SlideShare a Scribd company logo
1
Solutionof Systemof LinearEquations
2
Tableof Contents:
Outline……………………………………………………………………………………………
Introduction…………………………………………………………………………………..
Literature Review…………………………………………………………………………..
Work………………………………………………………………………………………………
Conclusion……………………………………………………………………………………..
3
Outline:
 Introduction
 Literature Review
 Work
 Conclusion
4
Solution of System of Linear Equations
Introduction:
In everyday life, wedeal with the differentphysicalsituations that can be
modelled by different systemof linear equations. Linear equations have many
more applications in everyday life. Linear equations are used in Linear equations
can have one or more variables. Linear equations occur abundantly in most
subareas of mathematics and especially in applied mathematics. While they arise
quite naturally when modeling many phenomena, they are particularly useful
since many non-linear equations may be reduced to linear equations by assuming
that quantities of interest vary to only a small extent fromsome"background"
state. Linear equations do not include exponents. Linear equations are very
important and are widely used in our daily life. In our daily life, textiles, education,
computing, softwaredeveloping etc , mathematics and linear equations are used
everywhere. Wecan solve the systemof linear equations using software
“Mathematica”. Details of the title is given below:
LinearEquation:
A linear equation has the form
a1x1 +a2x2 +…+anxn =K
where“a”” is a real number, “x” is a variable and “k” is a constant.
In a linear equation, each variable has an exponent of exactly 1.
Examples are
2x +3y= = 12
3x + 4y =5
Reference : Mary Jane Sterling, ”Linear Algebra For Dummies”, 2009 by Willey
Publishing
A linear equation in variables x1 ,…, xn is an equation of the form
a1x1 +…+ anxn = b
5
Where a1,…,an and b are real or complex numbers. The numbers a1, a2,…,an are
the coefficients of the equation and b is the constant form.
Examples are
9x +4y =6
2x + 7y = 4
Reference : Fred Szabo, “Linear Algebra, An Introduction using Mathematica”
,2000 by Academic Press.
LinearSystemof equation:
A finite set of linear equations is called a systemof linear equations or linear
system.
Here is a systemof linear equations
3x + 4y +5z =15
5x + 13y = 6
4y + 6z = 12
Has a solution {𝑥 →
218
1239
, 𝑦 → −
38
413
, 𝑧 →
978
413
}
Reference : S.K.Kate, “ Engineering Mathematics-I” , 2009 by Technical
Publications.
Solution of system of Equations:
A solution of systemof equations is n unknowns is an ordered set of n numbers
that when substituted for unknowns makeall the equations of the systemtrue.
6x + y +5z =5
5x + 6z = 6
y + 5z = 2
has a solution {𝑥 → −
10
409
, 𝑦 → −
12
409
, 𝑧 →
178
409
}
Reference : Patricia Clark Kenschaft, “ Linear Mathematics: A Practical Approach”
6
Mathematica:
Mathematica is a computational softwareprogramused in
many scientific, engineering, mathematical and computing fields, based on
symbolic mathematics. Itwas conceived by Stephen Wolframand is developed by
WolframResearch of Champaign, Illinois. The WolframLanguageis the
programming languageused in Mathematica.
History:
Mathematica is the world's mostpowerfulglobal computation system. First
released in 1988, it has had a profound effect on the way computers are used in
technical and other fields. In 2008, following a dramatic reinvention in 2007,
Mathematica continued the momentum of innovation by bringing major new
application areas into its integrated framework.
Itis often said that the release of Mathematica marked the beginning of modern
technical computing. Ever sincethe 1960s individualpackages had existed for
specific numerical, algebraic, graphical, and other tasks. But the visionary concept
of Mathematica was to create once and for all a single systemthat could handle
all the various aspects of technical computing--and beyond--in a coherent and
unified way. The key intellectual advancethat made this possiblewas the
invention of a new kind of symbolic computer language that could, for the first
time, manipulate the very wide rangeof objects needed to achieve the generality
required for technical computing, using only a fairly small number of basic
primitives.
Features
 Elementary and Special mathematical function libraries
 Matrix and data manipulation tools including supportfor sparsearrays
 Supportfor complex number, arbitrary precision, intervalarithmetic and
symbolic computation
 2D and 3D data, function and geo visualization and animation tools
 Solvers for systems of equations, diophantine equations, ODEs, PDEs, DAEs,
DDEs, SDEs and recurrencerelations
 Numeric and symbolic tools for discrete and continuous calculus
7
 Multivariate statistics libraries including fitting, hypothesis testing, and
probability and expectation calculations on over 140 distributions.
 Supportfor censored data, temporal data, time-series and unit based data
 Calculations and simulations on randomprocesses and queues
 Tools for visualizing and analysing directed and undirected graphs Number
theory function library Linear and non-linear Control systems librarieS
Reference: Wolfram, Stephen Mathematica Turns 20 Today, Wolfram, retrieved
16 May 2012
Literature Review:
A literature review on severalexisting linear regression equations for correlating
water activity (aw) and refractometric moisturecontent in floral honeys was
performed in order to providea weighted average regression equation. For this
purpose, a metal analysis of the literature linear equations was made which takes
into account the number of data points as well as the precision involved in the
different literature studies. The weighted average linear regression equation is a
general linear relationship to calculate the honey water activity on the basis of
the honey moisturecontent Itwas obtained fromcomparing and combining the
results of ten independent studies involving 638 observations and including
honeys fromArgentina, Colombia, Spain, Germany, Czech Republic, China,
México, Cuba, Brazil, El Salvador, India and Vietnam. Itwas also found the
proposed equation describes satisfactorily the water activity of concentrated (and
supersaturated) glucose/ fructose solutions, which would confirmthat these
sugars arethe main determinants of water activity in honey.
Work:
Mathematica can solvesystems of linear equations. To solvethe equations
x + y + z = 0, x + 2y + 3z = 1, and x – y + z = 2, we can use the Mathematica
function solve. To do this, make an equation of the list of the left hand sides of
the equations and the list of right hand sides as follows:
8
x+y+z2 y+3 zx-y+z2
Solve[x+y+z2 y+3 zx-y+z2,{x,y,z}]
{{x4/3,y0,z2/3}}
x y z 0
x 2y 3z 1
x y z 2
x y z 0 x 2 y 3 z 1 x y z 2

