Graphs Recall from last time: A graph is a set of objects, or vertices, together with a (multi)set of edges that connect pairs of vertices.
|
|
- Peregrine McKenzie
- 5 years ago
- Views:
Transcription
1 Graphs Reall from last time: A graph is a set of ojets, or erties, together ith a (mlti)set of eges that onnet pairs of erties. Eample: e 2 e 3 e 4 e 5 e 1 Here, the erties are V t,,,,, an the eges are E te 1, e 2, e 3, e 4, e 5. We sa a erte a is ajaent to a erte if there is an ege onneting a an. (Notie that for a generi graph, ajaen is a smmetri relation, t is not refleie nor is it transitie.) We sa that an ege is inient to a erte if the ege onnets to the erte. For eample, in G, e 2 is inient to an ; e 5 is inient to. Neighors an egree G e 2 e 3 e 4 e 5 e 1 Npq t, Npq t Npq t Npq t Npq t, egpq 2 egpq 1 egpq 1 egpq 1 egpq 1 If to erties an are ajaent, e e sa that the are neighors, anthat is in the neighorhoo Npq of (an ie-ersa). The egree egpq of a erte is the nmer of ege ens attahe to. We all a graph reglar if all the erties hae the same egree.
2 Simple graphs A graph is simple if there are no loops an eer pair of erties has at most one ege eteen them. Simple! NOT simple! NOT simple!
3 Graph isomorphisms We sa to graphs G an G 1 are isomorphi (ritten G G 1 )if there is a relaeling of the erties of G that transforms it into G 1. In other ors, there is a ijetion f : V Ñ V 1 sh that the ine map on E is a ijetion f : E Ñ E 1. For eample, G a an G 1 are isomorphi ia the map a fiñ, fiñ, fiñ, fiñ. Graph isomorphisms We sa to graphs G an G 1 are isomorphi if there is a relaeling of the erties of G that transforms it into G 1. In other ors, there is a ijetion f : V Ñ V 1 sh that the ine map on E is a ijetion f : E Ñ E 1. For eample, G a an G 1 are isomorphi ia the map (oesn t epen on the raing) a fiñ, fiñ, fiñ, fiñ.
4 Reall: an eqialene relation on a set A is a pairing that is refleie (a a), smmetri (a i a), an transitie (a an implies a ). Gien an eqialene relation, an eqialene lass is a maimal set of things that are pairise eqialent. Here, if G is the set of all graphs, then G H heneer G is isomorphi to H is an eqialene relation. For an eqialene lass of graphs, e ra the assoiate nlaele graph. For eample, the eqialene lass of graphs orresponing to G a is a. Speial graphs Cles. A le C n is the eqialene lass of simple graphs on n erties t 1, 2,..., n so that i is ajaent to i 1 ( 1 is ajaent to n ). eqialene lass C 5 1 one graph in the lass C Wheels. A heel W n is the le C n together ith an aitional erte that is ajaent to eer other erte. eqialene lass W 5 one graph in the lass W
5 Speial graphs Complete graphs. The omplete graph on n erties, enote K n, is the eqialene lass of simple graphs on n erties so that Npq V t for all all P V. For eample, K 1 K 2 K 3 K 4 K 5 Bipartite graphs. A graph is ipartite if V an e partitione into to nonempt ssets V 1 an V 2 so that no erte in V i is ajaent to an other erte in V i for i 1 or 2. In partilar, for an m n 1, theomplete ipartite graph K n,m is the lass of simple graphs orresponing to the graph ith erties V V 1 Y V 2,here V 1 t 1,..., n V 2 t 1, m for all i. For eample, Np i q V 2 an Np i q V 1 K 7,3 One a to sho that a graph is ipartite is to olor the erties to i erent olors, so that no to erties of the same olor are ajaent.
6 Bipartite graphs. A graph is ipartite if V an e partitione into to nonempt ssets V 1 an V 2 so that no erte in V i is ajaent to an other erte in V i for i 1 or 2. One a to sho that a graph is ipartite is to olor the erties to i erent olors, so that no to erties of the same olor are ajaent. Hperes. Let Q n e the graph ith erte set V tit strings (1 s an 0 s) of length n an ege set E t an i er in eatl one it Q Q Q Color erties ith an een nmer of 0 s re. Graph inariants To proe that to graphs are isomorphi, o nee to fin an isomorphism. To sho that the re not isomorphi, o hae to sho that no isomorphism eists, hih an e harer!so e look for properties of the graphs that are presere isomorphisms. These are alle (graph) inariants. Eample: The nmer of erties in a graph is an inariant. (If G is isomorphi to H, then there is a ijetion eteen their erte sets, so those erte sets mst hae the same size. Conersel, if G an H hae a i erent nmer of erties, then no sh ijetion eits.) For eample, C 5 an C 6 are i erent isomorphism lasses. Similarl, the nmer of eges in a graph is an inariant. For eample, C 5 an K 5 are i erent isomorphism lasses.
