LECTURE NOTES OF DIFFERENTIAL EQUATIONS Nai-Sher Yeh

Size: px
Start display at page:

Download "LECTURE NOTES OF DIFFERENTIAL EQUATIONS Nai-Sher Yeh"

Transcription

1 LECTURE NOTES OF DIFFERENTIAL EQUATIONS Nai-Sher Yeh June 2; 2009

2 Differential Equations 2 Introduction. Ordinary Differential Equation Def. A functional equation containing a function and its derivatives is called a D. E. Ex. :A D. E. (y = f(x)) y 0 + 2xy = 0 Def. The "order" of a D. E. is the highest derivative order of the function which appear in D. E. Ex. The order is 2. # Ex. It's a 3rd order D. E. x d2 y dx 2 + ydy dx y 2 x = 0: y 2dy dx + 2 = 0: Def. The "degree" of a D. E. is the highest degree of the function with highest order derivative which appears in the D. E. Ex. (y 00 ) 3 2 = + y 0 =) y 003 = ( + y 0 ) 2 It's a 2nd order 3rd degree D. E. #

3 Differential Equations 3 Ex. + x 2 = sin y 0 It's a st order. st degree D. E. #.. Varieties of D. E.s () Ordinary D. E. (O. D. E.): a D. E. containing single independent variable. (2) Partial D. E. (P. D. E.): a D. E. containing at least 2 independent variables.

4 Differential Equations 4.2 Solution (or Integral) of a D. E. Def. A function satisfying a given D. E. is called its "solution." There are 3 kinds of solutions: (for O. D. E.s): general solution (G. S.) particular solution (P. S.) singular solution (S. S.) Def. A solution of an n th order D. E. containing n arbitrary constants is called the G. S. of the D. E. Ex. y 00 + y = 0; y = f(x) 2 C 2 : solution 2y 0 y 00 = 2yy 0 ; ) y 02 = y 2 + C ) y 2 + y 02 = C; C 0 ) y 0 = dy q dx = ec 2 dy ) q = dx; C e 2 y 2 y 2 ; e C 2 = C i. e. y = e C cos(x + ^C);

5 Differential Equations 5 or y = C e cos x cos ^C C e sin x sin ^C = C cos x + C 2 sin x; where C ; C 2 : arbitrary constant. ) it is a G. S. of y 00 + y = 0: # Def. A function which is obtained by assigning some xed numbers in the G. S. of a D. E. is called a P. S. of the D. E. For example, let is a P. S. of y 00 + y = 0: C = 4; C 2 = 3; y = 4 cos x + 3 sin x (Note that G. S. is a set of P. S.s.) Def. A function which is a solution of a D. E. but not a P. S. of the D. E. is called a S. S. of the D. E. Ex. y 2 ( + y 02 ) = Solution: y = satisfy the equation y 2 ( + y 02 ) = : But by solving it, we nd y 2 + (yy 0 ) 2 = ; y 02 = y2 y 2 ) y 0 = dy p y dx = 2 y ) ydy p y 2 = dx ) p y 2 = (x c)

6 Differential Equations 6 Thus (x c) 2 + y 2 = is the G. S. of y 2 ( + y 02 ) =, but y = can't be obtained by given proper c. i. e. y = : S. S. of the D. E. #

7 Differential Equations 7.3 Linear and Non-linear D. E.s Every term of a D. E. contains at most degree of a function or its derivatives with the coefcient as the function of independent variables is called a linear D. E., otherwise the D. E. is called a non-linear D. E. Ex. P 0 (x)y 00 + P (x)y 0 + P 2 (x)y = (x): Ex. Ex. it's a linear D. E. # x (x2 It's a non-linear D. E. # x (x2 It's a linear D. E. # z = 0: y = 0: Note: Linear D. E. usually does not contain S. S.

8 Differential Equations 8.4 Primitive and D. E. Def. A functional equation containing n arbitrary (linearly independent) constants, say f(x; y; c ; c 2 ; c n ) = 0; () which can be reduced to a D. E. Then () is called the "primitive" of the D. E. Note: When we are given a D. E., the result after solving the D. E. is called "solution." If we are given an equation (and NOT a D. E.), but asked to nd a D. E. from the equation, then the given equation is called "primitive." (integral)solution -D:E:. primitive Theorem If a primitive has n arbitrary constants, then it has an n-th order O.D. E. Conversely, an n-th order O.D. E. has a G. S. with n arbitrary constants. e. g. f(x; y; c ; c 2 ; ; c n ) = 0; (i) D. E. of f: g(x; y; y 0 ; y [n] ) = 0 (ii) (ii)! (i): (i) is a G. S. of (ii). (i)! (ii): (i) is a primitive of (ii). pf. of the theorem: Let the primitive be f(x; y; c ; c 2 ; c n ) = 0 (a)

9 Differential Equations 9 where y = h(x). Consider f 2 C n, y0 2 y @y y0 = 0 () y" = 0 n + y[n] = 0 (n) 6= 0, i. e. (a) really contains y. Then we may eliminate n arbitrary constants from the n equations to obtain a D. E. of n-th order. # Ex. y = ax 2 + bx + c, where a,b and c are arbitrary constants. Find the D. E. Solution: Primitive: y ax 2 bx c = 0 (3) is the desired D. E. # =) y 0 2ax b = 0 () y 00 2a = 0 (2) y [3] = 0 (3) Ex. Given y = ax 4 + bx 3 + c, where a,b & c are arbitrary Find the D. E. solution We have then y + ax 4 + bx 3 + c = 0 (a)

10 Differential Equations 0 8 < : 4ax 3 + 3bx c y 0 = 0 () 2ax 2 + 6bx + 0 c y 00 = 0 (2) 24ax + 6b + 0 c y [3] = 0 (3) Combining (a), (), (2) & (3), we nd 2 x 4 x 3 y 4x 3 3x 2 0 y x 2 6x 0 y 00 24x 6 {z 0 y [3] } A a b c {z } X = {z } 0 i. e. AX = 0, A is a n n matrix. (By Fredholm Alternative) AX = 0 has only the trivial solutionx =0, det A 6= 0: Thus Since 9X =(a; b; c; ) T 6= 0 s. t. AX = 0; i. e. det A = 0. x 4 x 3 y 4x 3 3x 2 0 y 0 2x 2 6x 0 y 00 is the desired D. E. # 24x 6 0 y [3] = 0

11 Differential Equations.5 Initial-Value Problems, Boundary-Value Problems, and Basic Existence and Uniqueness Theorem of the st order D. E. 8 dy < dx = 2x () (a D:E:) e:g: y() = 4 (2) (a supplementary : condition) The G. S. of the D. E. : where c is an arbitrary constant. (?) x 2 + c = y; Substitute x = & y = 4 into (?),we nd c = 3. ) y = x is a solution of (), (2). # Def. A problem involves both a D. E. and one or more supplementary conditions which the solution of the given D. E. must satisfy. If all of the associated supplementary conditions related to one x value, the problem is called an "initial- value problem." If the conditions related to two different x values, the problem is called a "two-point boundary-value problem" or simply a "boundary-value problem." d Ex. dx + y = 0, y() = 3 & y0 () = 4: Solution: The above is an initial-value problem. # Ex. d dx + y = 0, y(0) = & y( 2 ) = 5:

12 Differential Equations 2 This is a boundary-value problem. # Theorem 2 Existence and Uniqueness Theorem Let the functions be continuous in some rectangle < x < ; r < y <, containing the point (x 0 ; y 0 ). Then in some interval jx x 0 j < h contained in < x < ; 9!y = (x) being the solution of y 0 = f(x; y) (?) y(x 0 ) = y 0 d Ex. dx = x 2 + y 2 (A) y() = 3 Solution: Let f(x; y) = x 2 + y 2 = 2y: * are continuous in every rectangle < x < ; r < y < containing (,3). ) By theorem, 9!y = (x) satises (A). # Ex. ( dy dx = y p x y() = 2 (); ( dy dx = y p x y(0) = 2 (2) Solution: Set f(x; y) = p y = p : x

13 Differential Equations 3 Both funs. are continuous except for x = 0. Hence the existence and uniqueness theorem can only be applied in (), but not in (2). # i. e. in (),9!y = (x) being the solution of (); but in (2), inconclusive. # Remark The knowledge that (?) has a unique solution y = (x) is our hunting license to go hunting for it. We can apply any method (including guessing) to nd its solution. Ex. y 0 = xy & y(0) = 0 () Solution: Set f(x; y) = :continuous in xy plane. ) By theorem: 9!y = (x) satises (). Since y 0 is a solution of (). Hence y 0 is the unique solution of (). # x

14 Differential Equations 4.6 Method of Isoclines Procedure: Graphical Construction of Integral Curves of st Order D. E.s Def. Consider the st order D. E.: dy = f(x; y) (A): dx (A) is a curve along which the slope f(x; y) has a constant c is called an isocline of the D. E. (A), i. e. the isoclines of (A) are the curves f(x; y) = c for different values of c. (c is considered as a parameter.) Def. At each point in the xy plane where f(x; y) is dened, (A) provides a value for y 0, which can be thought of as the slope of a line segment through that point The totality of all such line segments form the "direction eld" for (A)..6. Method of isoclines procedure (i) From (A), determine the family of isoclines f(x; y) = c (B) and carefully construct several members of this family. (ii) Consider a particular isocline f(x; y) = c 0 of this family in (B): At all points (x; y) on the isocline the line segments have the same slope c 0 and have the same inclination: 0 = tan c 0 :

15 Differential Equations 5 (iii) Repeat the step (ii) for each of the isocline of (B). (iv) Draw the approximate integral curves indicated by the line segments obtained in Step (iii) Ex. Figure. Employ the method of isoclines to sketch the approximate integral curves dy dx = x2 + y 2 (): Solution: i) The isoclines of () are the curves x 2 + y 2 = c 2 ii) Let c =, x 2 + y 2 = (i: e: d dx Homework: () Given the initial value problem ( dy dx = x y (?) y(0) = 2 a). Sketch the direction eld. = ), etc. b). Employ the method of isocline to sketch the approximate

16 Differential Equations 6 integral curve of (?). c). Solve (?), then sketch the integral curves. d) Compare with those obtained in (b), (c).

17 Differential Equations 7 2 Solution of the First Order D. E.s 2. D. E.s of Separable Variables Def. If a D. E. f(x; y) = y 0 (A) can be written as M(x)dx + N(y)dy = 0 () then the D. E. is called a "separable D. E." Theorem 3 The G. S. of (A) is Z M(x)dx + Z N(y)dy = c; where c is an arbitrary constant. pf. * M(x)dx = N(y)dy (2) Let H and H 2 be any functions of x and y, respectively, s.t. H 0 (x) = M(x); H 0 2(y) = N(y); ) H 0 (x)dx + H 0 2(y)dy = 0: (3) If y = (x) is a differentiable function of x and a solution of (): By Chain-Rule: H2(y) 0 dy dx = d dx [H 2((x))]

18 Differential Equations 8 From (2), we have i. e. H 0 (x) + H 0 2(y) dy dx = 0; H 0 (x) + d dx [H 2((x))] = 0 (3) 0 () d dx [H (x) + H 2 ((x))] = 0: Integrating (3) 0 with respect to (w; r; t) x, we obtain that H (x) + H 2 ((x)) = c; where c is an arbitrary constant; Z Z i: e: M(x)dx + N(y)dy = c: z

19 Differential Equations Exact D. E. Def. A D. E. M(x; y)dx + N(x; y)dy = 0 is called "exact" provided that 9 a differentiable function u(x; y) s.t. du = M(x; y)dx + N(x; y)dy. So Ex. 2xydx + (x 2 + sin y)dy = 0 (A)? Consider i. e. (A) is exact. # Theorem 4 A D. E. u(x; y) = x 2 y cos y: du = 2xydx + (x 2 + sin y)dy: M(x; y)dx + N(x; y)dy = 0 (A) with M and N 2 C is exact. () M y = N x (B) pf.()) Let (A) be exact, we will show that (B) holds. * (A) is exact, 9 a differentiable function u s.t. du = Mdx + Ndy Since du = u x dx + u y dy = Mdx + Ndy :

20 Differential Equations 20 we nd that u x = M(x; y); u y = N(x; y) and M y = u xy = u yx = N x ; M; N 2 C 0 # (() Let (B) holds, we will show that there's a function u s.t. du = Mdx + Ndy; i. e. u x = M; u y = N: Set u(x; y) = then we nd that Z x x 0 M(t; y)dt + (y); N = u y Z ( M(t; y)dt + (y)) = = Z x Zx 0 x x 0 x 0 M y (t; y)dt + 0 (y) N t (t; y)dt + 0 (y) = N(x; y) N(x 0 ; y) + 0 (y); ) 0 (y) = N(x 0 ; y); (y) = Z y y 0 N(x 0 ; t)dt;

21 Differential Equations 2 and Z x Z y u(x; y) = M(t; y)dt + x 0 y 0 ( * du = 0) ) du = Mdx + Ndy: N(x 0 ; )d = c (Thus u is a G. S. of Mdx + Ndy = 0:) # Ex. 2yxdx + (x 2 + sin y)dy = 0 () Solution: Since M y = 2x = N x = 2x, we nd that () is exact by theorem. Then the solution of (): Z x Z y * u(x; y) = (2ty)dt + (x sin t)dt = c; x 0 y 0 ) u(x; y) = x 2 y x 2 0y + x 2 0(y y 0 ) cos y + cos y 0 = c: : the G. S. of () # ) x 2 y cos y = c (Note that x 0 ; y 0 can be chosen freely to suit our need. In this case,x 0 and y 0 are irrelevant, since the related tems can be absorbed by the arbitrary constant c.)

