Physics. A Boundary Value Problem for the Two Dimensional Broadwell Model* ^+f l f 2 =f 3 f\ f 1 (0,y) = φ 1 (y), (1.1) Communications in Mathematical
|
|
- Joleen Walton
- 6 years ago
- Views:
Transcription
1 Cmmun. Math. Phys. 114, (1988) Cmmunicatins in Mathematical Physics Springer-Verlagl988 A Bundary Value Prblem fr the Tw Dimensinal Bradwell Mdel* Carl Cercignani 1, Reinhard Illner 2 and Marvin Shinbrt Plitecnic di Milan, Milan, Italy University f Victria, Victria, Canada V8W 2Y2 Abstract. It is shwn that a certain bundary value prblem fr the steady twdimensinal Bradwell mdel n a rectangle has a slutin. The bundary cnditins specify the inging particle densities n each side f the rectangle. 1. Intrductin Very little is knwn abut bundary value prblems fr the Bltzmann equatin, even fr steady flws. The linearized equatin has been much studied [1, 2, 4-9, 13], and there are sme results fr nnlinear flws near t equilibrium, but that is all we knw f, in general. Recently, in an attempt t make further prgress n the prblem, we began t study bundary value prblems fr discrete velcity mdels f the Bltzmann equatin. In [11], we shwed that, in ne dimensin, the bundary value prblem assciated with discrete velcity prblems in a slab has slutins quite generally, althugh we were unable t prve any kind f uniqueness fr the slutins we fund. In [12], we extended the results f [11] t discrete velcity flws in a half-line. We btained the result, expected because f the physical analgy, that the slutin at infinity is a Maxwellian. Naturally, ne-dimensinal steady prblems are prblems invlving rdinary differential equatins. In tw dimensins, fr discrete velcity flws in a dmain, virtually nthing is knwn. In this paper, we present a nn-trivial example f the slutin f a bundary value prblem assciated with a natural 4-velcity mdel in a rectangle. This is the first example we knw f such a result. The mdel is easily described. We slve the fllwing prblem in the rectangle R = [0,ά]x[0,b]: ^+f l f 2 =f 3 f\ f 1 (0,y) = φ 1 (y), (1.1) * Research supprted by the Natural Science and Engineering Research Cuncil Canada under Grants A7847 and A8560
2 C. Cercignani, R. Illner, and M. Shinbrt -^+fψ=pp, P(a,y) = φ 2 (y), (1.2) δf3 +PP=PP, dy P(x,0) = φ 3 (x), (1.3) dp +PP=PP, p{x,b) = φ4 {x). (1.4) The underlying time-dependent mdel assciated with (1.1-4) is well knwn as the (tw-dimensinal) Bradwell mdel [13,15]. This is ne f the simplest mdels fr which the glbal existence prblem fr the Cauchy prblem is unslved fr large data 1 (see [16]). In spite f this, the slutin f the bundary value prblem (1.1-4) that we present here is, like the results f [11] and [12], cmpletely glbal, in n way depending n the lengths f the intervals (0, a) and (0, b), r the size f the data φ 1, φ 2, φ 3, r φ 4. A piece f ntatin befre we start. We dente the cntinuus functins n a set S by C (S); the cntinuus, nn-negative functins n S are dented by C + (S). The nn-negative functins with ne cntinuus derivative n S are dented by Cl^S). We dente the maximum nrm in C (S) by. 2. A Bundary Value Prblem fr Sme Ordinary Differential Equatins We begin this sectin by studying the fllwing bundary value prblem invlving nly rdinary differential peratrs: δ L- + f^p = h i, / 1 (0) = φ 1, (2.1) x where the functins h, as well as the bundary data φ are given. We prve Lemma 2.1. Let φ\φ 2 eέli, (h\h 2 )e{c + [0,a]} 2 :=C + l0,a']x C + l0,a2. Then, the prblem (2.1)-(2.2) has a unique slutin f=(f\f 2 )e{c ί +[O,a~]} 2. Prf. T slve (2.1) (2.2), we use the methd f Kaniel and Shinbrt [17], which is well suited t prblems f this type. We begin by defining fur sequences, {/*}, {u ι n}, {I 2 }, and {u 2 }, as fllws. Take /J = O = /Q, and let u$ and ul be the slutins f 1 Althugh the crrespnding ne-dimensinal Cauchy prblem has been slved [3]
3 Bundary Value Prblem fr Tw Dimensinal Bradwell Mdel 689 Next, with Z*_ 1? M*_ l5 Z 2 _ 1? and u\_ γ given, we define Z*, u\, Z 2, and w 2 as the slutins f the initial value prblems dx iλ _L/ 2 I, 1 h 1 (2.3) and U _ ~ U L /2 L2 (2.4) A straightfrward inductin shws that Thus, the sequences {Z^} and {w^} are mntne and bunded, as are the sequences {11} and {ul}. All fur are therefre cnvergent fr each x e [0, a]. Let {ξ} cnverge t Z ι, {wjj} t u\ i= 1,2. Integrating (2.3) and (2.4), we can send n t infinity in the result t find that u\x)+]l\ξ)u\ξ)dξ = φ ι +] u 2 (x) + ί I\ξ)u 2 2 (ξ)dξ = Ψ +] h 2 (ξ)dξ, X I\x)+}u\ξ)l 2 {ξ)dξ = φ 2 +}h 2 (ξ)dξ. X The functins Z 1, Z 2, w 1, w 2 are bunded, and these frmulas shw that they are abslutely cntinuus in x, and they satisfy X X dx' d (2.5) dx' die l2 -uψ=-h 2, (2.6)
4 690 C. Cercignani, R. Illner, and M. Shinbrt Thus, subtracting (2.5b) frm (2.5a), and (2.6b) frm (2.6a), we find { 1 and 5 2 /2-1 I (U / (2.Ϊ Thus, Jχ (U ~ '~Ix Sϊnce(u ί -l ι )(0) = 0, then, {u 1 -l 1 )(x) = {u 2 -l 2 ){x)-(u 2 ~l 2 ){0). Setting x = a and using the fact that (u 2 I 2 ) (a) = 0, we find (u ί -l 1 )(a)=-(u 2 -l 2 )(0), which is impssible unless bth sides are zer. Thus, we have with bth sides being zer when x = 0 OΪ x = a. Equatin (2.7) nw gives Since u ι l ι =0 when x = 0, this means that u 1 = l 1. Similarly, we find u 2 = l 2. Writing f 1 fr the cmmn value f I 1 and w 1, and f 2 fr I 2 and u 2, we find frm (2.5) that (/\/ 2 ) is a slutin f (2.1) and (2.2). Since (f\f 2 ) satisfy f\x)+ ]f 2 (ξ)f 1 (ξ)dξ = φ 1 +] p{x)+ ]f 2 (ξ)f\ξ)dξ = ψ 2 + ]h 2 (ξ)dξ, they are abslutely cntinuus, and these equatins can be differentiated t prduce (2.1) and (2.2). This shws that Eq. (2.1) (2.2), integrated with respect t x, have nn-negative slutins / 1,/ 2 GL OO (0,a). Hwever, integratin f (2.1) (2.2) gives a representatin f/ 1 and f 2 as integrals; thus, f ι and f 2 are abslutely cntinuus. This fact used in (2.1) (2.2) again shws that (/ 1,/ 2 )e{c 1 +[0, α]} 2. This cmpletes the prf f existence. As fr uniqueness, ntice that any slutin f (2.1)-(2.2) in {C + [0, a]} 2 satisfies 0 = Z(x)^/ ί (x)^«(x), i=l,2. An inductin then shws that f^x)^f\x)^n{x\ 1 = l,2, ft = 0,1, Since the sequences {l ι } and n {uι n } cnverge t the slutin cnstructed abve, it fllws that any slutin is equal t the cnstructed slutin.
