10 More general formulation of quantum mechanics

Size: px
Start display at page:

Download "10 More general formulation of quantum mechanics"

Transcription

1 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 1 TILLEGG More geeral formulatio of quatum mechaics I this course we have so far bee usig the positio represetatio of quatum mechaics, ad we have briefly touched upo the mometum represetatio. I this Tillegg, we shall see that these formulatios are special cases of a more geeral formulatio. This ew formulatio is importat firstly because it offers a umber of techical advatages, simplifyig a umber of calculatios (oce we get used to the ew techique). The mai advatage, however, is that the ew formulatio allows us to treat systems which caot be described by wave mechaics, that is, with wave fuctios i x- or p-space. A cetral example is the descriptio of spi degrees of freedom. [You might wat to supplemet these otes with Hemmers chapter 6, chapter 3 i Griffiths, ad chapter 5 i B&J. Aother referece is J.J. Sakurai, Moder Quatum Mechaics, chapter 1.] 10.1 Vectors i Hilbert space 10.1.a Cetral results i the positio represetatio Let us briefly review some cetral results i the theory preseted so far: The state of a particle at a give poit i time ca be described by a spatial wave fuctio ψ(x), if we cosider a oe-dimesioal case. The value of ψ at the poit x gives the probability amplitude of fidig the particle i this positio, i the sese that ψ(x) 2 gives the probability desity. Thus, whe we kow the complete fuctio ψ(x), we kow the amplitudes of fidig the particle i all possible positios. We are free to expad the wave fuctio i terms of a arbitrary complete set of basis states. There are may such bases; we remember that for each observable there is a hermitia operator with a complete set of eigefuctios. Examples are p x, Ĥ ad x, with eigevalue equatios ad eigefuctios as follows: p x ψ p (x) = pψ p (x) ; ψ p (x) = (2π h) 1/2 e ipx/ h ; Ĥψ (x) = E ψ (x) ; ψ (x) depeds o the potetial V (x); (T10.1)

2 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 2 xψ x (x) = x ψ x (x) ; ψ x (x) = δ(x x ). Here, we are assumig a discrete ad o-degeerate eergy spectrum {E }, so that we ca use the orthoormality relatio ψ k, ψ ψ k (x)ψ (x)dx = δ k. (T10.2) All these sets of states are complete, i the sese that a arbitrary state ψ(x) may be expaded i ay of these sets. The expasio i terms of eergy eigefuctios the is a sum, while the expasios i mometum ad positio eigefuctios become itegrals, sice the spectra {x } ad {p} are cotiuous: ψ(x) = dp φ(p)ψ p (x); ψ(x) = c ψ (x); (T10.3) ψ(x) = dx c(x )ψ x (x). The expasio coefficiets φ(p), c ad c(x ) i these formulae characterize the state perfectly, like ψ(x) itself, i the same way as the compoets of a vector i a give basis gives a perfect represetatio of the vector. The expasio coefficiets i (T10.3) are the projectios of ψ oto the respective basis vectors ψ p, ψ ad ψ x (x) = δ(x x ) : φ(p) = (ψ p, ψ) = ψ p (x)ψ(x)dx; c = (ψ, ψ) = ψ (x)ψ(x)dx; c(x ) = (ψ x, ψ) = δ(x x)ψ(x)dx = ψ(x ). (T10.4) Let us repeat the proof for the formula for c, by projectig ψ(x) = c ψ (x) o ψ k. Iterchagig the order of itegratio ad summatio, we fid that ψ k, ψ = ψ k (x) c ψ (x) = c ψ k (x)ψ (x)dx = c δ k = c k, q.e.d. (T10.5) A small exercise: Fid the mometum wave fuctio φ(p) by projectig ψ o ψ p. Hit: Chage the order of the itegratios ad use the delta-fuctio ormalizatio ψ p (x)ψ p(x)dx = δ(p p). I a similar maer you ca derive the formula for c(x ) usig the relatio δ(x x )δ(x x )dx = δ(x x ). But it is eve simpler to use the idetity ψ(x) = ψ(x )δ(x x )dx.

3 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 3 We must also remember the physical iterpretatio of the expasio coefficiets: ψ(x ) is (as already metioed) the probability amplitude of fidig the particle at the positio x (i the sese that ψ(x ) 2 is the probability desity i positio space). I the same maer, φ(p) 2 is the probability desity i mometum space, ad c 2 is the probability of measurig the eergy E (ad leavig the particle i the state ψ ) b State vectors i Hilbert space. Dirac otatio The most cetral aspect of the ew formulatio is that: With each wave fuctio ψ(x) we may associate a abstract vector which is called a state vector. For such vectors we shall use the symbol..., which was iveted by Dirac. (T10.6) For this so-called ket vector we may choose a suitable label to idicate which state we have i mid. As a example, we may deote the vector correspodig to the wave fuctio ψ(x) by ψ. The vector correspodig to the eergy eigefuctio ψ (x) may be deoted by ψ (or or E ). The vector correspodig to the positio eigefuctio ψ x (x) = δ(x x ) may suitably be called x. The vector correspodig to the mometum eigefuctio ψ p (x) = (2π h) 1/2 e ipx/ h might be labeled p or ψ p, ad so o. Thus (o matter which label we choose to use) we have a oe-to-oe correspodece betwee wave fuctio ad state vector: ψ(x) ψ, ψ (x) ψ = = E, ψ x (x) = δ(x x ) x, (T10.7) ψ p (x) p = ψ p, ad so o. Here, we should ot be cofused by the fact that also wave fuctios are vectors (cf Tillegg 2, or Griffiths); The ket vector ψ ad the wave fuctio ψ(x) are differet objects; they belog to two differet vector spaces, with a oe-to-oe correspodece betwee the vectors i the two spaces. The space spaed by the ket vectors will from ow o be deoted the Hilbert space H, (eve if also the wave fuctios ψ(x) are vectors i a Hilbert space, mathematically speakig). 1 A importat property of Hilbert space (shared with all liear, complex vector spaces) is that a arbitrary liear combiatio of two vectors is also a vector i this space: c 1 ψ 1 + c 2 ψ 2 = ψ 3. (T10.8) 1 As you may recall from the discussio of the mometum eigefuctios ψ p (x), these are ot quadratically itegrable. They therefore do ot belog to the mathematical Hilbert space L 2 (, ) of quadratically itegrable fuctios, ad either do the positio eigefuctios ψ x (x) = δ(x x ). Correspodigly, the ket vectors ψ p ad x do ot really belog to the Hilbert space H. However, these vectors fuctio perfectly well as basis vectors for expasios of vectors i Hilbert space. Thus the sets { ψ p } ad { x } are complete, together with the set { ψ }. I quatum mechaics oe therefore works with a kid of elarged Hilbert space, where the vectors x ad ψ p p may largely be treated i the same way as the proper Hilbert-space vectors.

