Save from: 1 st. class Mathematics الرياضيات استاذ الماده: م.م. سرى علي مجيد علي

Size: px
Start display at page:

Download "Save from: 1 st. class Mathematics الرياضيات استاذ الماده: م.م. سرى علي مجيد علي"

Transcription

1 Sve from: st clss Mthemtics الرياضيات استاذ الماده: م.م. سرى علي مجيد علي

2 Chpter One Consider n rbitrry system of eqution in unknown s: A B.( n mn m m m n n n n B r bm n n m m m b n n b n in i i il ( The coefficient of the vribles nd constnt terms cn be put in the form: mx nx mxn mn m m n bm b b n n..( Let the form ( i n n u A mn m m...(4 Is clled (mxn mtrix nd donted this mtrix by: [ij] i,, m nd j,,..n. We sy tht is n (mxn mtrix or ةلمكت The mtrix of order (mxn it hs m rows nd n columns. For exmple the first row is (,, n And the first column is m

3 (ij denote the element of mtrix. Lying in the i th row nd j th column, nd we cll this element s the (i,j - th element of this mtrix Also n nx b b bm mx is (nx [n rows nd columns] Is (mx [m rows nd column] Sub Mtrix: Let A be mtrix in (4 then the sub-mtrix of A is nother mtrix of A denoted by deleting rows nd (or column of A. Let A Find the sub-mtrix of A with order ( ny sub-mtrix of A denoted by deleting ny row of A Definition.: 4 5 6,, Tow (mxn mtrices A [ij] (mxn nd B [bij] (mxn re sid to be equl if nd only if: ij bij for i,..m nd j,.n

4 Thus two mtrices re equl if nd only if: i. They hve the sme dimension, nd ii. All their corresponding elements re equl for exmple: 4 5 (7 4 Definition. If A [ij] mxn nd B [bij] mxn re mxn mtrix their sum is the mxn mtrix AB [ ij bij]mxn. In other words if two mtrices hve the sme dimension, they my be dded by ddition corresponding elements. For exmple if: A Then AB 7 nd B Additions of mtrices, like equlity of mtrices is defined only of mtrices hve sme dimension. Theorem.: Addition of mtrices is commuttive nd ssocitive, tht is if A, B nd C re mtrices hving the sme dimension then: A B B A (commuttive A (b C (A B C (ssocitive 4

5 Definition. The product of sclr K nd n mxn mtrix A [ij] mxn is the nn,n mtrix KA [kij] mn for exmple: 7 6( 6( 6( (5 6( 6( 6 Appliction of Mtrices Definition.4: If A [ij] mxn is mxn mtrix nd B [bjk] nxp n nxp mtrix, the product AB is the mxp mtrix C [cik] nxp in which n Cik j ij bik Exmple: if A b nd B b b x A B b b b b b b Exmple : Let A nd B 4 A B

6 Note.: in generl if A nd B re two mtrices. Then A B my not be equl of B AB nd B A BA. For exmple A A B B A if A B is defined then its not necessry tht B A must lso be defined. For exmple. If A is of order ( nd B of order ( then clerly A B is define, but B A is not defined.. Different Types of mtrices: Row Mtrix: A mtrix which hs exctly one row is clled row mtrix. For exmple (,,, 4 is row mtrix Column Mtrix: A mtrix which hs exctly one column is clled column mtrix for exmple is column mtrix. Squre Mtrix: A mtrix in which the number of row is equl to the number of columns is clled squre mtrix for exmple 4 is squre mtrix. A mtrix (A (n n A is sid to be order or to be n n-squre mtrix. 6

7 7 4 - Null or Zero Mtrix: A mtrix ech of whose elements is zero is clled null mtrix or zero mtrix, for exmple is ( null mtrix. 5 Digonl Mtrix: the elements ii re clled digonl of squre mtrix ( nn constitute its min digonl A squre mtrix whose every element other thn digonl elements is zero is clled digonl mtrix for Exmple: or 6 Sclr Mtrix: A digonl mtrix, whose digonl elements re equl, is clled sclr mtrix. For exmple,, 5 5 re sclr mtrix 7 Identity Mtrix: A digonl mtrix whose digonl elements re ll equl to (unity is clled identity mtrix or (unit mtrix. And denoted by in for Exmple I Note.: if A is (mxn mtrix, it is esily to define tht AIn A nd lso ImA A Ex: Find AI nd IA when A 7

8 8 Solution: IA And AI Tringulr Mtrix: A squre mtrix (ij whose element ij whenever i j is Clled lower tringulr mtrix.simillry y squre mtrix (ij whose element ij whenever is clled n upper Tringulr Mtrix For exmple:, re lower tringulr mtrix And,, re upper tringulr Definition.4: Trnspose of mtrix The trnspose of n mxn mtrix A is the nxm mtrix denoted by A T, formed by interchnging the rows nd columns of A the ith rows of A is the ith columns in A T. For Exmple: A T A 9 Symmetric Mtrix: A squre mtrix A such tht A A T is clled symmetric mtrix i.e. A is symmetric mtrix if nd only if ij ji for ll element. 4

9 For Exmple:, b Skew symmetric Mtrix: A squre mtrix A such tht A A T is clled tht A is skew symmetric mtrix. i.e A is skew mtrix ji -ij for ll element of A. The following re exmples of symmetric nd skew symmetric mtrices respectively (,( b 4 ( symmetric (b Skew symmetric. Note the fct tht the min digonl element of skew symmetric mtrix must ll be Zero Determintes: To every squre mtrix tht is ssigned specific number clled the determintes of the mtrix. ( Determintes of order one: write det (A or A for detrimentl of the mtrix A. it is number ssigned to squre mtrix only. The determinnt of ( mtrix ( is the number itself det (. (c Determinnts of order two: the determinnt of the. mtrix c b d Is denoted nd defined s follows: c b d d bc Theorem.: determinnt of product of mtrices is the product of the determinnt of the mtrices is the product of the determinnt of the mtrices det (A B det (A. det (B det (A B # det det B 9

10 (C Determintes of order three: (i the determinnt of mtrix is defined s follows: (ii Consider the ( mtrix Show tht the digrm ppering below where the first two columns re rewritten to the right of the mtrix. Theorem.: A mtrix is invertible if nd only if its determinnt is not Zero usully mtrix is sid to be singulr if determinnt is zero nd non singulr it otherwise..5 prosperities of Determinnts ( det A det A T where A T is the trnspose of A. ( if ny two rows (or two columns of determintes re interchnged the vlue of determinnts is multiplied by -. ( if ll elements in row (or column of squre mtrix re zero. Then det (A

11 (4 if two prllel column (rows of squre mtrix A re equl then det (A (5 if ll the elements of one row (or one column of determinnt re multiplied by the sme fctor K. the vlue of the new determinnt is K times the given det. Exmple; Exmple: (6 if to ech element of selected row (or column of squre mtrix k times. The corresponding element of nother selected row (or column is dded. Exmple: row ( row ( (7 if ny row or column contin zero elements nd only one element not zero then the determinnt will reduced by elementry the row nd column if the specified element indeterminte.

12 .6 Rnk of Mtrix: we defined the rnk of ny mtrix tht the order of the lrgest squre sub-mtrix of whose determinnt not zero (det of submtrix Exmple: Let A find the rnk of A Since A of order Rnk Since the rnk Minor of mtrix: Let A n n n n nn Is the squre mtrix of order n then the determinnt of ny squre sub- mtrix of with order (n- obtined by deleting row nd column is clled the minor of A nd denoted by Mij..8 Cofctor of mtrix: Let A be squre mtrix in (4 with mij which is the minors of its. Then the Cofctor of defined by Cij (- ij Mij Exmple: Let A 4 6 Solution: The minor of element 7 is 4 4 M det (4 7 find the minor nd the cofctor of element 7. i.e (denoted by tke the squre sub-mtrix by deleting the second rows nd third column in A. the Cofctor of 7 is

13 C ( M ( Adjoint of mtrix: Let mtrix A in (4 then the trnsposed of mtrix of cofctor of this mtrix is clled djoint of A, djoint A trnsposed mtrix of Cofctor. The inverse of mtrix: Let A be squre mtrix. Then inverse of mtrix {Where A is non-singulr mtrix} denoted by A - nd A - dj ( A det A. method to find the inverse of A: To find the inverse of mtrix we must find the following: (i the mtrix of minor of elements of A. (ii the Cofctor of minor of elements of A (iii the djoint of A. then A - A dja Exmple: let A 4 Find A - ( Minors of A is Mij ( Cofctor of A is (- Mij ( Adj of A 7 (4 det 6 7.

