MRS. Jesse Sakari Hyttinen

Size: px
Start display at page:

Download "MRS. Jesse Sakari Hyttinen"

Transcription

1 MRS Jesse Sakari Hyttinen

2 MRS HIERARCHY AND BASIC STRUCTURE MRS als knwn as mnrutesystemsis means a grup which includes all mnrutesystemsis als knwn as Mrsystemsis (MrS) As there can be infinitely many Mr-systemsis, is the size f MrS-grup (MRS) infinite Yet a bigger entity is a MRS-grup whse MrS-grups are all different cmpared t each ther based upn MRS-appinted restrictins als knwn as cnditins As there can be infinitely many restrictins and cmbinatins f restrictins is als the size f MRS-grup infinite MrS aka Mnrutesystemsi cnsists f mnrutesystems aka Mr-systems (Mrs) The quantity f Mr-systems is variable, and thus the size f MrS aka Mrs-grup is between zer and infinite Mrs aka mnrutesystem cnsists f pints and pint cnnecting trails Mr-systems f an arbitrary Mr-systemsi are all different cmpared t each ther, but cnsist f always the same amunt a certain pint type r a cmbinatin f pint types based upn mutual cnditins A pint is ne f Mr-system s cmpnents A pint can be divided int three pint types, what is useful especially in PT-arithmetics and when the starting pint in a structure des matter The three types f a pint are a prime pint, a nrm pint and a side pint Prime pint aka p-pint (p p ) is the starting pint f examining a structure and besides nrm and side pint ne f PTarithmetics s crnerstnes Every ther pints are seen t riginate frm prime pint and that s why p p is always marked visible p p can be cnnected t many different pints (nrm and side pints) at the same time Whether the prime pint aka the bservatin pint f Mr-system s structure is remarkable, affects cnsiderably the quantity f Mrsystems and thus the whle Mr-systemsi That s why it is always marked apart, whether the MrS is p p [+] (p p is remarkable aka the bservatin pint des matter) r p p [ ] (p p is nt remarkable aka the bservatin pint des nt matter) Nrm pint aka the n-pint (n p ) creates with side pints and ther nrm pints arbitrary structures sectrs n p can be cnnected t all the three classes f a pint and like the prime pint t many at the same time Side pint aka s-pint (s p ) ends the structures begun by prime pint, and the n-pints between the prime pint and side pints can be thught as gap pints aka the middle sectin f the structures s p is the nly class f pint which can be cnnected t nly ne pint, either p- r n-pint A trail is the secnd cmpnent f an Mr-system (there are tw cmpnents) and creates the cnnectin between tw pints When the quantities f the tw cmpnents pints and trails are cmpared t each ther, is there always ne trail less A sectr cnsists f an arbitrary cmbinatin f the trails and pints (n- and s-pints) and leaves f a pint which is cnnected t at least tw ther trails in additin t the trail between the sectr and the pint A sectr (symbl m ) can be divided in t tw classes: prime sectrs (symbl m p ) leaving f the prime pint and nrm sectrs (symbl m n ) leaving f the nrm pint, if and nly if neither f the nrm sectrs cnsist f the prime pint A sectr has always a beginning (p- r n-pint) and an end (s-pint r s-pints)

3 A rute cnsists f ne r mre trails The system cnstructed by pints and trails is Mrs if and nly if there is nly ne rute between each pint pair (There are ( m ) = m!!(m )! pint pairs, when the ttal quantity f pints m If m <, there are n pint pairs) Frm this ne can cnstruct the basis f PT-arithmetics and the mst imprtant rule in the MRS-thery: The MRS-therem aka L MRS L MRS : Frm ne arbitrary pint t anther arbitrary pint can ne g thrugh nly ne rute The system cnsisting f pints and trails is Mrs if and nly if the system qualifies the L MRS PRS PRS-thery aka plyrutesystemsis-thery is t be expected a much mre cmplicated thery than the MRS-thery, as there can be an arbitrary number f trails between pints (hwever there has t be at least ne trail) It s difficult t prduce a wrking PT-arithmetic analysis methd, s in this wrk nly the MRS-thery is being cncentrated n EXAMPLES E Let frm the MRS-grup a particular MRS be chsen, in which the p-pint and every n-pint has t be cnnected t at least three ther pints Let frm the MrS-grup a particular MrS be chsen, in which there are seven pints Let it be decided that the MrS is p p [ ], and an MrS which includes tw Mr-systems is gtten When the MrS is p p [ ], the p-pint is highlighted as a white pint amng ther pints, which are all black pints Trails are black lines E The same MrS as in example E, nly that MrS is nw p p [+] Let the terminlgy f the MRS-thery be demnstrated

4 The MrS nw cnsists f three Mr-systems The marking habit f the upper Mr-systems is used when the pints are numbered; The marking habit f the lwer Mr-systems (same systems as upper nes) is used, when the pints are nt numbered The numbering is based n a mre specific analysis, which is later returned t Lines are trails, arrws r arrw cmbinatins are rutes The parts circled with dashed line are prime sectrs and the parts circled with cntinuus line are nrm sectrs PRESENTATION FORMS Mrs and due t it the bigger structures (MrS, MRS, MRS-grup) can be presented in three different ways The presentatin frms are tag, sum and map frm Tag frm aka [TF] means a symblic presentatin The general tag frm fr Mr-system is m a Σ φ (a is the rdinal number f tag frms crrespnding sum frm, Σ φ is a cnditin matrix, φ is the pint number assigned by the cnditin matrix, is the number f cnditin matrice s cnditins and the tag m a Σ φ is read m a, when the cnditin matrice s frm is Σ φ ), fr Mr-systemsi M φ Σ φ, fr MrS-grup (M φ Σ φ ) φ=0,,, = M 0 Σ 0, M Σ, M Σ, (grup presentatin) and fr MRS-grup {(M φ Σ φ ) φ=0,,, φ ) φ=0,,, φ ) φ=0,,, φ ) φ=0,,, x } =x0, x, x, = (M φ Σ x0, (M φ Σ x, (M φ Σ x, (the grup presentatin f grups) It s bserved that in particular tag frms m a and M φ can be alternatively used fr Mr-system and -systemsis, if the cnditin matrix has been presented and clearly cnnected t Mr-system and -systemsis Let als the fllwing facts be bserved: Σ φ desn t mean a sum In tag Σ φ the φ isn t an expnent but a tag clearing identifier and as a pint number is a part f the cnditin matrix There isn t a system that identifies precisely cnditin matrices, as the system is hard t be executed and benefits a little r nne at all PT-arithmetic analyses In general presentatins exceptinally Σ φ xm means cnditin matrice s type x m and (Σ φ x ) =x0, x, x, means all the pssible cnditin matrice s types Althugh the pint numbers and quantities f cnditins fr a tw r mre cnditin matrices are the same, the cnditins fr the cnditin matrices and thus the cnditin matrices itself can be arbitrarily different a Sum frm aka [SF] means PT-arithmetic presentatin The general sum frm fr Mr-system is (φ) φ Σ φ (a is the rdinal number f sum frm, φ is the pint number assigned by the cnditin matrix, φ is the pint ntatin assigned

5 by the cnditin matrix, Σ φ is the cnditin matrix, is the number f cnditin matrice s cnditins and a (φ) φ Σ φ a is read (φ) φ Σ ({φ} φ Σ φ Σ ) φ=0,,, = {0} φ Σ 0 Σ, {} φ Σ Σ, {} φ Σ {({φ} φ Σ φ x ) φ=0,,, } =x0, x, x, = ( Σ {φ} φ, when the cnditin matrice s frm is Σ φ Σ ), fr Mr-systemsi {φ} φ Σ, (grup presentatin) and fr MRS-grup Σ φ x0 ) φ=0,,, Σ, ({φ} φ Σ φ x ) φ=0,,, a grup presentatin f grups) Let it be bserved that in particular tag frms (φ) φ Σ, ({φ} φ Σ and {φ} φ Σ φ, fr MrS-grup Σ φ x ) φ=0,,,, (the can be alternatively used fr Mr-system and -systemsis, if the cnditin matrix has been presented and clearly cnnected t Mr-system and -systemsis Map frm aka [MF] means graphic presentatin As map frm is an arbitrary figure drawn n an underlay (paper, blackbard, drawing applicatin s drawing state fr a cmputer and et cetera), there s n general presentatins fr map frm Often map and tag frms are inferred directly frm the pened sum frms Opening sum frms is the subject f discuss in the part f PT-arithmetics Let it yet be mentined that ne can use abbreviatins fr tag, sum and map frms: T-frm fr tag frm, S-frm fr sum frm and M-frm fr map frm EXAMPLES E Let frm an MRS-grup an MRS be chsen which has n restrictins Let frm an MrS-grup an MrS be chsen which has fur pints (φ = 4, φ = snp) Let it be decided that MrS is p p [ ], and an MrS which includes tw Mr-systems is gtten Let presentatin frms be demnstrated, when the cnditin matrice s frm is Σ 4 MrS: Tag frm: M 4 Σ 4 Sum frm: Σ {4} snp Map frm: Picture ) Mrs: [TF]: m [SF]: (4) snp Mrs: [TF]: m [SF]: (4) snp [MF]: Picture ) [MF]: Picture ) E

