ANALYTIC PROOF OF THE PRIME NUMBER THEOREM
|
|
|
- Baldric Golden
- 9 years ago
- Views:
Transcription
1 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM RYAN SMITH, YUAN TIAN Conens Arihmeical Funcions Equivalen Forms of he Prime Number Theorem 3 3 The Relaionshi Beween Two Asymoic Relaions 6 4 Dirichle Series and Euler Producs 7 5 Conour Inegral Reresenaion of ψ )/ 9 6 ζs) near and on he Line σ = 7 Comleion of he Proof of he Prime Number Theorem 6 References 8 Le πn) be he rime couning funcion, ha is, he funcion ha gives he number of rimes less han or equal o n The analyic roof of he rime number heorem can hen be summarized as follows: ψ ) πn) log n as ψ) as lim = n n where ψ ) = Λn) = ψ)d, ψ) = n Λn) and We firs rove he las ar, namely { log if n = m for some rime and some m, 0 oherwise πn) log n ) ψ) as lim = n n Arihmeical Funcions We begin by defining arihmeical funcions Definiion A real- or comle-valued funcion defined on he osiive inegers is called an arihmeical funcion or a number-heoreic funcion The funcions πn) and Λn) referred o above are eamles of arihmeical funcions We now formally define he funcions Λn) and ψn) Definiion Mangold funcion) For every ineger n we define { log if n = m for some rime and some m, Λn) = 0 oherwise
2 SMITH & TIAN Definiion Chebyshev s ψ-funcion) For > 0 we define Chebyshev s ψ-funcion by he formula ψ) = n Λn) The following heorem will be useful laer in our roof of he heorem Theorem Abel s ideniy) For any arihmeical funcion an) le A) = n an) where A) = 0 if < Assume f has a coninuous derivaive on he inerval [y, ], where 0 < y < Then y ) an)fn) = A)f) Ay)fy) A)f )d y<n Proof Le k = [] and m = [y], so ha A) = Ak) and Ay) = Am) Then k k an)fn) = an)fn) = {An) An )} fn) y<n Now, observe ha = = = = n=m+ k n=m+ k n=m+ k An)fn) n=m+ k n=m An)fn + ) An) {fn) fn + )} + Ak)fk) Am)fm + ) An) n=m+ n k n+ n=m+ n n+ f )d + Ak)fk) Am)fm + ) A)f )d + Ak)fk) Am)fm + ) Ak)fk) = Ak)fk) + Ak)f) Ak)f) = A)f) A) f) fk)) Similarly, = A)f) A) y<n k f )d = A)f) Am)fm + ) = Ay)fy) + m+ y k A)f )d k an)fn) = A)f )d + A)f) m+ Ay)fy) m+ =A)f) Ay)fy) y A)f )d y A)f )d k A)f )d A)f )d Now we inroduce anoher arihmeical funcion which we will use in he roof
3 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM 3 Definiion Chebyshev s ϑ-funcion) If > 0 we define Chebyshev s ϑ-funcion by he equaion ϑ) = log, where runs over all rimes less han or equal o Also if > 0 we le π) denoe he number of rimes no eceeding We will now eamine he relaionshi beween ϑ) and π) Theorem For we have 3) ϑ) = π) log and 4) π) = ϑ) log + π) d ϑ) log d Proof Le an) denoe he characerisic funcion of he rimes; ha is { if n is rime, an) = 0 oherwise Then we have π) = = <n an), ϑ) = n log = <n an) log n Now we ake f) = log wih y = in Abel s ideniy in Theorem o ge ϑ) = n log = <n which roves 3) since π) = 0 for < Ne, le bn) = an) log n and wrie an) log n = π) log π) log π) d, π) = 3/<n bn) log n, ϑ) = n bn) Takeing f) = / log wih y = 3/ in Abel s ideniy we obain π) = ϑ) log ϑ3/) log 3/ + which roves 4) since ϑ) = 0 if < 3/ ϑ) log d, Equivalen Forms of he Prime Number Theorem We will now show some equivalen forms of he rime number heorem Before acually showing hese equivalencies, we will firs inroduce a new noaion
4 4 SMITH & TIAN Definiion The big oh noaion) If g) > 0 for all a, we wrie f) = O g)) read: f) is big oh of g) ) o mean ha he quoien f)/g) is bounded for a; ha is, here eiss a consan M > 0 such ha An equaion of he form f) Mg) for all a f) = h) + O g)) means ha f) h) = O g)) We noe ha f) = O g)) for a imlies ) f)d = O g)d for all a a a Theorem 3 The following relaions are logically equivalen: π) log 5) lim = ϑ) 6) lim = ψ) 7) lim = Proof We show his by firs roving ha 5) and 6) are equivalen and hen ha 6) and 7) are equivalen Recall equaions 3) and 4) - from hese we obain, resecively and ϑ) π) log = π) d π) log = ϑ) + log ϑ) log d To show ha 5) imlies 6) we need only show ha 5) imlies Bu 5) imlies π) Now lim ) = O log for so π) d = O π) d = 0 ) d log d log = d log + d log d log + log + log log + log so This shows ha 5) imlies 6) d 0 as log d log
5 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM 5 To show ha 6) imlies 5) we need only show ha 6) imlies log ϑ) lim log d = 0 Bu 6) imlies ϑ) = O) so Now hence log d log = log ϑ) log log d = O d log + d log d log d log 0 as ) log + log This roves ha 6) imlies 5), so 5) and 6) are equivalen To show ha 6) and 7) are equivalen, we firs noice ha 8) ψ) = m log ϑ /m ) Hence we have ψ) ϑ) = ϑ /m ) 0 m log Bu from he definiion of ϑ) we have he rivial inequaliy ϑ) log log so 0 ψ) ϑ) m log = log log /m log /m ) log ) log log = log log Now we divide all erms in he inequaliy by o obain 9) 0 ψ) ϑ) log log Bu 9) imlies ha ψ) lim ϑ) ) = 0 which imlies ha 6) and 7) are equivalen