14 4 A Properties of Mtrix Multipliction: (KA B K (AB A (KB K is ny number A (BC (AB C (A B C AC BC 4 C (A B CA CB 5 AB BA (in generl For exmple: Let A nd B A B B A A B B A 6 A B but not necessrily A or B For Exmple: A, B A B, B A But A B 7 - C C C C 8 A I I A A where I is identity mtrix

15 9 (A B T B T A T A - A A.A - I. Crmer s Rule Let the system of liner question s b ( i b The system (i cn put in the form: b ( ii b If D Then the system (ii hs unique solution, nd Crmer s rule stte tht it my be found from the formuls: b b, D b b D Exmple: solve the system 9-4 So, the system cn put in the form, 9, 4 5

16 9 4 4 D 7, D D 7 Let the following system in the unknowns: b b b The system (I cn be put in the form: b b b (II If D The system hs unique solution, given by Crmer s rule: D b b b, D b b b D b b b Exmple: solve the system

17 7 By crmer s rule. The system ( become Since D det Crmer s rule gives the solution:

18 Chpter Two Function Numbers: N set of nturl numbers N {,,, 4 } I set of integers {., -, -, -,,,, } Note tht: NCI A set of rtionl numbers ρ : ρ nd q reint egers q q 4 7 Ex:,,, 5 Note tht: ICA 4 B set of irrtionl numbers { : is not rtionl number} Ex:,, 7 5 R: set of rel numbers set of ll rtionl nd irrtionl numbers Note tht R AUB Note: the set of rel numbers is represented by line clled line of numbers: (ii NCR, ICR, ACR, BCR Intervls The set of vlues tht vrible my tke on is clled the domin of. The domins of the vribles in mny pplictions of clculus re intervls like those shows below. open intervls is the set of ll rel numbers tht lie strictly between two fixed numbers nd b: In symbols In words b or ( q, b The open intervl b 8

19 Closed Intervls contin both endpoints: In symbols b or [, b] In words the closed intervl b Hlf open intervls contin one but not both end points: In symbols: in wrds b or [,b] the intervl less thn or equl cb To less thn b b or [,b] the intervl less thn less thn or equl b Ex: find the domin of Y The domin of is the closed intervl Y The domin for is open intervl becuse is not defined B - y or 9

20 The domin for is the hlf open Ex: the eqution the domin Y Y Y y 4 ( 4 The domin for is U Definition: A function, sy f is reltion between the elements of two sets sy A nd B such tht for every A there exists one nd only one Y B with Y F(. The set A which contin the vlues of is clled the domin of function F. The set B which contins the vlues of Y corresponding to the vlues of is clled the rnge of the function F. is clled the independer vrible of the function F, while Y is clled the dependnt vrible of F. Note: Some times the domin is denoted by DF nd the rnge by RF. Y is clled the imge of.

21 Exmple: Let the domin of be the set {,,,,4}. Assign to ech vlue of the number Y. The function so defined is the set of pirs, { (,, (,, (,4, (,9, (4,6 }. Exmple: Let the domin of be the closed intervl. Assign to ech vlue of the number y. The set of order pirs (, y such tht And y is function. Note: Now cn describe function by two things: the domin of the first vrible. the rule or condition tht the pirs (, y must stistfy to belong to the function. Exmple: The function tht pirs with ech vlue of diffrent from the number y f ( Note : Let f ( nd g ( be two function. - ( f ± g( f ( ± g( - ( f. g( f (. g( - ( f f ( ( if g ( g g( Exmple: Let f (, g( evlute f ± g, f. g nd f g

22 So: ( f ± g( f ( ± g( ± ( ( f. g ( f (. g( ( ( f f ( ( ( { : } g g( Composition of Function: Let f ( nd g( be two functions We define: ( fog ( f ( g( Exmple: Let f (, g( 7 evlute fog nd gof So: ( fog ( f [ g( x] f ( 7 ( 7 ( gof ( g[ f ( ] g( 7 fog gof Inverse Function Given function F with domin A nd the rnge B. The inverse function of f written f, is function with domin B nd rnge A such tht for every y B there exists only A with f ( y. Note tht: f f Polynomils: A polynomil of degree n with independent vrible, written f n (x or simply f ( is n expression of the form: fn ( q... n Where o n...(* q,,..., n re constnt (numbers. The degree of polynomil in eqution ( * is n ( the highest power of eqution Exmple: (i f ( 5 polynomil of degree one.

23 5 (ii f ( 7 polynomil of degree five. (iii F ( 8 polynomil of degree Zero. Notes: The vlue of which mke the polynomil f ( re clled the roots of the eqution ( f ( Exmple: ( is the root of the polynomil F ( Since f ( Exmple: F ( Liner function if F ( b. Even Function: F ( is even if f (-x F (x Exmple: - F ( ( is even since f ( ( ( f ( - F ( cos ( is even becuse f ( cos ( cos ( f ( Odd Function: If f ( f ( the function is clled odd. Exmple: - f ( is odd since f ( f ( - f ( Sin ( Sin f (. Trigonometric Function: Sin ϕ c

24 Cos ϕ c b tn ϕ b 4 Cotn ϕ 5 Sec ϕ b tnϕ c cosϕ b 6- CSC ϕ c Sinϕ Reltion ships between degrees nd rdins ϕ In rdius r s 6 o πr r π rdius o π 8 rdius.74 rdin 8 ο rdin deg ree π 6 ο rdin π 8 o π rdins.459 rdins o π π. 754 rdins 6 8 tn sin cos Cos Cot Sin tn C 4 Sin

25 5 cos Sec sin Csc Sin Cos tn Sec Csc Cot Sin y Cos Cosy Sin y Sin ± µ ( Siny Sin Cosy Cos y Cos ± ± ( y x y x y tn tn tn tn tn ( µ ± ± B A Cos B A Sin Sin B SinA - B A Sin B A Cos B Sin Sin A B A Cos B A Cos b Cos A Cos 4 - B A Sin B A Sin Cos B A Cos x Cos x Sin x Cos x Cos Cos Sin Sin Cos Cos Cos Sin Sin ϕ π ϕ Sin Sin ( ϕ π ϕ Cos Cos ( ϕ π ϕ tn ( tn B

26 Degree O o o 45 o 6 o 9 o 8 o 7 o 6 o θ rdius O π 6 π 4 π π π π π Sin θ O O - O Cos θ O - O tn θ O Cos ( ϕ nπ Cosϕ Sin ( ϕ nπ Sinϕ Cos ( ϕ Cosϕ Sin ( ϕ Sinϕ π Cos ( ϕ Cosϕ tn ( π ϕ tnϕ π tn ( ϕ Cotϕ Grphs: The set of points in the plne whose coordinte pirs re lso the ordered pirs of function is clled the grph of function. Exmple: Grph function we crry out three steps y, x 6

27 Mke tble of pirs from the function s y (, y - 4 (,4 - (-, (, (, 4 (,4 Plot enough of the corresponding points to lern the shpe of the grph. Add more pirs to the tble if necessry. Complete the sketch by connecting the points. Exmple: y 7

28 y (,y O (, O (, Absolute Vlue: We define the bsolute vlue function y, the function ssign every negtive number to non-negtive, which corresponding points. The bsolute vlues of : Then: if if -. b, b - b b - C C C y f ( y (,y - ( -, (, (, 8

29 Exmple : y f ( b y f ( y (,y O (, (, Exmple : y f ( y (,y (, Domin: Rnge: y - - (-, (, (, (, (, Domin: Rnge: y 9

30 y tnx Domin: All rel numbers except odd integer multiplies of π Rnge: y

31 Limits: We sy tht L is right hnd limit for f ( when pproches C for the right, written Lim f ( C L. Similry, L is the left hnd limit for f ( when pproches C for the left, written Lim f ( C. L, Then Lim f ( L, C Lim f ( Lim f ( x If nd. only if C C Exmple: ± Lim Lim Lim Theorem ( ( ( If Lim f ( L, Lim g( L c c Then Lim [ f ( ± g( ] L ± L - c