22 Differential Equations Integrating Factor Def. If is not exact, but Mdx + Ndy = 0 () (x; y)(mdx + Ndy) is exact for a function 2 C. Then is called an "integrating factor." Theorem 5 Given a D. E. Mdx + Ndy = 0 (A): Then 2 C is an integrating factor of (A), (M) y = (N) x : 2.3. Derivation for (x; y) (M) y = (N) x, y M + M y = x N + N x (B) i) Suppose that is a function of x only. i. e. = f(x); then (B) ) ii) If M y N N x x = ( M y N N x ) (C) is also a function of x only, then

23 Differential Equations 23 i. e. (C) ) x = M y N N x d = (M y N x )dx N Z ) ln = ( M y N x )dx N ) = exp( Ex. ydx xdy = 0 () Z My N N x ; dx): # Let Then Solution: Let M = y; N = x; then M y = 6= = N x () is not an exact D. E., consider M y N N x = ( ) x Z (x; y) = exp( (x; y) = = 2 x = g(x): 2 x dx) = x 2 (2) ) (x; y)(ydx xdy) = 0 ) y x 2dx dy = 0: x Z x x 0 ( y t 2)dt + Z y y 0 ( x 0 )dt = c;

24 Differential Equations 24 and set (x 0 ; y 0 ) = (; 0), we nd (x; y) = y x + 0 = ec i. e. : G. S. of (). # y x + c = 0 Remark 2 We may also assume that is a function of y only. i. e. If ( N x M M y y M + M y = x N + N x ) y = ( N x M y M ): ) is also only a function of y, then Z Nx = exp( : an integrating factor of (A). M M y dy)

25 Differential Equations 25 3 Isobraic D. E. and Homogeneous D. E. Def. A D. E. f(x; y; y 0 ; ; y [n] ) = 0 () is said to be isobraic of weight provided that f(tx; t m y; t m y 0 ; ; t m n y [n] ) = t f(x; y; y 0 ; ; y [n] ) (2): Ex. (x + 2x 2 y)y 0 + 2y + 3xy 2 = 0 (A): Solution: Check (A) to see if (A) is isobraic. Let f(x; y; y 0 ) = xy 0 + 2x 2 yy 0 + 2y + 3xy 2 ; then If (B) holds, f(tx; t m y; t m y 0 ) = (tx)(t m y 0 ) +2(tx) 2 (t m y)(t m y 0 ) + 2(t m y) + 3(tx)(t m y) 2 = t +m xy 0 + t 2+m+m 2x 2 yy 0 +t m 2y + t +2m 3xy 2 = t f(x; y; y 0 ) (B) t = t m = t 2m+ i. e. = m =. Thus (A) is isobraic D. E. of weight. Note. If we set t = x in an isobraic D. E., (2) becomes

26 Differential Equations 26 i. e. f(; From (3), y y 0 x m; x m f(; ; ; y [n] x m n) = x f(x; y; y0 ; ; y [n] ) = 0 y y 0 x m; x m f = ( y y 0 x m; x m ; ; y [n] xm n) = 0 (3) ; ; y [n] x m n) = 0 ) y[n] x = ( y y 0 m n x m; x m ; ; y [n ] x m n+): Hence for a st order isobraic D. E., we may have a standard form Let and i. e. y 0 x m y 0 x m i) If (u) mu 6= 0 : = ( y xm) (4) u = y x m ) y = xm u; y 0 = mx m u + x m u 0 = mu + xu0 = (u):

27 Differential Equations 27 i. e. du dx = (u) mu u0 = x du, (u) mu = dx x Z ln jcxj = (u) mu du; Z, x = ~c exp( (u) ii) If (u) mu = 0 : mu du) or roots of are solutions of u = y x m ; Ex. We know that xu 0 = 0 ) u = c (u) mu = 0 ) y = x m u: (x + 2x 2 y)y 0 + 2y + 3xy 2 = 0 () is an isobraic D. E. of weight : Find the solution of ().

28 Differential Equations 28 Solution: Set t = x : with m = = * f(tx; t m y; t m y 0 ) = t f(x; y; y 0 ) : Its algebraic structuren becomes ) f(; xy; x 2 y) = xf(x; y; y 0 ) = (x 2 + 2x 3 y)y 0 + 2xy + 3(x 2 y 2 ) = 0 = (xy; x 2 y): To actually solve the problem, assume that u = xy. Then we have y 0 = u0 y x Substituting the above into (), = u0 u x x : ( + 2u)(u 0 u x ) + 2(u x ) + 3u2 x = 0 i) u 6= 0 and u 6= : Then Z + 2u u(u + ) du =, ( + 2u)u 0 + u + u2 = 0 x, ( + 2u) du u(u + ) = : dx x Z du u + Z du u + = ln ju(u + )j = Z dx x = ln jcxj

29 Differential Equations 29 i. e. u(u + ) = cx ; u = xy = q 2 or y = + 4 cx : 2x ii) u = 0 or u = : ) u = 0, xy = 0; i. e. y = 0 ) u =, xy = ; i. e. y = x. q + 4 Thus the solutions of () are : q y = + 4 cx ; y = 0 or y = 2x x : Homework: Solve the following D. E.s: ()2x 2 y 0 x 2 y 2 + 2xy + = 0. (2)x 3 y 0 x 2 y + y 2 = 0. cx ;

30 Differential Equations Homogeneous D. E.s Def. A D. E. M(x; y)dx + N(x; y)dy = 0 () is said to be homogeneous provided that M, N are of the same weight in x and y. (m = ): M(tx; ty) = t M(x; y) i. e. N(tx; ty) = t (2) N(x; y) Note. From (), we have d dx = M(x;y) N(x;y) = = M(tx;ty) Let x t M(x;y) t N(x;y) N(tx;ty) (3) = t, and substitute it into (3), we obtain that dy dx = M(; y x ) N(; y x ) = (y x ): Hence y 0 = ( y x ) is the standard form for homogeneous D. E.s Ex. Solve (y + p x 2 + y 2 )dx xdy = 0 () solution Let M(x; y) = y + p x 2 + y 2 N(x; y) = x ) M(tx; ty) = ty + p (tx) 2 + (ty) 2 = t(y + p x 2 + y 2 ) N(tx; ty) = tx = t( x)

31 Differential Equations 3 So () is homogeneous. Again, from(), we have dy dx = y + p x2 + y 2 = y r x x + + ( y x )2 = ( y x ) Set and Then () becomes u = y x ) y = xu y 0 = u + xu 0 : u + xu 0 = u + p + u 2 (2), x du dx = p + u 2, du p + u 2 = dx x : Set i. e. u = tan Z, = tan u sec 2 Z, sec d = sec d = ln jcxj: ln j sec + tan j = ln jcxj; r, p u u = ( y x )2 + + y x = cx (3):

32 Differential Equations 32 Thus r ( y x )2 + + y x = cx is the G. S. of (). Homework. Solve the D. E.s: () (2) y 0 = y2 + 2xy x 2 : (x + y)dy = (x y)dx Remark 3 A homogeneous D. E. is an isobraic D. E. of weight with m equals to :

33 Differential Equations 33 4 Linear D. E. of First Order and Its Expansions 4. First Order Linear D. E. e. g. P 0 (x)y 0 + P (x)y = Q(x); P 0 ; P ; Q 2 C 0 () f(x; y; y 0 ) = 3x + 5x 2 y + 6xy 0 = 0 (A) Def. A D. E. with the form of () is called the st order linear D. E. (P 0 6= 0): Derivations: From (), we have y 0 + p(x)y = f(x)p; f 2 C 0 (2), dy + [p(x)y f(x)] = 0 dx, [p(x)y f(x)]dx + dy = 0 (3) that Let M(x; y) = p(x)y f(x) N(x; y) = Then since M y = p(x) 6= 0 = N x, (3) is not exact. Assume Mdx + Ndy = 0

34 Differential Equations 34 being exact, i. e. Consider = (x),then and then Now then (M) y = (N) x : 0 = d dx = (M y Z x M y = exp( M y N N x N N N x N x = p(x); = e R x p(x)dx : integrating factor of (3), and (3) becomes ) dx): e R x p(x)dx y 0 + e R x p(x)dx p(x)y = e R x p(x)dx f(x), d dx (er x p(x)dx y) = e R x p(x)dx f(x), e R x p(x)dx y = Z x e R x p(x)dx f(x)dx + c, y = e R x p(t)dt [Z x e R u p(t)dt f(u)du + c] (4); which is a G. S. of ().

35 Differential Equations 35 Ex. ( y 0 + 2y = e x ; (?) y(0) = 3: Solution: Since (?) is a st order linear D. E., we nd that y = e R x 2dt [Z x e t e R t 2du dt + c] = e 2x [Z x e t e 2t dt + c] = e 2x (e x + c) = e x + ce 2x ; y(0) = + c = 3; ) c = 2 ) y(x) = e x + 2e 2x :

36 Differential Equations Bernoulli D. E. Def. First order D. E. of the form y 0 + P (x)y = Q(x)y n () is called a Bernoulli D. E. Discussions : i) n = : () ) y 0 + P (x)y = Q(x)y i. e. y 0 + (P (x) Q(x))y = 0 ) dy = [P (x) Q(x)]dx y ) y(x) = ce R x (P (x) Q(x))dx : (where c: arbitrary.) ii) n 6= : Let then () ) y n y 0 + P (x)y n = Q(x): u = y n ; u 0 = ( n)y n y 0 :

37 Differential Equations 37 Substitute the above into (), we nd u 0 n + P (x)u = Q(x), u 0 + ( n)p (x)u = ( n)q(x): Use the formula of st order linear D. E., we have where And nally, u(x) = e R x ~p(^u)du [Z x f(t)e R t ~p(^u)du dt + c] ~p(x) = ( f(x) = ( n)p (x); n)q(x): y = u n : G. S. of (): Ex. y 0 + 2xy = xe x2 y 3 (A): Solve y: Set Solution: (A) is a Bernoulli D. E. with n = 3, i. e. Then (B) becomes: y 3 y 0 + 2xy 2 = xe x2 (B) u = y 2 ) u 0 = 2y 3 y 0 : u xu = xe x2 (C)

38 Differential Equations 38 So ) u 0 4xu = 2xe x2 (C) 0 u(x) = e R x ( 4^u)d^u [2 Z x ( te t2 )e R t ( 4v)dv dt + c] x = 2e (Z 2x2 te t2 e 2t2 dt + c) = Z x ( e 3 e2x2 3t2 d(3t 2 ) + c) = 3 e2x2 (e 3x2 + c) = 3 e x2 + c 3 e2x2 : And then y = u 2 = [ e 2x2 3 (e 3x2 + c)] 2 :

39 Differential Equations Riccati D. E. y 0 = P (x) + Q(x)y + R(x)y 2 ; P; Q; RC 0 (): Def. The st order D. E. with the form of equation () is called a Riccati D. E. Let Disscussions: i) If one P. S. y of () is known. i. e. () (2) : y 0 = P (x) + Q(x)y + R(x)y 2 (2): y 0 y 0 = Q(x)(y y ) + R(x)(y 2 y 2 ) (2) 0 y y = u; y = u + y ) u 0 = Q(x)u + R(x)(u 2 + 2uy ) ) u 0 = (Q(x) + 2R(x)y )u + R(x)u 2 (3) (3) is a Bernoulli D. E. with n = 2 for u: Set f(x) = Q(x) + 2y R(x); then u 2 u 0 f(x)u = R(x) (4):

40 Differential Equations 40 Let then becomes v = u ; v 0 = u 2 u 0 (4) 0 ; v 0 + f(x)v = R(x); and ) v(x) = u = e R x f(t)dt [Z x R(t)e R t f(r)dr dt + c] = g(x; c); y(x) = y (x) + g(x; c) : ii) If 2 P. S.s y and y 2 of () are known. Then () (5) : From (2) 0 : y 0 2 = P (x) + Q(x)y 2 + R(x)y 2 2 (5): y 0 y 0 2 = Q(x)(y y 2 ) + R(x)(y 2 y 2 2) (6) (y y ) 0 y y = Q(x) + R(x)(y + y ) (7) and from (6): (y y 2 ) 0 y y 2 = Q(x) + R(x)(y + y 2 ) (8)

41 Differential Equations 4 Set then (7) (8) : i. e. Y 0 y y = Y ; y y 2 = Y 2 ; Y2 0 = (y Y Y 2 Y 0 y 2 )R(x) = f(x); Y2 0 = f(x); Y Y 2 dy dy 2 = f(x)dx (0) Y Y 2 Integrating (0) w.r.t. x, we have ln jy j ln jy 2 j = Z x f(t)dt + ln j~cj; i:e: ln j Y Z x j = f(t)dt; ~cy 2 y y or = ~ce R x f(t)dt (): y y 2 () is a G. S. of () Ex. y 0 = Solution: y = x ) x + y x + y2 x 3 (). Find the solution y(x). = x + x x + x2 x 3 = ; ) y = x: a P. S. of ().