6 6 SMITH & TIAN 3 The Relaionshi Beween Two Asymoic Relaions Now we will show ha he asymoic relaion 0) ψ ) as imlies he asymoic relaion ψ) as We will laer show why 0) is rue using roeries of he Riemann zea funcion We sar wih roving he following lemma Lemma For any arihmeical funcion an) le An) = n an), where A) = 0 if < Then ) n)an) = n A)d Proof We aly Abel s ideniy Theorem ) wih y = o obain ) an)fn) = A)f) A)f )d n if f has a coninuous derivaive on [, ] Taking f) = we have n an)fn) = n nan) and A)f) = n so ) reduces o ) Lemma Le A) = n an) and le A ) = an) 0 for all n If we have he asymoic formula 3) A ) L c as for some c > 0 and L > 0, hen we also have 4) A) cl c as In oher words, formal differeniaion of 3) gives a correc resul an) A)d Assume also ha Proof The funcion A) is increasing since he an) are nonnegaive Choose any β > and consider he difference A β) A ) We have This gives us or A β) A ) = βu u Au)du βu A)du = A)β ) A) β {A β) A )} A) c { A β) β β) c βc A } ) c
7 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM 7 Kee β fied and le in his inequaliy By 3) we find lim sua) c β Lβc L) = L βc β Now le β + The quoien on he righ is he difference quoien for he derivaive of c a = and has he limi c Therefore A) 5) lim su cl c Now we consider any α wih 0 < α < and consider he difference A ) A α) An argumen similar o he above shows ha lim A) αc inf L c α As α he righ member ends o cl This, ogeher wih 5) shows ha A)/ c ends o cl as When an) = Λn), an) 0 holds and we have A) = ψ) and A ) = ψ ) Therefore, we can aly Lemma and Lemma o obain: Theorem 4 6) ψ ) = n n)λn) Also, he asymoic relaion ψ ) / imlies ψ) as 4 Dirichle Series and Euler Producs In his secion, we will inroduce some basic ideas in Dirichle series and Euler roducs which we will use laer in our roof of he rime number heorem A Dirichle series is a series of he form fn) n s n= where fn) is an arihmeical funcion We call he fn) he coefficiens of he corresonding Dirichle series We inroduce he Riemann zea funcion here as an eamle of a dirichle series Definiion Riemann zea funcion) For any s C, we define ζs) = n s We will now rove a coule of lemmas n= Lemma 3 Le s 0 = σ 0 + i 0 and assume ha he Dirichle series fn)n s0 has bounded arial sums, say fn) n s0 M n
8 8 SMITH & TIAN for all Then for each s wih σ > σ 0 we have 7) fn) n s Maσ0 σ + s s ) 0 σ σ 0 a<n b Proof Le an) = fn)n s0 and le An) = n an) Then fn)n s0 = an)n s0 s so we can aly Theorem wih f) = s0 s ) o obain a<n b fn) n s = Ab)b s0 s Aa)a s0 s + s s 0 ) b a A) s0 s d Since A) M his gives us fn) b n s a<n b Mbσ0 σ + Ma σ0 σ + s s 0 M σ0 σ d a Ma σ0 σ b σ0 σ aσ 0 σ + s s 0 M σ 0 σ Ma σ0 σ + s s ) 0 δ δ 0 Lemma 4 Le {f n } be a sequence of funcions analyic on an oen subse S of he comle lane, and assume ha {f n } converges uniformly on every comac subse of S o a limi funcion f Then f is analyic on S and he sequence of derivaives {f n} converges uniformly on every comac subse of S o he derivaive f Proof Since f n is analyic on S we have Cauchy s inegral formula f n a) = f n z) πi z a dz where D is any comac disk in S, D is is osiively oriened boundary, and a is any inerior oin of D Because of uniform convergence we can ass o he limi under he inegral sign and obain fa) = πi D D fz) z a dz which imlies ha f is analyic inside D For he derivaive we have f na) = πi D f n z) z a) dz and f a) = πi D fz) z a) dz from which i follows easily ha f na) f a) uniformly on every comac subse of S as n Now we are ready o rove he following heorems Theorem 5 A Dirichle series fn)n s converges uniformly on every comac subse lying inerior o he half-lane of convergence σ > σ 0
9 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM 9 Proof I suffices o show ha fn)n s converges uniformly on every comac recangle R = [α, β] [c, d] wih α in he half-lane of convergence he half-lane of convergence is simly he half-lane in which he series converges) To do his we use he esimae obained in Lemma 3 8) a<n b fn) n s Maσ0 σ + s s ) 0 σ σ 0 where s 0 = σ 0 + i 0 is any oin in he half-lane where of convergence We choose s 0 = σ 0 where σ 0 < α Then if s C we have σ σ 0 α σ 0 and s 0 s < C, where C is a consan deending on s 0 and R bu no on s Then 8) imlies a<n b fn) n s Maσ0 σ + C ) = Ba σ0 σ α α 0 where B is indeenden of s Since a σ0 α 0 as a + he Cauchy condiion for uniform convergence is saisfied Theorem 6 The sum funcion F s) = fn)n s of a Dirichle series is analyic in is half-lane of convergence, and is derivaive F s) is reresened in his halflane by he Dirichle series 9) F s) = obained by differeniaing erm by erm n= fn) log n n s, Proof We aly Theorem 5 and Lemma 4 o he sequence of arial sum We now aly he revious heorem o ζs) Differeniaing ζs) erm by erm and summing over all n will give us ζ log n s) = n s n= Alying Theorem 6 o ζs) and ζ s) will give us 0) ζ s) ζs) = n= Λn) n s 5 Conour Inegral Reresenaion of ψ )/ Our ne goal is o rove he asymoic relaion in 0) by reresening ψ )/ as a conour inegral For he conour inegral reresenaion of ψ )/, we need some knowledge abou he gamma funcion Γs) defined as ) Γs) = 0 s e d for s = σ + i where σ > 0 A aricularly useful roery of Γs) is given by he following funcional equaion: ) Γs + ) = sγs)