32 Lim [ f ( g( ] L L f ( L - Lim ( if L g L 4 - Lim c [ K f ( ] KL Theorem - Lim K K, K is constnt Where K is constnt - Lim[ c n... n ] c c... nc n Lim smx Lim Cos Sin Lim Exmple: Evlute - - Lim (4 4 Lim 4( Lim ( x ( ( 4 Lim 4 ( ( 4 Sin Sin 4 Lim Lim ( 4

33 tn x 5 Lim Sin Cos Sin Lim. Cos Sin Lim. Cos Infinity s Limits Evlute: - Lim Sin Lim. Lim Cos ( ( ( Lim Lim x Lim 5 x x Lim x Theorem If f ( g ( h( nd Lim f ( Lim h ( L then L is the limit of g(x Exmple: Evlute Sin Lim -

34 - Lim Sin ( Continuity Definition: A function f is sid to be continuous t following conditions re stisfied: f (C is defined C provided the Lim f ( x C exists Lim f ( x f ( C x C Theorem Any Polynomil 4 P (... n (n Is continuous for ll 4... n R( ( n, bn 4 bo b b... bn Is continuous t every point of its domin of definition tht is t every point where its denomintor isd not zero Ech of the igonometric function Sin, Cos, tn, Cot Sec, nd Csc, is continuous t every point of its domin of definition. Exmple Lim ( Cos Cos π Solution Lim ( Cos ( Cos ( Cos π Cosπ 4

35 Exmple f ( Discontinuous t Lim Lim Lim does not exist f ( discontinuous Exmple : check the continuity of the function f ( SOL f ( Lim ( f ( Lim f ( The function continuous t Problems Q// find Domin, rnge nd sketch ech of the following: - y - y - y 4- y 5 - y 6 - y 5

36 7 - y 8 - y Sin 9 - y Sin - y Cos Q // Evlute ech of the following limits: - t Lim t y - Lim - y 5y b Lim y y 4 - y Lim y 5y 6 y 5-4 Lim 6 - t Lim t t 7 - t Lim t t t 5t tnθ Lim 8 - θ θ Sin θ Lim 9 - θ θ - Sin Lim - Sin5 Lim Sin - Lim Sin - Sin Lim 4 - Sin Lim Lim tn Csc 4 5-6

37 Chpter Three Specil Function - Exponentil function (i y e, e. 7 Domin: R Rnge: R (, (ii y e Domin: R Rnge: R: (, (iii y, Domin: R Rnge: (, Logrithmic Function: (i Common logrithmic function (Log y Log Domin: (, Rnge: R Y 7

38 (ii Nturl Logrithmic function (Ln x y Ln x e, e.7 Domin: (, Rnge: R Theorem: If nd re positive numbers nd n is ny rtionl number, then (i Ln (ii Lne (iii Ln Ln Lnx (iv Ln ( Ln Ln (v Ln n n Ln. Note: Ln e ( ( Ln e ( e Y e y e (4 (5 Lim Ln e Lim (6 Ln Ln 8

39 Hyperbolic Functions: The Hyperbolic Functions re certin combintions of the exponentil e functions e nd they re: (i Hyperbolic Sine (Sinh: y Sinh, Sinh e e Domin: R Rnge: R (ii Hyperbolic Cosin (cosh y Coshx, Cosh e e Domin: R Rnge: (, (iii Hyperbolic tngent (tnh y tnh x, tnh x e e e e Domin: R 9

40 Rnge: ( -, (iv Hyperbolic cotngent (coth y coth, coth Domin: R - { } e e e e Y Coth Rnge: { y : y or y } (v Hyperbolic Secnt (Sech y Sech, Sech e e Domin: R Rnge: (o, (vi Hyperbolic cosecnt (Csch y Csch, Csch Domin: R - { } Rnge: R - { } e e 4

41 Reltionships mong Hyperbolic Function - Cosh Sinh - Sech tnh - Coth Csch Functions of negtive rguments - Sinh( Sinh - Cosh ( Cosh - tnh ( tnh 4 - Coth ( Coth 5 - Sech ( Sech 6 - Csch( Csh Addition Formul: - Sinh ( ± y Sinh Coshy µ Coshy Sinhy - Cosh ( ± y Cosh Coshy ± Sinh Sinhy Double ngle formul: - Sinh Sinh Cosh - Cosh Cosh Sinh Sinh Cosh Inverse Trigonometric Function Inverse Sine (Sin - y Sin rc Sine Siny. 4

42 Y is the ngle whose Sine is Exmple: 45 ο π Sin, Sin Domin: [, ] π π Rnge:, Principle vlues of y. Inverse Cosine ( Cos y Cos rc Cos Cosy y is the ngle whose cosin is Exmple: ο Cos Cos Domin: [, ] Rnge: [,π ] ο Inverse of tngent (tn - y tn rc tn tn y y is the ngle whose cosin is Exmple: 45 ο tn tn 45 Domin: R π π Rnge: (, 4

43 4 Inverse of cotngent (Cot - y Cot rc Cot Coty Domin: R Rnge: (, π - 5 Inverse secnt (Sec - y Sec rc Sec Secy Domin: (, ] Υ [, Rnge: π π, Υ π 6 Inverse Csc (Csc - y Csc rc Csc Cscy Domin: (, ] Υ [, Rnge: π π, Υ, Inverse hyperbolic Functions Inverse hyperbolic sine ( Sinh - y Sinh Sinhy 4

44 Domin: R Rnge:R - Inverse hyperbolic cosin (Cosh - y Cosh Coshy Domin: [, Rnge: [, Inverse hyperbolic tngent (tnh - y tnh tnh y Domin: (-, Rnge: R 4 Inverse hyperbolic cotngent (Coth - y Coth Cothy Domin: { Υ } Rnge: R / { } 44

45 5 Inverse hyperbolic secnt (Sech - y sec h sec hy Domin: (, ] Rnge: y 6 Inverse hyperbolic cosecnt (Csch - y Csch Cschy Logrithmic Form of Inverse hyperbolic Functions Theorem: the following reltionships hold for ll in the domin of the stted inverse hyperbolic. Functions: - Sinh Ln ( - Cosh Ln ( 45

46 - tnh Ln ( ( 4 - Coth Ln ( ( 5 - Sech Ln ( 6 - Csch Ln ( Prove tht: * Sinh Ln ( Sol Let y Sinh * Sinhy Since Sinhy y y e e z y y e e z y e y e y y y y y e z e e e e y e ± 4 4 ± y Since e then y e y Ln ( or Sinh Ln ( Exmple: Sinh Ln ( Ln (.88 46

47 * tnh Ln ( Sol Let y tnh tnh y y y e e y e e y y ( e e y y y e e y y y y ( e e e e y y e e y e ( y e y Ln ( tnh Ln ( Exmple: tnh ( Ln ( Ln Problems: Q: find domin, rnge nd sketch ech of following: π π - y Sin, y - y Cot, y π - π π y tn, y 47

48 4 - y π π csc, y 5 - y Cot, y π 6 - y y Sec, y π 7 - y Ln 8 - y Ln 9 - y e - y e - y Sinh - y Cosh - y Cosh 4 - y tnh 5 - y Coth 6 - y Coth 7 - y Sech 8 - y csc h Q: Prove tht: - Sinh Ln (, - Coch Ln (, - tnh Ln (, 4 - Coth Ln (, 5 - Sech Ln (, 48

49 49 6 -, ( Ln Csch Q// Discuss the Continuity of the following functions t the given points: ( t f - { ( t if if if f - ( t f 4 - ( t for for Sin Cos f 5 - ( t for for f ( t for for f 7 - ( π t Lnx Sin f

50 8 - f ( t 9 - f ( for for t Q4 // Simplify ech of the following: - Ln e - Ln ( e - ( Ln e 4 - Ln ( e 5 - Ln ( e 6 - Ln ( e 7 - Ln( e Ln( e Ln Ln e - Ln e e - Ln ( - Ln (, e 5