More Related Content

PPTX
Matrix and It's Applications
PDF
Numerical Solutions of Burgers' Equation Project Report
PPTX
Triangularization method
PDF
Rankmatrix
PPT
Matrix basic operations
PPTX
Lesson 3 - matrix multiplication
PPTX
Project business maths
PPTX
Applications of linear algebra
Matrix and It's Applications
Numerical Solutions of Burgers' Equation Project Report
Triangularization method
Rankmatrix
Matrix basic operations
Lesson 3 - matrix multiplication
Project business maths
Applications of linear algebra

What's hot (20)

PPT
Lesson 1 matrix
PDF
Ou3425912596
PDF
Matrix algebra
PPT
Matrices
PPT
Introduction to Matrices
PPTX
Applications of algebra and calculus
PPTX
Matrices y determinants
PDF
Introduction of matrices
PPTX
System of Linear inequalities in two variables
PPT
Matrix and its operation (addition, subtraction, multiplication)
PPTX
Matrices and determinants
DOCX
Notes of Matrices and Determinants
PPTX
Matrix inverse
PPT
Matrix Algebra : Mathematics for Business
PDF
Comparative Analysis of Different Numerical Methods of Solving First Order Di...
PPTX
Linear inequalities in two variables
PPTX
PDF
PPTX
Lesson 4a - permutation matrices
PPTX
Determinants
Lesson 1 matrix
Ou3425912596
Matrix algebra
Matrices
Introduction to Matrices
Applications of algebra and calculus
Matrices y determinants
Introduction of matrices
System of Linear inequalities in two variables
Matrix and its operation (addition, subtraction, multiplication)
Matrices and determinants
Notes of Matrices and Determinants
Matrix inverse
Matrix Algebra : Mathematics for Business
Comparative Analysis of Different Numerical Methods of Solving First Order Di...
Linear inequalities in two variables
Lesson 4a - permutation matrices
Determinants
Ad