6 The same MrS as in example E with the exceptin f Mrs being nw p p [+] Let presentatin frms be demnstrated MrS: [TF]: M 4 Σ 4 [SF]: Σ {4} snp [MF]: Picture 4) Mrs: [TF]: m [SF]: (4) snp Mrs: [TF]: m [SF]: (4) snp Mrs: [TF]: m [SF]: (4) snp 4 4 Mrs: [TF]: m 4 [SF]: (4) snp [MF]: Picture 5) [MF]: Picture 6) [MF]: Picture 7) [MF]: Picture 8) NUMBERS AND PARAMETERS Numbers and parameters, which define certain prperties and affect the Mr-system and the larger structures (MrS, MRS, MRS-grup), are an essential part f the MRS-thery and are thus a part f the PT-arithmetics In the MRSthery (and thus in the PT-arithmetics) all numbers and values belng t the grup = (n) n=0,,, = 0,,,, excluding the identity numbers l x and l which are presented in the furth chapter Map frm s structures Pint number φ is an MrS-parameter and describes the quantity f an arbitrary pint s class r the cmbinatin f classes The quantity must always be fulfilled An essential part f the pint number is the pint ntatin φ, which defines pint s class r the cmbinatin f pint s classes which bth have t be cunted The pint ntatin als wrks separately as an Mrs-parameter All the pssible values f the pint ntatin are the fllwing: s, n, p, sn, sp, np and snp (value s matches pint s class s p, value n matches pint s class n p and value p matches pint s class p p ) The mst practical values f the pint ntatin are sp, np and snp and when the value f the pint ntatin isn t snp, pints ttal quantity s frntier s presentatin φ snp [a, b] can be defined t guarantee that the MrS-number M(φ) is limited The a is the frntier s minimum and the b is the frntier s maximum (the frntier s presentatin can have ther defining areas as well, fr example φ snp < 8 r φ snp = 0) The MrS-number M(φ) is the functin f the pint number φ M(φ) describes the quantity f Mr-systems fr a certain pint number φ Mrs-number aka pint quantity m a (φ ) is the functin f the pint ntatin φ and describes the quantity f Mrsystem s m a certain pint s class r the cmbinatin f pint s classes Althugh the pint number φ has a certain pint ntatin s φ value, m a (φ ) can still get values fr all the values f pint ntatin φ Let it be bserved, that m a (s) + m a (n) + m a (p) = m a (s) + m a (np) = m a (n) + m a (sp) = m a (p) + m a (sn) = m a (snp) Als the fllwing things are valid: m a : m a (p) =, m a : m a (n) = 0 and m a : m a (s) > 0

7 The general trail number τ x is amng the pint number φ and the pint ntatin φ ne f the mst imprtant numbers in PT-arithmetics The value r grup f values f the general trail number defines directly the allwed quantities f trails cnnected t the pint x Presentatin habits f the value r grup f values f the general trail number, when A is a part f a sentence, which is read The quantity f the trails cnnected t the pint x has t be : τ x > a: A bigger than a τ x a: A bigger than r as big as a τ x < a: A smaller than a τ x a: A smaller than r as small as a τ x ]a, b[, a < b: A smething between numbers a and b τ x ]a, c[ \{b}, a < b < c: A smething between numbers a and c, excluding the value b τ x ]a, d[ \{b, c}, a < b < c < d: A smething between numbers a and d, excluding the values b and c τ x [a, b], a < b: A a r b r smething between numbers a and b τ x [a, c] \{b}, a < b < c: A a r c r smething between numbers a and c, excluding the value b τ x [a, d] \{b, c}, a < b < c < d: A a r d r smething between numbers a and d, excluding the values b and c τ x = a: A is equal t a τ x a: A isn t equal t a τ x = a, b, c, a < b < c: A is equal t a, b r c τ x a, b, c, a < b < c: A isn t equal t a, b and c Let it be bserved that the general trail number s lgical maximum value desn t crss the ttal quantity f trails and the alternative values f the general trail number usually rise and nt s ften keep the MrS-number s value at bay In ther wrds M(φ) τ x = a, b, c; Σ φ M(φ) τ x = a, b; Σ φ, when the cnditin matrices are ttally identical t each ther The presentatin frms f the general trail number τ x are τ p, τ n and τ s τ p (x = p) is the trail number f the p-pint The thery f general trail number τ x applies directly t the trail number f the p-pint τ n (x = n) is the trail number f the n-pint The thery f general trail number τ x applies directly t the trail number f the p-pint, nly if τ n > τ s (x = s) is the trail number f the s-pint The thery f general trail number τ x desn t apply t the trail number f the p-pint, as the value f the trail number f the s-pint is always ne The trail numbers τ p, τ n and τ s are always presented tgether in the cnditin matrix In additin t the trail numbers the cnditin matrix includes the infrmatin whether the bservatin pint is remarkable, the pint number and ntatin and pssibly the presentatin φ snp [a, b], a < b and mre specific restrictins The cnditin matrice s Σ φ frm is Σ φ = 0,,,, 4, 5, 6,, in which the cnditins 0,,,, 4, 5 and 6 are determined and the cnditins 7, 8, 9, are free t be determined The determined cnditins are the fllwing, when the whle cnditin itself cmes after the mark : 0 p p [+] r 0 p p [ ] φ = q (q is sme value) φ = q (q is sme value f the fllwing values: s, n, p, sn, sp, np, snp)

8 τ p X (X is sme arbitrary grup f numbers, whse size is at least ne) 4 τ n X (X is sme arbitrary grup f numbers, whse size is at least ne) 5 τ s = 6 φ snp [a, b], a < b The cnditin matrice s frm is thus Σ φ = ( j ) j=0,,, = 0,,,, 4, 5, 6, = p p [+/ ], φ = q, φ = q, τ p X, τ n X, τ s =, φ snp [a, b], The cnditin matrix defines with its cnditins aka restrictins the whle bservable Mr-systemsi, s Σ φ is created due t its significance befre PT-arithmetic analyses The cnditin matrix is, simply put, a grup f determined cnditins (the size f the grup is ) in a matrix frm The parenthesis f the matrix frm vanish, if Σ φ is put inside the parenthesis The fllwing numbers and presentatins are nly practical when the bserved MrS is p p [+] and has been applied with the MPN MPN MPN aka the mnrutesystem s pints numbering is a methd, which is applied when the bserved MrS is p p [+] With the numbering the arbitrary Mr-system s map frm can be bserved in detail Let MPN be presented as a catalgue: The bserved map frm f the Mr-system is drawn in a way that sectrs with different pint quantities (snp) are in rder frm the smallest t the biggest (the bigger the pint quantity, the bigger the sectr), sectrs with same pint quantities (snp) and different M-frms are in accrdance t sum frm s rder number in rder frm the smallest t the biggest and ttally identical sectrs (the same pint quantity (snp) and M-frm) are in arbitrary rder The rder s directin is clckwise (rtatin s directin ), when the rder is frm the smallest t the biggest Apprximatin: Sectrs with same pint quantities and different M-frms are in length rder frm the shrtest t the lngest, when the length f the sectr is determined by its lngest rute r rutes (the lnger the rute r rutes the lnger the sectr) The numbering is started The prime pint is always the pint number ne The pints are numbered after the prime pint in the same rder as the M-frm itself is drawn (in accrdance t catalgued instructins) Lcal trail numbers and rute presentatins can be defined fr MPN-adapted Mr-system The lcal trail number t ma (b) is the functin f a pint number b t ma (b) expresses the quantity f trails cnnected t the Mr-system s m a pint number b The rute presentatin r ma (b, c) is the functin f pint numbers b and c r ma (b, c) expresses the rute frm pint b t c in the Mr-system m a Let it be bserved, that b c (b > c r b < c) aka the case b = c isn t determined (r ma (b, c) = [Ø] isn t a rute presentatin, as b = c)

9 Uniqueness: Let there be an Mrs m a in which there are numbered pints c, d and e If bth pint c and pint e are cnnected with a trail directly t the pint d, then uniquely r ma (c, e) = [c d e], r ma (e, c) = [e d c], r ma (c, d) = [c d], r ma (d, c) = [d c], r ma (d, e) = [d e] and r ma (e, d) = [e d] Quantity: Let there be an Mrs m a fr which m a (snp) = q Thus there are ( q ) = q! arbitrary pint pairs which!(q )! are different t themselves In additin there are ( q ) = q! = q! = q! = q! (tw rute!(q )!!(q )! (q )! (q )! presentatins per ne pint pair) arbitrary rute presentatins which t are different t themselves The quantity f rute presentatins is even, as in Mr-system m a and in vectr-based thinking (pints are deleted, every trail in the rute is a vectr with the same directin as the rute) there are tw vectrs with equal sizes and ppsite directins aka rute presentatins r ma (a, b) and r ma (b, a) fr every arbitrary pint pair a and b (pints numbers) S are there tw rute presentatins per ne pint pair As any given number ( q ) N = (n) n=,,, =,,, (als q N\{}) multiplied by tw is an even number thus is the quantity f rute presentatins, ( q ) when q = m a (snp) > is an arbitrary pint number always even The demnstratin f vectr-based thinking: ab = ba, r ma (a, b) ab (in a vectr-based thinking) and r ma (b, a) = ba (in a vectr-based thinking) EXAMPLES E Let there be the fllwing MrS: M 9 Σ 9 7, when Σ = ( j ) j=0,,, = 0,,,, 4, 5, 6 = p p [ ], φ = 9, φ = snp, τ p >, τ n >, τ s =, φ snp = 9 The fllwing [MF] f the Mr-systemsi is gtten: m (s) = 8, m (n) = 0, m (p) =, m (s) = 7, m (n) =, m (p) =, m (s) = 6, m (n) =, m (p) =, m 4 (s) = 7, m 4 (n) =, m 4 (p) =, m 5 (s) = 6, m 5 (n) =, m 5 (p) = M(9) = 5