5 Bundary Value Prblem fr Tw Dimensinal Bradwell Mdel 691 We nw shw that the slutin f (2.1-2) delivered by Lemma 2.1 depends cntinuusly n the data. Fr this, let (/\ f 2 ) satisfy (2.1-2), and let (F\ F 2 ) be the slutin f the same prblem with different data, namely We prve dx _df^_ dx < 2 = H\ F 1 {0) = Φ\ (2.9) 7 2 = H 2, F 2 (a) = Φ 2. (2.10) Lemma 2.2. Let (f\f 2 ) dente the slutin f (2.1)-(2.2), (F\F 2 ) the slutin f (2.9)-(2.10). Take ε>0. Then, there exists a δ>0 such that if ll^-^ll + ll^-^ll+^-^l + IΦ 2 -^ 2!^. (2.11) ε can be chsen t depend nly n δ, a, and the quantity Prf. Let We nte first that the functins f 1, / 2, F 1, F 2 are all unifrmly bunded, belw by 0 and abve by the crrespnding functin u ι (see the prf f Lemma 2.1), which 0 depends nly n c and a. Define g 1 =F ι f 1, g 2 = F 2 f 2. g 1 and g 2 satisfy *~ +F 2 g 1 +f ί g 2 = η 1 9 g\0) = ψ1 9 (2.12) dx -^+F 2 g 1 +/ 1 g 2 = /?2, g^o)^^2, (2.13) dx where n ι =ll ι -h γ, η 2 = H 2 -h 2, ψ ι = Φ 1 -φ\ ψ 2 = Φ 2 -φ 2. Subtracting (2.12) frm (2.13) and integrating the result shws that there is a cnstant c 1 such that ], (2.14) 0 say. Slving (2.14) fr g 2 and substituting int (2.12), we see that ( ) is equivalent t the prblem :=η. (2.15) where g'(0) = φ 1 and c γ must be chsen such that g 1 (α) = c 1 ψ 2 + η(a). Frm (2.15), we btain
6 692 C. Cercignani, R. Illner, and M. Shinbrt g 1 (a) = ψ 1^ +fwx)-c 1 / 1 (x)]«- dx. [ The cnditin g 1 (ά) = c 1 ιp 2 a l + j 0 + η(a) results in the equatin f// i_ F 2) Since f ί (x)^0, J we read ff immediately that \a)\ + \\η(x)\e* 0 if (2.11) is satisfied. Here, c 2 is a cnstant depending nly n c and a. Frm (2.14), it fllws that where c 3 is anther cnstant depending nly n c and a. Since g 1 satisfies the lemma fllws. Π Definitin 23. Fr ρ > 0, let B dente the ball f radius ρ in C {R), B the set f all + nn-negative elements f B : Let C 01 (R) be the set f all functins cntinuus in x and differentiable in y, nrmed by Λ Λ I denting the nrm in C (R), as befre. Similarly, we define C 10 {R) as the set f functins differentiable in x and cntinuus in y, with the nrm We dente the balls f radius ρ in C ι {R) and C 10 ι 10 (K) by B ρ and B ρ, respectively. + JBJ 1 ι and +JB* dente the nn-negative functins in B ρ and B]. In Eqs. (2.1) and (2.2), we nw allw the functins h as well as the bundary data φ t depend n y, and we prve Lemma 2.4 Let (φ\ φ 2 )e {C + [0,6]} 2, (/z 1, /z 2 )e [C + (Λ)] 2. Γ/zβπ, ^s. (2.1-2) have a unique slutin (/ 1,/ 2 )e[c c [(#)] 2. With the bundary data {φ\φ 2 ) fixed, let S ρ dente the set f all slutins f (2.1-2) with (h\h 2 )e +B ρ K Then, the clsure f S ρ is a cmpact subset f [C+(R)] 2.