10 0 SMITH & TIAN Anoher useful roery of he gamma funcion is ha he gamma funcion has simle oles a non-osiive inegers wih residue ) n /n! a n Wih hese observaions, we can now roceed o rove he following lemma Lemma 5 If c > 0 and u > 0, hen for every ineger k we have c+ i u z πi zz + ) z + k) dz = k! u)k if 0 < u, 0 if u >, he inegral being absoluely convergen Proof Firs we noe ha he inegrand is equal o u z Γz)/Γz + k + ) This follows by reeaed use of he funcional equaion in ) To rove he lemma we aly Cauchy s residue heorem o he inegral πi CR) u z Γz) Γz + k + ) dz, where CR) is he conour shown in he following grah a) if 0 < u and b) if u > The radius R of he circle is greaer han k + c so ha all he oles a z = 0,,, k lie inside he circle k R c R a) 0 < u b) u > Now we show ha he inegral along each of he circular arcs ends o 0 as R If z = + iy and z = R he inegrand is dominaed by u z zz + ) z + k) = u z z + z + k u c R z + z + k The inequaliy u u c follows from he fac ha u is an increasing funcion of if 0 < u and a decreasing funcion if u > Now if n k we have c z + n z n = R n R k R since R > k Therefore he inegral along each circular arc is dominaed by πru c R R) k = O R k ) and his ends o 0 as R since k
11 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM If u > he inegrand is analyic inside CR) hence C R) = 0 Leing R we find ha he lemma is roved in his case If 0 < u we evaluae he inegral around CR) by Cauchy s residue heorem The inegrand has oles a he inegers n = 0,,, k, hence u z Γz) πi CR) Γz + k + ) dz = = k Res z= n n=0 k n=0 = k! Leing R we obain he lemma u z Γz) Γz + k + ) u n Γk + n) Res z= n Γz) = k n=0 k ) u) n = n u)k k! Now we are ready o reresen ψ )/ as a conour inegral Theorem 7 If c > and we have 3) ψ ) = πi c+ i s ss + ) ) ζ s) ds ζs) k n=0 u n ) n k n)!n! Proof From 6) we have ψ )/ = n n/)λn) Now use Lemma 5 wih k = and u = n/ If n we obain n = πi c+ i /n) s ss + ) ds Mulilying his relaion by Λn) and summing over all n we find ψ ) = n c+ i Λn)/n) s ds = πi ss + ) n= since he inegral vanishes if n > This can be wrien as 4) ψ ) = n= c+ i c+ i Λn)/n) s ds πi ss + ) f n s) ds, where f n s) = πi Λn)/n)s ss + ) Ne we wish o inerchange he sum and inegral in 4) For his i suffices o rove ha he series 5) n= c+ i f n s) ds is convergen The arial sums of his series saisfy he inequaliy N n= c+ i Λn)/n) c s s + ds = N n= Λn) n c c+ i c s s + ds A n= Λn) n c,
12 SMITH & TIAN where A is a consan, so 5) converges Hence we can inerchange he sum and inegral in 4) o obain ψ ) c+ i = f n s) ds = c+ i s Λn) πi n= ss + ) n s ds n= = c+ i s ) ζ s) ds πi ss + ) ζs) by 0) Now divide by o obain 3) Theorem 8 If c > and we have ψ ) 6) ) = πi where 7) hs) = c+ i s hs) ds, ζ s) ss + ) ζs) ) s Proof This ime we use Lemma 5 wih k = o ge ) = c+ i s πi ss + )s + ) ds, where c > 0 Relace s by s in he inegral keeing c > ) and subrac he resul from 3) o obain Theorem 8 Subsiuing s wih c + i will yield which convers 7) ino 8) ψ ) s = c i = c i log e ) = c c+ i hc + i)e i log d Our ne ask is o show ha he righ member in 8) ends o 0 as We wan o firs show ha we can simly u c = in 8) For his we need o sudy ζs) in he neighborhood of he line σ = 6 ζs) near and on he Line σ = In his secion, we will base our work on he following wo facs We will no rove hese facs, alhough he roofs can be easily found in books on analyic number heory, comle analysis, or Fourier series see references) Firs of all, for all s = σ + i wih σ > 0, we have 9) ζs) = N n= n s s N [] s+ s N d + s Differeniaing each member of 9) will give us he second fac ha N ζ log n []) log [] s) = n s + s n= N s+ d N s+ d 30) N s log N N s s s )
13 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM 3 Now we are ready o obain uer bounds for ζs) and ζ s) Theorem 9 For every A > 0 here eiss a consan M deending on A) such ha 3) ζs) M log and ζ s) M log for all s wih σ / saisfying 3) σ > A log and e Proof If σ we have ζs) ζ) and ζ s) ζ ) and he inequaliies in 3) are rivially saisfied Therefore we can assume σ < and e We have s σ + + < and s so / s / Esimaing ζs) by using 9) we find ζs) N n= σ n σ + N d + N σ+ = N n= n σ + σn σ + N σ Now we make N deend on by aking N = [] Then N < N + and log n log if n N The inequaliy 3) imlies σ < A/ log so n σ = n σ n = n e σ) log n < n ea log n/ log ) n ea = O n σn σ N + N = O) and N σ ζs) = O N n= = N ) N σ O = O), N ) + O) = Olog N) + O) = Olog ) n This roves he inequaliy for ζs) in 3) To obain he inequaliy for ζ s) we aly he same ye of argumen o 30) The only essenial difference is ha an era facor log N aears on he righ Bu log N = Olog ) so we ge ζ s) = Olog ) in he secified region Theorem 0 If σ > we have 33) ζ 3 σ) ζσ + i) 4 ζσ + i) Proof Using he Euler roduc sanning over all rimes and he Taylor series eansion of log, we ge { } { ζs) = e log n s = e log } { } ks = e log / s n= k=0 { = e log ) } { } s = e m ms m=
