ() 2 ( ) ρ() λ n n d λ n+ n d, r ( ρ() dx λ n + ρ() ) λ n+ n d. and ( ) P H ρ (x) B(,r)\B(,) λ This shows (6.3). Proof of Proposiion 3.6. Le τ = τ.from k(τ(),)= B(,τ()) P K ρ eφ,b(,τ()) =, i follows ha P K ρ eφ,b(,τ()) = B(,τ()) τ() n.

18 24 EIICHI NAKAI AND SHIGEO OKAMOTO B Lemma 6.3, we have τ() P K ρ eφ,b(,τ()) inf λ>:τ() n B (2.4) we have (3.7). If 2, hen Hence τ() n τ() Therefore we have (3.8). If, hen + ( ) s n s n ds < +. ( ρ() λ n + ρ() ) } λ n+ n d. ( τ() n ) ρ() n + τ()n ρ() n+ n d ( ) τ() Cτ() n n /τ() ( ) τ() n n d C s n s n ds C. τ() n ρ() n + τ()n ρ() n+ 2 τ()n ρ() n. p From he almos increasingness of (r)/r and he almos decreasingness of ρ(r)/r β,i follows ha ( ) ( τ() n ) ( ) ( ) p ρ() n + τ()n ρ() n+ C τ()n ρ() τ()n ρ() τ()n ρ() n C n n ( τ()n ρ() Hence τ() n τ() Cτ() n ( τ()n ρ() β ( ) ( ) p τ()n ρ() τ()n ρ() C n p β ( ) p (n β) τ()n ρ() n ( τ() n ) ρ() n + τ()n ρ() n+ n d ( ) ) p τ()n ρ() ( ) n n p ( ) p (n/p β) = C τ()n ρ() τ() n On he oher hand τ() ( τ() τ() n n ) ρ() n + τ()n ρ() n+ n d 2 ( ) τ() n τ()n ρ() n d 2 ( τ() n τ()n ρ() n n+ ) n d = C ( ) n τ() n ) p for. ( τ()n ρ() n ( τ()n ρ() Proof of Theorem 3.7. We show ha R is equivalen o τ in Proposiion 3.6. Then we have he conclusion b Theorem 3.5. n ). ).

19 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 25 In he case (i), using ρ ρ, wehave τ() n ρ() n B (r) r p,wehave ( τ() τ() n n ρ() n + τ()n ρ() n+ τ()n ρ() n for. ) + τ()n ρ() n+ n τ() np /p ( ) p ρ(). n/p Using (3.8) in Proposiion 3.6, we have ha τ is equivalen o R in (3.). In he case (ii), i follows from (3.9) in Proposiion 3.6. Proof of Theorem 3.8. We have ha (r) r p l(r) p /p. Acuall, Φ(r) =r p l(r) implies Φ (r) r /p l(r) /p. From (2.) i follows ha (r) r /p l(r) /p. This implies (r) r p l(r) p /p. In he case (i), using ρ ρ, wehave and ( τ() n ρ() Le n τ() n ρ() n ) + τ()n ρ() n+ + τ()n ρ() n+ ( τ() n ) ρ() n ( τ() n ρ() τ() ( τ() E() =τ() n n ρ() n τ()n ρ() n for, n ) p ) p ( τ() n ρ() l n n ) p /p ( τ() n ) p ρ() /p l n d. for. Then, b (3.7) in Proposiion 3.6, we have C E() C. Choose δ>andν>so ha p δp < δp <ν<, /n 2δ and le B () =τ() n B 2 () =τ() n τ() ν τ() ν ( τ() n ρ() n ( τ() n ρ() n ) p ) p ( τ() n ) p ρ() /p l n d, l n ( ) p /p n d. If we show ha (6.4) <τ() ν <τ() < for small >, ( τ() n ) ( ) ρ() (6.5) l n l for τ() ν, (6.6) hen we have B (), B 2 () as, ( τ() E() τ() n ) p ( ) p ρ() /p n l n d ( ) p = τ() np /p /p m() p l d for small >,

