Engineering Mathematics-III Dr. P.K. Srivastava Assistant Professor of Mathematics Galgotia College of Engineering & Technology Greater Noida (U.P.) (An ISO 9001:2008 Certified Company) Vayu Education of India 2/25, Ansari Road, Darya Ganj, New Delhi-110 002 Engineering Mathematics-III Copyright ©VAYU EDUCATION OF INDIA ISBN: 978-93-83137-12-1 First Edition: 2013 Price: 160/- All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the Author and Publisher. Printed & bound in India Published by: (An ISO 9001:2008 Certified Company) Vayu Education of India 2/25, Ansari Road, Darya Ganj, New Delhi-110 002 Ph.: 91-11-43526600, 41564445 Fax: 91-11-41564440 E-mail: [email protected] Web: www.veiindia.com Contents 1. Partial Differentiation and Partial Differential Equation...................... 1-37 2. Partial Differential Equations............................................................. 38-85 3.Fourier Series....................................................................................86-113 4.Laplace Transformation....................................................................114-152 5.Numerical Techniques. ..................................................................... 153-184 6.Numerical Methods for Solution . of Partial Differential Equation. 185-221 Chapter-1 1.1 Functions of Two or More Variables A symbol z which has a definite value for every pair of values of x and y is called a function of two independent variables x and y and is written as z = f (x, y) orI (x, y) 1.2 Limits “The function f (x, y) is said to tend to limit l as x o a and y o b if and only if the limit l is independent of the path followed by the point (x, y) as x o a and y o b and we write lim f ( x , y) = l x oa y ob Or, in circular neighbourhood we define the limit as: “The function f (x, y) defined in a region R, is said to tend to the limit l as x o a and y o b if and only if corresponding to a positive number H, another positive number G such that f ( x , y) l e for 0 < (x – a)2 + (y – b) < G for every point (x, y) in R”. 1.3 Continuity “A function f(x, y) is said to be continuous at the point (a, b) if lim f ( x , y) exists = f(a, b) xoa yob If it is continuous at all points in a region, then it is said to be continuous in that region. A function which is not continuous at a point in any region is called discontinuous at that point for same region. 