7 Bundary Value Prblem fr Tw Dimensinal Bradwell Mdel 693 Prf. Applying Lemma 2.1 with y e [0, b'] fixed, we find that (f 1, f 2 ) exists fr each y, and that {f\,y\ f 2 {-,y))e{c\[0,d\} 2. The cntinuity f the pair C/ 1,/ 2 ) fllws frm Lemma 2.2 and the assumed cntinuity f the data. Fr the cmpactness, we shw that the set S ρ is equicntinuus. By Lemma 2.1, f 1 and f 2 are bunded. Equatins (2.1) and (2.2) give, then, that the derivatives df 1 /dx and df 2 /dx are bunded. Lemma 2.2 shws that the mduli f cntinuity f f 1 and f 2 in the y-directin depend n the mduli f cntinuity f φ ι, φ 2, h 1, and h 2 in the y-directin. φ 1 and φ 2 are fixed, by hypthesis, while the mduli f cntinuity f h 1 and h 2 are cntrlled by their membership in B 1. Thus, the functins f 1 and f 2 vary ver equicntinuus subsets f C + {R) as h 1 and h 2 vary ver +Bg 1. This cmpletes the prf f the lemma. One has merely t make the lexicgraphic change f replacing x by y and the indices 1 and 2 by 3 and 4 t prve Lemma 2.5. Let (φ\ φ 4 )e {C [0,a]} 2, (/z 3,/2 4 )e[c (#)] 2. Then, the equatins ^+/ 3 / 4 = Λ 3, f\0) = φ\ (2.16) dy have a unique slutin (/ 3, / 4 ) e [C+(i^)] 2. With the bundary data (φ 3, φ 4 ) fixed, let S' ρ dente the set f all slutins f ( ) vwf/z (/ι 3, /ι 4 ) e + βρ 1. T/ie^z, ί/ze c/θ5t/re / 2 S ^ i s a cmpact subset f [ C 3. The Operatr T and Sme f its Prperties We nw prceed t cnsider (1.1) (1.4). Fr this, we assume nce and fr all that (φ 1, φ 2, φ 3, φ 4 ) is fixed, satisfying the hyptheses f Lemmas 2.4 and 2.5. We establish a mapping frm the cne [C+(JR)] 4 int itself, as fllws. Let (g\g 2,g\g 4 )elc + (R)Y. Slve the equatins fj+/ 1 / 2 =*V, f 1 (^y)=φ 1 (yh (3 i) - ^-+/ 2 / 2 =g 3 g 4, f 2 {a,y) = φ 2 (y), (3.2) f^ +fψ = gv, / 3 (*, 0) = φ\x), (3.3) - < ^ + / 3 / 4 = g 1 g 2, /V^) = <P 4 W- (3-4) dy We prve Lemma 3.1. Lei (g 1,g 2,g 3,g 4 )e[c < i(i?)] 4. TTien, <js. (3.1)-(3.4) Ziαi e a slutin
8 694 C. Cercignani, R. Illner, and M. Shinbrt Prf. Equatins (3.1) (3.2) are subject t Lemma 2.4, Eqs. (3.3) (3.4) t Lemma 2.5. The result fllws immediately. Definitin 3.2. As the prf f Lemma 3.1 shws, the pair f Eqs. (3.1) (3.2) can be slved independently f the pair (3.3) (3.4). Thus, slving (3.1) (3.2) defines a mapping f the pair (g 3,g 4 ) int the slutin pair C/* 1,/ 2 ). We write (/\/ 2 ) = T x (g 3, g 4 ); the subscript x is used t indicate that T x is smthing with respect t the variable x (since the image f [C+(.R)] 2 under T x is cntained in [C+ CR)] 2 ) In a similar way, and fr similar reasns, we write (/ 3,/ 4 ) = XJ,(g\ g 2 ) if (/ 3,/ 4 ) is the slutin f (3.3)-(3.4). Finally, we write T{g\ g 2, g 3, g 4 ) = (/\ / 2,/ 3,/ 4 ) fr the full slutin f (3.1) (3.4). Any slutin f (1.1) (1.4) is a fixed pint f T. We begin ur study f the peratr T with Lemma 3.3. The peratr T 2 is cmpact. Prf We have, in the bvius ntatin, Accrdingly, T 2 g = (T x T y {g\g 2 \ T y T x (g\g 4 )). (3.5) We shw that T x T y is cmpact n [C (#)] 2. T y maps [C%(R)~] 2 int [C 1 + (R)~] 2. Accrdingly, if (g\g 2 ) varies ver a bunded subset f [C + (,R)] 2, all the images T y (g\ g 2 ) He in a ball [ + B 1 '] 2 fr sme ρ > 0. Lemma 2.4 therefre shws that 7;7; 9 is cmpact. A similar argument, using Lemma 2.5, shws that T y T x is cmpact als, and the result fllws frm this. Next, we prve Lemma 3.3. The peratr T 2 has a fixed pint in [C + (JR)] 4. Prf. Accrding t the therem f Schaefer 2 [18,19], we have t shw that any slutin ϊf=λt 2 f with 0 < λ < 1 is bunded. Suppse /= λt 2 f Then, (3.5) gives and (f\f 2 ) = λt x T y (f\f 2 ) (3.6) We shw first that f 1 is bunded. Let Then, accrding t (3.6), (g 3,g 4 )= 2 Schaefer's therem refers t a mapping f an entire Banach space int itself. Hwever, the prf depends n a retractin f the peratr under cnsideratin. As a cnsequence, it is easy t extend the prf t apply t a mapping n a cne, like [C + (R)] 2
9 Bundary Value Prblem fr Tw Dimensinal Bradwell Mdel 695 The definitins f T x and T y give =λg 3 g 4 f 1 / 2, f ι (0,y) = λφ 1 (y), (3.7) x λ ~ = \f l f 2 - λg 3 g\f 2 (a,y) = λ Ψ 2 (y), (3.8) Therefre, δg 3,, w 4-=fψ-gY, g 3 (x,0) = φ 3 (x), (3.9) ^-= g 3g+_/l/2 g4( X> i,)=φ4( χ)- (3. 10 ) gθ, (3.11) since 0<l<l, while the functins/ and g are all nn-negative. Integrating (3.11) ver R and using the divergence therem, we find I (Γ-P)dy- I (f 1 ~f 2 )dy+ f ( g 3 -g 4 )^- ί (g 3 - x a x=0 y b y = 0 Using the bundary cnditins n f 1, f 2, g 3, and g 4, we find ί f ι dy+ j / 2 dy+ ί g"dx+ j g 4^x x = α JC = O y = b y = 0 ^ j λφ ί (y)dy+ J 2φ 2 (3/)Jj;+ J φ 3 rfx+ J ώc x=0 x=α y=0 y=b (3.12) again using the fact that 0 < λ < 1. Here, s dentes arclength n dr, and φ: 5^^^+ is φ 1 n the left side f R, φ 2 n the right, φ 3 n the bttm and φ 4 n the tp. Equatin (3.12) gives L 1 bunds n the functins f 1, f 2, g 3, g 4 n the part f the bundary f R ppsite t that f the data. The inequality (3.12) fllws frm mass cnservatin. We nw return t (3.7) (3.10) and use mmentum cnservatin in the frm (3.13) Equatin (3.13) shws that f 1 +f 2 is a functin f y alne and g 3 + g 4 is a functin f x alne. Nw, chse xe[0,α] arbitrarily and chse an interval /C[0, b]. Integrating (3.13a) ver [0,x] x /, we find =$l<p l (y)+f 2 (0,y) y I (3.14) ^2 j φds, (3.15) er