14 4 SMITH & TIAN ζσ + i) = e = e = e { { { m mσ+i) m= m= e m= im m σ } { } = e m mσ im m= } { } log im e = e im log m mσ ζ 3 σ) = e ζσ + i) 4 = e ζσ + i) = e } { { { Since m mσ > 0, i suffices o show ha = e m= m= m= m= { } 3 m mσ m mσ m= 4 cosm log ) m mσ cosm log ) m mσ cosm log ) + cosm log ) 0 cosm log ) m mσ cosm log ) + cosm log ) = cos m log ) + 4 cosm log ) + Hence he heorem is roved Theorem R, ζ + i) 0 } } = cosm log ) + ) 0 Proof We only need o consider 0 Rewrie he revious heorem by dividing boh sides by σ 4 34) {σ )ζσ)} 3 ζσ + i) σ ) ζσ + i) σ This is valid if σ > Now le σ + in 34) The firs facor aroaches since ζs) has residue a he ole s = The hird facor ends o ζ + i) If ζ + i) were equal o 0, he middle facor could be wrien as ζσ + i) ζ + i) σ 4 ζ + i) 4 as σ + Therefore, if for some 0 we had ζ + i) = 0, he lef member of 34) would aroach he limi ζ + i) 4 ζ + i) as σ + Bu he righ member ends o as σ + and his gives a conradicion Theorem There is a consan M > 0 such ha ζs) < M log7 whenever σ and e and ζ s) ζs) < M log9 }
15 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM 5 Proof For σ we have ζs) = and by 0) we have n= µn) n s ζ s) ζs) = n= n= Λn) n, n ζ) so he inequaliies hold rivially if σ Suose, hen, ha σ and e Rewrie Theorem 0 by dividing boh sides by ζσ + i) and ake he fourh roo of boh sides ζσ + i) ζσ)3/4 ζσ + i) /4 Now σ )ζσ) is bounded by, say, M in he inerval σ, where M is an absolue consan ζσ) M if < σ σ Also, ζσ + i) = Olog ) if σ by Theorem 9 So for < σ we have ζσ + i) M 3/4 log ) /4 Alog )/4 = σ ) 3/4 σ ), 3/4 where A is an absolue consan Therefore for some consan B > 0 we have 35) ζσ + i) > Bσ )3/4 log ) /4, if < σ and e This also holds rivially for σ = Le α be any number saisfying < α < Then if σ α, e, we may use Theorem 9 o wrie ζσ + i) ζα + i) α Hence, by he riangle inequaliy, ζσ + i) ζα + i) ζσ + i) ζα + i) σ ζ u + i) du α σ)m log α )M log ζα + i) α )M log Bα )3/4 log ) /4 α )M log This holds if σ α, and by 35) i also holds for α σ since σ ) 3/4 α ) 3/4 In oher words, if σ and e we have he inequaliy ζσ + i) Bα)3/4 log ) /4 α )M log for any α, ) Now we make α deend on and choose α so ha he firs erm on he righ is wice he second This requires ) 4 B α = + M log ) 9 Clearly α > and also α < if 0 for some 0 Thus, if 0 and σ we have ζσ + i) α )M log = C log ) 7
16 6 SMITH & TIAN This inequaliy also holds wih erhas) a differen C if e 0 This roves ha ζs) C log 7 for all σ, e, giving us a corresonding uer bound for /ζs) To ge he inequaliy for ζ s)/ζs) we aly Theorem 9 and obain an era facor of log Now we are ready o finish he analyic roof of he rime number heorem, which we do by roving ha he asymoic relaion in 0) holds We sar by roving he following lemma 7 Comleion of he Proof of he Prime Number Theorem Lemma 6 If fs) has a ole of order k a s = α hen he quoien f s)/fs) has a firs order ole a s = α wih residue k Proof We have fs) = gs)/s α) k, where g is analyic a α and gα) 0 Hence for all s in a neighborhood of α we have f s) = g s) s α) k kgs) { } gs) k = s α) k+ s α) k s α + g s) gs) f s) fs) = k s α + g s) gs) This roves he lemma since g s)/gs) is analyic a α Theorem 3 The funcion is analyic a s = F s) = ζ s) ζs) s Proof By Lemma 6, ζ s)/ζs) has a firs order ole a wih residue, as does /s ) Hence heir difference is analyic a s = The final ar of he roof makes use of he Riemann-Lebesgue lemma from Fourier analysis, which we do no rove here I saes ha if f) d converges, hen lim r herefore, so oo does lim r f) sin r d = 0 and lim r f)e ir d = 0 Theorem 4 For we have ψ ) ) = π where he inegral lemma we have 36) ψ ) f) cos r d = 0 hold, and h + i)e i log d, h+i) d converges Therefore, by he Riemann-Lebesgue and hence ψ) as
17 ANALYTIC PROOF OF THE PRIME NUMBER THEOREM 7 Proof In Theorem 8 we roved ha if c > and we have ψ ) ) = c+ i s hs) ds, πi where ζ s) hs) = ss + ) ζs) s Our firs ask is o show ha we can move he ah of inegraion o he line σ = To do his we aly Cauchy s heorem o he recangle R shown below ) T 0 c σ T The inegral of s hs) around R is 0 since he inegrand is analyic inside and on R Now we show ha he inegrals along he horizonal segmens end o 0 as T Since he inegrand has he same absolue value a conjugae oins, i suffices o consider only he uer segmen, = T On his segmen, we have he esimaes ss + ) T and ss + )s ) T 3 T Also, here is a consan M such ha ζ s)/ζs) M log 9 if σ and e Hence if T e we have hs) M log9 T T so ha c c s hs) ds c M log9 T T dσ = M c log9 T T c )
18 8 SMITH & TIAN Therefore he inegrals along he horizonal segmens end o 0 as T, and hence we have c+ i s hs) ds = + i i On he line σ = we wrie s = + i o obain πi Now we noe ha For so e e inegral h + i) d = + i i e e h + i) d we have s hs) ds = π h + i) d + h + i) d converges Similarly, e h + i) M log9 e s hs) ds h + i)e i log d h + i) d + e h + i) d h + i) d converges, so he enire h+i) d converges By he Riemann-Lebesgue lemma, his imlies ha lim h + i)e i log d = 0 This gives us he asymoic relaion: ψ ) ψ) as Hence he rime number heorem is roved References [] Aosol, T M, Inroducion o Analyic Number Theory, Sringer-Verlag, New York, 976 [] Brown, J W, Churchill, R V, Fourier Series and Boundary Value Problems, McGraw-Hill, Columbus, OH, 000 [3] Conway, J B, Funcions of One Comle Variable, Sringer, New York, 986
Lectures # 5 and 6: The Prime Number Theorem.