7 Graph inariants To proe that to graphs are isomorphi, o nee to fin an isomorphism. To sho that the re not isomorphi, o hae to sho that no isomorphism eists, hih an e harer! So e look for properties of the graphs that are presere isomorphisms. These are alle (graph) inariants. Eample: The egree seqene of a graph is the list of egrees of erties in the graph, gien in ereasing orer. For eample, the egree seqene of a G e f is 6, 5, 4, 3, 2, 0. (Again, if the egree seqenes of G an H i er, then G fl H. Bt if the egree seqenes math, the might e isomorphi, t the might not e.) Graph inariants For eample, onsier the graphs G H 7 8 Both of these graphs hae the egree seqene 3, 3, 2, 2, 1, 1, 1, 1. Bt in G, there s a erte of egree 1 ajaent to a erte of egree 2, here as no erte of egree 1 is ajaent to a erte of egree 2 in H. SoG fl H.
Connectivity in Graphs. CS311H: Discrete Mathematics. Graph Theory II. Example. Paths. Connectedness. Example
Connetiit in Grphs CSH: Disrete Mthemtis Grph Theor II Instrtor: Işıl Dillig Tpil qestion: Is it possile to get from some noe to nother noe? Emple: Trin netork if there is pth from to, possile to tke trin
More informationA FRACTIONAL ANALOGUE OF BROOKS THEOREM
A FRACTIONAL ANALOGUE OF BROOKS THEOREM ANDREW D. KING, LINYUAN LU, AND XING PENG Astrt. Let (G) e the mimm egree of grph G. Brooks theorem sttes tht the onl onnete grphs ith hromti nmer χ(g) = (G) + 1
More informationSolutions for HW9. Bipartite: put the red vertices in V 1 and the black in V 2. Not bipartite!
Solutions for HW9 Exerise 28. () Drw C 6, W 6 K 6, n K 5,3. C 6 : W 6 : K 6 : K 5,3 : () Whih of the following re iprtite? Justify your nswer. Biprtite: put the re verties in V 1 n the lk in V 2. Biprtite:
More informationLecture 5 November 6, 2012
Hypercbe problems Lectre 5 Noember 6, 2012 Lectrer: Petr Gregor Scribe by: Kryštof Měkta Updated: Noember 22, 2012 1 Partial cbes A sbgraph H of G is isometric if d H (, ) = d G (, ) for eery, V (H); that
More informationCSE 5311 Notes 18: NP-Completeness
SE 53 Notes 8: NP-ompleteness (Last upate 7//3 8:3 PM) ELEMENTRY ONEPTS Satisfiability: ( p q) ( p q ) ( p q) ( p q ) Is there an assignment? (Deision Problem) Similar to ebugging a logi iruit - Is there
More informationG. Mahadevan 1 Selvam Avadayappan 2 V. G. Bhagavathi Ammal 3 T. Subramanian 4
G. Mahadean, Selam Aadaappan, V. G. Bhagaathi Ammal, T. Sbramanian / International Jornal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Isse 6, Noember- December
More informationOn the Inconsistency of Mumma s Eu
Notre Dame Jornal of Formal Logi On the Inonsisten of Mmma s E Nathaniel Miller Abstrat In seeral artiles, John Mmma has presente a formal iagrammati sstem E meant to gie an aont of one a in hih Eli s
More informationNetwork Flow Problems Luis Goddyn, Math 408
Network Flow Problems Luis Goddyn, Math 48 Let D = (V, A) be a directed graph, and let s, t V (D). For S V we write δ + (S) = {u A : u S, S} and δ (S) = {u A : u S, S} for the in-arcs and out-arcs of S
More informationMining Statistically Significant Attribute Associations in Attributed Graphs
Mining Statistiall Signifiant Attriute Assoiations in Attriute Graphs Jihan Lee Department of Computer Siene Purue Universit West Lafaette, IN Email: jihan@purue.eu Keehan Park Department of Computer Siene
More informationAn example of Lagrangian for a non-holonomic system
Uniersit of North Georgia Nighthaks Open Institutional Repositor Facult Publications Department of Mathematics 9-9-05 An eample of Lagrangian for a non-holonomic sstem Piotr W. Hebda Uniersit of North
More informationGraph Theory. Simple Graph G = (V, E). V={a,b,c,d,e,f,g,h,k} E={(a,b),(a,g),( a,h),(a,k),(b,c),(b,k),...,(h,k)}
Grph Theory Simple Grph G = (V, E). V ={verties}, E={eges}. h k g f e V={,,,,e,f,g,h,k} E={(,),(,g),(,h),(,k),(,),(,k),...,(h,k)} E =16. 1 Grph or Multi-Grph We llow loops n multiple eges. G = (V, E.ψ)
More informationDeflection of Beams by Means of Static Green Functions
Uniersl Jornl o ehnil Engineering : 9- DOI:.89/jme.. http://.hrp.org Deletion o ems y ens o Stti Green ntions. A-Hill Deprtment o ehnil Engineering Zrq Uniersity Jorn Copyright y thors ll rights resere.
