Separability. Version september 2013 klokken 10:28. Separability MAT4250 Høst 2013
|
|
- Rosanna Miller
- 5 years ago
- Views:
Transcription
1 Separability Versin september 2013 klkken 10:28 Multiple rts and separable plynmials Let as usual K be a field, and let a plynmial f 2 K[t] f degree m is given. It is cnvenient and we lse nthing t suppse that f is mnic. Let be a field cntaining K such that! 2 is a rt f f. We may then write f(t) =(x!) r g(x) where g(x) 2 [t] is a plynmial nt vanishing at! and r 1. The rt is asimple rt if r =1,andinthecntrarycase,i.e., if r 2, wecall! amultiplert.one has the well knwn and elementary, but usfull lemma Lemma 1 The rt! is multiple if and nly if f 0 (!) =0. Prf: The prduct rule fr the derivative gives f 0 (x) =r(x!) r 1 g(x)+(x!) r g 0 (x), which shws that f 0 (!) =0if and nly if r 2. If the plynmial f splits cmpletely ver, thereisafactrizatin f(x) =(x! 1 ) (x! m ) with all the rts! i in. Whentherts! i are distinct, we say f splits simply ver and call f(x) a separable plynmial. Ifnt,thatis,ifatleastnertccursat least twice, the plynmial is said t be inseparable. Prblem 1. Verify that if f splits simply in ne extensin f K it splits simply in any ther extensin 0 where it splits. Hint: Chse a cmmn algebraic clsure f and 0. It is f curse an easy matter t find plynmials with multiple rts, but t find inseparable, irreducible plynmial is a lt mre subtle 1. As the prpsitin belw will shw, ne has t search in psitive characteristic t find such species. Amng the many new and cntra-intuitive phenmenn that can happen in psitive characteristic, is that the derivative f a plynmial may vanishes identically withut the plynmial being cnstant. The simplest example f a plynmial with this behavir is t p a. Mre generally, if f(x) =g(x pm ),byapplyingthechainrule,weseethat f 0 (x) =p m x pm 1 g 0 (x pm )=0 since the characteristic f K is p. Nw, these examples are in fact the nly examples. We have: 1
2 Lemma 2 Let K be a field f characteristic p and assume f(x) is a plynmial in K[x] whse derivative vanishes identically. Then f(x) =g(x pn ) fr sme plynmial g(x) in K[x] whse derivative des nt vanish identically. PlyWithVanishDe Prf: Let f(t) = P 0appleiappler a ix i.sincethederivativef 0 (x) = P 0appleiappler ia it i 1 vanishes identically, ia i = 0 fr 0 apple i apple r. This implies that either a i = 0 r i = 0,the latter means that i has p as factr. Hence the nly nn-vanishing terms f f are thse whse degree is divisible by p, and we may write f(x) = P 0applejappler/p a pjt pj.or,phrased differently, f(x) =g(x p ) fr sme plynmial g. Ifg has a nn-vanishing derivative, we are happy, if nt, we repeat the prcess until happiness. Prpsitin 1 Let K be a field and f(x) 2 K[x] an irreducible plynmial. Then f(x) is inseparable if and nly if f 0 (x) vanishes identically, i.e., f 0 (x) =0as a plynmial. In particular, f(x) is separable if ne f the fllwing cnditins is fulfilled: The characteristic f K is zer. The degree f f(x) is prime t the characteristic f K. Prf: Let E be the stem field f f(x), thatise = K[x]/(f(x)). Then f has a rt in E, andf(x) is the minimal plynmial t. The degree f f 0 (x) being ne less than he degree f f(x), it fllws that if f 0 ( ) =0,thenf 0 (x) =0identically. In characteristic zer this can f curse nt nt happen since f(x) is nt cnstant, and lemma 2 shws that in case it happens in psitive characteristic, the degree f f must be divisible by the characteristic f K. Prblem 2. Assume that f(x) is an inseparable, irreducible plynmial. Shw that ne may write f(x) =g(x pn ) where g(x) is separable and irreducible. Cnclude that all rts f f have the same multiplicity p n. Prblem 3. Let K be a field f characteristic p and let a 2 K be an element. Shw that x pn a is irreducible ver K if and nly if a is nt p n -th pwer in K. Hint: Use that the Frbenius map x 7! x pn is additive t shw that if a pn = b pn in a field f characteristic p, thena = b. Henceallthertsff in a splitting field are equal. Separable field extensins Recall that giving an embedding ver K f the stem field E f f an irreducible plynmial f(x) 2 K[x] int a field, isequivalenttgivingartff in. Assume that is a splitting field fr f. Frseparableplynmials thatis,plynmials that have as many different rts in as the degree n indicates this means that there are exactly n emddings int, andfrtheinseparableplynmialsthere are less. Hence 2
3 StemFieldSeparable Prpsitin 2 Suppse that K be a field and let f(x) 2 K[x] be an irreducible plynmial f degree n. Let be a splitting field fr f. Thenf is separable if and nly there are n different embeddings ver K f the stem field E f int. A small, but useful, extensin f this result is t the case when K is nt cntained in, but just embedded. That is, there is given an embedding : K!. Then the result abve reads as f(x) is separable if and nly if there are exactly n extensins f t L. The prf is nt difficult and left as an exercise. Prpsitin 2 abve may be generalized t fields nt necessarily being stem fields (but in the end f the day they will be, due t what is called the Therem f the primitive element ). Assume that L is a field extensin f K. Anelement 2 L is said t be a separable element if the minimal plynmial is separable. The extensin is called a separable extensin if any element in L is separable. All this shuld be understd relatively t the field K. Hwever,nehasthethe lemma Lemma 3 Assume that K E L is a twer f finite field extensins. If an element f L is separable ver K, itisseparablevere. Prf: Let f(x) be the minimal plynmial f ver K. Then f curse f(x) 2 E[x], but it is nt necessarily irreducible there. We may therefre factr f(x) =g(x)h(x) ver E, where g(x) is the minimal plynmial f ver E and where h( ) 6= 0.Applying the prduct rule, we find f 0 (x) =g 0 (x)h(x)+g(x)h 0 (x). Hence if f 0 ( ) 6= 0,theng 0 ( ) 6= 0(since h( ) 6= 0and g( ) =0). SepInTwers Prblem 4. Shw by a (stupid) example that the cnverse f the lemma is nt true Hint: Take E = L. Prpsitin 3 Let L be a finite extensin f the field K. Assumethat is an algebraic clsed field and that is an embedding f K in. ThenL is a separable extensin if and nly if the number f different embeddings f L in extending equals the degree [L: K] f L ver K. Prf: Pick an element 2 L. IfL = K( ) we are dne, since then L is ismrphic t the stem field E f and is separable ver K.Ifnt,wehavethetwerK K( ) L. The number f embeddings f K( ) in equals the degree [K( ): K], andbyinductin 2, each f these can be extended t L in [L: K( )] ways since L is separable ver K by lemma 3, andwearethrughsincethedegreeismultiplicativeintwers. 1 Just fr this reasn, many authrs apply the terms separable and inseparable nly t irreducible plynmials. 2 In fact, we need t prve a slightly mre general statement t make the inductin wrk: Any embedding f K int can be extended t L in exactly [L: K] ways. 3
