AMATH 731: Applied Functional Analysis Fall Sobolev spaces, weak solutions, Part II
|
|
- Cathleen Gibbs
- 5 years ago
- Views:
Transcription
1 AMATH 731: Applied Functionl Anlysis Fll 217 Sobolev spces, wek solutions, Prt II (To ccompny Section 4.6 of the AMATH 731 Course Notes) In the previous hndout, we considered the following problem u (x)+g(x)u(x) = f(x), u() = u(b) =, (1) s motivtion for the study of wek solutions of DEs. Both sides of this eqution were multiplied by test function φ Cc (,b), with compct support in (,b): b b b u (x)φ(x) dx+ g(x)u(x)φ(x) dx = f(x)φ(x) dx. (2) Integrtion by prts then yielded the following eqution b b b u (x)φ (x) dx+ g(x)u(x)φ(x) dx = f(x)φ(x) dx, (3) where the boundry terms dispper due to the fct tht φ() = φ(b) =. Eq. (3) hs the form B(u,φ) = f,φ, (4) where, denotes the usul inner product on L 2 [,b] nd B(, ) denotes biliner form, i.e., (bounded) functionl tht is liner in ech of its two rguments. The gol is to determine wek solutions of Eq. (1) in terms of this eqution involving functionls. As will be seen below, we shll write tht, under pproprite conditions on B there exists unique function u tht stisfies the eqution B(u,v) = f,v (5) for ll v H, where H is n pproprite Hilbert spce. This function u will be clled the wek solution of Eq. (1). The so-clled Lx-Milgrm Theorem for bounded biliner functionls, to be discussed below, will gurntee the existence of such unique solution u. Riesz Representtion Theorem It is first instructive to recll this fundmentl result for bounded liner functionls (cf. Course Notes, p. 65). Theorem 1 Let F : H R be bounded liner functionl on Hilbert spce H. Then there exists unique z H so tht F(x) = x,z for ll x H. Moreover, F = z. Biliner forms nd the Lx-Milgrm Theorem Definition 1 A biliner form or functionl B on Hilbert spce H is mpping B : H H R such tht (x,y) is liner in ech of x,y H, i.e., for ll u 1,u 2,w H, nd c 1,c 2 R, B(c 1 u 1 +c 2 u 2,w) = c 1 B(u 1,w)+c 2 B(u 2,w), B(w,c 1 u 1 +c 2 u 2 ) = c 1 B(w,u 1 )+c 2 B(w,u 2 ). (6) 1
2 Theorem 2 (Lx-Milgrm) Let B : H H R be biliner functionl such tht the following conditions re stisfied: There exist constnts,b > such tht for ll u,v H, Finlly, let F : H R be bounded liner functionl on H. Then there exists unique element u H such tht B(u,v) b u v, (7) B(u,u) u 2. (8) B(u,v) = F(v), for ll v H. (9) Proof: 1. For ech fixed element u H, the mpping v B(u,v) is bounded liner functionl on H the boundedness follows from (7). From the Riesz Representtion Theorem, there exists unique element w H stisfying B(u,v) = w,v, v H. (1) This defines mpping A : u w so tht we shll write the bove s B(u,v) = Au,v, u,v H. (11) (Snek Preview/Spoiler Alert: Now go bck to Eq. (9) nd use the Riesz Representtion once gin to estblish tht for unique p H. From (11) nd (12) we hve tht Idelly, our solution is then given by But does this solution exist, i.e., does A 1 exist?) B(u,v) = F(v) = p,v (12) Au,v = p,v = Au = p. (13) u = A 1 p. (14) 2. We clim tht A : H H is bounded liner opertor: For c 1,c 2 R nd u 1,u 2 H, In ddition, implying tht Therefore, A is bounded. Also note tht A(c 1 u 1 +c 2 u 2 ),v = B(c 1 u 1 +c 2 u 2,v) (from 11) = c 1 B(u 1,v)+c 2 B(u 2,v) = c 1 Au 1,v +c 2 Au 2,v (from 11) = c 1 Au 1 +c 2 Au 2,v. (15) Au 2 = Au,Au = B(u,Au) b u Au, (16) Au b u, for ll u H. (17) u 2 B(u,u) = Au,u Au u (18) implying tht u Au, for ll u H. (19) 2
3 Therefore A is bounded from below. 3. We now show tht the rnge of A, R(A) is closed subspce of H. Let {v n } R(A) be Cuchy sequence with limit v H. Since ech v n R(A), there exists u n H such tht Au n = v n. From (19), u n u m Au n Au m = v n v m, (2) implying tht the sequence {u n } is lso Cuchy. Let u H denote the limit of this sequence. Since A is bounded, hence continuous, it follows tht Therefore v R(A), implying tht R(A) is closed. v = lim n v n = lim n Au n = A( lim n u n) = Au. (21) 4. From (19), A : H R(A) is bounded from below, implying tht n inverse opertor A 1 exists, i.e., A is one-to-one. 5. We now show tht R(A) = H. Assume tht R(A) H. Then, since R(A) is closed, there exists nonzero element w H such tht w R(A). But Aw R(A). This implies tht w 2 B(w,w) = Aw,w =, contrdicting (8). Therefore R(A) = H. 6. Now consider the given functionl F(v). From the Riesz Representtion Theorem, there exists p H such tht F(v) = p,v. From 4. nd 5., there exists u H such tht Au = p, i.e., u = A 1 p, so tht, from (11), B(u,v) = p,v = F(v). (22) 7. Finlly, we show tht there is t most one element u H stisfying (9). Assume the contrry, i.e., tht