f = ae b e , i.e., ru + P = (r + P )(u + P ) = (s + P )(t + P ) = st + P. Then since ru st P and su P we conclude that r s t u = ru st

Size: px
Start display at page:

Download "f = ae b e , i.e., ru + P = (r + P )(u + P ) = (s + P )(t + P ) = st + P. Then since ru st P and su P we conclude that r s t u = ru st"

Transcription

1 Mth 662 Spring 204 Homewor 2 Drew Armstrong Problem 0. (Drwing Pictures) The eqution y 2 = x 3 x defines curve in the complex plne C 2. Wht does it loo lie? Unfortuntely we cn only see rel things, so we substitute x = + ib nd y = c + id with, b, c, d R. Equting rel nd imginry prts then gives us two simultneous equtions: () (2) 3 3b = c 2 d 2, b 3 + b 3 2 b = 2cd. These equtions define rel 2-dimensionl surfce in rel 4-dimensionl spce R 4 = C 2. Unfortuntely we cn only see 3-dimensionl spce so we will interpret the b coordinte s time. Setch the curve in rel (, c, d)-spce t time b = 0. [Hint: It will loo -dimensionl to you.] Cn you imgine wht it loos lie t other times b? At time b = 0 eqution (2) becomes 0 = cd which implies tht c = 0 or d = 0. When d = 0 eqution () becomes 3 = c 2. This is curve in the (, c)-plne which we setched on HW. When c = 0 eqution () becomes 3 = d 2, or ( ) 3 ( ) = d 2. This curve lives in the (, d)-plne. It loos just lie the curve in the (, c)-plne but it is reflected cross the (c, d)-plne nd rotted 90. The full solution is the disjoint union of these two:

2 It loos lie four circles glued together in chin. If you cn imgine, the two outer circles meet t the point t infinity, nd the four circles together form the seleton of torus. The other times sweep out the surfce of the torus. For exmple, here I hve plotted the curves in (, c, d)-spce for b {.5,.4,.3,.2,., 0,.,.2,.3,.4,.5}: Problem. (Locl Rings) Let R be ring. We sy R is locl if it contins unique (nontrivil) mximl idel. () Prove tht R is locl if nd only if its set of non-units is n idel. (b) Given prime idel P R, prove tht the locliztion { } R P := b :, b R, b P is locl ring. [Hint: The mximl idel is clled P R P.] (c) Consider prime idel P R. By prt (b) we cn define the residue field R P /P R P. Prove tht we hve n isomorphism of fields: Frc(R/P ) R P /P R P. Proof. For prt (), let M R denote the set of non-units. Note tht M R becuse M. First we ssume tht M is n idel. In this cse, let I R be ny idel of R not contined in M. Then by definition I contins unit nd hence I = R. (If u I is unit then u I nd u R imply = uu I. Then for ll r R we hve r = r I.) We conclude tht M is the unique mximl idel of R, hence R is locl. Conversely, ssume tht R is locl with unique mximl idel m < R. Since m R we now tht m contins no units, hence m M. On the other hnd, we will show tht M m. Suppose for contrdiction tht there exists x M with x m. Since x m nd R/m is field (m is mximl) there exists y R such tht xy + m = (x + m)(y + m) = + m. This implies tht xy = + for some m. But then + m since otherwise = (+) is in m (this is contrdiction becuse m R). Hence the idel (xy) = (+) strictly contins m nd since m is mximl this implies (xy) = R. We conclude tht xy is unit, hence x is unit: x(y(xy) ) = (xy)(xy) =. This contrdicts the fct tht x M nd we conclude tht M = m is n idel.

3 [Remr: I could hve given shorter proof of M m s follows. Consider ny x M. Since (x) < R is proper idel, it is contined in some proper mximl idel, hence (x) m. We conclude tht x m. But this rgument implicitly uses the Axiom of Choice. The proof I gve bove shows tht the Axiom of Choice is not necessry.] For prt (b), let P R be prime nd consider the locliztion { } R P := b :, b R, b P. I will show tht the nonunits of R P form n idel. We cn thin of R P s subring of Frc(R). Let b R P. Since b 0 this frction hs inverse b Frc(R). This inverse will be in R P if nd only if P. In other words, b R P is nonunit if nd only if P. Let { } P R P := b :, b R, P, b P denote the set of nonunits. This is n idel becuse given b, c d P R P nd e f R P (i.e. with, c, e P nd b, d, f P ) we hve b c d bc = P R P d bd becuse d bc P nd bd P, nd b e f = e bf P R P becuse e P nd bf P. We conclude tht R P is locl with mximl idel P R P. For prt (c), note tht R P /P R P is field becuse P R P < R P is mximl idel. Note lso tht R/P is domin becuse P < R is prime idel, thus we cn form the field of frctions Frc(R/P ). I clim tht these two fields re isomorphic. To see this, note first tht s + P 0 + P implies s P. Thus we cn define mp from Frc(R/P ) to R P /P R P by (3) r + P s + P r s + P R P. To see tht this is well-defined, consider s, u P nd suppose tht r+p s+p = t+p u+p, i.e., ru + P = (r + P )(u + P ) = (s + P )(t + P ) = st + P. Then since ru st P nd su P we conclude tht r s t u = ru st su P R P. It is esy to see tht the mp is surjective ring homomorphism (detils omitted). Finlly we will show tht the mp is injective by showing tht the ernel is trivil. Consider r s R P (i.e. with s P ) nd suppose tht r s + P R P = P R P, i.e., tht r s P R P. This mens tht r P nd hence r+p s+p is the zero element of Frc(R/P ). We conclude tht Frc(R/P ) R P /P R P. Problem 2. (Forml Power Series) Let K be field nd consider the ring of forml power series: K[[x]] := { 0 + x + 2 x x 3 + : i K for ll i N }. The degree of power series does not necessrily exist. However, for ll nonzero f(x) = x we cn define the order ord(f) := the minimum such tht 0. () Prove tht K[[x]] is domin.