42 Differential Equations 42 y = x ) = x + x x + ( x)2 ; x 3 ) y = x: also a P. S. of (). Hence we nd ( (y x) 0 = x (y x) + x 3 (y 2 x 2 ) ) 8 < : (y + x) 0 = x (y + x) + x 3 (y 2 x 2 ) (y x) 0 y x = x + x 3 (y + x); (y+x) 0 y+x = x + x 3 (y x); ) d(y x) y x d(y + x) y + x = x 3(2x)dx ) ln jy xj ln jy + xj = 2 + ln j~cj x ) y x y + x = ce 2 x ) y = + ce 2 x x: ce 2 x

43 Differential Equations D. E. of the form y 0 = f( x+y+ ax+by+c ) () Discussions: where i) If a = b = k: constant. x + y + + by + c) f( ) = f(k(ax kc + ) ax + by + c ax + by + c = f(k + kc ax + by + c ) d = ( ax + by + c ) All we have to do is set = y 0 ; d = kc: u = ax + by + c: ii) If a 6= b : X = x + h Let s. t. Y = y + k x + y + = X + Y ax + by + c = ax + by where h k + = 0 ah bk + c = 0

44 Differential Equations 44 (Note that the solution for h and k denitely exists, since det A a b = b a 6= 0:) Then () can be written as i. e. Let () ) Hence either or y 0 X + Y = f( ax + by ) = f( + ( Y X ) a + b( Y X ) ); y 0 = ( Y X ) (): u = Y X ; Y 0 (= y 0 ) = u 0 X + u; Y 0 = (u) = u 0 X + u: (a): (u) u = 0 (b): (u) u 6= 0: We may nd solution of u from (a) and (b). Ex. (x + y )dy + (5x + 5y + 3)dx = 0: Please solve for y = y(x).

45 Differential Equations 45 Solution: dy dx = 5x + 5y + 3 x + y = 5 8 x + y : Let x + y = u; then u 0 = + y 0 i) If u + 2 6= 0 : 8 u = 4( u + 2 u ) ) y 0 = u 0 = 5 du dx = 4u 8 u 4 ( u du) = dx u + 2 ) 4 ( 2 )du = dx u + 2 ) x + c = (u 2 ln ju + 2j) 4 ) x + c = (x + y 2 ln jx + y + j): 4 ii) If u + 2 = 0 : i. e. ) y = x: u = 2 = x + y ;

46 Differential Equations 46 Answer: The solutions of y are x + c = (x + y 2 ln jx + y + j) 4 or y = x: Ex. (x y + 3)y 0 (x + y 7) = 0: Solve the differential equation. Set Solution: y 0 = x + y 7 x y + 3 X = x + h; Y = y + k; h k 7 = 0; and then We nd h = 2; k = 5. So h + k + 3 = 0: Let y 0 = Y 0 = X + Y X Y = + Y X Y X = u; Y X Y 0 = u 0 X + u ) u 0 X + u = + u u ; Xu0 = + u u + u2 u ) X du dx = + u2 u : :

47 Differential Equations 47 Then ) du + u 2 2 ( u) du = dx + u 2 X d + u 2 = dx + u 2 X ) tan u 2 ln + u 2 = ln jcxj ) u = tan cx p + u 2 s ) y 5 2 y 5 = c(x 2) + : x 2 x 2 The solution is y 5 x 2 = c(x 2) s + 2 y 5 : x 2

48 Differential Equations Orthogonal Trajectories Figure. Def. Let F (x; y; c) = 0 (A) be a given one-parameter family of curves in the xy plane. A curve that intersects the curves of the family (A) at right angle is called an orthogonal trajectory of (A). Then (* y 0 g y 0 f F (x; y; c) = 0 $ D: E: dy dx = f(x; y) dy dy of g(x; y; c) = 0 is dx dx = f(x; y) = ); which means g(x; y) = 0 being orthogonal to F (x; y; c) = 0: Procedure for nding the orthogonal trajectories for a given family of curves F (x; y; c) = 0 :

49 Differential Equations 49 i) Find the corresponding D. E. of (A): ii) Replace f(x; y) by dy dx = f(x; y): f(x;y) : dy dx = f(x; y) (B) which is the D. E. of the orthogonal trajectories. iii) Find the G. S. of (B), which is the desired family of orthogonal trajectories. Ex. Find the orthogonal trajectories of Solution: i) Find the D. E. of (A): Plug (B) into (A): y 2 = cx (A) * y 2 = cx ) 2yy 0 = c (B) y 2 = (2yy 0 )x = 2xyy 0 ; y 0 = y = f(x; y) (C): 2x

50 Differential Equations 50 ii) Replace f(x; y) by f(x; y) : i. e. dy dx = 2x y (D): iii) Solve the G. S. of (D) : y 0 2x = y, dy dx = 2x y, ydy = 2xdx, y2 2 = x2 + ~c, 2x 2 + y 2 = c 2 : the desired orthogonal trajectories. Homework: Find the orthogonal trajectories of the following equations : i) x 2 = 4cy 3. ii) x 2 + y 2 = 2cx. iii) x + y = ce y which passes (0; 5):

51 Differential Equations Isogonal Trajectories Def. Let F (x; y; c) = 0 (A) be a one-parameter family of curves. A curve that intersects the curves of (A) at a constant angle 6= 2 is called an isogonal trajectory of (A). F (x; y; c) = 0! D: E: : dy dx The slope of L : Figure. dy dx = tan = f(x; y) = f(x; y) Then the slope of L 2 : dy dx = tan = tan( + ) = = tan + tan tan tan f(x; y) + tan f(x; y) tan :

52 Differential Equations 52 Hence dy f(x; y) + tan = dx f(x; y) tan is the D. E. of isogonal trajectories of (A). Ex. Find the family of isogonal trajectories to intersects the family of straight lines at angle 45. Solution: i) Find the D. E. of (A) : Plug () into (A) : or in (2) : y 0 = y x ii) Replace f(x; y) by y = cx (A) () y 0 = c from y = cx: y 0 = y = xy 0 ; = f(x; y) (2): f(x; y) + tan 45 f(x; y) tan 45 y x + y x = x + y x y (3):

53 Differential Equations 53 Set i. e. iii) Find the G. S. of (3) : y 0 = + y x y x = ( y x ) : homogeneous. u = y x, y = ux, y 0 = u + xu 0 + u u = u + xu0 ) x du dx = + u u + u2 u ) u + u 2du = dx (4): x Integrating (4), we obtain 2 tan ( y x ) ln(c2 (x 2 + y 2 )) = 0 : the desired isogonal trajectories. Homework: ). Find the family of isogonal trajectories that intersects the family of circles x 2 + y 2 = c 2 at angle 45.

54 Differential Equations 54 2). Find the family of isogonal trajectories that intersects the family of curves x + y = cx 2 at angle s. t. tan = 2:

55 Differential Equations First Order D. E.s in Polar Coordinate Figure. r 2 = x 2 + y 2 ; tan = y x : x = r cos y = r sin Let's consider r as a function of, i. e. let r = f(); then x = r cos = f() cos ) y = r sin = f() sin Now consider the slope of tangent line T f : tan = dy dx = dy d dx d = f 0 () sin + f() cos f 0 () cos f() sin dr r cos + d = sin r sin + dr d cos This is a formula for the slope of the tangent line to r = f() at

56 Differential Equations 56 point P (r; ) in polar coordinate system. Figure. Let us observe the angle ( ) measured from the radial line and tangent line: = + ; = ; ) tan = tan( ) = Use tan in the above. We nd Figure. tan = ( + tan2 )r ( + tan 2 ) dr d = r dr d tan tan + tan tan

57 Differential Equations 57 Now consider the isogonal trajectories in polar coordiante system: i. e. g = f + ; ) tan g = tan( f + ) = tan f + tan tan f tan ( r f r ) + tan f = 0 ( r f r ) tan : f 0 r g rg 0 = tan g = ( r f r ) + tan f 0 ( r f r ) tan : f 0 This is the corresponding D. E. of the isogonal trajectories of F (r; ; c) = 0: Ex. Find the orthogonal trajectories of where a : arbitrary constant. Solution: r = a( sin ) (); r = a( sin ); tan f = r r 0;

58 Differential Equations 58 where From () and (2) : tan f r 0 = a cos (2) r ) a = sin : dr d = ( r ) cos ; sin = r f r 0 f = r f( sin ) r f cos = sin cos i. e. Then ) tan g = ) r g dr g d = tan f = cos sin cos sin = r g ; dr g = sin r g cos d = sec d tan d: ) ln jr g j = ln j sec + tan j + ln j cos j + ln jcj = ln jc( + sin )j, r g = ~c( + sin ): r = c( + sin ) r 0 g

59 Differential Equations 59 is the desired equation which represents the orthogonal trajectories of r = a( sin ): Ex. Find the isogonal trajectories of r = 2a sin at angle ; where a : arbitrary constant. Thus Solution: tan f = r f 2a sin rf 0 = 2a cos = tan tan g = tan( f + ) tan + tan = tan tan = tan( + ) * r g dr g = tan g = tan( + ) d cos( + ) ) sin( + ) d = dr g r g ) ln jr g j = ln j sin( + )j + ln j~cj ) r g = c sin( + ) r = c sin( + ); where c: arbitrary constant is the desired equation of the isogonal

60 Differential Equations 60 trajectories of r = 2a sin : Homework.: () Find the equation of the orthogonal and isogonal trajectories of of r = a( cos ): = tan 2 (2) Find the equation of the orthogonal trajectories of r n = a n cos n; where a is an arbitrary constant and n 2 N:

61 Differential Equations 6 5 Linear Differential Equation of Higher Order 5. Linear Dependence and Linear Independence of Functions Def. Given f i 2 C n (I), i = ; 2; ; n. If a linear relation nx c i f i = 0 i= holds only for c i = 0; 8i & 8x 2 I, then f i ; i = ; 2; n are said "linearly independent" in I: Otherwise, f ;f 2 ; f n are said "linearly dependent" in I: Theorem 6 Given f i 2 C n (I), i = ; 2; ; n:8x 2 I. Then f ; f 2 ; f n are linearly indep. iff. pf. f ; f 2 ; : : : f n f 0 ;. f2 0 ;. : : :. fn 0. [n ] [n ] f ; f 2 ; f n [n ] nx c i f i = 0 () i= 6= 0

62 Differential Equations 62 where c i = 0; i = ; 2; 3; :::n: Then i. e. d dx (P n i= c if i ) = P n i= c ifi 0 = 0 (2) d 2 dx ( P n 2 i= c if i ) = P n i= c ifi 00 = 0 (3)... P n i= c [n ] if = 0 (n) i f f n... [n ] f f n [n ] 0 c. c n A =, A nn X n = 0 n : A nn is invertible, AX = 0 has only the trivial solution X = 0, det A 6= 0: # 0. 0 A

63 Differential Equations Denition and Properties of Linear D. E. of n th Order Def. s. t. P 0 (x)y [n] + P (x)y [n ] + + P n (x)y = f(x) () P i ; f 2 C 0 ; i = 0; ; n; P 0 (x) 6= 0: Then () is called a linear D. E. of n () can also be written as th order. y [n] + e P (x)y [n ] + + f P n (x)y = Q(x) (2) Consider a linear transformation T ( y + + n y n ) = nx i T (y i ) A linear operator L is also a linear transformation. We may dene nx L[y] = P i (x)y [n i] ; i=0 then () becomes L[y] = f(x) () 0. Def. L[y] = 0 is called the homogeneous D. E. of L[y] = f(x). Properties : (i) Let y i ; i = ; r be P. S. of L[y] = 0. Then y = P r i= c iy i is also a particular solution of L[y] = 0. i=

64 Differential Equations 64 Explanation : * L[y i ] = 0; 8i; rx L[y] = L[ c i y i ] = ) i= rx c i L[y i ] = 0 i= rx c i y i is a P. S. of L[y] = 0: # i= (ii) Let y i ; i = ; r be r linearly independent P. S.s of L[y] = 0 & ey be a P. S. of L[y] = f(x). Then P r i= c iy i + ey is a P. S. of L[y] = f(x). Explanation : L [ rx c i y i + ey] = L[ i= = rx c i y i ] + L[ey] i= rx c i L[y i ] + L[ey] = i= is a P. S. of L[y] = f(x):# Note: The n = f(x): rx ) c i y i + ey i= rx c i 0 + f(x) i= th order linear D. E. L [ y ]=0 always possesses

65 Differential Equations 65 n solutions that are L. I. Explanation : Since L [ y ]=0 is of order n; nx y = c i y i i= is the G. S. of L[y] = 0: And clearly, y ; y n are L. I. P. S.s of L[y] = 0. Properties : (i) Let y ; y n be n L. I. P. S.s of L[y] = 0. Then y = P n i= c iy i is the G. S. of L[y] = 0. (ii) Let y ; y n be n L. I. P. S. of L[y] = 0 and ^y be a P. S. of L[y] = f(x). Then nx c i y i + by is the G. S. of L[y] = f(x). Figure. i= Ex. y 00 y = x ()