4 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 4 I particular c ψ gives a ew vector ψ 1 : 2 c ψ = ψ c = ψ 1. (T10.9) Here, ψ correspods to the wave fuctio ψ(x), ad ψ 1 correspods to cψ(x) = ψ(x)c. As you will remember, ψ(x) ad cψ(x) describe the same physical state. The same the holds for the ket-vectors ψ ad ψ 1 = c ψ c The dual Hilbert space. Scalar product To get a ew formulatio that is equivalet with the old oe, we must postulate the existece of a salar product (ier product) betwee ket vectors. Before we defie this product, it may be istructive to review how the scalar product is defied for ordiary complex vectors A ad B. I physics literature this product is usually defied as A, B = A B A i B i. (T10.10) i From this defiitio it follows that the (usually) complex scalar product satisfies the relatio A, B = B, A. (T10.11) Furthermore it is easy to see that, with c a complex umber, the scalar product has the properties A, cb = c A, B ad ca, B = c A, B. (T10.12) We the say that the scalar product V 1, V 2 is liear with respect to vector o 2 (V 2 ) ad ati-liear with respect to vector o 1 (V 1 ). Notice that the scalar product betwee fuctios has exactly the same properties: f, g = f g dτ = g, f ; f, cg = c f, g ; cf, g = c f, g. (T10.13) To obtai a coveiet otatio for the scalar product (ier product) ψ 1, ψ 2 betwee two ket-vektorer i Hilbert space, Dirac itroduced the so-called dual Hilbert space H. We create this space by associatig with every ket vector ψ i H a so-called dual vector ψ i H : dual of ψ ψ. (T10.14) Employig these ew vectors..., which Dirac called bra vectors, we ca formulate rules of calculatio ad establish the Dirac otatio, which are i fact easier to use tha the wave-fuctio formalism (ad which may also be applied to problems for which there does ot exist ay wave fuctios, like e.g. for spi). The mai reaso for itroducig the bra vector is that it allows us to write the scalar product betwee ψ 1 ad ψ 2 as a simple product of the bra vector ψ 1 ad the ket vector ψ 2 : ψ 1, ψ 2 = ψ 1 ψ 2 ψ 1 ψ 2. (T10.15) We ca ow uderstad why Dirac itroduced the ames bra ad ket: The scalar product ψ 1 ψ 2 ψ 1 ψ 2 2 Some authors also use the otatio c ψ = ψ c = cψ.

5 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 5 has the form bra ket, derived from the word bracket. Notice that ψ 1 plays a role similar to A i the dot product A, B = A B, ad to ψ 1 i the scalar product ψ 1, ψ 2 = ψ 1 ψ 2 dτ. I (T10.15), we have a additioal rule: I this ier product, the bra vector is always stadig o the left ad the ket vector is stadig o the right. The physical iterpretatio of ψ 1 ψ 2 = ψ 1, ψ 2 the projectio of ψ 2 o ψ 1 is exactly the same as for the correspodig wave fuctios: The projectio is the probability amplitude that a measuremet fids the system i the physical state correspodig to ψ 1 (ad to ψ 1 ) whe the system is i the state correspodig to ψ 2 (ad to ψ 2 ) before the measuremet. Thus ψ 1 ψ 2 ψ 1 ψ 2 = ψ 1, ψ 2 ψ 1 ψ 2 dτ. (T10.16) From the relatio ψ 1, ψ 2 = ψ 2, ψ 1 it the follows that ψ 2 ψ 1 = ( ψ 1 ψ 2 ) = complex umber, or We the see that ψ 1 ψ 2 = ψ 2 ψ 1. (T10.17) ψ 1 c ψ 2 = ψ 1, cψ 2 = c ψ 1, ψ 2 = c ψ 1 ψ 2. (T10.18) Thus the scalar product is liear i the ket vector (vector o 2). With ψ 1 = c φ we see i the same maer that Thus the dual of ψ 1 = c φ is c φ : ψ 1 ψ 2 = ψ 2 ψ 1 = (c ψ 2 φ ) = c φ ψ 2. c φ dual of c φ, (T10.19) i aalogy with (ca) = c a. We shall use this relatio frequetly. Notice that this meas that the scalar product is ati-liear with respect to vector o 1, just as f, g = f g dτ. The relatio betwee ψ ad ψ(x) While the wave fuctio is ow a well-kow ad hopefully dear fried, you are probably havig difficulties i imagiig what kid of object the abstract state vector ψ is. However, as you get more acquaited with the ew formalism, you will lear to live with the abstractess, ad you will probably ed up appreciatig the coveiece of the ew formalism, oce you lear how to use it. We shall ow attempt to preset the cetral parts of these methods, ot ecessarily i the most systematic way. Two importat aspects have already bee metioed: The dual correspodece (T10.14) ad (T10.19), together with the fact that the scalar product ψ 1 ψ 2 is the same as betwee the correspodig wave fuctios. (See (T10.16)). Thus the physical iterpretatio of the ew scalar product is the same as for the old oe: For example, the scalar product ψ ψ is the probability amplitude of fidig the particle i the state described by the vector ψ

6 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 6 (i.e., with the eergy E ) if it was i a state desrcibed by the vector ψ (correspodig to the wave fuctio ψ(x)) before the measuremet. I the same maer p ψ is the amplitude of fidig the particle described by the vector p (i.e., with mometum p). Aother example: We remember that the vector x describes a state where the particle has the positio x (correspodig to the wave fuctio ψ x (x) = δ(x x )). The scalar product x ψ therefore is the amplitude of fidig the particle at x whe it is i the state ψ. But this amplitude is precisely what the wave fuctio ψ(x ) is. Thus the relatio betwee the wave fuctio ψ(x) ad the vector ψ is x ψ = ψ(x). (T10.20) Notice also that ψ x = x ψ = ψ (x). (T10.21) 10.1.d Completeess Thus the wave fuctio ψ(x) = x ψ is the compoet of the Hilbert vector ψ i the x -directio, or the projectio of the vector ψ o the basis vector x. I the same maer the scalar product ψ ψ is the projectio of ψ o aother basis vector, ψ. As the term basis idicates, these sets are complete, as are the correspodig sets of wave fuctios (cf (T10.1)). This meas that a arbitrary vector ψ i Hilbert space may be expaded i terms of these basis sets, i aalogy with the expasios (T10.3): ψ = dp φ(p) p, ψ = c ψ, ψ = dx c(x ) x. (T10.22) Here we must of course expect that the coefficiets are the same as i (T10.4), c = ψ, ψ = ψ ψ, etc, but let us check it, to get a little experiece with the ew formalism: By projectig the secod of equatios (T10.22) o ψ k (that is, by multiplyig from the elft by ψ k ), we fid ψ k ψ = c ψ k ψ = c δ k = c k, q.e.d.. Here we have used (T10.16), which implies that the set ψ k is orthoormal, just like the set ψ k (x): ψ k ψ = ψ k, ψ = δ k. (T10.23) Isertig ito (T10.22) ow gives ψ = ψ ψ ψ. (T10.24)

7 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 7 The correspodig expasios i terms of mometum ad positio vectors are ψ = dp p ψ p, ψ = dx x ψ x. (T10.25) This ca be show by projectig (T10.22) o x ad ψ p, respectively. Both these are cotiuum sets, with δ-fuctio ormalizatio, so that istead of (T10.23) we have 3 p p = p, p = δ(p p ), Hece so that x x = ψ x, ψ x = δ(x x ). (T10.26) x ψ = dx c(x ) x x = dx c(x )δ(x x ) = c(x ), ψ = dx c(x ) x = dx x ψ x = dx x ψ x, I the same maer, p ψ = dp φ(p) p p = dp φ(p)δ(p p ) = φ(p ), Notice that p ψ = φ(p) q.e.d.. q.e.d.. (T10.27) is the amplitude of fidig the mometum p, that is, the mometum wave fuctio. Notice also that the formulae (T10.24) ad (T10.25) are aalogous to expasios of a ordiary vector i alterative basis sets ê i ad ê i, A = A i ê i = A iê i ; the compoets (A i ) deped o our choice of basis, while the vector A itself is basisidepedet; it is a absolute geometric object. The same ca be stated about the Hilbert vector ψ. The completeess relatio Equatios (T10.24) ad (T10.25) rely o the fact that the three basis sets are complete. A slight re-writig of (T10.24) gives 4 ψ = ψ ψ ψ = ψ ψ ψ ( ) = ψ ψ ψ. (T10.28) 3 Vectors with δ-fuctio ormalizatio (ad the correspodig wave fuctios) strictly speakig do ot belog to the respective Hilbert spaces, as already metioed. I quatum mechaics we prefer to iclude these vectors ito our formalism. This meas that we are workig with a exteded Hilbert space, ofte simply called the Hilbert space. 4 Notice that the scalar product ψ ψ is a complex umber, which may be moved wherever it suits us.