4 (b) Prove tht K[[x]] is Eucliden domin with norm function ord : K[[x]] {0} N. (You cn define ord(0) = if you wnt.) [Hint: Given f, g K[[x]] we hve f g if nd only if ord(f) ord(g), so the reminder is lwys zero.] (c) Prove tht the units of K[[x]] re just the power series with nonzero constnt term. (d) Conclude tht K[[x]] is locl ring. (e) Prove tht Frc (K[[x]]) is isomorphic to the ring of forml Lurent series: K((x)) := { n x n + n+ x n+ + n+2 x n+2 + : i K for ll i n }. Proof. Given power series f(x) = x nd g(x) = l b lx l recll tht the coefficient of x m in f(x)g(x) is given by +l=m b l. I clim tht ord(fg) = ord(f) + ord(g). Indeed, if m < ord(f)+ord(g) then +l = m implies tht either < ord(f) or l < ord(g) (otherwise we hve +l ord(f)+ord(g) > m). Thus every term in the sum +l=m b l is zero. However, if m = ord(f)+ord(g) then the coefficient of x m in f(x)g(x) is +l=m b l = ord(f) b ord(g) 0 becuse ord(f) 0 nd b ord(g) 0 by ssumption (nd K is domin). We conclude tht ord(fg) = ord(f) + ord(g). For prt (), ssume tht f, g K[[x]] re nonzero. This implies tht ord(f), ord(g) < nd hence ord(fg) = ord(f) + ord(g) <. We conclude tht K[[x]] is domin. For prt (b), consider f(x) = x nd g(x) = l b lx l with g 0 (i.e. with ord(g) < ).We wnt to prove tht there exist q, r K[[x]] with f = qg + r nd either r = 0 or ord(r) < ord(g). Indeed, if ord(f) < ord(g) then we cn simply te q(x) = 0 nd r(x) = f(x). If ord(f) ord(g) then we cn perform long division s follows. Let b be the lowest coefficient of g(x). Then let f = f nd for ll n such tht f n 0 define f n+ (x) := f n (x) n b xord(fn) ord(g) g(x). where n is the lowest coefficient of f n (x). By construction we hve ord(g) ord(f ) < ord(f 2 ) < ord(f 3 ) < so this is lwys defined. If the lgorithm termintes with f N = 0 then we set n = 0 for ll n N, otherwise we let the lgorithm run forever (i.e. use induction). In the end we obtin forml power series q(x) := n b xord(fn) ord(g) n with the property tht f(x) = q(x)g(x) (the reminder is lwys zero!). This proves tht K[[x]] is Eucliden. [Probbly proof by exmple would hve been better, but I didn t feel lie typesetting n infinite long division in L A TEX. I encourge you to compute n exmple yourself.] In the proof of (b) note tht we ctully showed tht given two power series f, g K[[x]] we hve g f if nd only if ord(g) ord(f). For prt (c), note tht g K[[x]] is unit if nd only if g divides. By the bove remr this hppens if nd only if ord(g) ord() = 0, i.e., if nd only if ord(g) = 0. Finlly, note tht ord(g) = 0 if nd only if g hs nonzero constnt term. For prt (d), note tht the set of nonunits of K[[x]] re just the power series with zero constnt term, i.e., the power series divisible by x: (x) := {xf(x) : f(x) K[[x]]}. Since this is n idel we conclude tht K[[x]] is locl ring. For prt (e), we sy tht f(x) = x is forml Lurent series if there exists minimum r Z (possibly negtive) such tht r 0. In this cse we define ord(f) = r. Let K((x)) denote the ring of forml Lurent series with ddition nd multipliction defined just s for power series. Then K[[x]] K((x)) is the subring or Lurent series with nonnegtive order.

5 I clim tht K((x)) is field. Indeed, given ny two Lurent series f, g K((x)) with g 0, the long division process defined bove cn be used to obtin q(x) K((x)) such tht f(x) = q(x)g(x). We we do not require ord(g) ord(f). In fct, becuse ord(q) = ord(f) ord(g) we will hve q K[[x]] if nd only if ord(g) ord(f). If f(x) = then we obtin q(x) = g(x). Since K((x)) is field contining K[[x]] we cn identify Frc(K[[x]]) with the subfield of K((x)) consisting of elements of the form f(x)g(x) for f, g K[[x]] with g 0. But note tht every Lurent series f(x) K((x)) hs this form. Indeed, if ord(f) 0 then f(x) = f(x)() Frc(K[[x]]) nd if ord(f) < 0 then f(x) = (x ord(f) f(x))(x ord(f) ) Frc(K[[x]]) becuse x ord(f) f(x) nd x ord(f) re in K[[x]]. We conclude tht Frc(K[[x]]) = K((x)). [As you my now, ny function f : C C holomorphic in n nnulus hs convergent Lurent series expnsion there. This mes complex nlysis very lgebric subject.] Problem 3. (Prtil Frction Expnsion) To wht extent cn we un-dd frctions? Let R be PID. Consider, b R with b = p e pe 2 2 pe where p,..., p re distinct primes nd e,..., e. () Prove tht there exist,..., R such tht b = p e + 2 p e p e [Hint: First prove it when b = pq with p, q coprime. Use Bézout.] Now ssume tht R is Eucliden domin with norm function N : R {0} N. (b) Prove tht there exist c, r ij R such tht b = c + e i r ij i= j= where for ll i, j we hve either r ij = 0 or N(r ij ) < N(p i ). [Hint: If p is prime, prove tht we cn write p s where either r = 0 or N(r) < N(p). Then use ().] e q p e + r p e Now suppose tht the norm function stisfies N() N(b) nd N( b) mx{n(), N(b)} for ll, b R {0}. (c) Prove tht the prtil frction expnsion from prt (b) is unique. [Hint: Suppose we hve two expnsions c + e i r ij i= j= = b = c + Then we get prtil frction expnsion of zero: 0 b = = (c c ) + b, e i r ij i= j= e i (r ij r ij ). i= j=.