10 E Let there be the fllwing MrS: M 9 Σ 9 7, when Σ = ( j ) j=0,,, = 0,,,, 4, 5, 6 = p p [+], φ = 9, φ = snp, τ p >, τ n >, τ s =, φ snp = 9 The fllwing [MF] f the Mr-systemsi is gtten: E Let there be an Mrs m a, which is p p [+], fr which m a (snp) = 6 and whse [MF] is the fllwing: Let Mrs m a be applied with the methd MPN and let t ma (i), i =, 9, 4, 0, and r ma (p, q), (p, q) = (,), (,), (8,6) be determined Frm [MF] is gtten the fllwing: t ma () = 7, t ma (9) = 4, t ma (4) =, t ma (0) =, t ma () = r ma (,) = [ 4 8 ], r ma (,) = [ 9 ], r ma (8,6) = [ ]

11 E4 Let there be the fllwing MrS: M Σ 7, when Σ 7 = p p [+], φ =, φ = np, τ p =, τ n =, τ s =, φ snp < 0 Let all rute presentatins be determined As φφ = np, is m a (np) = and thus there has t be a p-pint and an n-pint cnnected t the p-pint with a trail As τ p =, τ n = and (naturally) τ s =, are there tw s-pints cnnected t the p-pint, in additin t ne n-pint There are n the ther hand the p-pint s n-pint and als an s-pint cnnected t the n-pint (let it be bserved that the infrmatin φ snp < 0 des nt help at all) Thus is the [MF] f the Mr-system the fllwing: There are ( m a(snp) ) pint pairs in an arbitrary Mr-system m a, s in the Mr-system m there are ( m (snp) ) = ( 5 ) = 5! = 5! = 5 4 = 5 4 = 0 = 0 pint pairs and thus there are 0 = 0 rute presentatins!(5 )!!! Rute presentatins: r m (,) = [ ], r m (,) = [ ], r m (,) = [ ], r m (,) = [ ], r m (,4) = [ 4], r m (4,) = [4 ], r m (,5) = [ 4 5], r m (5,) = [5 4 ], r m (,) = [ ], r m (,) = [ ] r m (,4) = [ 4], r m (4,) = [4 ], r m (,5) = [ 4 5], r m (5,) = [5 4 ], r m (,4) = [ 4], r m (4,) = [4 ], r m (,5) = [ 4 5], r m (5,) = [5 4 ], r m (4,5) = [4 5], r m (5,4) = [5 4] E5 Let there be an arbitrary Mrs m a, fr which the fllwing things are applied: φ = 6, φ = sp and the quantity f rute presentatins is 600 Let an arbitrary prime sectr m px be bserved m px includes m a(n) n-pints and m a(s) s-pints Let prime sectr s parameterized rute presentatins r ma (x y, x z ) be determined, when x z > x y and x y and x z are the numbers f tw n-pints

12 600 = ( m a(snp) m a (snp)! )! (m a (snp) )! = 600 m a(snp)!! (m a (snp) )! = 600 m a(snp)! (m a (snp) )! = 600 m a(snp)! (m a (snp) )! = 600 5! (5 )! = 5! 5 4! = = 5 4 = 5 (0 + 4) = = = 600!!,s m a (snp) = 5 m a (n) + m a (sp) = m a (n) + φ = m a (snp) m a (n) = m a (snp) φ = 5 6 = 9 m a (p) + m a (s) = m a (sp) m a (s) = m a (sp) m a (p) = φ m a (p) = 6 = 5 S are there m a(n) = 9 = n-pints and m a(s) = 5 = 5 s-pints in the prime sectr m p x The fllwing basic hulls frmed by n-pints fr the prime sectr m px are gtten The s-pints can be set in the hull ne in fur and in the hull tw in six different ways (pints a, b and c; a < b < c), when numbers are the quantities f the s-pints Tw basic hulls, fur cmbinatins fr the first and six cmbinatins fr the secnd hull and ( ) =! =!( )!! = = rutes fr ne cmbinatin (the cnditin x!! z > x y halves the quantity f rutes, as nrmally x z x y x z > x y r x z < x y ) = 8 + = 0 parameterized rute presentatins (x n x + n) Let there be a cmbinatin α which is Kα and a hull β which is Rβ Let all the hull s cmbinatins and rute presentatins be presented, when the first pint f the prime sectr is x (Mrs is arbitrary)

13 Rute presentatins: HC: r ma (x 0, x 4 ) = [x 0 x 4 ], r ma (x 0, x 6 ) = [x 0 x 6 ], r ma (x 4, x 6 ) = [x 4 x 0 x 6 ] HC: r ma (x 0, x 4 ) = [x 0 x 4 ], r ma (x 0, x 6 ) = [x 0 x 4 x 6 ], r ma (x 4, x 6 ) = [x 4 x 6 ] Rute presentatins: HC:

14 r ma (x 0, x ) = [x 0 x ], r ma (x 0, x 4 ) = [x 0 x 4 ], r ma (x, x 4 ) = [x x 0 x 4 ] HC: r ma (x 0, x 6 ) = [x 0 x x 6 ], r ma (x 0, x ) = [x 0 x ], r ma (x, x 6 ) = [x x 6 ] Rute presentatins: HC: HC: r ma (x 0, x ) = [x 0 x ], r ma (x 0, x 4 ) = [x 0 x x 4 ], r ma (x, x 4 ) = [x x 4 ] Rute presentatins: HC4:

15 r ma (x 0, x ) = [x 0 x ], r ma (x 0, x 5 ) = [x 0 x 5 ], r ma (x, x 5 ) = [x x 0 x 5 ] HC4: r ma (x 0, x ) = [x 0 x ], r ma (x 0, x 6 ) = [x 0 x x 6 ], r ma (x, x 6 ) = [x x 6 ] Rute presentatins: HC5: HC5: r ma (x 0, x ) = [x 0 x ], r ma (x 0, x 5 ) = [x 0 x x 5 ], r ma (x, x 5 ) = [x x 5 ] Rute presentatins: HC6:

16 r ma (x 0, x ) = [x 0 x ], r ma (x 0, x 5 ) = [x 0 x 5 ], r ma (x, x 5 ) = [x x 0 x 5 ] HC6: r ma (x 0, x ) = [x 0 x ], r ma (x 0, x 5 ) = [x 0 x x 5 ], r ma (x, x 5 ) = [x x 5 ] 4 MAP FORM S STRUCTURE There are different numbers and methds t examine and administer the Mr-system and the bigger entities t it The numbers are the lngitudinalness number l, the furcateness number l x and the degree number f freedm v q (q = +, if the MrS is p p [+] and q =, if the MrS is p p [ ]) The methds are the PFS and the already presented MPN The lngitudinalness number l and the furcateness number l x are applied with the fllwing: l + l x = l and l x can be defined, when the Mrs is either p p [ ] r p p [+] The lngitudinalness number l depicts the lngitudinalness nature f the Mr-system: l = l x Fr the lngitudinalness number l the fllwing is applied: l [0,], aka the lngitudinalness number is either 0 r r sme fractin between the numbers 0 and The fractin quality cmes frm the calculatin habit f the lngitudinalness number: Let a pint b in the Mr-system m a be chsen, fr which t ma (b) (if the pint isn t fund, then directly l = ) The leaving sectrs lngitudinal parts (tw trails r mre in the line) ttal quantities f trails are each subtracted ne trail and the sum f brn quantities is divided by the ttal trail quantity f the Mr-system t get the lngitudinalness number s value If l = (l x = 0), is the Mrs nt furcate at all and is thus bserved as a clean rute The sectr, fr which l =, is marked by a symbl m (m is the ttal quantity f sectr s pints, when φ = snp) aka the symbl f the clean rute is m A deeper view is granted in the PT-arithmetics The furcateness number l x depicts the furcateness nature f the Mr-system: l x = l Fr the furcateness number l x the fllwing is applied: l x [0,], aka the furcateness number is either 0 r r sme fractin between numbers 0 and The fractin quality cmes frm the calculatin habit f the furcateness number: Let a pint b in the Mr-system m a be chsen, fr which t ma (b) (if the pint isn t fund, then directly l x = 0) The quantity f the leaving sectrs is divided by the ttal trail quantity f the Mr-system t get the furcateness number s value If l x = (l = 0), is the Mrs nt lngitudinal at all and is thus bserved as an intersectin The sectr, fr which l x =, is marked by a symbl m x (m is the ttal quantity f sectr s pints, when φ = snp) aka the symbl f the intersectin is m x A deeper view is granted in the PT-arithmetics The degree number f freedm v q is determined separately fr cases The Mr-system is p p [ ] (q = ) and The Mrsystem is p p [+] (q = +) The degree number f freedm v q depicts the freedm degree f the Mr-systemsi aka hw many different mdes aka Mr-systems can the Mr-systemsi have v q can get the value,,, 4 r 5, depending n the cnditin matrix Σ φ The dmain φ snp r the parameters φ and φ aren t taken int accunt when the degree number f freedm is being determined v q = 5: The MrS is free The example frms f the cnditin matrix Σ φ : Σ φ = p p [+], τ n >, τ s = fr the case q = + Σ 4 φ = p p [ ], τ p >, τ n >, τ s = fr the case q =

