Another method? - Matrix & Linear Independence

In summary, a 7 by 4 matrix has a rank of 4 and the number of rows in the matrix is 7. Therefore, the set of rows of the matrix is linearly dependent. While there may be alternative methods to prove this, such as considering the dimension of R4, the given information is sufficient to show the linear dependence.
  • #1
RajdeepSingh7
9
0
Question :
Let A be a 7 × 4 matrix. Show that the set of rows of A is linearly dependent.



Answer:
The row vectors of a matrix are linearly independent if and only if the rank of the matrix is equal to the number of rows in the matrix.
Since rank (A) = 4 , and the number of rows in the matrix is 7, the row vectors are linearly dependent.



I am sure that my answer is right, but I was considering or wondering if there was an alternative method, because the actual answer is worth 4 marks, so was wondering if there was a more mathematical sound proof possible to prove the answer?
 
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  • #2
The rows of a 7 by 4 matrix are members of R4 which has dimension 4- any set of more than 4 vectors must be dependent.

Your basic statement that a 7 by 4 matrix has rank 4 is NOT correct. The matrix
[tex]\begin{bmatrix}1& 1 & 1 & 1\\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \\1& 1 & 1 & 1 \end{bmatrix}[/tex]
does not have rank 4.
 

FAQ: Another method? - Matrix & Linear Independence

What is the concept of linear independence?

Linear independence is a mathematical concept that refers to the relationship between vectors in a vector space. It means that a set of vectors cannot be created by multiplying each other by a constant; they are independent of each other.

How is linear independence related to matrix operations?

Linear independence is an important concept in matrix operations because it helps determine whether a set of vectors can be used as a basis for a vector space. If the vectors are linearly independent, they can form a basis for the vector space, allowing for efficient operations such as matrix multiplication and solving systems of linear equations.

What does it mean to have a linearly dependent set of vectors?

A linearly dependent set of vectors means that one or more of the vectors in the set can be expressed as a linear combination of the other vectors. In other words, one vector can be created by multiplying the other vectors by constants and adding them together. This can lead to redundancy and inefficiency in matrix operations.

How can linear independence be tested in a matrix?

Linear independence can be tested by creating a matrix from the set of vectors and performing row operations to reduce it to its echelon form. If there are any rows of zeros in the reduced matrix, it indicates that the vectors are linearly dependent. Alternatively, the determinant of the matrix can also be calculated, and if it is equal to zero, the vectors are linearly dependent.

Why is understanding linear independence important in scientific research?

Linear independence is a fundamental concept in linear algebra, which is used in many fields of science, including physics, engineering, and computer science. It allows for efficient and accurate mathematical modeling and analysis of real-world phenomena. In addition, linear independence is essential in understanding the properties and behavior of vector spaces, which are important in many areas of scientific research.

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