More informationf'(x) = x 4 (2)(x - 6)(1) + (x - 6) 2 (4x 3 ) f'(x) = (x - 2) -1/3 = x 2 ; domain of f: (-, ) f'(x) = (x2 + 1)4x! 2x 2 (2x) 4x f'(x) =
85. f() = 4 ( - 6) 2 f'() = 4 (2)( - 6)(1) + ( - 6) 2 (4 3 ) = 2 3 ( - 6)[ + 2( - 6)] = 2 3 ( - 6)(3-12) = 6 3 ( - 4)( - 6) Thus, the critical values are = 0, = 4, and = 6. Now we construct the sign chart
More informationarxiv: v1 [math.co] 25 Sep 2016
arxi:1609.077891 [math.co] 25 Sep 2016 Total domination polynomial of graphs from primary sbgraphs Saeid Alikhani and Nasrin Jafari September 27, 2016 Department of Mathematics, Yazd Uniersity, 89195-741,
More informationChapter 2: One-dimensional Steady State Conduction
1 Chapter : One-imensional Steay State Conution.1 Eamples of One-imensional Conution Eample.1: Plate with Energy Generation an Variable Conutivity Sine k is variable it must remain insie the ifferentiation
More informationComputing 2-Walks in Cubic Time
Computing 2-Walks in Cubi Time Anreas Shmi Max Plank Institute for Informatis Jens M. Shmit Tehnishe Universität Ilmenau Abstrat A 2-walk of a graph is a walk visiting every vertex at least one an at most
More informationDesert Mountain H. S. Math Department Summer Work Packet
Corse #50-51 Desert Montain H. S. Math Department Smmer Work Packet Honors/AP/IB level math corses at Desert Montain are for stents who are enthsiastic learners of mathematics an whose work ethic is of
More informationCIT 596 Theory of Computation 1. Graphs and Digraphs
CIT 596 Theory of Computtion 1 A grph G = (V (G), E(G)) onsists of two finite sets: V (G), the vertex set of the grph, often enote y just V, whih is nonempty set of elements lle verties, n E(G), the ege
More informationThe numbers inside a matrix are called the elements or entries of the matrix.
Chapter Review of Matries. Definitions A matrix is a retangular array of numers of the form a a a 3 a n a a a 3 a n a 3 a 3 a 33 a 3n..... a m a m a m3 a mn We usually use apital letters (for example,
More informationx f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.
Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?
More information1 ode.mcd. Find solution to ODE dy/dx=f(x,y). Instructor: Nam Sun Wang
Fin solution to ODE /=f(). Instructor: Nam Sun Wang oe.mc Backgroun. Wen a sstem canges wit time or wit location, a set of ifferential equations tat contains erivative terms "/" escribe suc a namic sstem.
More informationNP and NP-Completeness
0/2/206 Algorithms NP-Completeness 7- Algorithms NP-Completeness 7-2 Efficient Certification NP and NP-Completeness By a solution of a decision problem X we understand a certificate witnessing that an
More informationLecture 4: Graph Theory and the Four-Color Theorem
CCS Disrete II Professor: Pri Brtlett Leture 4: Grph Theory n the Four-Color Theorem Week 4 UCSB 2015 Through the rest of this lss, we re going to refer frequently to things lle grphs! If you hen t seen
More informationWorksheet #2 Math 285 Name: 1. Solve the following systems of linear equations. The prove that the solutions forms a subspace of
Worsheet # th Nme:. Sole the folloing sstems of liner equtions. he proe tht the solutions forms suspe of ) ). Find the neessr nd suffiient onditions of ll onstnts for the eistene of solution to the sstem:.
More informationLESSON 35: EIGENVALUES AND EIGENVECTORS APRIL 21, (1) We might also write v as v. Both notations refer to a vector.