Viewers also liked (17)

PDF
CV SATRYO NP
PPTX
CALMAT - BUS 523 Strategic Management Group Presentation
PPT
Spontaneous Speech
KEY
Importance of Developers to HE in the UK
DOCX
Cómo es tu día activo
PPTX
Weekly Updates 9
PPT
Plantilla omar
PPTX
PPTX
Ie biz school: Anthony Kamau
PDF
B - Happy. A happy hour of 4G
PPTX
ΠΑΡΚΟ ΚΥΚΛΟΦΟΡΙΑΚΗΣ ΑΓΩΓΗΣ
PDF
Pc Gaming Rakitan AMD, 085643699889
PDF
VIVE PARA QUE TE EXTRAÑEN
PPT
Growth and development nasomaxillary complex ppt/certified fixed orthodontic ...
PDF
φύλλα εργασίας
KEY
Essay structure
PPSX
2 Sistema ABO
CV SATRYO NP
CALMAT - BUS 523 Strategic Management Group Presentation
Spontaneous Speech
Importance of Developers to HE in the UK
Cómo es tu día activo
Weekly Updates 9
Plantilla omar
Ie biz school: Anthony Kamau
B - Happy. A happy hour of 4G
ΠΑΡΚΟ ΚΥΚΛΟΦΟΡΙΑΚΗΣ ΑΓΩΓΗΣ
Pc Gaming Rakitan AMD, 085643699889
VIVE PARA QUE TE EXTRAÑEN
Growth and development nasomaxillary complex ppt/certified fixed orthodontic ...
φύλλα εργασίας
Essay structure
2 Sistema ABO
Ad

Similar to Soution of Linear Equations (20)

PDF
Ebook mst209 block3_e1i1_n9780749252830_l1 (2)
PDF
Numerical solutions of linear algebraic systems using matlab
PDF
Linear algebra havard university
PDF
3016 all-2007-dist
PDF
Deturck wilf
PPTX
Presentation Linear Algebra.pptx easy pp
PDF
Polynomials in scilab
PDF
Numerical Methods in Engineering with MATLAB - Jaan Kiusalaas.pdf
PDF
A first course in linear algebra robert a. beezer university of puget sound v...
PDF
DOCX
M Jamee Raza (BSE-23S-056)LA project.docx
PDF
mathematics
PDF
matrices-1.pdf
PPTX
Linear equations in two variables
PDF
Using Mathematica for computational learning
PPTX
Chapter 1 MATHEMATICAL MODELLING AND ERROR ANALYSIS.pptx
PPT
MATLAB/SIMULINK for Engineering Applications day 2:Introduction to simulink
PPTX
Alg ii3 1-solvingsystemsusingtablesgraphs
PDF
OTLN2012
Ebook mst209 block3_e1i1_n9780749252830_l1 (2)
Numerical solutions of linear algebraic systems using matlab
Linear algebra havard university
3016 all-2007-dist
Deturck wilf
Presentation Linear Algebra.pptx easy pp
Polynomials in scilab
Numerical Methods in Engineering with MATLAB - Jaan Kiusalaas.pdf
A first course in linear algebra robert a. beezer university of puget sound v...
M Jamee Raza (BSE-23S-056)LA project.docx
mathematics
matrices-1.pdf
Linear equations in two variables
Using Mathematica for computational learning
Chapter 1 MATHEMATICAL MODELLING AND ERROR ANALYSIS.pptx
MATLAB/SIMULINK for Engineering Applications day 2:Introduction to simulink
Alg ii3 1-solvingsystemsusingtablesgraphs
OTLN2012