B(u,v) = F(v) nd B(ū,v) = F(v) for ll v H. Then, by linerity, B(u ū,v) = for v H. Set v = u ū to give, from (8), u ū 2 B(u ū,u ū) =. Therefore u = ū, nd the theorem is proved. Appliction to one-dimensionl boundry-vlue problem We first consider the following boundry vlue problem: u (x) = f(x), x 1, u() = u(1) =. (23) A physicl interprettion of this problem is tht u(x) is the trnsverse deflection (in the y-direction) of homogeneous string t point x under the influence of force f(x) (ctully force density more on this lter) cting in the y-direction. (We lso ssume the use of pproprite units tht simplify the form of the problem.) Note tht in this problem, the string is clmped t both ends, i.e., x = nd x = 1. Brief note on the origin of the bove eqution: Recll the 1D PDE for homogeneous vibrting string with n externl force f(x), 2 u t 2 = u c2 2 +f(x), x 1, (24) x2 where c 2 = T/ρ. (T is the tension in the string nd ρ the linel mss density (mss/unit length), both ssumed to be constnt.) For simplicity, we hve set c = 1. Eq. (23) corresponds to the stedystte, or time-independent, solution u(x,t) = u(x), i.e., u t =. 3
4 Using rguments similr to those in the previous hndout, the totl strin or elstic energy of the string is nd the totl work of the externl force is U = 1 2 W = The ssocited energy functionl J(u) for this problem is given by J(u) = 1 2 [u (x)] 2 dx, (25) f(x)u(x) dx. (26) [u (x)] 2 dx f(x)u(x) dx, (27) These three equtions hve the sme form s for the one-dimensionl rod problem exmined in the previous hndout. Following the sme type of vritionl method s before, one cn show tht the minimizer u of J(u) corresponds to the solution of (23): J(u +ǫv) = J(u )+ǫdj(u )v ǫ2 [v (x)] 2 dx. (28) But DJ(u ) = since u is solution to Eq. (23), implying tht J(u +ǫv) > J(u ). (29) Clssicl tretment nd its limittions In the clssicl picture indeed, the one employed erlier in this course one ssumes tht f C[,1] so tht u C 2 [,1]. The solution u of (23) my be expressed in terms of f using the Green s function ssocited with this boundry-vlue problem: where g(x,y) = u(x) = g(x, y)f(y) dy, (3) { y(1 x), y x 1, x(1 y), x y 1, Since f is ssumed to be C[,1], everything is nice here, nd u is twice differentible. But wht if f is not so nice? Well, if f were n L 1 function, the integrl would still mke sense nd u(x) would be defined. But wht bout u (x)? For exmple, wht bout the cse where f(x) is force concentrted t point? Such forces re often modelled with Dirc delt function, which corresponds to force of finite strength, sy A, (with A > corresponding to n upwrd-pointing force, A < to downwrd-pointing force) concentrted t point < < 1, implying tht the force density is infinite. Bypssing rigour for the moment, such force would be written s (31) f(x) = Aδ(x ). (32) Even in clssicl tretments, this expression for f(x) is usully inserted into into (3), keeping in mind the property tht, for ny v C[,1], The result is v(x)δ(x ) dx = v(). (33) u(x) = A g(x,y)δ(y ) dy = Ag(x,), (34) 4
5 implying tht u(x) = { Ax(1 ), x 1, A(1 x), x 1, Thus the grph of u(x) hs tringulr shpe, with vertex t x =, for which u() = A(1 ): F = Aδ(x )j (35) A(1 ) 1 The result, s is well known in undergrdute courses, is tht u(x) is not differentible t x = ; it is, however, piecewise differentible. In other words, we hve to move wy from the very nice spce u C 2 [,1]. From the discussion of the previous hndout, we see tht this solution for u(x) is well ccomodted in the energy spce, E R, or, equivlently, the Sobolev spce W 1,2, since [u (x)] 2 dx <. (36) Finlly, we mke comment regrding the reltionship of the Dirc delt function δ(x) nd the Green s function g(x, y) for this problem reltionship tht pplies to other similr boundry-vlue problems. For simplicity, let the mplitude of the point force be A = 1. Then, for point force f(x) locted t (,b), i.e., f(x) = δ(x ), the function u(x) = g(x,) the Green s function itself is seen to be the solution to the eqution u = δ(x ). (37) This result lso pplies to the problem of point electric chrges nd ssocited potentils. It is often stted in textbooks nd cn be proved rigorously using generlized functions nd ssocited wek derivtives see E. Zeidler, Applied Functionl Anlysis, Applictions to Mthemticl Physics, Springer-Verlg (1997), p Wek derivtive/sobolev spce tretment We now relx the restriction tht f C[,1] in (23) to f L 2 [,1] nd pply the method of wek derivtives in Sobolev spces to thisproblem. We ll work inthe spcewc 1,2 (, 1), the spce of functions with compct support on (,1) nd norm ( 1/2 u 1,2 = ([u(x)] 2 +[u (x)] 2 ) dx) (38) The most importnt spect of this spce is tht the (wek) derivtive u (x) is L 2 -integrble, cf. Eq. (36). Note: In the literture, the following nottion, W k,p c (D) is often denoted s W k,p (D). In ddition, the p = 2 Sobolev spces re often denoted s H k (D) = W k,2 (D), (39) 5