51 - e Ln Ln e 4 - Lny 5

52 Chpter Four The derivtive Derivtive of function: Let y f ( nd let P(, y be fixed point on the curve, nd Q (, y y is nother point on the curve s see in the figure y f (, nd y y f ( y f ( y Divided by y f ( f ( The slope of the curve f ( is M tnφ M y f ( f ( We define the limit my exist for some vlue of. At ech point where limit does exist, then f is sid to hve derivtive or to be differentible. 5

53 5 Rules of Derivtions: C constnt n Positive integer dx du LnC C f t Cons C U C f d du e f e f d du U n f U f d du U Where V uv vu f v u f d du V d dv U f UV f d dv dx du d dy f V U f Cn f n f f d dy f y U U u u n n n n n.. ( tn ( ( ( ] [ ( ] [ (, ( ( ( ( ( ( ( ( ( ( ± C f y (

54 Derivtive of trigonometric functions: (sin u ' cos u du (cos u ' - sin u du (tn u ' sec u du 4 (cot u ' - csc u du 5 (sec u ' sec u tn u du 6 (csc u ' - csc u cot u du Derivtive of hyperbolic functions: sinh u cosh u du cosh u sinh u du tnh u sech u du 4 cot u - csch u du 5 sech u - sech u tnh u du 6 csch u - csch u coth u du derivtive of the inverse trigonometric functions: (sin - u ' du/(-u / (cos - u ' - du/(-u / (tn - u ' du/u 4 (cot - u ' - du/u 5 (sec - u ' du/ u(u - / 6 (csc - u ' - du/ u(u - / derivtive of the inverse of hyperbolic functions: (sinh - u ' du/( u / (cosh - u ' du/ ( u - / (coth - u ' du/-u if u > 4 (tnh - u du/-u if u <

55 5 (sech - u ' - du/ u(-u / 6 (csch - u ' - du/ u(u / ex: find y ' of ( y [ln (x ] ( y 4 x Sol: ( y ' [ln (x ] [/(x] 9[ln (x ] / (x ( y ' 4 x ln4 {Applictions of derivtive} Velocity nd ccelertion Ex: find velocity nd ccelertion t time t to moving body s S t 5t 4t -. Sol: V ds/dt 6t t 4 A dv/dt t- Theorem: Prove tht: D(sin - u /(- u / (du/dx Proof Let y sin - sin y u u[-,] y [ Π/, Π/] Cos y dy/dx du/dx dy/dx /cos y du/dx Since cos y sin y this implies tht Cos y ( - sin y / Cos y ± ( - u / Cos y is positive between Π/ nd Π/ Dy/dx /(- u / (du/dx D(sin - u Ex: find dy/dx for the following functions: ( y tn (x

56 ( y x sin - x ( x / ( y cosh - (sec x sol: ( y ' sec (x 6x 6x sec (x ( y ' x/( x / sin - x - x/( x / sin - x ( y ' [/(sec x / ] sec x tn x sec x tn x/(sec x / Implicit reltions: Ex: find dy/dx if x 5 4x y y 5 sol: 5x 4 4x y (dy/dx 4y 5y 4 (dy/dx (x y 5y 4 dy/dx - 5x 4-4y dy/dx ( - 5x 4-4y /(x y 5y 4 Chin Rule - If y f (x, nd x x (t, then y y x t x t - If y f (t, nd x x (t, then y x y t x t dy dt dx dt dy dx Ex: find, nd of x t nd y t Sol: dx dt. dy dt t, dy dx LHopitl's Rule dy dt dx dt t

57 Let f nd g be two functions which re differentible in n open intervl I contining the point c nd let g ' (x. if f ( x lim x c g( x,,.,.,.,,, then lim x c f ( x g( x lim x c ' f ( x. ' g ( x Ex: evlute Sol: ( lim x sin x x x x x x lim sin (, x ( x ln x x lim x sin x x cosx lim lim x x x x ( lim x ln x. x ln x lim x ln x lim x x x lim ln x lim x lim x x x x x x Series (Power series: If { n } is sequence of constnts, the expression: x x. n x n. is clled power series in x. n n n x

58 (Tylor's series: If function f cn be represented by power series in (x-b clled Tylor's series nd hs the form: f ( x f ( b ' f ( b( x b f '' ( b( x b!... f n ( b( x b n! n... Exmple: Find Tylor series expnsion of cos x bout point Sol: f(x cos x f( cos ( f ' ( x sin x, f ' ( sin f '' ( x cosx, f '' ( cos f ''' ( x sin x, f ''' ( sin f iv( x cosx, f iv( cos ( x ( x 4 ( x cosx 6...! 4! 6! (Mclurin series: when b, Tylor series clled Mclurin series. Exmple: Find Mclurin series for the function f(x e x Sol: f(x e x f( e f ' (x e x f ' ( e f '' (x e x f '' ( e f ''' (x e x f ''' ( e e x x (x /! (x /!.

59 Chpter five (INTEGRALS The process of finding the function whose derivtive is given is clled integrtion, it's the inverse of differentition. Definition:(indefinite integrl A function yf(x is clled solution of dy/dxf(x if df(x/dxf(x. We sy tht F(x is n integrl of f(x with respect to x nd F(x c is lso n integrl of f(x with constnt c s.t D(F(x cf(x. Formuls of Integrtion: ʃ dxx c. ʃ dx ʃdx ʃ(du ± dv ʃdu ± ʃdv. 4 ʃx n dx(x n /n c 5 ʃ(u n du(u n /n c 6 ʃe u du e u c 7 ʃ u du( u /ln c 8 ʃ du/u ln u c. Exmple: Solve the differentil eqution: dy/dxx. Sol: dyx dx since d(x x dx, then we hve: ʃ dy ʃ x dx ʃ d(x dx y x c. 9 methods for finding integrls:

60 ''Integrl of trigonometric functions'': ʃ cos u du sin u c ʃ sin u du - cos u c ʃ sec u dutn u c 4 ʃ csc u du-cot u c 5 ʃ sec u tn u du sec u c 6 ʃ csc u cot u du - csc u c ''Integrl of hyperbolic functions'': cosh u du sinh u c ʃ sinh u du cosh u c ʃ sech u du tnh u c 4 ʃ csch u du -cot u c 5 ʃ sech u tnh u du - sech u c 6 ʃ csch u coth u du - csch u c Integrl of the inverse trigonometric functions: ʃ du/(-u / {sin - u c or -cos - u c } ʃ du/u {tn - u c or -cot - u c} ʃ du/ u(u - / sec - u c or -csc - u c} Integrl of the inverse of hyperbolic functions: ʃ du/( u / sinh - u c ʃ du/ ( u - / cosh - u c ʃ du/-u tnh - u c if u < nd ʃ du/-u coth - c if u > 4 ʃ du/ u(-u / - sech - u c 5 ʃ du/ u(u / -csch - u c

61 ex: evlute: ʃ (5x 4-6x / x dx ʃ cos x dx ʃ cos x dx sol: ʃ (5x 4-6x / x dx 5 ʃ x 4 dx-6 ʃ x dx ʃ x - dx 5 -x -/x c ʃ cos x dx sin x/ c ʃ cos x dx / ʃ( cos x dx /[ʃ dx ʃ cos x dx] /[x sin x/] c /x /4 sin x c - ''Integrtion by prts'' Let u nd v be functions of x nd d(uv u dv v du By integrtion both sides of this eqution (w.r.t x ʃ d(uv ʃ u dv ʃ v du this implies (uv ʃ u dv ʃ v du ʃ u dv (uv - ʃ v du ex: find ʃ x e x dx sol: let ux du dx nd let dv e x dx from ʃ u dv (uv - ʃ v du ʃ x e x dx x e x - e x c 4- ''Integrls involving ( - u /, ( u /, (u - /, - u, u, u - '' (A u sin Φ replces - u - sin Φ (- sin Φ cos Φ (B u tn Φ replces u tn Φ sec Φ (C u sec Φ replces u - sec Φ - tn Φ