8 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 8 Sice this holds for a arbitrary vector ψ, it follows that ψ ψ = 1. (the completeess relatio) (T10.29) This is the completeess relatio i Dirac otatio (for a discrete vector set). As we shall see below, both sides of this equatio are operators. The quatity o the right-had side is the uit operator; 1 ψ = ψ. I a similar maer we fid for the two cotiuum sets: ( ) ψ = dx x ψ x = dx x x ψ, etc. Thus the completeess relatios for these sets are dx x x = 1, dp p p = 1. (completeess) (T10.30) I what follows we shall see that these relatios are easier to use tha the correspodig relatios for the wave fuctios (see e.g. B&J p 205): ψ (x)ψ (x ) = δ(x x ), dp ψ p (x)ψ p (x ) = δ(x x ), etc. (T10.31) As a example we ca re-write the square ψ 2 ψ ψ of the orm of ψ i several ways: ( ) ψ ψ = ψ 1 ψ = ψ dx x x ψ = dx ψ x x ψ = dx ψ (x)ψ(x) = ψ, ψ, ( ) ψ ψ = ψ ψ ψ ψ = ψ ψ ψ ψ = ψ ψ 2 ( ) ψ ψ = ψ dp p p ψ = dp p ψ 2 dp φ(p) 2. c 2, (T10.32) These relatios are geeralized Parseval relatios. Notice that the scalar product ψ ψ is always a real o-egativeumber, so that we ca defie the orm of ψ as ψ = ψ ψ 1/2 0. (T10.33) The techique applied above, of isertig the uit operators (T10.29) or (T10.31) (or a similar expressio for aother complete set) where it is suitable, is a trick that we shall use

9 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 9 frequetly i what follows. Let us as a example use this trick to show the equivalece of (T10.29) ad (T10.31): From the ormalizatio coditio (T10.26) we have: δ(x x ) = x x = x 1 x = x ψ ψ x (T10.34) = x ψ x ψ = ψ (x)ψ (x ), q.e.d Operators, eigevectors, expectatio values, etc 10.2.a Geeral defiitio of operators A operator applied to a fuctio has the property operator fuctio =ew fuctio. (T10.35) The operators appearig i the ew formulatio have the same kid of property: Whe a operator  acts o a Hilbert vector b, the result is a ew vector i Hilbert space, c =  b. I other words: Operators i Hilbert space map the space ito itself. Notice that the operator is stadig to the left of a ket vector. Example: Projectio operator The expressio P ψ ψ is a operator. Applied to a arbitrary vector ψ it gives P ψ ( ψ ψ ) ψ = ψ ψ ψ c ψ. (T10.36) Thus the operator P ψ ψ projects out the part of the vector ψ which poits i the ψ directio. It is therefore called a projectio operator. Notice that P = ψ ψ = 1. (completeess relatio) (T10.37) Thus, as already metioed, the expressio o the left i the compleess relatio is a sum of operators, addig up to the uit operator. Applyig the trick of isertig this uit operator wherever it suits us, we must therefore always let the uit operator act from the left o a ket vector. It may also stad to the right of a bra vector. Some times we shall apply the uit operator to the right of a isolated bra vector ; the resultig expressio bra vector 1 may the be applied from the left o a ket. (See sectio 10.3.b below.) 10.2.b Operators ad eigevectors As you ca see e.g. i sectio 6.4 i Hemmer book, we may use the same postulates of quatum mechaics i the ew formulatio as i the old oe, apart from the otatio: Thus to each physical observable (e.g. x, p x, E, etc) there correspods a Hermitia operator. The problem with these Hilbert-space operators is that they are as abstract as the vectors but agai we shall see that we ca live with the abstractess. For example, the oly thig we

10 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 10 eed to kow about the operator p x is that it is defieed i such a way that it satisfies the eigevalue equatio p x p = p p. (T10.38) Similarly, the operator x is defied by x x = x x. (T10.39) Thus the positio vector x is a eigevector of the operator x with the eigevalue x. We shall see that (T10.38) ad (T10.39) are sufficiet to determie the actio of the operators x ad p x o a arbitrary vector ψ. Usig the completeess relatio for the set { p } of eigevectors of p x we have ψ = dp p p ψ. (T10.40) Usig (T10.38) we the fid that the operator acts as follows: p x ψ = p x dp p p ψ = dp p x p p ψ ( ) = dp p p p ψ. Sice this holds for all ψ, we have a well-defied expressio for the operator p x : p x = dp p p p. (T10.41) (T10.42) Here, the umber p ca be placed i ay positio i the itegrad. This expressio is the so-called spectral represetatio of the operator p x ; otice that the itegral over p rus over the complete spectrum of the operator. Usig the same method we fid x = dx x x x. (T10.43) A similar procedure ca obviously be carried through for all Hermitia operators (with complete sets of eigevectors). A operator F with a cotiuous spectrum {f} ad eigevectors f ca be expressed as F = df f f f. (T10.44) A operator  with a discrete eigevalue spectrum {a } ad eigevectors a ca be writte as  = a a a, (T10.45) ad so o. The same recipe ca also be used to obtai a expressio for a arbitrary power of a Hermitia operator. Applyig p x oce more i (T10.41) we fid for example that p 2 x = dp p p 2 p, ad similarly for higher powers of p x. This way we ca also fid a expressio for a operator-valued fuctio F ( p x ). Such operator fuctios are defied by a Taylor expasio of F i powers of the argumet. Thus the operator F ( p x ) ca be writte as F ( p x ) = dp p F (p) p, (T10.46)

11 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 11 where F (p) is the fuctio F of the variable p. A example is the potetial V (x) for which the abstract potetial operator is give by V ( x) = dx x V (x ) x. (T10.47) 10.2.c Adjoit We have bee discussig Hermitia operators, but without defiig Hermiticity i Dirac otatio. The ew defiitio must of course be equivalet with the old oe, that is, we must require that the operator is self adjoit. The old defiitio of the adjoit of the operator  was (Âψ 1) ψ 2 dτ ψ 1  ψ 2 dτ, (T10.48) which may also be writte as ψ ( 1  ψ 2 dτ = ψ ) 2 Âψ 1dτ, or The equivalet defiitio i Dirac otatio is (ψ 1,  ψ 2 ) = (ψ 2, Âψ 1). a  b = b  a, (def.  ) (T10.49) where we have deoted the two arbitrary vectors by a ad b. Deotig the vector  a by c, we have from (T10.49): a  b = b c = c b. Thus the dual of the vector c =  a is a  : a  dual of  a. (T10.50) For a self adjoit (i.e. Hermitia) operator  =  we see that a  b = b  a. ( Hermitia) (T10.51) Later we shall also see that the expectatio values of Hermitia operators ad their eigevalues are real, as i the old formalism. The equivalece betwee the old defiitio (T10.48) of the adjoit ad the ew oe, (T10.49), implies that the rules of calculatio for obtaiig a adjoit (foud i Tillegg 2) apply equally well for Hilbert-space operators. Thus ( B) = B  ; ( BĈ) = Ĉ B Â, etc; (T10.52) (c F ) = c F, (c a complex umber).