66 Differential Equations 66 Solution: Let L[y] = y 00 y; and f(x) = x 2 + 2; where e x and e x are 2 P. S.s of L[y] = 0 & ^y = x 2 is a P. S. of L[y] = f(x). ) c e x + c 2 e x : G. S. of L[y] = 0; and the G. S. of L[y] = f(x) is c e x + c 2 e x + x 2 : # (iii) Let y ; y 2 be 2 P. S. of L[y] = f(x). pf. Then y y 2 is a P. S. of L[y] = 0. * L[y ] = f(x); L[y 2 ] = f(x); ) L[y y 2 ] = L[y ] L[y 2 ] = f(x) f(x); ) L[y y 2 ] = 0: i. e. y y 2 : P. S. of L[y] = 0. # (iv) Let y ; y n be n linearly independent P. S.s of an n order linear D. E. L[y] = 0. If w(y ; y n )(x 0 ) 6= 0; for some x 0 w(y ; y n )(x) 6= 0; 8x 2 I; where 2 I; then th

67 Differential Equations 67 and pf. y y 2 y n w(y ; y n ) y 0 y2 0 yn 0... [n ] [n ] y y 2 y n A = 0 y y 2 y n y 0. y2 0. yn 0. [n ] [n ] y y 2 y n [n ] [n ] d dx w(y ; y n ) = d dx det A = det A; C A : y 0 y2 0 y 0 y y 2 y n n = y 0 y2 0 yn 0 y 00 y2 00 yn y 00 y2 00 yn 00 [n ] [n ] [n ] y y 2 y... n [n ] [n ] y y 2 y n y y 2 y n + + y 0 y2 0 y 0 n... : y [n] y [n] 2 y [n] n [n ]

68 Differential Equations 68 and hence * L[y] = nx p i y [n i] = p 0 y [n] + i=0 ) y [n] = nx p i y [n i] ; p 0 d dx det A = p 0 = p p 0 i= nx P i y [n i] = 0; i= nx y y 2 y n p i y 0 y2 0 y 0 n i=... [n i] [n i] [n i] y y 2 y n y y 2 y n y 0 y2 0 y 0 n... = p det A p 0 [n ] [n ] [n ] y 2 y n y i. e. dw dx = p w ) dw p 0 w = p dx; p 0 ) ln w(x) ln w(x 0 ) = ) w(x) w(x 0 ) = exp( Z x Z x x 0 ( p p 0 )dx): x 0 ( p p 0 )dx

69 Differential Equations 69 Let Z x g(x) = ( p )dx; then w(x) = w(x 0 )e g(x) : x 0 p 0 * w(x 0 ) 6= 0 & e g(x) 6= 0; 8x 2 I; ) w(x) 6= 0; 8x 2 I: #

70 Differential Equations Linear D. E. of n-th Order with Constant Coefcients 5.3. D-Operator nx L[y] = a i y [n i] = f(x) () i=0 where a i : constants, i = 0; ; 2; n. () can also be written as nx L[y] = a i D n i y = f(x) () 0 i=0 where nx a i D n i = F (D): Hence i=0 () 0 ) F (D)y = f(x) (2): The polynomial F of D has the following properties: i) (ad r + bd s )y = (bd s + ad r )y :commutative of + ii) (ad r ) (bd s )y = (bd s ) (ad r )y :commutative of

71 Differential Equations 7 iii) [(ad r + bd s ) + cd t ]y = [ad r + (bd s + cd t )]y :associative of + iv) [(ad r bd s ) cd t ]y = [ad r (bd s cd t )]y :associative of v) [ad r (bd s + cd t )]y = [(ad r ) (bd s )]y +[(ad r ) (cd t )]y :distributive law. Formulas: (i) F (D)e ax = F (a)e ax pf. Note: nx * F (D)e ax = a i (a n i=0 i )e ax nx = e ax a i a n i = e ax F (a): i=0 D i e kx = k i e kx :

72 Differential Equations 72 Ex. Solution: (ii) pf. (D 5 3D 2 + 2)e 3x =? (D 5 3D 2 + 2)e 3x = ( )e 3x * e iax = F (D 2 ) X n=0 ( xn n! )(ia)n = ( )e 3x = 28e 3x : cos ax sin ax = F ( a2 ) cos ax sin ax : = + x x2 (ia) +! 2! (ia)2 + x3 3! (ia)3 + x 2 = ( 2! a2 + x4 x 3 4! a4 + ) + i(xa 3! a3 + x5 5! a5 + ) = cos ax + i sin ax; ) F (D 2 )e iax = F ((ia) 2 )e iax = F ( a 2 )(cos ax + i sin ax) = F (D 2 )(cos ax + i sin ax): #

73 Differential Equations 73 Ex. Solution: (iii) Pf. * (D 4 2D 2 + ) cos 2x =? ((D 2 ) 2 2D 2 + ) cos 2x = (( 4) 2 2( 4) + ) cos 2x = 25 cos 2x: # F (D 2 ) cosh ax sinh ax = F (a2 ) cosh ax sinh ax : cosh ax = 2 (eax + e ax ); sinh ax = 2 (eax e ax ); (iv) ) F (D 2 ) cosh ax sinh ax = F (a2 ) cosh ax sinh ax : F (D)(e ax (x)) = e ax F (D + a)(x)

74 Differential Equations 74 pf. D k (e ax (x)) = a k e ax (x) +ka k e ax 0 k (x) + a k 2 e ax 00 (x) 2 k + + e ax [k] (x) k kx k = e ax a k j [j] (x): (?) j From (?), we nd that Since we nd that j=0 D k (e ax (x)) = e ax kx j=0 k j a k j [j] (x) = e ax (D + a) k (x): () F (D) = F (D)(e ax (x)) = e ax nx a i D n i ; i=0 nx a i (D + a) n i=0 i (x) = e ax F (D + a)(x): #

75 Differential Equations 75 Ex. (D )(D + 2)(e x x 3 ) =? Solution: ( In fact, ( d2 dx 2 + d dx 2)(e x x 3 )) (v) * F (D) = (D )(D + 2) ) F (D)(e x x 3 ) = e x F (D + )x 3 = e x (D + )(D + + 2)x 3 = e x D(D + 3)x 3 = e x (6x + 9x 2 ): # (D a) r e ax (x) = e ax D r (x): In particular, (x) = x k ; k = 0; ; 2; 3; ; then we have the following conditions: (D a) r (e ax x k ) = (e ( ax D r x k ) 0; if r > k = e ax k(k ) (k r + )x k r ; if k r: i. e. Hence for we obtain (D a) r (e ax x k ) = 0; k = 0; ; 2; r (D a) r y = 0; () e ax ; xe ax ; x 2 e ax ; ; x r e ax

76 Differential Equations 76 being L. I., and y = C e ax + C 2 xe ax + + C r x r e ax :a G. S. of (), where C ; C 2 ; C 3 ; C r are arbitrary constants.

77 Differential Equations G. S. of a D. E. F (D)y = 0: Let F & G be two polynomials of operators, and let (x) be a solution of G(D)y = 0. Then (x) is also a solution of F (D)G(D)y = 0: (* F (D)G(D)y = F (D)(G(D)y) = F (D)0 = 0.) Ex. Note that e x is a P. S. of (D P. S. of Let (D + 2)(D )y = 0: )y = 0, then e x is also a Discussion: Consider (D a) r y = 0 has the G. S. y G = (C + C 2 x + + C r x r )e ax : F (D) = a 0 (D ) r (D k ) r k ; where r + r r k = n; and for i. e. (D ) r y = 0; y = (C + C 2 x + + C r x r )e x ; (D 2 ) r 2 y = 0; y = ( C + C 2 x + + C r2 x r 2 )e 2x ;.. (D k ) r k y = 0; y = (f C + f C 2 x + + f C rk x r k )e kx : (C + C 2 x + + C r x r )e x + +( f C + f C 2 x + + f C rk x r k )e kx is the G. S. of F (D)y = 0: #

78 Differential Equations 78 Ex. Solve y: Solution: i) (D + )y = 0 has G. S. (D ) 2 (D + )y = 0: y = C e x ; or y 0 + y = 0, a st order linear D. E. with solution Z x y = e x 0 e R u dt du + c ii) (D ) 2 y = 0 has G. S. So combine i) and ii), y = (C 2 + C 3 x)e x = ce x : y = C e x + (C 2 + C 3 x)e x : G. S. of y: # Ex. Solve y(x). Solution: i. e. y [4] y = 0: (D 4 )y = 0; F (D) = D 4 :

79 Differential Equations 79 Then F (D) = (D )(D + )(D 2 + ) ) (D )(D + )(D i)(d + i)y = 0: ) G: S: of y = C e x + C 2 e x + C 3 e ix + C 4 e ix : Since e ix = cos x + i sin x e ix = cos x i sin x, we have y = C e x + C 2 e x + f C 3 cos x + f C 4 sin x: Ex. (D 6 )y = 0: Solve for y: Solution: (D 6 ) = (D 3 )(D 3 + ) = (D )(D + )(D 2 + D + )(D 2 D + ): ) D 6 = 0 has roots Hence the G. S. ; p 3i 2 ; and p 3i : 2

80 Differential Equations 80 y = C e x + C 2 e x + C 3 e + p 3i 2 x + C 4 e p 3i p 3i 2 x +C 5 e + 2 x + C 6 e p 3i 2 x p p = C e x + C 2 e x + e x 2 (C cos( 2 x) + C0 4 sin( p p 2 x)) +e x 2 (C cos( 2 x) + C0 6 sin( 2 x)): # Note: Given The polynomial equation F (D)y = f(x) () F (u) = 0 is called the "auxillary equation" of ().

81 Differential Equations Particular Solution of F (D)y = f(x) : Inverse D Operator If we can nd a P. S. y p of F (D)y = f(x) and solve the homogeneous D. E. F (D)y = 0 to nd the G. S. y c of F (D)y = 0. Then is the G. S. of F (D)y = f(x). y c + y p Denitions i) Dene the P. S. of (A) by F (D) f(x). ii) We regard 2 P. S.s y & y 2 of (A) are equivalent if with F (D)y p = 0: explanation: y 2 y = y p F (D)y = f(x) = F (D)y 2 ) F (D)(y 2 y ) = 0: # iii) F (D) F (D) f(x) = F (D) f(x) =f(x); 8f 2 C : F (D)

82 Differential Equations 82 a (i. e.f (D) F (D) = :) iv) F (D) + b G(D) v) Propositions (By Def.) i. e. (ii) f(x) = a F (D) (G(D)f(x)) = (i) F (D) F (D) = F (D) = : F (D) F (D) f(x) + b G(D) f(x): F (D) G(D) f(x): pf. * f(x) is a P. S. of F (D)y = F (D)f(x); by Def., f(x) = F (D) F (D)f(x): F (D) = : # F (D)

83 Differential Equations 83 (iii) F (D) (af(x) + bg(x)) = a F (D) f(x) + b F (D) g(x): pf. is a P. S. of and is a P. S. of Let is a P. S. of F (D) f(x) F (D)y = f; F (D) g(x) F (D)y = g(x): y = F (D) f(x)& y 2 = F (D) g(x): ) F (D)(ay + by 2 ) = af (D)y + bf (D)y 2 = af(x) + bg(x): ) (af(x) + bg(x)) F (D) F (D)y = af(x) + bg(x);

84 Differential Equations 84 and is also a P. S. of i. e. e. g. ay + by 2 F (D)y = af(x) + bg(x): ay + by 2 = (af(x) + bg(x)) F (D) = a F (D) f(x) + b F (D) g(x): # (D 2 + )y = x + e x () : A P. S. of () can be obtained by (D 2 + )y = x & (D 2 + )y = e x ; and y = D 2 + x; y 2 = D 2 + ex : ) y 3 = y + y 2 is a P. S. of (). # (iv) F (D)G(D) f(x) = = F (D) G(D) G(D) f(x) F (D) f(x) :

85 Differential Equations 85 pf. Let i. e. y = G(D) f(x); y 2 = F (D) f(x): G(D)y = f(x); F (D)y 2 = f(x): Let y 3 = F (D)G(D) f(x); thenf (D)G(D)y 3 = f(x): Ex. ) F (D)G(D) F (D)G(D) f(x) = f(x), G(D)F (D) F (D)G(D) f(x) = f(x), G(D) F (D) F (D) G(D) f(x) = f(x) ) G(D) G(D) f(x) = f(x): # Solution: (D a) reax =?