6 cknowledging tht these spces re Hilbert spces. Once gin, the superscript, i.e., H k (D), will be used to denote the subspce of functions with compct support on (,1). This is lso the nottion used in the AMATH 731 Course Notes. We dopt this nottion below. We now return to Eq. (23), u (x) = f(x), x 1, u() = u(1) =, (4) multiply both sides of it with n rbitrry element v H 1 (D) nd integrte by prts to give u (x)v (x) dx = f(x)v(x) dx, v H 1 (D), (41) where it is understood tht u (x) represents the generlized or wek derivtive of u(x). Eq. (41) hs the form B(u,v) = F(v), (42) where the biliner functionl B(u, v) nd the liner functionl F(v) re defined, respectively, s B(u,v) = u,v = F(v) = f,v = u (x)v (x) dx, f(x)v(x) dx. (43) We now seek to pply the Lx-Milgrm theorem to estblish the existence of unique solution u H 1 (D) to (41), hence to (23). First of ll, the liner functionl F(v) is bounded: ( ) 1/2 ( 1/2 F(v) = f(x)v(x) dx f(x) 2 dx v(x) dx) 2 <. (44) As for the biliner functionl B(u,v), it is bounded from bove: B(u,v) ( u (x) v (x) dx ) 1/2 ( ) 1/2 u (x) 2 dx v (x) 2 dx u H 1 v H 1, (45) thereby estblishing tht the condition (7) for the Lx-Milgrm Theorem is stisfied. Estblishing the second condition (8), i.e., bounding B(u,u) from below, is little trickier. We hve to resort to Poincré s Inequlity, cf. Theorem 4.9, AMATH 731 Course Notes, p. 68. Actully, the onedimensionl version of Corollry 4.2, on p. 69, is sufficient for this problem: There exists constnt c 1 > such tht u 2 H 1 (c 1 +1) u (x) 2 dx, for ll u H(,1). 1 (46) (In the 1D cse, the proof is quite simple, see below.) Since it follows tht B(u,u) = [u (x)] 2 dx, (47) 1 c 1 +1 u 2 H 1 B(u,u). (48) 6
7 Therefore, B stisfies both conditions of the Lx-Milgrm Theorem. We cn conclude tht there exists unique element u H 1 (,1) tht stisfies (42), therefore (41), nd therefore the boundry-vlue problem (23) in the generlized sense. Proof of Eq. (46): We first consider u C 1 (,1). From the Fundmentl Theorem of Clculus, for x (,1): x u(t)u (t) dt = 1 2 u(x)2 1 2 u()2 = 1 2 u(x)2. (49) But from the Cuchy-Schwrz inequlity, [ u(x)u (x) dx Combining these two results, we hve tht ] 1/2 [ 1/2 u(x) 2 dx u (x) dx] 2. (5) [ ] 1/2 [ 1/2 u(x) 2 2 u(x) 2 dx u (x) dx] 2. (51) This implies tht [ ] 1/2 [ 1/2 u(x) 2 dx 2 u(x) 2 dx u (x) dx] 2. (52) Squring both sides nd rerrnging yields Adding u(x) 2 dx 4 [u (x)] 2 dx. (53) u (x) 2 dx to both sides shows tht Eq. (46) is stisfied for ny u C 1 (,1), with c 1 = 4. For the cse u H 1(,1), there is sequence {u n} C 1(,1) such tht u n u in H 1-norm. Since Eq. (46) is stisfied by ll u n C 1 (,1), it will be stisfied for u. Finite elements nd the Ritz method We now outline procedure, bsed on the so-clled method of finite moments, nd the Ritz method, to provide pproximte solutions to the boundry-vlue problem (23). In wht follows, we outline the ppliction of the method to boundry-vlue problem over the generl intervl [, b], i.e., u() = u(b) =. Clerly, for the bove problem, =, b = 1. First, divide the intervl [,b] into n+1 equl subintervls using the prtition = < 1 < 2 < < n < n+1 = b, (54) where By definition, finite element j = j (b ). (55) n+1 is piecewise (tringulr-shped) liner function with e in : [,b] R, i = 1,2,,n, (56) e in ( i ) = 1, nd e in ( j ) =, for ll j i. (57) We define X n = spn{e 1n,e 2n,,e nn }. (58) 7
8 1 e 1n e 2n e 3n e nn n b Then u n X n if u n (x) = c in e in. (59) Note: Ech function e in stisfies the boundry condition e in () = e in (b) =, which implies tht u n () = u n (b) =, for ll u n X n. (6) The function u n X n is piecewise liner nd u n ( i ) = c in for ll i = 1,2,,n. Therefore the spce X n consists of ll piecewise liner functions with respect to the points, 1, 2,, n,b which stisfy the boundry-vlue condition u() = u(b) =. We now return to the energy functionl J(u) ssocited with this BVP, cf. Eq. (27), but now in the Sobolev spce H 1 (,b): J(u) = 1 2 b [u (x)] 2 dx f(x)u(x) dx, u H 1 (,b). (61) The minimiztion of this functionl with respect to functions u n X n is Ritz problem: min F(u n ). (62) u n X n This represents minimiztion problem with respect to the rel vribles c 1n,c 2n,,c nn in Eq. (59). If u n is solution to (62), then This produces the so-clled Ritz equtions: b u ne jn dx = c jn F(u n ) =, j = 1,2,,n. (63) Explicitly, we hve liner system of equtions in the unknowns c in : b For ech n, this liner system hs the form where e jn f dx, u n X n, j = 1,2,,n. (64) b b c in e ine jn dx = e jn f dx, j = 1,2,,n. (65) Ac = f, (66) ij = e i,e j, c i = c in, f i = e jn,f, 1 i,j n. (67) The mtrix A is quite concentrted ner the digonl, given tht the finite element e jn overlps only with itself nd its two immedite neighbours e j±1,n. 8