12 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 12 We may also iclude the rule which follows by applyig (T10.51) twice: ( ) = Â, (T10.53) a ( ) b = b  a = a  b. The bra vector a, which is dual to the ket vector a, is ofte called the adjoit of a (ad vice versa): ( a ) = a, ( a ) = a. (T10.54) We may the obtai the adjoit of a arbitrary expressio cataiig costats, operators ad ket ad bra vectors usig the followig substitutios: c c ; (costat)   ; (operator) ; (ket bra) (T10.55) ; (bra ket) while the order of the terms is reversed. Note, however, that costats ad scalar products like a b ad a  b ca be moved aroud freely, because they are all complex umbers. Examples: (i) The adjoit of the operator c u  v φ ψ is ψ φ v  u c = c v  u ψ φ. (ii) The adjoit of the ket vector c u v w is the bra vector 10.2.d Expectatio values w v u c = c w v u. The expectatio value of a observable F is i Dirac otatio give by F ψ = ψ F ψ. (expectatio value) (T10.56) Let us check that this defiitio is equivalet with the old oe (cf Postulate C i Tillegg 2): We take F = x as a example ad use the stadard trick: x ψ = ψ x 1 ψ = ψ x dx x x ψ = dx ψ x x x ψ = dx ψ (x ) x ψ(x ), q.e.d. (You ca derive the same result more directly by usig (T10.43)). Furthermore we have from (T10.27) ad (T10.42): p x ψ = ψ p x ψ = dp ψ p p p ψ = dp φ (p) p φ(p) = dp φ(p) 2 p, (T10.57)

13 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 13 where p ψ = φ(p) is the amplitude of fidig the mometum p (i.e., the mometum wave fuctio) ad φ(p) 2 is the probability desity i mometum space. More geerally, we have for a (Hermitia) operator  with eigevalues a ad eigevectors a (cf (T10.45)): A ψ = ψ  ψ = ψ a a a ψ = a ψ a a ψ = a ψ 2 a P (a )a, (T10.58) where P (a ) = a ψ 2 is the probability of measurig a. Notice that the Hermiticity of  implies that A ψ is real for all ψ (cf (T10.51)). I particular, if we set ψ = a, equatio (T10.58) gives A a = a, showig that all eigevalues a are real, as we have see before Equatio of state. Positio ad mometum represetatios 10.3.a Equatio of state So far we have ot discussed the time depedece of state vectors. A time-depedet wave fuctio Ψ(x, t) must correspod to a time-depedet Hilbert vector Ψ(t) : Ψ(x, t) = x Ψ(t). (T10.59) We shall postulate that the quatum-mechaical equatio of motio for Ψ(t), or the equatio of state, geerally has the same form as the Schrödiger equatio, i h d Ψ(t) = Ĥ Ψ(t), dt (T10.60) also for systems that ca ot be described by ordiary wave fuctios (cf spi degrees of freedom). We may call this equatio a geeralized Schrödiger equatio. I this equatio, Ĥ is the Hamiltoia of the system, which determies how Ψ(t) develops as a fuctio of time. Supposig that Ĥ is Hermitia, we may say that Ψ(t) rotates i Hilbert space, sice the orm is the coserved. This follows from (T10.60): sice Ĥ = Ĥ whe Ĥ is Hermitia. d dt Ψ(t) Ψ(t) = ( d d Ψ ) Ψ + Ψ dt dt Ψ = 1 i h Ψ Ĥ Ψ + Ψ 1 Ĥ Ψ i h = ī h Ψ (Ĥ Ĥ) Ψ = 0, q.e.d., (T10.61)

14 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics b Positio ad mometum represetatios For systems which ca be described by wave fuctios, equatio (T10.60) must of course be equivalet to the Schrödiger equatio, as is also idicated by the form of the proposed equatio (T10.60). We shall see that the Schrödiger equatio ad the old formulatio of quatum mechaics i positio space, which we call the positio represetatio, follows simply by projectig (T10.60) oto the x basis. I the same maer, the mometum represetatio will follow whe we project (T10.60) o the mometum basis p. We start by establishig some simple formulae, which are very hady tools both here ad i other coectios: x x = x x ; (T10.62) x p x = h i x x ; p p x = p p ; p x = h i p p. (T10.63) (T10.64) (T10.65) These formulae ca be geeralized, with the operators x ad p x replaced by powers of these operators, ad hece also with operator-valued fuctios which ca be expaded i powers: x F ( x, p x ) = F (x, h i x ) x ; p F ( x, p x ) = F ( h i p, p) p. (T10.66) (T10.67) All these expressios become meaigful whe they are applied from the left o a chose ket vector. Proof of the relatios above: Equatios (T10.62) ad (T10.64) follow by takig the adjoit of the eigevector equatios (T10.39) ad (T10.38) (cf the rules (T10.55)). Formula (T10.63) is show as follows: From the relatio x p = ψ p (x ) = (2π h) 1/2 e ipx / h = p x (T10.68) we have the idetities p x p = h i x x p ad x p x = h i p p x. Usig the stadard trick with the completeess relatio, we the have x p x 1 = x p x dp p p = x dp p p p = dp x p p p = dp h i x x p p = h i x x dp p p = h i (T10.69) x x 1, q.e.d. (T10.70)

15 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 15 (Notice that the use of (T10.42) for the operator p x would save us from the first steps i this derivatio). Equatio (T10.65) is proved i the same maer. The proof (T10.70) of equatio (T10.63) ca easily be geeralized to arbitrary powers of p x, so that a power p x to the right of x ca be replaced by the correspodig power ( h ) i x to the left of x. Similar statemets are valid for all four of the relatios (T10.62) (T10.65). This also holds for sums of powers, that is, for Taylor expasios. This prooves (T10.66) ad (T10.67). It is ow a trivial matter to derive the Schrödiger equatio from the geeralized equatio (T10.60). Projectig the latter o x we fid from (T10.66): i h d dt x x Ψ(t) = x Ĥ( x, p x) Ψ(t) = Ĥ(x, h i x ) x Ψ(t), or i h t Ψ(x, t) = Ĥ(x, h i x )Ψ(x, t), (T10.71) which is the Schrödiger equatio i the positio represetatio. It is ow ot really ecessary to show that also the mometum represetatio follows from (T10.60), because we kow that it follows from (T10.71) (which follows from (T10.60)). But let us do it ayway, to get some more practice: By projectig (T10.60) o p we have from (T10.67) i h d p Ψ(t) = dt p Ĥ( x, p x) Ψ(t) = Ĥ( h p i p, p) p Ψ(t). Here, p Ψ(t) is the amplitude of fidig the mometum p at the time t, which is of course idetical to the mometum-space wave fuctio Φ(p, t). Thus we have i h t Φ(p, t) = Ĥ( h i, p)φ(p, t), p (T10.72) which is the Schrödiger equatio i the mometum represetatio (cf Tillegg 2). The derivatio of (T10.71) ad (T10.72) show that x ad p x (ad hece also Ĥ) i the positio ad mometum represetatios ca be read straight out from the right-had sides of equatios (T10.62) (T10.67). This is because if we let e.g. p x act o a vector ψ, we get a ew vector which we may call ψ. This vector correspods to the wave fuctio ψ(x ) = x ψ = x p x ψ (T10.63) = = h i x ψ(x ). h i x x ψ (T10.73) This shows that the mometum operator i the positio represetatio is h ; which ca i x be read out from the right-had side of (T10.63). As a little exercise, let us show that the Hilbert-space operators x ad p x satisfy the commutatio relatio [ x, p x ] = i h 1. (T10.74)

16 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 16 There are several ways to show this. together with (T10.62) ad (T10.63): Here we do it by usig the completeess relatio x p x p x x = = = = = = dx x x ( x p x p x x) dx x ( x x p x x p x x) dx x dx x dx x ( ( ( x x p x h i x h i x h i x x h i x x h i dx x i h x = i h 1, ) x x x ) x x x ( ) x x x h x i q.e.d. ) x x Notice the order of the factors: x x p x = x x p x = x h i x p x x = h i 10.4 Matrix mechaics x x ; x x x = h i x x x. I the preceedig sectio we saw that the positio ad mometum represetatios follow whe we project the equatio of state (T10.60) o the x - ad p -bases, respectively. These are two of may possible represetatios. I this sectio we shall see what kid of represetatio that results from the projectio o a discrete basis a Matrix represetatios of vectors ad operators We cosider a discrete set of basis vectors 1, 2,, which are orthoormalized; k = δ k. (T10.75) A vector a = 1 a = k k k a = k k a k may the be represeted by the compoets (or coordiates ) which we may call a k ; k a a k ; a = k a k k. (T10.76)