17 v q = 4: The MrS is quite free The example frms f the cnditin matrix Σ φ : Σ 4 φ = p p [+], τ p >, τ n >, τ s = fr the case q = + Σ 4 φ = p p [ ], τ p > (r τ p > ), τ n >, τ s = fr the case q = v q = : The MrS is restricted The example frms f the cnditin matrix Σ φ : Σ 4 φ = p p [+], τ p [,4], τ n [,4], τ s = fr the case q = + Σ 4 φ = p p [ ], τ p [,4], τ n [,4], τ s = fr the case q = v q = : The MrS is quite determined The example frms f the cnditin matrix Σ φ : Σ 4 φ = p p [+], τ p =, τ n =, τ s = fr the case q = + Σ 4 φ = p p [ ], τ p =, τ n =, τ s = fr the case q = v q = : The MrS is determined The example frms f the cnditin matrix Σ φ : Σ φ x x 4 = p p [+], τ p =, m p =, m m p = m fr the case q = + Σ φ x 7 = p p [ ], τ p =, τ n =, m p =, m m p = m, m n =, m m 4n = m 4 fr the case q = Σ φ 4 = p p [ ], τ p =, τ n =, m p = m fr the case q = CONVERGENT STRUCTURES Because f cnvergent structures is the bservatin f the Mr-systemsi mre difficult in case 0 = p p [ ] (MrS is p p [ ]) than in case 0 = p p [+] (MrS is p p [+])Cnvergent structures are nly namely taken int accunt when the MrS is p p [ ] and frm this it can be cncluded that M(φ) 0 = p p [+], Σ φ \{ 0 } M(φ) 0 = p p [ ], Σ φ \{ 0 }, when the cnditin matrices are ttally identical t each ther (after the deductins) The structures are cnvergent t each ther if and nly if their M-frms are exactly the same (in cnvergence bservatin all pints belng t the same class) The arbitrary psitinings f the trails and the pints d nt affect the cnvergences Let the cnvergent structures be demnstrated: Let it be that φφ = 4snp and the Mr-system m a has the fllwing [MF]:

18 Withut restrictins there wuld be at least ten cnvergent structures fr the Mr-system s m a map frm, s let it be put that τ p > (the s-pints as p-pints are abandned) and the fllwing result is gtten: a snp is the [SF] fr the Mr-system m a and snp is the [SF] fr the Mr-system (4) a n (4) m nx a nx m a is the Mr-system s m a n cnvergent frm aka M-frmally equivalent presentatin Mark = x depicts the sum frms map-frmal equivalence aka the mark = x is the equivalence mark f map frms Accrdingly the mark x means that the map frms f sum frms are nt cnvergent Let the equivalence marks be demnstrated: Let it be that Σ 6 8 = p p [ ], φ = 8, φ = snp, τ p >, τ n >, τ s = The fllwing M 8 Σ 6 8 (Mr-systems frms) is gtten: The Mrs m 5 in parenthesis isn t actually a part f the Mr-systemsi M 8, but is nly nted in this example fr demnstratin purpses Clearly (8) snp (8) snp x (8) snp x (8) snp x 4 (8) snp x (8) snp (8) snp x 4 (8) snp (8) snp x 4 (8) snp If m 5 is taken int accunt, then (8) snp = x 5 (8) snp There is a frmatin law fr the Mr-system s m a cnvergent frms m nx a The precise frmatin law: The cnvergent frms are traversed in the PT-arithmetic rder

19 The apprximated frmatin law: After the Mr-system s m a p-pint the pint is searched fr, whse biggest sectr is the smallest ne amng the rest f pints biggest sectrs (The size f the sectr is defined by the ttal quantity f its pints; the bigger the sectr the mre the pints) If there are tw r mre pints which have an identical biggest sectr in a way that sum frms aren t equivalent (map frms aren t the same when examined thrugh the p-pints perspective), the equivalent frms are traversed frm the shrtest t the lngest (the main fcus f the length is the fact that hw early the lngitudinal structure is impersnated) If the sum frms are equivalent, nly ne representing structure f sum frm in questin is accepted If there are tw r mre pints with equal pint quantities and biggest sectrs, the cnvergent frms are traversed frm the shrtest t the lngest SYMMETRY Symmetry in the MRS-thery can be divided in t tw classes: perfect symmetry and trail symmetry Perfect symmetry: A line and infinitely many ther lines are dragged thrugh an arbitrary and PFS-applied Mr-system s M-frm s p-pint s center The first line n 0 frms with infinitely many ther lines n, n, n, singly by pairs a genuinely cntinuus and grwing angle functin α(m) = (n 0, n m ); m = 0,,, ; α [0, 80 ] If the brn halves are in each line s case the identical mirrr images f each ther, is the Mrs perfectly symmetric In ther cases Mrs is nt perfectly symmetric The perfect symmetry is very impractical due t its mathematically demanding cnditin There are thus sme special exceptins, fr which the perfect symmetry is applied: A prime pint (Mrs f ne single pint, n trails) and a PFSapplied Mrs, in which there are infinitely many s-pints cnnected t the p-pint In a certain manner nly the latter specialty is accepted, as the pint nly as the secnd f Mr-system s cmpnents isn t classified as an Mr-system (the vacuum isn t either classified as an Mr-system) The trail symmetry in its cnditins is much mre mdest than the perfect symmetry and is thus practical in the bservatin f the Mr-system s ( 0 = p p [+]) M-frm The Mr-system has t be p p [+] t avid incherence: When 0 = p p [ ], can the Mr-system s prime pint be anywhere in which case the Mr-system in example can be trail symmetric frm ne pint s view and in example cannt be trail symmetric frm the ther pint s view In the trail symmetry and in a PFS-applied Mr-system a line is dragged as a trail s parallel and bilateral extensin In this case the trail cnnects the p-pint and a chsen prime sectr If the brn halves are identical t each ther, is the Mr-system trail symmetric in relatin t the chsen sectr In an arbitrary sectr s case the trail symmetry divides in t fur classes: p p t-, p p t SS -, p p t LS - and p p t np -symmetry p p ts aka prime pint trail symmetry is in its cnditins the mst demanding The Mrs is p p t-symmetric, if the Mrs is trail symmetric in every prime sectr s case p p t-symmetric structures are called as snwflakes, when in the structures τ p [5,6] p p t SS s aka prime pint trail symmetry regarding the smallest prime sectr is nt in its cnditins as demanding as the p p t-symmetry The Mrs is p p t SS -symmetric, if the Mrs is trail symmetric regarding every smallest prime sectr (there can be many smallest prime sectrs) p p t LS s aka prime pint trail symmetry regarding the largest prime sectr is in its cnditins as demanding as the p p t SS -symmetry The Mrs is p p t LS -symmetric, if the Mrs is trail symmetric regarding every largest prime sectr (there can be many largest prime sectrs)

20 p p t np s aka prime pint trail symmetry regarding an arbitrary prime sectr n p is in its cnditins variably demanding p p t np -symmetry fills every size class f the sectrs, and is thus mre practical cmpared t the fact that there wuld be prime pint trail symmetry regarding the third largest r the seventh smallest prime sectr The Mrs is p p t np - symmetric, if the Mrs is trail symmetric regarding the arbitrary prime sectr n p (there can be many f the same arbitrary sectr) Let it be bserved, that in particular in the Mr-system, in which there are nly identical prime sectrs cmpared t each ther, are p p ts, p p t SS s, p p t LS s and p p t np s in their cnditins cnvergent In additin if sme Mrs is p p tsymmetric, is it abslutely p p t SS -, p p t LS - ja p p t np -symmetric The PFS aka the principle f finding symmetry tries t adapt the psitining f the arbitrary Mr-system s M-frm in a way that the M-frm fulfils a cnditin (in pririty rder is the p p ts first) f a class f the trail symmetry If the PFS fails is the bserved Mrs nt trail symmetric PFS: Phase : Let there be m prime sectrs cnnected t the p-pint The trails cnnecting the prime sectrs t the p-pint are set cmpared t each ther in a way that the angle between tw arbitrary and cntiguus trails is 60 m Phase : A line is dragged thrugh the prime sectr s starting pint The line is perpendicular t a trail s imaginary extensin The trail cnnects the prime sectr s starting pint and the p-pint Pssible nrm sectrs and trails cnnecting the nrm sectrs and the prime sectr s starting pint are in the line s side where the p-pint is nt Let it be imagined that the line s tw halves (the starting pint is between the halves) are tw trails and let the restricted half by the line be bserved where the p-pint is nt If the lcal trail number f the prime sectr s starting pint is n, let the angle between tw cntiguus trails be set t 80 (the trail between the starting pint and the p-pint is (n ) cunted in) The phase is repeated (in need by thinking the bserved nrm sectr as a prime sectr) s lng, that the [MF] ends The rder f different prime and nrm sectrs when watching clckwise are cncluded purely with lgic EXAMPLES E4 Let there be the fllwing map frms (the p p is nt marked): Let the lngitudinalness number l and with the lngitudinalness number the furcateness number l x be determined fr each map frm and the fllwing result is gtten (pints a i, fr which t mx (a i ), are marked):

21 m x :l = 4, l x = l = 4 = 4 m x :l = =, l x = l = = 0 m x :l = 4 =, l x = l = = m x4 :l = 0 9 = 0, l x = l = 0 = m x5 :l = 4 8 =, l x = l = = E4 Let there be the fllwing map frms (p p is nt marked): Let the the furcateness number l x and with the furcateness number the lngitudinalness number l be determined fr each map frm and the fllwing result is gtten (pints a i, fr which t mx (a i ), are marked): m y :l x = 5 6, l = l x = 5 6 = 6 m y :l x = 5 5 =, l = l x = = 0 m y :l x = 5 0 =, l = l x = = m y4 :l x = 5 5 =, l = l x = = 0 m y5 :l x = 0 4 = 0, l = l x = 0 =