6 For ll i, j define ˆb ij := b/, so tht b(c c) = e i i= j= (r ij r ij)ˆb ij. Suppose for contrdiction tht there exist i, j such tht r ij r ij nd let j be mximl with this property. Use the lst eqution bove to show tht p i divides (r ij r ij ) nd hence N(p i ) N(r ij r ij) mx{n(r ij ), N(r ij)} < N(p i ). Contrdiction.] (d) If K is field nd R = K[x] then the norm function N(f) = deg(f) stisfies the hypotheses of prt (c) so the expnsion is unique. Compute the unique expnsion of x 5 + x + (x + ) 2 (x 2 + ) R(x). (e) If R = Z then the norm function N() = does not stisfy b mx{, b }. However, if we require reminders r, r to be nonnegtive then it is true tht r r mx{ r, r } nd the proof of uniqueness in (c) still goes through. Compute the unique expnsion of 77 2 Q with nonnegtive prmeters r ij 0. Proof. Consider, b R with b = p e pe where p,..., p re distinct primes nd e,..., e. For prt (), note tht since R is PID we must hve (p e, pe 2 2 pe ) = (d) where d is the gretest common divisor. Since p e nd p e 2 2 pe re coprime this implies tht d =, nd hence there exist c, c 2 R such tht Multiplying both sides by b gives = c p e 2 2 pe + c 2 p e. b = c p e + c 2 p e 2 2. pe Now the result follows by induction. For prt (b), let R be Eucliden nd suppose tht we hve written b = p e + + p e. Now consider ny p with, p R nd p prime. We cn divide by p to obtin q, r R such e tht = pq + r nd either r = 0 or N(r) < N(p). In other words, we hve p e = qp + r p e = q p e + r p e where either r = 0 or N(r) < N(p). By induction we obtin p e = q p 0 + r p + r 2 p r e p e, where for ll i we hve r i = 0 or N(r i ) < N(p). Then, combining these expressions for ech summnd i p e i of b gives i b = c + e i r ij i= j= where for ll i, j we hve r ij = 0 or N(r ij ) < N(p i ). This is clled prtil frction expnsion of b.,

7 For prt (c), suppose tht the Eucliden norm stisfies N() N(b) nd N( b) mx{n(), N(b)} for ll, b R {0}, nd suppose we hve two prtil frction expnsions c + e i r ij i= j= = b = c + e i r ij i= j= I clim tht r ij = r ij for ll i, j (nd hence lso c = c ). To see this, we subtrct the expnsions: 0 = (c c) + Then we multiply both sides by b to get b(c c ) = e i (r ij r ij ) i= j= e i (r ij r ij)ˆb ij, i= j= where ˆb ij := b/ R. Now ssume for contrdiction tht we hve r mn r mn for some m, n nd let n be mximl with this property. Tht is, suppose tht we lso hve r mj = r mj for ll j > n. In this cse, note tht pem n m divides ˆb ij for every nonzero term in the sum, thus since R is domin we cn cncel it to get (4) b (c c ) = where b = p e pn m p e nd ˆb ij = e i (r ij r ij)ˆb ij, i= j= p e pe i j i p n m p e i < m p e pe i j i p n m p e i > m p e pn j m p e i = m, j n 0 i = m, j > n Finlly, note tht p m divides (r mn r mn)ˆb mn becuse p m divides every other term of the sum (4). Since p m is prime, Euclid sys tht p m (r mn r mn) or p m ˆb mn. But by definition we now tht p m does not divide ˆb mn. We conclude tht p m divides r mn r mn nd then the ssumed properties of the norm imply tht N(p m ) N(r mn r mn) mx { N(r mn ), N(r mn) } < N(p m ). Contrdiction. For prts (d) nd (e) I will nively follow the steps of the proof. I will not use ny trics lie differentition. (You cn get the solution fster with trics.) For prt (d) we first loo for polynomils f(x) nd g(x) such tht = f(x)(x + ) 2 + g(x)(x 2 + ). For this we consider the set of triples f, g, h R[x] with f(x)(x + ) 2 + g(x)(x 2 + ) = h(x) nd pply row reduction: f(x) g(x) h(x) 0 (x + ) 2 0 x 2 + 2x x/2 + x/2.