4 Crllary 1 In a twer K E L f field extensins, L is separable ver K if and nly if bth E is separable ver K and L is separable ver L. Prf: We cunt extensins f embedding f the fields int sme algebraically clsed field : AssumeL separable ver E and E separable ver K. Then by the prpsitin, an embedding f K int can be extended t L in [E : L] different ways, and each f these can be further extended t L in [L: E] ways. Hence the ttal number f extensins t L equals [E : K][L: E], andthisisequalt[l: K]. The ther way rund is just lemma 3 abve. MinRelInSep Perfect fields A perfect field is a field K having the prperty that any extensin L f K is separable. All fields f characteristic zer are perfect, and the gd news fr number therists is that all finite fields are perfect. One has the fllwing characterisatin f perfect fields relating t existence f p- rts in K: Prpsitin 4 Assume that K is a field f characteristic p. ThenK is perfect if and nly if every ne f its elements is a p-th pwer, i.e., every element in K has a p-th rt in K. Prf: Assume that every element has a p-th rt, and suppse that L is an inseparable extensin f K. Then there is an element 2 L, ntink, satisfyingaminimal relatin nq + a n 1 (n 1)q +...a 1 q + a 0 =0 (K) where q = p m,andthea i s are in K. SinceeveryelementinK has a p-rt, they all have a q-th rt as well, and we may find b i s in K with b q i = a i. The relatin then takes the frm nq + b q n 1 (n 1)q +...b q 1 q + b q 0 =0, but, as rising elements t q-th pwer is additive in characteristic p, thisgives ( n + b n 1 n b 1 + b 0 ) q =0, cntradicting the minimality f the relatin K. The ther way arund, if a 2 K is nt a p-th pwer, the plynmial x p a is irreducible and the extensin E f = K[x]/(x p a) f K is inseparable. Finite fields are perfect The fields f finite characteristic we shall meet in this curse, are are almst exclusively the finite fields. They are all perfect, s we very seldm will have t cpe with inseparable fields extensins hwever w ll meet inseparable algebras, but that is anther stry we cme back t later. T see that a finite field F q where q = p n is a prime pwer is separable. We check that every element is a p-th pwer. The Frbenius map x 7! x p is additive (this is true in characteristic p) andinjective x p =0bviusly implies that x =0.Henceitmust be bijective since F q is finite. 4
5 All this fuzz abut nthing? The reader deserves at least ne example f a extensin that is nt separable. The easiest is prbably the fllwing. Let K be any field f characteristic p and let x be a variable. Then K(x p ) K(x) is nt separable, since x p is nt a p-th pwer in K(x p ) (any p-th pwer in K(x p ) is f degree p 2 in K(x)). Multiple rts and the discriminant We knw since childhd (at least mathematically speaking) that a quadratic plynmial ax 2 + bx + c has a duble rt if and nly if the discriminant b 2 4ac vanishes. Indeed, the discriminant is the square f the difference f the tw rts. The discriminant is a very cnvenient tl; withut actually knwing the rts, ne can decide if they are equal r nt. In general, if the mnic plynmial f(x) f degree n has the n rts! 1,...,! n in splitting field, nedefinesthediscriminantff as the prduct Y (! i! j ) 2, f = 1applei<japplen If f(x) is nt mnic, but has leading cefficient a, welet Y f = a 2n 2 (! i! j ) 2. 1applei<japplen Obviusly j vanishes precisely when tw rts cincide. The discriminant is invariant under any permutatin f the rts, and thus it is a symmetric plynmial in the! i s. Hence by the fundamental therem n symmetric plynmials, it may be expressed as aplynmialinthecefficientsff, justlikeb 2 4ac in the quadratic case, but the actual expressin is much mre cmplicated fr ply s f higher degree. In fact the frmula fr the discriminat is what we call a universal frmula. It is the same whatever the! i s. One can, if ne wants t be 100% frmal, frmulate it in terms f independent indeterminants w 1,...,w n and prve it ver the ring Z[w 1,...,w n ]. There are many frmulas invlving such a nice creature as the discriminant. We shall give tw, ne where we relate the discriminant t the values f the derivative f f at the rts, and ne where it is related t the van der Mnde determinant. Discriminant and derivatives Since f(x) = Q j (x! j),neeasilyseesbyapplying the prduct rule, that f 0 (! i )= Q j, j6=i (! i! j ).Hence Y f 0 (! i )= Y! Y (! i! j ) = Y (! i! j ) 2 i i i<j j, j6=i where is a sign. After a mment f reflectin ne cnvinces ne self that = ( 1) n(n 1)/2 every ne f the n(n 1)/2 pairs f indices i, j cntributes twice t the prduct, nce with the factr! i! j and nce with! j! i.hence f =( 1) n(n 1)/2 Y i f 0 (! i ). (H) 5
6 In case f(x) is nt mnic, but has leading cefficient a, we find DiskPrduktAvDer f =( 1) n(n 1)/2 a n 2 Y i f 0 (! i ). This relatin between the discriminant and the derivative f f has nice frmulatin in terms f the nrm. Recall that if K L is a separable extensin, the nrm N L/K ( ) f equals the prduct Q i i( ) f the value at f the different embeddings i f L in sme sufficiently big field. Let be a splitting field fr f and let! be ne f the rts. Then if L = K(!), thevalues i(!) are just the different rts! i f f in and i(f 0 (!)) = f 0 (! i ). Cmbining this with equatin (H) abve,webtain Prpsitin 5 Let f(x) be a mnic plynmial in K[x] and let! 1,...,! n be the rts f f in sme splitting field. Then f =( 1) n(n 1)/2 N K(!)/K (f 0 (!)). The case f the trinme x n + ax + b Cmputing discriminants by hand can be achallenge,butluckily,tdaynehassftwarethatcancandthedirtyjbsfrus. Hwever, in the special case f the the trinmes x n + ax + b, the cmputatins with sme cleverness are nt hrrible at all, and is a classic. S we shall d it. This furnishes us we many examples, and it reminds us that cumputatin by hand smetimes is an ptin, and prbably mst imprtantly, yu have a chance t becme wiser by ding the calculatuns yur self and nt nly pushing the buttn. S let a and b be elements f the field K and let f(x) =x n + ax + b. Let! be a rt f f. The derivative is given as f 0 (!) =n! n 1 + a. Nw! n 1 = a b! 1,s renaming the derivative x and using x = (n 1)a nb! 1,wecanslvefr! and btain nb! = x +(n 1)a. This shws that nb f( x +(n 1)a )=0. Clearing the denminatr, we get (x +(n 1)a) n na(x +(n 1)a) n 1 +( 1) n b n 1 n n =0. Interpreting x as a variable, the left side is the minimal plynmial f f 0 (!), andthe nrm f f 0 (!), which we are lking fr, is the cnstant term with the factr ( 1) n. The binmial therem and sme cleaning up gives f =( 1) n(n 1)/2 (n n b n 1 +( 1) n 1 (n 1) n 1 a n ) Specializing t case f a cubic x 3 + ax + b, negetstheubiquiusfrmulafrthe cubic discrimant f = 27b 2 4a 3 6