22 E4 Let structural examples be demnstrated fr the degree numbers f freedm v = 5, v + = 4, v =, v + = and v + = v = 5: Asterism v + = 4: Data structure v = : Cmpund v + = : Chart f radiactive decay v + = : Genealgy

23 E44 Let the graph f the perfect symmetry s angle functin α(m) = (n 0, n m ), m = 0,,,, α [0, 80 ] be drawn and let it be indicated why the pint is perfectly symmetric Let the line be limited as finite, let the ne head be jinted and let it be circled with the free, drawing head ne cycle arund the jinted head Let the limited line be deleted and a circle is gtten Thus by the analgy t the cnditin f the perfect symmetry is a circle (and a ball) perfectly symmetric As the infinitesimally small pint can be magnified a circle is thus als the pint perfectly symmetric E45 Let there be the fllwing map frms:

24 Let the map frms be applied with PFS and let every map frm s class f trail symmetry be defined m a is p p t-symmetric and τ p [5,6], s m a is a snwflake m a is p p t-symmetric and τ p [5,6], s m a is a snwflake m a is p p t LS - and p p t x -symmetric m a4 is p p t x -symmetric

25 m a5 is nt trail symmetric m a6 is p p t SS - and p p t LS -symmetric 5 PT-ARITHMETICS PT-arithmetics aka pint trail arithmetics and the insight f PT-arithmetics the MFMF aka the methd f finding map frms are the mst imprtant field in the MRS-thery, but d need the ther fields as a backup The PT-arithmetics is an idea t express an arbitrary Mr-system s pened sum frm and the MFMF is the executin f the idea Usually in PT-arithmetics the map frms are directly read frm the pened sum frms, but als vice versa the sum frm can be read frm the map frm (the significance f a marked p-pint is highlighted) In the pened Mr-systemsi s sum frm the sum frms f the Mr-systems are equivalent in pint sums (φ and φ determine directly the pint sum) The expressed and used number values in the PT-arithmetics belng t a grup = (n) n=0,,, = 0,,, The Mrsystems sum frms expressed in the pened Mr-systemsi s sum frm are divided in t tw classes: basic and sub frms The cncept f the PT-arithmetics cmes frm the fact that any Mrs can be expressed as the sum f pints and in the sum the sum marks summing the pints are trails 5 BASIC FORM The basic frms are in the Mr-systemsi s pened sum frm the PT-arithmetic presentatins, in which there are n arbitrary sectrs m i bracket frms A singular basic frm is expressed usually always befre pssible sub frms The bjects that belng t the basic frm are the fllwing: Σ Σ,, +,, =,, =,, =,, n x x,, n and [ ] is the prime pint and always the first term in the basic frm The quantity f the prime pint in the basic frm is always ne starts the reading f a map frm (n)

26 is the side pint and always the last term in the basic frm The quantity f the side pints in the basic frm is arbitrary (within the given limits), whereupn in the case f many side pints the grup f the side pints is the last bject in the basic frm ends the reading f a map frm (if the bject is expressed in the basic frm) + is the trail and is always between tw terms (the terms are,, n x, (n) and n ) The quantity f the visible trails is at least ne in maximum the quantity f pints minus ne (a part f the trails can be hidden in a prduct r an arbitrary sectr m ) is the multiplicatin sign and a way t reduce the quantity f the visible trails and thus the length f the PTarithmetic presentatin If an arbitrary sectr m is multiplied by a number n aka there exists a prduct m n, then there is n plus-marks aka trails in the prduct In the prduct marking the arbitrary sectr is expressed always befre the number expressing its quantity fr clarity s sake = is the equality sign is the inequality sign Σ = is the Mr-systemsi s sum frm s equivalence sign which is used between the Mr-systemsi s sum frm and the sum frm s pened frm Σ Σ Σ is the ppsite f the sign = If the sign is between the Mr-systemsi s sum frm and the sum frm s pened frm are nt the frms cncerned cnvergent in sum frm equivalence = is the pint sum equivalence s sign aka the Mr-system s sum frm equality s sign and is always between tw different sum frms The sign = can nly be used when the sum frm cming after the sign = is a new frm aka there are n cnvergent frms If the cnvergent sum frm has t be nevertheless expressed, is it afterwards discarded with square brackets [ ] is the ppsite f the sign = The sign between tw different Mr-system s sum frms means that the sum frms cncerned are nt cnvergent in sum frm equivalence Let it be bserved that arbitrary sectrs m i are expressed in basic frm in rder frm the biggest t the smallest (the case where there are identical sectrs in pint quantities is becme clear later) in the fllwing habit: + m x + m x + + m n x n,m m m n, x i 0 (can als be applied cnversely when the [SF] is read frm the map frm), m i 0, i: m i x i > 0 m x is the intersectin and ne f the arbitrary sectr s m nrm frms m x includes m pints and m trails in a way that m side pints cnnected t the nrm pint with a trail intersect frm the ne nrm pint The smallest pssible intersectin is x x (m) means that the arbitrary sectr m has bracket frms in additin t the nrm frms m x and m x (m) intersectin x als means the m is the clean rute and the secnd ne f the arbitrary sectr s m nrm frms, when there are tw nrm frms includes m pints and m trails in a way that m nrm pints are cnnected t each ther with trails in a line and the last nrm pint is yet cnnected in additin t the nrm pint the ne side pint (in ther wrds the fllwing is applied in the clean rute: τ n = ) The smallest pssible clean rute is (the side pint isn t cunted as a clean rute) [ ] arund the basic frm means that the basic frm cncerned is discarded The sign [ ] is usually used nly in the Mrsystemsi, fr which 0 = p p [ ] (cnvergent frms) The sign [ ] is called the square brackets m

27 EXAMPLES E5 Let the fllwing map frms f the sum frms be read, when 0 = p p [+]: a () a 5 () a (4) a (4) snp = +, snp = +, snp = +, snp = + x snp = + +, snp = a 6 () The fllwing map frms are gtten: x (5) x a 4 () E5 Let there be the fllwing map frms, when 0 = p p [+]: The fllwing perceptins are gtten frm the map frms: a (6) snp a (6) a (6) = snp snp a (7) snp a (6) snp a (6) sp a () np = a (6) sp = a () np a (6) sp a () np a (5) sp a () np a (6) sp a () np Let it be bserved that althugh a b c it culd still be that a = c

28 E5 Let there be the fllwing map frms ( 0 = p p [+]): The fllwing sum frms can be read frm the map frms: a (5) a (6) a () snp = + 4 x snp = + + x x snp = SUB FORM Sub frms are in Mr-systemsi s pened sum frm PT-arithmetic presentatins, in which there are arbitrary sectrs m i bracket frms Sub frms are usually nly expressed after a singular basic frm The bjects that belng t the sub frm are the fllwing: Σ Σ,, +,, =,, =,, =,, m x x,, m, [ ],, a a a m, ( ) and ) is the prime pint and always the first term in the sub frm The quantity f the prime pint in the sub frm is always ne starts the reading f the map frm and is never expressed in the parenthesis (bracket frm) is the side pint and always the last term in bth the bracket frms and the sub frm itself The quantity f the side pint in the sub frm is arbitrary (within the given limits), when in many side pints case the grup f the side pints is the last bject in the bracket frms and the sub frm itself ends the reading f the map frm (if the bject is expressed in the bracket frms r the sub frm itself) + is the trail and is always between tw terms (the terms are,, m x, (m), m, and a m ) The quantity f the visible trails is at least tw (if the nrm frms aren t seen as bracket frms, therwise the quantity has t be at least ne) and in maximum the quantity f pints minus ne (a part f the trails can be hidden in the prduct r in the arbitrary sectr m ) (m) is the multiplicatin sign and a way t reduce the quantity f the visible trails and the length f the PT-arithmetic presentatins If the arbitrary sectr m is multiplied by number n aka there exists a prduct m n, then in the prduct there is n plus-marks aka trails In the prduct marking the arbitrary sectr is always expressed befre the number expressing its quantity fr clarity s sake = is the equality sign is the inequality sign = Σ is the Mr-systemsi s sum frm s equivalence sign which is used between the Mr-systemsi s sum frm and the sum frm s pened frm x (