Lecures # 5 and 6: The Prime Number Theorem Noah Snyder July 8, 22 Riemann s Argumen Riemann used his analyically coninued ζ-funcion o skech an argumen which would give an acual formula for π( and sugges
Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.
Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa
The Transport Equation
The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be
17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides
7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion
AP Calculus BC 2010 Scoring Guidelines
AP Calculus BC Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in, he College Board
Economics Honors Exam 2008 Solutions Question 5
Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I
MTH6121 Introduction to Mathematical Finance Lesson 5
26 MTH6121 Inroducion o Mahemaical Finance Lesson 5 Conens 2.3 Brownian moion wih drif........................... 27 2.4 Geomeric Brownian moion........................... 28 2.5 Convergence of random
PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test
Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics PRESSURE BUILDUP I is difficul o kee he rae consan in a roducing well. This is no an issue in a buildu es since he well is closed.
Stochastic Optimal Control Problem for Life Insurance
Sochasic Opimal Conrol Problem for Life Insurance s. Basukh 1, D. Nyamsuren 2 1 Deparmen of Economics and Economerics, Insiue of Finance and Economics, Ulaanbaaar, Mongolia 2 School of Mahemaics, Mongolian
Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary
Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes
2.5 Life tables, force of mortality and standard life insurance products
Soluions 5 BS4a Acuarial Science Oford MT 212 33 2.5 Life ables, force of moraliy and sandard life insurance producs 1. (i) n m q represens he probabiliy of deah of a life currenly aged beween ages + n
On the degrees of irreducible factors of higher order Bernoulli polynomials
ACTA ARITHMETICA LXII.4 (1992 On he degrees of irreducible facors of higher order Bernoulli polynomials by Arnold Adelberg (Grinnell, Ia. 1. Inroducion. In his paper, we generalize he curren resuls on
cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)
Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer
Chapter 7. Response of First-Order RL and RC Circuits
Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural
AP Calculus AB 2007 Scoring Guidelines
AP Calculus AB 7 Scoring Guidelines The College Board: Connecing Sudens o College Success The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and
WHAT ARE OPTION CONTRACTS?
WHAT ARE OTION CONTRACTS? By rof. Ashok anekar An oion conrac is a derivaive which gives he righ o he holder of he conrac o do 'Somehing' bu wihou he obligaion o do ha 'Somehing'. The 'Somehing' can be
AP Calculus AB 2010 Scoring Guidelines
AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in 1, he College
Fourier Series & The Fourier Transform
Fourier Series & The Fourier Transform Wha is he Fourier Transform? Fourier Cosine Series for even funcions and Sine Series for odd funcions The coninuous limi: he Fourier ransform (and is inverse) The
Improper Integrals. Dr. Philippe B. laval Kennesaw State University. September 19, 2005. f (x) dx over a finite interval [a, b].
Improper Inegrls Dr. Philippe B. lvl Kennesw Se Universiy Sepember 9, 25 Absrc Noes on improper inegrls. Improper Inegrls. Inroducion In Clculus II, sudens defined he inegrl f (x) over finie inervl [,
AP Calculus AB 2013 Scoring Guidelines
AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a mission-driven no-for-profi organizaion ha connecs sudens o college success and opporuniy. Founded in 19, he College Board was
Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)
Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions
Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations.
Differenial Equaions Linear sysems are ofen described using differenial equaions. For example: d 2 y d 2 + 5dy + 6y f() d where f() is he inpu o he sysem and y() is he oupu. We know how o solve for y given
Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.
Graduae School of Business Adminisraion Universiy of Virginia UVA-F-38 Duraion and Convexiy he price of a bond is a funcion of he promised paymens and he marke required rae of reurn. Since he promised
Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow.
Whies, EE 481 Lecure 2 Page 1 of 13 Lecure 2: Telegraher Equaions For Transmission Lines. Power Flow. Microsri is one mehod for making elecrical connecions in a microwae circui. I is consruced wih a ground
= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process,
Chaper 19 The Black-Scholes-Vasicek Model The Black-Scholes-Vasicek model is given by a sandard ime-dependen Black-Scholes model for he sock price process S, wih ime-dependen bu deerminisic volailiy σ
CHAPTER FIVE. Solutions for Section 5.1
CHAPTER FIVE 5. SOLUTIONS 87 Soluions for Secion 5.. (a) The velociy is 3 miles/hour for he firs hours, 4 miles/hour for he ne / hour, and miles/hour for he las 4 hours. The enire rip lass + / + 4 = 6.5
1 HALF-LIFE EQUATIONS
R.L. Hanna Page HALF-LIFE EQUATIONS The basic equaion ; he saring poin ; : wrien for ime: x / where fracion of original maerial and / number of half-lives, and / log / o calculae he age (# ears): age (half-life)
Answer, Key Homework 2 David McIntyre 45123 Mar 25, 2004 1
Answer, Key Homework 2 Daid McInyre 4123 Mar 2, 2004 1 This prin-ou should hae 1 quesions. Muliple-choice quesions may coninue on he ne column or page find all choices before making your selecion. The
Differential Equations and Linear Superposition
Differenial Equaions and Linear Superposiion Basic Idea: Provide soluion in closed form Like Inegraion, no general soluions in closed form Order of equaion: highes derivaive in equaion e.g. dy d dy 2 y
4 Convolution. Recommended Problems. x2[n] 1 2[n]
4 Convoluion Recommended Problems P4.1 This problem is a simple example of he use of superposiion. Suppose ha a discree-ime linear sysem has oupus y[n] for he given inpus x[n] as shown in Figure P4.1-1.