9 Proposition 1 (The Ritz method vi finite elements) Let f C[,b]. Then the bove Ritz method converges to the unique solution u of the boundry-vlue problem (23) in the sense of the Sobolev spce H 1 (,b) = W1,2 (, b), i.e. u u n 1,2 s n. (68) For proof of this proposition, s well s rigorous estimte of the error, see E. Zeidler, Applied Functionl Anlysis, Applictions to Mthemticl Physics, Springer-Verlg (1997). Wek solutions of PDEs Second-order elliptic PDEs Here we consider briefly boundry-vlue problems of the form Lu = f in D, u = on D, (69) where D is n open, bounded set of R n. Here, f : D R nd g : D R is given. L denotes second-order prtil differentil opertor, expressed in so-clled divergence form, Lu = xj ( ij (x) xi u)+ b i (x) xi u+c(x)u, (7) i,j=1 which is menble for tretments involving integrtion by prts, e.g., energy methods, wek solutions. The requirement tht u = on the boundry D is known s the Dirichlet boundry condition. Another clss of problems is s follows, Lu = in D, u = g on D. (71) This generlized Dirichlet problem in R 2, for which f =, is the subject of Question No. 6 in Problem Set 5 of the AMATH 751 Course Notes. Such boundry-vlue problem would rise when trying to find the electrosttic potentil u(x) inside chrge-free region D, produced by given chrge density g on the boundry D. With n eye to pplictions, we shll ssume tht ij = ji, 1 i,j n. (72) As well, we consider only elliptic prtil differentil opertors L, i.e., those for which the following condition holds: There exists constnt C > such tht ij (x)ξ i ξ j C ξ 2, (73) for (lmost) ll x D nd ll ξ R n. For L to be elliptic mens tht the symmetric n n mtrix A(x) is positive definite, with smllest eigenvlue λ C. Specil cse: ii = 1, ij = for i j, b i =, c = in (7), in which cse L = 2 =, the negtive Lplcin opertor. Physicl interprettion: Second-order elliptic PDEs re generliztions of Lplce s nd Poisson s equtions. Let us first review briefly some pplictions tht give rise to Lplce s eqution. Typiclly, 9
10 function u will denote the mount or density of some quntity (e.g., temperture, electrosttic potentil, chemicl concentrtion) in equilibrium. Then if V is n rbitrry subregion within D, with smooth boundry V, then the net flux of u through V is zero, i.e. F n ds =, (74) V where F denotes the flux density (discussed below) nd n the unit outer norml vector field to S. From the Divergence Theorem, F n ds = div F dx =, (75) implying tht V V div F = F = in D, (76) since V ws rbitrry. In mny pplictions, it is resonble ssumption tht the flux F is proportionl to the grdient u, but pointing in the opposite direction, since the flow will be from regions of higher concentrtion to those of lower concentrtion. In other words, Substitution into (76) yields Lplce s eqution F = K u, K >. (77) ( u) = 2 u =. (78) Some exmples: u flux lw in Eq. (77) chemicl concentrtion Fick s lw of diffusion temperture Fourier s lw of het conduction electrosttic potentil Ohm s lw of electricl conduction A clssicl exmple in electrosttics comes from the fundmentl eqution, div E(x) = ρ(x) ǫ, (79) where E(x) denotes the electric field t x R n due to chrge density ρ(x). (Here, ǫ is the permittivity of the vcuum.) Since E = V, (8) where V denotes the ssocited electrosttic potentil function, we hve 2 V = ρ ǫ, (81) or Poisson s eqution. Of course, in the bsence of chrge, this eqution reduces to Lplce s eqution. In the more generl cse, i.e., the opertor in Eq. (7), the second-order terms involving the ij represents diffusion within region D the coefficients ij describe the nisotropic, heterogeneous nture of the medium. The first-order terms involving the b i represent trnsport within D. The zeroth-order term cu describes locl cretion or depletion (for exmple, in chemicl pplictions, due to rections tht either produce or consume the chemicl). 1