7 Prblem 5. Cmpute the discriminant f the tw cubic plynmials x 3 + x +1and x 3 x 1. Prblem 6. Let g(x) =x 3 + ax 2 + b shw that g = 27b 2 4a 3 b. Hint: Relate g t the discriminat f f(x) =x 3 g(x 1 ) Prblem 7. Cmpute the discriminat f x 3 2x Prblem 8. The aim f this exercise is t shw that if x 3 + ax + b is cubic plnmial whse discriminant is negative, then it has a unique real rt given by! = 3 q ( b + /3 p 3)/2+ 3 q( b /3 p 3)/2 (J) where is a square rt f the discrimant 4a 3 27b 2. RealRt a) Let be a primitive third rt f unity. Shw that there are real numbers s and t such that s + t and s + t are the tw cmplex rts f f(x). b) Shw that the real rt equals s + t. Hint: The sum f the rts is zer. c) Shw that b = s 3 + t 3. Hint: The prduct f the rts is b. d) Shw that the prduct f the differences f the rts (i.e., )is±3 p 3(s 3 t 3 ). e) Shw the frmula (J). Hint: Slve fr s and t. Prblem 9. If f(x) =ax 3 +bx 2 +cx+d, shwthat f = b 2 c 2 4ac 3 4b 3 d 27a 2 d abcd. The Van der Mnde determinant T treat the van der Mnde determinant we d it generically, as we did with the discriminant. We use n independent variables w 1,...,w n be variables, s the frmulas we btain are valid in the plynmial ring Z[w 1,...,w n ].Subsequentlynemaysubstitutefrthew i whatever elements ne wants, as lng as they are elements f a cmmutative ring, hence the frmulas are universally valid. V n = V n (w 1,...,w n )= w 1 w w n w1 2 w wn w1 n 1 w1 n wn n 1 Setting w i = w j kills the determinant tw clumns then being equal. This means that w i w j divides V (and this is where we use the ring Z[w 1,...,w n ] and that it is a ufd ). It fllws that the prduct P n = Q i>j (w i w j ) is a factr f V. 7
8 This prduct and the van der Mnde are bth plynmials f the same degree. Indeed, every term f the van der Mnde is f degree P n 1 i=0 i = n(n +1)/2, andthe prduct has as many (linear) factrs as there are pairs with i>j,thatisn(n +1)/2. Hence the tw expressins agree up t a scalar factr, say n.settingw n =0and develping V n alng the last clumn gives V n wn=0 =( 1) n 1 w 1 w n 1 V n 1 and similarly P n wn=0 =( 1) n 1 w 1 w n 1 V n 1.Hence n = n 1,andfcurse 2 =1, s the scalars n all reduce t 1. We have established the fllwing: Prpsitin 6 Assume that f(t) is a plynmial f degree n whse rts are! 1,...,! n in sme extensin field f K. Thenwehavethefllwingrelatinbetweenhediscriminant f f and the van der Mnde determinant made ut f the rts: f = V 2 n (! 1,...,! n ) Nilptency and trace There is a clse cnnectin between nilptency f a linear peratr A n a vectr space and the tracelessness f all the pwers f A. Infact,verafieldfcharacteristiczer,A being nilptent is equivalent t the vanishing f the traces tr A i fr i 1. Ifthegrund field is f psitive characteristic, hwever, the situatin is a little mre cmplicated due t the fact that there are nn-cnstant plynmials with a vanishing derivative. Even if ur main bjects f study rings f algebraic integers in number fields all live in characteristic zer, we have a great interest in cnsidering the case f psitive characteristic. The reasn is as fllws. If A B is an extensin f say number rings fr example culd B be the integtral clsure f A in sme finite field extensin f the fractin fielsd f A and p A aprimeideal,wearecertainlyinterestedingettinga hand n the set f prime ideals q in B with q \ A = p that is, the fibre f the map spec B! spec A ver p. This fibre is in ne-t-ne-crrespndence with the primes in the ring B/pB, andthisringisanalgebraverthefinitefielda/p. The lessn is: We are als interested in finite dimensinal algebras ver finite fields! Example. An illustrative example is when B is generated by ne element ver A; t be cncrete, say A = Z and B = Z[ ] where belngs t sme finite extensin L f Q, and is integral ver Z. Then B = Z[x]/(F (x)) where F (x) is the minimal plynmial f ver Q, andthisplynmialhasintegralcefficients, being integral. If nw p 2 Z is a ratinal prime, we can perfrm the fllwing small cmputatin B/pB = Z[x]/(F (x),p)=f p [x]/(f(x)), where f(x) 2 F p [x] dentes the plynmial btained frm F by reducing all cefficients md p. Ofcurse,f(x) is nt necessarily irreducible (even if F is). Sme times it is and sme times nt. If f(x) =g 1 (x) v1 g r (x) vr is a factrizatin f f where the g i (x) s are different irreducible ply s in F p [x], then by sme well knwn chinese therem B/pB = F p [x]/(g 1 (x) v1 g r (x) vr )= Y F p [x]/(g i (x) v i ) 8
9 Each factr F p [x]/(g i (x) v i ) is an algebra ver F p,anditisafield if and nly if v i =1, that is, if and nly if it is withut nilptent elements. S we see that nilptency is cuple t multiple factrs f f, rincasethefactrsarelinear,tmultiplertsf f. Ply s with multiple rts in sme extensin f the base field, are the inseparable ply s, sthelessnis:nilptencyiscupledtinseparability. e Prblem 10. Shw that x 2 +1is irreducible md p if and nly if p 1 md 4. Linear peratrs Cming back t linear peratrs, we fix a field K and a linear peratr A n the finite dimensinal vectr space V ver K. The characteristic plynmial f A is, as we knw, defined by P A (t) = det(t I A). OversmeextensinL f K the characteristic plynmial splits int a prduct P (t) = Q i (t i) f linear factrs. The i s are the eigenvalues f A in. In additin t the characteristic plynmial we shall make use f the fllwing assciated plynmial: Q A (t) = Y (1 it) =t n P A (t 1 ) It still has cefficients in K. The degree f Q A may drp cmpared t the degree f P A.Itisequaltthenumberfnn-zereigenvaluesfA. Infact,thertsfQ are the inverses f the nn-vanishing eigenvalues f A. A cnsequence f Cayley-Hamiltn is that the peratr A is nilptent if and nly if Q A is cnstant. Our next lemma is cmpletely elementary, n the level f a first curse in calculus, but will be very usual: Lemma 4 Assume that Q(t) = Q 1appleiapplen (1 it) is a plynmial where the i s are in sme cmmutative ring A. Thenthefrmulabelwhldstrueinthepwerseriesring A[[t]]: Q 0 (t) Q(t) = 1appleiapplen,kapple1 k i t k 1 The identity in the lemma is cmpletely frmal. That is, we may assume that i s are independent variable, and the identity hlds in the ring f frmal pwer series 3 Z[ 1,..., n][[t]]. It is therefre valid whenever the tw sides have a meaning. Prf: The prduct rule gives Q(t) 0 = P i ( i) Q j6=i (1 jt). Then FundFrmel Q 0 (t) Q(t) = i i 1 t i and the lemma fllws frm the the ubiquitus frmula fr the sum f a gemetric series. 3 Admittedly, this frmulatin is nt very much first-calculus-curse-ish. 9