LESSON 5: EIGENVALUES AND EIGENVECTORS APRIL 2, 27 In this contet, a vector is a column matri E Note 2 v 2, v 4 5 6 () We might also write v as v Both notations refer to a vector (2) A vector can be man
More informationSAMPLE FINAL EXAM MATH 16A WINTER 2017
SAMPLE FINAL EXAM MATH 16A WINTER 2017 The final eam consists of 5 parts, worth a total of 40 points. You are not allowe to use books, calculators, mobile phones or anything else besies your writing utensils.
More informationCounting Paths Between Vertices. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs. Isomorphism of Graphs
Isomorphism of Grphs Definition The simple grphs G 1 = (V 1, E 1 ) n G = (V, E ) re isomorphi if there is ijetion (n oneto-one n onto funtion) f from V 1 to V with the property tht n re jent in G 1 if
More informationChapter 2: Rigid Body Motions and Homogeneous Transforms
Chater : igi Bo Motion an Homogeneou Tranform (original lie b Stee from Harar) ereenting oition Definition: oorinate frame Aetn n of orthonormal bai etor anning n For eamle When rereenting a oint we nee
More informationLecture 6: Calculus. In Song Kim. September 7, 2011
Lecture 6: Calculus In Song Kim September 7, 20 Introuction to Differential Calculus In our previous lecture we came up with several ways to analyze functions. We saw previously that the slope of a linear
More information= 1 u 6x 2 4 2x 3 4x + 5. d dv (3v2 + 9v) = 6v v + 9 3v 2 + 9v dx = ln 3v2 + 9v + C. dy dx ay = eax.
Math 220- Mock Eam Soutions. Fin the erivative of n(2 3 4 + 5). To fin the erivative of n(2 3 4+5) we are going to have to use the chain rue. Let u = 2 3 4+5, then u = 62 4. (n(2 3 4 + 5) = (nu) u u (
More informationOn Gallai s and Hajós Conjectures for graphs with treewidth at most 3
On Glli s nd Hjós Conjetres for grphs with treewidth t most 3 rxi:1706.043341 [mth.co] 14 Jn 2017 F. Botler 1 M. Sminelli 2 R. S. Coelho 3 O. Lee 2 1 Fltd de Cienis Físis Mtemtis Uniersidd de Chile 2 Institto
More informationLinear Algebra Math 221
Linea Algeba Math Open Book Eam Open Notes Sept Calculatos Pemitted Sho all ok (ecept #). ( pts) Gien the sstem of equations a) ( pts) Epess this sstem as an augmented mati. b) ( pts) Bing this mati to
More informationMore from Lesson 6 The Limit Definition of the Derivative and Rules for Finding Derivatives.
Math 1314 ONLINE More from Lesson 6 The Limit Definition of the Derivative an Rules for Fining Derivatives Eample 4: Use the Four-Step Process for fining the erivative of the function Then fin f (1) f(
More information(x,y) 4. Calculus I: Differentiation
4. Calculus I: Differentiation 4. The eriatie of a function Suppose we are gien a cure with a point lying on it. If the cure is smooth at then we can fin a unique tangent to the cure at : If the tangent
More informationMath 1720 Final Exam Review 1
Math 70 Final Eam Review Remember that you are require to evaluate this class by going to evaluate.unt.eu an filling out the survey before minight May 8. It will only take between 5 an 0 minutes, epening
More informationOn the Reverse Problem of Fechnerian Scaling
On the Reverse Prolem of Fehnerian Saling Ehtiar N. Dzhafarov Astrat Fehnerian Saling imposes metris on two sets of stimuli relate to eah other y a isrimination funtion sujet to Regular Minimality. The
More informationRelated Rates. Introduction
Relate Rates Introuction We are familiar with a variet of mathematical or quantitative relationships, especiall geometric ones For eample, for the sies of a right triangle we have a 2 + b 2 = c 2 or the
More informationx f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.
Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?
More information2. Properties of Functions
2. PROPERTIES OF FUNCTIONS 111 2. Properties of Funtions 2.1. Injetions, Surjetions, an Bijetions. Definition 2.1.1. Given f : A B 1. f is one-to-one (short han is 1 1) or injetive if preimages are unique.
