SlideShare a Scribd company logo
1 of 4
Set of problems
                                                       Maths for Economics and Business
                                                   Vilnius-Kaunas (Lithuania) 2009/2010




                    MATHEMATICS
             FOR ECONOMICS AND BUSINESS

                                 SET OF EXERCISES

                             Spring Semester 2010


                        Lecturer P_ U_E_ R _T _A _S, J. M_I_Q_U_E_L.




THE following set of problems is based on the book Ian Jacques “Mathematics
for Economics and Business” (5th Edition) Prentice Hall.

The set of problems has to be hand in to the Lecturer by 15 th of June (by mail) or
in a hard copy to the Academic Department. If you hand in the set of
problems, that is optional, you can get till 2 extra points that will be added to
the mark obtained at the final exam.

The completion of the set of exercises is optional but it may help the students to
improve their marks.

EVALUATION CRITERIA:



A) 0.5 points if the student hand in the exercises before the dead-.line. If the
student hand in the exercises after the dead-line he/she will not get any
additional point.

B)     1.5 points if there are not important mistakes in the answers.
       0.75 points if there are some important mistakes in the answers.
       0.25 points if there are many important mistakes.
       0 points if the student doesn’t hand in the exercises before or after the
       dead-line.

I wish you good luck!!
(1)Picture: “2+2 is 5” taken in Kaunas (on a wall besides “Blues & Orange” Baras ) in Kaunas old
town.. Lithuania. September 2009.



                                                                                               1
Set of problems
                                                         Maths for Economics and Business
                                                     Vilnius-Kaunas (Lithuania) 2009/2010



1rst. Exercise: Check section 2.1 Quadratic functions.

Use “the formula” to solve the following quadratic equations (Round your answers to 2 decimal
places).The “formula” to solve quadratic equations is




    a)
    b)
    c)
    d)
    e)


2ond. Exercise: Check Section 2.1: Quadratic functions. Page 126

Given the supply and demand functions

         +18    +14
               8 +120

calculate the equilibrium price and quantity


3rd. Exercise: Check section 4.3: Marginal function.

If the production function is

Where Q denotes output and L denotes the size of the workforce, calculate the value of MPL
(marginal product of labour) when

    a)   L=1
    b)   L=10
    c)   L=100
    d)   L=2000


4th. Exercise: Check section 2.2 Revenue cost and profit.

If fixed costs are 6, variable costs per unit are 2 and demand function is



Obtain an expression of ∏ (profit) in terms of Q and hence sketch a graph of ∏ against Q.

    a) For what values 0f Q does the firm break even?
    b) What is the maximum profit?




                                                                                            2
Set of problems
                                                        Maths for Economics and Business
                                                    Vilnius-Kaunas (Lithuania) 2009/2010



5th Exercise: Check Section 4.2: Rules of differentiation

Differentiate

      a)
      b)
      c)
      d)
      e)
      f)

6 th. Exercise: Check the section 7. Basic matrix operations Page 465-467


Let




Find (where possible)

      a)   AB
      b)   BA
      c)   CD
      d)   DC
      e)   AC
      f)   CA


7 th. Exercise: Check section 7.2: Matrix inversion (page 475)

The equilibrium price P1 and P2 for two goods satisfy the equations




Express this system in matrix form and hence find the values of   and




                                                                                          3
Set of problems
                                                       Maths for Economics and Business
                                                   Vilnius-Kaunas (Lithuania) 2009/2010


8th exercise: Check section 5.6: Lagrange multipliers. Page 412

Use Lagrange multipliers to find the optimal value of



Subject to the constraint



9 th. Exercise: Check section 7.3: Cramer’s rule. Page 493

Solve the system of equations


                      =


Using Cramer’s rule to find


10th Exercise: Check section 5.2: Partial elasticity and marginal functions. Page 360.

Given the utility function




Determine the value of the marginal utilities


         and


When                            =300.     Hence estimate the change in utility when
decreases
from 200 to 199 and             increases from 300 to 301.