20 26 EIICHI NAKAI AND SHIGEO OKAMOTO and hen ( ( ) ) p /p p/(np ) τ() R() = m() p l d. In he following we show (6.4) (6.6). From he almos increasingness of r δp l(r) p /p and i follows ha τ() n ρ() n C n, ( τ() n ρ() (6.7) l n ) p /p ( τ() n ) δp ( ρ() τ() n ρ() = n n ( τ() n ) δp ( ) δp ( ρ() C n n l ( = Cτ() δnp δnp /p m() δp l ) δp ( τ() n ρ() l ) p /p ) p /p Hence, using he almos increasingness of δnp /p m() p δp l ( ) p /p,wehave E() =τ() np /p τ() ( τ() n ) p ρ() /p m() p l d n τ() ( ) p Cτ() np /p δnp δnp /p m() p δp /p l d From C E() i follows ha n ) p /p for <, τ() <. τ() Cτ() np /p δnp 2δnp /p d Cτ() np /p δnp 2δnp /p. Cτ() ( δp)/(2δ) <τ() ν for small >. Then we have (6.4). For τ() ν <, we have C n τ()n ρ() n n/ν ρ() n = m() δ C n n/p δ n/ν, n/p δ n/ν We noe ha n/p δ n/ν >. Hence we have (6.5). B (6.7) we have B () =τ() np /p m() p l τ() ν Cτ() np /p δnp ( τ() n ρ() n τ() ν δnp Cτ() np /p δnp ) p /p d ( ) p /p m() p δp /p l d τ() ν 2δnp /p d Cτ() np /p δnp τ() 2νδnp /p = Cτ() (np /p)( δp 2νδ) as.

21 TANGENTIAL BOUNDARY BEHAVIOR OF THE POISSON INTEGRALS 27 Using he almos increasingness of δnp /p m() p l ( ) p /p,wehave ( ) p B 2 () =τ() np /p m() p /p l d τ() ν = τ() np /p τ() ν δnp Cτ() np /p ( /p+δnp /p m() p l τ() ν δnp /p d Cτ() np /p τ() νδnp /p ) p /p d = Cτ() (np /p)( νδ) as. In he cases (ii) and (iii), le W (r) = (r)/r r p l(r) p /p. Then W (r) r /(p ) l(r). Using (3.9) in Proposiion 3.6, we have ( ) τ()n ρ() W n ρ(), and hen τ() n ( ) ( ) ρ() n W ρ() ρ() l. /(p ) ρ() Hence τ() l(/ ρ())/n. ρ() p/n We noe ha ρ() α m() in he case (ii) and ha ρ() m() in he case (iii). Therefore we have ha τ is equivalen o R in (3.3) or in (3.4). Proof of Theorem 3.9. Le (6.8) w(, ) = τ()n ρ() n + τ()n ρ() n+. Then w(, ) w(, ) for>. B he increasingness of (r)/r, wehave τ() τ() τ() n (w(, )) n d τ() n w(, ) (w(, )) n d w(, ) = (w(, )) τ() ( ρ() + ρ() ) w(, ) 2 d C (w(, )) ρ(τ()). w(, ) B Proposiion 3.6 (i), we have (w(, )) (6.9) ρ(τ()) C. w(, ) From ρ(τ()) as, i follows ha w(, ) + as. Therefore we have R() =/ ρ() /n τ() for small >. Proof of Example 3.3. Le l(r) = log r for large r>, / log(/r) for small r>.

22 28 EIICHI NAKAI AND SHIGEO OKAMOTO Then (r) rl(r). Le w(, ) be as in (6.8). For small >, w(, ) is large. Then l(w(, )) = log w(, ). B (6.9), we have ( ) C τ()n ρ() ρ(τ())l(w(, )) ρ(τ()) log This shows ha C ρ(τ()) nlog τ() + n log + log ρ(). B ρ() (log(/)) for small >, we have τ() (log(/)) /n ɛ = R(), ɛ = n n + C. References [] J. R. Dorronsoro, Poisson inegrals of regular funcions, Trans. Amer. Mah. Soc. 297 (986), [2] S. Janson, On funcions wih condiions on he mean oscillaion, Ark. Ma. 4 (976), [3] Y. Mizua, Inegral represenaions, differeniabili properies and limis a infini for Beppo Levi funcions, Poenial Anal. 6 (997), [4] A. Nagel, W. Rudin and J. H. Shapiro, Tangenial boundar behavior of funcion in Dirichle-pe spaces, Ann. of Mah. 6 (982), [5] A. Nagel and E. M. Sein, On cerain maximal funcions and approach regions, Adv. in Mah. 54 (984), [6] E. Nakai, On he resricion of funcions of bounded mean oscillaion o he lower dimensional space, Arch. Mah. 43 (984), [7], On generalized fracional inegrals, Taiwanese J. Mah. 5 (2), [8], On generalized fracional inegrals in he Orlicz spaces on spaces of homogeneous pe, Sci. Mah. Jpn. 54 (2), [9], On generalized fracional inegrals on he weak Orlicz spaces, BMO φ, he Morre spaces and he Campanao spaces, Funcion spaces, inerpolaion heor and relaed opics (Lund, 2), 389 4, Waler de Gruer, Berlin, New York, 22. [] C. Pérez and R. L. Wheeden, Uncerain Principle esimaes for vecor fields, J. Func. Anal. 8 (2), [] M. M. Rao and Z. D. Ren, Theor of Orlicz Spaces, Marcel Dekker, Inc., New York, Basel and Hong Kong, 99. Eiichi Nakai, Deparmen of Mahemaics, Osaka Koiku Universi, Kashiwara, Osaka , Japan address: enakai@cc.osaka-koiku.ac.jp Shigeo Okamoo, Ikeda Senior High School Aached To Osaka Koiku Universi, -5-, Midorigaoka Ikeda-ci, Osaka , Japan address: sgo@mb9.seikou.ne.jp n