8 We conclude tht ( x/2)(x + ) 2 + ( + x/2)(x 2 + ) = nd hence (x + ) 2 (x 2 + ) = ( x/2)(x + )2 + ( + x/2)(x 2 + ) (x + ) 2 (x 2 + ) = x/2 x x/2 (x + ) 2. Multiplying both sides by x 5 + x + gives x 5 + x + (x + ) 2 (x 2 + ) = 2 (x6 + x 2 + x) x (x6 + 2x 5 + x 2 + 3x + 2) (x + ) 2. Now we del with both of the summnds seprtely. First we divide 2 (x6 +x 2 +x) by x 2 + to get hence 2 (x6 + x 2 + x) = 2 (x4 x 2 + 2)(x 2 + ) (x 2), 2 2 (x6 + x 2 + x) x 2 + = 2 (x4 x 2 + 2) + 2 (x 2) (x 2 + ). Next we divide 2 (x6 + 2x 5 + x 2 + 3x + 2) by (x + ) to get hence 2 (x6 + 2x 5 + x 2 + 3x + 2) = 2 (x5 + x 4 x 3 + x 2 + 3)(x + ) 2, 2 (x6 + 2x 5 + x 2 + 3x + 2) (x + ) 2 = Finlly, we divide 2 (x5 + x 4 x 3 + x 2 + 3) by (x + ) to get hence 2 (x5 + x 4 x 3 + x 2 + 3) + /2 (x + ) (x + ) 2. 2 (x5 + x 4 x 3 + x 2 + 3) = 2 (x4 x 2 + 2x 2)(x + ) + 5, Putting everything together gives 2 (x5 + x 4 x 3 + x 2 + 3) = (x + ) 2 (x4 x 2 + 2x 2) + 5/2 (x + ). x 5 + x + 5/2 (x + ) 2 (x 2 = (x 2) + + ) (x + ) + /2 (x 2)/2 + (x + ) 2 (x 2. + ) [By doing everything out longhnd I ment to show tht it is possible, not tht it is esy.] For prt (e) we first fctor 2 = 3 4 with 3, 4 coprime. Now we loo for x, y Z with 3x + 4y =. This cn be done by inspection: = 3( ) + 4 [If it couldn t be done by inspection we would use the Eucliden lgorithm.] Dividing by 2 gives 2 = 3( ) + 4 = , nd then multiplying by 77 gives 77 2 =

9 Now we del with both of the summnds seprtely. First we divide 77 by 3 to get Then we divide 77 by 2 to get Finlly, we divide 39 by 2 to get Putting everything together gives 77 = = = 2( 39) = = 2( 20) + 39 = = This result is unique s long s we use positive reminders. [Why did I s you to do this? Becuse I lwys wondered bout prtil frctions. They pper in Clculus to show us tht ll rtionl functions over R cn be integrted in elementry terms. For exmple: x 5 + x + (x + ) 2 (x 2 + ) dx = 2 x2 2x ln(x + ) 2(x + ) 4 ln(x2 + ) + rctn(x). But then prtil frctions mysteriously dispper from the curriculum. Now t lest we now why.]

MATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35

MATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35 MATH 101A: ALGEBRA I PART B: RINGS AND MODULES 35 9. Modules over PID This week we re proving the fundmentl theorem for finitely generted modules over PID, nmely tht they re ll direct sums of cyclic modules.

More information

(e) if x = y + z and a divides any two of the integers x, y, or z, then a divides the remaining integer

(e) if x = y + z and a divides any two of the integers x, y, or z, then a divides the remaining integer Divisibility In this note we introduce the notion of divisibility for two integers nd b then we discuss the division lgorithm. First we give forml definition nd note some properties of the division opertion.

More information

p-adic Egyptian Fractions

p-adic Egyptian Fractions p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction

More information

Math 4310 Solutions to homework 1 Due 9/1/16

Math 4310 Solutions to homework 1 Due 9/1/16 Mth 4310 Solutions to homework 1 Due 9/1/16 1. Use the Eucliden lgorithm to find the following gretest common divisors. () gcd(252, 180) = 36 (b) gcd(513, 187) = 1 (c) gcd(7684, 4148) = 68 252 = 180 1

More information

Summary: Method of Separation of Variables

Summary: Method of Separation of Variables Physics 246 Electricity nd Mgnetism I, Fll 26, Lecture 22 1 Summry: Method of Seprtion of Vribles 1. Seprtion of Vribles in Crtesin Coordintes 2. Fourier Series Suggested Reding: Griffiths: Chpter 3, Section

More information

set is not closed under matrix [ multiplication, ] and does not form a group.

set is not closed under matrix [ multiplication, ] and does not form a group. Prolem 2.3: Which of the following collections of 2 2 mtrices with rel entries form groups under [ mtrix ] multipliction? i) Those of the form for which c d 2 Answer: The set of such mtrices is not closed

More information

MTH 505: Number Theory Spring 2017

MTH 505: Number Theory Spring 2017 MTH 505: Numer Theory Spring 207 Homework 2 Drew Armstrong The Froenius Coin Prolem. Consider the eqution x ` y c where,, c, x, y re nturl numers. We cn think of $ nd $ s two denomintions of coins nd $c

More information

PARTIAL FRACTION DECOMPOSITION

PARTIAL FRACTION DECOMPOSITION PARTIAL FRACTION DECOMPOSITION LARRY SUSANKA 1. Fcts bout Polynomils nd Nottion We must ssemble some tools nd nottion to prove the existence of the stndrd prtil frction decomposition, used s n integrtion

More information

Integral points on the rational curve

Integral points on the rational curve Integrl points on the rtionl curve y x bx c x ;, b, c integers. Konstntine Zeltor Mthemtics University of Wisconsin - Mrinette 750 W. Byshore Street Mrinette, WI 5443-453 Also: Konstntine Zeltor P.O. Box

More information

Best Approximation in the 2-norm

Best Approximation in the 2-norm Jim Lmbers MAT 77 Fll Semester 1-11 Lecture 1 Notes These notes correspond to Sections 9. nd 9.3 in the text. Best Approximtion in the -norm Suppose tht we wish to obtin function f n (x) tht is liner combintion

More information

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying Vitli covers 1 Definition. A Vitli cover of set E R is set V of closed intervls with positive length so tht, for every δ > 0 nd every x E, there is some I V with λ(i ) < δ nd x I. 2 Lemm (Vitli covering)

More information

Bases for Vector Spaces

Bases for Vector Spaces Bses for Vector Spces 2-26-25 A set is independent if, roughly speking, there is no redundncy in the set: You cn t uild ny vector in the set s liner comintion of the others A set spns if you cn uild everything

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

HW3, Math 307. CSUF. Spring 2007.