                                                                                          4

More Related Content

What's hot

Linear programming graphical method
Linear programming graphical methodLinear programming graphical method
Linear programming graphical methodDr. Abdulfatah Salem
 
Mb 106 quantitative techniques 7
Mb 106 quantitative techniques 7Mb 106 quantitative techniques 7
Mb 106 quantitative techniques 7KrishnaRoy45
 
Mcqs linear prog
Mcqs linear progMcqs linear prog
Mcqs linear progHanna Elise
 
Spring 2003
Spring 2003Spring 2003
Spring 2003butest
 
Mc0079 computer based optimization methods(statistics applied or)–-2012
Mc0079 computer based optimization methods(statistics  applied or)–-2012Mc0079 computer based optimization methods(statistics  applied or)–-2012
Mc0079 computer based optimization methods(statistics applied or)–-2012rite2project
 
Simplex method (maximization)
Simplex method (maximization)Simplex method (maximization)
Simplex method (maximization)Kamel Attar
 
Neuro -fuzzy-networks-for-identification-of-mathematical-model-parameters-of-...
Neuro -fuzzy-networks-for-identification-of-mathematical-model-parameters-of-...Neuro -fuzzy-networks-for-identification-of-mathematical-model-parameters-of-...
Neuro -fuzzy-networks-for-identification-of-mathematical-model-parameters-of-...Cemal Ardil
 
Linear programming
Linear programmingLinear programming
Linear programmingTarun Gehlot
 
Linear Programming (graphical method)
Linear Programming (graphical method)Linear Programming (graphical method)
Linear Programming (graphical method)Kamel Attar
 
0581 w09 qp_21
0581 w09 qp_210581 w09 qp_21
0581 w09 qp_21King Ali
 
Linear programming problems
Linear programming problemsLinear programming problems
Linear programming problemsHanna Elise
 
Comparative analysis-of-dynamic-and-greedy-approaches-for-dynamic-programming
Comparative analysis-of-dynamic-and-greedy-approaches-for-dynamic-programmingComparative analysis-of-dynamic-and-greedy-approaches-for-dynamic-programming
Comparative analysis-of-dynamic-and-greedy-approaches-for-dynamic-programmingEditor IJMTER
 
Duality in Linear Programming
Duality in Linear ProgrammingDuality in Linear Programming
Duality in Linear Programmingjyothimonc
 
INTRODUCTION TO CIRCUIT THEORY (A PRACTICAL APPROACH)
INTRODUCTION TO CIRCUIT THEORY (A PRACTICAL APPROACH)INTRODUCTION TO CIRCUIT THEORY (A PRACTICAL APPROACH)
INTRODUCTION TO CIRCUIT THEORY (A PRACTICAL APPROACH)ENGR. KADIRI K. O. Ph.D
 
Dynamic programming1
Dynamic programming1Dynamic programming1
Dynamic programming1debolina13
 

What's hot (20)

Linear programming graphical method
Linear programming graphical methodLinear programming graphical method
Linear programming graphical method
 
Mb 106 quantitative techniques 7
Mb 106 quantitative techniques 7Mb 106 quantitative techniques 7
Mb 106 quantitative techniques 7
 
Mcqs linear prog
Mcqs linear progMcqs linear prog
Mcqs linear prog
 
Spring 2003
Spring 2003Spring 2003
Spring 2003
 
Mc0079 computer based optimization methods(statistics applied or)–-2012
Mc0079 computer based optimization methods(statistics  applied or)–-2012Mc0079 computer based optimization methods(statistics  applied or)–-2012
Mc0079 computer based optimization methods(statistics applied or)–-2012
 
Simplex method (maximization)
Simplex method (maximization)Simplex method (maximization)
Simplex method (maximization)
 
Neuro -fuzzy-networks-for-identification-of-mathematical-model-parameters-of-...
Neuro -fuzzy-networks-for-identification-of-mathematical-model-parameters-of-...Neuro -fuzzy-networks-for-identification-of-mathematical-model-parameters-of-...
Neuro -fuzzy-networks-for-identification-of-mathematical-model-parameters-of-...
 
Linear programming
Linear programmingLinear programming
Linear programming
 
Graphical method
Graphical methodGraphical method
Graphical method
 
Linear Programming (graphical method)
Linear Programming (graphical method)Linear Programming (graphical method)
Linear Programming (graphical method)
 
0581 w09 qp_21
0581 w09 qp_210581 w09 qp_21
0581 w09 qp_21
 
Linear programming problems
Linear programming problemsLinear programming problems
Linear programming problems
 
Comparative analysis-of-dynamic-and-greedy-approaches-for-dynamic-programming
Comparative analysis-of-dynamic-and-greedy-approaches-for-dynamic-programmingComparative analysis-of-dynamic-and-greedy-approaches-for-dynamic-programming
Comparative analysis-of-dynamic-and-greedy-approaches-for-dynamic-programming
 