10 Lemma 5 If A is an peratr n a finite dimensinal vectr space V f dimensin n ver the field K, then Q 0 A (t) Q A (t) = tr A k t k 1 1applek hlds in the pwer series ring K[[t]], whereq A (t) =t n P A (t 1 ) and P A (t) dentes the characteristic plynmial f A. Prf: Q If the i s with 1 apple i apple n are the eigenvalues f A, thennehasq A (t) = i (1 it) and tr A k = P k i i. Prpsitin 7 Fr the peratr A, thetwfllwingcnditinsareequivalent Fr all k apple 1, thetracefa k vanishes, i.e., tr A k =0. Q A (t) 0 =0 The trace frm and separability We have nw cme t main therem f this sectin. Let as usual K be a field and L afiniteextensinfk. The trace gives us a bilinear and symmetric frm n L with values in K,namelythefrm(x, y) =tr L/K (xy) fr x, y 2 L. Indeedtr L/K (xy) is clearly symmetric, and the prduct being linear in each variable, tr L/K (xy) is bilinear. This frm is very useful since it detects inseparability; mre precisely the trace frm is nn-degenerate if and nly if the extensin L f K is separable: TraceFrmNndegerate Therem 1 Let K L be a finite separable field extensin. Then the bilinear frm tr L/K (xy) is nn degenerate if and nly if the extensin L f K is separable. Prf: Assume first that L is separable ver K. We use inductin n n =[L: K], andletl be a cunter example f least degree ver K. The field L being a cunter example, there is an element x 2 L nt in K with tr L/K (xy) =0fr all y. HenceL = K(x) since L was the smallest bad guy; indeed K(x) is separable ver K, and,fcurse,tr K/L xy =0fr all y 2 K(x). By putting y = x k 1 we see that tr L/K (x k )=0fr all k. Since x n = a 0 + a 1 x + + a n 1 x n 1 with the a i s in K, anda 0 6=0,thisgivestr a 0 = na 0 =0,andn must be divisible by the characteristic p f K. Let nw Q(t) =t n P (t 1 ) where P (t) dentes the characteristic plynmial f the multiplicatin map x. Then by lemma 4 we have Q 0 (t) Q(t) = tr L/K (x k )t k 1 =0, k 1 10
11 and Q 0 vanishes identically. Nw 0=Q(t) 0 = nt n 1 P (t 1 )+t n 2 P 0 (t 1 )=t n 2 P 0 (t 1 ) as p divides n. HenceP 0 vanishes identically. But the characteristic and the minimal plynmial f x cincide (since L = K(x)), and by cnsequence x is nt separable ver K. Fr the prf f the implicatin in the ther directin, assume that L is nt separable, and let x 2 L be inseparable ver K. WefirstlkattheextensinK(x) generated by x. If P (t) is the characteristic plynmial (which is equal t the minimal plynmial f x ver K)fmultiplicatinbyx in K(x),thenP 0 =0.HenceQ 0 =0, and by what we just did, tr K(x)/x (y) =0fr all y 2 K(x). It fllws that tr L/K =tr K(x)/L tr L/K(x) =0. Just ne remark abut this prf. Mst f it is there t deal with the characteristic p case. In characteristic zer, ne cncludes immediately frm the fact that tr L/K (x k )= fr all k 1, thatq 0 =0,henceQ(t) cnstant, i.e., that x is nilptent, which means that x =0since K is a field. And thus the trace frm is nn-degenerate. The dual basis and finiteness f the integral clsure Assume that v 1,...,v n is a K basis fr the sperable extensin L f K. Then by the general thery f nn-degenerate quadratic frms, there exsists a dual basis. This is a basis v 0 1,...,v 0 n such that tr L/K (v i v 0 j)= ij. The prf f the fllwing result illustrates the usefulness f the dual basis. The result is really the basis fr the whle algebraic number thery. It is fundamental that the integral clsure f a Dedekind ring in a finite extensin f the field f fractin, still is Dedekind. The main ingredient in the prf f this result, and the nly subtle ne, is that the integral clsure remains netherian. This fllws frm ur next prpsitin. Prpsitin 8 Let A be netherian dmain, integrally and clsed in its fields f fractins K. AssumethatL is a finite extensin f K such that the bilinear frm tr L/K (xy) is nn-degenerate. Then integral clsure B f A in L is a finitely generated mdule ver A. Prf: Let v 1,...,v n be a basis fr L ver K. Wemayassumethatthev i s are cntained in B (multipliedbyacmmndenminatr,theystillcnstituteabasis). Let v1,...,v 0 n 0 be the dual basis with respect t the bilinear frm tr L/K (xy). Then we claim that B is cntained in the A-submdule f L generated by the v i s. This submdule is by definitin finitely generated, and A being ntherian, it fllws that B is finitely generated. Since v1,...,v 0 n 0 is a K-basis fr L,any 2 B may be written as = a 1 v1+ +a 0 n vn 0 with a i 2 K. Ourtaskistverifythatthea i s are in A. Nw tr L/K ( v j )= a i tr L/K (v 0 iv j )=a j 11
12 and since bth and v i are in B their prduct is, and hence tr L/K ( v i ) 2 A by prpsitin 7 n 6 in the sectin Nrms and Traces.. Therem 2 Let A K be a dedekind ring and its field f fractins. Let L be a finite, separable extensin f K and dente by B the integral clsure f A in B. ThenB is a Dedekind ring. Prf: We knw that B is integrally clsed and finitely generated as an A-mdule. Hence it is netherian and f the same Krull-dimensin as A (It is generally true that if B is an A-algebra which is finitely generated as an A-mdule, then if ne f A and B is nteherian, the ther is, and they have the same Krull-dimensin ). Withut the hypthesis that L be separable ver K, thedmainb need nt be finite ver A, but it will be netherian and f Krull dimensin ne. This is called the Krull- Akizuki-therem, and we shall nt prve it. S, the therem remains true even if we skip the assumptin that L is separable ver K. Etale r separable algebras One f the main prblems in algebraic number thery is t describe hw a ratinal prime p factrizes in the ring A f integers in an algebraic number field K. Aspart f this, it is f great imprtance t decide which primes p have a multiple factr in A. Such primes are said t ramify in A. One way f attacking this prblem, is t study the F p -algebra A/pA. Lemma 6 The prime p ramifies in A if and nly if A/pA has nn-zer nilptent elements Prf: If pa = Q i p i the chinese therem gives A/pA = Y i A/p i which clearly is withut nilptents if and nly if all the nn-zer i s are equal t ne. In the case that A is geneated by ne element ver Z,thatis,fthefrmZ[x]/(f(x)) we culd test nilptency in A/pA by testing f(x) fr multiple rts md p. This happends if and nly if the discriminant f f has p has a factr. Hwever nt all rings f integers are generated by ne element! Hence we smething mre general than just the discriminant f a plynmial. Let A be an algebra a field K, which is equivalent f finite dimensin as a vectr space ver K. Onemay,justasfrfields,definethetracetr A/k (x) f an element x in A as the trace f the multiplicatin map x : A! A. Andwecandefinethetrace frm as tr A/K (xy). We knw frm cmmutative algebra that A is a prduct f lcal algebras, i.e., A = Q i A i. Clearly this is an rthgnal decmpsitin f A with respect t the trace 12