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential Periodic oluion of van der Pol differenial equaion. by A. Arimoo Deparmen of Mahemaic Muahi Iniue of Technology Tokyo Japan in Seminar a Kiami Iniue of Technology January 8 9. Inroducion Le u conider a

Διαβάστε περισσότερα

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X. Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequalit for metrics: Let (X, d) be a metric space and let x,, z X. Prove that d(x, z) d(, z) d(x, ). (ii): Reverse triangle inequalit for norms:

Διαβάστε περισσότερα

Oscillation criteria for two-dimensional system of non-linear ordinary differential equations

Oscillation criteria for two-dimensional system of non-linear ordinary differential equations Elecronic Journal of Qualiaive Theory of Differenial Equaions 216, No. 52, 1 17; doi: 1.14232/ejqde.216.1.52 hp://www.mah.u-szeged.hu/ejqde/ Oscillaion crieria for wo-dimensional sysem of non-linear ordinary

Διαβάστε περισσότερα

Linear singular perturbations of hyperbolic-parabolic type

Linear singular perturbations of hyperbolic-parabolic type BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Number 4, 3, Pages 95 11 ISSN 14 7696 Linear singular perurbaions of hyperbolic-parabolic ype Perjan A. Absrac. We sudy he behavior of soluions

Διαβάστε περισσότερα

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

Necessary and sufficient conditions for oscillation of first order nonlinear neutral differential equations

Necessary and sufficient conditions for oscillation of first order nonlinear neutral differential equations J. Mah. Anal. Appl. 321 (2006) 553 568 www.elsevier.com/locae/jmaa Necessary sufficien condiions for oscillaion of firs order nonlinear neural differenial equaions X.H. ang a,, Xiaoyan Lin b a School of

Διαβάστε περισσότερα

Oscillation Criteria for Nonlinear Damped Dynamic Equations on Time Scales

Oscillation Criteria for Nonlinear Damped Dynamic Equations on Time Scales Oscillaion Crieria for Nonlinear Damped Dynamic Equaions on ime Scales Lynn Erbe, aher S Hassan, and Allan Peerson Absrac We presen new oscillaion crieria for he second order nonlinear damped delay dynamic

Διαβάστε περισσότερα

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

Διαβάστε περισσότερα

Nonlinear Analysis: Modelling and Control, 2013, Vol. 18, No. 4,

Nonlinear Analysis: Modelling and Control, 2013, Vol. 18, No. 4, Nonlinear Analysis: Modelling and Conrol, 23, Vol. 8, No. 4, 493 58 493 Exisence and uniqueness of soluions for a singular sysem of higher-order nonlinear fracional differenial equaions wih inegral boundary

Διαβάστε περισσότερα

Every set of first-order formulas is equivalent to an independent set

Every set of first-order formulas is equivalent to an independent set Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent

Διαβάστε περισσότερα

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER ORDINAL ARITHMETIC JULIAN J. SCHLÖDER Abstract. We define ordinal arithmetic and show laws of Left- Monotonicity, Associativity, Distributivity, some minor related properties and the Cantor Normal Form.