D05511625
D05511625D05511625
D05511625
 
EE gate-2016-set-1
EE gate-2016-set-1EE gate-2016-set-1
EE gate-2016-set-1
 
Ees 300
Ees 300Ees 300
Ees 300
 
Duality in Linear Programming
Duality in Linear ProgrammingDuality in Linear Programming
Duality in Linear Programming
 
Question bank digital electronics
Question bank digital electronicsQuestion bank digital electronics
Question bank digital electronics
 
INTRODUCTION TO CIRCUIT THEORY (A PRACTICAL APPROACH)
INTRODUCTION TO CIRCUIT THEORY (A PRACTICAL APPROACH)INTRODUCTION TO CIRCUIT THEORY (A PRACTICAL APPROACH)
INTRODUCTION TO CIRCUIT THEORY (A PRACTICAL APPROACH)
 
Dynamic programming1
Dynamic programming1Dynamic programming1
Dynamic programming1
 

Similar to Maths set of exercises spring 2010

IRJET- Solving Quadratic Equations using C++ Application Program
IRJET-  	  Solving Quadratic Equations using C++ Application ProgramIRJET-  	  Solving Quadratic Equations using C++ Application Program
IRJET- Solving Quadratic Equations using C++ Application ProgramIRJET Journal
 
Bca1040 digital logic
Bca1040   digital logicBca1040   digital logic
Bca1040 digital logicsmumbahelp
 
Problem 1 – First-Order Predicate Calculus (15 points)
Problem 1 – First-Order Predicate Calculus (15 points)Problem 1 – First-Order Predicate Calculus (15 points)
Problem 1 – First-Order Predicate Calculus (15 points)butest
 
Mb0048 operations research
Mb0048  operations researchMb0048  operations research
Mb0048 operations researchsmumbahelp
 
Mb0048 operations research
Mb0048  operations researchMb0048  operations research
Mb0048 operations researchsmumbahelp
 
ECE 2103_L6 Boolean Algebra Canonical Forms.pptx
ECE 2103_L6 Boolean Algebra Canonical Forms.pptxECE 2103_L6 Boolean Algebra Canonical Forms.pptx
ECE 2103_L6 Boolean Algebra Canonical Forms.pptxMdJubayerFaisalEmon
 
Module 2 logic gates
Module 2  logic gatesModule 2  logic gates
Module 2 logic gatesDeepak John
 
Simultaneous Equations Practical Construction
Simultaneous Equations Practical ConstructionSimultaneous Equations Practical Construction
Simultaneous Equations Practical ConstructionDaniel Ross
 
Multivariate Analysis of Cauchy’s Inequality
Multivariate Analysis of Cauchy’s InequalityMultivariate Analysis of Cauchy’s Inequality
Multivariate Analysis of Cauchy’s InequalityIRJET Journal
 
AS Supporting Teaching and Learning of Linear Algebra
AS Supporting Teaching and Learning of Linear AlgebraAS Supporting Teaching and Learning of Linear Algebra
AS Supporting Teaching and Learning of Linear AlgebraIGMKD
 
Bca1040 digital logic
Bca1040   digital logicBca1040   digital logic
Bca1040 digital logicsmumbahelp
 
NEW APPROACH FOR SOLVING FUZZY TRIANGULAR ASSIGNMENT BY ROW MINIMA METHOD
NEW APPROACH FOR SOLVING FUZZY TRIANGULAR ASSIGNMENT BY ROW MINIMA METHODNEW APPROACH FOR SOLVING FUZZY TRIANGULAR ASSIGNMENT BY ROW MINIMA METHOD
NEW APPROACH FOR SOLVING FUZZY TRIANGULAR ASSIGNMENT BY ROW MINIMA METHODIAEME Publication
 
Lecture No. 21-Permutations and Combinations.pptx
Lecture No. 21-Permutations and Combinations.pptxLecture No. 21-Permutations and Combinations.pptx
Lecture No. 21-Permutations and Combinations.pptxTakshakNo
 
This quiz is open book and open notes/tutorialoutlet
This quiz is open book and open notes/tutorialoutletThis quiz is open book and open notes/tutorialoutlet
This quiz is open book and open notes/tutorialoutletBeardmore
 