1.4 Partial Derivatives Let z = f (x, y) be variables x and y. Then partial differentiation of z w.r.t. x keeping y as a constant is denoted as wz w f ( x , y ) , , fx ( x , y ), Dx f ( x , y ) wx wx 2 2 Engineering Mathematics–III A Textbook of Engineering Mathematics-I wz f ( x dx , y ) f ( x , y ) = lim dx o 0 wx dx Similarly, the partial differentiation of z w.r.t. y keeping x as a constant is denoted as where wz w f ( x , y ) , , f y ( x , y), Dy f ( x , y ) wy wy In general, fx and fy being functions of x and y, so these can be further differentiated partially w.r.t. x and y and thus we have w2 z w wz ½ ® ¾ = dx ¯ wx ¿ wx 2 or w2 f wx 2 or fxx w dy w2z wz ½ ® ¾ = wy wx ¯ wx ¿ or w2 f or fxy wy wx w dx wz ½ w2z ® ¾ = wx w y ¯ wy ¿ or w2 f or fyx wx wy w wz ½ w2z ® ¾ = 2 dy ¯ wy ¿ wy It can be verified easily that or w2 f wy2 or fyy w2z w2z = wx wy wy wx Also, we can use the following notations w2 z wz w2 z w2 z wz , q= , r= , s = , t = wx w y wy x wx 2 wy 2 If z be a function of number of variables say x1, x2, ... xn; then its partial derivatives w.r.t. to one of the variables say x1 is denoted as p = wz , keeping others as constant. wx1 Example 1.1 If z (x + y) = x2 + y2, show that 2 Solution: § wz w z · § wz wz · ¸ = 4 ¨1 ¨ ¸ wx wy ¹ © wx wy ¹ © z (x + y) = x2 + y2 z= Now x 2 y2 xy x 2 2xy y2 wz ( x y ) 2 x ( x 2 y2 ) . 1 = = wx ( x y )2 ( x y )2 Partial Differentiation and Partial Differential Equation 3 wz ( x y) . 2 y ( x 2 y2 ) . 1 y2 2xy x 2 = wy = ( x y )2 ( x y )2 Also, 2 ? 2 2 2 2 § wz w z · ° x 2xy y y x 2xy ½° ¾ ¸ = ® ¨ ( x y )2 © wx wy ¹ °¿ ¯° ? 2 x 2 y2 ° § wz w z · 2 ¸ = ® ¨ °¯ x y © wx wy ¹ 2 = 2 ½ ° ¾ °¿ 4 ( x y )2 ( x y )2 ...(1) Also, we have ° ª x 2 2xy y2 º ª y2 2xy x 2 º ½° wz wz ½ 4 ®1 ¾ = 4 ®1 « »« »¾ 2 2 wx wy ¿ ¯ ¼ ¬ (x y) ¼ °¿ ¯° ¬ ( x y) 2 2 2 2 2 2 ° x y 2xy x 2xy y y 2xy x °½ = 4® ¾ ( x y )2 ¯° ¿° 2 2 ( x y )2 ° x 2xy y ½° 4 . = 4® = ¾ 2 ( x y )2 °¯ ( x y) °¿ Hence from (1) and (2), we have ...(2) 2 § wz w z · § wz wz · ¸ = 4 ¨1 ¨ ¸ wx wy ¹ © wx wy ¹ © Example 1.2 If u = exyz, find the value of Solution: Let then w3 u wx wy wz u = exyz wu = xyexyz wz w2 u = e xyz ( x ) e xyz ( xz ) ( xy ) wy wz w2 u = e xyz ( x x 2 yz ) wy wz w3 u = e xyz (1 2xyz ) ( x x 2 yz ) yz . e xyz wx wy wz = exyz (1 + 3xyz + x2 y2 z2) ...(1) 4 4 Engineering Mathematics–III A Textbook of Engineering Mathematics-I Example 1.3 If u = f (y / x), show that wu wu x y dx dy = 0 Solution: Let u = f(y / x) wu = fc (y / x) . – y / x2 Now dx wu y = f c( y / x ) dx x Also, from (1), we have 1 wu = f c( y / x ) . x dy y wu = f c( y / x ) x dy Now, adding (2) and (3), we get wu wu x y =0 dx dy y ...(1) ...(2) ...(3) Example 1.4 If u = log (x3 + y3 + z3 – 3xyz), show that 2 § w w w · 9 ¸ u = ¨ x y z w w w ( x y z )2 ¹ © Solution: Let then from (1), we have u = log (x3 + y3 + z3 – 3xyz) ...(1) 1 wu . 3x 2 3 yz = 3 3 3 dx x y z 3xyz = 3 x2 y z x 3 y3 z3 3xyz ...(2) Similarly, we have 3 y2 xz wu dy = x 3 y3 z 3 3xyz ...(3) 3 z 2 xy wu = 3 and wz x y3 z 3 3xyz By adding (2), (3) and (4), we get ...