86 Differential Equations 86 (i) (D a) r e ax is a P. S. of (D a) r y = e ax ; and (D a) reax = (D a) r D a eax : let * D a eax is a P. S. of (D a)y = e ax ; y = e ax u(x): ) y 0 = ae ax u + e ax u 0 = ay + e ax u 0 ) y 0 ay = e ax u 0 (x) = (D a)y i. e. u 0 (x) = ; u(x) = x + c (let c = 0.) (ii) Now (D a) reax = = ) D a eax = xe ax : # ) (D a) r (xeax (D a) r 2 D where (x) : P. S. of (D a)y = xe ax. a xeax = (D a) r 2(x);

87 Differential Equations 87 i. e. Again, let y = e ax u(x); y 0 = ae ax u(x) + e ax u 0 (x); y 0 ay = e ax u 0 (x): Now u 0 (x) = x; u(x) = x2 2, i. e. ) y = x2 2 eax = D a (xeax ) (D a) reax = (D a) r 2 x 2 2 eax : (iii) Hence we may do this again and again, and we obtain = x r (D a) reax D a (r )! eax = xr r! eax : Thus is a P. S. of (iv) Let (D (D a) reax = xr r! eax (D a) r y = e ax : # a) r y = 0, and y G being the G. S. of (D a) r y = 0; ) y G = (C + C 2 x + + C r x r )e ax :

88 Differential Equations 88 The G. S. of (D (v) If a) r y = e ax is y = y G + xr r! eax : with s. t. F (D) = a 0 (D ) r (D k ) r k r + r r k = n ) F (x) = X A iji : (x ik i ) j i j i r i F (D) = X A iji : (D ik i ) j i j i r i e. g. D 2 + D 2 e2x =? To solve the problem, consider F (D) = D 2 + D 2 = (D + 2)(D ): Then we have F (D) = (D + 2)(D ) = 3 D ; D + 2

89 Differential Equations 89 and hence F (D) e2x = 3D e2x 3D + 2 e2x : # pf. Claim that 0 F X i; ji A iji f(x) A = f(x); (D i ) j i i. e. (Note: F (D) F (D)f(x) = f(x): F (D) F (D):) For F (D)y = f(x); then the P. S. is F (D)f(x) = X f(x) A iji : (D i; j i ) j i i and from * = F (x)f (x) = F (x) X i; j i A iji (x i ) j i () F (D)y = f(x); sety = F (D) f(x): P. S. of (). Dene (N) F (x) F iji (x) = (x i ) j i = a 0 (x ) r (x i ) r i (x i+ ) r i+ (x k ) r k (x i ) r i j i

90 Differential Equations 90 Then (N) becomes = X i; j i A iji F (D) (D i ) j i = X i; j i A iji F iji (D): Consider the P. S. of (D i ) j iy = f (x) ; then f(x) f (D i ) j iji (x) (2): i By using the above notations, we nd that F (D) X i; j i A iji f(x) (D i ) j i = F (D) X i; j i A iji f iji (x) Therefore, X and so = X i; j i A iji F (D)f iji (x) = X i; j i A iji F iji (D i ) j i f iji = X i; j i A iji F iji f(x) = f(x): i; j i A iji (D i ) j i f(x) = F (D) f(x); 8f 2 C ; F (D) = X A iji : # (D i; j i ) j i i

91 Differential Equations 9 Ex. (D )(D + 2) e2x =? Solution: (D )(D + 2) e2x = 3D e2x 3D + 2 e2x : i) D e2x = y ; i. e. (D )y = e 2x : Let ) ) y = e 2x u(x) ) y 0 = 2y + e 2x u 0 u 0 e 2x + ue 2x = (D )y = e 2x u 0 + u = ; u = ) y = e 2x : ii) D + 2 e2x = y 2 ; i. e. (D + 2)y 2 = e 2x : Let y 2 = e 2x u(x); y 0 2 = 2y 2 + e 2x u 0 ) y y 2 = 4e 2x u(x) + e 2x u 0 (x) = e 2x

92 Differential Equations 92 ) iii) Hence u 0 (x) + 4u(x) = ; u = 4 ) y 2 = e2x 4 : y = (D )(D + 2) e2x = 3 e2x 3 e 2x 4 = e2x 4 : # Computational Formulas i) F (D) (k f(x)) = k F (D) f(x); k is a constant. pf. Let y be the P. S. of F (D)y = f(x), i. e. y = F (D) f(x) ) F (D)(ky ) = kf (D)y = kf(x) i. e. ky is a P. S. of F (D)y = kf, ) F (D) (kf(x)) = ky = k F (D) f(x):

93 Differential Equations 93 ii) F (D) eax = F (a) eax if F (a) 6= 0: pf. * F (a) 6= 0, we then have F (D)( F (a) eax ) = F (D) (F (D)eax ) = F (a) F (a)eax = e ax : i. e. F (a) eax is a P. S. of F (D)y = e ax. then iii) If pf. ) F (D) eax = F (a) eax : F (D) = (D a) r (D); F (D) eax = xr e ax ; (a) 6= 0: r!(a) e ax F (D) = (D a) r (D) eax = (D a) r( (D) eax )

94 Differential Equations 94 Ex. iv) pf. F (D 2 ) = (a) (D a) reax = (a) xr r! eax : (D ) 2 (D 3) ex = x2 e x 2!( 3) = x2 e x 4 : cos ax sin ax = F ( a 2 ) cos ax sin ax ; F ( a2 ) 6= 0: F (D 2 )( F ( a 2 ) eaix ) = = F ( a 2 ) F (D2 )e aix F ( a 2 ) F ( a2 )e aix = e aix ; i. e. F ( a 2 ) eaix is a P. S. of F (D 2 )y = e aix, ) F ( a 2 ) eaix = F (D 2 ) eaix :

95 Differential Equations 95 Ex. D 2 + sin 2x = = 3 sin 2x: sin 2x Ex. cos 3x: D Solution: Note that F (D 2 ) = D and F ( 3 2 ) = 0: Hence D cos 3x = Re D e3ix = Re[ D + 3i ( D 3i e3ix )] = Re[ D 3i ( D + 3i e3ix )] = Re D = Re 6i e3ix 3i i 6 ( D 3i e3ix ) i = Re[ 6 (xe3ix )] = Re( 6 x sin 3x i = x 6 sin 3x: x cos 3x) 6

96 Differential Equations 96 i. e. v) pf. F (D 2 ) F (D 2 ) F (a 2 ) cosh ax sinh ax = F (a 2 ) F (a 2 ) cosh ax sinh ax cosh ax sinh ax ; F (a2 ) 6= 0. = F (a 2 ) = F (a2 ) = F (a 2 ) cosh ax sinh ax ; cosh ax sinh ax is a P. S. of F (D2 )y = F (D 2 cosh ax ) sinh ax cosh ax sinh ax cosh ax sinh ax : ) F (D 2 ) cosh ax sinh ax = F (a 2 ) cosh ax sinh ax : Def. Let y c be a G. S. of F (D)y = 0 and let y p be a P. S. of F (D)y = f(x):then y G is a G. S. of F (D)y = f(x); (y G = y c + y p ), and we call y c the complementary function of y G. Ex. Solution: D 2 + D + 2 sin 2x =?

97 Differential Equations 97 i). D 2 + D + 2 sin 2x = (D2 + 2) D (D 2 + 2) + D sin 2x (D 2 + 2) D = ((D 2 + 2) D) sin 2x (D 2 + 2) 2 D2 = ((D 2 + 2) D) sin 2x ( ) 2 ( 2 2 ) = ((D 2 + 2) D)( 8 = (sin 2x + cos 2x): 4 sin 2x) ii). D 2 + D + 2 sin 2x = sin 2x D + 2 = sin 2x D 2 sin 2x = (D + 2) ( D 2 D + 2 ) = (D + 2)( sin 2x) D 2 4 = (D + 2) sin 2x 8 = (sin 2x + cos 2x): 4

98 Differential Equations 98 iii). D 2 + D + 2 sin 2x = Im( D 2 + D + 2 e2ix ) = Im( i e2ix ) = e2ix Im 2 i = 2 Imi + (cos 2x + i sin 2x) 2 = Im[(cos 2x sin 2x) 4 +i(sin 2x + cos 2x)] = (sin 2x + cos 2x): 4 Homework. Find cos 3x: D 3 + D 2 vi). F (D)(e ax (x)) = e ax F (D + a)(x): pf. Consider the P. S. of being y p. In particular, set F (D)y = e ax (x) y p = e ax (x):

99 Differential Equations 99 Plug y p into F (D)y = e ax (x), we nd F (D)(e ax (x)) = e ax F (D + a) (x) = e ax (x): ) F (D + a) (x) = (x) Then (x) is a P. S. of F (D + a)y = (x); i. e. So Ex. (x) = Solution: We have solved F (D + a) (x): y p = F (D) (eax (x)) = e ax (x) = e ax ( F (D + a) (x)): (D a) reax =? (D a) r e ax previously as xr r! eax. Now

100 Differential Equations 00 consider the following: = (D a) reax (D a) reax = e ax D r = e ax xr r! : * D is a P. S. of D r y =, r Z Z ) y = {z } r times (without arbitrary constant.) i. e. D = xr r r! Then Homework. Find dx = xr r! 3 cos 2x: D 4 6 vii) Let f(x) be a polynomial of degree. For F (x) = a 0 + a x + + a r x r + x+ (x) : F (x) F (D)f(x) = (a 0 + a D + + a D )f(x);

101 Differential Equations 0 and is a P. S. of F (D)y = f(x): pf. (a 0 + a D + + a D )f(x) * F (D) = a 0 + a D + + a r D r + D+ (D) F (D) and so Again, ) = F (x) F (x) = F (x)(a 0 + a x + + a x ) + x + (x) I = F (D) F (D) = F (D)(a 0 + a D + + a D ) + D + (D); f(x) = (F (D)F (D))f(x) = F (D)(a 0 + a D + + a D )f(x) +(D)D + f(x): * D + f(x) = 0 ) f(x) = F (D)(a 0 + a D + + a D )f(x); i. e. (a 0 + a D + + a D )f(x)

102 Differential Equations 02 is a P. S. of F (D)y = f(x), F (D) f(x) = (a 0 + a D + + a r D r )f(x): Def. f(x) = O(g(x)) if lim x!c f(x) g(x) and c 2 R [ fg: (Big-O.) Def. f(x) = o(g(x)) if lim x!c and c 2 R [ fg: (Little-o.) Ex. = L; jlj < f(x) g(x) = 0; (D ) 2x2 e 2x =? Solution: e 2x = e 2x (D ) 2x2 (D + 2 ) 2x2 = e 2x : (D + ) 2x2

103 Differential Equations 03 * F (x) = 2 (x + ) = 2 0 = 2x + 3x 2 + O(x 3 ) = ( 2x + 3x 2 ) + x3 (x) (x + ) 2; x x + ) ) F (D) x2 = (D + ) 2x2 = ( 2D + 3D 2 )x 2 + (D) x 2 ) (D + ) 2(D3 = ( 2D + 3D 2 )x 2 = x 2 4x + 6: (D ) 2(x2 e 2x ) = e 2x (x 2 4x + 6): Ex. Find the G. S. of D 2 (D + ) 2 y = x 2 (): Solution: Let y c be the G. S. of D 2 (D + ) 2 y = 0 ) y c = C + C 2 x + (C 3 + C 4 x)e x : Let y p be a P. S. of D 2 (D + ) 2 y = x 2, i. e. y p = x 2 D 2 (D + ) 2;

104 Differential Equations 04 and = D 2 (D + ) 2x2 D 2( ) (D + ) 2x2 = D 2f[( 2 0 )D0 + ( = D 2( 2D + 3D2 )x 2 2 )D + ( 2 2 )D2 ]x 2 g and = D 2(x2 4x + 6) = D (x3 3 ) y p = x4 2 2x 2 + 6x) = x x3 + 3x 2 ; 2 3 x3 + 3x 2 : Ex. Please solve the y = y(x). Solution: y G = y c + y p = x x3 + 3x 2 +(C 3 + C 4 x)e x + C 2 x + C : D(D 2 + )y = sin x + e x () D(D 2 + )y c = 0 ) y c = C + C 2 cos x + C 3 sin x:

105 Differential Equations 05 Then Let's nd Let Then * ) y p = sin x + ex D(D 2 + ) : (af(x) + bg(x)) = a F (D) F (D) f(x) + D(D 2 + ) (sin x + sin x ex ) = D(D 2 + ) + y p = D(D 2 + ) sin x; y p 2 = y p2 = ( 2 + 2) ex = 2 ex ; b F (D) g(x); e x D(D 2 + ) : D(D 2 + ) ex : y p = Im D(D 2 + ) eix = Im( D D i e ix D + i ) = Im 2i ( D e ix D i ) = Im i 2 ( D = 2 Im( D i eix ) = 2 Im(xeix ) = x 2 Im(cos x + i sin x) = x sin x: 2 i eix i ) ) y p = y p + y p2 = 2 (ex x sin x);

106 Differential Equations 06 and y G = y c + y p = C + C 2 cos x + C 3 sin x + 2 (ex x sin x): Note: The formulas for the inverse D applicable for D. E.s of F (D)y = f(x) operator are only with f(x) being e ax ; sin ax; cos ax; polynomial functions or their product. Homework.:. Find the G. S. of 2. Solve the G. S. of D(D ) 2 y = e x cos x + x 2 : (D 2 )y = x 2 e x + x sin x:

107 Differential Equations Solutions of Linear D. E. by Variation of Parameters Let and L[y] = f(x) () L[y] P 0 y [n] + + P n y; where P i :functions of x; i = 0; ; ; n: Let y c be the G. S. of then y c = L[y] = 0 (2); nx C i y i (3); i= where C i are arbitrary constants, i = ; 2; ; n and y i are L. I. P. S. of L[y] = 0; i. e. W (y ; ; y n ) 6= 0, or y y 2 y n y 0 y2 0 y 0 n.... 6= 0: [n ] [n ] [n ] y y 2 y n Now assume y = nx C i (x)y i (4) i= be the G. S. of (), where C i (x) are functions of x; i =