62 Ex: find ʃ dx/x (4 - x / Sol: Let xsin Φ dx cos Φ dφ ʃ dx/x (4 - x / ʃ cos Φ dφ/4 sin Φ(4-4 sin Φ / ʃ cos Φ dφ/4 sin Φ(cos Φ ʃ dφ/4 sin Φ /4ʃ csc Φ dφ - /4cot Φ c now from x sin Φ sin Φ x/ cos Φ (- x /4 / /(4 - x / -/4cot Φ c (-/4(4 - x / /x 5-'' Integrls involving x bx c '' First, We put the eqution s (x bx c. Second, if, we tke s mutble by the sides of the eqution which hs x, [x (b/x] c. Third, put nd sub to the eqution [(/ the number multiplied by x], [x (b/x (/4(b/ - (/4(b/ ] c. Fourth, rewrite the eqution s [x (b/x (/4(b/ ] c - (/4(b / Lst, the eqution become [x (/ (b/] c - (/4(b / nd suppose u x (/ (b/ to become [u] c - (/4(b / Ex: Find dx/(4x 4x Sol: 4x 4x (4x 4x 4(x x 4[x x (/4 -(/4] 4[x x (/4] - 4[x/]. Let u x/ 4[x/] 4u. Since u x/ x u (/ dx du

63 dx/(4x 4x du/(4u / du/(4u / tn - u / tn - (x/. 6-''method of prtil frctions'' If the integrl of the form f(x/g(x s.t f(x nd g(x re poly. And degree of f(x< degree of g(x we cn crry out two cses: Cse i If ll fctor of g(x re liner, by the following ex: Ex: find ʃ dx/ x x Sol: / x x /(x-(x A/(x- B/(x [A(x B/(x - ] /(x- (x Ax A Bx B (ABx (A-B A-B (AB A A/ put in eq.( B -/ ʃ dx/ x x ʃ /(x-(xdx ʃ [A/(x- B/(x ]dx ʃ [(//(x- (//(x ]dx /ʃ /(x- / ʃ /(x dx / ln x- -/ ln x c Cse ii If some of the fctors of g(x re qudrtic, by the following ex: Ex: find ʃ (x x dx/ (x - x x Sol: (x x / (x - x x (x x / x (x (x (x x / (x (x [A/(x ] [(Bx C/ (x ] [A(x (Bx C (x ]/ (x (x x x A(x (Bx C (x x x (A B x (B C x (A-C A B

64 B C A - C - A -7/5, B 4/5, C /5 (x x / (x (x (-7/5/(x [(4/5x (/5]/ (x And ʃ (x x dx/ (x (x (-7/5 ʃ dx/(x (4/5 ʃ x dx/(x (/5 ʃ dx/ (x -(7/5 ln x- (/5 ln x /5 tn - x 7-''further substitutions'' Some integrls involving frctionl powers of the vrible x my be simplified by substitution x u n where n is the lest common multiple of the denomintors of the exponents. Ex: Iʃ (x / dx/(x / sol: let xu 6 dx 6 u 5 du I ʃ (u 6 / (6 u 5 du/(( u 6 / 6 ʃ u u 5 du/u 6 ʃ u 8 du/u By long division u 8 /u u 6 u 4 u - (/ u I 6ʃ u 8 du/u 6 ʃ [u 6 u 4 u - (/ u ] du (6/7 u 7 (6/5 u 5 u -6u 6 tn - uc (6/7 x 7/6 (6/5 x 5/6 x / -6x /6 6 tn - (x /6 c 8-''rtionl functions of sin x nd cos x'' If the integrl tht is rtionl function of sin x or cos x or both, cn be chnged s following: Let z tn(x/ x/ tn - z x tn - z dx dz/( z cos(x/ /( z /, sin(x/ z/( z /

65 sin x sin(x/ cos(x/ z/( z cos x cos (x/ sin (x/ (- z /( z from [cos(x/ x/] ex: find I ʃ dx/(- sin x cos x sol: I ʃ dz/( z (- [z/( z ] [(- z /( z ] ʃ dz/( z ( z -z- z /( z ʃ dz/(-z ʃ dz/(-z -ln -z c -ln -tn(x/ c 9-''evluting integrls of the following types'' (A sin(mx sin(nx (/ [cos(m-nx- cos(mnx] (B sin(mx cos(nx (/ [sin(m-nxsin(mnx] (C cos(mx cos(nx (/ [cos(m-nx cos(mnx] Ex: ʃ sin(4x sin(x dx ʃ (/ [cos(4-x- cos(4x]dx ʃ (cos x- cos 7xdx sin x (/7sin 7x c {definite integrl} The definite integrl like indefinite integrl but there is limit to the integrl like ʃ b f(x dx F(- F(b. Ex: evlute ʃ x dx Sol: ( 4 /4 8/4 Applictions of definite integrl {re under the curve}

66 Ex: find the re under sin x bdd by x nd x π nd x-xis Sol: A ʃ π sin x dx ʃ π sin x dx- ʃ π π sin x dx (cos π-cos ( cos π-cos π (--(-(-4 {re between two curves} Ex: find the re bdd by y - x nd y -x Sol: Y - x y -x - x -x x x- (x-(x x, x - A ʃ - [(-x -(-x]dx [x (x / (x /] Double integrls When the integrl hve two signls of integrl to two prmeters x nd y clled double integrl, like ʃ ʃ f(x,y dx dy. The benefit of like integrls is to find the volume of things. Ex: find the volume of f(x,y x y limited by x(, nd y (. ʃ ʃ x y dx dy ʃ [(x /y dy] ʃ [( /- ( /]y dy ʃ [(7/- (/]y dy ʃ (6/y dy (6/ʃ y dy [(6/(y /] [(/ y ] (/ 4- (/

67

Math& 152 Section Integration by Parts

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

More information

Math 3B Final Review

Math 3B Final Review Mth 3B Finl Review Written by Victori Kl vtkl@mth.ucsb.edu SH 6432u Office Hours: R 9:45-10:45m SH 1607 Mth Lb Hours: TR 1-2pm Lst updted: 12/06/14 This is continution of the midterm review. Prctice problems

More information

Chapter 7 Notes, Stewart 8e. 7.1 Integration by Parts Trigonometric Integrals Evaluating sin m x cos n (x) dx...

Chapter 7 Notes, Stewart 8e. 7.1 Integration by Parts Trigonometric Integrals Evaluating sin m x cos n (x) dx... Contents 7.1 Integrtion by Prts................................... 2 7.2 Trigonometric Integrls.................................. 8 7.2.1 Evluting sin m x cos n (x)......................... 8 7.2.2 Evluting

More information

Matrices. Elementary Matrix Theory. Definition of a Matrix. Matrix Elements:

Matrices. Elementary Matrix Theory. Definition of a Matrix. Matrix Elements: Mtrices Elementry Mtrix Theory It is often desirble to use mtrix nottion to simplify complex mthemticl expressions. The simplifying mtrix nottion usully mkes the equtions much esier to hndle nd mnipulte.

More information

The Product Rule state that if f and g are differentiable functions, then

The Product Rule state that if f and g are differentiable functions, then Chpter 6 Techniques of Integrtion 6. Integrtion by Prts Every differentition rule hs corresponding integrtion rule. For instnce, the Substitution Rule for integrtion corresponds to the Chin Rule for differentition.

More information

Chapter 6 Techniques of Integration

Chapter 6 Techniques of Integration MA Techniques of Integrtion Asst.Prof.Dr.Suprnee Liswdi Chpter 6 Techniques of Integrtion Recll: Some importnt integrls tht we hve lernt so fr. Tle of Integrls n+ n d = + C n + e d = e + C ( n ) d = ln

More information

Anti-derivatives/Indefinite Integrals of Basic Functions

Anti-derivatives/Indefinite Integrals of Basic Functions Anti-derivtives/Indefinite Integrls of Bsic Functions Power Rule: In prticulr, this mens tht x n+ x n n + + C, dx = ln x + C, if n if n = x 0 dx = dx = dx = x + C nd x (lthough you won t use the second

More information

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY Chpter 3 MTRIX In this chpter: Definition nd terms Specil Mtrices Mtrix Opertion: Trnspose, Equlity, Sum, Difference, Sclr Multipliction, Mtrix Multipliction, Determinnt, Inverse ppliction of Mtrix in

More information

. Double-angle formulas. Your answer should involve trig functions of θ, and not of 2θ. sin 2 (θ) =

. Double-angle formulas. Your answer should involve trig functions of θ, and not of 2θ. sin 2 (θ) = Review of some needed Trig. Identities for Integrtion. Your nswers should be n ngle in RADIANS. rccos( 1 ) = π rccos( - 1 ) = 2π 2 3 2 3 rcsin( 1 ) = π rcsin( - 1 ) = -π 2 6 2 6 Cn you do similr problems?