Διαβάστε περισσότερα

Uniform Convergence of Fourier Series Michael Taylor

Uniform Convergence of Fourier Series Michael Taylor Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

The one-dimensional periodic Schrödinger equation

The one-dimensional periodic Schrödinger equation The one-dmensonal perodc Schrödnger equaon Jordan Bell jordan.bell@gmal.com Deparmen of Mahemacs, Unversy of Torono Aprl 23, 26 Translaons and convoluon For y, le τ y f(x f(x y. To say ha f : C s unformly

Διαβάστε περισσότερα

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω Fourier series e jm when m d when m ; m is an ineger. jm jm jm jm e d e e e jm jm jm jm r( is periodi (>, r(+ r(, Fundamenal period smalles Fundamenal frequeny r ( + r ( is periodi hen M M e j M, e j,

Διαβάστε περισσότερα

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS FUMIE NAKAOKA AND NOBUYUKI ODA Received 20 December 2005; Revised 28 May 2006; Accepted 6 August 2006 Some properties of minimal closed sets and maximal closed

Διαβάστε περισσότερα

On Strong Product of Two Fuzzy Graphs

On Strong Product of Two Fuzzy Graphs Inernaional Journal of Scienific and Research Publicaions, Volume 4, Issue 10, Ocober 014 1 ISSN 50-3153 On Srong Produc of Two Fuzzy Graphs Dr. K. Radha* Mr.S. Arumugam** * P.G & Research Deparmen of

Διαβάστε περισσότερα

A Note on Intuitionistic Fuzzy. Equivalence Relation

A Note on Intuitionistic Fuzzy. Equivalence Relation International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com

Διαβάστε περισσότερα

A General Note on δ-quasi Monotone and Increasing Sequence

A General Note on δ-quasi Monotone and Increasing Sequence International Mathematical Forum, 4, 2009, no. 3, 143-149 A General Note on δ-quasi Monotone and Increasing Sequence Santosh Kr. Saxena H. N. 419, Jawaharpuri, Badaun, U.P., India Presently working in

Διαβάστε περισσότερα

12. Radon-Nikodym Theorem

12. Radon-Nikodym Theorem Tutorial 12: Radon-Nikodym Theorem 1 12. Radon-Nikodym Theorem In the following, (Ω, F) is an arbitrary measurable space. Definition 96 Let μ and ν be two (possibly complex) measures on (Ω, F). We say

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

Positive solutions for a multi-point eigenvalue. problem involving the one dimensional

Positive solutions for a multi-point eigenvalue. problem involving the one dimensional Elecronic Journal of Qualiaive Theory of Differenial Equaions 29, No. 4, -3; h://www.mah.u-szeged.hu/ejqde/ Posiive soluions for a muli-oin eigenvalue roblem involving he one dimensional -Lalacian Youyu

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

1. Introduction and Preliminaries.

1. Introduction and Preliminaries. Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.yu/filomat Filomat 22:1 (2008), 97 106 ON δ SETS IN γ SPACES V. Renuka Devi and D. Sivaraj Abstract We

Διαβάστε περισσότερα

Boundedness of Some Pseudodifferential Operators on Bessel-Sobolev Space 1

Boundedness of Some Pseudodifferential Operators on Bessel-Sobolev Space 1 M a t h e m a t i c a B a l k a n i c a New Series Vol. 2, 26, Fasc. 3-4 Boundedness of Some Pseudodifferential Operators on Bessel-Sobolev Space 1 Miloud Assal a, Douadi Drihem b, Madani Moussai b Presented

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

SOME PROPERTIES OF FUZZY REAL NUMBERS

SOME PROPERTIES OF FUZZY REAL NUMBERS Sahand Communications in Mathematical Analysis (SCMA) Vol. 3 No. 1 (2016), 21-27 http://scma.maragheh.ac.ir SOME PROPERTIES OF FUZZY REAL NUMBERS BAYAZ DARABY 1 AND JAVAD JAFARI 2 Abstract. In the mathematical

Διαβάστε περισσότερα

Oscillatory integrals

Oscillatory integrals Oscilltory integrls Jordn Bell jordn.bell@gmil.com Deprtment of Mthemtics, University of Toronto August, 0 Oscilltory integrls Suppose tht Φ C R d ), ψ DR d ), nd tht Φ is rel-vlued. I : 0, ) C by Iλ)

Διαβάστε περισσότερα

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

University of Washington Department of Chemistry Chemistry 553 Spring Quarter 2010 Homework Assignment 3 Due 04/26/10