HW3, Math 307. CSUF. Spring 2007. HW, Mth 7. CSUF. Spring 7. Nsser M. Abbsi Spring 7 Compiled on November 5, 8 t 8:8m public Contents Section.6, problem Section.6, problem Section.6, problem 5 Section.6, problem 7 6 5 Section.6, problem

More information

Math 61CM - Solutions to homework 9

Math 61CM - Solutions to homework 9 Mth 61CM - Solutions to homework 9 Cédric De Groote November 30 th, 2018 Problem 1: Recll tht the left limit of function f t point c is defined s follows: lim f(x) = l x c if for ny > 0 there exists δ

More 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

Lecture 3. Limits of Functions and Continuity

Lecture 3. Limits of Functions and Continuity Lecture 3 Limits of Functions nd Continuity Audrey Terrs April 26, 21 1 Limits of Functions Notes I m skipping the lst section of Chpter 6 of Lng; the section bout open nd closed sets We cn probbly live

More information

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

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

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral Improper Integrls Every time tht we hve evluted definite integrl such s f(x) dx, we hve mde two implicit ssumptions bout the integrl:. The intervl [, b] is finite, nd. f(x) is continuous on [, b]. If one

More information

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 UNIFORM CONVERGENCE Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3 Suppose f n : Ω R or f n : Ω C is sequence of rel or complex functions, nd f n f s n in some sense. Furthermore,

More information

4. Calculus of Variations

4. Calculus of Variations 4. Clculus of Vritions Introduction - Typicl Problems The clculus of vritions generlises the theory of mxim nd minim. Exmple (): Shortest distnce between two points. On given surfce (e.g. plne), nd the

More information

Math Solutions to homework 1

Math Solutions to homework 1 Mth 75 - Solutions to homework Cédric De Groote October 5, 07 Problem, prt : This problem explores the reltionship between norms nd inner products Let X be rel vector spce ) Suppose tht is norm on X tht

More information

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1

Exam 2, Mathematics 4701, Section ETY6 6:05 pm 7:40 pm, March 31, 2016, IH-1105 Instructor: Attila Máté 1 Exm, Mthemtics 471, Section ETY6 6:5 pm 7:4 pm, Mrch 1, 16, IH-115 Instructor: Attil Máté 1 17 copies 1. ) Stte the usul sufficient condition for the fixed-point itertion to converge when solving the eqution

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

Farey Fractions. Rickard Fernström. U.U.D.M. Project Report 2017:24. Department of Mathematics Uppsala University

Farey Fractions. Rickard Fernström. U.U.D.M. Project Report 2017:24. Department of Mathematics Uppsala University U.U.D.M. Project Report 07:4 Frey Frctions Rickrd Fernström Exmensrete i mtemtik, 5 hp Hledre: Andres Strömergsson Exmintor: Jörgen Östensson Juni 07 Deprtment of Mthemtics Uppsl University Frey Frctions

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

Quadratic Forms. Quadratic Forms

Quadratic Forms. Quadratic Forms Qudrtic Forms Recll the Simon & Blume excerpt from n erlier lecture which sid tht the min tsk of clculus is to pproximte nonliner functions with liner functions. It s ctully more ccurte to sy tht we pproximte

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More 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

Math 554 Integration

Math 554 Integration Mth 554 Integrtion Hndout #9 4/12/96 Defn. A collection of n + 1 distinct points of the intervl [, b] P := {x 0 = < x 1 < < x i 1 < x i < < b =: x n } is clled prtition of the intervl. In this cse, we

More information

If deg(num) deg(denom), then we should use long-division of polynomials to rewrite: p(x) = s(x) + r(x) q(x), q(x)

If deg(num) deg(denom), then we should use long-division of polynomials to rewrite: p(x) = s(x) + r(x) q(x), q(x) Mth 50 The method of prtil frction decomposition (PFD is used to integrte some rtionl functions of the form p(x, where p/q is in lowest terms nd deg(num < deg(denom. q(x If deg(num deg(denom, then we should

More information

MATH 573 FINAL EXAM. May 30, 2007

MATH 573 FINAL EXAM. May 30, 2007 MATH 573 FINAL EXAM My 30, 007 NAME: Solutions 1. This exm is due Wednesdy, June 6 efore the 1:30 pm. After 1:30 pm I will NOT ccept the exm.. This exm hs 1 pges including this cover. There re 10 prolems.

