STURM-LIOUVILLE PROBLEMS

Size: px
Start display at page:

Download "STURM-LIOUVILLE PROBLEMS"

Transcription

1 STURM-LIOUVILLE PROBLEMS Mrch 8, 24 We hve seen tht in the process of solving certin liner evolution equtions such s the het or wve equtions we re led in very nturl wy to n eigenvlue problem for second order liner differentil opertor with two boundry conditions. In this chpter we shll study collection of such eigenvlue problems. Let (, b) be n intervl on the rel line, nd consider the following problem: Lu := (p(x)u ) + q(x)u = λ w(x)u, < x < b, (1) B u := A 1 u() + A 2 u () + 1 u(b) + 2 u (b) =, (2) B b u := b 1 u() + b 2 u () + B 1 u(b) + B 2 u (b) =. (3) We note tht L, B nd B b re liner opertors nd hence stisfy the Superposition Principle. This is n importnt nd useful fct. Next we impose some restrictions on the intervl (, b) nd the coefficients occurring in the opertors L, B, nd B b. Assumptions. The intervl (, b) is bounded, i.e. < < b <. All coefficients re rel. Moreover, the functions p, p, q, nd w re continuous on [, b] while p(x) > nd w(x) > on [, b]. We lso ssume tht the two boundry conditions re linerly independent, tht is to sy tht B is not multiple of B b nor is B b multiple of B. Equivlently, the vectors (A 1, A 2, 1, 2 ) nd (b 1, b 2, B 1, B 2 ) re linerly independent. When these ssumptions re stisfied then we sy tht equtions (1)-(3) constitute regulr Sturm- Liouville problem (RSLP). When the boundry conditions hve the form: B u = A 1 u() + A 2 u () =, (4) B b u = B 1 u(b) + B 2 u (b) =, (5) i.e. the coefficients denoted with lower cse letters re ll zero, then we sy tht the boundry conditions re seprted boundry conditions. When the boundry conditions hve the form B u = u() u(b) =, (6) B b u = u () u (b) =, (7) 1

2 we sy tht the boundry conditions re periodic boundry conditions. The reson for this terminology is tht continuously differentible function on the rel line tht is periodic with period b stisfies (6)-(7). The following is simple but useful little result. Lemm. (Green s first nd second identities) If u C 2 (, b) C 1 [, b] then: (I) v (Lu) dx = p u v b + {p u v + q u v} dx (II) [v (Lu) u (Lv)] dx = [p u v p u v b. Proof. The proof essentilly consists of nothing more thn integrting by prts. v (Lu) dx = Now, by symmetry we see tht [ v (pu ) + v q u] dx = p u v b + {p u v + q u v} dx u (Lv) dx = [ u (pv ) + u q v] dx = p v u b + {p v u + q v u} dx Subtrcting this lst eqution from (I) we obtin (II). Remrk. Note tht the requirement f C 2 (, b) sys nothing bout u t the end points, while u C 1 [, b] implies tht u () nd u (b) re defined s one-sided derivtives. Definition. The RSLP (1)-(3) is sid to be selfdjoint if whenever u, v C 2 (, b) C 1 [, b] nd stisfy the boundry conditions (2) nd (3) then [v (Lu) u (Lv)] dx =. By the second Green s identity this is equivlent to sying tht whenever u nd v re two functions tht belong to C 2 (, b) C 1 [, b] nd stisfy the boundry conditions B u = B v = B b u = B b v =, then [p u v p u v] b =. 2

3 Lemm. A RSLP with seprted boundry conditions is selfdjoint. periodic boundry conditions is selfdjoint. A RSLP with p() = p(b) nd with Proof. We must show tht [p u v p u v] b =. This is obvious if u nd v stisfy periodic boundry conditions, so from now on let us suppose tht u nd v stisfy seprted boundry conditions: nd A 1 u() + A 2 u () = (8) B 1 u(b) + B 2 u (b) = (9) A 1 v() + A 2 v () = (1) B 1 v(b) + B 2 v (b) =. (11) It is cler tht [p u v p u v] b = if u v u v = t both endpoints nd b. Regrding eqution (8) nd (1) s homogeneous system of liner lgebric equtions for A 1 nd A 2 we see tht since A 1 nd A 2 re not both zero it must be true tht the determinnt of the coefficient mtrix must be zero. But this determinnt is u() v () u () v(). A similr rgument for equtions (9) nd (11) shows tht u(b) v (b) u (b) v(b), must be zero. Definition. A sclr λ is sid to be n eigenvlue for the Sturm-Liouville problem (1)-(3) if there exists function u C 2 (, b) C 1 [, b] such tht u is not identiclly zero nd u stisfies (1)-(3). The function u is clled n eigenfunction nd the pir (λ, u) is clled n eigenpir. The next theorem proves couple of fundmentl results (prts (i) nd (ii) ) bout eigenpirs for the RSLP. The third nd fourth prts of the theorem re not very importnt but cn occsionlly sve us little bit of work. Theorem 1. Suppose tht (1)-(3) is regulr selfdjoint Sturm-Liouville problem, then: (i) If (λ, u) is n eigenpir then λ is rel. (ii) If (λ, u) nd (µ, v) re two eigenpirs with λ µ then < u, v > w =. (iii) If the boundry conditions re seprted nd A 1 A 2 nd B 1 B 2 then for ny eigenpir (λ, u) we hve min{q(x) : x b} λ mx{w(x) : x b}. (12) (iv) Under the hypotheses of (iii) the inequlity is strict (>) unless ll of the following hold: q constnt, w constnt, nd A 1 = B 1 = (Neumnn problem). 3

4 Proof. (i) Since ll the coefficients re rel we get upon tking the complex conjugte of (1)-(3): Lu = λ w u, B u, B b u =. This mens tht (λ, u) is lso n eigenpir. By Green s second identity we hve [ulu ulu] dx = ( λ λ ) wuu dx. By selfdjointness the left hnd side is zero while the right hnd side is (λ λ) u 2 w. But since u is not identiclly zero this mens tht λ = λ. (ii) First we note tht vlu = λwvu nd ulv = µwuv. Tking the difference of these two equtions nd integrting we obtin [vlu ulv] dx = (λ µ) wvu dx = (λ µ) < v, u > w. Agin, by virtue of selfdjointness the left hnd side is zero, implying the orthogonlity of u nd v. iii) By Green s first identity we hve If we cn show tht nd λ wuu dx = then λ w u 2 dx q u 2 dx, so tht u (Lu) dx = p u u b + {p u u + q u u} dx p()u ()u() p(b)u (b)u(b) + λ q u 2 dx w u 2 dx q u 2 dx. u()u () (13) u(b)u (b), (14) min{q(x) : x b} mx{w(x) : x b} nd we re done. It remins to prove (13) nd (14). We will prove (13) nd leve (14) s n exercise for the reder. From the boundry condition t we hve A 1 u() + A 2 u () =, (15) A 1 u() u() + A 2 u () u() =, (16) If A 2 = then A 1 nd we hve from (15) tht u() = (since both coefficients cn not be zero). Therefore u () u() = nd hence (13) is stisfied. On the other hnd, if A 2 then from (16) it follows tht u () u() = (A 1 /A 2 ) u() 2, where the lst inequlity follows from the ssumption A 1 A 2. 4