Signal Processing and Linear Systems I
Sanford Universiy Summer 214-215 Signal Processing and Linear Sysems I Lecure 5: Time Domain Analysis of Coninuous Time Sysems June 3, 215 EE12A:Signal Processing and Linear Sysems I; Summer 14-15, Gibbons
Working Paper On the timing option in a futures contract. SSE/EFI Working Paper Series in Economics and Finance, No. 619
econsor www.econsor.eu Der Open-Access-Publikaionsserver der ZBW Leibniz-Informaionszenrum Wirschaf The Open Access Publicaion Server of he ZBW Leibniz Informaion Cenre for Economics Biagini, Francesca;
Lecture 21 and 22: The Prime Number Theorem
Lecture and : The Prime Number Theorem (New lecture, not in Tet) The location of rime numbers is a central question in number theory. Around 88, Legendre offered eerimental evidence that the number π()
Second Order Linear Differential Equations
Second Order Linear Differenial Equaions Second order linear equaions wih consan coefficiens; Fundamenal soluions; Wronskian; Exisence and Uniqueness of soluions; he characerisic equaion; soluions of homogeneous
PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE
Profi Tes Modelling in Life Assurance Using Spreadshees PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Erik Alm Peer Millingon 2004 Profi Tes Modelling in Life Assurance Using Spreadshees
The option pricing framework
Chaper 2 The opion pricing framework The opion markes based on swap raes or he LIBOR have become he larges fixed income markes, and caps (floors) and swapions are he mos imporan derivaives wihin hese markes.
Return Calculation of U.S. Treasury Constant Maturity Indices
Reurn Calculaion of US Treasur Consan Mauri Indices Morningsar Mehodolog Paper Sepeber 30 008 008 Morningsar Inc All righs reserved The inforaion in his docuen is he proper of Morningsar Inc Reproducion
1. y 5y + 6y = 2e t Solution: Characteristic equation is r 2 5r +6 = 0, therefore r 1 = 2, r 2 = 3, and y 1 (t) = e 2t,
Homework6 Soluions.7 In Problem hrough 4 use he mehod of variaion of parameers o find a paricular soluion of he given differenial equaion. Then check your answer by using he mehod of undeermined coeffiens..
9. Capacitor and Resistor Circuits
ElecronicsLab9.nb 1 9. Capacior and Resisor Circuis Inroducion hus far we have consider resisors in various combinaions wih a power supply or baery which provide a consan volage source or direc curren
ON THE PRICING OF EQUITY-LINKED LIFE INSURANCE CONTRACTS IN GAUSSIAN FINANCIAL ENVIRONMENT
Teor Imov r.amaem.sais. Theor. Probabiliy and Mah. Sais. Vip. 7, 24 No. 7, 25, Pages 15 111 S 94-9(5)634-4 Aricle elecronically published on Augus 12, 25 ON THE PRICING OF EQUITY-LINKED LIFE INSURANCE
Option Put-Call Parity Relations When the Underlying Security Pays Dividends
Inernaional Journal of Business and conomics, 26, Vol. 5, No. 3, 225-23 Opion Pu-all Pariy Relaions When he Underlying Securiy Pays Dividends Weiyu Guo Deparmen of Finance, Universiy of Nebraska Omaha,
Inductance and Transient Circuits
Chaper H Inducance and Transien Circuis Blinn College - Physics 2426 - Terry Honan As a consequence of Faraday's law a changing curren hrough one coil induces an EMF in anoher coil; his is known as muual
INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES
INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES OPENGAMMA QUANTITATIVE RESEARCH Absrac. Exchange-raded ineres rae fuures and heir opions are described. The fuure opions include hose paying
Cointegration: The Engle and Granger approach
Coinegraion: The Engle and Granger approach Inroducion Generally one would find mos of he economic variables o be non-saionary I(1) variables. Hence, any equilibrium heories ha involve hese variables require
The Experts In Actuarial Career Advancement. Product Preview. For More Information: email [email protected] or call 1(800) 282-2839
P U B L I C A T I O N S The Eers In Acuarial Career Advancemen Produc Preview For More Informaion: email [email protected] or call (8) 8-839 Preface P- Conens Preface P-7 Syllabus Reference P- Flow
2.2 Time Series Analysis 2.2.1 Preliminaries 2.2.2 Various Types of Stochastic Processes 2.2.3 Parameters of Univariate and Bivariate Time Series
. Time Series Analysis.. Preliminaries.. Various Tyes of Sochasic Processes..3 Parameers of Univariae and Bivariae Time Series..4 Esimaing Covariance Funcions and Secra . Time Series Analysis The cenral
Chapter 4: Exponential and Logarithmic Functions
Chaper 4: Eponenial and Logarihmic Funcions Secion 4.1 Eponenial Funcions... 15 Secion 4. Graphs of Eponenial Funcions... 3 Secion 4.3 Logarihmic Funcions... 4 Secion 4.4 Logarihmic Properies... 53 Secion
Full-wave rectification, bulk capacitor calculations Chris Basso January 2009
ull-wave recificaion, bulk capacior calculaions Chris Basso January 9 This shor paper shows how o calculae he bulk capacior value based on ripple specificaions and evaluae he rms curren ha crosses i. oal
4. International Parity Conditions
4. Inernaional ariy ondiions 4.1 urchasing ower ariy he urchasing ower ariy ( heory is one of he early heories of exchange rae deerminaion. his heory is based on he concep ha he demand for a counry's currency
Keldysh Formalism: Non-equilibrium Green s Function
Keldysh Formalism: Non-equilibrium Green s Funcion Jinshan Wu Deparmen of Physics & Asronomy, Universiy of Briish Columbia, Vancouver, B.C. Canada, V6T 1Z1 (Daed: November 28, 2005) A review of Non-equilibrium
Optimal Investment and Consumption Decision of Family with Life Insurance
Opimal Invesmen and Consumpion Decision of Family wih Life Insurance Minsuk Kwak 1 2 Yong Hyun Shin 3 U Jin Choi 4 6h World Congress of he Bachelier Finance Sociey Torono, Canada June 25, 2010 1 Speaker
11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements
Inroducion Chaper 14: Dynamic D-S dynamic model of aggregae and aggregae supply gives us more insigh ino how he economy works in he shor run. I is a simplified version of a DSGE model, used in cuing-edge
A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation
A Noe on Using he Svensson procedure o esimae he risk free rae in corporae valuaion By Sven Arnold, Alexander Lahmann and Bernhard Schwezler Ocober 2011 1. The risk free ineres rae in corporae valuaion
Verification Theorems for Models of Optimal Consumption and Investment with Retirement and Constrained Borrowing
MATHEMATICS OF OPERATIONS RESEARCH Vol. 36, No. 4, November 2, pp. 62 635 issn 364-765X eissn 526-547 364 62 hp://dx.doi.org/.287/moor..57 2 INFORMS Verificaion Theorems for Models of Opimal Consumpion
A Curriculum Module for AP Calculus BC Curriculum Module
Vecors: A Curriculum Module for AP Calculus BC 00 Curriculum Module The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy.