University of Washington Department of Chemistry Chemistry 553 Spring Quarter 2010 Homework Assignment 3 Due 04/26/10 Universiy of Washingon Deparmen of Chemisry Chemisry 553 Spring Quarer 1 Homework Assignmen 3 Due 4/6/1 v e v e A s ds: a) Show ha for large 1 and, (i.e. 1 >> and >>) he velociy auocorrelaion funcion 1)

Διαβάστε περισσότερα

Managing Production-Inventory Systems with Scarce Resources

Managing Production-Inventory Systems with Scarce Resources Managing Producion-Invenory Sysems wih Scarce Resources Online Supplemen Proof of Lemma 1: Consider he following dynamic program: where ḡ (x, z) = max { cy + E f (y, z, D)}, (7) x y min(x+u,z) f (y, z,

Διαβάστε περισσότερα

The choice of an optimal LCSCR contract involves the choice of an x L. such that the supplier chooses the LCS option when x xl

The choice of an optimal LCSCR contract involves the choice of an x L. such that the supplier chooses the LCS option when x xl EHNIA APPENDIX AMPANY SIMPE S SHARIN NRAS Proof of emma. he choice of an opimal SR conrac involves he choice of an such ha he supplier chooses he S opion hen and he R opion hen >. When he selecs he S opion

Διαβάστε περισσότερα

Jordan Journal of Mathematics and Statistics (JJMS) 4(2), 2011, pp

Jordan Journal of Mathematics and Statistics (JJMS) 4(2), 2011, pp Jordan Journal of Mathematics and Statistics (JJMS) 4(2), 2011, pp.115-126. α, β, γ ORTHOGONALITY ABDALLA TALLAFHA Abstract. Orthogonality in inner product spaces can be expresed using the notion of norms.

Διαβάστε περισσότερα

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R + Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

16. 17. r t te 2t i t 1. 18 19 Find the derivative of the vector function. 19. r t e t cos t i e t sin t j ln t k. 31 33 Evaluate the integral.

16. 17. r t te 2t i t 1. 18 19 Find the derivative of the vector function. 19. r t e t cos t i e t sin t j ln t k. 31 33 Evaluate the integral. SECTION.7 VECTOR FUNCTIONS AND SPACE CURVES.7 VECTOR FUNCTIONS AND SPACE CURVES A Click here for answers. S Click here for soluions. Copyrigh Cengage Learning. All righs reserved.. Find he domain of he

Διαβάστε περισσότερα

Math221: HW# 1 solutions

Math221: HW# 1 solutions Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin

Διαβάστε περισσότερα

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Partial Differential Equations in Biology The boundary element method. March 26, 2013 The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet

Διαβάστε περισσότερα

New bounds for spherical two-distance sets and equiangular lines

New bounds for spherical two-distance sets and equiangular lines New bounds for spherical two-distance sets and equiangular lines Michigan State University Oct 8-31, 016 Anhui University Definition If X = {x 1, x,, x N } S n 1 (unit sphere in R n ) and x i, x j = a

Διαβάστε περισσότερα

J. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8]

J. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8] Vol 36 ( 216 ) No 3 J of Mah (PR) 1, 2, 3 (1, 4335) (2, 4365) (3, 431) :,,,, : ; ; ; MR(21) : 35A1; 35A2 : O17529 : A : 255-7797(216)3-591-7 1 d d [x() g(, x )] = f(, x ),, (11) x = ϕ(), [ r, ], (12) x(

Διαβάστε περισσότερα

Online Appendix I. 1 1+r ]}, Bψ = {ψ : Y E A S S}, B W = +(1 s)[1 m (1,0) (b, e, a, ψ (0,a ) (e, a, s); q, ψ, W )]}, (29) exp( U(d,a ) (i, x; q)

Online Appendix I. 1 1+r ]}, Bψ = {ψ : Y E A S S}, B W = +(1 s)[1 m (1,0) (b, e, a, ψ (0,a ) (e, a, s); q, ψ, W )]}, (29) exp( U(d,a ) (i, x; q) Online Appendix I Appendix D Additional Existence Proofs Denote B q = {q : A E A S [0, +r ]}, Bψ = {ψ : Y E A S S}, B W = {W : I E A S R}. I slightly abuse the notation by defining B q (L q ) the subset

Διαβάστε περισσότερα

Solution Series 9. i=1 x i and i=1 x i.