(4) 3 x 2 y2 z 2 xy yz zx wu wu wu wx wy wz = x 3 y3 z 3 3xyz Partial Differentiation and Partial Differential Equation = 3 x 2 y2 z 2 xy yz zx x yz x 2 y2 z 2 xy yz zx § w w w · 3 ¸u = ¨ x y z w w w x yz © ¹ 2 § w w w · · § w w w ·§ 3 ¸ u = ¨ ¨ ¸ ¸¨ © wx wy wz ¹ w w w x y z x y z © ¹© ¹ · w § · w § · w § 3 3 3 = ¸ ¨ ¸ ¨ ¸ ¨ wx © x y z ¹ wy © x y z ¹ wz © x y z ¹ 3 3 3 9 = 2 2 2 = ( x y z )2 (x y z ) (x y z) (x y z ) EXERCISES 1. I f xx yy zz = c, show that of x = y = z, w2z = – (x log ex)–1 wx w y 2. If V = (x2 + y2 + z2)–1/2, we show that w2 V wx 2 w2 V wy2 w2 V wz 2 =0 ½° xy 1 ° 3. If u = tan ® ¾ , show that °¯ (1 x 2 y2 ) °¿ 1 w2 u = wx w y 1 x 2 y2 3/2 4. If z = f (x + ay) + f (x – ay), prove that w2 z wy2 2 = a w2 z wx 2 5. If u = sin–1 {x / y} + tan–1 {y / x} then find the value of x wu wu y =0 wx wy 6. If z = eax + by . f (ax – by), prove that 5 6 6 Engineering Mathematics–III A Textbook of Engineering Mathematics-I b wz wz a = 2abz wx wy 7. If z = x2 tan–1 (y / x) – y2 tan–1 (x / y), prove that x 2 y2 w2z = 2 wx w y x y2 8. If u = log (x2 + y2) + tan–1 {y / x}, show that w 2u wx 2 w2u wy 2 =0 § xz · 9. If u = exyz f ¨ ¸ , prove that © y ¹ x wu wu y wx wy = 2xy zu, wu wu z = 2xy zu, wy wz Also, reduce that y x 10. If u = x w2 u w2 u = y wz wx wz wy y z x , show that z x y wu wu wu y z wx wy wz = 0 1.5 Total Differentiation If u = f(x, y), where x = I(t) and y = \(t), then we find the value of u interms of t. Hence we can regard u as a function of t alone. Then ordinary differential coefficient of u w.r.t. t, i.e., du is called total differential coefficient of u. dt du Now, to find without substituting the values of x and y in f(x, y), we establish the dt following formula: wu dx wu dy du = wx dt wy dt dt Proof: We have u = f(x, y) ...(1) Now, giving the increment Gt to t, we suppose that the corresponding increments in x, y, and u be Gx, Gy and Gu respectively. Then Partial Differentiation and Partial Differential Equation 7 u + Gu = f(x + Gx, y + Gy) ? Gu = f(x + Gx, y + Gy) – f(x, y) = f(x + Gx, y + Gy) – f(x, y + Gy)+ f(x, y + Gy) – f(x, y) ? du f ( x dx , y dy ) f ( x , y dy) dx f ( x , y dy) f ( x , y) dy = dy dt dt dx dt Now taking limits as Gt o 0, Gx and Gy also o 0, we have lim f ( x dx , y dy ) f ( x , y dy) dx du = dx o 0 d yo0 dt dt dx f ( x , y dy) f ( x , y ) dy + dlim y o0 dt dy = wf ( x , y ) dx wf ( x , y ) dy wx dt wy dt which is the desired formula. Note: 1. If t = x, then wu wu dy du = wx wy dx dx 2. If u = f(x, y, z) and x, y, z all being functions in t, then, we have du wu dx wu dy wu dz = dt wx dt wy dt wz dt 3. If f(x, y) = c be an implicit relation between x and y then we have 0= df dx wf wf dy wx wy dx dy wf / wx = dx wf / wy 4. If f(x, y) = 0 then d2 y dx 2 = q 2r 2 pqs p2t q3 Example 1.5 dy dx Solution: Let f(x, y) = x3 + 3x2y + 6xy2 + y3 = 1 Then from (1), we have If x3 + 3x2y + 6xy2 + y3 = 1, find wf ( x , y) = 3x2 + 6xy + 6y2 wx ...