13 frm, i.e., tr(xy) =0if x 2 A i and y 2 A j and i 6= j. Indeed,itisallreadyrthgnal fr the prduct! The trace frm is therefre nn-degenerate if and nly if the trace frm tr Ai /k f each factr is nn-degenerate. Prpsitin 9 The trace frm tr A/K (xy) is nndegenerate if and nly if A is ismrphic t a prduct f fields L i,allbeingseparableverk. Prf: After what we just said, we assume that A is a lcal algebra, and must shw that tr A/K (xy) is nn-degenerate if and nly if A is a separable field extensin f K. Assume that the trace frm is n-degenerate. Then A has n nilptents, since if x is nilptent, xy is nilptent fr all y, hencetr A/K (xy) =0fr all y. Therefr A is a field and by xxx it is separable. The discriminant f a field extensin Let K L be a finite, separable field extensin. T every K-basis v 1,...,v n, wich we call B, weasssiatethedeterminant B =det(tr L/K (v i v j )). It is called the discriminant f the basis B. Of curse, the dicriminant depends n the basis B. Assumethatv 0 1,...,v 0 n is anther basis, and let V dente the transitin matrix between the tw basises. As with any quadratic frm, the matrix f the quadratic frm transfrmss as (tr L/K (v i v j )) = V (tr L/K (v 0 iv 0 j))v t.hencetakingdeterminants,weseethat B =(detv ) 2 B 0 Relatin t the Dedekind determinant The setting is as usual witk K L a separable field extensin and asufficientlybigextensinfieldfk, mrespesifically, we assume that the number f embeddings f L in is equal t n, the different embeddings being 1,..., n. FranyK-basis v 1,...,v n fr L, wemaycnciderthematrix ( j (v i )), Dedekindshwedthismatrixtbeinvertibleanditsdeterminantisclsely related t the discriminant: Prpsitin 10 B =det( j (v i )) 2 Prf: One calculates the matrix prduct: MM t =( j (v i ))( i (v j )) = ( k k(v i ) k (v j )) = ( k k(v i v j )) = (tr K/L (v i v j )) k( ) by therem xxx. The prp- whetre the last equality hlds since tr K/L ( ) = P k sitin fllws. 13
14 The case f a primitive element If is a generatr fr the field L ver K, the discriminat is clsely related t the van der Mnde determinant at least t the discriminant f the cannical basis A cnsisting f the pwers 1,,..., n 1 and thus t the minimal plynmial f. Infact,clselyrelatedisanunderstatement,the discriminant f the basis A is equal t the discriminant f the minimal plynmial f. And they are bth equal t the square f the van der Mnde. We let j be the different embeddings f K( ) in and let j = j ( ). Frthevan der Mnde matrix V we have V =( i 1 j ) 1applei,japplen.HencecmputingVV t,weget VV t =( k i 1 k j 1 k )=( k i+j 2 k )=(tr L/K ( i 1 j 1 )),andhence Prpsitin 11 Assume that L = K( ) is f degree n, andleta be the natural basis 1,,..., n 1.ThenifV dentes the van der Mnde matrix ( i 1 j 1 ),then A =(detv ) 2. If f(x) dentes the minimal plynmial f, thenthediscriminantff and f the basis A cincide: f = A. Versjn: Tuesday, September 24, :28:24 AM 14
A crash course in Galois theory
A crash curse in Galis thery First versin 0.1 14. september 2013 klkken 14:50 In these ntes K dentes a field. Embeddings Assume that is a field and that : K! and embedding. If K L is an extensin, we say
More informationCHAPTER 2 Algebraic Expressions and Fundamental Operations
CHAPTER Algebraic Expressins and Fundamental Operatins OBJECTIVES: 1. Algebraic Expressins. Terms. Degree. Gruping 5. Additin 6. Subtractin 7. Multiplicatin 8. Divisin Algebraic Expressin An algebraic
More information[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y )
(Abut the final) [COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t m a k e s u r e y u a r e r e a d y ) The department writes the final exam s I dn't really knw what's n it and I can't very well
More informationHomology groups of disks with holes
Hmlgy grups f disks with hles THEOREM. Let p 1,, p k } be a sequence f distinct pints in the interir unit disk D n where n 2, and suppse that fr all j the sets E j Int D n are clsed, pairwise disjint subdisks.
More informationThis section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving.
Sectin 3.2: Many f yu WILL need t watch the crrespnding vides fr this sectin n MyOpenMath! This sectin is primarily fcused n tls t aid us in finding rts/zers/ -intercepts f plynmials. Essentially, ur fcus
More informationNUMBERS, MATHEMATICS AND EQUATIONS
AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t
More informationAdmissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs
Admissibility Cnditins and Asympttic Behavir f Strngly Regular Graphs VASCO MOÇO MANO Department f Mathematics University f Prt Oprt PORTUGAL vascmcman@gmailcm LUÍS ANTÓNIO DE ALMEIDA VIEIRA Department
More informationChapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms
Chapter 5 1 Chapter Summary Mathematical Inductin Strng Inductin Recursive Definitins Structural Inductin Recursive Algrithms Sectin 5.1 3 Sectin Summary Mathematical Inductin Examples f Prf by Mathematical
More information5 th grade Common Core Standards
5 th grade Cmmn Cre Standards In Grade 5, instructinal time shuld fcus n three critical areas: (1) develping fluency with additin and subtractin f fractins, and develping understanding f the multiplicatin
More informationMODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b
. REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but
More informationMATHEMATICS SYLLABUS SECONDARY 5th YEAR
Eurpean Schls Office f the Secretary-General Pedaggical Develpment Unit Ref. : 011-01-D-8-en- Orig. : EN MATHEMATICS SYLLABUS SECONDARY 5th YEAR 6 perid/week curse APPROVED BY THE JOINT TEACHING COMMITTEE
More informationWe can see from the graph above that the intersection is, i.e., [ ).
MTH 111 Cllege Algebra Lecture Ntes July 2, 2014 Functin Arithmetic: With nt t much difficulty, we ntice that inputs f functins are numbers, and utputs f functins are numbers. S whatever we can d with
More informationTrigonometric Ratios Unit 5 Tentative TEST date
1 U n i t 5 11U Date: Name: Trignmetric Ratis Unit 5 Tentative TEST date Big idea/learning Gals In this unit yu will extend yur knwledge f SOH CAH TOA t wrk with btuse and reflex angles. This extensin
More informationBuilding to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems.
Building t Transfrmatins n Crdinate Axis Grade 5: Gemetry Graph pints n the crdinate plane t slve real-wrld and mathematical prblems. 5.G.1. Use a pair f perpendicular number lines, called axes, t define
More informationMODULE ONE. This module addresses the foundational concepts and skills that support all of the Elementary Algebra academic standards.
Mdule Fundatinal Tpics MODULE ONE This mdule addresses the fundatinal cncepts and skills that supprt all f the Elementary Algebra academic standards. SC Academic Elementary Algebra Indicatrs included in
More informationPublic Key Cryptography. Tim van der Horst & Kent Seamons
Public Key Cryptgraphy Tim van der Hrst & Kent Seamns Last Updated: Oct 5, 2017 Asymmetric Encryptin Why Public Key Crypt is Cl Has a linear slutin t the key distributin prblem Symmetric crypt has an expnential
More informationREPRESENTATIONS OF sp(2n; C ) SVATOPLUK KR YSL. Abstract. In this paper we have shown how a tensor product of an innite dimensional
ON A DISTINGUISHED CLASS OF INFINITE DIMENSIONAL REPRESENTATIONS OF sp(2n; C ) SVATOPLUK KR YSL Abstract. In this paper we have shwn hw a tensr prduct f an innite dimensinal representatin within a certain
More informationNOTE ON APPELL POLYNOMIALS
NOTE ON APPELL POLYNOMIALS I. M. SHEFFER An interesting characterizatin f Appell plynmials by means f a Stieltjes integral has recently been given by Thrne. 1 We prpse t give a secnd such representatin,
More informationAn Introduction to Complex Numbers - A Complex Solution to a Simple Problem ( If i didn t exist, it would be necessary invent me.
