What is the difference between Vector and Matrix?

The term vector is usually discussed in subjects like mathematics and physics. It is used to describe a quantity that has both magnitude and direction. Vectors are usually represented as arrows because the arrow shows the direction of a quantity as well as the magnitude (the length of the arrow).

When representing a vector quantity with a letter, the letter should be in bold form and must have an arrow on it to indicate that the quantity is not a scalar quantity. On the other hand, a matrix refers to a rectangular arrangement of numbers with a systemic approach to solve certain systems of linear equations in linear algebra.

Each item in a matrix is known as an element. While a matrix is denoted by a capital letter, its elements are represented with lower case letters. At times, vectors either column or row vectors can be regarded as matrices, but all matrices cannot be regarded as vectors.

Vectors and matrix are two terms that are used in the field of mathematics. They are mainly used in the subject of algebra. Vector is done as a quantity. A vector can have both direction and magnitude. Velocity is an example of vector. Another example is a unit vector, which has a magnitude of 1.

When it is written in a formula or equation, it is done so with a ^ above the variable. Matrix is a value of numbers, that are written in a rectangular array. It is used in linear algebra. A matrix is great to keep track of coefficients.

When it comes to mathematics as a subject field, vector and matrix are terms that are used majorly under algebra. A vector is usually defined as a quantity which has both magnitude and direction. A good example of a vector quantity is velocity. Vector is usually written in science on form of a boldface number with an arrow on it.

A vector whose value of magnitude is 1 is called a unit vector, and it is denoted using a carat (^) above the variables. Several quantities in science are known as vector quantities, and you can make use of them to solve 3D problems in geometry.On the other hand, a matrix refers to a rectangular array of numerical values, and which is an essential tool in linear algebra. You can use matrix to keep track of coefficients when dealing with linear equations and also represent linear transformation. Some other aspects where you can use matrix include graph theory, calculus, physics, and computer graphics.