5 Exercise 2. Complete the proof of (iii) by showing tht u(b)u (b). Exercise 2b. Prove prt (iv) of theorem 1. Hint: Trce crefully through the proof of (12). Exmple 1. Let us use the bove theorem to help us find ll the eigenvlues nd eigenfunctions for the problem u = λu, < x < L, (17) u() =, u (L) =. (18) First we observe tht this is regulr Sturm-Liouville problem. Since the problem hs seprted boundry conditions it is lso selfdjoint. By theorem 1 ll eigenvlues must therefore be rel. Moreover, since in this cse A 1 = 1, A 2 =, B 1 =, nd B 1 = 1, we hve A 1 A 2 = nd B 1 B 2 =, so tht we my conclude tht ll eigenvlues stisfy (12). In the present cse we hve q(x) 1 nd w(x) 1, so we see tht ll eigenvlues re nonnegtive (ctully we my use exercise 2b to conclude tht ll eigenvlues re positive). However, let us suppose tht ll we know is tht the eigenvlues re rel. In tht cse we must look t three cses. Cse λ < : We my write λ = ω 2 with ω > so tht the differentil eqution becomes u = ω 2 u. This hs the generl solution α e ωx + β e ωx or equivlently α cosh(ωx) + β sinh(ωx). In this prticulr cse the second form is more convenient. We esily see tht the boundry condition t requires α =. Hence we my ssume tht u = sinh(ωx) - once we know α = it is not necessry to crry long the remining coefficient since we know tht if u is n eigenfunction then so is ny multiple of u. Imposing the boundry condition t L we obtin ω cosh(ωl) =. But this is impossible since neither fctor ω or cosh(ωl) cn be zero. Cse λ = : Now the differentil eqution is simply u = which hs generl solution u = α + βx. The two boundry conditions yield α = nd β =, nd once gin we hve no eigenfunction. Cse λ > : We my write λ = ω 2 with ω >. The differentil eqution u = ω 2 u hs generl solution u = α cos(ωx) + β sin(ωx). Imposing the boundry condition t tells us tht α =, so tht we my ssume tht u = sin(ωx). Imposing the second boundry condition yields ω cos(ωl) =. This requires tht ω = (2n 1)π/2L for some integer n >. We denote these llowed vlues of ω by ω n : ω n = (2n 1)π/2, n = 1, 2,, λ n = ω 2 n, n = 1, 2,. The eigenfunctions re functions of the form β n sin(ω n x). However the coefficients re rbitrry nd do not crry ny useful informtion, so we my consider just the eigenfunctions φ n (x) = sin(ω n x), n = 1, 2,. Exercise 3. Show by direct integrtion tht the eigenfunctions in the bove exmple re mutully orthogonl, i.e. show tht whenever m n. L sin(ω n x) sin(ω m x) dx = In the bove exmple we sw gin tht the eigenvlues form n infinite discrete collection. The next theorem tells us tht this is typicl. But first nother definition: We sy tht set is countbly infinite if 5

6 its elements cn be put in one-to-one correspondence with subset of the nturl numbers {1, 2, 3,...}. This is equivlent to sying tht the elements of the set my be indexed by nturl numbers. Theorem 2. The eigenvlues of the RSLP (1)-(3) with seprted boundry conditions form countbly infinite set of rel numbers tht my be rrnged s n incresing sequence: λ < λ 2 < with lim λ n = +. n For ech λ n there is unique (up to sclr multiple) eigenfunction. The eigenfunctions my be tken to be rel nd they form complete orthogonl fmily (i.e. bsis) in the spce L 2 w(, b). The proof of this theorem is beyond the scope of these notes. Its consequences, however, re crucilly importnt to much of wht follows. We see tht corresponding to ech RSLP with seprted boundry conditions we cn find n orthonorml bsis for the spce L 2 w(, b). Such bsis my then be used to form corresponding (generlized) Fourier series. For exmple the usul Fourier sine series on (, π) corresponds to the RSLP u = λu, < x < π with seprted boundry conditions u() = u(π) =. In generl, corresponding to the selfdjoint RSLP (1)-(3) we hve the generlized Fourier series on (, b): f(x) c n φ n (x), n=1 where c n = f(x) φ n(x) dx φ n(x) 2 dx For exmple, for the selfdjoint RSLP (17)-(18) we hve the generlized Fourier series on (, L) given by f(x) c n cos(ω n x) n=1 where c n = L L f(x) cos(ω nx) dx = 2 cos2 (ω n x) dx L L f(x) cos(ω n x) dx Remrk on the cse of periodic boundry conditions. Wht bout RSLP s which do not hve seprted boundry conditions but re selfdjoint (like the cse of periodic boundry conditions)? We do know, from theorem 1, tht the eigenvlues re rel nd tht eigenfunctions corresponding to different eigenvlues re orthogonl. However it my hppen tht there re two linerly independent eigenfunctions corresponding to the sme eigenvlue. Since the Sturm-Liouville problem is second order we know tht it is impossible to hve more thn two linerly independent solutions irrespective of the boundry conditions! When we hve two linerly independent solutions u 1 nd u 2 corresponding to the sme eigenvlue λ nd 6

7 both u 1 nd u 2 stisfy the boundry conditions B u 1 = B b u 1 = B u 2 = B b u 2 =, then we cn find two mutully orthogonl eigenfunctions v 1 nd v 2 corresponding to the eigenvlue λ. We do this by the so-clled Grm-Schmidt process: ( ) < u2, u 1 > w v 1 = u 1, v 2 = u 2 u 1, < u 1, u 1 > w where <, > w denotes the L 2 inner product with weight w, i.e. < φ, ψ > w = φ(x)ψ(x) w(x) dx. This mens tht corresponding to ech eigenvlue we hve either one linerly independent eigenfunction or we hve two mutully orthogonl eigenfunctions. The totlity of ll these eigenfunctions forms n orthogonl fmily in L 2 w(, b) nd it cn be shown tht they form complete set of eigenfunctions (i.e. n orthogonl bsis) for L 2 w(, b). The eigenvlues cn gin be shown to form countbly infinite set which tends to infinity. In summry: ll sttements of theorem 2 re still vlid for the cse of generl selfdjoint RSLP s except the sttement bout there being unique linerly independent eigenfunction corresponding to ech eigenvlue. Tht sttement becomes the sttement tht corresponding to ech eigenvlue there is either one linerly independent eigenfunction or there re two mutully orthogonl eigenfunctions. The clssicl exmple of this sitution is the RSLP u (x) = λu(x), π < x < π, u( π) = u(π), u ( π) = u (π). In this cse the eigenvlues re λ n = n 2, n =, 1, 2,. Corresponding to the eigenvlue we hve only one linerly independent eigenfunction ( e.g. φ (x) 1, nd corresponding to the other eigenvlues λ n, n >, we cn find two mutully orthogonl eigenfunctions (e.g. sin(nx) nd cos(nx)). The totlity of these eigenfunctions form n orthogonl bsis for L 2 ( π, π). Note tht within the two-dimensionl eigenspce corresponding to ny positive eigenfunction we my, of course, prefer to choose the mutully orthogonl eigenfunctions e inx nd e inx in which cse our bsis becomes { e inx : n =, ±1, ±2,... } In this cse it must nturlly be ssumed tht we del with the liner spce of complex squre-integrble functions over the field of complex sclrs. We therefore see tht the theory of Sturm-Liouville equtions give us substntil generliztion of Fourier series. We cll the series expnsion in terms of the eigenfunctions of n RSLP generlized Fourier series or eigenfunction expnsions. Exercise 4. Prove tht v 1 nd v 2 s given bove, re two mutully orthogonl eigenfunctions. Given N linerly independent functions, {u 1, u 2,, u N } tht re squre integrble with respect to weight function w, design procedure to find N mutully orthonorml functions {v 1, v 2,, v N } such tht v k is liner combintion of {u 1, u 2,, u k }. The next question tht rises nturlly concerns pointwise nd uniform convergence of generlized Fourier series. Concerning this mtter we will stte, without proof, the following, rther comprehensive theorem. 7