Solution Series 9. i=1 x i and i=1 x i. Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x

Διαβάστε περισσότερα

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions International Journal of Computational Science and Mathematics. ISSN 0974-89 Volume, Number (00), pp. 67--75 International Research Publication House http://www.irphouse.com Coefficient Inequalities for

Διαβάστε περισσότερα

Problem Set 3: Solutions

Problem Set 3: Solutions CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C

Διαβάστε περισσότερα

Commutative Monoids in Intuitionistic Fuzzy Sets

Commutative Monoids in Intuitionistic Fuzzy Sets Commutative Monoids in Intuitionistic Fuzzy Sets S K Mala #1, Dr. MM Shanmugapriya *2 1 PhD Scholar in Mathematics, Karpagam University, Coimbatore, Tamilnadu- 641021 Assistant Professor of Mathematics,

Διαβάστε περισσότερα

F19MC2 Solutions 9 Complex Analysis

F19MC2 Solutions 9 Complex Analysis F9MC Solutions 9 Complex Analysis. (i) Let f(z) = eaz +z. Then f is ifferentiable except at z = ±i an so by Cauchy s Resiue Theorem e az z = πi[res(f,i)+res(f, i)]. +z C(,) Since + has zeros of orer at

Διαβάστε περισσότερα

A Simple Version of the Lucas Model

A Simple Version of the Lucas Model Aricle non publié May 11, 2007 A Simple Version of he Lucas Model Mazamba Tédie Absrac This discree-ime version of he Lucas model do no include he physical capial. We inregrae in he uiliy funcion he leisure

Διαβάστε περισσότερα

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p) Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

A Two-Sided Laplace Inversion Algorithm with Computable Error Bounds and Its Applications in Financial Engineering

A Two-Sided Laplace Inversion Algorithm with Computable Error Bounds and Its Applications in Financial Engineering Electronic Companion A Two-Sie Laplace Inversion Algorithm with Computable Error Bouns an Its Applications in Financial Engineering Ning Cai, S. G. Kou, Zongjian Liu HKUST an Columbia University Appenix

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

Some new generalized topologies via hereditary classes. Key Words:hereditary generalized topological space, A κ(h,µ)-sets, κµ -topology.

Some new generalized topologies via hereditary classes. Key Words:hereditary generalized topological space, A κ(h,µ)-sets, κµ -topology. Bol. Soc. Paran. Mat. (3s.) v. 30 2 (2012): 71 77. c SPM ISSN-2175-1188 on line ISSN-00378712 in press SPM: www.spm.uem.br/bspm doi:10.5269/bspm.v30i2.13793 Some new generalized topologies via hereditary

Διαβάστε περισσότερα

On the Galois Group of Linear Difference-Differential Equations

On the Galois Group of Linear Difference-Differential Equations On the Galois Group of Linear Difference-Differential Equations Ruyong Feng KLMM, Chinese Academy of Sciences, China Ruyong Feng (KLMM, CAS) Galois Group 1 / 19 Contents 1 Basic Notations and Concepts

Διαβάστε περισσότερα

Lecture 2. Soundness and completeness of propositional logic

Lecture 2. Soundness and completeness of propositional logic Lecture 2 Soundness and completeness of propositional logic February 9, 2004 1 Overview Review of natural deduction. Soundness and completeness. Semantics of propositional formulas. Soundness proof. Completeness

Διαβάστε περισσότερα

Multiple positive periodic solutions of nonlinear functional differential system with feedback control

Multiple positive periodic solutions of nonlinear functional differential system with feedback control J. Mah. Anal. Appl. 288 (23) 819 832 www.elsevier.com/locae/jmaa Muliple posiive periodic soluions of nonlinear funcional differenial sysem wih feedback conrol Ping Liu and Yongkun Li Deparmen of Mahemaics,

Διαβάστε περισσότερα

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1)

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1) Aenix Aenix A: The equaion o he sock rice. The soluion egins wih Eq..5 rom he ex, which we reea here or convenience as Eq.A.: [ [ E E X, A. c α where X u ε, α γ, an c α y AR. Take execaions o Eq. A. as

Διαβάστε περισσότερα

Lecture 21: Properties and robustness of LSE

Lecture 21: Properties and robustness of LSE Lecture 21: Properties and robustness of LSE BLUE: Robustness of LSE against normality We now study properties of l τ β and σ 2 under assumption A2, i.e., without the normality assumption on ε. From Theorem