Smu bca sem 1 winter 2014 assignments
Smu bca sem 1 winter 2014 assignmentsSmu bca sem 1 winter 2014 assignments
Smu bca sem 1 winter 2014 assignmentssmumbahelp
 

Similar to Maths set of exercises spring 2010 (20)

Mb0048 operations research
Mb0048 operations researchMb0048 operations research
Mb0048 operations research
 
IRJET- Solving Quadratic Equations using C++ Application Program
IRJET-  	  Solving Quadratic Equations using C++ Application ProgramIRJET-  	  Solving Quadratic Equations using C++ Application Program
IRJET- Solving Quadratic Equations using C++ Application Program
 
Bca1040 digital logic
Bca1040   digital logicBca1040   digital logic
Bca1040 digital logic
 
Problem 1 – First-Order Predicate Calculus (15 points)
Problem 1 – First-Order Predicate Calculus (15 points)Problem 1 – First-Order Predicate Calculus (15 points)
Problem 1 – First-Order Predicate Calculus (15 points)
 
Mb0048 operations research
Mb0048  operations researchMb0048  operations research
Mb0048 operations research
 
Mb0048 operations research
Mb0048  operations researchMb0048  operations research
Mb0048 operations research
 
ECE 2103_L6 Boolean Algebra Canonical Forms.pptx
ECE 2103_L6 Boolean Algebra Canonical Forms.pptxECE 2103_L6 Boolean Algebra Canonical Forms.pptx
ECE 2103_L6 Boolean Algebra Canonical Forms.pptx
 
Module 2 logic gates
Module 2  logic gatesModule 2  logic gates
Module 2 logic gates
 
Mechanical Engineering Homework Help
Mechanical Engineering Homework HelpMechanical Engineering Homework Help
Mechanical Engineering Homework Help
 
Simultaneous Equations Practical Construction
Simultaneous Equations Practical ConstructionSimultaneous Equations Practical Construction
Simultaneous Equations Practical Construction
 
Multivariate Analysis of Cauchy’s Inequality
Multivariate Analysis of Cauchy’s InequalityMultivariate Analysis of Cauchy’s Inequality
Multivariate Analysis of Cauchy’s Inequality
 
AS Supporting Teaching and Learning of Linear Algebra
AS Supporting Teaching and Learning of Linear AlgebraAS Supporting Teaching and Learning of Linear Algebra
AS Supporting Teaching and Learning of Linear Algebra
 
Bca1040 digital logic
Bca1040   digital logicBca1040   digital logic
Bca1040 digital logic
 
NEW APPROACH FOR SOLVING FUZZY TRIANGULAR ASSIGNMENT BY ROW MINIMA METHOD
NEW APPROACH FOR SOLVING FUZZY TRIANGULAR ASSIGNMENT BY ROW MINIMA METHODNEW APPROACH FOR SOLVING FUZZY TRIANGULAR ASSIGNMENT BY ROW MINIMA METHOD
NEW APPROACH FOR SOLVING FUZZY TRIANGULAR ASSIGNMENT BY ROW MINIMA METHOD
 
Midterm
MidtermMidterm
Midterm
 
Lecture No. 21-Permutations and Combinations.pptx
Lecture No. 21-Permutations and Combinations.pptxLecture No. 21-Permutations and Combinations.pptx
Lecture No. 21-Permutations and Combinations.pptx
 
Cuaderno de trabajo 8º basico i semestre
Cuaderno de trabajo 8º basico i semestreCuaderno de trabajo 8º basico i semestre
Cuaderno de trabajo 8º basico i semestre
 
This quiz is open book and open notes/tutorialoutlet
This quiz is open book and open notes/tutorialoutletThis quiz is open book and open notes/tutorialoutlet
This quiz is open book and open notes/tutorialoutlet
 
Support Vector Machines
Support Vector MachinesSupport Vector Machines
Support Vector Machines
 
Smu bca sem 1 winter 2014 assignments
Smu bca sem 1 winter 2014 assignmentsSmu bca sem 1 winter 2014 assignments
Smu bca sem 1 winter 2014 assignments
 

More from Donetsk National Technical University

The MI6 behind the Paris massacre? ¿El MI6 detrás de la masacre de París?
The MI6 behind the Paris massacre?  ¿El MI6 detrás de la masacre de París?The MI6 behind the Paris massacre?  ¿El MI6 detrás de la masacre de París?
The MI6 behind the Paris massacre? ¿El MI6 detrás de la masacre de París?Donetsk National Technical University
 