29 Σ Σ Σ is the ppsite f the sign = If the sign is between the Mr-systemsi s sum frm and the sum frm s pened frm are nt the frms cncerned cnvergent in sum frm equivalence = is the pint sum equivalence s sign aka the Mr-system s sum frm equality s sign and is always between tw different sum frms The sign = can nly be used when the sum frm cming after the sign = is a new frm aka there are n cnvergent frms If the cnvergent sum frm has t be nevertheless expressed, is it afterwards discarded with square brackets [ ] is the ppsite f the sign = The sign between tw different Mr-system s sum frms means that the sum frms cncerned are nt cnvergent in sum frm equivalence Let it be bserved that arbitrary sectrs m i are expressed in sub frm in rder frm the biggest t the smallest (the case where there are identical sectrs in pint quantities is becme clear in the cmbinatin system) in the fllwing habit: + m x + m x + + m n x n,m m m n, x i 0 (can als be applied cnversely when the [SF] is read frm the map frm), m i 0, i: m i x i > 0 m x is the intersectin and ne f the arbitrary sectr s m nrm frms m x includes m pints and m trails in a way that m side pints cnnected t the nrm pint with a trail intersect frm the ne nrm pint The smallest pssible intersectin is x x (m) means that the arbitrary sectr m has bracket frms in additin t the nrm frms m x and m x (m) intersectin als means the m is the clean rute and the secnd ne f the arbitrary sectr s m nrm frms, when there are tw nrm frms includes m pints and m trails in a way that m nrm pints are cnnected t each ther with trails in a line and the last nrm pint is yet cnnected in additin t the nrm pint the ne side pint (in ther wrds the fllwing is applied in the clean rute: τ n = ) The smallest pssible clean rute is (the side pint isn t cunted as a clean rute) [ ] arund the sub frm means that the sub frm cncerned is discarded The sign [ ] is usually used nly in the Mrsystemsi, fr which 0 = p p [ ] (cnvergent frms) The sign [ ] is called the square brackets is the nrm pint and always the first term in the bracket frm (als the inner bracket frms f the bracket frm) The quantity f the nrm pint in the bracket frm is always ne, but in the subfrm itself the quantity f the nrm pint is arbitrary (within given limits) Usually is never expressed utside the bracket frm a m is the abbreviatin fr the arbitrary sectr s m bracket frm, which includes parenthesis and whse running a a number is a The marking m is especially handy when m as pened frm is a lng expressin and when there are many terms (m x a i) and the cmbinatin system is used ( m fr clarity s sake is thugh pened nce within Mr-systemsi s x reach) If there is an arbitrary sectr m, which can be expressed in the frm (m) and which has n bracket frms, it can be thught that m x 0 = m ( m x = ( + (m ))) and m = m ( m = ( + ( + + ( + ) )), m bracket pairs and n-pints) The sectrs m x and m are thught as bracket frms in the cmbinatin system In general if there x are sectrs (m) and (n) x x, m > n, sectr s (m) bracket frms quantity is S m and nrm frms quantity is tw, sectr s bracket frms quantity is S n and nrm frms quantity is tw, then S m + S n + S m S n x (n) ( ) aka the parenthesis defines the starting pint (the first bracket ( ) and the ending pint (the secnd bracket ) ) f the bracket frm (n+) a ( a ) aka the bracket frm s numbered parenthesis is a tl t bring clarity especially when there are many inner a bracket frms The numbering rder f the parenthesis is the fllwing: a ( b ( b ( b ( b ) c ) + c ( c ( c ) a ) a ) ), c > c > b > b > a > a aka the number grws when ne mves frm inner t mre inner parenthesis and when ne mves frm ne bracket elabratin t anther m

30 INNER BRACKET FORMS If there is a bracket frm r there are bracket frms in the bracket frm and if there is a bracket frm r there are bracket frms in the bracket frm r in the bracket frms that were inside the riginal bracket frm and et cetera then inner bracket frms are talked abut Althugh ne wuld find inner bracket frms in a sum frm, is the sum frm cncerned seen nrmally still as a sub frm The arbitrary sectr s m bracket frms can be assembled by many different cmbinatins f inner bracket frms THE COMBINATIONS OF THE SECTORS x n x x x x If there is a grup f sectrs ( m i x i ) i=0,,, = m 0 x 0, m x, m x,, m n x n, m 0 m m m n, n 0, m i n, x i 0 in the basic frm in a way that i: m i x i > 0 aka the basic frm s frm wuld be + x i=0,,, ( m i x i ) + y + y, n 0, y 0, y 0, then the frmatin rder f the sectrs nrm and bracket frms cmbinatins is defined in the cmbinatin system THE COMBINATION SYSTEM x n x x x x Let there be a grup f sectrs ( m i x i ) i=0,,, = m 0 x 0, m x, m x,, m n x n, m 0 m m m n, n 0, m i, x i 0 in the basic frm in a way that i: m i x i > 0 and thus the basic frm s frm wuld be + n x i=0,,, ( x i ) + y + y, n 0, y 0, y 0 Nw the fllwing cmbinatin system C S is frmed: m i As the sectrs f the Mr-systemsi aren t lcked dwn but they can be mved as ne wuld like, the fllwing laws are gtten:

31 n i) Let in the cmbinatin system there be a part where there is a grup (a i ) i=0,,, = a 0, a, a,, a n in a way that the bject a i has b i bracket frms and tw nrm frms (the bjects a i are different t each n n ther) Nw the cmbinatin cefficient Z = i=0,,, ( + b i ), when nly the grup (a i ) i=0,,, is examined There are n cnvergent cmbinatins (fr example y = XY = YX = y, y = 0 X + Y, y = 0 Y + X) n ii) Let in the cmbinatin system there be a part where there is a grup (a i ) i=0,,, = a 0, a, a,, a n = a, a, a,, a in a way that the bject a i = a has b i = b bracket frms and tw nrm frms (the bjects a i are similar t each ther) Nw the cmbinatin cefficient Z < ( + b) n+,when n > 0 and Z = ( + b) n+ n,when n = 0, when nly the grup (a i ) i=0,,, = a 0, a, a,, a n = a, a, a,, a is examined There are cnvergent cmbinatins (fr example y = XY = YX = y, y = 0 X + Y, y = 0 Y + X) Example cases (the cmbinatins circled are discarded): x x 00 = m 0 m 0 = 0 cmbinatin = c 0 x 0 = m 0 m 0 = cmbinatin = c = m 0 m 0 = cmbinatin = c 00 = m 0 0 = m 0 0 = m 0 = m 0 x m x m m x = c 0 = c m x = c = c

32 x x 00 = = c 0 m 0 m 0 0 = m 0 0 = m 0 = m 0 = m 0 x m 0 = c x m 0 m 0 m 0 = m 0 = c = c = c 4 m 0 = c 5 00 = m 0 0 = m 0 0 = m 0 0 = m 0 = m 0 = m 0 0 = m 0 = m 0 = m 0 x m x m x = c 0 = c x m m m m = c x = c = c 4 m m = c 5 x = c 6 = c 7 m = c 8

33 x x x 000 = = c 0 m 0 m m x x 00 = m 0 m m = c x x 00 = m 0 m m = c x 0 = m 0 m m = c x x 00 = m 0 m m = c 4 x 0 = m 0 m m = c 5 x x 00 = m 0 m m = c 6 x 0 = m 0 m m = c 7 x 0 = m 0 m m = c 8 = m 0 m m = c 9 x 0 = m 0 m m = c 0 = m 0 m m = c x x 00 = m 0 m m = c x 0 = m 0 m m = c x 0 = m 0 m m = c 4 = m 0 m m = c 5 x 0 = m 0 m m = c 6 = m 0 m m = c 7 x x 00 = m 0 m m = c 8 x 0 = m 0 m m = c 9 x 0 = m 0 m m = c 0

34 = = c m 0 m m x 0 = m 0 m m = c = m 0 m m = c 0000 = m = m = m 0 00 = m 0 00 = m 0 0 = m = m 0 00 = m 0 00 = m 0 0 = m 0 0 = m 0 = m = m 0 00 = m 0 00 = m 0 0 = m 0 0 = m 0 = m 0 x x x m m m x x x m m m x x m m m x x m m m x m m m x m m m x x m m m x x m m m x m m m x m m m m m m m m m x x m m m x x m m m x m m m x m m m m m m m m m x = c 0 = c x = c = c x = c 4 = c 5 x = c 6 = c 7 x = c 8 = c 9 x = c 0 = c x = c = c x = c 4 = c 5 x = c 6 = c 7

35 EXAMPLES E5 Let the map frms f the fllwing sum frms be drawn, when the Mrs is p p [+] a () snp a (5) snp a (6) snp a 4 (8) snp a 5 (0) snp a 6 (4) snp = + ( = + ( = + ( = ) + ) + + ) + + x + ( + (5) = + ( = + ( ) x (4) x + + ) + x ) + + The fllwing map frms are gtten: Let it be bserved that fr example + ( + ) = + and + ( + ) = + x E5 Let the map frms f the fllwing sum frms be drawn, when the Mrs is p p [ ] a (8) snp a (5) snp a (0) snp a 4 () snp = + ( = + ( = + + ) + ( + ) + + ) + ( + ) + ( + ) + + x (4) + + ( + ) + ( + ) + = + ( + ( + )) + +

37 Maxwell s Equations

37 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 information

5 th grade Common Core Standards

5 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 information

Chapter 9 Vector Differential Calculus, Grad, Div, Curl

Chapter 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 information

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving.

This 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 information

We can see from the graph above that the intersection is, i.e., [ ).

We 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 information

Bootstrap 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) >

Bootstrap 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 information

, which yields. where z1. and z2

, 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 information

THE LIFE OF AN OBJECT IT SYSTEMS

THE LIFE OF AN OBJECT IT SYSTEMS THE LIFE OF AN OBJECT IT SYSTEMS Persns, bjects, r cncepts frm the real wrld, which we mdel as bjects in the IT system, have "lives". Actually, they have tw lives; the riginal in the real wrld has a life,

More information

ENGI 4430 Parametric Vector Functions Page 2-01

ENGI 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 information

Computational modeling techniques

Computational 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 information

MATHEMATICS SYLLABUS SECONDARY 5th YEAR

MATHEMATICS 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 information

Building to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems.