(1) 8 8 Engineering Mathematics–III A Textbook of Engineering Mathematics-I and wf ( x , y) = 3x2 + 12xy + 3y2 wy Hence 3( x 2 2xy) 2 y2 dy x 2 2xy 2 y2 = = dx 3( x 2 4 xy y2 ) x 2 4 xy y2 Example 1.6 §x· sin ¨ ¸ , x © y¹ direct substitution. Solution: We have Given u et and y = t2, find du as a function of t. Verify your result by dt du wu dx wu dy = dt wx dt wy dt §x· t 1 §x·§x· = cos ¨ y ¸ e y cos ¨ y ¸ ¨ 2 ¸ 2t © ¹ © ¹© y ¹ du et t 2 t 2 t 2 = cos( e / t ) e / t 2 cos ( e / t ) 3 dt t (t 2) ½ t t 2 = ® 3 ¾ e cos ( e / t ) ¯ t ¿ Also ? §x· u = sin ¨ ¸ © y¹ § et · sin ¨ 2 ¸ ¨t ¸ © ¹ § et · t 2 . et 2et . t § et · (t 2) t du cos . e cos ¨ ¸ = = ¨¨ t 2 ¸¸ ¨ t2 ¸ t4 t3 dt © ¹ © ¹ EXERCISES 1. If u = x2 – y2 + sin yz, where y = ex, and z = log x, find du/dx. 2. Find du/dx, if u = sin(x2 + y2), where (a2x2 + b2y2) = c2 dy if (i) ax2 + 2hxy + by2 = 1, (ii) yx + xy = c. dx 4. If u = x log xy, where x3 + y3 + 3xy = 1, find du/dx. 5. Find the partial differential coefficients of x2y w.r.t. x and y, and its total differential coefficient w.r.t. x when x and y are connected by the relation x2 + xy + y2 = 1. 3. Find 6. If f(x, y) = 0, I(y, z),= 0, show that wf wf dz wy wz dx wx wf . wy wy Partial Differentiation and Partial Differential Equation 7. If xy = yx, show that dy dx 9 y( y x log y) . x ( x y log x ) ANSWERS 1. 2x ( 2 y z cos yz ) e x ( y cos yz ) / x 2. 2x {cos ( x 2 y2 )} (1 a 2 / b2 ) 3. (i) ( ax hy)/(hx by); (ii) ( y x log y yx y 1 ) / ( xyx 1 xy log x ) 4. 1 log xy x ( x 2 y) / y ( x y2 ) 5. If f = x2y, then df dx 2xy, w 2 f / wx 2 differential coefficients are zero. wf wy 2 y, df dx 0, 2xy w2 f wx wy 2x , w3 f wx 2 wy 2 , and all the higher x 2 (2x y) . x 2y 1.6 Homogeneous Functions; Euler’s Theorem Definition: An expression of the form a0xn + a1xn–1y + a2 xn–2y2 + ... + an yn where each term is of degree n is called a homogeneous function in degree n. The above expression can also be written as ° x n ®a0 a1 °¯ § y· ¨ ¸ a2 ©x¹ 2 § y· ¨ ¸ ... an ©x¹ n½ § y· ¨ ¸ ©x¹ ° ¾ = xn f(y/x) °¿ If the function f(x1, x2, ..., xm) can be expressed in the form §x x x · x rn F ¨ 1 , 2 , ..., m ¸ , xr ¹ © xr xr then f(x1, x2, ..., xm ) is called a homogeneous function of m variables in degree n. 1.7 Euler’s Theorem on Homogeneous Functions If f(x, y) be a homogeneous function of x and y of degree n, then x wf wf y wx wy = n f Proof: Let f(x, y) = xn F(y/x) be a homogeneous function in degree n. Then from (1), we have wf § y· § y· § y· n 1 F ¨ ¸ xn F c¨ ¸ ¨ 2 ¸ = nx wx ©x¹ ©x¹ © x ¹ ...(1) 10 10 Engineering A TextbookMathematics–III of Engineering Mathematics-I § y· § y· n 1 F ¨ ¸ x n 2 yF c ¨ ¸ = nx ©x¹ ©x¹ Also from (1), we have wf § y· 1 x n F c¨ ¸ = wy ©x¹ x ...(2) §y· x n 1 F c ¨ ¸ ©x ¹ ...