8 Theorem 3. Let {(λ n, φ n )} n=1 be mximl collection of linerly independent eigenpirs for the RSLP (1)-(3) with seprted boundry conditions. Let f L 2 w(, b) nd let c n denote the n th generlized Fourier coefficient of f, nd consider the generlized Fourier series c n = < f, φ n > w < φ n, φ n > w, c n φ n (x). n=1 (i) This series converges to f in the men-squre with weight w, i.e. in the norm u w := < u, u > w. (ii)this series converges to 1 [f(x+) + f(x )] 2 for ny x (, b) provided tht f is piecewise smooth. (iii) If f C[, b] nd f is piecewise continuous nd if f stisfies both boundry conditions of the Sturm- Liouville problem, then the series converges uniformly on [, b]. (iv) If f is piecewise smooth nd continuous on the subintervl [α, β] (, b), then the series converges uniformly on the subintervl [α, β]. The study of Sturm-Liouville problems thus provides substntil generliztion of ordinry Fourier series. We conclude with severl exmples. Exmple 2. Consider the RSLP (xu ) = λ x 1 u, 1 < x < e, u(1) =, u (e) =. ) Find ll eigenpirs. b) Expnd the constnt function f(x) 1 in terms of the eigenfunctions. c) Discuss the convergence of the series obtined in b). d) Use b) nd c) to determine the vlue of 1 + 1/3 1/5 1/7 + 1/9 + 1/11 1/13 1/15 + 1/17 +. (19) Solution: ) Let us first observe tht by theorem 1 ll eigenvlues re rel nd nonnegtive. This mens tht we my represent ech eigenvlue λ s λ = ω 2 with ω : x 2 u + xu + ω 2 u =. This is the Euler eqution (lso sometimes clled the equidimensionl eqution). It is known to possess solutions of the form u = x r. Substituting this into the eqution we obtin x 2 r(r 1)x r 2 + xrx r 1 + ω 2 x r =. Upon simplifying this becomes (r 2 + ω 2 )x r =, 8

9 so tht we must hve r = ±iω, nd the corresponding solutions re Consequently the generl solution is given by u = x ±iω = e ±iω ln x = cos(ω ln x) ± i sin(ω ln x). u = A cos(ω ln x) + B sin(ω ln x). Next we need to stisfy the boundry conditions. At x = 1 we hve = u(1) = A nd t x = e we hve = u (e) = ω B e 1 cos(ω ln e). This cn only be true if either ω = or if ω is n odd multiple of π/2. But if ω = then u which cnnot be n eigenfunction. We therefore rrive t the following collection of eigenpirs: where b) f (λ k, φ k ) = (ω 2 k, sin(ω k ln x)), ω k = k=1 (2k 1)π, k = 1, 2,. 2 c k φ k, where c k = < f, φ k > w < φ k, φ k > w. In order to compute the generlized Fourier coefficient we obtin < φ k, φ k > w = e If we mke the substitution z = ω k ln x this integrl becomes Therefore ωk ω 1 k c k = e 1 ωk sin 2 z dz = (2ω k ) 1 [1 cos(2z)] dz = 1 x 1 sin 2 (ω k ln x) dx. 1 (2k 1)π ωk x 1 sin(ω k ln x) dx = 2ω 1 4 k sin z dz = (2k 1)π So we hve the generlized Fourier series 1 f k=1 ( 4 (2k 1)π (2k 1) π sin 2 [z 12 ] (2k 1)π/2 sin(2z) = 1/2. [ cos z)](2k 1)π/2 = ) ln x. 4 (2k 1)π. c) Since the function f 1 does not stisfy the boundry conditions we do not hve uniform convergence on the intervl [1, e], however we do hve pointwise convergence to 1 for ll x on the intervl 1 < x < e. Also, we hve uniform convergence on ny closed subintervl [α, β] with 1 < α < β < e. d) Since 1 < e < e, we see tht the bove series converges to 1 t x = e. This tells us tht 1 = k=1 ( 4 (2k 1)π (2k 1) π sin 4 9 ),

10 or π 4 = ( 1 (2k 1)π (2k 1) sin 4 k=1 Hence the series (19) sums to π 2/4. ) = 1 2 [1 + 1/3 1/5 1/7 + 1/ ]. Although the bove exmple provides nice illustrtion of Sturm-Liouville problem with vrible coefficients, most of the Sturm-Liouville problems we will encounter re those for which the differentil eqution is simply u = λu. However this does not men tht the problem is trivil, s the following exmples show. Exmple 3. Find ll the eigenpirs for the problem u = λu, < x < π, u() u () =, u(π) + bu (π) =, where we ssume tht > nd b >. From theorem 1 it follows tht the eigenvlues re nonnegtive. This mens tht we cn let λ = ω 2, with ω, nd the eqution becomes u = ω 2 u, which hs the generl solution u = A cos(ωx) + B sin(ωx), ω >, u = A + Bx, if ω =. First let us exmine the cse ω =. In this cse the boundry conditions imply tht A B = nd A + Bπ + Bb =. Substituting into the second eqution we get ( + b + π)b = nd therefore B = nd A = nd we hve no eigenfunction. When ω >, u (x) = ωa sin(ωx) + Bω cos(ωx) so tht the boundry conditions red A ωb =, A cos(ωπ) + B sin(ωπ) + b[ ωa sin(ωπ) + ωb cos(ωπ)] =, which my be written s ( 1 ω [cos(ωπ) bω sin(ωπ)] [sin(ωπ) + bω cos(ωπ)] ) ( A B In order for this eqution to hve nontrivil solution (i.e. solution besides the solution A = B = ) the determinnt of the coefficient mtrix must be zero: ) = ( sin(ωπ) + bω cos(ωπ) + ω cos(ωπ) bω 2 sin(ωπ). (2) Let us ssume tht cos(ωπ) nd let us divide the bove eqution by cos(ωπ). After rerrnging terms we then obtin ( + b) ω tn(ωπ) = bω 2 1. (21) Let us define ω = (b) 1/2 The solutions ω > of eqution (21) correspond to the intersections of the curves y = tn(πω) nd y = (+) ω/(bω 2 1) in the hlf plne ω >, < y < (see figure below). Plese note tht the second curve hs n symptote ω = ω. We lbel the first coordintes of the intersections with subscripts: ω 1 < ω 2 <. These vlues my be obtined by some numericl method such s Newton s Method. As fr s we re concerned we will consider the problem of finding the eigenvlues completed t this point. We hve λ k = ωk 2. ). 1