More information

Lecture 19: Continuous Least Squares Approximation

Lecture 19: Continuous Least Squares Approximation Lecture 19: Continuous Lest Squres Approximtion 33 Continuous lest squres pproximtion We begn 31 with the problem of pproximting some f C[, b] with polynomil p P n t the discrete points x, x 1,, x m for

More information

8 Laplace s Method and Local Limit Theorems

8 Laplace s Method and Local Limit Theorems 8 Lplce s Method nd Locl Limit Theorems 8. Fourier Anlysis in Higher DImensions Most of the theorems of Fourier nlysis tht we hve proved hve nturl generliztions to higher dimensions, nd these cn be proved

More 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

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as Improper Integrls Two different types of integrls cn qulify s improper. The first type of improper integrl (which we will refer to s Type I) involves evluting n integrl over n infinite region. In the grph

More information

Math 118: Honours Calculus II Winter, 2005 List of Theorems. L(P, f) U(Q, f). f exists for each ǫ > 0 there exists a partition P of [a, b] such that

Math 118: Honours Calculus II Winter, 2005 List of Theorems. L(P, f) U(Q, f). f exists for each ǫ > 0 there exists a partition P of [a, b] such that Mth 118: Honours Clculus II Winter, 2005 List of Theorems Lemm 5.1 (Prtition Refinement): If P nd Q re prtitions of [, b] such tht Q P, then L(P, f) L(Q, f) U(Q, f) U(P, f). Lemm 5.2 (Upper Sums Bound

More information

Chapter 5. , r = r 1 r 2 (1) µ = m 1 m 2. r, r 2 = R µ m 2. R(m 1 + m 2 ) + m 2 r = r 1. m 2. r = r 1. R + µ m 1

Chapter 5. , r = r 1 r 2 (1) µ = m 1 m 2. r, r 2 = R µ m 2. R(m 1 + m 2 ) + m 2 r = r 1. m 2. r = r 1. R + µ m 1 Tor Kjellsson Stockholm University Chpter 5 5. Strting with the following informtion: R = m r + m r m + m, r = r r we wnt to derive: µ = m m m + m r = R + µ m r, r = R µ m r 3 = µ m R + r, = µ m R r. 4

More information

Anonymous Math 361: Homework 5. x i = 1 (1 u i )

Anonymous Math 361: Homework 5. x i = 1 (1 u i ) Anonymous Mth 36: Homewor 5 Rudin. Let I be the set of ll u (u,..., u ) R with u i for ll i; let Q be the set of ll x (x,..., x ) R with x i, x i. (I is the unit cube; Q is the stndrd simplex in R ). Define

More information

AQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system

AQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system Complex Numbers Section 1: Introduction to Complex Numbers Notes nd Exmples These notes contin subsections on The number system Adding nd subtrcting complex numbers Multiplying complex numbers Complex

More information

Is there an easy way to find examples of such triples? Why yes! Just look at an ordinary multiplication table to find them!

Is there an easy way to find examples of such triples? Why yes! Just look at an ordinary multiplication table to find them! PUSHING PYTHAGORAS 009 Jmes Tnton A triple of integers ( bc,, ) is clled Pythgoren triple if exmple, some clssic triples re ( 3,4,5 ), ( 5,1,13 ), ( ) fond of ( 0,1,9 ) nd ( 119,10,169 ). + b = c. For

More information

Stuff You Need to Know From Calculus

Stuff You Need to Know From Calculus Stuff You Need to Know From Clculus For the first time in the semester, the stuff we re doing is finlly going to look like clculus (with vector slnt, of course). This mens tht in order to succeed, you

More information

13.3 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS

13.3 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS 33 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS As simple ppliction of the results we hve obtined on lgebric extensions, nd in prticulr on the multiplictivity of extension degrees, we cn nswer (in

More information

Lecture 1. Functional series. Pointwise and uniform convergence.

Lecture 1. Functional series. Pointwise and uniform convergence. 1 Introduction. Lecture 1. Functionl series. Pointwise nd uniform convergence. In this course we study mongst other things Fourier series. The Fourier series for periodic function f(x) with period 2π is

More information

THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS. Circa 1870, G. Zolotarev observed that the Legendre symbol ( a p

THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS. Circa 1870, G. Zolotarev observed that the Legendre symbol ( a p THE QUADRATIC RECIPROCITY LAW OF DUKE-HOPKINS PETE L CLARK Circ 1870, Zolotrev observed tht the Legendre symbol ( p ) cn be interpreted s the sign of multipliction by viewed s permuttion of the set Z/pZ

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

p(t) dt + i 1 re it ireit dt =

p(t) dt + i 1 re it ireit dt = Note: This mteril is contined in Kreyszig, Chpter 13. Complex integrtion We will define integrls of complex functions long curves in C. (This is bit similr to [relvlued] line integrls P dx + Q dy in R2.)

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

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

SOLUTIONS FOR ANALYSIS QUALIFYING EXAM, FALL (1 + µ(f n )) f(x) =. But we don t need the exact bound.) Set

SOLUTIONS FOR ANALYSIS QUALIFYING EXAM, FALL (1 + µ(f n )) f(x) =. But we don t need the exact bound.) Set SOLUTIONS FOR ANALYSIS QUALIFYING EXAM, FALL 28 Nottion: N {, 2, 3,...}. (Tht is, N.. Let (X, M be mesurble spce with σ-finite positive mesure µ. Prove tht there is finite positive mesure ν on (X, M such

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

Riemann Sums and Riemann Integrals

Riemann Sums and Riemann Integrals Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 203 Outline Riemnn Sums Riemnn Integrls Properties Abstrct

More 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

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1 The Fundmentl Theorem of Clculus As we continue to study the re problem, let s think bck to wht we know bout computing res of regions enclosed by curves. If we wnt to find the re of the region below the

More information

IN GAUSSIAN INTEGERS X 3 + Y 3 = Z 3 HAS ONLY TRIVIAL SOLUTIONS A NEW APPROACH

IN GAUSSIAN INTEGERS X 3 + Y 3 = Z 3 HAS ONLY TRIVIAL SOLUTIONS A NEW APPROACH INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 8 (2008), #A2 IN GAUSSIAN INTEGERS X + Y = Z HAS ONLY TRIVIAL SOLUTIONS A NEW APPROACH Elis Lmpkis Lmpropoulou (Term), Kiprissi, T.K: 24500,

