It contains the basics of matrix which includes matrix definition,types of matrices,operations on matrices,transpose of matrix,symmetric and skew symmetric matrix,invertible matrix,
application of matrix.
Some types of matrices, Eigen value , Eigen vector, Cayley- Hamilton Theorem & applications, Properties of Eigen values, Orthogonal matrix , Pairwise orthogonal, orthogonal transformation of symmetric matrix, denationalization of a matrix by orthogonal transformation (or) orthogonal deduction, Quadratic form and Canonical form , conversion from Quadratic to Canonical form, Order, Index Signature, Nature of canonical form.
matrices
The beginnings of matrices goes back to the second century BC although traces can be seen back to the fourth century BC. However it was not until near the end of the 17th Century that the ideas reappeared and development really got underway.
It is not surprising that the beginnings of matrices and determinants should arise through the study of systems of linear equations. The Babylonians studied problems which lead to simultaneous linear equations and some of these are preserved in clay tablets which survive.
In mathematics, a matrix (plural matrices) is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns. For example, the dimensions of the matrix below are 2 × 3 (read "two by three"), because there are two rows and three columns.
It contains the basics of matrix which includes matrix definition,types of matrices,operations on matrices,transpose of matrix,symmetric and skew symmetric matrix,invertible matrix,
application of matrix.
Some types of matrices, Eigen value , Eigen vector, Cayley- Hamilton Theorem & applications, Properties of Eigen values, Orthogonal matrix , Pairwise orthogonal, orthogonal transformation of symmetric matrix, denationalization of a matrix by orthogonal transformation (or) orthogonal deduction, Quadratic form and Canonical form , conversion from Quadratic to Canonical form, Order, Index Signature, Nature of canonical form.
matrices
The beginnings of matrices goes back to the second century BC although traces can be seen back to the fourth century BC. However it was not until near the end of the 17th Century that the ideas reappeared and development really got underway.
It is not surprising that the beginnings of matrices and determinants should arise through the study of systems of linear equations. The Babylonians studied problems which lead to simultaneous linear equations and some of these are preserved in clay tablets which survive.
In mathematics, a matrix (plural matrices) is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns. For example, the dimensions of the matrix below are 2 × 3 (read "two by three"), because there are two rows and three columns.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
2. • In 1985 Arthur caylay presented the system of matrices called Theory of matrices.
• It was the latest way to solve the systems of linear equations.
• For example x +2y=0
3x+4y=0
• As we know in equation system we deal with coefficients of variables to solve the problems, so Arthur
caylay plot these coefficients in this form.
• We denote a Matrix with capital letters A, B, C and so on.
• The numbers in a matrix is called its entries or elements.
• We define matrix as A collection of numbers in a rectangular array is called Matrix.
• We enclose the elements in [ ] Square brackets or in ( ) parenthesis.
• The elements are arranged in rows and columns. (1 2) is in Row 1 denoted by R1 and (3 4) are in R2.
While 1 and 2 are in Column form denoted by C1 and C2
3 4
• Or we can say that when we write numbers in a horizontal way this is called the row of the matrix and
when we write the numbers in vertical way we called it as columns of the matrix.
• We may have many rows and columns in a matrix.
3. Order of Matrix
• Order of matrix means how many rows and columns are their in a matrix.
• In order of matrix total number of rows are denoted by m and total number of columns
are denoted by n.
• We can say that order of a matrix is no of rows by no of columns such that m x n
(read as m-by-n).
• For example we have a matrix
• Now look at the matrix
a11 means 1st row and 1st column
a12 means 1st row and 2nd column
a13 means 1st row and 3rd column up to a1n means 1st row and columns
Similarly a21 means 2nd row and 1st column
a22 means 2nd row and 2nd column and a23 means 2nd row and 3rd
column up to a2n means 2nd row and n columns.
• We usually denote each element in matrix by amn means a number
Say 5 in 1st row m and 2nd column n.
• The order of matrix help us to perform the mathematical operations.
4. Types of Matrices
Equal Matrices
• Two matrices or more are said to be equal if their corresponding elements and order are the same. Such
that we have matrix A of order 2 x 2 and matrix B 2 x 2
• For example
• So for equal
Matrices we must
have 1. same order
2. same corresponding elements.
• We use equal matrices to find out the unknown variables by comparing
corresponding elements.
5. Row and Column Matrices
• A matrix with only one row such that by order 1 x n is said to be row matrix.
• In row matrix we have no concern with the number of columns n, we only look at the no of row which
should be one called row matrix.
• Fro example
Which have one row and 3 columns such that 1 x 3
• A matrix with only one column such that by order m x 1 is said to be column matrix.
• In column matrix we have no concern with the number of roes m, we only look at the no of column which
should be one called column matrix
• For example
• It is possible a matrix may be at the same be row and column matrix that is 1 x 1 for example [7].
6. Square, Rectangular and Zero Matrices
• A matrix is said to be square matrix if m = n means no of rows should be equal to number of columns.
• For example
Which have 2 rows
And 2 columns
• A matrix is said to be rectangular matrix if m ≠ n means no of rows should not be equal to number of
columns.
• For example
Which have 2 rows
And 3 columns
• A matrix is said to be zero or null matrix whose have elements are zero 0. Irrespective of order of matrix.
• For example
• Remember 0 is a real number which is called the additive identity because whenever we add 0 with any
number it gives the same number as a answer. So we can say a matrix also contain zero matrix.
• A zero matrix may be row, column, square or rectangular matrix.
• It is denoted by o.
• It is used to find out the additive inverse .
7. Diagonal and Scalar Matrices
• For diagonal matrix the following conditions should be there.
1. It should be square matrix
2. It should contains at least 1 non zero element in its diagonal.
3. While other elements should be zero 0.
• A straight line inside a shape that goes from one corner to another is called diagonal.
• For example the line joining A to B is called diagonal
• Diagonal matrix in which its diagonal elements have at least 1 non zero element and other are zero
elements.
• A diagonal matrix which have the same diagonal and non zero elements called scalar matrix.
8. Identity Matrix
• A scalar matrix which have 1 in its diagonal.
• It is denoted by I.
• It is called identity matrix because when we
Multiply this with any matrix it gives the same matrix, the other matrix did not lost his identity.
• Identity matrix is always a square matrix.
9. Addition and Subtraction of Matrices
• Two matrices can be added if matrix A and B have the same order..
• The entries or elements are added with their corresponding entries.
• Two matrices can be subtracted if matrix A and B have the same order ..
• The entries or elements are subtracted with their corresponding entries.
• In subtraction matrices A – B ≠ B – A .
10. Transpose and Negative of Matrix
• Let A be a matrix of order 2-by-3, then transpose of a matrix means interchanging rows by columns and
columns by rows.
• For example
• It is denoted by At
• For a matrix of order
Say 2 by 3 then its
transpose will change the
order by 3 by 2.
• Remember all real numbers have negative called additive inverse i.e 7 has -7. Similarly in matrices we
also have negative matrix.
11. Multiplication of Matrices
Scalar multiplication
• Two or more matrices can be multiplied if no of columns in first matrix equals to no of rows in second matrix.
Such that (no of columns in first matrix) n = m (no of rows in second matrix)
• The 1st row is multiplied by 1st column of other
matrix, then same row is multiplied by 2nd column of
other matrix and their product are added.
• The product we get from multiplication must have
the order of no of rows of 1st matrix and no of columns
of 2nd matrix. From their product we get matrix of order
2 by 2
• Scalar multiplication is the multiplication with the
real number whether positive or negative.