11 Fig. 6.1 Loction of the ω k s for exmple 3. The corresponding eigenfunctions hve the form φ k (x) = A cos(ω k x)+b sin(ω k x), however we sw from our boundry conditions tht A = ω k B so tht we my write φ k (x) = B [ ω k cos(ω k x) + sin(ω k x)]. Finlly, since we only need one eigenfunction per eigenvlue, we my set B = 1, so tht φ k (x) = ω k cos(ω k x) + sin(ω k x). There is one loose end to tke cre of. The previous rguments re bsed on the ssumption tht cos(ωπ). Is it possible to hve solutions ω of eqution (2) for which cos(ωπ) =? Clerly this would imply ωπ = (2m 1)π/2 for some positive integer m. Eqution (2) then implies tht sin(ωπ) = bω 2 sin(ωπ), where sin(ωπ) = ±1, nd hence my be cncelled to yield bω 2 = 1, so tht lso ω = ω. To summrize, in the exceptionl cse tht (b) 1/2 = m 1 2 for some positive integer m there will be nother eigenpir (λ, φ ) where λ = ω 2 = (m 1 2 )2, φ (x) = ω cos(ω x) + sin(ω x). Exmple 4. Let us find ll the eigenvlues nd eigenfunctions for the Sturm-Liouville problem u (x) = λu(x), < x < 1, u () =, u (1) = γu(1). Since the boundry conditions re seprted the problem is selfdjoint. In this cse the hypotheses of theorem 1-(iii) re not stisfied. Indeed, we hve B 1 = γ, B 2 = 1, so tht B 1 B 2 = γ <. This indictes we my expect negtive eigenvlue, nd we must consider ll three cses λ >, λ =, nd λ <. Let us begin with the esiest cse. Fig. 6.2 Loction of ω for exmple 4. The cse λ = : The solution is of the form A + Bx. When we impose the two boundry conditions we see tht B = nd B = γ(a + B). But this mens tht both A nd B must be zero. The cse λ < : Let λ = ω 2, with ω >, nd the differentil eqution becomes u = ω 2 u. The generl solution is u = A cosh(ωx) + B sinh(ωx), or equivlently u = e ωx + b e ωx. 11

12 Either form my be used, but in this cse the first form is little more convenient. Since u (x) = ωa sinh(ωx) + ωb cosh(ωx), the boundry condition t x = tells us tht B =, so tht u = A cosh(ωx). The boundry condition t x = 1 yields ω sinh(ωx) = γ cosh(ωx) evluted t x = 1. This yields tnh(ω) = γ/ω, ω >. Solutions of this correspond to intersections of the curves y = tnh ω nd y = γ/ω in the hlf plne ω >, < y <. As we see from the bove grph, there is single solution which we shll denote by ω. This yields the single eigenpir λ = ω, 2 φ (x) = cosh(ω x). Cse λ > : We set λ = ω 2 with ω >. The generl solution to the differentil eqution is now nd its derivtive is given by u(x) = A cos(ωx) + B sin(ωx), u (x) = ωa sin(ωx) + ωb cos(ωx). The boundry condition t x = implies B =. The boundry condition t x = 1 then yields the informtion ωa sin ω = γa cos ω or tn ω = γ/ω. As before, the positive solutions of this eqution correspond to the intersections of the curves y = tn ω nd y = γ/ω. We gin lbel these solutions with positive integers: < ω 1 < ω 2 <. This yields the eigenpirs (λ k, φ k ) with λ k = ωk 2, φ k(x) = cos(ω k x), where k = 1, 2, 3,. In this prticulr cse it ws more convenient to index the set of linerly independent eigenfunctions by the nonnegtive integers rther thn by the positive integers. We note Fig 6.3 Loction of the ω k s for exmple 4. tht if f L 2 (, 1) then we cn find the generlized Fourier series where the Fourier coefficients re given by f c cosh(ω x) + c = N 1 c k = N 1 k 1 1 c k cos(ω k x), k=1 f(x) cosh(ω x) dx, f(x) cos(ω k x) dx, k >, 12

13 where N = 1 cosh 2 (ω x) dx, N k = 1 cos 2 (ω k x) dx, k >. Wrning. These integrls cnnot be evluted without knowing the numericl vlues of ω k. N k is not simply 1/2 s one might hve guessed from our previous exmples! The integrl of cos 2 (ωx) over n intervl (, b) is equl to hlf its length, (b )/2, if the intervl contins precisely n integrl number of qurter-cycles, i.e. if 2ω(b )/π is positive integer. This is not true in generl. Exercise 5. Show tht N k = 1 2 [1 γ/(ω2 k + γ2 )]. Exmple 5. As our finl exmple we consider the Sturm-Liouville problem u (x) = λu(x), < x < 1 u() =, u (1) = γ u(1), γ > 1. Fig 6.4 Loction of ω for exmple 5. Agin we cnnot pply theorem 1-(iii) since B 1 B 2 <, nd so we hve to consider three seprte cses. Cse λ = : In this cse u = A + Bx. Imposing the boundry conditions leds to A = B =, so tht we do not hve n eigenfunction. Cse λ < : Now we cn set λ = ω 2 nd the differentil eqution becomes u = ω 2 u. Clerly, in view of the fct tht we must hve u() = the solution must hve the form u = B sinh(ωx). The second boundry condition tells us tht ω must be positive solution of tnh ω = ω/γ. Since γ > 1 this eqution hs exctly one solution ω (see figure bove). We therefore hve, s in the previous exmple, one linerly independent eigenfunction corresponding to negtive eigenvlue: λ = ω 2, φ = sinh(ω x). Exercise 6. Complete the bove exmple by finding ll the eigenpirs corresponding to positive eigenvlues. Exercise 7. Consider the eigenvlue problem u = λu, < x < L, u () + αu() =, u (L) + βu(l) =. 13

14 Show tht under pproprite restrictions on L, α, nd β it is possible to hve two negtive eigenvlues, but no more. We conclude this chpter with one very importnt observtion. Note tht in ll eigenvlue problems tht we hve looked t in this chpter, the boundry conditions hve been homogeneous. This is typiclly so nd is n essentil prerequisite for the vlidity of the Superposition Principle. 14

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

The Regulated and Riemann Integrals

The Regulated and Riemann Integrals Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue

More information

STURM-LIOUVILLE BOUNDARY VALUE PROBLEMS

STURM-LIOUVILLE BOUNDARY VALUE PROBLEMS STURM-LIOUVILLE BOUNDARY VALUE PROBLEMS Throughout, we let [, b] be bounded intervl in R. C 2 ([, b]) denotes the spce of functions with derivtives of second order continuous up to the endpoints. Cc 2

More information

Lecture 1. Functional series. Pointwise and uniform convergence.