More informationSome Useful Results for Spherical and General Displacements
E 5 Fall 997 V. Kumar Some Useful Results for Spherial an General Displaements. Spherial Displaements.. Eulers heorem We have seen that a spherial isplaement or a pure rotation is esribe by a 3 3 rotation
More informationSUBJECT:ENGINEERING MATHEMATICS-I SUBJECT CODE :SMT1101 UNIT III FUNCTIONS OF SEVERAL VARIABLES. Jacobians
SUBJECT:ENGINEERING MATHEMATICS-I SUBJECT CODE :SMT0 UNIT III FUNCTIONS OF SEVERAL VARIABLES Jacobians Changing ariable is something e come across er oten in Integration There are man reasons or changing
More informationC6-1 Differentiation 2
C6-1 Differentiation 2 the erivatives of sin, cos, a, e an ln Pre-requisites: M5-4 (Raians), C5-7 (General Calculus) Estimate time: 2 hours Summary Lea-In Learn Solve Revise Answers Summary The erivative
More informationUnit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule
Unit # - Families of Functions, Taylor Polynomials, l Hopital s Rule Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Critical Points. Consier the function f) = 54 +. b) a) Fin
More informationECE Microwave Engineering
ECE 5317-6351 Mirowve Engineering Apte from notes Prof. Jeffer T. Willims Fll 18 Prof. Dvi R. Jkson Dept. of ECE Notes 1 Wveguiing Strutures Prt 5: Coil Cle 1 TEM Solution Proess A) Solve Lple s eqution
More information9.5 HONORS Determine Odd and Even Functions Graphically and Algebraically
9.5 HONORS Determine Odd and Even Functions Graphically and Algebraically Use this blank page to compile the most important things you want to remember for cycle 9.5: 181 Even and Odd Functions Even Functions:
More informationPyramidal Sum Labeling In Graphs
ISSN : 48-96, Vol 8, Issue 4, ( Part -I) April 8, pp-9 RESEARCH ARTICLE Pyramidal Sum Labeling In Graphs OPEN ACCESS HVelet Getzimah, D S T Ramesh ( department Of Mathematics, Pope s College, Sayerpuram-68,Ms
More informationLESSON 4: INTEGRATION BY PARTS (I) MATH FALL 2018
LESSON 4: INTEGRATION BY PARTS (I) MATH 6 FALL 8 ELLEN WELD. Integration by Parts We introduce another method for ealuating integrals called integration by parts. The key is the following : () u d = u
More informationDECOMPOSING 4-REGULAR GRAPHS INTO TRIANGLE-FREE 2-FACTORS
SIAMJ.DISCRETE MATH. c 1997 Society for Industrial and Applied Mathematics Vol. 10, No. 2, pp. 309 317, May 1997 011 DECOMPOSING 4-REGULAR GRAPHS INTO TRIANGLE-FREE 2-FACTORS EDWARD BERTRAM AND PETER HORÁK
More information3.3 The Chain Rule CHAPTER 3. RULES FOR DERIVATIVES 63
CHAPTER 3. RULES FOR DERIVATIVES 63 3.3 The Chain Rule Comments. The Chain Rule is the most interesting one we have learne so far, an it is one of the most complicate we will learn. It is one of the rules
More informationl. For adjacent fringes, m dsin m
Test 3 Pratie Problems Ch 4 Wave Nature of Light ) Double Slit A parallel beam of light from a He-Ne laser, with a wavelength of 656 nm, falls on two very narrow slits that are 0.050 mm apart. How far
More informationSection 2.6 Limits at infinity and infinite limits 2 Lectures. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I
Section 2.6 Limits at infinity and infinite its 2 Lectures College of Science MATHS 0: Calculus I (University of Bahrain) Infinite Limits / 29 Finite its as ±. 2 Horizontal Asympotes. 3 Infinite its. 4
More informationA Generalization of a result of Catlin: 2-factors in line graphs
AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 72(2) (2018), Pages 164 184 A Generalization of a result of Catlin: 2-factors in line graphs Ronald J. Gould Emory University Atlanta, Georgia U.S.A. rg@mathcs.emory.edu
More informationMath 1270 Honors Fall, 2008 Background Material on Uniform Convergence
Math 27 Honors Fall, 28 Background Material on Uniform Convergence Uniform convergence is discussed in Bartle and Sherbert s book Introduction to Real Analysis, which was the tet last year for 42 and 45.