An Intrductin t Cmple Numbers - A Cmple Slutin t a Simple Prblem ( If i didn t eist, it wuld be necessary invent me. ) Our Prblem. The rules fr multiplying real numbers tell us that the prduct f tw negative
More informationLyapunov Stability Stability of Equilibrium Points
Lyapunv Stability Stability f Equilibrium Pints 1. Stability f Equilibrium Pints - Definitins In this sectin we cnsider n-th rder nnlinear time varying cntinuus time (C) systems f the frm x = f ( t, x),
More informationFunction notation & composite functions Factoring Dividing polynomials Remainder theorem & factor property
Functin ntatin & cmpsite functins Factring Dividing plynmials Remainder therem & factr prperty Can d s by gruping r by: Always lk fr a cmmn factr first 2 numbers that ADD t give yu middle term and MULTIPLY
More informationPreparation work for A2 Mathematics [2017]
Preparatin wrk fr A2 Mathematics [2017] The wrk studied in Y12 after the return frm study leave is frm the Cre 3 mdule f the A2 Mathematics curse. This wrk will nly be reviewed during Year 13, it will
More informationThermodynamics Partial Outline of Topics
Thermdynamics Partial Outline f Tpics I. The secnd law f thermdynamics addresses the issue f spntaneity and invlves a functin called entrpy (S): If a prcess is spntaneus, then Suniverse > 0 (2 nd Law!)
More informationThe standards are taught in the following sequence.
B L U E V A L L E Y D I S T R I C T C U R R I C U L U M MATHEMATICS Third Grade In grade 3, instructinal time shuld fcus n fur critical areas: (1) develping understanding f multiplicatin and divisin and
More informationPreparation work for A2 Mathematics [2018]
Preparatin wrk fr A Mathematics [018] The wrk studied in Y1 will frm the fundatins n which will build upn in Year 13. It will nly be reviewed during Year 13, it will nt be retaught. This is t allw time
More informationRevisiting the Socrates Example
Sectin 1.6 Sectin Summary Valid Arguments Inference Rules fr Prpsitinal Lgic Using Rules f Inference t Build Arguments Rules f Inference fr Quantified Statements Building Arguments fr Quantified Statements
More informationLHS Mathematics Department Honors Pre-Calculus Final Exam 2002 Answers
LHS Mathematics Department Hnrs Pre-alculus Final Eam nswers Part Shrt Prblems The table at the right gives the ppulatin f Massachusetts ver the past several decades Using an epnential mdel, predict the
More informationSections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.
Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage
More informationKinetic Model Completeness
5.68J/10.652J Spring 2003 Lecture Ntes Tuesday April 15, 2003 Kinetic Mdel Cmpleteness We say a chemical kinetic mdel is cmplete fr a particular reactin cnditin when it cntains all the species and reactins
More informationSOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 4. Function spaces
SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 4 Fall 2014 IV. Functin spaces IV.1 : General prperties Additinal exercises 1. The mapping q is 1 1 because q(f) = q(g) implies that fr all x we have f(x)
More informationA Matrix Representation of Panel Data
web Extensin 6 Appendix 6.A A Matrix Representatin f Panel Data Panel data mdels cme in tw brad varieties, distinct intercept DGPs and errr cmpnent DGPs. his appendix presents matrix algebra representatins
More information1 The limitations of Hartree Fock approximation
Chapter: Pst-Hartree Fck Methds - I The limitatins f Hartree Fck apprximatin The n electrn single determinant Hartree Fck wave functin is the variatinal best amng all pssible n electrn single determinants
More information37 Maxwell s Equations
37 Maxwell s quatins In this chapter, the plan is t summarize much f what we knw abut electricity and magnetism in a manner similar t the way in which James Clerk Maxwell summarized what was knwn abut
More informationRevision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax
.7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical
More information, which yields. where z1. and z2
The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin
More informationB. Definition of an exponential
Expnents and Lgarithms Chapter IV - Expnents and Lgarithms A. Intrductin Starting with additin and defining the ntatins fr subtractin, multiplicatin and divisin, we discvered negative numbers and fractins.
More informationSPH3U1 Lesson 06 Kinematics
PROJECTILE MOTION LEARNING GOALS Students will: Describe the mtin f an bject thrwn at arbitrary angles thrugh the air. Describe the hrizntal and vertical mtins f a prjectile. Slve prjectile mtin prblems.
More informationVersion 1 lastupdate:11/27/149:47:29am Preliminar verison prone to errors and subjected to changes. The version number says all!
7. Del Characters Versin 1 lastupdate:11/27/149:47:29am Preliminar verisn prne t errrs and subjected t changes. The versin number says all! Characters f finite abelian grups Let A be a finite abelian grup.
More informationA new Type of Fuzzy Functions in Fuzzy Topological Spaces
IOSR Jurnal f Mathematics (IOSR-JM e-issn: 78-578, p-issn: 39-765X Vlume, Issue 5 Ver I (Sep - Oct06, PP 8-4 wwwisrjurnalsrg A new Type f Fuzzy Functins in Fuzzy Tplgical Spaces Assist Prf Dr Munir Abdul
More informationModule 4: General Formulation of Electric Circuit Theory
Mdule 4: General Frmulatin f Electric Circuit Thery 4. General Frmulatin f Electric Circuit Thery All electrmagnetic phenmena are described at a fundamental level by Maxwell's equatins and the assciated
More informationComputational modeling techniques
Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins
More informationSOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 4. Function spaces
SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 4 Fall 2008 IV. Functin spaces IV.1 : General prperties (Munkres, 45 47) Additinal exercises 1. Suppse that X and Y are metric spaces such that X is cmpact.
More information(2) Even if such a value of k was possible, the neutrons multiply
CHANGE OF REACTOR Nuclear Thery - Curse 227 POWER WTH REACTVTY CHANGE n this lessn, we will cnsider hw neutrn density, neutrn flux and reactr pwer change when the multiplicatin factr, k, r the reactivity,
More informationDUAL F-SIGNATURE OF COHEN-MACAULAY MODULES OVER QUOTIENT SURFACE SINGULARITIES
DUL F-SIGNTURE OF COHEN-MCULY MODULES OVER QUOTIENT SURFCE SINGULRITIES YUSUKE NKJIM. INTRODUCTION Thrughut this paper, we suppse that k is an algebraically clsed field f prime characteristic p >. Let
More informationThe Equation αsin x+ βcos family of Heron Cyclic Quadrilaterals
The Equatin sin x+ βcs x= γ and a family f Hern Cyclic Quadrilaterals Knstantine Zelatr Department Of Mathematics Cllege Of Arts And Sciences Mail Stp 94 University Of Tled Tled,OH 43606-3390 U.S.A. Intrductin
More informationMath Foundations 10 Work Plan
Math Fundatins 10 Wrk Plan Units / Tpics 10.1 Demnstrate understanding f factrs f whle numbers by: Prime factrs Greatest Cmmn Factrs (GCF) Least Cmmn Multiple (LCM) Principal square rt Cube rt Time Frame
More informationA proposition is a statement that can be either true (T) or false (F), (but not both).
400 lecture nte #1 [Ch 2, 3] Lgic and Prfs 1.1 Prpsitins (Prpsitinal Lgic) A prpsitin is a statement that can be either true (T) r false (F), (but nt bth). "The earth is flat." -- F "March has 31 days."