Lecture 1. Functional series. Pointwise and uniform convergence. 1 Introduction. Lecture 1. Functionl series. Pointwise nd uniform convergence. In this course we study mongst other things Fourier series. The Fourier series for periodic function f(x) with period 2π is

More information

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f 1. Appliction of functionl nlysis to PEs 1.1. Introduction. In this section we give little introduction to prtil differentil equtions. In prticulr we consider the problem u(x) = f(x) x, u(x) = x (1) where

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004 Advnced Clculus: MATH 410 Notes on Integrls nd Integrbility Professor Dvid Levermore 17 October 2004 1. Definite Integrls In this section we revisit the definite integrl tht you were introduced to when

More information

Variational Techniques for Sturm-Liouville Eigenvalue Problems

Variational Techniques for Sturm-Liouville Eigenvalue Problems Vritionl Techniques for Sturm-Liouville Eigenvlue Problems Vlerie Cormni Deprtment of Mthemtics nd Sttistics University of Nebrsk, Lincoln Lincoln, NE 68588 Emil: vcormni@mth.unl.edu Rolf Ryhm Deprtment

More information

1 2-D Second Order Equations: Separation of Variables

1 2-D Second Order Equations: Separation of Variables Chpter 12 PDEs in Rectngles 1 2-D Second Order Equtions: Seprtion of Vribles 1. A second order liner prtil differentil eqution in two vribles x nd y is A 2 u x + B 2 u 2 x y + C 2 u y + D u 2 x + E u +

More information

7.2 The Definite Integral

7.2 The Definite Integral 7.2 The Definite Integrl the definite integrl In the previous section, it ws found tht if function f is continuous nd nonnegtive, then the re under the grph of f on [, b] is given by F (b) F (), where

More information

Abstract inner product spaces

Abstract inner product spaces WEEK 4 Abstrct inner product spces Definition An inner product spce is vector spce V over the rel field R equipped with rule for multiplying vectors, such tht the product of two vectors is sclr, nd the

More information

Convex Sets and Functions

Convex Sets and Functions B Convex Sets nd Functions Definition B1 Let L, +, ) be rel liner spce nd let C be subset of L The set C is convex if, for ll x,y C nd ll [, 1], we hve 1 )x+y C In other words, every point on the line

More information

Linearity, linear operators, and self adjoint eigenvalue problems

Linearity, linear operators, and self adjoint eigenvalue problems Linerity, liner opertors, nd self djoint eigenvlue problems 1 Elements of liner lgebr The study of liner prtil differentil equtions utilizes, unsurprisingly, mny concepts from liner lgebr nd liner ordinry

More information

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying Vitli covers 1 Definition. A Vitli cover of set E R is set V of closed intervls with positive length so tht, for every δ > 0 nd every x E, there is some I V with λ(i ) < δ nd x I. 2 Lemm (Vitli covering)

More information

Green function and Eigenfunctions

Green function and Eigenfunctions Green function nd Eigenfunctions Let L e regulr Sturm-Liouville opertor on n intervl (, ) together with regulr oundry conditions. We denote y, φ ( n, x ) the eigenvlues nd corresponding normlized eigenfunctions

More information

1 1D heat and wave equations on a finite interval

1 1D heat and wave equations on a finite interval 1 1D het nd wve equtions on finite intervl In this section we consider generl method of seprtion of vribles nd its pplictions to solving het eqution nd wve eqution on finite intervl ( 1, 2. Since by trnsltion

More information

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1.

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1. 398 CHAPTER 11 ORTHOGONAL FUNCTIONS AND FOURIER SERIES 11.1 ORTHOGONAL FUNCTIONS REVIEW MATERIAL The notions of generlized vectors nd vector spces cn e found in ny liner lger text. INTRODUCTION The concepts

More information

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 UNIFORM CONVERGENCE Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 Suppose f n : Ω R or f n : Ω C is sequence of rel or complex functions, nd f n f s n in some sense. Furthermore,

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

Math Fall 2006 Sample problems for the final exam: Solutions

Math Fall 2006 Sample problems for the final exam: Solutions Mth 42-5 Fll 26 Smple problems for the finl exm: Solutions Any problem my be ltered or replced by different one! Some possibly useful informtion Prsevl s equlity for the complex form of the Fourier series

More information

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

More information

Advanced Calculus: MATH 410 Uniform Convergence of Functions Professor David Levermore 11 December 2015

Advanced Calculus: MATH 410 Uniform Convergence of Functions Professor David Levermore 11 December 2015 Advnced Clculus: MATH 410 Uniform Convergence of Functions Professor Dvid Levermore 11 December 2015 12. Sequences of Functions We now explore two notions of wht it mens for sequence of functions {f n

More information

c n φ n (x), 0 < x < L, (1) n=1

c n φ n (x), 0 < x < L, (1) n=1 SECTION : Fourier Series. MATH4. In section 4, we will study method clled Seprtion of Vribles for finding exct solutions to certin clss of prtil differentil equtions (PDEs. To do this, it will be necessry

More information

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

Lecture 3. Limits of Functions and Continuity

Lecture 3. Limits of Functions and Continuity Lecture 3 Limits of Functions nd Continuity Audrey Terrs April 26, 21 1 Limits of Functions Notes I m skipping the lst section of Chpter 6 of Lng; the section bout open nd closed sets We cn probbly live

More information

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral Improper Integrls Every time tht we hve evluted definite integrl such s f(x) dx, we hve mde two implicit ssumptions bout the integrl:. The intervl [, b] is finite, nd. f(x) is continuous on [, b]. If one

More information

Sturm-Liouville Eigenvalue problem: Let p(x) > 0, q(x) 0, r(x) 0 in I = (a, b). Here we assume b > a. Let X C 2 1

Sturm-Liouville Eigenvalue problem: Let p(x) > 0, q(x) 0, r(x) 0 in I = (a, b). Here we assume b > a. Let X C 2 1 Ch.4. INTEGRAL EQUATIONS AND GREEN S FUNCTIONS Ronld B Guenther nd John W Lee, Prtil Differentil Equtions of Mthemticl Physics nd Integrl Equtions. Hildebrnd, Methods of Applied Mthemtics, second edition

More information

Best Approximation in the 2-norm

Best Approximation in the 2-norm Jim Lmbers MAT 77 Fll Semester 1-11 Lecture 1 Notes These notes correspond to Sections 9. nd 9.3 in the text. Best Approximtion in the -norm Suppose tht we wish to obtin function f n (x) tht is liner combintion

More information

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60.