More information

Riemann Sums and Riemann Integrals

Riemann Sums and Riemann Integrals Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 2013 Outline 1 Riemnn Sums 2 Riemnn Integrls 3 Properties

More information

DISCRETE MATHEMATICS HOMEWORK 3 SOLUTIONS

DISCRETE MATHEMATICS HOMEWORK 3 SOLUTIONS DISCRETE MATHEMATICS 21228 HOMEWORK 3 SOLUTIONS JC Due in clss Wednesdy September 17. You my collborte but must write up your solutions by yourself. Lte homework will not be ccepted. Homework must either

More information

Infinite Geometric Series

Infinite Geometric Series Infinite Geometric Series Finite Geometric Series ( finite SUM) Let 0 < r < 1, nd let n be positive integer. Consider the finite sum It turns out there is simple lgebric expression tht is equivlent to

More information

Math 120 Answers for Homework 13

Math 120 Answers for Homework 13 Mth 12 Answers for Homework 13 1. In this problem we will use the fct tht if m f(x M on n intervl [, b] (nd if f is integrble on [, b] then (* m(b f dx M(b. ( The function f(x = 1 + x 3 is n incresing

More information

Math 426: Probability Final Exam Practice

Math 426: Probability Final Exam Practice Mth 46: Probbility Finl Exm Prctice. Computtionl problems 4. Let T k (n) denote the number of prtitions of the set {,..., n} into k nonempty subsets, where k n. Argue tht T k (n) kt k (n ) + T k (n ) by

More information

5.2 Exponent Properties Involving Quotients

5.2 Exponent Properties Involving Quotients 5. Eponent Properties Involving Quotients Lerning Objectives Use the quotient of powers property. Use the power of quotient property. Simplify epressions involving quotient properties of eponents. Use

More information

UniversitaireWiskundeCompetitie. Problem 2005/4-A We have k=1. Show that for every q Q satisfying 0 < q < 1, there exists a finite subset K N so that

UniversitaireWiskundeCompetitie. Problem 2005/4-A We have k=1. Show that for every q Q satisfying 0 < q < 1, there exists a finite subset K N so that Problemen/UWC NAW 5/7 nr juni 006 47 Problemen/UWC UniversitireWiskundeCompetitie Edition 005/4 For Session 005/4 we received submissions from Peter Vndendriessche, Vldislv Frnk, Arne Smeets, Jn vn de

More information

Natural examples of rings are the ring of integers, a ring of polynomials in one variable, the ring

Natural examples of rings are the ring of integers, a ring of polynomials in one variable, the ring More generlly, we define ring to be non-empty set R hving two binry opertions (we ll think of these s ddition nd multipliction) which is n Abelin group under + (we ll denote the dditive identity by 0),

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

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

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

440-2 Geometry/Topology: Differentiable Manifolds Northwestern University Solutions of Practice Problems for Final Exam

440-2 Geometry/Topology: Differentiable Manifolds Northwestern University Solutions of Practice Problems for Final Exam 440-2 Geometry/Topology: Differentible Mnifolds Northwestern University Solutions of Prctice Problems for Finl Exm 1) Using the cnonicl covering of RP n by {U α } 0 α n, where U α = {[x 0 : : x n ] RP

More information

Main topics for the First Midterm

Main topics for the First Midterm Min topics for the First Midterm The Midterm will cover Section 1.8, Chpters 2-3, Sections 4.1-4.8, nd Sections 5.1-5.3 (essentilly ll of the mteril covered in clss). Be sure to know the results of the

More information

Introduction to the Calculus of Variations

Introduction to the Calculus of Variations Introduction to the Clculus of Vritions Jim Fischer Mrch 20, 1999 Abstrct This is self-contined pper which introduces fundmentl problem in the clculus of vritions, the problem of finding extreme vlues

More information

Lecture 2: Fields, Formally

Lecture 2: Fields, Formally Mth 08 Lecture 2: Fields, Formlly Professor: Pdric Brtlett Week UCSB 203 In our first lecture, we studied R, the rel numbers. In prticulr, we exmined how the rel numbers intercted with the opertions of

More information

Calculus of Variations

Calculus of Variations Clculus of Vritions Com S 477/577 Notes) Yn-Bin Ji Dec 4, 2017 1 Introduction A functionl ssigns rel number to ech function or curve) in some clss. One might sy tht functionl is function of nother function

More information

Math 6455 Oct 10, Differential Geometry I Fall 2006, Georgia Tech

Math 6455 Oct 10, Differential Geometry I Fall 2006, Georgia Tech Mth 6455 Oct 10, 2006 1 Differentil Geometry I Fll 2006, Georgi Tech Lecture Notes 12 Riemnnin Metrics 0.1 Definition If M is smooth mnifold then by Riemnnin metric g on M we men smooth ssignment of n

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

1 Sets Functions and Relations Mathematical Induction Equivalence of Sets and Countability The Real Numbers...

1 Sets Functions and Relations Mathematical Induction Equivalence of Sets and Countability The Real Numbers... Contents 1 Sets 1 1.1 Functions nd Reltions....................... 3 1.2 Mthemticl Induction....................... 5 1.3 Equivlence of Sets nd Countbility................ 6 1.4 The Rel Numbers..........................

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

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

Variational Techniques for Sturm-Liouville Eigenvalue Problems

Variational Techniques for Sturm-Liouville Eigenvalue Problems Vritionl Techniques for Sturm-Liouville Eigenvlue Problems Vlerie Cormni Deprtment of Mthemtics nd Sttistics University of Nebrsk, Lincoln Lincoln, NE 68588 Emil: vcormni@mth.unl.edu Rolf Ryhm Deprtment

More information

Here we study square linear systems and properties of their coefficient matrices as they relate to the solution set of the linear system.