Recently uploaded (20)

PDF
July 2025 - Top 10 Read Articles in International Journal of Software Enginee...
PPTX
KTU 2019 -S7-MCN 401 MODULE 2-VINAY.pptx
PPTX
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
PDF
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
PDF
PPT on Performance Review to get promotions
PDF
Digital Logic Computer Design lecture notes
PPTX
FINAL REVIEW FOR COPD DIANOSIS FOR PULMONARY DISEASE.pptx
PPTX
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx
PDF
Well-logging-methods_new................
PDF
Embodied AI: Ushering in the Next Era of Intelligent Systems
PDF
composite construction of structures.pdf
PPT
Project quality management in manufacturing
PPTX
bas. eng. economics group 4 presentation 1.pptx
PPTX
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
PPTX
OOP with Java - Java Introduction (Basics)
PPTX
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
PPTX
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
PPTX
UNIT-1 - COAL BASED THERMAL POWER PLANTS
PDF
R24 SURVEYING LAB MANUAL for civil enggi
July 2025 - Top 10 Read Articles in International Journal of Software Enginee...
KTU 2019 -S7-MCN 401 MODULE 2-VINAY.pptx
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
PPT on Performance Review to get promotions
Digital Logic Computer Design lecture notes
FINAL REVIEW FOR COPD DIANOSIS FOR PULMONARY DISEASE.pptx
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx
Well-logging-methods_new................
Embodied AI: Ushering in the Next Era of Intelligent Systems
composite construction of structures.pdf
Project quality management in manufacturing
bas. eng. economics group 4 presentation 1.pptx
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
OOP with Java - Java Introduction (Basics)
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
UNIT-1 - COAL BASED THERMAL POWER PLANTS
R24 SURVEYING LAB MANUAL for civil enggi

