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JEE Exam » JEE Study Material » Mathematics » Row Matrix

Row Matrix

It is a sort of matrix that has only one row, and it is used in mathematics to represent the number one. However, there could be more than one column in the table.

Table of Content
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A row matrix is a matrix in which all of its entries are contained within a single row. The elements of a row matrix are organised in a horizontal fashion, and the row matrix’s order is 1 x n. A row matrix, A = [a, b, c, d], has only one row and can have as many columns as the number of elements in the row. A row matrix can have as many columns as the number of elements in the row. A row matrix is defined as such when the size of the matrix is on the order of 1 x n or greater. The elements are organised in such a way that each row in the matrix is represented by a single element in the arrangement.

What Is A Row Matrix?

Row matrix is a type of matrix in which all of the elements are contained within a single row of data. A row matrix is a matrix with only one row and several columns. A row matrix has n items and has the order 1× n. It has the following properties: It is organised in a horizontal fashion, with the number of items equaling the number of columns in a row matrix. The following is the general representation of a row matrix.

 Examples of Row Matrix

Take a look at the three instances of row matrix provided below.

B=[ 1 7]1✕2

B is a row matrix with an order of 1×2. In this matrix, two elements are organised in a single row, but they are spread out across two columns.

c=[ g e h]1✕3

C is a row matrix of the order 1×3with three columns. In this matrix, three components are placed in a row, however, they are distributed throughout three columns.

D=[ 3 5 611]1✕4

 

D is a row matrix with an order of 1×4. In this matrix, four items are grouped in a single row, however, they are distributed throughout four columns.

The elements in all four of the instances above are arranged in a single row, but the number of columns varies from one to the next. Similar to this, the arrangement of elements in all matrices results in the formation of a rectangular shape. Consequently, a row matrix is always a rectangular matrix of the same size.

 

 

Properties of Row Matrix

In order to gain a better knowledge of the row matrix, the following properties of the row matrix are discussed.

  • A row matrix is a matrix with only one row.

  • A row matrix is composed of a large number of columns.

  • The number of elements in a row matrix is the same as the number of columns in the matrix and vice versa.

  • A row matrix is the same as a rectangular matrix in some ways.

  • It is possible to transpose a row matrix into a column matrix.

  • Only a row matrix of the same order can be added or removed from the row matrix in question.

  • A row matrix can be multiplied by only one column matrix, and vice versa.

  • A singleton matrix is formed by multiplying a row matrix by a column matrix.

 

 

Operations On Row Matrix

The algebraic operations of addition, subtraction, multiplication, and division can all be done over row matrices, as can the following operations: The addition and subtraction operations on row matrices can be done in the same way as they can be performed on any other type of matrix. Only other row matrixes can be added to or subtracted from a row matrix of their own. In this case, the two matrices should be in the same order as before.

A=[9  -5  2  0]  ,   B=[5   8  4  7]

 

A + B =[9+5   (8-5)   2+4    0+7]= [14   8   6   7]

 

The multiplication of a row matrix is possible with a column matrix. Satisfying the condition of matrix multiplication of a row matrix is achievable when using a column matrix as the input. In order to satisfy the condition of matrix multiplication, the number of columns in the row matrix must be the same as the number of rows in the column matrix. In other words, the number of columns in the first matrix for multiplication should be the same as the number of rows in the second matrix for multiplication.

 

Ideally, the number of columns in a row matrix should equal the number of rows in a column matrix when matrix multiplication is being performed. In other words, the number of columns in the first matrix for multiplication should be the same as the number of rows in the second matrix for multiplication.

 

Adding a row matrix to a column matrix produces a singleton matrix, which is the outcome of multiplication. Furthermore, because there is no such thing as an inverse of a row matrix, the row matrix cannot be utilized for division. 

Conclusion

It is a sort of matrix that has only one row, and it is used in mathematics to represent the number one. However, there could be more than one column in the table. A row matrix is defined as such when the size of the matrix is on the order of 1 x n or greater. The elements are organized in such a way that each row in the matrix is represented by a single element in the arrangement.

 
faq

Frequently asked questions

Get answers to the most common queries related to the JEE Examination Preparation.

Can you explain the row with an example?

Ans: A row is a table or spreadsheet row of data banks set down horizontally. ...Read full

What is the row matrix's logical order?

Ans: According to a convention, rows are listed first, followed by columns. As a result, we would say that the dimen...Read full

How do you multiply a column vector by a row vector in matrix form?

Ans:  For a row vector to be multiplied by a column vector, the row vector mu...Read full

What is the transpose of a vector in mathematics?

Ans: The transpose of a vector is vT ∈ R1...Read full

Ans: A row is a table or spreadsheet row of data banks set down horizontally. Examples include the following: row headers (row numbers) are numbered 1, 2, 3, 4, 5, etc. in the illustration below. The 16th row is highlighted in red, and cell D8 (on the 8th row) is the cell that has been selected.

Ans: According to a convention, rows are listed first, followed by columns. As a result, we would say that the dimension (or order) of the aforementioned matrix is 3 x 4, which means that it contains 3 rows and 4 columns.

 

Ans:  For a row vector to be multiplied by a column vector, the row vector must contain at least as many columns as the column vector contains rows.

 

Ans: The transpose of a vector is vT ∈ R1×m, which is a matrix with a single row, sometimes known as a row vector, and is represented by An exception to the general rule of a matrix-matrix product arises when the two factors correspond to a row multiplied by a column vector in the same row.

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