11 In wht follows, it will be ssumed tht ij (x), b i (x), c(x) C(D). (82) This ssumption could be relxed even further to L (D). Furthermore, we ssume tht f L 2 (D). (83) We work in the Hilbert spce of functions H 1 (D) = W1,2 (D). We now multiply both sides of the eqution Lu = f by function v H 1 (D) nd integrte the first term by prts to obtin ij u xi v xj + b i u xi v +cuv dx = fv dx, (84) D i,j=1 D where Eq. (84) now hs the form u xi = xi u, etc.. (85) B(u,v) = F(v), for u,v H 1 (D), (86) where F(v) = f,v = fv dx (87) D is the liner functionl nd B(u,v) = ij u xi v xj + b i u xi v +cuv dx (88) D i,j=1 is the biliner form ssocited with the divergence form elliptic opertor L defined in (7). We now sy tht u H 1 (D) is wek solution of the boundry-vlue problem (69) if for ll v H 1 (D). B(u,v) = F(v) (89) Theorem 3 (Energy estimtes) There exist constnts α,β > nd γ such tht B(u,v) α u H 1 (D) v H 1 (D) (9) β u H 1 (D) B(u,u)+γ u L 2 (D). (91) Proof: See Prtil Differentil Equtions, by L.C. Evns, AMS (1998), pp Notethtifγ > intheboveestimtes, thenb(,)doesnotpreciselystisfythesecondhypothesis of the Lx-Milgrm theorem. A slight tinkering must be performed see the book by Adms, pp In the cse of the Lplcin opertor, the bove theorem (Energy estimtes) holds true for γ =. 11
12 Second-order prbolic PDEs We simply mention briefly tht the ide of wek solutions my be pplied PDEs tht involve time, often referred to s PDE evolution equtions. Second-order prbolic PDEs re generliztions of the het eqution, involving first-order time derivtive. (This is in contrst to hyperbolic equtions tht involve second-order time derivtives, e.g., the wve eqution.) In fct, the wek solution pproch provides the bsis of the so-clled Glerkin s method of computing pproximtions to these equtions. In wht follows, we ssume D to once gin be n open, bounded subset of R n nd define D T = D (,T] for some fixed time T >. We now consider the initil/boundry-vlue problem u t +Lu = f in D T, u = on D [,T], u = g on D {t = }. (92) L denotes for ech time t second-order prtil differentil opertor in divergence form, Lu = xj ( ij (x,t) xi u)+ b i (x,t) xi u+c(x,t)u, (93) i,j=1 We lso ssume tht the opertor L is uniformely elliptic for ech time t [,T], i.e., there exists constnt C > such tht (cf. Eq. (73), ij (x,t)ξ i ξ j C ξ 2. (94) In this cse, one sys tht the opertor +L is (uniformly) prbolic. t Specil cse: Once gin, ii = 1, ij = for i j, b i =, c = in (7), in which cse L = 2 =, the negtive Lplcin opertor, so tht the PDE u t 2 = f (95) becomes the het eqution, with source term f. In physicl pplictions, generl second-order prbolic equtions describe the time-evolution of quntity, e.g., chemicl concentrtion, within region D. Proceeding in mnner quite similr to tht for elliptic equtions, we ssume tht ij (x), b i (x), c(x) C(D), f L 2 (D T ), g L 2 (D). (96) We lso ssume tht ij = ji. As for the elliptic cse, we work in the Hilbert spce of functions H 1 (D) = W1,2 (D). Multiplying the opertor in (93) with v H 1 (D) nd integrting the first term by prts yields time-dependent biliner form B(u,v;t) = ij (,t)u xi v xj + b i (,t)u xi v +c(,t)uv dx, u,v H 1 (D). (97) D i,j=1 12
13 It is then tempting to write down n eqution involving time-vrying biliner nd liner functionls, B nd F, respectively, involving the function u = u(x,t). The stndrd procedure, however, is to ssocite with u mpping u : [,T] H 1 (D) (98) defined by [u(t)](x) := u(x,t) (x D, t T). (99) In other words, u will not be considered s function of x nd t but rther s mpping u of t into the spce H 1 (D) of functions of x. Similrily, one defines f : [,T] L 2 (D) (1) by [f(t)](x) := f(x,t) (x D, t T). (11) We now multiply the PDE u t + Lu = f by fixed function v H 1 (D) nd integrte by prts to produce u,v +B(u,v) = f,v, (12) for ech t T, where the prime represents differentition with respect to time. Definition 2 We sy tht function u L 2 (,T;H 1 (D) (13) is wek solution of the prbolic initil/boundry-vlue problem (92) provided tht for ech v H 1 (D) nd.e. time t T, nd u,v +B(u,v) = f,v, (14) u() = g. (15) (There is nother technicl point regrding the domin of definition of u but we omit it here see Adms, p. 352.) 13
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 information1 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 informationMA Handout 2: Notation and Background Concepts from Analysis
MA350059 Hndout 2: Nottion nd Bckground Concepts from Anlysis This hndout summrises some nottion we will use nd lso gives recp of some concepts from other units (MA20023: PDEs nd CM, MA20218: Anlysis 2A,
More informationThe 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 informationMATH34032: 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 informationThe Wave Equation I. MA 436 Kurt Bryan