10 696 C. Cercignani, R. Illner, and M. Shinbrt by (3.12). Let Γ be any psitive cnstant. Since the left side f (3.14) is independent f x, it fllws that we can partitin the interval [0,fr] by w + 1 pints 0 = y <y ί <,.,y n = b, als independent f x, in such a way that and n ^ 2Γ J φds + 1. ~ψ, (3.16) The same argument shws that the interval [0, a] can be partitined by m + 1 pints 0 = x <x ί <... <x m = a such that fr any where m^2γ J φds+1. We nw use these estimates t btain pintwise bunds n f ι. Frm (3.7), we have Next, we use (3.9) t estimate g 3, and insert the result in this last inequality. We find f\x, y) ύ V(3>) + λ J g 4 (σ, y)φ\σ)dσ + λ] ]g\σ,y)(pf 2 )(σ,τ)dτdσ. (3.18) Let 0 0 K(x) = We shw that K(x) is bunded by a cnstant depending nly n the data. In the rest f the prf, we reserve the letter c t dente such a cnstant; c may have different values in different frmulas. As λ<l, we have λφ 1 (y), λφ 3^c. By (3.17), then, Als, (3.14) shws that λ]g 4 (σ,y)φ 3 (σ)dσ^c. ]f 2 (σ,τ)dτ^c fr all σ. We apply the definitin f K and these estimates t the right side f (3.18) t find (3.19) Nw, take Γ equal t this last cnstant c, and chse the partitin in (3.17) crrespnding t this value f Γ. We see then that if O^xgx,,
11 Bundary Value Prblem fr Tw Dimensinal Bradwell Mdel 697 and frm (3.19), we cnclude that K that is, This is a bund fr f 1 n the rectangle [0, xjx [0, b]. Repeating the argument in the rectangle [^i,x 2 ] x [0, b], we find ( ) ^, fr 1 ^ ^ 2, and, inductively, we prve K(x)^2 m Γ fr O^x^α. Since m depends nly n Γ and Γ depends nly n the data, the estimate n f 1 is cmplete. / 2, g 3, and g 4 are estimated in a similar way. Schaefer's therem thus implies the result. 4. The Main Result A slutin f the prblem (1.1) (1.4) is a fixed pint f T. We shw in this sectin that such a fixed pint exists. Therem 4.1. Let (φ\φ 2 )e{c + [0,b]} 2, (φ 3,φ 4 )e{c + [0,α]} 2. Then, the prblem (1.1)-(1.4) has a slutin f=(f\λ/ 3,/ 4 )e[c + ( )] 4. Prf. Let h = (h 1,h 2,h 3,h 4 ') be the fixed pint f T 2 guaranteed by Lemma 3.3. Then, we have (h\h 2 )=T x T y (h\h 2 ). Set Then, (g\g*)=t y (h\h 2 ). (h\h 2 )=T x (g\g 4 ). Since T(f\f 2 J 3 J 4 ) = (T x (f 3 J 4 \ T y {f\f 2 )\ as we saw in Lemma 3.1, the functin /=(h ι, h 2, g 3, g 4 ) is a fixed pint f T and a slutin f the prblem. References 1. Arthur, M.D., Cercignani, C: Nnexistence f a steady rarefied supersnic flw in a halfspace. Z. Angew. Math. Phys. 31, 634 (1980) 2. Bards, C, Caίlisch, R.E., Niclaenk, B.: The Milne and Kramers prblems fr the Bltzmann equatin f a hard sphere gas. Cmmun. Pure Appl. Math. 39, 322 (1986) 3. Beale, J.T.: Large-time behavir f the Bradwell mdel f a discrete velcity gas. Cmmun. Math. Phys. 102, (1985)
12 698 C. Cercignani, R. Illner, and M. Shinbrt 4. Beals, R.: An abstract treatment f sme frward-backward prblems f transprt and scattering. J. Funct. Anal. 34, 1 (1979) 5. Cercignani, C: Mathematical methds in kinetic thery. New Yrk: Plenum Press Cercignani, C: Thery and applicatin f the Bltzmann equatin. New Yrk: Elsevier Cercignani, G: Elementary slutins f the linearized gas dynamics Bltzmann equatin and their applicatin t the slip flw prblem. Ann. Phys. (NY) 20, 219 (1962) 8. Cercignani, C: Existence and uniqueness in the large fr bundary value prblems in kinetic thery. J. Math. Phys. 8, (1967) 9. Cercignani, C: On the general slutin f the steady linearized Bltzmann equatin. In: Rarefied gas dynamics. Becker, M., Fiebig, M. (eds.). Prz-Wahn: DFVLR Press Cercignani, C: Half-space prblems in the kinetic thery f gases. In: Trends in applicatins f pure mathematics t mechanics. Krner, E., Kirchgasser, K. (eds.), Lecture Ntes in Physics, Vl. 249, p. 35. Berlin, Heidelberg, New Yrk: Springer Cercignani, C, Illner, R., Shinbrt, M.: A bundary value prblem fr discrete velcity mdels. Duke Math. J. (t appear) 12. Cercignani, C, Illner, R., Pulvirenti, M., Shinbrt, M.: On nnlinear statinary half-space prblems in discrete kinetic thery (t appear) 13. Gatignl, R.: Therie Cinetique des gaz a repartitin discrete des vitesses. Lecture Ntes in Physics, Vl. 36. Berlin, Heidelberg, New Yrk: Springer Greenberg, W., van der Mee, C: An abstract apprach t evapratin mdels in rarefied gas dynamics. Z. Angew. Math. Phys. 35, 166 (1984) 15. Illner, R.: Glbal existence results fr discrete velcity mdels f the Bltzmann equatin in several dimensins. J. Mec. Ther. Appl. 1, (1982) 16. Illner, R.: Examples f nn-bunded slutins in discrete kinetic thery. J. Mec. Ther. Appl. 5, (1986) 17. Kaniel, S., Shinbrt, M.: The Bltzmann equatin. I. Uniqueness and lcal existence. Cmmun. Math. Phys. 58, (1978) 18. Schaefer, H.: Uber die Methde der a priri Schranken. Math. Ann. 129, (1955) 19. Smart, D.R.: Fixed pint therems. New Yrk: Cambridge University Press 1974 Cmmunicated by J. L. Lebwitz Received July 14, 1987
Lyapunov Stability Stability of Equilibrium Points
Lyapunv Stability Stability f Equilibrium Pints 1. Stability f Equilibrium Pints - Definitins In this sectin we cnsider n-th rder nnlinear time varying cntinuus time (C) systems f the frm x = f ( t, x),
More informationHomology groups of disks with holes
Hmlgy grups f disks with hles THEOREM. Let p 1,, p k } be a sequence f distinct pints in the interir unit disk D n where n 2, and suppse that fr all j the sets E j Int D n are clsed, pairwise disjint subdisks.
More informationDifferentiation Applications 1: Related Rates
Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm
More informationAdmissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs
Admissibility Cnditins and Asympttic Behavir f Strngly Regular Graphs VASCO MOÇO MANO Department f Mathematics University f Prt Oprt PORTUGAL vascmcman@gmailcm LUÍS ANTÓNIO DE ALMEIDA VIEIRA Department
More informationf t(y)dy f h(x)g(xy) dx fk 4 a. «..