More informationDetermining the Accuracy of Modal Parameter Estimation Methods
Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system
More information20 Faraday s Law and Maxwell s Extension to Ampere s Law
Chapter 20 Faraday s Law and Maxwell s Extensin t Ampere s Law 20 Faraday s Law and Maxwell s Extensin t Ampere s Law Cnsider the case f a charged particle that is ming in the icinity f a ming bar magnet
More informationPattern Recognition 2014 Support Vector Machines
Pattern Recgnitin 2014 Supprt Vectr Machines Ad Feelders Universiteit Utrecht Ad Feelders ( Universiteit Utrecht ) Pattern Recgnitin 1 / 55 Overview 1 Separable Case 2 Kernel Functins 3 Allwing Errrs (Sft
More informationLead/Lag Compensator Frequency Domain Properties and Design Methods
Lectures 6 and 7 Lead/Lag Cmpensatr Frequency Dmain Prperties and Design Methds Definitin Cnsider the cmpensatr (ie cntrller Fr, it is called a lag cmpensatr s K Fr s, it is called a lead cmpensatr Ntatin
More informationDifferentiation Applications 1: Related Rates
Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm
More informationCHM112 Lab Graphing with Excel Grading Rubric
Name CHM112 Lab Graphing with Excel Grading Rubric Criteria Pints pssible Pints earned Graphs crrectly pltted and adhere t all guidelines (including descriptive title, prperly frmatted axes, trendline
More informationExperiment #3. Graphing with Excel
Experiment #3. Graphing with Excel Study the "Graphing with Excel" instructins that have been prvided. Additinal help with learning t use Excel can be fund n several web sites, including http://www.ncsu.edu/labwrite/res/gt/gt-
More informationPhys. 344 Ch 7 Lecture 8 Fri., April. 10 th,
Phys. 344 Ch 7 Lecture 8 Fri., April. 0 th, 009 Fri. 4/0 8. Ising Mdel f Ferrmagnets HW30 66, 74 Mn. 4/3 Review Sat. 4/8 3pm Exam 3 HW Mnday: Review fr est 3. See n-line practice test lecture-prep is t
More informationChapter 2 GAUSS LAW Recommended Problems:
Chapter GAUSS LAW Recmmended Prblems: 1,4,5,6,7,9,11,13,15,18,19,1,7,9,31,35,37,39,41,43,45,47,49,51,55,57,61,6,69. LCTRIC FLUX lectric flux is a measure f the number f electric filed lines penetrating
More informationThe Law of Total Probability, Bayes Rule, and Random Variables (Oh My!)
The Law f Ttal Prbability, Bayes Rule, and Randm Variables (Oh My!) Administrivia Hmewrk 2 is psted and is due tw Friday s frm nw If yu didn t start early last time, please d s this time. Gd Milestnes:
More informationChemistry 20 Lesson 11 Electronegativity, Polarity and Shapes
Chemistry 20 Lessn 11 Electrnegativity, Plarity and Shapes In ur previus wrk we learned why atms frm cvalent bnds and hw t draw the resulting rganizatin f atms. In this lessn we will learn (a) hw the cmbinatin
More informationIntroduction to Spacetime Geometry
Intrductin t Spacetime Gemetry Let s start with a review f a basic feature f Euclidean gemetry, the Pythagrean therem. In a twdimensinal crdinate system we can relate the length f a line segment t the
More information1 PreCalculus AP Unit G Rotational Trig (MCR) Name:
1 PreCalculus AP Unit G Rtatinal Trig (MCR) Name: Big idea In this unit yu will extend yur knwledge f SOH CAH TOA t wrk with btuse and reflex angles. This extensin will invlve the unit circle which will
More information7 TH GRADE MATH STANDARDS
ALGEBRA STANDARDS Gal 1: Students will use the language f algebra t explre, describe, represent, and analyze number expressins and relatins 7 TH GRADE MATH STANDARDS 7.M.1.1: (Cmprehensin) Select, use,
More informationA Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture
Few asic Facts but Isthermal Mass Transfer in a inary Miture David Keffer Department f Chemical Engineering University f Tennessee first begun: pril 22, 2004 last updated: January 13, 2006 dkeffer@utk.edu
More informationMODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards:
MODULE FOUR This mdule addresses functins SC Academic Standards: EA-3.1 Classify a relatinship as being either a functin r nt a functin when given data as a table, set f rdered pairs, r graph. EA-3.2 Use
More informationBootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >
Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);
More informationCHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came.
MATH 1342 Ch. 24 April 25 and 27, 2013 Page 1 f 5 CHAPTER 24: INFERENCE IN REGRESSION Chapters 4 and 5: Relatinships between tw quantitative variables. Be able t Make a graph (scatterplt) Summarize the
More informationChapter 9 Vector Differential Calculus, Grad, Div, Curl
Chapter 9 Vectr Differential Calculus, Grad, Div, Curl 9.1 Vectrs in 2-Space and 3-Space 9.2 Inner Prduct (Dt Prduct) 9.3 Vectr Prduct (Crss Prduct, Outer Prduct) 9.4 Vectr and Scalar Functins and Fields
More informationChapter 3 Kinematics in Two Dimensions; Vectors
Chapter 3 Kinematics in Tw Dimensins; Vectrs Vectrs and Scalars Additin f Vectrs Graphical Methds (One and Tw- Dimensin) Multiplicatin f a Vectr b a Scalar Subtractin f Vectrs Graphical Methds Adding Vectrs
More informationYou need to be able to define the following terms and answer basic questions about them:
CS440/ECE448 Sectin Q Fall 2017 Midterm Review Yu need t be able t define the fllwing terms and answer basic questins abut them: Intr t AI, agents and envirnments Pssible definitins f AI, prs and cns f
More informationFall 2013 Physics 172 Recitation 3 Momentum and Springs
Fall 03 Physics 7 Recitatin 3 Mmentum and Springs Purpse: The purpse f this recitatin is t give yu experience wrking with mmentum and the mmentum update frmula. Readings: Chapter.3-.5 Learning Objectives:.3.
More informationPhysics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018
Michael Faraday lived in the Lndn area frm 1791 t 1867. He was 29 years ld when Hand Oersted, in 1820, accidentally discvered that electric current creates magnetic field. Thrugh empirical bservatin and
More informationT Algorithmic methods for data mining. Slide set 6: dimensionality reduction
T-61.5060 Algrithmic methds fr data mining Slide set 6: dimensinality reductin reading assignment LRU bk: 11.1 11.3 PCA tutrial in mycurses (ptinal) ptinal: An Elementary Prf f a Therem f Jhnsn and Lindenstrauss,
More informationA solution of certain Diophantine problems
A slutin f certain Diphantine prblems Authr L. Euler* E7 Nvi Cmmentarii academiae scientiarum Petrplitanae 0, 1776, pp. 8-58 Opera Omnia: Series 1, Vlume 3, pp. 05-17 Reprinted in Cmmentat. arithm. 1,
More information4th Indian Institute of Astrophysics - PennState Astrostatistics School July, 2013 Vainu Bappu Observatory, Kavalur. Correlation and Regression
4th Indian Institute f Astrphysics - PennState Astrstatistics Schl July, 2013 Vainu Bappu Observatry, Kavalur Crrelatin and Regressin Rahul Ry Indian Statistical Institute, Delhi. Crrelatin Cnsider a tw
More informationThermodynamics and Equilibrium
Thermdynamics and Equilibrium Thermdynamics Thermdynamics is the study f the relatinship between heat and ther frms f energy in a chemical r physical prcess. We intrduced the thermdynamic prperty f enthalpy,
More informationPhysics 2010 Motion with Constant Acceleration Experiment 1
. Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin
More informationDepartment of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets
Department f Ecnmics, University f alifrnia, Davis Ecn 200 Micr Thery Prfessr Giacm Bnann Insurance Markets nsider an individual wh has an initial wealth f. ith sme prbability p he faces a lss f x (0
More informationx x
Mdeling the Dynamics f Life: Calculus and Prbability fr Life Scientists Frederick R. Adler cfrederick R. Adler, Department f Mathematics and Department f Bilgy, University f Utah, Salt Lake City, Utah
More informationSupport-Vector Machines
Supprt-Vectr Machines Intrductin Supprt vectr machine is a linear machine with sme very nice prperties. Haykin chapter 6. See Alpaydin chapter 13 fr similar cntent. Nte: Part f this lecture drew material
More informationLesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method.