108 Differential Equations 08 ; 2; ; n. Then Set again, set Set y 0 = y 00 = nx C i (x)yi 0 + i= nx Ci(x)y 0 i ; i= nx Ci(x)y 0 i = 0 (5) i= nx i= C i (x)y 00 i + nx Ci(x)y 0 i; 0 i= nx Ci(x)y 0 i 0 = 0 (6) i= y [n ] = y [n] = nx i=. nx i= nx i= [n ] C i (x)y i + nx i= Ci(x)y 0 [n 2] i = 0 (n + 3) C i (x)y [n] i + nx i= Ci(x)y 0 [n 2] i ; Ci(x)y 0 [n ] i (n + 4)

109 Differential Equations 09 Substitute y; y 0 ; y [n] into (), then nx [n j] L[y] = P j y = = j=0 nx P j ( j=0 +P 0 ( nx i= nx i= nx C i (x)( i= +P 0 ( = f(x): nx i= [n j] C i (x)y i ) Ci(x)y 0 [n ] i ) nx j=0 [n j] P j y j ) Ci(x)y 0 [n ] i ) ) nx i= * L[y i ] = 0; 8i Ci(x)y 0 [n ] i = f(x) P 0 (n + 5)

110 Differential Equations 0 ) We have n equations: 8 C(x)y Cn(x)y 0 n = 0 where i. e. >< >: C 0 (x)y C 0 n(x)y 0 n = C(x)y 0 [n 2] + + Cn(x)y 0 [n 2] n = 0 [n ] C(x)y Cn(x)y 0 A nn = ) A nn X n = Y n ; 0 [n ] n y y 2 y n y 0 y2 0 yn 0... [n ] [n ] y 2 y n y [n ] = f(x) P 0 : C A ; X n = (C 0 (x); C 0 2(x); ; C 0 n(x)) T ; Y n = (0; 0; ; f(x) P 0 ) T : W (y ; ; y n )(x) 6= 0; 8x; or we may say that A is invertible. Hence A exists, X = A Y: Let = det A;

111 Differential Equations i = y 0 y n y yn 0. [n ] f(x) y P 0 y n (i th column) " [n ] Ci(x) 0 = i ; i = ; 2; n: Z x i ) C i (x) = dx + k i; where k i :arbitrary constants. nx ) y = C i (x)y i = i= nx Z x i ( dx)y i + i= nx k i y i : Since y = y c + y p : a G. S. of L[y] = f(x), and y c is known. Hence we set k i = 0; 8i: Then nx Z x i y p = ( dx)y i : a P. S. of L[y] = f(x): i= i=

112 Differential Equations 2 Ex. Please solve y(x). Set : P. S. of Then and (D 2 + )y = sec x (): solution Let y c be the G. S. of (D 2 + )y = 0; ) y c = C cos x + C 2 sin x y p = C (x) cos x + C 2 (x) sin x (D 2 + )y = sec x: = W (y ; y 2 )(x) = y ; y 2 y; 0 y2 0 = cos x; sin x sin x; cos x ; = 0; sin x sec x; cos x ; 2 = cos x; 0 sin x; sec x ; (y ; y 2 )(x) = cos 2 x + sin 2 x = :

113 Differential Equations 3 ) C (x) = Z x dx = Z x tan xdx = ln j cos xj; and C 2 (x) = Z x 2 dx = x: ) y p = ln j cos xj cos x + x sin x; Homework. y = y c + y p = (C + ln j cos xj) cos x + (x + C 2 ) sin x: xy 00 (x + )y 0 + y = x 2 () Find the G. S. of () by variation of parameters.

114 Differential Equations Cauchy-Euler Linear D. E. Def. Linear D. E. of the form nx (ax + b) n r r D n r y = f(x) () r=0 is called Euler Linear D. E. Def. When a=,b=0,then () is called Cauchy Linear D. E. i: e: nx r x n r D n r y = f(x): r=0 Note.a; b and r are constants, r = 0; ; 2; n: i. e. Discussion: In (), let ax + b = e u ; x = eu a By implicit differentiation, a = e udu dx ) du dx = ae u = b : a ax + b ;

115 Differential Equations 5 and dy dx = dy du du dx ) dy dx = (Chain Rule) a ax + b dy du ()0 ) (ax + b) dy dx = ady du (2): Differentiate () 0 w.r.t. x; Dene d 2 y dx = d 2 dx ( a ax + b dy du ) = a 2 y (ax + b) 2(d2 du 2 Assume that D d dx & D d du (2) ) (ax + b) dy dx = ady du ; (3) ) (ax + b) 2d2 y dx 2 = a2 ( d2 y du 2 dy du ) (3): dy du ) (3)0 ; (3) 0 ) (ax + b) 2 D 2 y = a 2 D(D )y: (ax + b) k D k y = a k D(D ) (D k + )y holds, we claim that (ax + b) k+ D k+ y = a k+ D(D ) (D k)y

First-Order ODE: Separable Equations, Exact Equations and Integrating Factor

First-Order ODE: Separable Equations, Exact Equations and Integrating Factor First-Order ODE: Separable Equations, Exact Equations and Integrating Factor Department of Mathematics IIT Guwahati REMARK: In the last theorem of the previous lecture, you can change the open interval

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordinary Differential Equations (MA102 Mathematics II) Shyamashree Upadhyay IIT Guwahati Shyamashree Upadhyay ( IIT Guwahati ) Ordinary Differential Equations 1 / 25 First order ODE s We will now discuss

More information

Department of Mathematics. MA 108 Ordinary Differential Equations

Department of Mathematics. MA 108 Ordinary Differential Equations Department of Mathematics Indian Institute of Technology, Bombay Powai, Mumbai 476, INDIA. MA 8 Ordinary Differential Equations Autumn 23 Instructor Santanu Dey Name : Roll No : Syllabus and Course Outline

More information

APPLIED MATHEMATICS. Part 1: Ordinary Differential Equations. Wu-ting Tsai

APPLIED MATHEMATICS. Part 1: Ordinary Differential Equations. Wu-ting Tsai APPLIED MATHEMATICS Part 1: Ordinary Differential Equations Contents 1 First Order Differential Equations 3 1.1 Basic Concepts and Ideas................... 4 1.2 Separable Differential Equations................

More information

Lecture Notes on. Differential Equations. Emre Sermutlu

Lecture Notes on. Differential Equations. Emre Sermutlu Lecture Notes on Differential Equations Emre Sermutlu ISBN: Copyright Notice: To my wife Nurten and my daughters İlayda and Alara Contents Preface ix 1 First Order ODE 1 1.1 Definitions.............................

More information

2.2 Separable Equations

2.2 Separable Equations 2.2 Separable Equations Definition A first-order differential equation that can be written in the form Is said to be separable. Note: the variables of a separable equation can be written as Examples Solve

More information

Linear DifferentiaL Equation

Linear DifferentiaL Equation Linear DifferentiaL Equation Massoud Malek The set F of all complex-valued functions is known to be a vector space of infinite dimension. Solutions to any linear differential equations, form a subspace

More information

Ordinary Differential Equations (ODEs)

Ordinary Differential Equations (ODEs) c01.tex 8/10/2010 22: 55 Page 1 PART A Ordinary Differential Equations (ODEs) Chap. 1 First-Order ODEs Sec. 1.1 Basic Concepts. Modeling To get a good start into this chapter and this section, quickly

More information

2 Linear Differential Equations General Theory Linear Equations with Constant Coefficients Operator Methods...

2 Linear Differential Equations General Theory Linear Equations with Constant Coefficients Operator Methods... MA322 Ordinary Differential Equations Wong Yan Loi 2 Contents First Order Differential Equations 5 Introduction 5 2 Exact Equations, Integrating Factors 8 3 First Order Linear Equations 4 First Order Implicit

More information

First Order Differential Equations

First Order Differential Equations Chapter 2 First Order Differential Equations 2.1 9 10 CHAPTER 2. FIRST ORDER DIFFERENTIAL EQUATIONS 2.2 Separable Equations A first order differential equation = f(x, y) is called separable if f(x, y)

More information

ORDINARY DIFFERENTIAL EQUATIONS

ORDINARY DIFFERENTIAL EQUATIONS ORDINARY DIFFERENTIAL EQUATIONS Basic concepts: Find y(x) where x is the independent and y the dependent varible, based on an equation involving x, y(x), y 0 (x),...e.g.: y 00 (x) = 1+y(x) y0 (x) 1+x or,

More information

First Order Differential Equations

First Order Differential Equations Chapter 2 First Order Differential Equations Introduction Any first order differential equation can be written as F (x, y, y )=0 by moving all nonzero terms to the left hand side of the equation. Of course,

More information

PUTNAM PROBLEMS DIFFERENTIAL EQUATIONS. First Order Equations. p(x)dx)) = q(x) exp(

PUTNAM PROBLEMS DIFFERENTIAL EQUATIONS. First Order Equations. p(x)dx)) = q(x) exp( PUTNAM PROBLEMS DIFFERENTIAL EQUATIONS First Order Equations 1. Linear y + p(x)y = q(x) Muliply through by the integrating factor exp( p(x)) to obtain (y exp( p(x))) = q(x) exp( p(x)). 2. Separation of

More information

2. Second-order Linear Ordinary Differential Equations

2. Second-order Linear Ordinary Differential Equations Advanced Engineering Mathematics 2. Second-order Linear ODEs 1 2. Second-order Linear Ordinary Differential Equations 2.1 Homogeneous linear ODEs 2.2 Homogeneous linear ODEs with constant coefficients

More information

M343 Homework 3 Enrique Areyan May 17, 2013

M343 Homework 3 Enrique Areyan May 17, 2013 M343 Homework 3 Enrique Areyan May 17, 013 Section.6 3. Consider the equation: (3x xy + )dx + (6y x + 3)dy = 0. Let M(x, y) = 3x xy + and N(x, y) = 6y x + 3. Since: y = x = N We can conclude that this

More information

Diff. Eq. App.( ) Midterm 1 Solutions

Diff. Eq. App.( ) Midterm 1 Solutions Diff. Eq. App.(110.302) Midterm 1 Solutions Johns Hopkins University February 28, 2011 Problem 1.[3 15 = 45 points] Solve the following differential equations. (Hint: Identify the types of the equations

More information

S. Ghorai 1. Lecture IV Linear equations, Bernoulli equations, Orthogonal trajectories, Oblique trajectories. (p(x)y r(x))dx + dy = 0.

S. Ghorai 1. Lecture IV Linear equations, Bernoulli equations, Orthogonal trajectories, Oblique trajectories. (p(x)y r(x))dx + dy = 0. S. Ghorai 1 Lecture IV Linear equations, Bernoulli equations, Orthogonal trajectories, Oblique trajectories 1 Linear equations A first order linear equations is of the form This can be written as Here

More information

4 Differential Equations

4 Differential Equations Advanced Calculus Chapter 4 Differential Equations 65 4 Differential Equations 4.1 Terminology Let U R n, and let y : U R. A differential equation in y is an equation involving y and its (partial) derivatives.

More information

Math 4B Notes. Written by Victoria Kala SH 6432u Office Hours: T 12:45 1:45pm Last updated 7/24/2016

Math 4B Notes. Written by Victoria Kala SH 6432u Office Hours: T 12:45 1:45pm Last updated 7/24/2016 Math 4B Notes Written by Victoria Kala vtkala@math.ucsb.edu SH 6432u Office Hours: T 2:45 :45pm Last updated 7/24/206 Classification of Differential Equations The order of a differential equation is the

More information

First order differential equations

First order differential equations First order differential equations Samy Tindel Purdue University Differential equations and linear algebra - MA 262 Taken from Differential equations and linear algebra by Goode and Annin Samy T. First

More information

Indefinite Integration

Indefinite Integration Indefinite Integration 1 An antiderivative of a function y = f(x) defined on some interval (a, b) is called any function F(x) whose derivative at any point of this interval is equal to f(x): F'(x) = f(x)

More information

Consider an ideal pendulum as shown below. l θ is the angular acceleration θ is the angular velocity

Consider an ideal pendulum as shown below. l θ is the angular acceleration θ is the angular velocity 1 Second Order Ordinary Differential Equations 1.1 The harmonic oscillator Consider an ideal pendulum as shown below. θ l Fr mg l θ is the angular acceleration θ is the angular velocity A point mass m

More information

1 Review of di erential calculus

1 Review of di erential calculus Review of di erential calculus This chapter presents the main elements of di erential calculus needed in probability theory. Often, students taking a course on probability theory have problems with concepts

More information

ODE Homework Solutions of Linear Homogeneous Equations; the Wronskian

ODE Homework Solutions of Linear Homogeneous Equations; the Wronskian ODE Homework 3 3.. Solutions of Linear Homogeneous Equations; the Wronskian 1. Verify that the functions y 1 (t = e t and y (t = te t are solutions of the differential equation y y + y = 0 Do they constitute

More information

Higher-order ordinary differential equations

Higher-order ordinary differential equations Higher-order ordinary differential equations 1 A linear ODE of general order n has the form a n (x) dn y dx n +a n 1(x) dn 1 y dx n 1 + +a 1(x) dy dx +a 0(x)y = f(x). If f(x) = 0 then the equation is called

More information

March Algebra 2 Question 1. March Algebra 2 Question 1

March Algebra 2 Question 1. March Algebra 2 Question 1 March Algebra 2 Question 1 If the statement is always true for the domain, assign that part a 3. If it is sometimes true, assign it a 2. If it is never true, assign it a 1. Your answer for this question

More information

dx n a 1(x) dy

dx n a 1(x) dy HIGHER ORDER DIFFERENTIAL EQUATIONS Theory of linear equations Initial-value and boundary-value problem nth-order initial value problem is Solve: a n (x) dn y dx n + a n 1(x) dn 1 y dx n 1 +... + a 1(x)

More information

Series Solution of Linear Ordinary Differential Equations

Series Solution of Linear Ordinary Differential Equations Series Solution of Linear Ordinary Differential Equations Department of Mathematics IIT Guwahati Aim: To study methods for determining series expansions for solutions to linear ODE with variable coefficients.