More information

CHAPTER 2d. MATRICES

CHAPTER 2d. MATRICES CHPTER d. MTRICES University of Bhrin Deprtment of Civil nd rch. Engineering CEG -Numericl Methods in Civil Engineering Deprtment of Civil Engineering University of Bhrin Every squre mtrix hs ssocited

More information

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim Mth 9 Course Summry/Study Guide Fll, 2005 [1] Limits Definition of Limit: We sy tht L is the limit of f(x) s x pproches if f(x) gets closer nd closer to L s x gets closer nd closer to. We write lim f(x)

More information

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors Vectors Skill Achieved? Know tht sclr is quntity tht hs only size (no direction) Identify rel-life exmples of sclrs such s, temperture, mss, distnce, time, speed, energy nd electric chrge Know tht vector

More information

ECON 331 Lecture Notes: Ch 4 and Ch 5

ECON 331 Lecture Notes: Ch 4 and Ch 5 Mtrix Algebr ECON 33 Lecture Notes: Ch 4 nd Ch 5. Gives us shorthnd wy of writing lrge system of equtions.. Allows us to test for the existnce of solutions to simultneous systems. 3. Allows us to solve

More information

Optimization Lecture 1 Review of Differential Calculus for Functions of Single Variable.

Optimization Lecture 1 Review of Differential Calculus for Functions of Single Variable. Optimiztion Lecture 1 Review of Differentil Clculus for Functions of Single Vrible http://users.encs.concordi.c/~luisrod, Jnury 14 Outline Optimiztion Problems Rel Numbers nd Rel Vectors Open, Closed nd

More information

The Regulated and Riemann Integrals

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

More information

Overview of Calculus I

Overview of Calculus I Overview of Clculus I Prof. Jim Swift Northern Arizon University There re three key concepts in clculus: The limit, the derivtive, nd the integrl. You need to understnd the definitions of these three things,

More information

Disclaimer: This Final Exam Study Guide is meant to help you start studying. It is not necessarily a complete list of everything you need to know.

Disclaimer: This Final Exam Study Guide is meant to help you start studying. It is not necessarily a complete list of everything you need to know. Disclimer: This is ment to help you strt studying. It is not necessrily complete list of everything you need to know. The MTH 33 finl exm minly consists of stndrd response questions where students must

More information

. Double-angle formulas. Your answer should involve trig functions of θ, and not of 2θ. cos(2θ) = sin(2θ) =.

. Double-angle formulas. Your answer should involve trig functions of θ, and not of 2θ. cos(2θ) = sin(2θ) =. Review of some needed Trig Identities for Integrtion Your nswers should be n ngle in RADIANS rccos( 1 2 ) = rccos( - 1 2 ) = rcsin( 1 2 ) = rcsin( - 1 2 ) = Cn you do similr problems? Review of Bsic Concepts

More information

Introduction to Determinants. Remarks. Remarks. The determinant applies in the case of square matrices

Introduction to Determinants. Remarks. Remarks. The determinant applies in the case of square matrices Introduction to Determinnts Remrks The determinnt pplies in the cse of squre mtrices squre mtrix is nonsingulr if nd only if its determinnt not zero, hence the term determinnt Nonsingulr mtrices re sometimes

More information

If u = g(x) is a differentiable function whose range is an interval I and f is continuous on I, then f(g(x))g (x) dx = f(u) du

If u = g(x) is a differentiable function whose range is an interval I and f is continuous on I, then f(g(x))g (x) dx = f(u) du Integrtion by Substitution: The Fundmentl Theorem of Clculus demonstrted the importnce of being ble to find nti-derivtives. We now introduce some methods for finding ntiderivtives: If u = g(x) is differentible

More information

Unit 5. Integration techniques

Unit 5. Integration techniques 18.01 EXERCISES Unit 5. Integrtion techniques 5A. Inverse trigonometric functions; Hyperbolic functions 5A-1 Evlute ) tn 1 3 b) sin 1 ( 3/) c) If θ = tn 1 5, then evlute sin θ, cos θ, cot θ, csc θ, nd

More information

Chapter 8: Methods of Integration

Chapter 8: Methods of Integration Chpter 8: Methods of Integrtion Bsic Integrls 8. Note: We hve the following list of Bsic Integrls p p+ + c, for p sec tn + c p + ln + c sec tn sec + c e e + c tn ln sec + c ln + c sec ln sec + tn + c ln

More information

Chapter 2. Determinants

Chapter 2. Determinants Chpter Determinnts The Determinnt Function Recll tht the X mtrix A c b d is invertible if d-bc0. The expression d-bc occurs so frequently tht it hs nme; it is clled the determinnt of the mtrix A nd is

More information

TABLE OF CONTENTS 3 CHAPTER 1

TABLE OF CONTENTS 3 CHAPTER 1 TABLE OF CONTENTS 3 CHAPTER 1 Set Lnguge & Nottion 3 CHAPTER 2 Functions 3 CHAPTER 3 Qudrtic Functions 4 CHAPTER 4 Indices & Surds 4 CHAPTER 5 Fctors of Polynomils 4 CHAPTER 6 Simultneous Equtions 4 CHAPTER

More information

Indefinite Integral. Chapter Integration - reverse of differentiation

Indefinite Integral. Chapter Integration - reverse of differentiation Chpter Indefinite Integrl Most of the mthemticl opertions hve inverse opertions. The inverse opertion of differentition is clled integrtion. For exmple, describing process t the given moment knowing the

More information

Integration Techniques

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

More information

Abstract inner product spaces

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

More information

Math 113 Fall Final Exam Review. 2. Applications of Integration Chapter 6 including sections and section 6.8

Math 113 Fall Final Exam Review. 2. Applications of Integration Chapter 6 including sections and section 6.8 Mth 3 Fll 0 The scope of the finl exm will include: Finl Exm Review. Integrls Chpter 5 including sections 5. 5.7, 5.0. Applictions of Integrtion Chpter 6 including sections 6. 6.5 nd section 6.8 3. Infinite

More information

Algebra Of Matrices & Determinants

Algebra Of Matrices & Determinants lgebr Of Mtrices & Determinnts Importnt erms Definitions & Formule 0 Mtrix - bsic introduction: mtrix hving m rows nd n columns is clled mtrix of order m n (red s m b n mtrix) nd mtrix of order lso in

More information

INTRODUCTION TO LINEAR ALGEBRA

INTRODUCTION TO LINEAR ALGEBRA ME Applied Mthemtics for Mechnicl Engineers INTRODUCTION TO INEAR AGEBRA Mtrices nd Vectors Prof. Dr. Bülent E. Pltin Spring Sections & / ME Applied Mthemtics for Mechnicl Engineers INTRODUCTION TO INEAR

More information

Math Calculus with Analytic Geometry II

Math Calculus with Analytic Geometry II orem of definite Mth 5.0 with Anlytic Geometry II Jnury 4, 0 orem of definite If < b then b f (x) dx = ( under f bove x-xis) ( bove f under x-xis) Exmple 8 0 3 9 x dx = π 3 4 = 9π 4 orem of definite Problem

More information

Final Review, Math 1860 Thomas Calculus Early Transcendentals, 12 ed

Final Review, Math 1860 Thomas Calculus Early Transcendentals, 12 ed Finl Review, Mth 860 Thoms Clculus Erly Trnscendentls, 2 ed 6. Applictions of Integrtion: 5.6 (Review Section 5.6) Are between curves y = f(x) nd y = g(x), x b is f(x) g(x) dx nd similrly for x = f(y)

More information

A. Limits - L Hopital s Rule ( ) How to find it: Try and find limits by traditional methods (plugging in). If you get 0 0 or!!, apply C.! 1 6 C.