1 Introduction The Wve Eqution I MA 436 Kurt Bryn Consider string stretching long the x xis, of indeterminte (or even infinite!) length. We wnt to derive n eqution which models the motion of the string
More informationPhysics 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 information1.3 The Lemma of DuBois-Reymond
28 CHAPTER 1. INDIRECT METHODS 1.3 The Lemm of DuBois-Reymond We needed extr regulrity to integrte by prts nd obtin the Euler- Lgrnge eqution. The following result shows tht, t lest sometimes, the extr
More informationAMATH 731: Applied Functional Analysis Fall Some basics of integral equations
AMATH 731: Applied Functionl Anlysis Fll 2009 1 Introduction Some bsics of integrl equtions An integrl eqution is n eqution in which the unknown function u(t) ppers under n integrl sign, e.g., K(t, s)u(s)
More informationA 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 information1 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 information4. Calculus of Variations
4. Clculus of Vritions Introduction - Typicl Problems The clculus of vritions generlises the theory of mxim nd minim. Exmple (): Shortest distnce between two points. On given surfce (e.g. plne), nd the
More informationChapter 3. Vector Spaces
3.4 Liner Trnsformtions 1 Chpter 3. Vector Spces 3.4 Liner Trnsformtions Note. We hve lredy studied liner trnsformtions from R n into R m. Now we look t liner trnsformtions from one generl vector spce
More informationHeat flux and total heat
Het flux nd totl het John McCun Mrch 14, 2017 1 Introduction Yesterdy (if I remember correctly) Ms. Prsd sked me question bout the condition of insulted boundry for the 1D het eqution, nd (bsed on glnce
More informationBest 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 informationReview 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 informationReview 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 informationAdvanced 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 informationMath 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 informationAMATH 731: Applied Functional Analysis Fall Additional notes on Fréchet derivatives
AMATH 731: Applied Functionl Anlysis Fll 214 Additionl notes on Fréchet derivtives (To ccompny Section 3.1 of the AMATH 731 Course Notes) Let X,Y be normed liner spces. The Fréchet derivtive of n opertor
More informationConservation 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 informationPDE Notes. Paul Carnig. January ODE s vs PDE s 1
PDE Notes Pul Crnig Jnury 2014 Contents 1 ODE s vs PDE s 1 2 Section 1.2 Het diffusion Eqution 1 2.1 Fourier s w of Het Conduction............................. 2 2.2 Energy Conservtion.....................................
More informationProperties 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 informationVariational 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 informationAdvanced 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 informationf(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 informationODE: 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 information1.9 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 informationSTURM-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 informationMATH 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 informationImproper 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 informationMA 124 January 18, Derivatives are. Integrals are.
MA 124 Jnury 18, 2018 Prof PB s one-minute introduction to clculus Derivtives re. Integrls re. In Clculus 1, we lern limits, derivtives, some pplictions of derivtives, indefinite integrls, definite integrls,
More informationLecture 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 informationCalculus of Variations: The Direct Approach
Clculus of Vritions: The Direct Approch Lecture by Andrejs Treibergs, Notes by Bryn Wilson June 7, 2010 The originl lecture slides re vilble online t: http://www.mth.uth.edu/~treiberg/directmethodslides.pdf
More informationMath 8 Winter 2015 Applications of Integration
Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl
More informationRiemann 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 informationAbstract 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 informationRiemann 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 informationGeneralizations of the Basic Functional
3 Generliztions of the Bsic Functionl 3 1 Chpter 3: GENERALIZATIONS OF THE BASIC FUNCTIONAL TABLE OF CONTENTS Pge 3.1 Functionls with Higher Order Derivtives.......... 3 3 3.2 Severl Dependent Vribles...............