More information

Section 3.4. Second Order Nonhomogeneous. The corresponding homogeneous equation. is called the reduced equation of (N).

Section 3.4. Second Order Nonhomogeneous. The corresponding homogeneous equation. is called the reduced equation of (N). Section 3.4. Second Order Nonhomogeneous Equations y + p(x)y + q(x)y = f(x) (N) The corresponding homogeneous equation y + p(x)y + q(x)y = 0 (H) is called the reduced equation of (N). 1 General Results

More information

TAM3B DIFFERENTIAL EQUATIONS Unit : I to V

TAM3B DIFFERENTIAL EQUATIONS Unit : I to V TAM3B DIFFERENTIAL EQUATIONS Unit : I to V Unit I -Syllabus Homogeneous Functions and examples Homogeneous Differential Equations Exact Equations First Order Linear Differential Equations Reduction of

More information

Series Solutions of Linear ODEs

Series Solutions of Linear ODEs Chapter 2 Series Solutions of Linear ODEs This Chapter is concerned with solutions of linear Ordinary Differential Equations (ODE). We will start by reviewing some basic concepts and solution methods for

More information

Mathematics Notes for Class 12 chapter 7. Integrals

Mathematics Notes for Class 12 chapter 7. Integrals 1 P a g e Mathematics Notes for Class 12 chapter 7. Integrals Let f(x) be a function. Then, the collection of all its primitives is called the indefinite integral of f(x) and is denoted by f(x)dx. Integration

More information

Differential Equations Class Notes

Differential Equations Class Notes Differential Equations Class Notes Dan Wysocki Spring 213 Contents 1 Introduction 2 2 Classification of Differential Equations 6 2.1 Linear vs. Non-Linear.................................. 7 2.2 Seperable

More information

MATH 307: Problem Set #3 Solutions

MATH 307: Problem Set #3 Solutions : Problem Set #3 Solutions Due on: May 3, 2015 Problem 1 Autonomous Equations Recall that an equilibrium solution of an autonomous equation is called stable if solutions lying on both sides of it tend

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS Chapter 1 Introduction and Basic Terminology Most of the phenomena studied in the sciences and engineering involve processes that change with time. For example, it is well known

More information

6.1 Matrices. Definition: A Matrix A is a rectangular array of the form. A 11 A 12 A 1n A 21. A 2n. A m1 A m2 A mn A 22.

6.1 Matrices. Definition: A Matrix A is a rectangular array of the form. A 11 A 12 A 1n A 21. A 2n. A m1 A m2 A mn A 22. 61 Matrices Definition: A Matrix A is a rectangular array of the form A 11 A 12 A 1n A 21 A 22 A 2n A m1 A m2 A mn The size of A is m n, where m is the number of rows and n is the number of columns The

More information

ODE classification. February 7, Nasser M. Abbasi. compiled on Wednesday February 07, 2018 at 11:18 PM

ODE classification. February 7, Nasser M. Abbasi. compiled on Wednesday February 07, 2018 at 11:18 PM ODE classification Nasser M. Abbasi February 7, 2018 compiled on Wednesday February 07, 2018 at 11:18 PM 1 2 first order b(x)y + c(x)y = f(x) Integrating factor or separable (see detailed flow chart for

More information

CALCULUS JIA-MING (FRANK) LIOU

CALCULUS JIA-MING (FRANK) LIOU CALCULUS JIA-MING (FRANK) LIOU Abstract. Contents. Power Series.. Polynomials and Formal Power Series.2. Radius of Convergence 2.3. Derivative and Antiderivative of Power Series 4.4. Power Series Expansion

More information

(1 + 2y)y = x. ( x. The right-hand side is a standard integral, so in the end we have the implicit solution. y(x) + y 2 (x) = x2 2 +C.

(1 + 2y)y = x. ( x. The right-hand side is a standard integral, so in the end we have the implicit solution. y(x) + y 2 (x) = x2 2 +C. Midterm 1 33B-1 015 October 1 Find the exact solution of the initial value problem. Indicate the interval of existence. y = x, y( 1) = 0. 1 + y Solution. We observe that the equation is separable, and

More information

Chapter 3. Reading assignment: In this chapter we will cover Sections dx 1 + a 0(x)y(x) = g(x). (1)

Chapter 3. Reading assignment: In this chapter we will cover Sections dx 1 + a 0(x)y(x) = g(x). (1) Chapter 3 3 Introduction Reading assignment: In this chapter we will cover Sections 3.1 3.6. 3.1 Theory of Linear Equations Recall that an nth order Linear ODE is an equation that can be written in the

More information

Lecture Notes in Mathematics. A First Course in Quasi-Linear Partial Differential Equations for Physical Sciences and Engineering Solution Manual

Lecture Notes in Mathematics. A First Course in Quasi-Linear Partial Differential Equations for Physical Sciences and Engineering Solution Manual Lecture Notes in Mathematics A First Course in Quasi-Linear Partial Differential Equations for Physical Sciences and Engineering Solution Manual Marcel B. Finan Arkansas Tech University c All Rights Reserved

More information

ALGEBRAIC GEOMETRY HOMEWORK 3

ALGEBRAIC GEOMETRY HOMEWORK 3 ALGEBRAIC GEOMETRY HOMEWORK 3 (1) Consider the curve Y 2 = X 2 (X + 1). (a) Sketch the curve. (b) Determine the singular point P on C. (c) For all lines through P, determine the intersection multiplicity

More information

Math 2a Prac Lectures on Differential Equations

Math 2a Prac Lectures on Differential Equations Math 2a Prac Lectures on Differential Equations Prof. Dinakar Ramakrishnan 272 Sloan, 253-37 Caltech Office Hours: Fridays 4 5 PM Based on notes taken in class by Stephanie Laga, with a few added comments

More information

Section 3.4. Second Order Nonhomogeneous. The corresponding homogeneous equation

Section 3.4. Second Order Nonhomogeneous. The corresponding homogeneous equation Section 3.4. Second Order Nonhomogeneous Equations y + p(x)y + q(x)y = f(x) (N) The corresponding homogeneous equation y + p(x)y + q(x)y = 0 (H) is called the reduced equation of (N). 1 General Results

More information

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

DRAFT - Math 101 Lecture Note - Dr. Said Algarni 2 Limits 2.1 The Tangent Problems The word tangent is derived from the Latin word tangens, which means touching. A tangent line to a curve is a line that touches the curve and a secant line is a line that

More information

Mathematics (Course B) Lent Term 2005 Examples Sheet 2

Mathematics (Course B) Lent Term 2005 Examples Sheet 2 N12d Natural Sciences, Part IA Dr M. G. Worster Mathematics (Course B) Lent Term 2005 Examples Sheet 2 Please communicate any errors in this sheet to Dr Worster at M.G.Worster@damtp.cam.ac.uk. Note that

More information

17.2 Nonhomogeneous Linear Equations. 27 September 2007

17.2 Nonhomogeneous Linear Equations. 27 September 2007 17.2 Nonhomogeneous Linear Equations 27 September 2007 Nonhomogeneous Linear Equations The differential equation to be studied is of the form ay (x) + by (x) + cy(x) = G(x) (1) where a 0, b, c are given

More information

3 Applications of partial differentiation

3 Applications of partial differentiation Advanced Calculus Chapter 3 Applications of partial differentiation 37 3 Applications of partial differentiation 3.1 Stationary points Higher derivatives Let U R 2 and f : U R. The partial derivatives

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordinary Differential Equations Arvind Saibaba arvindks@stanford.edu Institute for Computational and Mathematical Engineering Stanford University September 16, 2010 Lorenz Attractor dx dt dy dt dz dt =

More information

Module Two: Differential Calculus(continued) synopsis of results and problems (student copy)

Module Two: Differential Calculus(continued) synopsis of results and problems (student copy) Module Two: Differential Calculus(continued) synopsis of results and problems (student copy) Srikanth K S 1 Syllabus Taylor s and Maclaurin s theorems for function of one variable(statement only)- problems.

More information

Solutions to Section 1.1

Solutions to Section 1.1 Solutions to Section True-False Review: FALSE A derivative must involve some derivative of the function y f(x), not necessarily the first derivative TRUE The initial conditions accompanying a differential

More information

Material for review. By Lei. May, 2011

Material for review. By Lei. May, 2011 Material for review. By Lei. May, 20 You shouldn t only use this to do the review. Read your book and do the example problems. Do the problems in Midterms and homework once again to have a review. Some

More information

Math Reading assignment for Chapter 1: Study Sections 1.1 and 1.2.

Math Reading assignment for Chapter 1: Study Sections 1.1 and 1.2. Math 3350 1 Chapter 1 Reading assignment for Chapter 1: Study Sections 1.1 and 1.2. 1.1 Material for Section 1.1 An Ordinary Differential Equation (ODE) is a relation between an independent variable x

More information

LECTURE 4-1 INTRODUCTION TO ORDINARY DIFFERENTIAL EQUATIONS

LECTURE 4-1 INTRODUCTION TO ORDINARY DIFFERENTIAL EQUATIONS 130 LECTURE 4-1 INTRODUCTION TO ORDINARY DIFFERENTIAL EQUATIONS DIFFERENTIAL EQUATIONS: A differential equation (DE) is an equation involving an unknown function and one or more of its derivatives. A differential

More information

1.4 Techniques of Integration

1.4 Techniques of Integration .4 Techniques of Integration Recall the following strategy for evaluating definite integrals, which arose from the Fundamental Theorem of Calculus (see Section.3). To calculate b a f(x) dx. Find a function

More information

Math Applied Differential Equations

Math Applied Differential Equations Math 256 - Applied Differential Equations Notes Basic Definitions and Concepts A differential equation is an equation that involves one or more of the derivatives (first derivative, second derivative,

More information

Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) a n z n. n=0

Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) a n z n. n=0 Lecture 22 Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) Recall a few facts about power series: a n z n This series in z is centered at z 0. Here z can

More information

Exam Basics. midterm. 1 There will be 9 questions. 2 The first 3 are on pre-midterm material. 3 The next 1 is a mix of old and new material.

Exam Basics. midterm. 1 There will be 9 questions. 2 The first 3 are on pre-midterm material. 3 The next 1 is a mix of old and new material. Exam Basics 1 There will be 9 questions. 2 The first 3 are on pre-midterm material. 3 The next 1 is a mix of old and new material. 4 The last 5 questions will be on new material since the midterm. 5 60

More information

6 Second Order Linear Differential Equations

6 Second Order Linear Differential Equations 6 Second Order Linear Differential Equations A differential equation for an unknown function y = f(x) that depends on a variable x is any equation that ties together functions of x with y and its derivatives.

More information

REFERENCE: CROFT & DAVISON CHAPTER 20 BLOCKS 1-3

REFERENCE: CROFT & DAVISON CHAPTER 20 BLOCKS 1-3 IV ORDINARY DIFFERENTIAL EQUATIONS REFERENCE: CROFT & DAVISON CHAPTER 0 BLOCKS 1-3 INTRODUCTION AND TERMINOLOGY INTRODUCTION A differential equation (d.e.) e) is an equation involving an unknown function

More information

PRELIMINARY THEORY LINEAR EQUATIONS

PRELIMINARY THEORY LINEAR EQUATIONS 4.1 PRELIMINARY THEORY LINEAR EQUATIONS 117 4.1 PRELIMINARY THEORY LINEAR EQUATIONS REVIEW MATERIAL Reread the Remarks at the end of Section 1.1 Section 2.3 (especially page 57) INTRODUCTION In Chapter

More information

Section 3.4. Second Order Nonhomogeneous. The corresponding homogeneous equation. is called the reduced equation of (N).