A. Limits - L Hopital s Rule ( ) How to find it: Try and find limits by traditional methods (plugging in). If you get 0 0 or!!, apply C.! 1 6 C. A. Limits - L Hopitl s Rule Wht you re finding: L Hopitl s Rule is used to find limits of the form f ( x) lim where lim f x x! c g x ( ) = or lim f ( x) = limg( x) = ". ( ) x! c limg( x) = 0 x! c x! c

More information

Review of Calculus, cont d

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

More information

MA Exam 2 Study Guide, Fall u n du (or the integral of linear combinations

MA Exam 2 Study Guide, Fall u n du (or the integral of linear combinations LESSON 0 Chpter 7.2 Trigonometric Integrls. Bsic trig integrls you should know. sin = cos + C cos = sin + C sec 2 = tn + C sec tn = sec + C csc 2 = cot + C csc cot = csc + C MA 6200 Em 2 Study Guide, Fll

More information

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

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

More information

Math 100 Review Sheet

Math 100 Review Sheet Mth 100 Review Sheet Joseph H. Silvermn December 2010 This outline of Mth 100 is summry of the mteril covered in the course. It is designed to be study id, but it is only n outline nd should be used s

More information

Math 107H Topics for the first exam. csc 2 x dx = cot x + C csc x cotx dx = csc x + C tan x dx = ln secx + C cot x dx = ln sinx + C e x dx = e x + C

Math 107H Topics for the first exam. csc 2 x dx = cot x + C csc x cotx dx = csc x + C tan x dx = ln secx + C cot x dx = ln sinx + C e x dx = e x + C Integrtion Mth 07H Topics for the first exm Bsic list: x n dx = xn+ + C (provided n ) n + sin(kx) dx = cos(kx) + C k sec x dx = tnx + C sec x tnx dx = sec x + C /x dx = ln x + C cos(kx) dx = sin(kx) +

More information

MATRICES AND VECTORS SPACE

MATRICES AND VECTORS SPACE MATRICES AND VECTORS SPACE MATRICES AND MATRIX OPERATIONS SYSTEM OF LINEAR EQUATIONS DETERMINANTS VECTORS IN -SPACE AND -SPACE GENERAL VECTOR SPACES INNER PRODUCT SPACES EIGENVALUES, EIGENVECTORS LINEAR

More information

a a a a a a a a a a a a a a a a a a a a a a a a In this section, we introduce a general formula for computing determinants.

a a a a a a a a a a a a a a a a a a a a a a a a In this section, we introduce a general formula for computing determinants. Section 9 The Lplce Expnsion In the lst section, we defined the determinnt of (3 3) mtrix A 12 to be 22 12 21 22 2231 22 12 21. In this section, we introduce generl formul for computing determinnts. Rewriting

More information

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

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

More information

Chapter 28. Fourier Series An Eigenvalue Problem.

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

More information

RAM RAJYA MORE, SIWAN. XI th, XII th, TARGET IIT-JEE (MAIN + ADVANCE) & COMPATETIVE EXAM FOR XII (PQRS) INDEFINITE INTERATION & Their Properties

RAM RAJYA MORE, SIWAN. XI th, XII th, TARGET IIT-JEE (MAIN + ADVANCE) & COMPATETIVE EXAM FOR XII (PQRS) INDEFINITE INTERATION & Their Properties M.Sc. (Mths), B.Ed, M.Phil (Mths) MATHEMATICS Mob. : 947084408 9546359990 M.Sc. (Mths), B.Ed, M.Phil (Mths) RAM RAJYA MORE, SIWAN XI th, XII th, TARGET IIT-JEE (MAIN + ADVANCE) & COMPATETIVE EXAM FOR XII

More information

The Algebra (al-jabr) of Matrices

The Algebra (al-jabr) of Matrices Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense

More information

ENGI 9420 Lecture Notes 7 - Fourier Series Page 7.01

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

More information

Matrices and Determinants

Matrices and Determinants Nme Chpter 8 Mtrices nd Determinnts Section 8.1 Mtrices nd Systems of Equtions Objective: In this lesson you lerned how to use mtrices, Gussin elimintion, nd Guss-Jordn elimintion to solve systems of liner

More information

Chapter 1: Fundamentals

Chapter 1: Fundamentals Chpter 1: Fundmentls 1.1 Rel Numbers Types of Rel Numbers: Nturl Numbers: {1, 2, 3,...}; These re the counting numbers. Integers: {... 3, 2, 1, 0, 1, 2, 3,...}; These re ll the nturl numbers, their negtives,

More information

Math 113 Exam 2 Practice

Math 113 Exam 2 Practice Mth Em Prctice Februry, 8 Em will cover sections 6.5, 7.-7.5 nd 7.8. This sheet hs three sections. The first section will remind you bout techniques nd formuls tht you should know. The second gives number

More information

Definite integral. Mathematics FRDIS MENDELU

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

More information

Review of basic calculus

Review of basic calculus Review of bsic clculus This brief review reclls some of the most importnt concepts, definitions, nd theorems from bsic clculus. It is not intended to tech bsic clculus from scrtch. If ny of the items below

More information

Math 360: A primitive integral and elementary functions

Math 360: A primitive integral and elementary functions Mth 360: A primitive integrl nd elementry functions D. DeTurck University of Pennsylvni October 16, 2017 D. DeTurck Mth 360 001 2017C: Integrl/functions 1 / 32 Setup for the integrl prtitions Definition:

More information

Polynomials and Division Theory

Polynomials and Division Theory Higher Checklist (Unit ) Higher Checklist (Unit ) Polynomils nd Division Theory Skill Achieved? Know tht polynomil (expression) is of the form: n x + n x n + n x n + + n x + x + 0 where the i R re the

More information

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

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

More information

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

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

More information

AP Calculus Multiple Choice: BC Edition Solutions

AP Calculus Multiple Choice: BC Edition Solutions AP Clculus Multiple Choice: BC Edition Solutions J. Slon Mrch 8, 04 ) 0 dx ( x) is A) B) C) D) E) Divergent This function inside the integrl hs verticl symptotes t x =, nd the integrl bounds contin this

More information

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

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

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

More information

Techniques of Integration

Techniques of Integration Chpter 8 Techniques of Integrtion 8. Integrtion by Prts Some Exmples of Integrtion Exmple 8... Use π/4 +cos4x. cos θ = +cosθ. Exmple 8... Find secx. The ide is to multiply secx+tnx both the numertor nd

More information

How can we approximate the area of a region in the plane? What is an interpretation of the area under the graph of a velocity function?

How can we approximate the area of a region in the plane? What is an interpretation of the area under the graph of a velocity function? Mth 125 Summry Here re some thoughts I ws hving while considering wht to put on the first midterm. The core of your studying should be the ssigned homework problems: mke sure you relly understnd those

More information

HAND BOOK OF MATHEMATICS (Definitions and Formulae) CLASS 12 SUBJECT: MATHEMATICS

HAND BOOK OF MATHEMATICS (Definitions and Formulae) CLASS 12 SUBJECT: MATHEMATICS HAND BOOK OF MATHEMATICS (Definitions nd Formule) CLASS 12 SUBJECT: MATHEMATICS D.SREENIVASULU PGT(Mthemtics) KENDRIYA VIDYALAYA D.SREENIVASULU, M.Sc.,M.Phil.,B.Ed. PGT(MATHEMATICS), KENDRIYA VIDYALAYA.

More information

Main topics for the Second Midterm

Main topics for the Second Midterm Min topics for the Second Midterm The Midterm will cover Sections 5.4-5.9, Sections 6.1-6.3, nd Sections 7.1-7.7 (essentilly ll of the mteril covered in clss from the First Midterm). Be sure to know the

More information

The Riemann Integral

The Riemann Integral Deprtment of Mthemtics King Sud University 2017-2018 Tble of contents 1 Anti-derivtive Function nd Indefinite Integrls 2 3 4 5 Indefinite Integrls & Anti-derivtive Function Definition Let f : I R be function

More information

4.4 Areas, Integrals and Antiderivatives

4.4 Areas, Integrals and Antiderivatives . res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

0.1 Chapters 1: Limits and continuity

0.1 Chapters 1: Limits and continuity 1 REVIEW SHEET FOR CALCULUS 140 Some of the topics hve smple problems from previous finls indicted next to the hedings. 0.1 Chpters 1: Limits nd continuity Theorem 0.1.1 Sndwich Theorem(F 96 # 20, F 97

More information

ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 1 - Thurs 28th Sept 17 Review of trigonometry and basic calculus

ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 1 - Thurs 28th Sept 17 Review of trigonometry and basic calculus ES 111 Mthemticl Methods in the Erth Sciences Lecture Outline 1 - Thurs 28th Sept 17 Review of trigonometry nd bsic clculus Trigonometry When is it useful? Everywhere! Anything involving coordinte systems

More information

f(a+h) f(a) x a h 0. This is the rate at which

f(a+h) f(a) x a h 0. This is the rate at which M408S Concept Inventory smple nswers These questions re open-ended, nd re intended to cover the min topics tht we lerned in M408S. These re not crnk-out-n-nswer problems! (There re plenty of those in the

More information

Section 7.1 Integration by Substitution

Section 7.1 Integration by Substitution Section 7. Integrtion by Substitution Evlute ech of the following integrls. Keep in mind tht using substitution my not work on some problems. For one of the definite integrls, it is not possible to find

More information

1 Techniques of Integration

1 Techniques of Integration November 8, 8 MAT86 Week Justin Ko Techniques of Integrtion. Integrtion By Substitution (Chnge of Vribles) We cn think of integrtion by substitution s the counterprt of the chin rule for differentition.

