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Questions and Answers
What is the result of multiplying matrix M1 by matrix M2?
What is the result of multiplying matrix M1 by matrix M2?
- 19 22 31 34
- 13 16 21 24 (correct)
- 5 12 21 32
- 23 26 35 38
In matrix multiplication, why is it essential that the number of columns in the first matrix matches the number of rows in the second matrix?
In matrix multiplication, why is it essential that the number of columns in the first matrix matches the number of rows in the second matrix?
- To ensure commutativity
- To simplify the calculation process
- To allow for valid matrix multiplication (correct)
- To ensure associativity
Which property of matrix multiplication states that M1(M2 + M3) = M1M2 + M1M3?
Which property of matrix multiplication states that M1(M2 + M3) = M1M2 + M1M3?
- Commutative property
- Associative property
- Distributive property (correct)
- Identity property
If M1 is a 2x3 matrix and M2 is a 3x4 matrix, what will be the resulting order of the matrix obtained by multiplying M1 by M2?
If M1 is a 2x3 matrix and M2 is a 3x4 matrix, what will be the resulting order of the matrix obtained by multiplying M1 by M2?
What property of matrix multiplication states that M1M2 ≠M2M1?
What property of matrix multiplication states that M1M2 ≠M2M1?
If two matrices have orders m x n and p x q respectively, under what condition is matrix multiplication possible?
If two matrices have orders m x n and p x q respectively, under what condition is matrix multiplication possible?
Study Notes
Matrix Algebra: A Deep Dive into Matrix Multiplication
Matrix algebra is a branch of mathematics that deals with the manipulation of matrices, which are rectangular arrays of numbers, symbols, or expressions. The operation of matrices includes addition, subtraction, and multiplication. In this article, we will focus on matrix multiplication, a crucial operation in matrix algebra.
Matrix multiplication is the process of multiplying two matrices together, where the number of columns in the first matrix matches the number of rows in the second matrix. The result is a new matrix, where the elements are the sum of the products of the corresponding elements in the original matrices.
Let's consider two matrices, M1 and M2, with the following orders:
M1: m1 × n1 M2: m2 × n2
Matrix multiplication is possible if and only if n1 = m2. The resultant matrix obtained by multiplying two matrices, denoted as M1M2, will have the order of m1 × n2.
The basic rules of matrix multiplication include the following:
- Matrix multiplication is not commutative, meaning that M1M2 ≠M2M1.
- Matrix multiplication is associative, meaning that (M1M2)M3 = M1(M2M3).
- Matrix multiplication is distributive with respect to addition, meaning that M1(M2 + M3) = M1M2 + M1M3.
To illustrate matrix multiplication, let's consider two matrices:
M1 = 1 2 3 4
M2 = 5 6 7 8
To multiply M1 by M2, we multiply each element in the first row of M1 by the corresponding elements in the first column of M2 and sum the products. The results are then placed in the corresponding positions in the resulting matrix:
M1M2 = 1(5) + 2(7) = 13 2(6) + 4(8) = 22
5(1) + 6(3) = 19
7(2) + 8(4) = 32
So, the resulting matrix M1M2 is:
13 19 22 32
In conclusion, matrix multiplication is a fundamental operation in matrix algebra. It is used in various fields, including engineering, physics, and computer science, to solve linear systems, find eigenvectors and eigenvalues, and analyze systems of equations. Understanding matrix multiplication is essential for mastering matrix algebra and applying it to real-world problems.
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Description
Explore the fundamental rules and examples of matrix multiplication, an important operation in matrix algebra. Learn about the conditions required for matrix multiplication, the basic rules, and how to perform multiplication between two matrices. Enhance your understanding of matrix algebra through practical examples and applications in various fields.