17 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 17 These compoets may coveietly be collected i a colum matrix a. Similarly, the bra vector a = a k k k may be represeted by the row matrix a = (a 1, a 2,...). We ote that this row matrix is the adjoit (or Hermitia cojugate) of the colum matrix a. 5 The scalar product may the be writte as b a = b 1 a = b k k a = k k a 1 a 2 = (b 1, b 2,...). b k a k b a. (T10.77) A operator  is ow represeted by a matrix. This follows whe we cosider the compoets of the vector c =  a, which are k c = k  a = k  a, that is, c k = A k a, or i matrix form: c 1 c 2. = A 11 A 12 A 21 Similarly, employig two uit operators, we have b  a = k, b k k  a = (b 1, b 2,...). a 1 a 2 A 11 A 12 A a 1 a 2. (T10.78) b Aa. (T10.79) A product of two operators is represeted by the product of the two matrices: that is, ( B) k = k  B = k  m m B = A km B m, m m (AB) = (A)(B). For the adjoit of a operator  we have from (T10.49) ( ) k = k  =  k = A k, A = Ã. or (T10.80) (T10.81) Thus the operator  is represeted by the adjoit (or Hermitia cojugate) of the matrix. 5 Takig the adjoit, or Hermitia cojugate, of a matrix correspods to takig the traspose cojugate; M M.

18 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics b Chage of basis *** 6 The freedom i the choice of basis makes it iterestig to see how a chage of basis works. Suppose that we wat to chage from the origial basis k (labeled by lati letters) to a ew discrete set α (α = 1, 2,...), labeled by greek letters (to distiguish betwee old ad ew compoets). The ew basis vectors ca be expressed i terms of the old oes: α = k k k α k k S kα. (T10.82) Here, S kα k α is the projectio of the ew vector o α o the old vector o k. Thus the umbers S kα are the compoets of the ew vectors i the old basis. These complex umbers may be collected i a matrix S. Thus we have k α = S kα, If the ew basis is to be orthoormal we must have α k = k α = S kα = (S ) αk. (T10.83) δ βα! = β α = k β k k α = k S βk S kα = (S S) βα. (T10.84) I the same maer, δ k = k = α k α α = α S kα S α = (SS ) k. Whe these relatios are satisfied, the matrix S is said to be uitary: S S = SS = 1; S = S 1, (uitarity). (T10.85) We may call S the trasformatio matrix, because it gives the coectio betwee vector compoets i the old ad ew bases, ad similarly for the operator matrices. Thus the ew matrix elemets of the operator  are A βα β  α = k, β k k A α = k, S βk A ks α, or o matrix form: A y = S AS. (T10.86) Furthermore, the vector a = k k k a is i the ew basis represeted by the compoets a α α a = k α k k a = k S αk a k, 6 ot compulsory

19 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 19 or o matrix form: For a bra vector we fid similarly a y = S a. (T10.87) b β = b β = b β = b β = b S β, or o matrix form b y = b S. (T10.88) Such a uitary trasformatio (chage of basis) of course does ot alter the physics of a give problem. For example, all scalar products are coserved uder the trasformatio: By combiig (T10.75) (T10.78) we fid that b ya y a y = (b S)(S AS)(S a) = b Aa. This is how it should be, because the scalar product may also be writte as is basis idepedet. b  a, which Diagoalizatio Some times oe wishes to fid a ew basis set { α } which are eigevectors of a give operator Â,  α = a α α, (T10.89) so that the matrix A y becomes diagoal: A βα = β  α = a αδ βα. (T10.90) Thus the task of fidig the eigevalues of the operator  is equivalet to diagoalizig the A-matrix. This diagoalizatio problem, i.e., to fid the compoets k α (equal to S kα ) of the vectors α, ca i priciple be solved startig with the o-diagoal matrix A k (i the old basis). This procedure is relevat whe workig with a fiite-dimesioal sub-space of the Hilbert space. From (T10.89) we the have: or o matrix form: N k  α = a α k α, =1 that is, A k S α = a α S kα ; α = 1, 2,, N; A 11 A 12 A 1N A 21. A N1 A NN S 1α S 2α S 1α S 2α. α. S Nα S Nα. (T10.91)

20 TFY4250/FY2045 Tillegg 10 - More geeral formulatio of quatum mechaics 20 Colum umber α i the matrix S the is a eigevector of the A k matrix. By solvig this eigevalue problem for the N eigevalues a α, oe fids the N colums of the matrix S. Notice that the N eigevalues are foud by settig the system determiat equal to zero: det[a a α 1] = 0. (T10.92) Sice the determiat is a polyomial i a α of degree N, it follows that this so-called characteristic equatio has N roots. These roots are the eigevalues a α ; α = 1, 2,, N. If oe is iterested oly i the eigevalues, it suffices to fid these roots. If oe also wishes to fid the vectors α, the (T10.91) must be solved for the N eigevalues a α, so that the compoets S α = α of α ca be determied c Equatio of state o matrix form The projectio of the equatio of state (T10.60) o the k basis gives the equatio i h d dt k Ψ(t) = k Ĥ Ψ(t) = k Ĥ Ψ(t), or i h d dt Ψ k(t) = H k Ψ (t). (T10.93) The time-depedet k -compoets Ψ k (t) of Ψ(t) thus are give by a coupled set of first-order differetial equatios i t. O matrix form: i h d dt Ψ 1 (t) Ψ 2 (t). = H 11 H 12 H 21. Ψ 1 (t) Ψ 2 (t).. (T10.94) Note that if oe diagoalizes this Hamiltoia matrix, the the diagoal elemets (i.e., the eigevalues of the H matrix) are the eergies E α of the statioary states of the system at had. These eergies are determied by equatio (T10.92): det[h E α 1] = 0. (T10.95) Usig the method described above, oe ca also fid the correspodig eigevectors α of Ĥ, which correspod to the eergy eigestates of the system. The matrix formulatio of quatum mechaics is kow as matrix mechaics, ad is the formulatio that was actually foud first, by Werer Heiseberg i 1925, a few moths before Schrødiger preseted his wave mechaics.

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001. Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;

More information

Assignment 2 Solutions SOLUTION. ϕ 1 Â = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ.

Assignment 2 Solutions SOLUTION. ϕ 1  = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ. PHYSICS 34 QUANTUM PHYSICS II (25) Assigmet 2 Solutios 1. With respect to a pair of orthoormal vectors ϕ 1 ad ϕ 2 that spa the Hilbert space H of a certai system, the operator  is defied by its actio

More information

The time evolution of the state of a quantum system is described by the time-dependent Schrödinger equation (TDSE): ( ) ( ) 2m "2 + V ( r,t) (1.

The time evolution of the state of a quantum system is described by the time-dependent Schrödinger equation (TDSE): ( ) ( ) 2m 2 + V ( r,t) (1. Adrei Tokmakoff, MIT Departmet of Chemistry, 2/13/2007 1-1 574 TIME-DEPENDENT QUANTUM MECHANICS 1 INTRODUCTION 11 Time-evolutio for time-idepedet Hamiltoias The time evolutio of the state of a quatum system

More information

Inverse Matrix. A meaning that matrix B is an inverse of matrix A.