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60. Mth 104: finl informtion The finl exm will tke plce on Fridy My 11th from 8m 11m in Evns room 60. The exm will cover ll prts of the course with equl weighting. It will cover Chpters 1 5, 7 15, 17 21, 23

More information

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS. THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS RADON ROSBOROUGH https://intuitiveexplntionscom/picrd-lindelof-theorem/ This document is proof of the existence-uniqueness theorem

More information

Summary: Method of Separation of Variables

Summary: Method of Separation of Variables Physics 246 Electricity nd Mgnetism I, Fll 26, Lecture 22 1 Summry: Method of Seprtion of Vribles 1. Seprtion of Vribles in Crtesin Coordintes 2. Fourier Series Suggested Reding: Griffiths: Chpter 3, Section

More information

Math& 152 Section Integration by Parts

Math& 152 Section Integration by Parts Mth& 5 Section 7. - Integrtion by Prts Integrtion by prts is rule tht trnsforms the integrl of the product of two functions into other (idelly simpler) integrls. Recll from Clculus I tht given two differentible

More information

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as Improper Integrls Two different types of integrls cn qulify s improper. The first type of improper integrl (which we will refer to s Type I) involves evluting n integrl over n infinite region. In the grph

More information

MAA 4212 Improper Integrals

MAA 4212 Improper Integrals Notes by Dvid Groisser, Copyright c 1995; revised 2002, 2009, 2014 MAA 4212 Improper Integrls The Riemnn integrl, while perfectly well-defined, is too restrictive for mny purposes; there re functions which

More information

Chapter 28. Fourier Series An Eigenvalue Problem.

Chapter 28. Fourier Series An Eigenvalue Problem. Chpter 28 Fourier Series Every time I close my eyes The noise inside me mplifies I cn t escpe I relive every moment of the dy Every misstep I hve mde Finds wy it cn invde My every thought And this is why

More information

Definite integral. Mathematics FRDIS MENDELU

Definite integral. Mathematics FRDIS MENDELU Definite integrl Mthemtics FRDIS MENDELU Simon Fišnrová Brno 1 Motivtion - re under curve Suppose, for simplicity, tht y = f(x) is nonnegtive nd continuous function defined on [, b]. Wht is the re of the

More information

Review of Riemann Integral

Review of Riemann Integral 1 Review of Riemnn Integrl In this chpter we review the definition of Riemnn integrl of bounded function f : [, b] R, nd point out its limittions so s to be convinced of the necessity of more generl integrl.

More information

Hilbert Spaces. Chapter Inner product spaces

Hilbert Spaces. Chapter Inner product spaces Chpter 4 Hilbert Spces 4.1 Inner product spces In the following we will discuss both complex nd rel vector spces. With L denoting either R or C we recll tht vector spce over L is set E equipped with ddition,

More information

Definite integral. Mathematics FRDIS MENDELU. Simona Fišnarová (Mendel University) Definite integral MENDELU 1 / 30

Definite integral. Mathematics FRDIS MENDELU. Simona Fišnarová (Mendel University) Definite integral MENDELU 1 / 30 Definite integrl Mthemtics FRDIS MENDELU Simon Fišnrová (Mendel University) Definite integrl MENDELU / Motivtion - re under curve Suppose, for simplicity, tht y = f(x) is nonnegtive nd continuous function

More information

LECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for

LECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for ECTURE 3 Orthogonl Functions 1. Orthogonl Bses The pproprite setting for our iscussion of orthogonl functions is tht of liner lgebr. So let me recll some relevnt fcts bout nite imensionl vector spces.

More information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

Chapter 0. What is the Lebesgue integral about?

Chapter 0. What is the Lebesgue integral about? Chpter 0. Wht is the Lebesgue integrl bout? The pln is to hve tutoril sheet ech week, most often on Fridy, (to be done during the clss) where you will try to get used to the ides introduced in the previous

More information

A BRIEF INTRODUCTION TO UNIFORM CONVERGENCE. In the study of Fourier series, several questions arise naturally, such as: c n e int

A BRIEF INTRODUCTION TO UNIFORM CONVERGENCE. In the study of Fourier series, several questions arise naturally, such as: c n e int A BRIEF INTRODUCTION TO UNIFORM CONVERGENCE HANS RINGSTRÖM. Questions nd exmples In the study of Fourier series, severl questions rise nturlly, such s: () (2) re there conditions on c n, n Z, which ensure

More information

1.9 C 2 inner variations

1.9 C 2 inner variations 46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for

More information

8 Laplace s Method and Local Limit Theorems

8 Laplace s Method and Local Limit Theorems 8 Lplce s Method nd Locl Limit Theorems 8. Fourier Anlysis in Higher DImensions Most of the theorems of Fourier nlysis tht we hve proved hve nturl generliztions to higher dimensions, nd these cn be proved

More information

MATH 174A: PROBLEM SET 5. Suggested Solution

MATH 174A: PROBLEM SET 5. Suggested Solution MATH 174A: PROBLEM SET 5 Suggested Solution Problem 1. Suppose tht I [, b] is n intervl. Let f 1 b f() d for f C(I; R) (i.e. f is continuous rel-vlued function on I), nd let L 1 (I) denote the completion

More information

Analytical Methods Exam: Preparatory Exercises

Analytical Methods Exam: Preparatory Exercises Anlyticl Methods Exm: Preprtory Exercises Question. Wht does it men tht (X, F, µ) is mesure spce? Show tht µ is monotone, tht is: if E F re mesurble sets then µ(e) µ(f). Question. Discuss if ech of the

More information

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1 The Fundmentl Theorem of Clculus As we continue to study the re problem, let s think bck to wht we know bout computing res of regions enclosed by curves. If we wnt to find the re of the region below the

More information

ENGI 9420 Lecture Notes 7 - Fourier Series Page 7.01

ENGI 9420 Lecture Notes 7 - Fourier Series Page 7.01 ENGI 940 ecture Notes 7 - Fourier Series Pge 7.0 7. Fourier Series nd Fourier Trnsforms Fourier series hve multiple purposes, including the provision of series solutions to some liner prtil differentil

More information

Riemann is the Mann! (But Lebesgue may besgue to differ.)

Riemann is the Mann! (But Lebesgue may besgue to differ.) Riemnn is the Mnn! (But Lebesgue my besgue to differ.) Leo Livshits My 2, 2008 1 For finite intervls in R We hve seen in clss tht every continuous function f : [, b] R hs the property tht for every ɛ >

More information

Fourier series. Preliminary material on inner products. Suppose V is vector space over C and (, )

Fourier series. Preliminary material on inner products. Suppose V is vector space over C and (, ) Fourier series. Preliminry mteril on inner products. Suppose V is vector spce over C nd (, ) is Hermitin inner product on V. This mens, by definition, tht (, ) : V V C nd tht the following four conditions

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 1 Sturm-Liouville Theory In the two preceing lectures I emonstrte the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series re just the tip of the iceerg of the theory

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

Math Advanced Calculus II

Math Advanced Calculus II Mth 452 - Advnced Clculus II Line Integrls nd Green s Theorem The min gol of this chpter is to prove Stoke s theorem, which is the multivrible version of the fundmentl theorem of clculus. We will be focused

More information

Lecture 14: Quadrature

Lecture 14: Quadrature Lecture 14: Qudrture This lecture is concerned with the evlution of integrls fx)dx 1) over finite intervl [, b] The integrnd fx) is ssumed to be rel-vlues nd smooth The pproximtion of n integrl by numericl