Here we study square linear systems and properties of their coefficient matrices as they relate to the solution set of the linear system. Section 24 Nonsingulr Liner Systems Here we study squre liner systems nd properties of their coefficient mtrices s they relte to the solution set of the liner system Let A be n n Then we know from previous

More information

MA Handout 2: Notation and Background Concepts from Analysis

MA Handout 2: Notation and Background Concepts from Analysis MA350059 Hndout 2: Nottion nd Bckground Concepts from Anlysis This hndout summrises some nottion we will use nd lso gives recp of some concepts from other units (MA20023: PDEs nd CM, MA20218: Anlysis 2A,

More information

Note 16. Stokes theorem Differential Geometry, 2005

Note 16. Stokes theorem Differential Geometry, 2005 Note 16. Stokes theorem ifferentil Geometry, 2005 Stokes theorem is the centrl result in the theory of integrtion on mnifolds. It gives the reltion between exterior differentition (see Note 14) nd integrtion

More information

Identify graphs of linear inequalities on a number line.

Identify graphs of linear inequalities on a number line. COMPETENCY 1.0 KNOWLEDGE OF ALGEBRA SKILL 1.1 Identify grphs of liner inequlities on number line. - When grphing first-degree eqution, solve for the vrible. The grph of this solution will be single point

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

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

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

Linear Algebra 1A - solutions of ex.4

Linear Algebra 1A - solutions of ex.4 Liner Algebr A - solutions of ex.4 For ech of the following, nd the inverse mtrix (mtritz hofkhit if it exists - ( 6 6 A, B (, C 3, D, 4 4 ( E i, F (inverse over C for F. i Also, pick n invertible mtrix

More information

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60.

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60. Mth 104: finl informtion The finl exm will tke plce on Fridy My 11th from 8m 11m in Evns room 60. The exm will cover ll prts of the course with equl weighting. It will cover Chpters 1 5, 7 15, 17 21, 23

More information

Math 4200: Homework Problems

Math 4200: Homework Problems Mth 4200: Homework Problems Gregor Kovčič 1. Prove the following properties of the binomil coefficients ( n ) ( n ) (i) 1 + + + + 1 2 ( n ) (ii) 1 ( n ) ( n ) + 2 + 3 + + n 2 3 ( ) n ( n + = 2 n 1 n) n,

More information

The graphs of Rational Functions

The graphs of Rational Functions Lecture 4 5A: The its of Rtionl Functions s x nd s x + The grphs of Rtionl Functions The grphs of rtionl functions hve severl differences compred to power functions. One of the differences is the behvior

More information

Recitation 3: More Applications of the Derivative

Recitation 3: More Applications of the Derivative Mth 1c TA: Pdric Brtlett Recittion 3: More Applictions of the Derivtive Week 3 Cltech 2012 1 Rndom Question Question 1 A grph consists of the following: A set V of vertices. A set E of edges where ech

More information

STUDY GUIDE FOR BASIC EXAM

STUDY GUIDE FOR BASIC EXAM STUDY GUIDE FOR BASIC EXAM BRYON ARAGAM This is prtil list of theorems tht frequently show up on the bsic exm. In mny cses, you my be sked to directly prove one of these theorems or these vrints. There

More information

Total Score Maximum

Total Score Maximum Lst Nme: Mth 8: Honours Clculus II Dr. J. Bowmn 9: : April 5, 7 Finl Em First Nme: Student ID: Question 4 5 6 7 Totl Score Mimum 6 4 8 9 4 No clcultors or formul sheets. Check tht you hve 6 pges.. Find

More information

1. Gauss-Jacobi quadrature and Legendre polynomials. p(t)w(t)dt, p {p(x 0 ),...p(x n )} p(t)w(t)dt = w k p(x k ),

1. Gauss-Jacobi quadrature and Legendre polynomials. p(t)w(t)dt, p {p(x 0 ),...p(x n )} p(t)w(t)dt = w k p(x k ), 1. Guss-Jcobi qudrture nd Legendre polynomils Simpson s rule for evluting n integrl f(t)dt gives the correct nswer with error of bout O(n 4 ) (with constnt tht depends on f, in prticulr, it depends on

More information

Math Theory of Partial Differential Equations Lecture 2-9: Sturm-Liouville eigenvalue problems (continued).

Math Theory of Partial Differential Equations Lecture 2-9: Sturm-Liouville eigenvalue problems (continued). Mth 412-501 Theory of Prtil Differentil Equtions Lecture 2-9: Sturm-Liouville eigenvlue problems (continued). Regulr Sturm-Liouville eigenvlue problem: d ( p dφ ) + qφ + λσφ = 0 ( < x < b), dx dx β 1 φ()

More information

Convex Sets and Functions

Convex Sets and Functions B Convex Sets nd Functions Definition B1 Let L, +, ) be rel liner spce nd let C be subset of L The set C is convex if, for ll x,y C nd ll [, 1], we hve 1 )x+y C In other words, every point on the line

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

LECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for

LECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for ECTURE 3 Orthogonl Functions 1. Orthogonl Bses The pproprite setting for our iscussion of orthogonl functions is tht of liner lgebr. So let me recll some relevnt fcts bout nite imensionl vector spces.

More information

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1.

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1. 398 CHAPTER 11 ORTHOGONAL FUNCTIONS AND FOURIER SERIES 11.1 ORTHOGONAL FUNCTIONS REVIEW MATERIAL The notions of generlized vectors nd vector spces cn e found in ny liner lger text. INTRODUCTION The concepts

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