Optimal Stock Selling/Buying Strategy with reference to the Ultimate Average
Opimal Sock Selling/Buying Sraegy wih reference o he Ulimae Average Min Dai Dep of Mah, Naional Universiy of Singapore, Singapore Yifei Zhong Dep of Mah, Naional Universiy of Singapore, Singapore July
Mortality Variance of the Present Value (PV) of Future Annuity Payments
Morali Variance of he Presen Value (PV) of Fuure Annui Pamens Frank Y. Kang, Ph.D. Research Anals a Frank Russell Compan Absrac The variance of he presen value of fuure annui pamens plas an imporan role
The Torsion of Thin, Open Sections
EM 424: Torsion of hin secions 26 The Torsion of Thin, Open Secions The resuls we obained for he orsion of a hin recangle can also be used be used, wih some qualificaions, for oher hin open secions such
Healing of Cancer in Spain
Georgian Mahemaical Journal Volume 15 2008), Number 3, 475 484 ESTIMATES OF THE LOCATION OF A FREE BOUNDARY FOR THE OBSTACLE AND STEFAN PROBLEMS OBTAINED BY MEANS OF SOME ENERGY METHODS JESÚS ILDEFONSO
CALCULATION OF OMX TALLINN
CALCULATION OF OMX TALLINN CALCULATION OF OMX TALLINN 1. OMX Tallinn index...3 2. Terms in use...3 3. Comuaion rules of OMX Tallinn...3 3.1. Oening, real-ime and closing value of he Index...3 3.2. Index
A Probability Density Function for Google s stocks
A Probabiliy Densiy Funcion for Google s socks V.Dorobanu Physics Deparmen, Poliehnica Universiy of Timisoara, Romania Absrac. I is an approach o inroduce he Fokker Planck equaion as an ineresing naural
Technical Appendix to Risk, Return, and Dividends
Technical Appendix o Risk, Reurn, and Dividends Andrew Ang Columbia Universiy and NBER Jun Liu UC San Diego This Version: 28 Augus, 2006 Columbia Business School, 3022 Broadway 805 Uris, New York NY 10027,
Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m
Chaper 2 Problems 2.1 During a hard sneeze, your eyes migh shu for 0.5s. If you are driving a car a 90km/h during such a sneeze, how far does he car move during ha ime s = 90km 1000m h 1km 1h 3600s = 25m
Endpoint Strichartz estimates and global solutions for the nonlinear Dirac equation 1
Endpoin Sricharz esimaes and global soluions for he nonlinear Dirac equaion 1 Shuji Machihara, Makoo Nakamura, Kenji Nakanishi, and Tohru Ozawa Absrac. We prove endpoin Sricharz esimaes for he Klein-Gordon
Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1
Absrac number: 05-0407 Single-machine Scheduling wih Periodic Mainenance and boh Preempive and Non-preempive jobs in Remanufacuring Sysem Liu Biyu hen Weida (School of Economics and Managemen Souheas Universiy
Newton s Laws of Motion
Newon s Laws of Moion MS4414 Theoreical Mechanics Firs Law velociy. In he absence of exernal forces, a body moves in a sraigh line wih consan F = 0 = v = cons. Khan Academy Newon I. Second Law body. The
Acceleration Lab Teacher s Guide
Acceleraion Lab Teacher s Guide Objecives:. Use graphs of disance vs. ime and velociy vs. ime o find acceleraion of a oy car.. Observe he relaionship beween he angle of an inclined plane and he acceleraion
A Re-examination of the Joint Mortality Functions
Norh merican cuarial Journal Volume 6, Number 1, p.166-170 (2002) Re-eaminaion of he Join Morali Funcions bsrac. Heekung Youn, rkad Shemakin, Edwin Herman Universi of S. Thomas, Sain Paul, MN, US Morali
Fourier Series and Fourier Transform
Fourier Series and Fourier ransform Complex exponenials Complex version of Fourier Series ime Shifing, Magniude, Phase Fourier ransform Copyrigh 2007 by M.H. Perro All righs reserved. 6.082 Spring 2007
Term Structure of Prices of Asian Options
Term Srucure of Prices of Asian Opions Jirô Akahori, Tsuomu Mikami, Kenji Yasuomi and Teruo Yokoa Dep. of Mahemaical Sciences, Risumeikan Universiy 1-1-1 Nojihigashi, Kusasu, Shiga 525-8577, Japan E-mail:
The Heisenberg group and Pansu s Theorem
The Heisenberg group and Pansu s Theorem July 31, 2009 Absrac The goal of hese noes is o inroduce he reader o he Heisenberg group wih is Carno- Carahéodory meric and o Pansu s differeniaion heorem. As
Kinematics in 1-D From Problems and Solutions in Introductory Mechanics (Draft version, August 2014) David Morin, [email protected].