CERTAIN OPERATORS AND FOURIER TRANSFORMS ON L2 RICHARD R. GOLDBERG 1. Intrductin. A well knwn therem f Titchmarsh [2] states that if fel2(0, ) and if g is the Furier csine transfrm f/, then G(x)=x~1Jx0g(y)dy
More informationChapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms
Chapter 5 1 Chapter Summary Mathematical Inductin Strng Inductin Recursive Definitins Structural Inductin Recursive Algrithms Sectin 5.1 3 Sectin Summary Mathematical Inductin Examples f Prf by Mathematical
More informationSupport-Vector Machines
Supprt-Vectr Machines Intrductin Supprt vectr machine is a linear machine with sme very nice prperties. Haykin chapter 6. See Alpaydin chapter 13 fr similar cntent. Nte: Part f this lecture drew material
More informationPressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects
Pressure And Entrpy Variatins Acrss The Weak Shck Wave Due T Viscsity Effects OSTAFA A. A. AHOUD Department f athematics Faculty f Science Benha University 13518 Benha EGYPT Abstract:-The nnlinear differential
More informationChapter 3 Kinematics in Two Dimensions; Vectors
Chapter 3 Kinematics in Tw Dimensins; Vectrs Vectrs and Scalars Additin f Vectrs Graphical Methds (One and Tw- Dimensin) Multiplicatin f a Vectr b a Scalar Subtractin f Vectrs Graphical Methds Adding Vectrs
More informationMODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b
. REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but
More informationIntroduction: A Generalized approach for computing the trajectories associated with the Newtonian N Body Problem
A Generalized apprach fr cmputing the trajectries assciated with the Newtnian N Bdy Prblem AbuBar Mehmd, Syed Umer Abbas Shah and Ghulam Shabbir Faculty f Engineering Sciences, GIK Institute f Engineering
More informationSection 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~
Sectin 6-2: Simplex Methd: Maximizatin with Prblem Cnstraints f the Frm ~ Nte: This methd was develped by Gerge B. Dantzig in 1947 while n assignment t the U.S. Department f the Air Frce. Definitin: Standard
More informationA PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM. Department of Mathematics, Penn State University University Park, PA16802, USA.
A PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM MIN CHEN Department f Mathematics, Penn State University University Park, PA68, USA. Abstract. This paper studies traveling-wave slutins f the
More informationKinematic transformation of mechanical behavior Neville Hogan
inematic transfrmatin f mechanical behavir Neville Hgan Generalized crdinates are fundamental If we assume that a linkage may accurately be described as a cllectin f linked rigid bdies, their generalized
More informationLHS Mathematics Department Honors Pre-Calculus Final Exam 2002 Answers
LHS Mathematics Department Hnrs Pre-alculus Final Eam nswers Part Shrt Prblems The table at the right gives the ppulatin f Massachusetts ver the past several decades Using an epnential mdel, predict the
More informationA new Type of Fuzzy Functions in Fuzzy Topological Spaces
IOSR Jurnal f Mathematics (IOSR-JM e-issn: 78-578, p-issn: 39-765X Vlume, Issue 5 Ver I (Sep - Oct06, PP 8-4 wwwisrjurnalsrg A new Type f Fuzzy Functins in Fuzzy Tplgical Spaces Assist Prf Dr Munir Abdul
More informationCOVERS OF DEHN FILLINGS ON ONCE-PUNCTURED TORUS BUNDLES
prceedings f the american mathematical sciety Vlume 105, Number 3, March 1989 COVERS OF DEHN FILLINGS ON ONCE-PUNCTURED TORUS BUNDLES MARK D. BAKER (Cmmunicated by Frederick R. Chen) Abstract. Let M be
More informationSPH3U1 Lesson 06 Kinematics
PROJECTILE MOTION LEARNING GOALS Students will: Describe the mtin f an bject thrwn at arbitrary angles thrugh the air. Describe the hrizntal and vertical mtins f a prjectile. Slve prjectile mtin prblems.
More informationLim f (x) e. Find the largest possible domain and its discontinuity points. Why is it discontinuous at those points (if any)?
THESE ARE SAMPLE QUESTIONS FOR EACH OF THE STUDENT LEARNING OUTCOMES (SLO) SET FOR THIS COURSE. SLO 1: Understand and use the cncept f the limit f a functin i. Use prperties f limits and ther techniques,
More informationBuilding to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems.
Building t Transfrmatins n Crdinate Axis Grade 5: Gemetry Graph pints n the crdinate plane t slve real-wrld and mathematical prblems. 5.G.1. Use a pair f perpendicular number lines, called axes, t define
More informationAn Introduction to Complex Numbers - A Complex Solution to a Simple Problem ( If i didn t exist, it would be necessary invent me.
An Intrductin t Cmple Numbers - A Cmple Slutin t a Simple Prblem ( If i didn t eist, it wuld be necessary invent me. ) Our Prblem. The rules fr multiplying real numbers tell us that the prduct f tw negative
More informationRevisiting the Socrates Example
Sectin 1.6 Sectin Summary Valid Arguments Inference Rules fr Prpsitinal Lgic Using Rules f Inference t Build Arguments Rules f Inference fr Quantified Statements Building Arguments fr Quantified Statements
More informationBootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >
Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);
More informationWe can see from the graph above that the intersection is, i.e., [ ).
MTH 111 Cllege Algebra Lecture Ntes July 2, 2014 Functin Arithmetic: With nt t much difficulty, we ntice that inputs f functins are numbers, and utputs f functins are numbers. S whatever we can d with
More informationComputational modeling techniques
Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins
More informationA NONLINEAR STEADY STATE TEMPERATURE PROBLEM FOR A SEMI-INFINITE SLAB
A NONLINEAR STEADY STATE TEMPERATURE PROBLEM FOR A SEMI-INFINITE SLAB DANG DINH ANG We prpse t investigate the fllwing bundary value prblem: (1) wxx+wyy = 0,0
More informationRevision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax
.7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical
More informationOF SIMPLY SUPPORTED PLYWOOD PLATES UNDER COMBINED EDGEWISE BENDING AND COMPRESSION
U. S. FOREST SERVICE RESEARCH PAPER FPL 50 DECEMBER U. S. DEPARTMENT OF AGRICULTURE FOREST SERVICE FOREST PRODUCTS LABORATORY OF SIMPLY SUPPORTED PLYWOOD PLATES UNDER COMBINED EDGEWISE BENDING AND COMPRESSION
More informationChapter 2 GAUSS LAW Recommended Problems:
Chapter GAUSS LAW Recmmended Prblems: 1,4,5,6,7,9,11,13,15,18,19,1,7,9,31,35,37,39,41,43,45,47,49,51,55,57,61,6,69. LCTRIC FLUX lectric flux is a measure f the number f electric filed lines penetrating
More informationSOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 4. Function spaces
SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 4 Fall 2014 IV. Functin spaces IV.1 : General prperties Additinal exercises 1. The mapping q is 1 1 because q(f) = q(g) implies that fr all x we have f(x)
More informationA proposition is a statement that can be either true (T) or false (F), (but not both).