More information

f(x)dx . Show that there 1, 0 < x 1 does not exist a differentiable function g : [ 1, 1] R such that g (x) = f(x) for all

f(x)dx . Show that there 1, 0 < x 1 does not exist a differentiable function g : [ 1, 1] R such that g (x) = f(x) for all 3 Definite Integrl 3.1 Introduction In school one comes cross the definition of the integrl of rel vlued function defined on closed nd bounded intervl [, b] between the limits nd b, i.e., f(x)dx s the

More information

Integral points on the rational curve

Integral points on the rational curve Integrl points on the rtionl curve y x bx c x ;, b, c integers. Konstntine Zeltor Mthemtics University of Wisconsin - Mrinette 750 W. Byshore Street Mrinette, WI 5443-453 Also: Konstntine Zeltor P.O. Box

More information

Bernoulli Numbers Jeff Morton

Bernoulli Numbers Jeff Morton Bernoulli Numbers Jeff Morton. We re interested in the opertor e t k d k t k, which is to sy k tk. Applying this to some function f E to get e t f d k k tk d k f f + d k k tk dk f, we note tht since f

More information

Main topics for the First Midterm

Main topics for the First Midterm Min topics for the First Midterm The Midterm will cover Section 1.8, Chpters 2-3, Sections 4.1-4.8, nd Sections 5.1-5.3 (essentilly ll of the mteril covered in clss). Be sure to know the results of the

More information

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1 Exm, Mthemtics 471, Section ETY6 6:5 pm 7:4 pm, Mrch 1, 16, IH-115 Instructor: Attil Máté 1 17 copies 1. ) Stte the usul sufficient condition for the fixed-point itertion to converge when solving the eqution

More information

Notes on length and conformal metrics

Notes on length and conformal metrics Notes on length nd conforml metrics We recll how to mesure the Eucliden distnce of n rc in the plne. Let α : [, b] R 2 be smooth (C ) rc. Tht is α(t) (x(t), y(t)) where x(t) nd y(t) re smooth rel vlued

More information

Math Theory of Partial Differential Equations Lecture 2-9: Sturm-Liouville eigenvalue problems (continued).

Math Theory of Partial Differential Equations Lecture 2-9: Sturm-Liouville eigenvalue problems (continued). Mth 412-501 Theory of Prtil Differentil Equtions Lecture 2-9: Sturm-Liouville eigenvlue problems (continued). Regulr Sturm-Liouville eigenvlue problem: d ( p dφ ) + qφ + λσφ = 0 ( < x < b), dx dx β 1 φ()

More information

4 Sturm-Liouville Boundary Value Problems

4 Sturm-Liouville Boundary Value Problems 4 Sturm-Liouville Boundry Vlue Problems We hve seen tht trigonometric functions nd specil functions re the solutions of differentil equtions. These solutions give orthogonl sets of functions which cn be

More information

UNIFORM CONVERGENCE MA 403: REAL ANALYSIS, INSTRUCTOR: B. V. LIMAYE

UNIFORM CONVERGENCE MA 403: REAL ANALYSIS, INSTRUCTOR: B. V. LIMAYE UNIFORM CONVERGENCE MA 403: REAL ANALYSIS, INSTRUCTOR: B. V. LIMAYE 1. Pointwise Convergence of Sequence Let E be set nd Y be metric spce. Consider functions f n : E Y for n = 1, 2,.... We sy tht the sequence

More information

Applied Partial Differential Equations with Fourier Series and Boundary Value Problems 5th Edition Richard Haberman

Applied Partial Differential Equations with Fourier Series and Boundary Value Problems 5th Edition Richard Haberman Applied Prtil Differentil Equtions with Fourier Series nd Boundry Vlue Problems 5th Edition Richrd Hbermn Person Eduction Limited Edinburgh Gte Hrlow Essex CM20 2JE Englnd nd Associted Compnies throughout

More information

Riemann Sums and Riemann Integrals

Riemann Sums and Riemann Integrals Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 2013 Outline 1 Riemnn Sums 2 Riemnn Integrls 3 Properties

More information

Continuous Random Variables

Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 217 Néhémy Lim Continuous Rndom Vribles Nottion. The indictor function of set S is rel-vlued function defined by : { 1 if x S 1 S (x) if x S Suppose tht

More information

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature CMDA 4604: Intermedite Topics in Mthemticl Modeling Lecture 19: Interpoltion nd Qudrture In this lecture we mke brief diversion into the res of interpoltion nd qudrture. Given function f C[, b], we sy

More information

Section 6.1 INTRO to LAPLACE TRANSFORMS

Section 6.1 INTRO to LAPLACE TRANSFORMS Section 6. INTRO to LAPLACE TRANSFORMS Key terms: Improper Integrl; diverge, converge A A f(t)dt lim f(t)dt Piecewise Continuous Function; jump discontinuity Function of Exponentil Order Lplce Trnsform

More information

Math 270A: Numerical Linear Algebra

Math 270A: Numerical Linear Algebra Mth 70A: Numericl Liner Algebr Instructor: Michel Holst Fll Qurter 014 Homework Assignment #3 Due Give to TA t lest few dys before finl if you wnt feedbck. Exercise 3.1. (The Bsic Liner Method for Liner

More information

(4.1) D r v(t) ω(t, v(t))

(4.1) D r v(t) ω(t, v(t)) 1.4. Differentil inequlities. Let D r denote the right hnd derivtive of function. If ω(t, u) is sclr function of the sclrs t, u in some open connected set Ω, we sy tht function v(t), t < b, is solution

More information

Orthogonal Polynomials

Orthogonal Polynomials Mth 4401 Gussin Qudrture Pge 1 Orthogonl Polynomils Orthogonl polynomils rise from series solutions to differentil equtions, lthough they cn be rrived t in vriety of different mnners. Orthogonl polynomils

More information

Chapter 14. Matrix Representations of Linear Transformations

Chapter 14. Matrix Representations of Linear Transformations Chpter 4 Mtrix Representtions of Liner Trnsformtions When considering the Het Stte Evolution, we found tht we could describe this process using multipliction by mtrix. This ws nice becuse computers cn

More information

1 The Riemann Integral

1 The Riemann Integral The Riemnn Integrl. An exmple leding to the notion of integrl (res) We know how to find (i.e. define) the re of rectngle (bse height), tringle ( (sum of res of tringles). But how do we find/define n re

More information

Riemann Sums and Riemann Integrals

Riemann Sums and Riemann Integrals Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 203 Outline Riemnn Sums Riemnn Integrls Properties Abstrct

More information

FUNDAMENTALS OF REAL ANALYSIS by. III.1. Measurable functions. f 1 (

FUNDAMENTALS OF REAL ANALYSIS by. III.1. Measurable functions. f 1 ( FUNDAMNTALS OF RAL ANALYSIS by Doğn Çömez III. MASURABL FUNCTIONS AND LBSGU INTGRAL III.. Mesurble functions Hving the Lebesgue mesure define, in this chpter, we will identify the collection of functions

More information

Improper Integrals, and Differential Equations

Improper Integrals, and Differential Equations Improper Integrls, nd Differentil Equtions October 22, 204 5.3 Improper Integrls Previously, we discussed how integrls correspond to res. More specificlly, we sid tht for function f(x), the region creted

More information

21.6 Green Functions for First Order Equations

21.6 Green Functions for First Order Equations 21.6 Green Functions for First Order Equtions Consider the first order inhomogeneous eqution subject to homogeneous initil condition, B[y] y() = 0. The Green function G( ξ) is defined s the solution to

More information

Notes on the Eigenfunction Method for solving differential equations

Notes on the Eigenfunction Method for solving differential equations Notes on the Eigenfunction Metho for solving ifferentil equtions Reminer: Wereconsieringtheinfinite-imensionlHilbertspceL 2 ([, b] of ll squre-integrble functions over the intervl [, b] (ie, b f(x 2

More information

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.)