More informationZero-Knowledge Protocols
he People Zero-Knowlege Protools 2 he wars Prover (Peggy) Claim I Verifier (Vi) S Seret Deision 2 {true, false} zero-knowlege protool allows Peggy to Convine Vi that her laim is true an that she knows
More informationSpanning Trees with Many Leaves in Graphs without Diamonds and Blossoms
Spanning Trees ith Many Leaes in Graphs ithot Diamonds and Blossoms Pal Bonsma Florian Zickfeld Technische Uniersität Berlin, Fachbereich Mathematik Str. des 7. Jni 36, 0623 Berlin, Germany {bonsma,zickfeld}@math.t-berlin.de
More informationEvolutionary Tree Reconstruction. Distance-based methods. Multiple Sequence Alignment. Distance-based methods. How distance matrices are obtained
Eoltionar ree Reconstrction ien obserations of similarities or differences beteen k species, find the hpothesis (tree) that best eplains the data ith respect to some criterion: Maimm parsimon (character
More informationContents. Learning Outcomes 2012/2/26. Lecture 6: Area Pattern and Spatial Autocorrelation. Dr. Bo Wu
01//6 LSGI 1: : GIS Spatial Applications Analysis Lecture 6: Lecture Area Pattern 1: Introduction and Spatial to GIS Autocorrelation Applications Contents Lecture 6: Area Pattern and Spatial Autocorrelation
More informationGeometry of Span (continued) The Plane Spanned by u and v
Geometric Description of Span Geometr of Span (contined) 2 Geometr of Span (contined) 2 Span {} Span {, } 2 Span {} 2 Geometr of Span (contined) 2 b + 2 The Plane Spanned b and If a plane is spanned b
More informationA Sketch of Menshikov s Theorem
A Sketch of Menshikov s Theorem Thomas Bao March 14, 2010 Abstract Let Λ be an infinite, locally finite oriente multi-graph with C Λ finite an strongly connecte, an let p
More informationBellman-F o r d s A lg o r i t h m The id ea: There is a shortest p ath f rom s to any other verte that d oes not contain a non-negative cy cle ( can
W Bellman Ford Algorithm This is an algorithm that solves the single source shortest p ath p rob lem ( sssp ( f ind s the d istances and shortest p aths f rom a source to all other nod es f or the case
More informationThe Explicit Form of a Function
Section 3 5 Implicit Differentiation The Eplicit Form of a Function Function Notation requires that we state a function with f () on one sie of an equation an an epression in terms of on the other sie
More information23 Implicit differentiation
23 Implicit ifferentiation 23.1 Statement The equation y = x 2 + 3x + 1 expresses a relationship between the quantities x an y. If a value of x is given, then a corresponing value of y is etermine. For
More informationReaction-Diusion Systems with. 1-Homogeneous Non-linearity. Matthias Buger. Mathematisches Institut der Justus-Liebig-Universitat Gieen
Reaction-Dision Systems ith 1-Homogeneos Non-linearity Matthias Bger Mathematisches Institt der Jsts-Liebig-Uniersitat Gieen Arndtstrae 2, D-35392 Gieen, Germany Abstract We describe the dynamics of a
More information(a 1 m. a n m = < a 1/N n
Notes on a an log a Mat 9 Fall 2004 Here is an approac to te eponential an logaritmic functions wic avois any use of integral calculus We use witout proof te eistence of certain limits an assume tat certain
More informationBoundary Layer Theory:
Mass Transfer Bondar Laer Theor: Mass and Heat/Momentm Transfer Letre,..7, Dr. K. Wegner 9. Basi Theories for Mass Transfer Coeffiients 9. Flid-Flid Interfaes (letre of 5..7) Flid-flid interfaes are tpiall
More informationMath Implicit Differentiation. We have discovered (and proved) formulas for finding derivatives of functions like
Math 400 3.5 Implicit Differentiation Name We have iscovere (an prove) formulas for fining erivatives of functions like f x x 3x 4x. 3 This amounts to fining y for 3 y x 3x 4x. Notice that in this case,
More informationA CHARACTRIZATION OF GRAPHS WITH 3-PATH COVERINGS AND THE EVALUATION OF THE MINIMUM 3-COVERING ENERGY OF A STAR GRAPH WITH M RAYS OF LENGTH 2
A CHARACTRIZATION OF GRAPHS WITH -PATH COVERINGS AND THE EVALUATION OF THE MINIMUM -COVERING ENERGY OF A STAR GRAPH WITH M RAYS OF LENGTH PAUL AUGUST WINTER DEPARTMENT OF MATHEMATICS, UNIVERSITY OF KWAZULU
More informationReview: Limits of Functions - 10/7/16
Review: Limits of Functions - 10/7/16 1 Right and Left Hand Limits Definition 1.0.1 We write lim a f() = L to mean that the function f() approaches L as approaches a from the left. We call this the left
More informationVectors and the Geometry of Space
Chapter 12 Vectors and the Geometr of Space Comments. What does multivariable mean in the name Multivariable Calculus? It means we stud functions that involve more than one variable in either the input
More informationStochastic Analysis of a Compound Redundant System Involving Human Failure
Journal of Matheatis an Statistis (3): 47-43, 6 ISSN 549-3644 6 Siene Publiations Stohasti nalysis of a Copoun Reunant Syste Involving uan Failure Ritu Gupta, S.. Mittal an 3 C. M. Batra,3 Departent of
More informationLesson 3: Free fall, Vectors, Motion in a plane (sections )
Lesson 3: Free fall, Vectors, Motion in a plane (sections.6-3.5) Last time we looked at position s. time and acceleration s. time graphs. Since the instantaneous elocit is lim t 0 t the (instantaneous)
More informationarxiv: v1 [math.gt] 2 Nov 2010
CONSTRUCTING UNIVERSAL ABELIAN COVERS OF GRAPH MANIFOLDS HELGE MØLLER PEDERSEN arxi:101105551 [mathgt] 2 No 2010 Abstract To a rational homology sphere graph manifold one can associate a weighted tree
More information27 ft 3 adequately describes the volume of a cube with side 3. ft F adequately describes the temperature of a person.