Lessn Plan Reach: Ask the students if they ever ppped a bag f micrwave ppcrn and nticed hw many kernels were unppped at the bttm f the bag which made yu wnder if ther brands pp better than the ne yu are
More informationREADING STATECHART DIAGRAMS
READING STATECHART DIAGRAMS Figure 4.48 A Statechart diagram with events The diagram in Figure 4.48 shws all states that the bject plane can be in during the curse f its life. Furthermre, it shws the pssible
More informationPHYS 314 HOMEWORK #3
PHYS 34 HOMEWORK #3 Due : 8 Feb. 07. A unifrm chain f mass M, lenth L and density λ (measured in k/m) hans s that its bttm link is just tuchin a scale. The chain is drpped frm rest nt the scale. What des
More informationENGI 4430 Parametric Vector Functions Page 2-01
ENGI 4430 Parametric Vectr Functins Page -01. Parametric Vectr Functins (cntinued) Any nn-zer vectr r can be decmpsed int its magnitude r and its directin: r rrˆ, where r r 0 Tangent Vectr: dx dy dz dr
More informationPhysics 212. Lecture 12. Today's Concept: Magnetic Force on moving charges. Physics 212 Lecture 12, Slide 1
Physics 1 Lecture 1 Tday's Cncept: Magnetic Frce n mving charges F qv Physics 1 Lecture 1, Slide 1 Music Wh is the Artist? A) The Meters ) The Neville rthers C) Trmbne Shrty D) Michael Franti E) Radiatrs
More informationOn Topological Structures and. Fuzzy Sets
L - ZHR UNIVERSIT - GZ DENSHIP OF GRDUTE STUDIES & SCIENTIFIC RESERCH On Tplgical Structures and Fuzzy Sets y Nashaat hmed Saleem Raab Supervised by Dr. Mhammed Jamal Iqelan Thesis Submitted in Partial
More informationMath 105: Review for Exam I - Solutions
1. Let f(x) = 3 + x + 5. Math 105: Review fr Exam I - Slutins (a) What is the natural dmain f f? [ 5, ), which means all reals greater than r equal t 5 (b) What is the range f f? [3, ), which means all
More informationDistributions, spatial statistics and a Bayesian perspective
Distributins, spatial statistics and a Bayesian perspective Dug Nychka Natinal Center fr Atmspheric Research Distributins and densities Cnditinal distributins and Bayes Thm Bivariate nrmal Spatial statistics
More informationHigher Mathematics Booklet CONTENTS
Higher Mathematics Bklet CONTENTS Frmula List Item Pages The Straight Line Hmewrk The Straight Line Hmewrk Functins Hmewrk 3 Functins Hmewrk 4 Recurrence Relatins Hmewrk 5 Differentiatin Hmewrk 6 Differentiatin
More informationCurriculum Development Overview Unit Planning for 8 th Grade Mathematics MA10-GR.8-S.1-GLE.1 MA10-GR.8-S.4-GLE.2
Unit Title It s All Greek t Me Length f Unit 5 weeks Fcusing Lens(es) Cnnectins Standards and Grade Level Expectatins Addressed in this Unit MA10-GR.8-S.1-GLE.1 MA10-GR.8-S.4-GLE.2 Inquiry Questins (Engaging-
More informationGAUSS' LAW E. A. surface
Prf. Dr. I. M. A. Nasser GAUSS' LAW 08.11.017 GAUSS' LAW Intrductin: The electric field f a given charge distributin can in principle be calculated using Culmb's law. The examples discussed in electric
More informationMonroe Township School District Monroe Township, New Jersey
Mnre Twnship Schl District Mnre Twnship, New Jersey Preparing fr 6 th Grade Middle Schl *PREPARATION PACKET* Summer 2014 ***SOLVE THESE PROBLEMS WITHOUT THE USE OF A CALCULATOR AND SHOW ALL WORK*** Yu
More informationLecture 6: Phase Space and Damped Oscillations
Lecture 6: Phase Space and Damped Oscillatins Oscillatins in Multiple Dimensins The preius discussin was fine fr scillatin in a single dimensin In general, thugh, we want t deal with the situatin where:
More informationMath 302 Learning Objectives
Multivariable Calculus (Part I) 13.1 Vectrs in Three-Dimensinal Space Math 302 Learning Objectives Plt pints in three-dimensinal space. Find the distance between tw pints in three-dimensinal space. Write
More informationDistrict Adopted Materials: Pre-Calculus; Graphing and Data Analysis (Prentice Hall) 1998
Grade: High chl Curse: Trignmetry and Pre-Calculus District Adpted Materials: Pre-Calculus; Graphing and Data (Prentice Hall) 1998 tandard 1: Number and Cmputatin The student uses numerical and cmputatinal
More informationEmphases in Common Core Standards for Mathematical Content Kindergarten High School
Emphases in Cmmn Cre Standards fr Mathematical Cntent Kindergarten High Schl Cntent Emphases by Cluster March 12, 2012 Describes cntent emphases in the standards at the cluster level fr each grade. These
More informationSmoothing, penalized least squares and splines
Smthing, penalized least squares and splines Duglas Nychka, www.image.ucar.edu/~nychka Lcally weighted averages Penalized least squares smthers Prperties f smthers Splines and Reprducing Kernels The interplatin
More informationSemester 2 AP Chemistry Unit 12
Cmmn In Effect and Buffers PwerPint The cmmn in effect The shift in equilibrium caused by the additin f a cmpund having an in in cmmn with the disslved substance The presence f the excess ins frm the disslved
More informationEquilibrium of Stress
Equilibrium f Stress Cnsider tw perpendicular planes passing thrugh a pint p. The stress cmpnents acting n these planes are as shwn in ig. 3.4.1a. These stresses are usuall shwn tgether acting n a small
More informationGetting Involved O. Responsibilities of a Member. People Are Depending On You. Participation Is Important. Think It Through
f Getting Invlved O Literature Circles can be fun. It is exciting t be part f a grup that shares smething. S get invlved, read, think, and talk abut bks! Respnsibilities f a Member Remember a Literature
More informationLim f (x) e. Find the largest possible domain and its discontinuity points. Why is it discontinuous at those points (if any)?
THESE ARE SAMPLE QUESTIONS FOR EACH OF THE STUDENT LEARNING OUTCOMES (SLO) SET FOR THIS COURSE. SLO 1: Understand and use the cncept f the limit f a functin i. Use prperties f limits and ther techniques,
More informationMedium Scale Integrated (MSI) devices [Sections 2.9 and 2.10]
EECS 270, Winter 2017, Lecture 3 Page 1 f 6 Medium Scale Integrated (MSI) devices [Sectins 2.9 and 2.10] As we ve seen, it s smetimes nt reasnable t d all the design wrk at the gate-level smetimes we just
More information