Section 3.4. Second Order Nonhomogeneous. The corresponding homogeneous equation. is called the reduced equation of (N). Section 3.4. Second Order Nonhomogeneous Equations y + p(x)y + q(x)y = f(x) (N) The corresponding homogeneous equation y + p(x)y + q(x)y = 0 (H) is called the reduced equation of (N). 1 General Results

More information

Lecture Notes on Partial Dierential Equations (PDE)/ MaSc 221+MaSc 225

Lecture Notes on Partial Dierential Equations (PDE)/ MaSc 221+MaSc 225 Lecture Notes on Partial Dierential Equations (PDE)/ MaSc 221+MaSc 225 Dr. Asmaa Al Themairi Assistant Professor a a Department of Mathematical sciences, University of Princess Nourah bint Abdulrahman,

More information

Department of Mathematics, K.T.H.M. College, Nashik F.Y.B.Sc. Calculus Practical (Academic Year )

Department of Mathematics, K.T.H.M. College, Nashik F.Y.B.Sc. Calculus Practical (Academic Year ) F.Y.B.Sc. Calculus Practical (Academic Year 06-7) Practical : Graps of Elementary Functions. a) Grap of y = f(x) mirror image of Grap of y = f(x) about X axis b) Grap of y = f( x) mirror image of Grap

More information

Math 250B Final Exam Review Session Spring 2015 SOLUTIONS

Math 250B Final Exam Review Session Spring 2015 SOLUTIONS Math 5B Final Exam Review Session Spring 5 SOLUTIONS Problem Solve x x + y + 54te 3t and y x + 4y + 9e 3t λ SOLUTION: We have det(a λi) if and only if if and 4 λ only if λ 3λ This means that the eigenvalues

More information

Handbook of Ordinary Differential Equations

Handbook of Ordinary Differential Equations Handbook of Ordinary Differential Equations Mark Sullivan July, 28 i Contents Preliminaries. Why bother?...............................2 What s so ordinary about ordinary differential equations?......

More information

ODE. Philippe Rukimbira. Department of Mathematics Florida International University PR (FIU) MAP / 92

ODE. Philippe Rukimbira. Department of Mathematics Florida International University PR (FIU) MAP / 92 ODE Philippe Rukimbira Department of Mathematics Florida International University PR (FIU) MAP 2302 1 / 92 4.4 The method of Variation of parameters 1. Second order differential equations (Normalized,

More information

0.1 Problems to solve

0.1 Problems to solve 0.1 Problems to solve Homework Set No. NEEP 547 Due September 0, 013 DLH Nonlinear Eqs. reducible to first order: 1. 5pts) Find the general solution to the differential equation: y = [ 1 + y ) ] 3/. 5pts)

More information

Math 240 Calculus III

Math 240 Calculus III Calculus III Summer 2015, Session II Monday, August 3, 2015 Agenda 1. 2. Introduction The reduction of technique, which applies to second- linear differential equations, allows us to go beyond equations

More information

swapneel/207

swapneel/207 Partial differential equations Swapneel Mahajan www.math.iitb.ac.in/ swapneel/207 1 1 Power series For a real number x 0 and a sequence (a n ) of real numbers, consider the expression a n (x x 0 ) n =

More information

Engg. Math. I. Unit-I. Differential Calculus

Engg. Math. I. Unit-I. Differential Calculus Dr. Satish Shukla 1 of 50 Engg. Math. I Unit-I Differential Calculus Syllabus: Limits of functions, continuous functions, uniform continuity, monotone and inverse functions. Differentiable functions, Rolle

More information

x 3y 2z = 6 1.2) 2x 4y 3z = 8 3x + 6y + 8z = 5 x + 3y 2z + 5t = 4 1.5) 2x + 8y z + 9t = 9 3x + 5y 12z + 17t = 7

x 3y 2z = 6 1.2) 2x 4y 3z = 8 3x + 6y + 8z = 5 x + 3y 2z + 5t = 4 1.5) 2x + 8y z + 9t = 9 3x + 5y 12z + 17t = 7 Linear Algebra and its Applications-Lab 1 1) Use Gaussian elimination to solve the following systems x 1 + x 2 2x 3 + 4x 4 = 5 1.1) 2x 1 + 2x 2 3x 3 + x 4 = 3 3x 1 + 3x 2 4x 3 2x 4 = 1 x + y + 2z = 4 1.4)

More information

1 Solution to Homework 4

1 Solution to Homework 4 Solution to Homework Section. 5. The characteristic equation is r r + = (r )(r ) = 0 r = or r =. y(t) = c e t + c e t y = c e t + c e t. y(0) =, y (0) = c + c =, c + c = c =, c =. To find the maximum value

More information

Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: = 0 : homogeneous equation.

Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: = 0 : homogeneous equation. Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: y y x y2 = 0 : homogeneous equation. x2 v = y dy, y = vx, and x v + x dv dx = v + v2. dx =

More information

2.3 Linear Equations 69

2.3 Linear Equations 69 2.3 Linear Equations 69 2.3 Linear Equations An equation y = fx,y) is called first-order linear or a linear equation provided it can be rewritten in the special form 1) y + px)y = rx) for some functions

More information

SOLUTIONS Section (a) y' + 4 x+2 y = -6. (x+2) 2, P(x) = 4, P(x) dx = 4 applen(x+2) = applen(x+2)4. = (x+2) 4,

SOLUTIONS Section (a) y' + 4 x+2 y = -6. (x+2) 2, P(x) = 4, P(x) dx = 4 applen(x+2) = applen(x+2)4. = (x+2) 4, page of Section 4. solutions SOLUTIONS Section 4.. (a) y' + 4 x+2 y = -6 (x+2) 2, P(x) = 4, P(x) dx = 4 applen(x+2) = applen(x+2)4 x+2 applen(x+2) 4 I = e = (x+2) 4, answer is y = -2 x+2 + k (x+2) 4 (x+2)

More information

MA22S3 Summary Sheet: Ordinary Differential Equations

MA22S3 Summary Sheet: Ordinary Differential Equations MA22S3 Summary Sheet: Ordinary Differential Equations December 14, 2017 Kreyszig s textbook is a suitable guide for this part of the module. Contents 1 Terminology 1 2 First order separable 2 2.1 Separable

More information

Series Solutions of Differential Equations

Series Solutions of Differential Equations Chapter 6 Series Solutions of Differential Equations In this chapter we consider methods for solving differential equations using power series. Sequences and infinite series are also involved in this treatment.

More information

Review session Midterm 1

Review session Midterm 1 AS.110.109: Calculus II (Eng) Review session Midterm 1 Yi Wang, Johns Hopkins University Fall 2018 7.1: Integration by parts Basic integration method: u-sub, integration table Integration By Parts formula

More information

Elementary ODE Review

Elementary ODE Review Elementary ODE Review First Order ODEs First Order Equations Ordinary differential equations of the fm y F(x, y) () are called first der dinary differential equations. There are a variety of techniques

More information

Separable Equations (1A) Young Won Lim 3/24/15

Separable Equations (1A) Young Won Lim 3/24/15 Separable Equations (1A) Copyright (c) 2011-2015 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or

More information

UNIVERSITY OF SOUTHAMPTON. A foreign language dictionary (paper version) is permitted provided it contains no notes, additions or annotations.

UNIVERSITY OF SOUTHAMPTON. A foreign language dictionary (paper version) is permitted provided it contains no notes, additions or annotations. UNIVERSITY OF SOUTHAMPTON MATH055W SEMESTER EXAMINATION 03/4 MATHEMATICS FOR ELECTRONIC & ELECTRICAL ENGINEERING Duration: 0 min Solutions Only University approved calculators may be used. A foreign language

More information

Continuous Random Variables

Continuous Random Variables 1 / 24 Continuous Random Variables Saravanan Vijayakumaran sarva@ee.iitb.ac.in Department of Electrical Engineering Indian Institute of Technology Bombay February 27, 2013 2 / 24 Continuous Random Variables

More information

A Brief Review of Elementary Ordinary Differential Equations

A Brief Review of Elementary Ordinary Differential Equations A A Brief Review of Elementary Ordinary Differential Equations At various points in the material we will be covering, we will need to recall and use material normally covered in an elementary course on

More information

NATIONAL OPEN UNIVERSITY OF NIGERIA SCHOOL OF SCIENCE AND TECHNOLOGY COURSE CODE: MTH421 COURSE TITLE: ORDINARY DIFFERENTIAL EQUATIONS

NATIONAL OPEN UNIVERSITY OF NIGERIA SCHOOL OF SCIENCE AND TECHNOLOGY COURSE CODE: MTH421 COURSE TITLE: ORDINARY DIFFERENTIAL EQUATIONS MTH 421 NATIONAL OPEN UNIVERSITY OF NIGERIA SCHOOL OF SCIENCE AND TECHNOLOGY COURSE CODE: MTH421 COURSE TITLE: ORDINARY DIFFERENTIAL EQUATIONS MTH 421 ORDINARY DIFFERENTIAL EQUATIONS COURSE WRITER Prof.

More information

Second Order ODE's (2A) Young Won Lim 5/5/15

Second Order ODE's (2A) Young Won Lim 5/5/15 Second Order ODE's (2A) Copyright (c) 2011-2015 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or

More information

2.12: Derivatives of Exp/Log (cont d) and 2.15: Antiderivatives and Initial Value Problems

2.12: Derivatives of Exp/Log (cont d) and 2.15: Antiderivatives and Initial Value Problems 2.12: Derivatives of Exp/Log (cont d) and 2.15: Antiderivatives and Initial Value Problems Mathematics 3 Lecture 14 Dartmouth College February 03, 2010 Derivatives of the Exponential and Logarithmic Functions

More information

Chapter 3a Topics in differentiation. Problems in differentiation. Problems in differentiation. LC Abueg: mathematical economics

Chapter 3a Topics in differentiation. Problems in differentiation. Problems in differentiation. LC Abueg: mathematical economics Chapter 3a Topics in differentiation Lectures in Mathematical Economics L Cagandahan Abueg De La Salle University School of Economics Problems in differentiation Problems in differentiation Problem 1.

More information

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1.

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1. MTH4101 CALCULUS II REVISION NOTES 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) 1.1 Introduction Types of numbers (natural, integers, rationals, reals) The need to solve quadratic equations:

More information

Ordinary differential equations Notes for FYS3140

Ordinary differential equations Notes for FYS3140 Ordinary differential equations Notes for FYS3140 Susanne Viefers, Dept of Physics, University of Oslo April 4, 2018 Abstract Ordinary differential equations show up in many places in physics, and these

More information

2.1 The derivative. Rates of change. m sec = y f (a + h) f (a)

2.1 The derivative. Rates of change. m sec = y f (a + h) f (a) 2.1 The derivative Rates of change 1 The slope of a secant line is m sec = y f (b) f (a) = x b a and represents the average rate of change over [a, b]. Letting b = a + h, we can express the slope of the

More information

1 Functions of many variables.

1 Functions of many variables. MA213 Sathaye Notes on Multivariate Functions. 1 Functions of many variables. 1.1 Plotting. We consider functions like z = f(x, y). Unlike functions of one variable, the graph of such a function has to

More information

Goals: Second-order Linear Equations Linear Independence of Solutions and the Wronskian Homogeneous DEs with Constant Coefficients

Goals: Second-order Linear Equations Linear Independence of Solutions and the Wronskian Homogeneous DEs with Constant Coefficients Week #3 : Higher-Order Homogeneous DEs Goals: Second-order Linear Equations Linear Independence of Solutions and the Wronskian Homogeneous DEs with Constant Coefficients 1 Second-Order Linear Equations

More information

Introduction to di erential equations and applications

Introduction to di erential equations and applications Introduction to di erential equations and applications Bernard Deconinck Department of Applied Mathematics University of Washington Campus Box 35242 Seattle, WA, 9895, USA October 2, 29 Prolegomenon These

More information

The first order quasi-linear PDEs

The first order quasi-linear PDEs Chapter 2 The first order quasi-linear PDEs The first order quasi-linear PDEs have the following general form: F (x, u, Du) = 0, (2.1) where x = (x 1, x 2,, x 3 ) R n, u = u(x), Du is the gradient of u.

More information

2 Series Solutions near a Regular Singular Point

2 Series Solutions near a Regular Singular Point McGill University Math 325A: Differential Equations LECTURE 17: SERIES SOLUTION OF LINEAR DIFFERENTIAL EQUATIONS II 1 Introduction Text: Chap. 8 In this lecture we investigate series solutions for the

More information

McGill University Math 325A: Differential Equations LECTURE 12: SOLUTIONS FOR EQUATIONS WITH CONSTANTS COEFFICIENTS (II)

McGill University Math 325A: Differential Equations LECTURE 12: SOLUTIONS FOR EQUATIONS WITH CONSTANTS COEFFICIENTS (II) McGill University Math 325A: Differential Equations LECTURE 12: SOLUTIONS FOR EQUATIONS WITH CONSTANTS COEFFICIENTS (II) HIGHER ORDER DIFFERENTIAL EQUATIONS (IV) 1 Introduction (Text: pp. 338-367, Chap.

More information

3. Identify and find the general solution of each of the following first order differential equations.

3. Identify and find the general solution of each of the following first order differential equations. Final Exam MATH 33, Sample Questions. Fall 7. y = Cx 3 3 is the general solution of a differential equation. Find the equation. Answer: y = 3y + 9 xy. y = C x + C x is the general solution of a differential

More information

Special Mathematics Tutorial 1

Special Mathematics Tutorial 1 Special Mathematics Tutorial 1 February 018 ii Science is a differential equation. Relegion is a boundary condition Alan Turing 1 Differential equations A case for Sherlock Holmes London, 18.30 o clock.

More information

then the substitution z = ax + by + c reduces this equation to the separable one.

then the substitution z = ax + by + c reduces this equation to the separable one. 7 Substitutions II Some of the topics in this lecture are optional and will not be tested at the exams. However, for a curious student it should be useful to learn a few extra things about ordinary differential

More information