400 lecture nte #1 [Ch 2, 3] Lgic and Prfs 1.1 Prpsitins (Prpsitinal Lgic) A prpsitin is a statement that can be either true (T) r false (F), (but nt bth). "The earth is flat." -- F "March has 31 days."
More information22.54 Neutron Interactions and Applications (Spring 2004) Chapter 11 (3/11/04) Neutron Diffusion
.54 Neutrn Interactins and Applicatins (Spring 004) Chapter (3//04) Neutrn Diffusin References -- J. R. Lamarsh, Intrductin t Nuclear Reactr Thery (Addisn-Wesley, Reading, 966) T study neutrn diffusin
More informationAP Statistics Notes Unit Two: The Normal Distributions
AP Statistics Ntes Unit Tw: The Nrmal Distributins Syllabus Objectives: 1.5 The student will summarize distributins f data measuring the psitin using quartiles, percentiles, and standardized scres (z-scres).
More informationA Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture
Few asic Facts but Isthermal Mass Transfer in a inary Miture David Keffer Department f Chemical Engineering University f Tennessee first begun: pril 22, 2004 last updated: January 13, 2006 dkeffer@utk.edu
More informationMath 302 Learning Objectives
Multivariable Calculus (Part I) 13.1 Vectrs in Three-Dimensinal Space Math 302 Learning Objectives Plt pints in three-dimensinal space. Find the distance between tw pints in three-dimensinal space. Write
More informationEquilibrium of Stress
Equilibrium f Stress Cnsider tw perpendicular planes passing thrugh a pint p. The stress cmpnents acting n these planes are as shwn in ig. 3.4.1a. These stresses are usuall shwn tgether acting n a small
More informationENGI 4430 Parametric Vector Functions Page 2-01
ENGI 4430 Parametric Vectr Functins Page -01. Parametric Vectr Functins (cntinued) Any nn-zer vectr r can be decmpsed int its magnitude r and its directin: r rrˆ, where r r 0 Tangent Vectr: dx dy dz dr
More informationFall 2013 Physics 172 Recitation 3 Momentum and Springs
Fall 03 Physics 7 Recitatin 3 Mmentum and Springs Purpse: The purpse f this recitatin is t give yu experience wrking with mmentum and the mmentum update frmula. Readings: Chapter.3-.5 Learning Objectives:.3.
More informationENGINEERING COUNCIL CERTIFICATE LEVEL THERMODYNAMIC, FLUID AND PROCESS ENGINEERING C106 TUTORIAL 5 THE VISCOUS NATURE OF FLUIDS
ENGINEERING COUNCIL CERTIFICATE LEVEL THERMODYNAMIC, FLUID AND PROCESS ENGINEERING C106 TUTORIAL 5 THE VISCOUS NATURE OF FLUIDS On cmpletin f this tutrial yu shuld be able t d the fllwing. Define viscsity
More informationThe Electromagnetic Form of the Dirac Electron Theory
0 The Electrmagnetic Frm f the Dirac Electrn Thery Aleander G. Kyriaks Saint-Petersburg State Institute f Technlgy, St. Petersburg, Russia* In the present paper it is shwn that the Dirac electrn thery
More informationAdvanced Heat and Mass Transfer by Amir Faghri, Yuwen Zhang, and John R. Howell
6.5 Natural Cnvectin in Enclsures Enclsures are finite spaces bunded by walls and filled with fluid. Natural cnvectin in enclsures, als knwn as internal cnvectin, takes place in rms and buildings, furnaces,
More information6.3: Volumes by Cylindrical Shells
6.3: Vlumes by Cylindrical Shells Nt all vlume prblems can be addressed using cylinders. Fr example: Find the vlume f the slid btained by rtating abut the y-axis the regin bunded by y = 2x x B and y =
More informationChE 471: LECTURE 4 Fall 2003
ChE 47: LECTURE 4 Fall 003 IDEL RECTORS One f the key gals f chemical reactin engineering is t quantify the relatinship between prductin rate, reactr size, reactin kinetics and selected perating cnditins.
More informationModule 4: General Formulation of Electric Circuit Theory
Mdule 4: General Frmulatin f Electric Circuit Thery 4. General Frmulatin f Electric Circuit Thery All electrmagnetic phenmena are described at a fundamental level by Maxwell's equatins and the assciated
More informationPreparation work for A2 Mathematics [2017]
Preparatin wrk fr A2 Mathematics [2017] The wrk studied in Y12 after the return frm study leave is frm the Cre 3 mdule f the A2 Mathematics curse. This wrk will nly be reviewed during Year 13, it will
More informationThermodynamics Partial Outline of Topics
Thermdynamics Partial Outline f Tpics I. The secnd law f thermdynamics addresses the issue f spntaneity and invlves a functin called entrpy (S): If a prcess is spntaneus, then Suniverse > 0 (2 nd Law!)
More informationPart a: Writing the nodal equations and solving for v o gives the magnitude and phase response: tan ( 0.25 )
+ - Hmewrk 0 Slutin ) In the circuit belw: a. Find the magnitude and phase respnse. b. What kind f filter is it? c. At what frequency is the respnse 0.707 if the generatr has a ltage f? d. What is the
More informationExponential Functions, Growth and Decay
Name..Class. Date. Expnential Functins, Grwth and Decay Essential questin: What are the characteristics f an expnential junctin? In an expnential functin, the variable is an expnent. The parent functin
More informationNOTE ON APPELL POLYNOMIALS
NOTE ON APPELL POLYNOMIALS I. M. SHEFFER An interesting characterizatin f Appell plynmials by means f a Stieltjes integral has recently been given by Thrne. 1 We prpse t give a secnd such representatin,
More informationNUMBERS, MATHEMATICS AND EQUATIONS
AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t
More informationLecture 5: Equilibrium and Oscillations
Lecture 5: Equilibrium and Oscillatins Energy and Mtin Last time, we fund that fr a system with energy cnserved, v = ± E U m ( ) ( ) One result we see immediately is that there is n slutin fr velcity if
More informationOn small defining sets for some SBIBD(4t - 1, 2t - 1, t - 1)
University f Wllngng Research Online Faculty f Infrmatics - Papers (Archive) Faculty f Engineering and Infrmatin Sciences 992 On small defining sets fr sme SBIBD(4t -, 2t -, t - ) Jennifer Seberry University
More informationPlasticty Theory (5p)
Cmputatinal Finite Strain Hyper-Elast Plasticty Thery (5p) à General ü Study nn-linear material and structural respnse (due t material as well as gemetrical effects) ü Fundamental principles fl Cntinuum
More informationREPRESENTATIONS OF sp(2n; C ) SVATOPLUK KR YSL. Abstract. In this paper we have shown how a tensor product of an innite dimensional
ON A DISTINGUISHED CLASS OF INFINITE DIMENSIONAL REPRESENTATIONS OF sp(2n; C ) SVATOPLUK KR YSL Abstract. In this paper we have shwn hw a tensr prduct f an innite dimensinal representatin within a certain
More informationSOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 4. Function spaces
SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 4 Fall 2008 IV. Functin spaces IV.1 : General prperties (Munkres, 45 47) Additinal exercises 1. Suppse that X and Y are metric spaces such that X is cmpact.