Διαβάστε περισσότερα

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that

Διαβάστε περισσότερα

Almost all short intervals containing prime numbers

Almost all short intervals containing prime numbers ACTA ARITHMETICA LXXVI (6 Almos all shor inervals conaining prime nmbers by Chaoha Jia (Beijing Inrocion In 37, Cramér [] conjecred ha every inerval (n, n f(n log 2 n conains a prime for some f(n as n

Διαβάστε περισσότερα

F A S C I C U L I M A T H E M A T I C I

F A S C I C U L I M A T H E M A T I C I F A S C I C U L I M A T H E M A T I C I Nr 46 2011 C. Carpintero, N. Rajesh and E. Rosas ON A CLASS OF (γ, γ )-PREOPEN SETS IN A TOPOLOGICAL SPACE Abstract. In this paper we have introduced the concept

Διαβάστε περισσότερα

Integrals in cylindrical, spherical coordinates (Sect. 15.7)

Integrals in cylindrical, spherical coordinates (Sect. 15.7) Integrals in clindrical, spherical coordinates (Sect. 5.7 Integration in spherical coordinates. Review: Clindrical coordinates. Spherical coordinates in space. Triple integral in spherical coordinates.

Διαβάστε περισσότερα

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)

Διαβάστε περισσότερα

Concrete Mathematics Exercises from 30 September 2016

Concrete Mathematics Exercises from 30 September 2016 Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

GAUGES OF BAIRE CLASS ONE FUNCTIONS

GAUGES OF BAIRE CLASS ONE FUNCTIONS GAUGES OF BAIRE CLASS ONE FUNCTIONS ZULIJANTO ATOK, WEE-KEE TANG, AND DONGSHENG ZHAO Abstract. Let K be a compact metric space and f : K R be a bounded Baire class one function. We proved that for any

Διαβάστε περισσότερα

5. Choice under Uncertainty

5. Choice under Uncertainty 5. Choice under Uncertainty Daisuke Oyama Microeconomics I May 23, 2018 Formulations von Neumann-Morgenstern (1944/1947) X: Set of prizes Π: Set of probability distributions on X : Preference relation

Διαβάστε περισσότερα

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation DiracDelta Notations Traditional name Dirac delta function Traditional notation x Mathematica StandardForm notation DiracDeltax Primary definition 4.03.02.000.0 x Π lim ε ; x ε0 x 2 2 ε Specific values

Διαβάστε περισσότερα

Finite Field Problems: Solutions

Finite Field Problems: Solutions Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The

Διαβάστε περισσότερα

Tridiagonal matrices. Gérard MEURANT. October, 2008

Tridiagonal matrices. Gérard MEURANT. October, 2008 Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,

Διαβάστε περισσότερα

D Alembert s Solution to the Wave Equation

D Alembert s Solution to the Wave Equation D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique

Διαβάστε περισσότερα

Riemann Hypothesis: a GGC representation

Riemann Hypothesis: a GGC representation Riemann Hypohesis: a GGC represenaion Nicholas G. Polson Universiy of Chicago Augus 8, 8 Absrac A GGC Generalized Gamma Convoluion represenaion for Riemann s reciprocal ξ-funcion is consruced. This provides

Διαβάστε περισσότερα

Bounding Nonsplitting Enumeration Degrees

Bounding Nonsplitting Enumeration Degrees Bounding Nonsplitting Enumeration Degrees Thomas F. Kent Andrea Sorbi Università degli Studi di Siena Italia July 18, 2007 Goal: Introduce a form of Σ 0 2-permitting for the enumeration degrees. Till now,

Διαβάστε περισσότερα

Homomorphism of Intuitionistic Fuzzy Groups

Homomorphism of Intuitionistic Fuzzy Groups International Mathematical Forum, Vol. 6, 20, no. 64, 369-378 Homomorphism o Intuitionistic Fuzz Groups P. K. Sharma Department o Mathematics, D..V. College Jalandhar Cit, Punjab, India pksharma@davjalandhar.com

Διαβάστε περισσότερα

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation Overview Transition Semantics Configurations and the transition relation Executions and computation Inference rules for small-step structural operational semantics for the simple imperative language Transition

Διαβάστε περισσότερα

PROPERTIES OF CERTAIN INTEGRAL OPERATORS. a n z n (1.1)

PROPERTIES OF CERTAIN INTEGRAL OPERATORS. a n z n (1.1) GEORGIAN MATHEMATICAL JOURNAL: Vol. 2, No. 5, 995, 535-545 PROPERTIES OF CERTAIN INTEGRAL OPERATORS SHIGEYOSHI OWA Abstract. Two integral operators P α and Q α for analytic functions in the open unit disk