Building 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 information

4th Indian Institute of Astrophysics - PennState Astrostatistics School July, 2013 Vainu Bappu Observatory, Kavalur. Correlation and Regression

4th 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 information

Function notation & composite functions Factoring Dividing polynomials Remainder theorem & factor property

Function 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 information

Interference is when two (or more) sets of waves meet and combine to produce a new pattern.

Interference is when two (or more) sets of waves meet and combine to produce a new pattern. Interference Interference is when tw (r mre) sets f waves meet and cmbine t prduce a new pattern. This pattern can vary depending n the riginal wave directin, wavelength, amplitude, etc. The tw mst extreme

More information

The standards are taught in the following sequence.

The 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 information

READING STATECHART DIAGRAMS

READING 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 information

Introduction to Spacetime Geometry

Introduction 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 information

Chapter 3: Cluster Analysis

Chapter 3: Cluster Analysis Chapter 3: Cluster Analysis } 3.1 Basic Cncepts f Clustering 3.1.1 Cluster Analysis 3.1. Clustering Categries } 3. Partitining Methds 3..1 The principle 3.. K-Means Methd 3..3 K-Medids Methd 3..4 CLARA

More information

Matter Content from State Frameworks and Other State Documents

Matter Content from State Frameworks and Other State Documents Atms and Mlecules Mlecules are made f smaller entities (atms) which are bnded tgether. Therefre mlecules are divisible. Miscnceptin: Element and atm are synnyms. Prper cnceptin: Elements are atms with

More information

CHAPTER 2 Algebraic Expressions and Fundamental Operations

CHAPTER 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 )

[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 information

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes

Chemistry 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 information

making triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y=

making triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y= Intrductin t Vectrs I 21 Intrductin t Vectrs I 22 I. Determine the hrizntal and vertical cmpnents f the resultant vectr by cunting n the grid. X= y= J. Draw a mangle with hrizntal and vertical cmpnents

More information

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards:

MODULE 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 information

Math Foundations 10 Work Plan

Math 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 information

20 Faraday s Law and Maxwell s Extension to Ampere s Law

20 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 information

Competency Statements for Wm. E. Hay Mathematics for grades 7 through 12:

Competency Statements for Wm. E. Hay Mathematics for grades 7 through 12: Cmpetency Statements fr Wm. E. Hay Mathematics fr grades 7 thrugh 12: Upn cmpletin f grade 12 a student will have develped a cmbinatin f sme/all f the fllwing cmpetencies depending upn the stream f math

More information

Stage 6 PROMPT sheet. 2 > -2 We say 2 is bigger than -2-2 < 2 We say -2 is less than 2. 6/2 Negative numbers. l l l l l l l

Stage 6 PROMPT sheet. 2 > -2 We say 2 is bigger than -2-2 < 2 We say -2 is less than 2. 6/2 Negative numbers. l l l l l l l Stage 6 PROMPT sheet 6/ Place value in numbers t 0millin The psitin f the digit gives its size Ten millins Millins Hundred thusands Ten thusands thusands hundreds tens units 4 5 6 7 8 Example The value

More information

Lab 1 The Scientific Method

Lab 1 The Scientific Method INTRODUCTION The fllwing labratry exercise is designed t give yu, the student, an pprtunity t explre unknwn systems, r universes, and hypthesize pssible rules which may gvern the behavir within them. Scientific

More information

Module 4: General Formulation of Electric Circuit Theory

Module 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 information

Physics 2010 Motion with Constant Acceleration Experiment 1

Physics 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 information

(for students at grades 7 and 8, Gymnasium)

(for students at grades 7 and 8, Gymnasium) Kanguru Sans Frntières Kanguru Maths 009 Level: 7-8 (fr students at grades 7 and 8, Gymnasium) pints questins: ) Amng these numbers, which ne is even? 009 9 Β) 008 + 009 C) 000 9 D) 000 9 Ε) 000 + 9 )

More information

Figure 1a. A planar mechanism.

Figure 1a. A planar mechanism. ME 5 - Machine Design I Fall Semester 0 Name f Student Lab Sectin Number EXAM. OPEN BOOK AND CLOSED NOTES. Mnday, September rd, 0 Write n ne side nly f the paper prvided fr yur slutins. Where necessary,

More information

CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS

CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS CHAPTER 4 DIAGNOSTICS FOR INFLUENTIAL OBSERVATIONS 1 Influential bservatins are bservatins whse presence in the data can have a distrting effect n the parameter estimates and pssibly the entire analysis,

More information

Medium Scale Integrated (MSI) devices [Sections 2.9 and 2.10]

Medium 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

Homology groups of disks with holes

Homology 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 information

d sinθ = mλ Interference and diffraction double slit or diffraction grating d sinθ = mλ d sinθ is the path difference x (small angle approximation)

d sinθ = mλ Interference and diffraction double slit or diffraction grating d sinθ = mλ d sinθ is the path difference x (small angle approximation) Wave Optics Wave prperties f light The clrs in a rainbw are ROY G. BIV (Red, range, yellw, green, blue, indig, vilet). White light is a cmbinatin f all clrs Black is the absence f light Wavelength determines

More information

General Chemistry II, Unit I: Study Guide (part I)

General Chemistry II, Unit I: Study Guide (part I) 1 General Chemistry II, Unit I: Study Guide (part I) CDS Chapter 14: Physical Prperties f Gases Observatin 1: Pressure- Vlume Measurements n Gases The spring f air is measured as pressure, defined as the

More information

Aristotle I PHIL301 Prof. Oakes Winthrop University updated: 3/14/14 8:48 AM

Aristotle I PHIL301 Prof. Oakes Winthrop University updated: 3/14/14 8:48 AM Aristtle I PHIL301 Prf. Oakes Winthrp University updated: 3/14/14 8:48 AM The Categries - The Categries is ne f several imprtant wrks by Aristtle n metaphysics. His tpic here is the classificatin f beings

More information

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018

Physics 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 information

AP Physics. Summer Assignment 2012 Date. Name. F m = = + What is due the first day of school? a. T. b. = ( )( ) =

AP Physics. Summer Assignment 2012 Date. Name. F m = = + What is due the first day of school? a. T. b. = ( )( ) = P Physics Name Summer ssignment 0 Date I. The P curriculum is extensive!! This means we have t wrk at a fast pace. This summer hmewrk will allw us t start n new Physics subject matter immediately when

More information

Fall 2013 Physics 172 Recitation 3 Momentum and Springs

Fall 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 information

Preparation work for A2 Mathematics [2018]

Preparation 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 information

MODULE 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

MODULE 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 information

(2) Even if such a value of k was possible, the neutrons multiply

(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 information

Differentiation Applications 1: Related Rates

Differentiation 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 information

WYSE Academic Challenge Regional Mathematics 2007 Solution Set

WYSE Academic Challenge Regional Mathematics 2007 Solution Set WYSE Academic Challenge Reginal Mathematics 007 Slutin Set 1. Crrect answer: C. ( ) ( ) 1 + y y = ( + ) + ( y y + 1 ) = + 1 1 ( ) ( 1 + y ) = s *1/ = 1. Crrect answer: A. The determinant is ( 1 ( 1) )

More information

Preparation work for A2 Mathematics [2017]

Preparation 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 information

Thermodynamics and Equilibrium

Thermodynamics 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 information

Hubble s Law PHYS 1301

Hubble s Law PHYS 1301 1 PHYS 1301 Hubble s Law Why: The lab will verify Hubble s law fr the expansin f the universe which is ne f the imprtant cnsequences f general relativity. What: Frm measurements f the angular size and

More information

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs

Admissibility 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 information

SPH3U1 Lesson 06 Kinematics

SPH3U1 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 information

Emphases in Common Core Standards for Mathematical Content Kindergarten High School

Emphases 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 information

GAUSS' LAW E. A. surface

GAUSS' 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 information

NUMBERS, MATHEMATICS AND EQUATIONS

NUMBERS, 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 information

You need to be able to define the following terms and answer basic questions about them:

You 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 information

Pipetting 101 Developed by BSU CityLab

Pipetting 101 Developed by BSU CityLab Discver the Micrbes Within: The Wlbachia Prject Pipetting 101 Develped by BSU CityLab Clr Cmparisns Pipetting Exercise #1 STUDENT OBJECTIVES Students will be able t: Chse the crrect size micrpipette fr

More information

Math 9 Year End Review Package. (b) = (a) Side length = 15.5 cm ( area ) (b) Perimeter = 4xside = 62 m

Math 9 Year End Review Package. (b) = (a) Side length = 15.5 cm ( area ) (b) Perimeter = 4xside = 62 m Math Year End Review Package Chapter Square Rts and Surface Area KEY. Methd #: cunt the number f squares alng the side ( units) Methd #: take the square rt f the area. (a) 4 = 0.7. = 0.. _Perfect square

More information

To get you thinking...

To get you thinking... T get yu thinking... 1.) What is an element? Give at least 4 examples f elements. 2.) What is the atmic number f hydrgen? What des a neutral hydrgen atm cnsist f? Describe its "mtin". 3.) Hw des an atm

More information

Lyapunov Stability Stability of Equilibrium Points

Lyapunov 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 information

PLEASURE TEST SERIES (XI) - 07 By O.P. Gupta (For stuffs on Math, click at theopgupta.com)

PLEASURE TEST SERIES (XI) - 07 By O.P. Gupta (For stuffs on Math, click at theopgupta.com) A Cmpilatin By : OP Gupta (WhatsApp @ +9-9650 50 80) Fr mre stuffs n Maths, please visit : wwwtheopguptacm Time Allwed : 80 Minutes Max Marks : 00 SECTION A Questin numbers 0 t 0 carry mark each x x 5

More information

Phys. 344 Ch 7 Lecture 8 Fri., April. 10 th,

Phys. 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 information

Getting Involved O. Responsibilities of a Member. People Are Depending On You. Participation Is Important. Think It Through

Getting 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 information

How do scientists measure trees? What is DBH?