More information

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24

Matrix Algebra. Matrix Addition, Scalar Multiplication and Transposition. Linear Algebra I 24 Mtrix lger Mtrix ddition, Sclr Multipliction nd rnsposition Mtrix lger Section.. Mtrix ddition, Sclr Multipliction nd rnsposition rectngulr rry of numers is clled mtrix ( the plurl is mtrices ) nd the

More information

x = b a n x 2 e x dx. cdx = c(b a), where c is any constant. a b

x = b a n x 2 e x dx. cdx = c(b a), where c is any constant. a b CHAPTER 5. INTEGRALS 61 where nd x = b n x i = 1 (x i 1 + x i ) = midpoint of [x i 1, x i ]. Problem 168 (Exercise 1, pge 377). Use the Midpoint Rule with the n = 4 to pproximte 5 1 x e x dx. Some quick

More information

1 The Riemann Integral

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

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019 ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS MATH00030 SEMESTER 208/209 DR. ANTHONY BROWN 7.. Introduction to Integrtion. 7. Integrl Clculus As ws the cse with the chpter on differentil

More information

Math 113 Exam 1-Review

Math 113 Exam 1-Review Mth 113 Exm 1-Review September 26, 2016 Exm 1 covers 6.1-7.3 in the textbook. It is dvisble to lso review the mteril from 5.3 nd 5.5 s this will be helpful in solving some of the problems. 6.1 Are Between

More information

Lecture 0. MATH REVIEW for ECE : LINEAR CIRCUIT ANALYSIS II

Lecture 0. MATH REVIEW for ECE : LINEAR CIRCUIT ANALYSIS II Lecture 0 MATH REVIEW for ECE 000 : LINEAR CIRCUIT ANALYSIS II Aung Kyi Sn Grdute Lecturer School of Electricl nd Computer Engineering Purdue University Summer 014 Lecture 0 : Mth Review Lecture 0 is intended

More information

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b

More information

THE DISCRIMINANT & ITS APPLICATIONS

THE DISCRIMINANT & ITS APPLICATIONS THE DISCRIMINANT & ITS APPLICATIONS The discriminnt ( Δ ) is the epression tht is locted under the squre root sign in the qudrtic formul i.e. Δ b c. For emple: Given +, Δ () ( )() The discriminnt is used

More information

Thomas Whitham Sixth Form

Thomas Whitham Sixth Form Thoms Whithm Sith Form Pure Mthemtics Unit C Alger Trigonometry Geometry Clculus Vectors Trigonometry Compound ngle formule sin sin cos cos Pge A B sin Acos B cos Asin B A B sin Acos B cos Asin B A B cos

More information

Introduction and Review

Introduction and Review Chpter 6A Notes Pge of Introuction n Review Derivtives y = f(x) y x = f (x) Evlute erivtive t x = : y = x x= f f(+h) f() () = lim h h Geometric Interprettion: see figure slope of the line tngent to f t

More information

MA 124 January 18, Derivatives are. Integrals are.

MA 124 January 18, Derivatives are. Integrals are. MA 124 Jnury 18, 2018 Prof PB s one-minute introduction to clculus Derivtives re. Integrls re. In Clculus 1, we lern limits, derivtives, some pplictions of derivtives, indefinite integrls, definite integrls,

More information

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

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

More information

Calculus II: Integrations and Series

Calculus II: Integrations and Series Clculus II: Integrtions nd Series August 7, 200 Integrls Suppose we hve generl function y = f(x) For simplicity, let f(x) > 0 nd f(x) continuous Denote F (x) = re under the grph of f in the intervl [,x]

More information

Math Bootcamp 2012 Calculus Refresher

Math Bootcamp 2012 Calculus Refresher Mth Bootcmp 0 Clculus Refresher Exponents For ny rel number x, the powers of x re : x 0 =, x = x, x = x x, etc. Powers re lso clled exponents. Remrk: 0 0 is indeterminte. Frctionl exponents re lso clled

More information

AQA Further Pure 2. Hyperbolic Functions. Section 2: The inverse hyperbolic functions

AQA Further Pure 2. Hyperbolic Functions. Section 2: The inverse hyperbolic functions Hperbolic Functions Section : The inverse hperbolic functions Notes nd Emples These notes contin subsections on The inverse hperbolic functions Integrtion using the inverse hperbolic functions Logrithmic

More information

c n φ n (x), 0 < x < L, (1) n=1

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

More information

Improper Integrals, and Differential Equations

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

More information

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

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

More information

INTRODUCTION TO INTEGRATION

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

More information

38 Riemann sums and existence of the definite integral.

38 Riemann sums and existence of the definite integral. 38 Riemnn sums nd existence of the definite integrl. In the clcultion of the re of the region X bounded by the grph of g(x) = x 2, the x-xis nd 0 x b, two sums ppered: ( n (k 1) 2) b 3 n 3 re(x) ( n These

More information

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1 3 9. SEQUENCES AND SERIES 63. Representtion of functions s power series Consider power series x 2 + x 4 x 6 + x 8 + = ( ) n x 2n It is geometric series with q = x 2 nd therefore it converges for ll q =

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

Math 190 Chapter 5 Lecture Notes. Professor Miguel Ornelas

Math 190 Chapter 5 Lecture Notes. Professor Miguel Ornelas Mth 19 Chpter 5 Lecture Notes Professor Miguel Ornels 1 M. Ornels Mth 19 Lecture Notes Section 5.1 Section 5.1 Ares nd Distnce Definition The re A of the region S tht lies under the grph of the continuous

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

Introduction To Matrices MCV 4UI Assignment #1

Introduction To Matrices MCV 4UI Assignment #1 Introduction To Mtrices MCV UI Assignment # INTRODUCTION: A mtrix plurl: mtrices) is rectngulr rry of numbers rrnged in rows nd columns Exmples: ) b) c) [ ] d) Ech number ppering in the rry is sid to be

More information

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

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

More information

Functions of Several Variables

Functions of Several Variables Functions of Severl Vribles Sketching Level Curves Sections Prtil Derivtives on every open set on which f nd the prtils, 2 f y = 2 f y re continuous. Norml Vector x, y, 2 f y, 2 f y n = ± (x 0,y 0) (x

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

PHYSICS 116C Homework 4 Solutions

PHYSICS 116C Homework 4 Solutions PHYSICS 116C Homework 4 Solutions 1. ( Simple hrmonic oscilltor. Clerly the eqution is of the Sturm-Liouville (SL form with λ = n 2, A(x = 1, B(x =, w(x = 1. Legendre s eqution. Clerly the eqution is of

More information

Mathematics for economists

Mathematics for economists Mthemtics for economists Peter Jochumzen September 26, 2016 Contents 1 Logic 3 2 Set theory 4 3 Rel number system: Axioms 4 4 Rel number system: Definitions 5 5 Rel numbers: Results 5 6 Rel numbers: Powers

More information

Elements of Matrix Algebra

Elements of Matrix Algebra Elements of Mtrix Algebr Klus Neusser Kurt Schmidheiny September 30, 2015 Contents 1 Definitions 2 2 Mtrix opertions 3 3 Rnk of Mtrix 5 4 Specil Functions of Qudrtic Mtrices 6 4.1 Trce of Mtrix.........................

More information