More informationACM 105: Applied Real and Functional Analysis. Solutions to Homework # 2.
ACM 05: Applied Rel nd Functionl Anlysis. Solutions to Homework # 2. Andy Greenberg, Alexei Novikov Problem. Riemnn-Lebesgue Theorem. Theorem (G.F.B. Riemnn, H.L. Lebesgue). If f is n integrble function
More informationW. 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 informationUNIFORM 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 informationConsequently, the temperature must be the same at each point in the cross section at x. Let:
HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the
More informationNew Expansion and Infinite Series
Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University
More information1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation
1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview
More informationChapter 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 informationTheoretical 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 informationBest 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 information1 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 informationWe partition C into n small arcs by forming a partition of [a, b] by picking s i as follows: a = s 0 < s 1 < < s n = b.
Mth 255 - Vector lculus II Notes 4.2 Pth nd Line Integrls We begin with discussion of pth integrls (the book clls them sclr line integrls). We will do this for function of two vribles, but these ides cn
More informationDefinite 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 informationNotes 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 informationVariational Formulation of Boundary Value Problems
Wht is α =3 Dα u? Chpter 4 Vritionl Formultion of Boundry Vlue Problems 4.1 Elements of Function Spces 4.1.1 Spce of Continuous Functions N is set of non-negtive integers. 1 An n-tuple α =α 1,, α n N n
More informationFourier 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 informationNumerical Methods for Partial Differential Equations
Numericl Methods for Prtil Differentil Equtions Eric de Sturler Deprtment of Computer Science University of Illinois t Urn-Chmpign 11/19/003 1 00 Eric de Sturler Why More Generl Spces We now provide more
More informationMath 5440 Problem Set 3 Solutions
Mth 544 Mth 544 Problem Set 3 Solutions Aron Fogelson Fll, 25 1: Logn, 1.5 # 2) Repet the derivtion for the eqution of motion of vibrting string when, in ddition, the verticl motion is retrded by dmping
More informationDefinite 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 informationThe 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 informationQuadratic Forms. Quadratic Forms
Qudrtic Forms Recll the Simon & Blume excerpt from n erlier lecture which sid tht the min tsk of clculus is to pproximte nonliner functions with liner functions. It s ctully more ccurte to sy tht we pproximte
More informationProperties of the Riemann Integral
Properties of the Riemnn Integrl Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University Februry 15, 2018 Outline 1 Some Infimum nd Supremum Properties 2
More informationMAC-solutions of the nonexistent solutions of mathematical physics
Proceedings of the 4th WSEAS Interntionl Conference on Finite Differences - Finite Elements - Finite Volumes - Boundry Elements MAC-solutions of the nonexistent solutions of mthemticl physics IGO NEYGEBAUE
More informationMapping the delta function and other Radon measures
Mpping the delt function nd other Rdon mesures Notes for Mth583A, Fll 2008 November 25, 2008 Rdon mesures Consider continuous function f on the rel line with sclr vlues. It is sid to hve bounded support
More informationMath 5440 Problem Set 3 Solutions
Mth 544 Mth 544 Problem Set 3 Solutions Aron Fogelson Fll, 213 1: (Logn, 1.5 # 2) Repet the derivtion for the eqution of motion of vibrting string when, in ddition, the verticl motion is retrded by dmping
More informationHomework 4. (1) If f R[a, b], show that f 3 R[a, b]. If f + (x) = max{f(x), 0}, is f + R[a, b]? Justify your answer.
Homework 4 (1) If f R[, b], show tht f 3 R[, b]. If f + (x) = mx{f(x), 0}, is f + R[, b]? Justify your nswer. (2) Let f be continuous function on [, b] tht is strictly positive except finitely mny points
More informationIntroduction to Finite Element Method
Introduction to Finite Element Method Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pn.pl/ tzielins/ Tble of Contents 1 Introduction 1 1.1 Motivtion nd generl concepts.............
More informationEuler, 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 informationMath 61CM - Solutions to homework 9
Mth 61CM - Solutions to homework 9 Cédric De Groote November 30 th, 2018 Problem 1: Recll tht the left limit of function f t point c is defined s follows: lim f(x) = l x c if for ny > 0 there exists δ
More informationLecture 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 informationThe Riemann Integral
Deprtment of Mthemtics King Sud University 2017-2018 Tble of contents 1 Anti-derivtive Function nd Indefinite Integrls 2 3 4 5 Indefinite Integrls & Anti-derivtive Function Definition Let f : I R be function
More informationTHE 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 information8 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 information2 Fundamentals of Functional Analysis
Fchgruppe Angewndte Anlysis und Numerik Dr. Mrtin Gutting 22. October 2015 2 Fundmentls of Functionl Anlysis This short introduction to the bsics of functionl nlysis shll give n overview of the results
More informationRecitation 3: More Applications of the Derivative
Mth 1c TA: Pdric Brtlett Recittion 3: More Applictions of the Derivtive Week 3 Cltech 2012 1 Rndom Question Question 1 A grph consists of the following: A set V of vertices. A set E of edges where ech
More informationNOTES ON HILBERT SPACE
NOTES ON HILBERT SPACE 1 DEFINITION: by Prof C-I Tn Deprtment of Physics Brown University A Hilbert spce is n inner product spce which, s metric spce, is complete We will not present n exhustive mthemticl
More informationn 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 informationMath 360: A primitive integral and elementary functions
Mth 360: A primitive integrl nd elementry functions D. DeTurck University of Pennsylvni October 16, 2017 D. DeTurck Mth 360 001 2017C: Integrl/functions 1 / 32 Setup for the integrl prtitions Definition:
More informationReview on Integration (Secs ) Review: Sec Origins of Calculus. Riemann Sums. New functions from old ones.