VECTORS The stud of ectors is closel related to the stud of such phsical properties as force, motion, elocit, and other related topics. Vectors allow us to model certain characteristics of these phenomena
More informationIN this paper we consider simple, finite, connected and
INTERNATIONAL JOURNAL OF MATHEMATICS AND SCIENTIFIC COMPUTING (ISSN: -5), VOL., NO., -Eqitable Labeling for Some Star and Bistar Related Graphs S.K. Vaidya and N.H. Shah Abstract In this paper we proe
More information4. (6 points) Express the domain of the following function in interval notation:
Eam 1-A L. Ballou Name Math 131 Calculus I September 1, 016 NO Calculator Allowed BOX YOUR ANSWER! Show all work for full credit! 1. (4 points) Write an equation of a line with y-intercept 4 and -intercept
More informationIn Leibniz notation, we write this rule as follows. DERIVATIVE OF A CONSTANT FUNCTION. For n 4 we find the derivative of f x x 4 as follows: lim
.1 DERIVATIVES OF POLYNOIALS AND EXPONENTIAL FUNCTIONS c =c slope=0 0 FIGURE 1 Te grap of ƒ=c is te line =c, so fª()=0. In tis section we learn ow to ifferentiate constant functions, power functions, polnomials,
More informationPseudo-Differential Operators Involving Fractional Fourier Cosine (Sine) Transform
ilomat 31:6 17, 1791 181 DOI 1.98/IL176791P Publishe b ault of Sienes an Mathematis, Universit of Niš, Serbia Available at: http://www.pmf.ni.a.rs/filomat Pseuo-Differential Operators Involving rational
More informationMaximum and Minimum Values
Maimum and Minimum Values y Maimum Minimum MATH 80 Lecture 4 of 6 Definitions: A function f has an absolute maimum at c if f ( c) f ( ) for all in D, where D is the domain of f. The number f (c) is called
More informationShannon decomposition
Shannon decomposition Claude Shannon mathematician / electrical engineer 96 William Sandqvist illiam@kth.se E 8.6 Sho ho a 4-to- multipleer can e used as a "function generator" for eample to generate the
More informationCh 21 Practice Problems [48 marks]
Ch 21 Practice Problems [4 marks] A dog food manufacturer has to cut production costs. She ishes to use as little aluminium as possible in the construction of cylindrical cans. In the folloing diagram,
More informationMathematical Review Problems
Fall 6 Louis Scuiero Mathematical Review Problems I. Polynomial Equations an Graphs (Barrante--Chap. ). First egree equation an graph y f() x mx b where m is the slope of the line an b is the line's intercept
More informationSupporting Information
Supporting Information Multiple-beam interferene enable broaban metamaterial wave plates Junhao Li, Huijie Guo, Tao Xu, 3 Lin Chen,, * Zhihong Hang, 3 Lei Zhou, an Shuqi Chen 4 Wuhan National Laborator
More informationPrimary dependent variable is fluid velocity vector V = V ( r ); where r is the position vector
Chapter 4: Flids Kinematics 4. Velocit and Description Methods Primar dependent ariable is flid elocit ector V V ( r ); where r is the position ector If V is known then pressre and forces can be determined
More informationThe Geometrodynamic Foundation of Electrodynamics
Jay R. Yablon, May 4, 16 The Geometroynamic Founation of Electroynamics 1. Introuction The equation of motion for a test particle along a geoesic line in cure spacetime as ν specifie by the metric interal
More information7.11 A proof involving composition Variation in terminology... 88
Contents Preface xi 1 Math review 1 1.1 Some sets............................. 1 1.2 Pairs of reals........................... 3 1.3 Exponentials and logs...................... 4 1.4 Some handy functions......................