Inverse Matrix. A meaning that matrix B is an inverse of matrix A. Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix

More information

Representations of State Vectors and Operators

Representations of State Vectors and Operators Chapter 10 Represetatios of State Vectors ad Operators I the precedig Chapters, the mathematical ideas uderpiig the quatum theory have bee developed i a fairly geeral (though, admittedly, ot a mathematically

More information

In the preceding Chapters, the mathematical ideas underpinning the quantum theory have been

In the preceding Chapters, the mathematical ideas underpinning the quantum theory have been Chapter Matrix Represetatios of State Vectors ad Operators I the precedig Chapters, the mathematical ideas uderpiig the quatum theory have bee developed i a fairly geeral (though, admittedly, ot a mathematically

More information

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j. Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α

More information

Probability, Expectation Value and Uncertainty

Probability, Expectation Value and Uncertainty Chapter 1 Probability, Expectatio Value ad Ucertaity We have see that the physically observable properties of a quatum system are represeted by Hermitea operators (also referred to as observables ) such

More information

CHAPTER I: Vector Spaces

CHAPTER I: Vector Spaces CHAPTER I: Vector Spaces Sectio 1: Itroductio ad Examples This first chapter is largely a review of topics you probably saw i your liear algebra course. So why cover it? (1) Not everyoe remembers everythig

More information

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row:

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row: Math 5-4 Tue Feb 4 Cotiue with sectio 36 Determiats The effective way to compute determiats for larger-sized matrices without lots of zeroes is to ot use the defiitio, but rather to use the followig facts,

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

CHAPTER 5. Theory and Solution Using Matrix Techniques

CHAPTER 5. Theory and Solution Using Matrix Techniques A SERIES OF CLASS NOTES FOR 2005-2006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 3 A COLLECTION OF HANDOUTS ON SYSTEMS OF ORDINARY DIFFERENTIAL

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

1 Adiabatic and diabatic representations

1 Adiabatic and diabatic representations 1 Adiabatic ad diabatic represetatios 1.1 Bor-Oppeheimer approximatio The time-idepedet Schrödiger equatio for both electroic ad uclear degrees of freedom is Ĥ Ψ(r, R) = E Ψ(r, R), (1) where the full molecular

More information

C191 - Lecture 2 - Quantum states and observables

C191 - Lecture 2 - Quantum states and observables C191 - Lecture - Quatum states ad observables I ENTANGLED STATES We saw last time that quatum mechaics allows for systems to be i superpositios of basis states May of these superpositios possess a uiquely

More information

Physics 232 Gauge invariance of the magnetic susceptibilty

Physics 232 Gauge invariance of the magnetic susceptibilty Physics 232 Gauge ivariace of the magetic susceptibilty Peter Youg (Dated: Jauary 16, 2006) I. INTRODUCTION We have see i class that the followig additioal terms appear i the Hamiltoia o addig a magetic

More information

CALCULATING FIBONACCI VECTORS

CALCULATING FIBONACCI VECTORS THE GENERALIZED BINET FORMULA FOR CALCULATING FIBONACCI VECTORS Stuart D Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithacaedu ad Dai Novak Departmet

More information

The Growth of Functions. Theoretical Supplement

The Growth of Functions. Theoretical Supplement The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that

More information

Determinants of order 2 and 3 were defined in Chapter 2 by the formulae (5.1)

Determinants of order 2 and 3 were defined in Chapter 2 by the formulae (5.1) 5. Determiats 5.. Itroductio 5.2. Motivatio for the Choice of Axioms for a Determiat Fuctios 5.3. A Set of Axioms for a Determiat Fuctio 5.4. The Determiat of a Diagoal Matrix 5.5. The Determiat of a Upper

More information

Linear Regression Demystified

Linear Regression Demystified Liear Regressio Demystified Liear regressio is a importat subject i statistics. I elemetary statistics courses, formulae related to liear regressio are ofte stated without derivatio. This ote iteds to

More information

CALCULATION OF FIBONACCI VECTORS

CALCULATION OF FIBONACCI VECTORS CALCULATION OF FIBONACCI VECTORS Stuart D. Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithaca.edu ad Dai Novak Departmet of Mathematics, Ithaca College

More information

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row:

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row: Math 50-004 Tue Feb 4 Cotiue with sectio 36 Determiats The effective way to compute determiats for larger-sized matrices without lots of zeroes is to ot use the defiitio, but rather to use the followig

More information

MATH10212 Linear Algebra B Proof Problems

MATH10212 Linear Algebra B Proof Problems MATH22 Liear Algebra Proof Problems 5 Jue 26 Each problem requests a proof of a simple statemet Problems placed lower i the list may use the results of previous oes Matrices ermiats If a b R the matrix

More information

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4. 4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad

More information

Matrices and vectors

Matrices and vectors Oe Matrices ad vectors This book takes for grated that readers have some previous kowledge of the calculus of real fuctios of oe real variable It would be helpful to also have some kowledge of liear algebra

More information

C. Complex Numbers. x 6x + 2 = 0. This equation was known to have three real roots, given by simple combinations of the expressions

C. Complex Numbers. x 6x + 2 = 0. This equation was known to have three real roots, given by simple combinations of the expressions C. Complex Numbers. Complex arithmetic. Most people thik that complex umbers arose from attempts to solve quadratic equatios, but actually it was i coectio with cubic equatios they first appeared. Everyoe

More information

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018 CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical

More information

COURSE INTRODUCTION: WHAT HAPPENS TO A QUANTUM PARTICLE ON A PENDULUM π 2 SECONDS AFTER IT IS TOSSED IN?

COURSE INTRODUCTION: WHAT HAPPENS TO A QUANTUM PARTICLE ON A PENDULUM π 2 SECONDS AFTER IT IS TOSSED IN? COURSE INTRODUCTION: WHAT HAPPENS TO A QUANTUM PARTICLE ON A PENDULUM π SECONDS AFTER IT IS TOSSED IN? DROR BAR-NATAN Follows a lecture give by the author i the trivial otios semiar i Harvard o April 9,

More information

REVISION SHEET FP1 (MEI) ALGEBRA. Identities In mathematics, an identity is a statement which is true for all values of the variables it contains.

REVISION SHEET FP1 (MEI) ALGEBRA. Identities In mathematics, an identity is a statement which is true for all values of the variables it contains. The mai ideas are: Idetities REVISION SHEET FP (MEI) ALGEBRA Before the exam you should kow: If a expressio is a idetity the it is true for all values of the variable it cotais The relatioships betwee

More information

Machine Learning for Data Science (CS 4786)

Machine Learning for Data Science (CS 4786) Machie Learig for Data Sciece CS 4786) Lecture & 3: Pricipal Compoet Aalysis The text i black outlies high level ideas. The text i blue provides simple mathematical details to derive or get to the algorithm

More information

2 Geometric interpretation of complex numbers

2 Geometric interpretation of complex numbers 2 Geometric iterpretatio of complex umbers 2.1 Defiitio I will start fially with a precise defiitio, assumig that such mathematical object as vector space R 2 is well familiar to the studets. Recall that

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

The Riemann Zeta Function

The Riemann Zeta Function Physics 6A Witer 6 The Riema Zeta Fuctio I this ote, I will sketch some of the mai properties of the Riema zeta fuctio, ζ(x). For x >, we defie ζ(x) =, x >. () x = For x, this sum diverges. However, we

More information

Polynomial Functions and Their Graphs

Polynomial Functions and Their Graphs Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively

More information

Math 155 (Lecture 3)

Math 155 (Lecture 3) Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,

More information

Office: JILA A709; Phone ;

Office: JILA A709; Phone ; Office: JILA A709; Phoe 303-49-7841; email: weberjm@jila.colorado.edu Problem Set 5 To be retured before the ed of class o Wedesday, September 3, 015 (give to me i perso or slide uder office door). 1.

More information

(VII.A) Review of Orthogonality

(VII.A) Review of Orthogonality VII.A Review of Orthogoality At the begiig of our study of liear trasformatios i we briefly discussed projectios, rotatios ad projectios. I III.A, projectios were treated i the abstract ad without regard

More information

Kinetics of Complex Reactions

Kinetics of Complex Reactions Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet

More information

Quantum Mechanics I. 21 April, x=0. , α = A + B = C. ik 1 A ik 1 B = αc.