Chaper 2 Kinemaics in 1-D From Problems and Soluions in Inroducory Mechanics (Draf ersion, Augus 2014) Daid Morin, [email protected] As menioned in he preface, his book should no be hough of as
Lecture Note on the Real Exchange Rate
Lecure Noe on he Real Exchange Rae Barry W. Ickes Fall 2004 0.1 Inroducion The real exchange rae is he criical variable (along wih he rae of ineres) in deermining he capial accoun. As we shall see, his
ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS
ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS R. Caballero, E. Cerdá, M. M. Muñoz and L. Rey () Deparmen of Applied Economics (Mahemaics), Universiy of Málaga,
Morningstar Investor Return
Morningsar Invesor Reurn Morningsar Mehodology Paper Augus 31, 2010 2010 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion
Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities
Table of conens Chaper 1 Ineres raes and facors 1 1.1 Ineres 2 1.2 Simple ineres 4 1.3 Compound ineres 6 1.4 Accumulaed value 10 1.5 Presen value 11 1.6 Rae of discoun 13 1.7 Consan force of ineres 17
Option Pricing Under Stochastic Interest Rates
I.J. Engineering and Manufacuring, 0,3, 8-89 ublished Online June 0 in MECS (hp://www.mecs-press.ne) DOI: 0.585/ijem.0.03. Available online a hp://www.mecs-press.ne/ijem Opion ricing Under Sochasic Ineres
Present Value Methodology
Presen Value Mehodology Econ 422 Invesmen, Capial & Finance Universiy of Washingon Eric Zivo Las updaed: April 11, 2010 Presen Value Concep Wealh in Fisher Model: W = Y 0 + Y 1 /(1+r) The consumer/producer
DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS
DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS Hong Mao, Shanghai Second Polyechnic Universiy Krzyszof M. Osaszewski, Illinois Sae Universiy Youyu Zhang, Fudan Universiy ABSTRACT Liigaion, exper
Dependent Interest and Transition Rates in Life Insurance
Dependen Ineres and ransiion Raes in Life Insurance Krisian Buchard Universiy of Copenhagen and PFA Pension January 28, 2013 Absrac In order o find marke consisen bes esimaes of life insurance liabiliies
Equation for a line. Synthetic Impulse Response 0.5 0.5. 0 5 10 15 20 25 Time (sec) x(t) m
Fundamenals of Signals Overview Definiion Examples Energy and power Signal ransformaions Periodic signals Symmery Exponenial & sinusoidal signals Basis funcions Equaion for a line x() m x() =m( ) You will
arxiv:math/0111328v1 [math.co] 30 Nov 2001
arxiv:mah/038v [mahco 30 Nov 00 EVALUATIONS OF SOME DETERMINANTS OF MATRICES RELATED TO THE PASCAL TRIANGLE C Kraenhaler Insiu für Mahemaik der Universiä Wien, Srudlhofgasse 4, A-090 Wien, Ausria e-mail:
Why Did the Demand for Cash Decrease Recently in Korea?
Why Did he Demand for Cash Decrease Recenly in Korea? Byoung Hark Yoo Bank of Korea 26. 5 Absrac We explores why cash demand have decreased recenly in Korea. The raio of cash o consumpion fell o 4.7% in
The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1
Business Condiions & Forecasing Exponenial Smoohing LECTURE 2 MOVING AVERAGES AND EXPONENTIAL SMOOTHING OVERVIEW This lecure inroduces ime-series smoohing forecasing mehods. Various models are discussed,
Modeling VIX Futures and Pricing VIX Options in the Jump Diusion Modeling
Modeling VIX Fuures and Pricing VIX Opions in he Jump Diusion Modeling Faemeh Aramian Maseruppsas i maemaisk saisik Maser hesis in Mahemaical Saisics Maseruppsas 2014:2 Maemaisk saisik April 2014 www.mah.su.se
DETERMINISTIC INVENTORY MODEL FOR ITEMS WITH TIME VARYING DEMAND, WEIBULL DISTRIBUTION DETERIORATION AND SHORTAGES KUN-SHAN WU
Yugoslav Journal of Operaions Research 2 (22), Number, 6-7 DEERMINISIC INVENORY MODEL FOR IEMS WIH IME VARYING DEMAND, WEIBULL DISRIBUION DEERIORAION AND SHORAGES KUN-SHAN WU Deparmen of Bussines Adminisraion
Life insurance cash flows with policyholder behaviour
Life insurance cash flows wih policyholder behaviour Krisian Buchard,,1 & Thomas Møller, Deparmen of Mahemaical Sciences, Universiy of Copenhagen Universiesparken 5, DK-2100 Copenhagen Ø, Denmark PFA Pension,
A closer look at Black Scholes option thetas
J Econ Finan (2008) 32:59 74 DOI 0.007/s297-007-9000-8 A closer look a Black Scholes oion heas Douglas R. Emery & Weiyu Guo & Tie Su Published online: Ocober 2007 # Sringer Science & Business Media, LLC
Chapter 2 Kinematics in One Dimension
Chaper Kinemaics in One Dimension Chaper DESCRIBING MOTION:KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings moe how far (disance and displacemen), how fas (speed and elociy), and how
Optimal Real-Time Scheduling for Hybrid Energy Storage Systems and Wind Farms Based on Model Predictive Control
Energies 2015, 8, 8020-8051; doi:10.3390/en8088020 Aricle OPEN ACCESS energies ISSN 1996-1073 www.mdi.com/journal/energies Oimal Real-Time Scheduling for Hybrid Energy Sorage Sysems and Wind Farms Based
LECTURE 7 Interest Rate Models I: Short Rate Models
LECTURE 7 Ineres Rae Models I: Shor Rae Models Spring Term 212 MSc Financial Engineering School of Economics, Mahemaics and Saisics Birkbeck College Lecurer: Adriana Breccia email: abreccia@emsbbkacuk
The Fourier Transform
The Fourier Transform As we have seen, an (sufficienl smooh) funcion f() ha is periodic can be buil ou of sin s and cos s. We have also seen ha complex exponenials ma be used in place of sin s and cos
Steps for D.C Analysis of MOSFET Circuits
10/22/2004 Seps for DC Analysis of MOSFET Circuis.doc 1/7 Seps for D.C Analysis of MOSFET Circuis To analyze MOSFET circui wih D.C. sources, we mus follow hese five seps: 1. ASSUME an operaing mode 2.