More information1 The limitations of Hartree Fock approximation
Chapter: Pst-Hartree Fck Methds - I The limitatins f Hartree Fck apprximatin The n electrn single determinant Hartree Fck wave functin is the variatinal best amng all pssible n electrn single determinants
More informationPhysics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018
Michael Faraday lived in the Lndn area frm 1791 t 1867. He was 29 years ld when Hand Oersted, in 1820, accidentally discvered that electric current creates magnetic field. Thrugh empirical bservatin and
More informationModeling the Nonlinear Rheological Behavior of Materials with a Hyper-Exponential Type Function
www.ccsenet.rg/mer Mechanical Engineering Research Vl. 1, N. 1; December 011 Mdeling the Nnlinear Rhelgical Behavir f Materials with a Hyper-Expnential Type Functin Marc Delphin Mnsia Département de Physique,
More informationPattern Recognition 2014 Support Vector Machines
Pattern Recgnitin 2014 Supprt Vectr Machines Ad Feelders Universiteit Utrecht Ad Feelders ( Universiteit Utrecht ) Pattern Recgnitin 1 / 55 Overview 1 Separable Case 2 Kernel Functins 3 Allwing Errrs (Sft
More informationPHYS 314 HOMEWORK #3
PHYS 34 HOMEWORK #3 Due : 8 Feb. 07. A unifrm chain f mass M, lenth L and density λ (measured in k/m) hans s that its bttm link is just tuchin a scale. The chain is drpped frm rest nt the scale. What des
More information7 TH GRADE MATH STANDARDS
ALGEBRA STANDARDS Gal 1: Students will use the language f algebra t explre, describe, represent, and analyze number expressins and relatins 7 TH GRADE MATH STANDARDS 7.M.1.1: (Cmprehensin) Select, use,
More informationEQUADIFF 6. Erich Martensen The ROTHE method for nonlinear hyperbolic problems. Terms of use:
EQUADIFF 6 Erich Martensen The ROTHE methd fr nnlinear hyperblic prblems In: Jarmír Vsmanský and Milš Zlámal (eds.): Equadiff 6, Prceedings f the Internatinal Cnference n Differential Equatins and Their
More informationMAKING DOUGHNUTS OF COHEN REALS
MAKING DUGHNUTS F CHEN REALS Lrenz Halbeisen Department f Pure Mathematics Queen s University Belfast Belfast BT7 1NN, Nrthern Ireland Email: halbeis@qub.ac.uk Abstract Fr a b ω with b \ a infinite, the
More informationFlipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System
Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed
More informationinitially lcated away frm the data set never win the cmpetitin, resulting in a nnptimal nal cdebk, [2] [3] [4] and [5]. Khnen's Self Organizing Featur
Cdewrd Distributin fr Frequency Sensitive Cmpetitive Learning with One Dimensinal Input Data Aristides S. Galanpuls and Stanley C. Ahalt Department f Electrical Engineering The Ohi State University Abstract
More informationSurface and Contact Stress
Surface and Cntact Stress The cncept f the frce is fundamental t mechanics and many imprtant prblems can be cast in terms f frces nly, fr example the prblems cnsidered in Chapter. Hwever, mre sphisticated
More informationKinetic Model Completeness
5.68J/10.652J Spring 2003 Lecture Ntes Tuesday April 15, 2003 Kinetic Mdel Cmpleteness We say a chemical kinetic mdel is cmplete fr a particular reactin cnditin when it cntains all the species and reactins
More informationChapter VII Electrodynamics
Chapter VII Electrdynamics Recmmended prblems: 7.1, 7., 7.4, 7.5, 7.7, 7.8, 7.10, 7.11, 7.1, 7.13, 7.15, 7.17, 7.18, 7.0, 7.1, 7., 7.5, 7.6, 7.7, 7.9, 7.31, 7.38, 7.40, 7.45, 7.50.. Ohm s Law T make a
More informationGAUSS' LAW E. A. surface
Prf. Dr. I. M. A. Nasser GAUSS' LAW 08.11.017 GAUSS' LAW Intrductin: The electric field f a given charge distributin can in principle be calculated using Culmb's law. The examples discussed in electric
More informationQuantum Harmonic Oscillator, a computational approach
IOSR Jurnal f Applied Physics (IOSR-JAP) e-issn: 78-4861.Vlume 7, Issue 5 Ver. II (Sep. - Oct. 015), PP 33-38 www.isrjurnals Quantum Harmnic Oscillatr, a cmputatinal apprach Sarmistha Sahu, Maharani Lakshmi
More informationON THE ABSOLUTE CONVERGENCE OF A SERIES ASSOCIATED WITH A FOURIER SERIES. R. MOHANTY and s. mohapatra
ON THE ABSOLUTE CONVERGENCE OF A SERIES ASSOCIATED WITH A FOURIER SERIES R. MOHANTY and s. mhapatra 1. Suppse/(i) is integrable L in ( ir, it) peridic with perid 2ir, and that its Furier series at / =
More informationCHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India
CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce
More informationDispersion Ref Feynman Vol-I, Ch-31
Dispersin Ref Feynman Vl-I, Ch-31 n () = 1 + q N q /m 2 2 2 0 i ( b/m) We have learned that the index f refractin is nt just a simple number, but a quantity that varies with the frequency f the light.
More informationTree Structured Classifier
Tree Structured Classifier Reference: Classificatin and Regressin Trees by L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stne, Chapman & Hall, 98. A Medical Eample (CART): Predict high risk patients
More informationOn Topological Structures and. Fuzzy Sets
L - ZHR UNIVERSIT - GZ DENSHIP OF GRDUTE STUDIES & SCIENTIFIC RESERCH On Tplgical Structures and Fuzzy Sets y Nashaat hmed Saleem Raab Supervised by Dr. Mhammed Jamal Iqelan Thesis Submitted in Partial
More informationFunctions. EXPLORE \g the Inverse of ao Exponential Function
ifeg Seepe3 Functins Essential questin: What are the characteristics f lgarithmic functins? Recall that if/(x) is a ne-t-ne functin, then the graphs f/(x) and its inverse,/'~\x}, are reflectins f each
More information[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y )
(Abut the final) [COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t m a k e s u r e y u a r e r e a d y ) The department writes the final exam s I dn't really knw what's n it and I can't very well
More informationInflow Control on Expressway Considering Traffic Equilibria
Memirs f the Schl f Engineering, Okayama University Vl. 20, N.2, February 1986 Inflw Cntrl n Expressway Cnsidering Traffic Equilibria Hirshi INOUYE* (Received February 14, 1986) SYNOPSIS When expressway
More informationDataflow Analysis and Abstract Interpretation
Dataflw Analysis and Abstract Interpretatin Cmputer Science and Artificial Intelligence Labratry MIT Nvember 9, 2015 Recap Last time we develped frm first principles an algrithm t derive invariants. Key
More information(Communicated at the meeting of September 25, 1948.) Izl=6 Izl=6 Izl=6 ~=I. max log lv'i (z)1 = log M;.