Monologues about love, ham and wine. Information. Newspaper Valscius. page 12.
Monologues about love, ham and wine. Information. Newspaper Valscius. page 12. Monologues about love, ham and wine. Information. Newspaper Valscius. page 12.
Monologues about love, ham and wine. Information. Newspaper Valscius. page 12. Donetsk National Technical University
 

More from Donetsk National Technical University (20)

Barcelona Kaunas Donetsk. Lithuanian language
Barcelona Kaunas Donetsk. Lithuanian languageBarcelona Kaunas Donetsk. Lithuanian language
Barcelona Kaunas Donetsk. Lithuanian language
 
Barcelona Kaunas Donetsk (Russian language)
Barcelona Kaunas Donetsk (Russian language)Barcelona Kaunas Donetsk (Russian language)
Barcelona Kaunas Donetsk (Russian language)
 
Le Monde Diplomatique. Le Donbass apprend a vivre sans Kiev.
Le Monde Diplomatique. Le Donbass apprend a vivre sans Kiev.Le Monde Diplomatique. Le Donbass apprend a vivre sans Kiev.
Le Monde Diplomatique. Le Donbass apprend a vivre sans Kiev.
 
master gestio publica diplomaPDF
master gestio publica diplomaPDFmaster gestio publica diplomaPDF
master gestio publica diplomaPDF
 
The MI6 behind the Paris massacre? ¿El MI6 detrás de la masacre de París?
The MI6 behind the Paris massacre?  ¿El MI6 detrás de la masacre de París?The MI6 behind the Paris massacre?  ¿El MI6 detrás de la masacre de París?
The MI6 behind the Paris massacre? ¿El MI6 detrás de la masacre de París?
 
KARŠTA ISPANŲ VASARA ŠAKIUOSE Ispanų kalba ir kultūra
KARŠTA ISPANŲ VASARA ŠAKIUOSE 		Ispanų kalba ir kultūraKARŠTA ISPANŲ VASARA ŠAKIUOSE 		Ispanų kalba ir kultūra
KARŠTA ISPANŲ VASARA ŠAKIUOSE Ispanų kalba ir kultūra
 
Monologues about love, ham and wine. Information. Newspaper Valscius. page 12.
Monologues about love, ham and wine. Information. Newspaper Valscius. page 12. Monologues about love, ham and wine. Information. Newspaper Valscius. page 12.
Monologues about love, ham and wine. Information. Newspaper Valscius. page 12.
 
Monologos del amor, el jamon y el vino. Kaunas 2013 1 24
Monologos del amor, el jamon y el vino. Kaunas 2013 1  24Monologos del amor, el jamon y el vino. Kaunas 2013 1  24
Monologos del amor, el jamon y el vino. Kaunas 2013 1 24
 
Cartel Monologos del amor, el jamon y el vino
Cartel Monologos del amor, el jamon y el vinoCartel Monologos del amor, el jamon y el vino
Cartel Monologos del amor, el jamon y el vino
 
Cartelbuenomonolosgob odefinitivopdf
Cartelbuenomonolosgob odefinitivopdfCartelbuenomonolosgob odefinitivopdf
Cartelbuenomonolosgob odefinitivopdf
 
Scary hallowe nbo
Scary hallowe nboScary hallowe nbo
Scary hallowe nbo
 
Ekd%20skelbimas%202012[1]
Ekd%20skelbimas%202012[1]Ekd%20skelbimas%202012[1]
Ekd%20skelbimas%202012[1]
 
Deixa seduir pel catala
Deixa seduir pel catalaDeixa seduir pel catala
Deixa seduir pel catala
 
Ispanu Kulturos Savaite Kaune
Ispanu Kulturos Savaite KauneIspanu Kulturos Savaite Kaune
Ispanu Kulturos Savaite Kaune
 
Spanishprograma%20lietuviskai[1]
Spanishprograma%20lietuviskai[1]Spanishprograma%20lietuviskai[1]
Spanishprograma%20lietuviskai[1]
 
Un perro andaluz movie
Un perro andaluz movieUn perro andaluz movie
Un perro andaluz movie
 
Ejercicio /Exercise: Un perro andaluz
Ejercicio /Exercise: Un perro andaluz Ejercicio /Exercise: Un perro andaluz
Ejercicio /Exercise: Un perro andaluz
 