How do scientists measure trees? What is DBH? Hw d scientists measure trees? What is DBH? Purpse Students develp an understanding f tree size and hw scientists measure trees. Students bserve and measure tree ckies and explre the relatinship between

More information

CESAR Science Case The differential rotation of the Sun and its Chromosphere. Introduction. Material that is necessary during the laboratory

CESAR Science Case The differential rotation of the Sun and its Chromosphere. Introduction. Material that is necessary during the laboratory Teacher s guide CESAR Science Case The differential rtatin f the Sun and its Chrmsphere Material that is necessary during the labratry CESAR Astrnmical wrd list CESAR Bklet CESAR Frmula sheet CESAR Student

More information

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets

Department 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 information

Subject description processes

Subject description processes Subject representatin 6.1.2. Subject descriptin prcesses Overview Fur majr prcesses r areas f practice fr representing subjects are classificatin, subject catalging, indexing, and abstracting. The prcesses

More information

Cambridge Assessment International Education Cambridge Ordinary Level. Published

Cambridge Assessment International Education Cambridge Ordinary Level. Published Cambridge Assessment Internatinal Educatin Cambridge Ordinary Level ADDITIONAL MATHEMATICS 4037/1 Paper 1 Octber/Nvember 017 MARK SCHEME Maximum Mark: 80 Published This mark scheme is published as an aid

More information

Thermodynamics Partial Outline of Topics

Thermodynamics 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 information

1 The limitations of Hartree Fock approximation

1 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 information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

Rangely RE 4 Curriculum Development 5 th Grade Mathematics

Rangely RE 4 Curriculum Development 5 th Grade Mathematics Unit Title Dctr We Still Need t Operate... Length f Unit 12 weeks Fcusing Lens(es) Inquiry Questins (Engaging Debatable): Structure Systems Standards and Grade Level Expectatins Addressed in this Unit

More information

Writing Guidelines. (Updated: November 25, 2009) Forwards

Writing Guidelines. (Updated: November 25, 2009) Forwards Writing Guidelines (Updated: Nvember 25, 2009) Frwards I have fund in my review f the manuscripts frm ur students and research assciates, as well as thse submitted t varius jurnals by thers that the majr

More information

AIP Logic Chapter 4 Notes

AIP Logic Chapter 4 Notes AIP Lgic Chapter 4 Ntes Sectin 4.1 Sectin 4.2 Sectin 4.3 Sectin 4.4 Sectin 4.5 Sectin 4.6 Sectin 4.7 4.1 The Cmpnents f Categrical Prpsitins There are fur types f categrical prpsitins. Prpsitin Letter

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

Physics 101 Math Review. Solutions

Physics 101 Math Review. Solutions Physics 0 Math eview Slutins . The fllwing are rdinary physics prblems. Place the answer in scientific ntatin when apprpriate and simplify the units (Scientific ntatin is used when it takes less time t

More information

Compressibility Effects

Compressibility Effects Definitin f Cmpressibility All real substances are cmpressible t sme greater r lesser extent; that is, when yu squeeze r press n them, their density will change The amunt by which a substance can be cmpressed

More information

Lifting a Lion: Using Proportions

Lifting a Lion: Using Proportions Overview Students will wrk in cperative grups t slve a real-wrd prblem by using the bk Hw D yu Lift a Lin? Using a ty lin and a lever, students will discver hw much wrk is needed t raise the ty lin. They

More information

2.161 Signal Processing: Continuous and Discrete Fall 2008

2.161 Signal Processing: Continuous and Discrete Fall 2008 MIT OpenCurseWare http://cw.mit.edu 2.161 Signal Prcessing: Cntinuus and Discrete Fall 2008 Fr infrmatin abut citing these materials r ur Terms f Use, visit: http://cw.mit.edu/terms. Massachusetts Institute

More information

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method.

Lesson 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 information

6.3: Volumes by Cylindrical Shells

6.3: Volumes by Cylindrical Shells 6.3: Vlumes by Cylindrical Shells Nt all vlume prblems can be addressed using cylinders. Fr example: Find the vlume f the slid btained by rtating abut the y-axis the regin bunded by y = 2x x B and y =

More information

I. Analytical Potential and Field of a Uniform Rod. V E d. The definition of electric potential difference is

I. Analytical Potential and Field of a Uniform Rod. V E d. The definition of electric potential difference is Length L>>a,b,c Phys 232 Lab 4 Ch 17 Electric Ptential Difference Materials: whitebards & pens, cmputers with VPythn, pwer supply & cables, multimeter, crkbard, thumbtacks, individual prbes and jined prbes,

More information

Chem 115 POGIL Worksheet - Week 12 Molecular Shapes

Chem 115 POGIL Worksheet - Week 12 Molecular Shapes Chem 115 POGIL Wrksheet - Week 12 Mlecular Shapes Why? Cntrary t the impressin that Lewis structures may give, many mlecules have threedimensinal gemetries. These mlecular shapes are very imprtant t understanding

More information

A proposition is a statement that can be either true (T) or false (F), (but not both).

A 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 information

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.

Sections 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 information

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce

More information

A Matrix Representation of Panel Data

A 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 information

1 Course Notes in Introductory Physics Jeffrey Seguritan

1 Course Notes in Introductory Physics Jeffrey Seguritan Intrductin & Kinematics I Intrductin Quickie Cncepts Units SI is standard system f units used t measure physical quantities. Base units that we use: meter (m) is standard unit f length kilgram (kg) is

More information

Math 302 Learning Objectives

Math 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 information

An Introduction to Complex Numbers - A Complex Solution to a Simple Problem ( If i didn t exist, it would be necessary invent me.

An 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 information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

Chapters 29 and 35 Thermochemistry and Chemical Thermodynamics

Chapters 29 and 35 Thermochemistry and Chemical Thermodynamics Chapters 9 and 35 Thermchemistry and Chemical Thermdynamics 1 Cpyright (c) 011 by Michael A. Janusa, PhD. All rights reserved. Thermchemistry Thermchemistry is the study f the energy effects that accmpany

More information

Chem 163 Section: Team Number: ALE 24. Voltaic Cells and Standard Cell Potentials. (Reference: 21.2 and 21.3 Silberberg 5 th edition)

Chem 163 Section: Team Number: ALE 24. Voltaic Cells and Standard Cell Potentials. (Reference: 21.2 and 21.3 Silberberg 5 th edition) Name Chem 163 Sectin: Team Number: ALE 24. Vltaic Cells and Standard Cell Ptentials (Reference: 21.2 and 21.3 Silberberg 5 th editin) What des a vltmeter reading tell us? The Mdel: Standard Reductin and

More information

ENGINEERING COUNCIL CERTIFICATE LEVEL THERMODYNAMIC, FLUID AND PROCESS ENGINEERING C106 TUTORIAL 5 THE VISCOUS NATURE OF FLUIDS

ENGINEERING COUNCIL CERTIFICATE LEVEL THERMODYNAMIC, FLUID AND PROCESS ENGINEERING C106 TUTORIAL 5 THE VISCOUS NATURE OF FLUIDS ENGINEERING COUNCIL CERTIFICATE LEVEL THERMODYNAMIC, FLUID AND PROCESS ENGINEERING C106 TUTORIAL 5 THE VISCOUS NATURE OF FLUIDS On cmpletin f this tutrial yu shuld be able t d the fllwing. Define viscsity

More information

Chem 115 POGIL Worksheet - Week 8 Thermochemistry (Continued), Electromagnetic Radiation, and Line Spectra

Chem 115 POGIL Worksheet - Week 8 Thermochemistry (Continued), Electromagnetic Radiation, and Line Spectra Chem 115 POGIL Wrksheet - Week 8 Thermchemistry (Cntinued), Electrmagnetic Radiatin, and Line Spectra Why? As we saw last week, enthalpy and internal energy are state functins, which means that the sum

More information

Lab #3: Pendulum Period and Proportionalities

Lab #3: Pendulum Period and Proportionalities Physics 144 Chwdary Hw Things Wrk Spring 2006 Name: Partners Name(s): Intrductin Lab #3: Pendulum Perid and Prprtinalities Smetimes, it is useful t knw the dependence f ne quantity n anther, like hw the

More information

5 th Grade Goal Sheet

5 th Grade Goal Sheet 5 th Grade Gal Sheet Week f Nvember 19 th, 2018 Upcming dates: 11/19 Franklin Institute Field Trip: Pack a Lunch 11/22 and 11/23 Schl Clsed fr the Thanksgiving Break. Frm Ms. Simmns: Dear 5 th Grade Students,

More information

ECE 5318/6352 Antenna Engineering. Spring 2006 Dr. Stuart Long. Chapter 6. Part 7 Schelkunoff s Polynomial

ECE 5318/6352 Antenna Engineering. Spring 2006 Dr. Stuart Long. Chapter 6. Part 7 Schelkunoff s Polynomial ECE 538/635 Antenna Engineering Spring 006 Dr. Stuart Lng Chapter 6 Part 7 Schelkunff s Plynmial 7 Schelkunff s Plynmial Representatin (fr discrete arrays) AF( ψ ) N n 0 A n e jnψ N number f elements in

More information