Mth 20B Integrl Clculus Lecture Review on Integrtion (Secs. 5. - 5.3) Remrks on the course. Slide Review: Sec. 5.-5.3 Origins of Clculus. Riemnn Sums. New functions from old ones. A mthemticl description
More informationInternational Jour. of Diff. Eq. and Appl., 3, N1, (2001),
Interntionl Jour. of Diff. Eq. nd Appl., 3, N1, (2001), 31-37. 1 New proof of Weyl s theorem A.G. Rmm Mthemtics Deprtment, Knss Stte University, Mnhttn, KS 66506-2602, USA rmm@mth.ksu.edu http://www.mth.ksu.edu/
More informationContinuous 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 informationPartial Differential Equations
Prtil Differentil Equtions Notes by Robert Piché, Tmpere University of Technology reen s Functions. reen s Function for One-Dimensionl Eqution The reen s function provides complete solution to boundry
More informationNote 16. Stokes theorem Differential Geometry, 2005
Note 16. Stokes theorem ifferentil Geometry, 2005 Stokes theorem is the centrl result in the theory of integrtion on mnifolds. It gives the reltion between exterior differentition (see Note 14) nd integrtion
More informationIntroduction 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 informationLecture 13 - Linking E, ϕ, and ρ
Lecture 13 - Linking E, ϕ, nd ρ A Puzzle... Inner-Surfce Chrge Density A positive point chrge q is locted off-center inside neutrl conducting sphericl shell. We know from Guss s lw tht the totl chrge on
More informationCMDA 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 information1 i n x i x i 1. Note that kqk kp k. In addition, if P and Q are partition of [a, b], P Q is finer than both P and Q.
Chpter 6 Integrtion In this chpter we define the integrl. Intuitively, it should be the re under curve. Not surprisingly, fter mny exmples, counter exmples, exceptions, generliztions, the concept of the
More informationSummary: 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 informationOverview of Calculus I
Overview of Clculus I Prof. Jim Swift Northern Arizon University There re three key concepts in clculus: The limit, the derivtive, nd the integrl. You need to understnd the definitions of these three things,
More informationNUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.
NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with
More informationMath 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 informationMain 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 informationThe area under the graph of f and above the x-axis between a and b is denoted by. f(x) dx. π O
1 Section 5. The Definite Integrl Suppose tht function f is continuous nd positive over n intervl [, ]. y = f(x) x The re under the grph of f nd ove the x-xis etween nd is denoted y f(x) dx nd clled the
More informationProblem Set 4: Solutions Math 201A: Fall 2016
Problem Set 4: s Mth 20A: Fll 206 Problem. Let f : X Y be one-to-one, onto mp between metric spces X, Y. () If f is continuous nd X is compct, prove tht f is homeomorphism. Does this result remin true
More informationIntegrals - Motivation
Integrls - Motivtion When we looked t function s rte of chnge If f(x) is liner, the nswer is esy slope If f(x) is non-liner, we hd to work hrd limits derivtive A relted question is the re under f(x) (but
More information1. On some properties of definite integrals. We prove
This short collection of notes is intended to complement the textbook Anlisi Mtemtic 2 by Crl Mdern, published by Città Studi Editore, [M]. We refer to [M] for nottion nd the logicl stremline of the rguments.
More informationCzechoslovak Mathematical Journal, 55 (130) (2005), , Abbotsford. 1. Introduction
Czechoslovk Mthemticl Journl, 55 (130) (2005), 933 940 ESTIMATES OF THE REMAINDER IN TAYLOR S THEOREM USING THE HENSTOCK-KURZWEIL INTEGRAL, Abbotsford (Received Jnury 22, 2003) Abstrct. When rel-vlued
More informationIntegration 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 informationThe Algebra (al-jabr) of Matrices
Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense
More informationFor a continuous function f : [a; b]! R we wish to define the Riemann integral
Supplementry Notes for MM509 Topology II 2. The Riemnn Integrl Andrew Swnn For continuous function f : [; b]! R we wish to define the Riemnn integrl R b f (x) dx nd estblish some of its properties. This
More informationThe First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).
The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples
More informationP 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)
1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this
More information