Quantum Mechanics I. 21 April, x=0. , α = A + B = C. ik 1 A ik 1 B = αc. Quatum Mechaics I 1 April, 14 Assigmet 5: Solutio 1 For a particle icidet o a potetial step with E < V, show that the magitudes of the amplitudes of the icidet ad reflected waves fuctios are the same Fid

More information

ECON 3150/4150, Spring term Lecture 3

ECON 3150/4150, Spring term Lecture 3 Itroductio Fidig the best fit by regressio Residuals ad R-sq Regressio ad causality Summary ad ext step ECON 3150/4150, Sprig term 2014. Lecture 3 Ragar Nymoe Uiversity of Oslo 21 Jauary 2014 1 / 30 Itroductio

More information

Symmetric Matrices and Quadratic Forms

Symmetric Matrices and Quadratic Forms 7 Symmetric Matrices ad Quadratic Forms 7.1 DIAGONALIZAION OF SYMMERIC MARICES SYMMERIC MARIX A symmetric matrix is a matrix A such that. A = A Such a matrix is ecessarily square. Its mai diagoal etries

More information

8. Applications To Linear Differential Equations

8. Applications To Linear Differential Equations 8. Applicatios To Liear Differetial Equatios 8.. Itroductio 8.. Review Of Results Cocerig Liear Differetial Equatios Of First Ad Secod Orders 8.3. Eercises 8.4. Liear Differetial Equatios Of Order N 8.5.

More information

5.1. The Rayleigh s quotient. Definition 49. Let A = A be a self-adjoint matrix. quotient is the function. R(x) = x,ax, for x = 0.

5.1. The Rayleigh s quotient. Definition 49. Let A = A be a self-adjoint matrix. quotient is the function. R(x) = x,ax, for x = 0. 40 RODICA D. COSTIN 5. The Rayleigh s priciple ad the i priciple for the eigevalues of a self-adjoit matrix Eigevalues of self-adjoit matrices are easy to calculate. This sectio shows how this is doe usig

More information

1 1 2 = show that: over variables x and y. [2 marks] Write down necessary conditions involving first and second-order partial derivatives for ( x0, y

1 1 2 = show that: over variables x and y. [2 marks] Write down necessary conditions involving first and second-order partial derivatives for ( x0, y Questio (a) A square matrix A= A is called positive defiite if the quadratic form waw > 0 for every o-zero vector w [Note: Here (.) deotes the traspose of a matrix or a vector]. Let 0 A = 0 = show that:

More information

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx) Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso

More information

R is a scalar defined as follows:

R is a scalar defined as follows: Math 8. Notes o Dot Product, Cross Product, Plaes, Area, ad Volumes This lecture focuses primarily o the dot product ad its may applicatios, especially i the measuremet of agles ad scalar projectio ad

More information

Chimica Inorganica 3

Chimica Inorganica 3 himica Iorgaica Irreducible Represetatios ad haracter Tables Rather tha usig geometrical operatios, it is ofte much more coveiet to employ a ew set of group elemets which are matrices ad to make the rule

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

Math 113 Exam 3 Practice

Math 113 Exam 3 Practice Math Exam Practice Exam will cover.-.9. This sheet has three sectios. The first sectio will remid you about techiques ad formulas that you should kow. The secod gives a umber of practice questios for you

More information

Notes The Incremental Motion Model:

Notes The Incremental Motion Model: The Icremetal Motio Model: The Jacobia Matrix I the forward kiematics model, we saw that it was possible to relate joit agles θ, to the cofiguratio of the robot ed effector T I this sectio, we will see

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

Lecture 25 (Dec. 6, 2017)

Lecture 25 (Dec. 6, 2017) Lecture 5 8.31 Quatum Theory I, Fall 017 106 Lecture 5 (Dec. 6, 017) 5.1 Degeerate Perturbatio Theory Previously, whe discussig perturbatio theory, we restricted ourselves to the case where the uperturbed

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

TMA4205 Numerical Linear Algebra. The Poisson problem in R 2 : diagonalization methods

TMA4205 Numerical Linear Algebra. The Poisson problem in R 2 : diagonalization methods TMA4205 Numerical Liear Algebra The Poisso problem i R 2 : diagoalizatio methods September 3, 2007 c Eiar M Røquist Departmet of Mathematical Scieces NTNU, N-749 Trodheim, Norway All rights reserved A

More information

Sequences. Notation. Convergence of a Sequence

Sequences. Notation. Convergence of a Sequence Sequeces A sequece is essetially just a list. Defiitio (Sequece of Real Numbers). A sequece of real umbers is a fuctio Z (, ) R for some real umber. Do t let the descriptio of the domai cofuse you; it

More information

REVISION SHEET FP1 (MEI) ALGEBRA. Identities In mathematics, an identity is a statement which is true for all values of the variables it contains.

REVISION SHEET FP1 (MEI) ALGEBRA. Identities In mathematics, an identity is a statement which is true for all values of the variables it contains. the Further Mathematics etwork wwwfmetworkorguk V 07 The mai ideas are: Idetities REVISION SHEET FP (MEI) ALGEBRA Before the exam you should kow: If a expressio is a idetity the it is true for all values

More information

5.74 TIME-DEPENDENT QUANTUM MECHANICS

5.74 TIME-DEPENDENT QUANTUM MECHANICS p. 1 5.74 TIME-DEPENDENT QUANTUM MECHANICS The time evolutio of the state of a system is described by the time-depedet Schrödiger equatio (TDSE): i t ψ( r, t)= H ˆ ψ( r, t) Most of what you have previously

More information

Singular value decomposition. Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaine

Singular value decomposition. Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaine Lecture 11 Sigular value decompositio Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaie V1.2 07/12/2018 1 Sigular value decompositio (SVD) at a glace Motivatio: the image of the uit sphere S

More information

The Method of Least Squares. To understand least squares fitting of data.

The Method of Least Squares. To understand least squares fitting of data. The Method of Least Squares KEY WORDS Curve fittig, least square GOAL To uderstad least squares fittig of data To uderstad the least squares solutio of icosistet systems of liear equatios 1 Motivatio Curve

More information

CS284A: Representations and Algorithms in Molecular Biology

CS284A: Representations and Algorithms in Molecular Biology CS284A: Represetatios ad Algorithms i Molecular Biology Scribe Notes o Lectures 3 & 4: Motif Discovery via Eumeratio & Motif Represetatio Usig Positio Weight Matrix Joshua Gervi Based o presetatios by

More information

Bertrand s Postulate

Bertrand s Postulate Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a

More information

September 2012 C1 Note. C1 Notes (Edexcel) Copyright - For AS, A2 notes and IGCSE / GCSE worksheets 1

September 2012 C1 Note. C1 Notes (Edexcel) Copyright   - For AS, A2 notes and IGCSE / GCSE worksheets 1 September 0 s (Edecel) Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

Lecture #3. Math tools covered today

Lecture #3. Math tools covered today Toay s Program:. Review of previous lecture. QM free particle a particle i a bo. 3. Priciple of spectral ecompositio. 4. Fourth Postulate Math tools covere toay Lecture #3. Lear how to solve separable

More information

Orthogonal transformations

Orthogonal transformations Orthogoal trasformatios October 12, 2014 1 Defiig property The squared legth of a vector is give by takig the dot product of a vector with itself, v 2 v v g ij v i v j A orthogoal trasformatio is a liear

More information

Math 113 Exam 3 Practice

Math 113 Exam 3 Practice Math Exam Practice Exam 4 will cover.-., 0. ad 0.. Note that eve though. was tested i exam, questios from that sectios may also be o this exam. For practice problems o., refer to the last review. This

More information

PHY4905: Nearly-Free Electron Model (NFE)

PHY4905: Nearly-Free Electron Model (NFE) PHY4905: Nearly-Free Electro Model (NFE) D. L. Maslov Departmet of Physics, Uiversity of Florida (Dated: Jauary 12, 2011) 1 I. REMINDER: QUANTUM MECHANICAL PERTURBATION THEORY A. No-degeerate eigestates

More information

1. Hydrogen Atom: 3p State

1. Hydrogen Atom: 3p State 7633A QUANTUM MECHANICS I - solutio set - autum. Hydroge Atom: 3p State Let us assume that a hydroge atom is i a 3p state. Show that the radial part of its wave fuctio is r u 3(r) = 4 8 6 e r 3 r(6 r).