Soution of Linear Equations

  • 3. 3 Outline:  Introduction  Literature Review  Work  Conclusion
  • 4. 4 Solution of System of Linear Equations Introduction: In everyday life, wedeal with the differentphysicalsituations that can be modelled by different systemof linear equations. Linear equations have many more applications in everyday life. Linear equations are used in Linear equations can have one or more variables. Linear equations occur abundantly in most subareas of mathematics and especially in applied mathematics. While they arise quite naturally when modeling many phenomena, they are particularly useful since many non-linear equations may be reduced to linear equations by assuming that quantities of interest vary to only a small extent fromsome"background" state. Linear equations do not include exponents. Linear equations are very important and are widely used in our daily life. In our daily life, textiles, education, computing, softwaredeveloping etc , mathematics and linear equations are used everywhere. Wecan solve the systemof linear equations using software “Mathematica”. Details of the title is given below: LinearEquation: A linear equation has the form a1x1 +a2x2 +…+anxn =K where“a”” is a real number, “x” is a variable and “k” is a constant. In a linear equation, each variable has an exponent of exactly 1. Examples are 2x +3y= = 12 3x + 4y =5 Reference : Mary Jane Sterling, ”Linear Algebra For Dummies”, 2009 by Willey Publishing A linear equation in variables x1 ,…, xn is an equation of the form a1x1 +…+ anxn = b
  • 5. 5 Where a1,…,an and b are real or complex numbers. The numbers a1, a2,…,an are the coefficients of the equation and b is the constant form. Examples are 9x +4y =6 2x + 7y = 4 Reference : Fred Szabo, “Linear Algebra, An Introduction using Mathematica” ,2000 by Academic Press. LinearSystemof equation: A finite set of linear equations is called a systemof linear equations or linear system. Here is a systemof linear equations 3x + 4y +5z =15 5x + 13y = 6 4y + 6z = 12 Has a solution {𝑥 → 218 1239 , 𝑦 → − 38 413 , 𝑧 → 978 413 } Reference : S.K.Kate, “ Engineering Mathematics-I” , 2009 by Technical Publications. Solution of system of Equations: A solution of systemof equations is n unknowns is an ordered set of n numbers that when substituted for unknowns makeall the equations of the systemtrue. 6x + y +5z =5 5x + 6z = 6 y + 5z = 2 has a solution {𝑥 → − 10 409 , 𝑦 → − 12 409 , 𝑧 → 178 409 } Reference : Patricia Clark Kenschaft, “ Linear Mathematics: A Practical Approach”
  • 6. 6 Mathematica: Mathematica is a computational softwareprogramused in many scientific, engineering, mathematical and computing fields, based on symbolic mathematics. Itwas conceived by Stephen Wolframand is developed by WolframResearch of Champaign, Illinois. The WolframLanguageis the programming languageused in Mathematica. History: Mathematica is the world's mostpowerfulglobal computation system. First released in 1988, it has had a profound effect on the way computers are used in technical and other fields. In 2008, following a dramatic reinvention in 2007, Mathematica continued the momentum of innovation by bringing major new application areas into its integrated framework. Itis often said that the release of Mathematica marked the beginning of modern technical computing. Ever sincethe 1960s individualpackages had existed for specific numerical, algebraic, graphical, and other tasks. But the visionary concept of Mathematica was to create once and for all a single systemthat could handle all the various aspects of technical computing--and beyond--in a coherent and unified way. The key intellectual advancethat made this possiblewas the invention of a new kind of symbolic computer language that could, for the first time, manipulate the very wide rangeof objects needed to achieve the generality required for technical computing, using only a fairly small number of basic primitives. Features  Elementary and Special mathematical function libraries  Matrix and data manipulation tools including supportfor sparsearrays  Supportfor complex number, arbitrary precision, intervalarithmetic and symbolic computation  2D and 3D data, function and geo visualization and animation tools  Solvers for systems of equations, diophantine equations, ODEs, PDEs, DAEs, DDEs, SDEs and recurrencerelations  Numeric and symbolic tools for discrete and continuous calculus
  • 7. 7  Multivariate statistics libraries including fitting, hypothesis testing, and probability and expectation calculations on over 140 distributions.  Supportfor censored data, temporal data, time-series and unit based data  Calculations and simulations on randomprocesses and queues  Tools for visualizing and analysing directed and undirected graphs Number theory function library Linear and non-linear Control systems librarieS Reference: Wolfram, Stephen Mathematica Turns 20 Today, Wolfram, retrieved 16 May 2012 Literature Review: A literature review on severalexisting linear regression equations for correlating water activity (aw) and refractometric moisturecontent in floral honeys was performed in order to providea weighted average regression equation. For this purpose, a metal analysis of the literature linear equations was made which takes into account the number of data points as well as the precision involved in the different literature studies. The weighted average linear regression equation is a general linear relationship to calculate the honey water activity on the basis of the honey moisturecontent Itwas obtained fromcomparing and combining the results of ten independent studies involving 638 observations and including honeys fromArgentina, Colombia, Spain, Germany, Czech Republic, China, México, Cuba, Brazil, El Salvador, India and Vietnam. Itwas also found the proposed equation describes satisfactorily the water activity of concentrated (and supersaturated) glucose/ fructose solutions, which would confirmthat these sugars arethe main determinants of water activity in honey. Work: Mathematica can solvesystems of linear equations. To solvethe equations x + y + z = 0, x + 2y + 3z = 1, and x – y + z = 2, we can use the Mathematica function solve. To do this, make an equation of the list of the left hand sides of the equations and the list of right hand sides as follows:
  • 8. 8 x+y+z2 y+3 zx-y+z2 Solve[x+y+z2 y+3 zx-y+z2,{x,y,z}] {{x4/3,y0,z2/3}} x y z 0 x 2y 3z 1 x y z 2 x y z 0 x 2 y 3 z 1 x y z 2