More informationMid-Term Examination - Spring 2014 Mathematical Programming with Applications to Economics Total Score: 45; Time: 3 hours
Mi-Term Exmintion - Spring 0 Mthemtil Progrmming with Applitions to Eonomis Totl Sore: 5; Time: hours. Let G = (N, E) e irete grph. Define the inegree of vertex i N s the numer of eges tht re oming into
More informationmodel considered before, but the prey obey logistic growth in the absence of predators. In
5.2. First Orer Systems of Differential Equations. Phase Portraits an Linearity. Section Objective(s): Moifie Preator-Prey Moel. Graphical Representations of Solutions. Phase Portraits. Vector Fiels an
More informationπx 4πR and that of the entire sphere is therefore the mass
Answers to test yoursel questions Topi 9 9 imple harmoni motion They are not simple harmoni beause as shown in the textboo the restoring ore whereas opposite to, is not proportional to the isplaement away
More information1. Description of Finite Heat Release Function
ME 40 Day 27 Desription of Finite Heat elease Funtion - SI Engines Differential Equations to Moel Cyle Software Implementation in EES Questions that an be answere. Desription of Finite Heat elease Funtion
More informationECE Notes 4 Functions of a Complex Variable as Mappings. Fall 2017 David R. Jackson. Notes are adapted from D. R. Wilton, Dept.
ECE 638 Fall 017 Daid R. Jackson Notes 4 Fnctions of a Comple Variable as Mappings Notes are adapted from D. R. Wilton, Dept. of ECE 1 A Fnction of a Comple Variable as a Mapping A fnction of a comple
More informationCREOL, The College of Optics & Photonics, UCF. Anomalous Surface Plasmon Dispersion in Metallodielectric Multilayers
Anomalous Surface Plasmon Dispersion in Metalloielectric Multilayers Gray Webb-Woo an Pieter G. Kik CREOL, University of Central Floria, Orlano, FL SPIE San Diego Nanophotonics an Near-fiel Optics http://kik.creol.ucf.eu
More informationExercise sheet 6: Solutions
Eerise sheet 6: Solutions Cvet emptor: These re merel etended hints, rther thn omplete solutions. 1. If grph G hs hromti numer k > 1, prove tht its verte set n e prtitioned into two nonempt sets V 1 nd
More informationSolutions to Chapte 7: Channel Coding
to Chpte 7: Chnnel Coing (Bernr Sklr) Note: Stte igrm, tree igrm n trellis igrm for K=3 re sme only hnges will our in the output tht epens upon the onnetion vetor. Mnjunth. P (JNNCE) Coing Tehniques July
More informationarxiv: v1 [cs.dm] 6 Jun 2017
An Upper Bon of 7 n for the Minimm Size 6 2EC on Ci 3-Ege Connete rphs Philippe Leglt rxi:1706.016091 [s.dm] 6 Jn 2017 Shool of Eletril Engineering n Compter Siene (EECS), Uniersity of Ottw Ottw, Ontrio
More informationSlopes and Rates of Change
Slopes and Rates of Change If a particle is moving in a straight line at a constant velocity, then the graph of the function of distance versus time is as follows s s = f(t) t s s t t = average velocity
More informationLinear and quadratic approximation
Linear an quaratic approximation November 11, 2013 Definition: Suppose f is a function that is ifferentiable on an interval I containing the point a. The linear approximation to f at a is the linear function
More informationSection 3.1/3.2: Rules of Differentiation
: Rules of Differentiation Math 115 4 February 2018 Overview 1 2 Four Theorem for Derivatives Suppose c is a constant an f, g are ifferentiable functions. Then 1 2 3 4 x (c) = 0 x (x n ) = nx n 1 x [cf
More informationShannon decomposition
Shannon decomposition Claude Shannon mathematician / electrical engineer 96 William Sandqvist illiam@kth.se E 8.6 Sho ho a 4-to- multipleer can e used as a "function generator" for eample to generate the
More informationW + W - Z 0. Question. From Last Time. Fundamental Matter Particles. The Standard Model. Carriers of the weak force. Ice Cube
From Last Time Dissse the weak interation All qarks an leptons have a weak harge They interat throgh the weak interation Weak interation often swampe y eletromagneti or strong interation. Interation with
More informationChapter 9. There are 7 out of 50 measurements that are greater than or equal to 5.1; therefore, the fraction of the
Pratie questions 6 1 a y i = 6 µ = = 1 i = 1 y i µ i = 1 ( ) = 95 = s n 95 555. x i f i 1 1+ + 5+ n + 5 5 + n µ = = = f 11+ n 11+ n i 7 + n = 5 + n = 6n n = a Time (minutes) 1.6.1.6.1.6.1.6 5.1 5.6 6.1
More information