More information

The Heisenberg versus the Schrödinger picture in quantum field theory. Dan Solomon Rauland-Borg Corporation 3450 W. Oakton Skokie, IL USA

The Heisenberg versus the Schrödinger picture in quantum field theory. Dan Solomon Rauland-Borg Corporation 3450 W. Oakton Skokie, IL USA 1 The Heiseberg versus the chrödiger picture i quatum field theory by Da olomo Raulad-Borg Corporatio 345 W. Oakto kokie, IL 677 UA Phoe: 847-324-8337 Email: da.solomo@raulad.com PAC 11.1-z March 15, 24

More information

Beurling Integers: Part 2

Beurling Integers: Part 2 Beurlig Itegers: Part 2 Isomorphisms Devi Platt July 11, 2015 1 Prime Factorizatio Sequeces I the last article we itroduced the Beurlig geeralized itegers, which ca be represeted as a sequece of real umbers

More information

Chapter Vectors

Chapter Vectors Chapter 4. Vectors fter readig this chapter you should be able to:. defie a vector. add ad subtract vectors. fid liear combiatios of vectors ad their relatioship to a set of equatios 4. explai what it

More information

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

x a x a Lecture 2 Series (See Chapter 1 in Boas)

x a x a Lecture 2 Series (See Chapter 1 in Boas) Lecture Series (See Chapter i Boas) A basic ad very powerful (if pedestria, recall we are lazy AD smart) way to solve ay differetial (or itegral) equatio is via a series expasio of the correspodig solutio

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

INTEGRATION BY PARTS (TABLE METHOD)

INTEGRATION BY PARTS (TABLE METHOD) INTEGRATION BY PARTS (TABLE METHOD) Suppose you wat to evaluate cos d usig itegratio by parts. Usig the u dv otatio, we get So, u dv d cos du d v si cos d si si d or si si d We see that it is ecessary

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

More information

Rotationally invariant integrals of arbitrary dimensions

Rotationally invariant integrals of arbitrary dimensions September 1, 14 Rotatioally ivariat itegrals of arbitrary dimesios James D. Wells Physics Departmet, Uiversity of Michiga, A Arbor Abstract: I this ote itegrals over spherical volumes with rotatioally

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows

More information

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

Chapter 9 - CD companion 1. A Generic Implementation; The Common-Merge Amplifier. 1 τ is. ω ch. τ io

Chapter 9 - CD companion 1. A Generic Implementation; The Common-Merge Amplifier. 1 τ is. ω ch. τ io Chapter 9 - CD compaio CHAPTER NINE CD-9.2 CD-9.2. Stages With Voltage ad Curret Gai A Geeric Implemetatio; The Commo-Merge Amplifier The advaced method preseted i the text for approximatig cutoff frequecies

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio

More information

A Lattice Green Function Introduction. Abstract

A Lattice Green Function Introduction. Abstract August 5, 25 A Lattice Gree Fuctio Itroductio Stefa Hollos Exstrom Laboratories LLC, 662 Nelso Park Dr, Logmot, Colorado 853, USA Abstract We preset a itroductio to lattice Gree fuctios. Electroic address:

More information

Algebra of Least Squares

Algebra of Least Squares October 19, 2018 Algebra of Least Squares Geometry of Least Squares Recall that out data is like a table [Y X] where Y collects observatios o the depedet variable Y ad X collects observatios o the k-dimesioal

More information

MAT 271 Project: Partial Fractions for certain rational functions

MAT 271 Project: Partial Fractions for certain rational functions MAT 7 Project: Partial Fractios for certai ratioal fuctios Prerequisite kowledge: partial fractios from MAT 7, a very good commad of factorig ad complex umbers from Precalculus. To complete this project,

More information

Convergence of random variables. (telegram style notes) P.J.C. Spreij

Convergence of random variables. (telegram style notes) P.J.C. Spreij Covergece of radom variables (telegram style otes).j.c. Spreij this versio: September 6, 2005 Itroductio As we kow, radom variables are by defiitio measurable fuctios o some uderlyig measurable space

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information

New Version of the Rayleigh Schrödinger Perturbation Theory: Examples

New Version of the Rayleigh Schrödinger Perturbation Theory: Examples New Versio of the Rayleigh Schrödiger Perturbatio Theory: Examples MILOŠ KALHOUS, 1 L. SKÁLA, 1 J. ZAMASTIL, 1 J. ČÍŽEK 2 1 Charles Uiversity, Faculty of Mathematics Physics, Ke Karlovu 3, 12116 Prague

More information

4.3 Growth Rates of Solutions to Recurrences

4.3 Growth Rates of Solutions to Recurrences 4.3. GROWTH RATES OF SOLUTIONS TO RECURRENCES 81 4.3 Growth Rates of Solutios to Recurreces 4.3.1 Divide ad Coquer Algorithms Oe of the most basic ad powerful algorithmic techiques is divide ad coquer.

More information

Optimally Sparse SVMs

Optimally Sparse SVMs A. Proof of Lemma 3. We here prove a lower boud o the umber of support vectors to achieve geeralizatio bouds of the form which we cosider. Importatly, this result holds ot oly for liear classifiers, but

More information

Math 113 Exam 4 Practice

Math 113 Exam 4 Practice Math Exam 4 Practice Exam 4 will cover.-.. This sheet has three sectios. The first sectio will remid you about techiques ad formulas that you should kow. The secod gives a umber of practice questios for

More information

Lecture #5: Begin Quantum Mechanics: Free Particle and Particle in a 1D Box

Lecture #5: Begin Quantum Mechanics: Free Particle and Particle in a 1D Box 561 Fall 013 Lecture #5 page 1 Last time: Lecture #5: Begi Quatum Mechaics: Free Particle ad Particle i a 1D Box u 1 u 1-D Wave equatio = x v t * u(x,t): displacemets as fuctio of x,t * d -order: solutio

More information

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle Similarity betwee quatum mechaics ad thermodyamics: Etropy, temperature, ad Carot cycle Sumiyoshi Abe 1,,3 ad Shiji Okuyama 1 1 Departmet of Physical Egieerig, Mie Uiversity, Mie 514-8507, Japa Istitut

More information

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said

More information

) +m 0 c2 β K Ψ k (4)

) +m 0 c2 β K Ψ k (4) i ħ Ψ t = c ħ i α ( The Nature of the Dirac Equatio by evi Gibso May 18, 211 Itroductio The Dirac Equatio 1 is a staple of relativistic quatum theory ad is widely applied to objects such as electros ad

More information

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples:

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples: 5.6 4 Lecture #3-4 page HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT Do t restrict the wavefuctio to a sigle term! Could be a liear combiatio of several wavefuctios e.g. two terms:

More information

Session 5. (1) Principal component analysis and Karhunen-Loève transformation

Session 5. (1) Principal component analysis and Karhunen-Loève transformation 200 Autum semester Patter Iformatio Processig Topic 2 Image compressio by orthogoal trasformatio Sessio 5 () Pricipal compoet aalysis ad Karhue-Loève trasformatio Topic 2 of this course explais the image

More information