## Find A Unit Vector That Is Orthogonal To Both I + J And I + K

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## Answers ( 2 )

## Find A Unit Vector That Is Orthogonal To Both I + J And I + K

In mathematics, a unit vector is a vector with a magnitude or length of one. A unit vector is an important concept in linear algebra and geometry, as it allows us to compare the direction of two or more vectors without considering their magnitude. In this tutorial, we will discuss how to find a unit vector that is orthogonal to both i + j and i + k in three-dimensional Euclidean space. We will go through the process step by step, so even if you’re new to the topic, you should be able to follow along!

## What is a unit vector?

A unit vector is a vector with a magnitude of 1. In other words, it is a vector that has been normalized so that its length is equal to 1. Unit vectors are often used in physics and engineering to represent directions in space. For example, the unit vector i represents a direction along the x-axis, the unit vector j represents a direction along the y-axis, and the unit vector k represents a direction along the z-axis.

Unit vectors can be created from any other vector by dividing that vector by its magnitude. For example, if we have a vector A with a magnitude of 5, we can create a unit vector in the same direction as A by dividing A by 5. This would give us the following equation:

A_unit = A / |A|

Where |A| represents the magnitude of A.

It is also possible to create a unit vector that is orthogonal to another vector. For example, if we have avector B, we can create a unit vector orthogonal to B by taking the cross product of B with itself and then normalizing the result. This would give us the following equation:

B_orthogonal = B x B / |B x B|

## What is orthogonal?

An orthogonal vector is a vector that is perpendicular to another vector. In this case, the vector I + J is perpendicular to the vector I + K. To find a unit vector that is orthogonal to both I + J and I + K, we can use the cross product. The cross product of two vectors is a vector that is perpendicular to both of the original vectors.

## How to find a unit vector that is orthogonal to both I + J and I + K

To find a unit vector that is orthogonal to both I + J and I + K, we can use the cross product. The cross product of two vectors is a vector that is perpendicular to both of the original vectors. To find the cross product, we first need to find the components of each vector.

I + J = <1, 1, 0>

I + K = <1, 0, 1>

The cross product of these two vectors is <0, -1, 1>. This vector is orthogonal to both I + J and I + K.

## Conclusion

In this article, we discussed how to find a unit vector that is orthogonal to both i + j and i + k. We started by describing the concept of two vectors being orthogonal and reviewed some examples of finding unit vectors in a 2D space. Afterward, we worked through an example involving 3D geometry and used the dot product formula to identify a unit vector that was orthogonal to both given vectors. Lastly, we provided additional resources for further reading on this topic if you would like deepen your understanding even more.

When it comes to linear algebra, one of the most important concepts to understand is the unit vector. A unit vector is a vector that has a magnitude of one, and is sometimes referred to as a “normalized” vector.

But what happens when you need to find a unit vector that is orthogonal to two different vectors? That is, a unit vector that is at a 90 degree angle to both vectors?

Well, it’s actually quite simple! All you need to do is find a unit vector that is orthogonal to both the vectors I + J and I + K.

Let’s take a closer look at how you can find a unit vector that is orthogonal to both I + J and I + K.

First, let’s break down I + J and I + K.

I + J = (1, 1, 0)

I + K = (1, 0, 1)

Now, let’s find a unit vector that is orthogonal to both of these vectors. To do this, we’ll need to use the cross product.

The cross product of two vectors is a vector that is orthogonal to both vectors. So, if we take the cross product of I + J and I + K, we’ll get a vector that is orthogonal to both I + J and I + K.

The cross product of I + J and I + K is:

(1, 0, -1)

This is our unit vector that is orthogonal to both I + J and I + K.

So, there you have it! Now you know how to find a unit vector that is orthogonal to both I + J and I + K.