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.) MORE FUNCTION GRAPHING; OPTIMIZATION FRI, OCT 25, 203 (Lst edited October 28, 203 t :09pm.) Exercise. Let n be n rbitrry positive integer. Give n exmple of function with exctly n verticl symptotes. Give

More information

Chapter 3 Polynomials

Chapter 3 Polynomials Dr M DRAIEF As described in the introduction of Chpter 1, pplictions of solving liner equtions rise in number of different settings In prticulr, we will in this chpter focus on the problem of modelling

More information

p-adic Egyptian Fractions

p-adic Egyptian Fractions p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction

More information

INTRODUCTION TO INTEGRATION

INTRODUCTION TO INTEGRATION INTRODUCTION TO INTEGRATION 5.1 Ares nd Distnces Assume f(x) 0 on the intervl [, b]. Let A be the re under the grph of f(x). b We will obtin n pproximtion of A in the following three steps. STEP 1: Divide

More information

Sections 5.2: The Definite Integral

Sections 5.2: The Definite Integral Sections 5.2: The Definite Integrl In this section we shll formlize the ides from the lst section to functions in generl. We strt with forml definition.. The Definite Integrl Definition.. Suppose f(x)

More information

(9) P (x)u + Q(x)u + R(x)u =0

(9) P (x)u + Q(x)u + R(x)u =0 STURM-LIOUVILLE THEORY 7 2. Second order liner ordinry differentil equtions 2.1. Recll some sic results. A second order liner ordinry differentil eqution (ODE) hs the form (9) P (x)u + Q(x)u + R(x)u =0

More information

The Henstock-Kurzweil integral

The Henstock-Kurzweil integral fculteit Wiskunde en Ntuurwetenschppen The Henstock-Kurzweil integrl Bchelorthesis Mthemtics June 2014 Student: E. vn Dijk First supervisor: Dr. A.E. Sterk Second supervisor: Prof. dr. A. vn der Schft

More information

Integration Techniques

Integration Techniques Integrtion Techniques. Integrtion of Trigonometric Functions Exmple. Evlute cos x. Recll tht cos x = cos x. Hence, cos x Exmple. Evlute = ( + cos x) = (x + sin x) + C = x + 4 sin x + C. cos 3 x. Let u

More information

Euler, Ioachimescu and the trapezium rule. G.J.O. Jameson (Math. Gazette 96 (2012), )

Euler, Ioachimescu and the trapezium rule. G.J.O. Jameson (Math. Gazette 96 (2012), ) Euler, Iochimescu nd the trpezium rule G.J.O. Jmeson (Mth. Gzette 96 (0), 36 4) The following results were estblished in recent Gzette rticle [, Theorems, 3, 4]. Given > 0 nd 0 < s

More information

Introduction to the Calculus of Variations

Introduction to the Calculus of Variations Introduction to the Clculus of Vritions Jim Fischer Mrch 20, 1999 Abstrct This is self-contined pper which introduces fundmentl problem in the clculus of vritions, the problem of finding extreme vlues

More information

Chapter 5 : Continuous Random Variables

Chapter 5 : Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 216 Néhémy Lim Chpter 5 : Continuous Rndom Vribles Nottions. N {, 1, 2,...}, set of nturl numbers (i.e. ll nonnegtive integers); N {1, 2,...}, set of ll

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of

More information

In Section 5.3 we considered initial value problems for the linear second order equation. y.a/ C ˇy 0.a/ D k 1 (13.1.4)

In Section 5.3 we considered initial value problems for the linear second order equation. y.a/ C ˇy 0.a/ D k 1 (13.1.4) 678 Chpter 13 Boundry Vlue Problems for Second Order Ordinry Differentil Equtions 13.1 TWO-POINT BOUNDARY VALUE PROBLEMS In Section 5.3 we considered initil vlue problems for the liner second order eqution

More information

Chapter 5. , r = r 1 r 2 (1) µ = m 1 m 2. r, r 2 = R µ m 2. R(m 1 + m 2 ) + m 2 r = r 1. m 2. r = r 1. R + µ m 1

Chapter 5. , r = r 1 r 2 (1) µ = m 1 m 2. r, r 2 = R µ m 2. R(m 1 + m 2 ) + m 2 r = r 1. m 2. r = r 1. R + µ m 1 Tor Kjellsson Stockholm University Chpter 5 5. Strting with the following informtion: R = m r + m r m + m, r = r r we wnt to derive: µ = m m m + m r = R + µ m r, r = R µ m r 3 = µ m R + r, = µ m R r. 4

More information

1. Gauss-Jacobi quadrature and Legendre polynomials. p(t)w(t)dt, p {p(x 0 ),...p(x n )} p(t)w(t)dt = w k p(x k ),

1. Gauss-Jacobi quadrature and Legendre polynomials. p(t)w(t)dt, p {p(x 0 ),...p(x n )} p(t)w(t)dt = w k p(x k ), 1. Guss-Jcobi qudrture nd Legendre polynomils Simpson s rule for evluting n integrl f(t)dt gives the correct nswer with error of bout O(n 4 ) (with constnt tht depends on f, in prticulr, it depends on

More information

Conservation Law. Chapter Goal. 5.2 Theory

Conservation Law. Chapter Goal. 5.2 Theory Chpter 5 Conservtion Lw 5.1 Gol Our long term gol is to understnd how mny mthemticl models re derived. We study how certin quntity chnges with time in given region (sptil domin). We first derive the very

More information

1 E3102: a study guide and review, Version 1.0

1 E3102: a study guide and review, Version 1.0 1 E3102: study guide nd review, Version 1.0 Here is list of subjects tht I think we ve covered in clss (your milege my vry). If you understnd nd cn do the bsic problems in this guide you should be in very

More information

Math 554 Integration

Math 554 Integration Mth 554 Integrtion Hndout #9 4/12/96 Defn. A collection of n + 1 distinct points of the intervl [, b] P := {x 0 = < x 1 < < x i 1 < x i < < b =: x n } is clled prtition of the intervl. In this cse, we

More information

STURM-LIOUVILLE THEORY, VARIATIONAL APPROACH

STURM-LIOUVILLE THEORY, VARIATIONAL APPROACH STURM-LIOUVILLE THEORY, VARIATIONAL APPROACH XIAO-BIAO LIN. Qudrtic functionl nd the Euler-Jcobi Eqution The purpose of this note is to study the Sturm-Liouville problem. We use the vritionl problem s

More information