La negra tomasa ejercicio y cancion
La negra tomasa ejercicio y cancionLa negra tomasa ejercicio y cancion
La negra tomasa ejercicio y cancion
 
Smk maths schedule spring semester 2010final
Smk maths schedule spring semester 2010finalSmk maths schedule spring semester 2010final
Smk maths schedule spring semester 2010final
 
Smk maths schedule spring semester 2010final
Smk maths schedule spring semester 2010finalSmk maths schedule spring semester 2010final
Smk maths schedule spring semester 2010final
 

Recently uploaded

Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...panagenda
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...AliaaTarek5
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditSkynet Technologies
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 

Recently uploaded (20)

Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
(How to Program) Paul Deitel, Harvey Deitel-Java How to Program, Early Object...
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance Audit
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 

Maths set of exercises spring 2010

  • 1. Set of problems Maths for Economics and Business Vilnius-Kaunas (Lithuania) 2009/2010 MATHEMATICS FOR ECONOMICS AND BUSINESS SET OF EXERCISES Spring Semester 2010 Lecturer P_ U_E_ R _T _A _S, J. M_I_Q_U_E_L. THE following set of problems is based on the book Ian Jacques “Mathematics for Economics and Business” (5th Edition) Prentice Hall. The set of problems has to be hand in to the Lecturer by 15 th of June (by mail) or in a hard copy to the Academic Department. If you hand in the set of problems, that is optional, you can get till 2 extra points that will be added to the mark obtained at the final exam. The completion of the set of exercises is optional but it may help the students to improve their marks. EVALUATION CRITERIA: A) 0.5 points if the student hand in the exercises before the dead-.line. If the student hand in the exercises after the dead-line he/she will not get any additional point. B) 1.5 points if there are not important mistakes in the answers. 0.75 points if there are some important mistakes in the answers. 0.25 points if there are many important mistakes. 0 points if the student doesn’t hand in the exercises before or after the dead-line. I wish you good luck!! (1)Picture: “2+2 is 5” taken in Kaunas (on a wall besides “Blues & Orange” Baras ) in Kaunas old town.. Lithuania. September 2009. 1
  • 2. Set of problems Maths for Economics and Business Vilnius-Kaunas (Lithuania) 2009/2010 1rst. Exercise: Check section 2.1 Quadratic functions. Use “the formula” to solve the following quadratic equations (Round your answers to 2 decimal places).The “formula” to solve quadratic equations is a) b) c) d) e) 2ond. Exercise: Check Section 2.1: Quadratic functions. Page 126 Given the supply and demand functions +18 +14 8 +120 calculate the equilibrium price and quantity 3rd. Exercise: Check section 4.3: Marginal function. If the production function is Where Q denotes output and L denotes the size of the workforce, calculate the value of MPL (marginal product of labour) when a) L=1 b) L=10 c) L=100 d) L=2000 4th. Exercise: Check section 2.2 Revenue cost and profit. If fixed costs are 6, variable costs per unit are 2 and demand function is Obtain an expression of ∏ (profit) in terms of Q and hence sketch a graph of ∏ against Q. a) For what values 0f Q does the firm break even? b) What is the maximum profit? 2
  • 3. Set of problems Maths for Economics and Business Vilnius-Kaunas (Lithuania) 2009/2010 5th Exercise: Check Section 4.2: Rules of differentiation Differentiate a) b) c) d) e) f) 6 th. Exercise: Check the section 7. Basic matrix operations Page 465-467 Let Find (where possible) a) AB b) BA c) CD d) DC e) AC f) CA 7 th. Exercise: Check section 7.2: Matrix inversion (page 475) The equilibrium price P1 and P2 for two goods satisfy the equations Express this system in matrix form and hence find the values of and 3
  • 4. Set of problems Maths for Economics and Business Vilnius-Kaunas (Lithuania) 2009/2010 8th exercise: Check section 5.6: Lagrange multipliers. Page 412 Use Lagrange multipliers to find the optimal value of Subject to the constraint 9 th. Exercise: Check section 7.3: Cramer’s rule. Page 493 Solve the system of equations = Using Cramer’s rule to find 10th Exercise: Check section 5.2: Partial elasticity and marginal functions. Page 360. Given the utility function Determine the value of the marginal utilities and When =300. Hence estimate the change in utility when decreases from 200 to 199 and increases from 300 to 301. 4