Mathematics. - On a prblem in the thery f unifrm distributin. By P. ERDÖS and P. TURÁN. 11. Ommunicated by Prf. J. G. VAN DER CORPUT.) Cmmunicated at the meeting f September 5, 1948.) 9. Af ter this first
More informationA NOTE ON THE EQUIVAImCE OF SOME TEST CRITERIA. v. P. Bhapkar. University of Horth Carolina. and
~ A NOTE ON THE EQUVAmCE OF SOME TEST CRTERA by v. P. Bhapkar University f Hrth Carlina University f Pna nstitute f Statistics Mime Series N. 421 February 1965 This research was supprted by the Mathematics
More informationTHE QUADRATIC AND QUARTIC CHARACTER OF CERTAIN QUADRATIC UNITS I PHILIP A. LEONARD AND KENNETH S. WILLIAMS
PACFC JOURNAL OF MATHEMATCS Vl. 7, N., 977 THE QUADRATC AND QUARTC CHARACTER OF CERTAN QUADRATC UNTS PHLP A. LEONARD AND KENNETH S. WLLAMS Let ε m dente the fundamental unit f the real quadratic field
More informationTrigonometric Ratios Unit 5 Tentative TEST date
1 U n i t 5 11U Date: Name: Trignmetric Ratis Unit 5 Tentative TEST date Big idea/learning Gals In this unit yu will extend yur knwledge f SOH CAH TOA t wrk with btuse and reflex angles. This extensin
More informationMATHEMATICS SYLLABUS SECONDARY 5th YEAR
Eurpean Schls Office f the Secretary-General Pedaggical Develpment Unit Ref. : 011-01-D-8-en- Orig. : EN MATHEMATICS SYLLABUS SECONDARY 5th YEAR 6 perid/week curse APPROVED BY THE JOINT TEACHING COMMITTEE
More information(1.1) V which contains charges. If a charge density ρ, is defined as the limit of the ratio of the charge contained. 0, and if a force density f
1.0 Review f Electrmagnetic Field Thery Selected aspects f electrmagnetic thery are reviewed in this sectin, with emphasis n cncepts which are useful in understanding magnet design. Detailed, rigrus treatments
More information, which yields. where z1. and z2
The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin
More informationIntroductory Thoughts
Flw Similarity By using the Buckingham pi therem, we have reduced the number f independent variables frm five t tw If we wish t run a series f wind-tunnel tests fr a given bdy at a given angle f attack,
More informationWYSE Academic Challenge Regional Mathematics 2007 Solution Set
WYSE Academic Challenge Reginal Mathematics 007 Slutin Set 1. Crrect answer: C. ( ) ( ) 1 + y y = ( + ) + ( y y + 1 ) = + 1 1 ( ) ( 1 + y ) = s *1/ = 1. Crrect answer: A. The determinant is ( 1 ( 1) )
More informationx x
Mdeling the Dynamics f Life: Calculus and Prbability fr Life Scientists Frederick R. Adler cfrederick R. Adler, Department f Mathematics and Department f Bilgy, University f Utah, Salt Lake City, Utah
More informationV. Balakrishnan and S. Boyd. (To Appear in Systems and Control Letters, 1992) Abstract
On Cmputing the WrstCase Peak Gain f Linear Systems V Balakrishnan and S Byd (T Appear in Systems and Cntrl Letters, 99) Abstract Based n the bunds due t Dyle and Byd, we present simple upper and lwer
More informationFlipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System
Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed
More information4F-5 : Performance of an Ideal Gas Cycle 10 pts
4F-5 : Perfrmance f an Cycle 0 pts An ideal gas, initially at 0 C and 00 kpa, underges an internally reversible, cyclic prcess in a clsed system. The gas is first cmpressed adiabatically t 500 kpa, then
More informationSections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.
Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage
More informationFigure 1a. A planar mechanism.
ME 5 - Machine Design I Fall Semester 0 Name f Student Lab Sectin Number EXAM. OPEN BOOK AND CLOSED NOTES. Mnday, September rd, 0 Write n ne side nly f the paper prvided fr yur slutins. Where necessary,
More informationDepartment of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets
Department f Ecnmics, University f alifrnia, Davis Ecn 200 Micr Thery Prfessr Giacm Bnann Insurance Markets nsider an individual wh has an initial wealth f. ith sme prbability p he faces a lss f x (0
More informationLecture 17: Free Energy of Multi-phase Solutions at Equilibrium
Lecture 17: 11.07.05 Free Energy f Multi-phase Slutins at Equilibrium Tday: LAST TIME...2 FREE ENERGY DIAGRAMS OF MULTI-PHASE SOLUTIONS 1...3 The cmmn tangent cnstructin and the lever rule...3 Practical
More informationThe Equation αsin x+ βcos family of Heron Cyclic Quadrilaterals
The Equatin sin x+ βcs x= γ and a family f Hern Cyclic Quadrilaterals Knstantine Zelatr Department Of Mathematics Cllege Of Arts And Sciences Mail Stp 94 University Of Tled Tled,OH 43606-3390 U.S.A. Intrductin
More informationChapter 8. The Steady Magnetic Field 8.1 Biot-Savart Law
hapter 8. The teady Magnetic Field 8. Bit-avart Law The surce f steady magnetic field a permanent magnet, a time varying electric field, a direct current. Hayt; /9/009; 8- The magnetic field intensity
More informationFINITE BOOLEAN ALGEBRA. 1. Deconstructing Boolean algebras with atoms. Let B = <B,,,,,0,1> be a Boolean algebra and c B.
FINITE BOOLEAN ALGEBRA 1. Decnstructing Blean algebras with atms. Let B = be a Blean algebra and c B. The ideal generated by c, (c], is: (c] = {b B: b c} The filter generated by c, [c), is:
More informationLead/Lag Compensator Frequency Domain Properties and Design Methods
Lectures 6 and 7 Lead/Lag Cmpensatr Frequency Dmain Prperties and Design Methds Definitin Cnsider the cmpensatr (ie cntrller Fr, it is called a lag cmpensatr s K Fr s, it is called a lead cmpensatr Ntatin
More information