(3) Now, multiplying (2) by x and (3) by y and then adding, we get x wf wf § y· § y· § y· y n x n F ¨ ¸ x n 1 y F c ¨ ¸ x n 1 y F c ¨ ¸ = wx wy ©x¹ ©x¹ ©x¹ § y· n = n x F ¨ ¸ = n f ( x , y) ©x¹ Hence the result proved. In general, if f(x1, x2, .... xm) be a homogeneous function of degree n, then x1 wf wf wf x2 ... xm wx1 wx2 wxm n f Example 1.7 Verify Euler’s Theorem when f(x, y, z) = axy + byz + czx Solution: Let f(x, y, z) = axy + byz + czx then from (1), we have wf wf = ay cz x wx wx Again from (1), we have wf wf = ax bz y wy wy ...(1) axy czx ...(2) axy byz ...(3) wf wf bzy czx = by cx z wy wz Then adding (2), (3) and (4), we have wf wf wf x 2 ( axy byz czx ) y z wx wy wz = 2f(x, y, z) which verifies Euler’s Theorem in this case. and ...(4) Example 1.8 If u ° x 4 y4 ½° wu wu log e ® y ¾ , show that x x y wx wy °¿ ¯° 3 (U.P.T.U., 2000) Partial Differentiation and Partial Differential Equation 11 Solution: We have ° x 4 y4 ½° log ¾ e ® u= °¯ x y °¿ eu = x 4 y4 xy 4 ° § y · ½° ®1 ¨ ¸ ¾ © x ¹ ¿° ° 3 ¯ eu = x § y ·½ ®1 ¨ ¸ ¾ © x ¹¿ ¯ § y· x 3 f ¨ ¸ (say) = z ©x¹ z is a homogeneous function of degree 3. ? By Euler’s formula, we have wz wz x y 3 z wx wy But z = eu wz u wu = e wx wx wz w u u and = e wy wy Then from (1), using (2), we have ...(1) ...(2) wu wu ½ y eu ®x ¾ = 3eu w wy ¿ x ¯ wu wu x y wx wy = 3. Proved. Example 1.9 If z be a homogeneous function of degree n, show that (i) x (ii) x w2 z w2 z wx wy (n 1) wz , wx w2 z w2 z y 2 wx wy wy ( n 1) wz , and wy wx 2 y 2 w2 z 2 w z y n( n 1) z. wx w y wx 2 wy2 Proof: By Euler’s Theorem, we know that 2 (iii) x w2 z 2xy x wz wz y wx wy = n . z (i) Differentiating (1) partially w.r.t. x, we get ...(1) 12 12 Engineering A TextbookMathematics–III of Engineering Mathematics-I wz w2 z w2 z wz x 2 y = n w x wx w x w y wx w2z wz = (n 1) 2 wx wy wx wx (ii) Again differentiating (1) w.r.t. y, we get x x w2z y ...(2) w2 z w 2 z wz wz y 2 = n wx wy wy wy wy wz w2 z w2 z y 2 = (n 1) Proved. wy wx wy wy (iii) Multiplying (2) by x and (3) by y and then adding, we get x x2 w2 z wx 2 2xy ...(3) wz wz ½ w2 z w2z y ¾ y2 2 = ( n 1) ® x wy ¿ wx w y wy ¯ wx = (n – 1) n . z = n(n – 1)z Proved. EXERCISES 1. Verify Euler’s Theorem in the following cases: (i) 3x2yz + 5xy2z + 4z4 = f(x, y, z) (ii) f(x, y) = ax2 + 2hxy + by2 (iii) u = (x1/4 + y1/4)/(x1/5 + y1/5) (iv) u = x2(x2 – y2)3/(x2 +y2)3 2. If u log wu wu x 2 y2 y , prove that x wx wy xy 3. If u = sin–1{(x2 + y2)/(x + y)}, show that x 4. If cos u = ( x y ) /( x 5. If u 1. wu wu y wx wy y ) , prove that x tan u. wu wu 1 y cot u wx wy 2 3 3 ° x y °½ tan1 ® ¾ , prove that ¯° x y °¿ wu wu sin 2u y wx wy (b) x2 uxx + 2xy uxy + y2 yyy = 2cos 3u sin u (a) x 6. If u = x3 + y3 + z3 + 3xyz, show that x wu wu wu y z wx wy wz 3u 0.
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