Διαβάστε περισσότερα

Geodesic Equations for the Wormhole Metric

Geodesic Equations for the Wormhole Metric Geodesic Equations for the Wormhole Metric Dr R Herman Physics & Physical Oceanography, UNCW February 14, 2018 The Wormhole Metric Morris and Thorne wormhole metric: [M S Morris, K S Thorne, Wormholes

Διαβάστε περισσότερα

The Probabilistic Method - Probabilistic Techniques. Lecture 7: The Janson Inequality

The Probabilistic Method - Probabilistic Techniques. Lecture 7: The Janson Inequality The Probabilistic Method - Probabilistic Techniques Lecture 7: The Janson Inequality Sotiris Nikoletseas Associate Professor Computer Engineering and Informatics Department 2014-2015 Sotiris Nikoletseas,

Διαβάστε περισσότερα

Homomorphism in Intuitionistic Fuzzy Automata

Homomorphism in Intuitionistic Fuzzy Automata International Journal of Fuzzy Mathematics Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 39-45 Research India Publications http://www.ripublication.com/ijfms.htm Homomorphism in Intuitionistic

Διαβάστε περισσότερα

Iterated trilinear fourier integrals with arbitrary symbols

Iterated trilinear fourier integrals with arbitrary symbols Cornell University ICM 04, Satellite Conference in Harmonic Analysis, Chosun University, Gwangju, Korea August 6, 04 Motivation the Coifman-Meyer theorem with classical paraproduct(979) B(f, f )(x) :=

Διαβάστε περισσότερα

Approximation of the Lerch zeta-function

Approximation of the Lerch zeta-function Approximaion of he Lerch zea-funcion Ramūna Garunkši Deparmen of Mahemaic and Informaic Vilniu Univeriy Naugarduko 4 035 Vilniu Lihuania ramunagarunki@mafvul Abrac We conider uniform in parameer approximaion

Διαβάστε περισσότερα

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2 ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =

Διαβάστε περισσότερα

Theorem 8 Let φ be the most powerful size α test of H

Theorem 8 Let φ be the most powerful size α test of H Testing composite hypotheses Θ = Θ 0 Θ c 0 H 0 : θ Θ 0 H 1 : θ Θ c 0 Definition 16 A test φ is a uniformly most powerful (UMP) level α test for H 0 vs. H 1 if φ has level α and for any other level α test

Διαβάστε περισσότερα

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018 Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

( y) Partial Differential Equations

( y) Partial Differential Equations Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate

Διαβάστε περισσότερα

Parametrized Surfaces

Parametrized Surfaces Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some

Διαβάστε περισσότερα

b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds!

b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds! MTH U341 urface Integrals, tokes theorem, the divergence theorem To be turned in Wed., Dec. 1. 1. Let be the sphere of radius a, x 2 + y 2 + z 2 a 2. a. Use spherical coordinates (with ρ a) to parametrize.

Διαβάστε περισσότερα

On New Subclasses of Analytic Functions with Respect to Conjugate and Symmetric Conjugate Points

On New Subclasses of Analytic Functions with Respect to Conjugate and Symmetric Conjugate Points Global Journal of Pure Applied Mathematics. ISSN 0973-768 Volume, Number 3 06, pp. 849 865 Research India Publications http://www.ripublication.com/gjpam.htm On New Subclasses of Analytic Functions with

Διαβάστε περισσότερα

Congruence Classes of Invertible Matrices of Order 3 over F 2

Congruence Classes of Invertible Matrices of Order 3 over F 2 International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and

Διαβάστε περισσότερα

w o = R 1 p. (1) R = p =. = 1

w o = R 1 p. (1) R = p =. = 1 Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 205 ιδάσκων : Α. Μουχτάρης Τριτη Σειρά Ασκήσεων Λύσεις Ασκηση 3. 5.2 (a) From the Wiener-Hopf equation we have:

Διαβάστε περισσότερα

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We

Διαβάστε περισσότερα

Space-Time Symmetries

Space-Time Symmetries Chapter Space-Time Symmetries In classical fiel theory any continuous symmetry of the action generates a conserve current by Noether's proceure. If the Lagrangian is not invariant but only shifts by a

Διαβάστε περισσότερα

Strain gauge and rosettes

Strain gauge and rosettes Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified

Διαβάστε περισσότερα