In this unit, we're going to have a look at a way of combining two vectors. This method is called the vector product. And it's called the vector product because when we combine the two vectors in this way, the result that will get is another vector. OK, let's start with the two vectors. So suppose we have a vector A. And another vector. Be. And we have drawn these vectors A&B so that their tails coincide. And so that we can label the angle between A&B's theater like that. So we start with two vectors and we're going to do some calculations with these two vectors to generate what's called the vector product. And the vector product is defined to be the length of the first vector. That's the length of A. Multiplied by the length of the second vector, the length of be. Multiplied this time by the sign of the angle between a envy. Length of the first one, length of the second one, and the sign of the angle between the two vectors. Now that's all well and good, but this isn't a vector. This is a scalar. This is just a number times a number times a number. And if we're going to get a result which is a vector we've got to give some direction to this. If we look back at the diagram, will notice that if we choose any two vectors, these two vectors lie in a plane. They form a plane in which they both lie. When we calculate the vector product of these two vectors, we define the direction of the vector product to be the direction which is perpendicular to the plane containing A&B. So if we have a vector which is perpendicular to a man to be and to enter the plane containing an be, this gives us the direction of the vector product. And in fact, there are two possible directions which are perpendicular to this plane, because In addition to the one that I've drawn upwards like this, There's also one. That's downwards like that, so we have two possible directions which are perpendicular to the plane containing A&B. And we have a convention for deciding which direction we should choose. Now, this convention is variously called the right hand screw rule or the right hand thumb rule, so I'm going to show you both of these different conventions. First of all, the right hand screw rule. If you take a conventional screwdriver and right handed screw, and if you imagine turning the screwdriver handle so that we turn from the direction of a round to the direction of be. So I'm turning my screwdriver In this sense. That way around like that. Imagine the direction in which the screw would advance. So in turning from the sensor data, the sense of B. The scroll advance. Upwards. So it's this upwards direction here, which we take as the direction we require for evaluating this vector product. Let me denote a unit vector in this direction by N. So if we want to calculate the vector product of amb, this is going to be its magnitude. And the direction we want is one in the direction of this unit vector N. So I put a unit vector N there to give the direction to this quantity here. There's another way, which sometimes people use to define the direction of the vector product, which is equivalent, and it's called the right hand thumb rule. Let me explain this as well. Imagine you take your fingers of your right hand and you curl them in the sense going round from a round towards be. So you curl your fingers. In the direction from a round to be then the thumb points in the required direction of the vector product. Yet another way of thinking about this. Still with the right hand is to point the first finger in the direction of A. The middle finger in the direction of B. And then the thumb points in the required direction of the vector product of A&B. So using either the right hand screw rule or the right hand thumb rule, we can deduce that when we want to find the vector product of these two vectors A&B, the direction that we require is the one that's moving upwards on this diagram here, not the one moving downwards. So the vector product is defined as the length of the first times the length of the second times the sign of the angle between the two times this unit vector N. Which is defined in a sense defined by the right hand thumb rule or the right hand screw rule. Now we have a notation for the vector product and we write the vector product of A&B, like this A and we use a time sign or across. And so sometimes instead of calling this the vector product, we sometimes call this the cross product and throughout the rest of this unit, sometimes you'll hear me refer to this either as the cross product product, all the vector product. And I'll use these two words interchangeably. So that's the definition will need. I'll also mention that some authors and some lecturers will use a different notation again, and you might see a cross be written using this wedge symbol like this, and that's equally acceptable and often people will use the wedge as well to define the vector product. It's very important that you put this symbol in either the wedge or the cross because you don't want to just write down to vectors like that when you might mean the vector product or you in fact might mean a scalar product. Or you might mean something else, so don't use that sort of notation. Make sure you're very explicit about when you want to use a vector product by putting the time sign or the wedge sign in. Let's look at what happens now. When we calculate the vector product of A&B. But we do it in a different order, so we look at B cross a. Now, as before, we want the modulus of the first factor, which is the modulus of be. Multiplied by the modulus of the second vector, the modular survey. We want the sign of the angle between B&A, which is still the sign of angle theater. And we want to direction. Now again using our right hand screw or right hand thumb rule we can try to find the sense we require so that as we turn from B round to a, this time from the first round of the second vector, reoccuring my fingers in the sense from be round to a. You'll see now that the thumb points downwards. So this time we want a vector which is a unit vector pointing downwards instead of upwards. Now unit vector downwards must be minus N hot. If the output vector was an hat. So this time the required direction of be cross a is minus an hat. If we bring the minus sign out to the front, you'll see that we get modulus of be modulus of a sine theater. An hat with the minus sign at the front now, and if you examine this vector with the vector we had before, when we calculated a cross, B will see that the magnitudes of these two vectors are the same, because we've got a modulus of a modulus of being sign theater in each. But the directions are now different, because where is the direction of this one? Was an hat the direction now is minus and hat. And we see that this quantity in here. Is the same as we had here. So in fact, what we've found is that B Cross A is the negative of a crossbite. This is very important. When we interchange the order of the two vectors. We get a different answer be cross a is in fact the negative of across be. So it's not true that a cross B is the same as be across A. Across be is not equal to be across A. And in fact, what is true is that B cross a is the negative of a cross be. So we say that the vector product is not commutative. So what that means in practice is that when you've got to find the vector product of two vectors, you must be very clear about the order in which you want to carry out the operation. Now there's a second property of the vector product. I want to explain to you, and it's called the distributivity of the vector product over addition. What does that mean? It means that if we have a vector A and we want to find the cross product with the sum of two vectors B Plus C. We can evaluate this or remove the brackets in the way that you would normally expect algebraic expressions to be evaluated. In other words, the cross product distributes itself over this edition. In other words, that means that we workout a crossed with B. And then because of this addition here, we add that to a crossed with C. So this is the distributivity rule which allows you to remove brackets in a natural way. It's also works through the way around, so if we had B Plus C first. And we want to cross that with a. We do this in a way you would expect. Be cross a. Plus secrecy. And together those rules are called the distributivity rules. I will use those in a little bit later, little bit later on in this unit. Another property I want to explain to you is what happens when the two vectors that we're interested in our parallel. So let's look at what happens when we want to find the vector product of parallel vectors. Suppose now then we have a Vector A and another vector B where A&B are parallel vectors. Is that parallel and we make the tales of these two vectors coincide? Then the angle between them will be 0. So when the vectors are parallel theater is 0. So when we come to work out across VB, the modulus of a modulus of B, the sign, this time of 0. And the sign of 0 is 0. So when the two vectors are parallel, the magnitude of this vector turns out to be not. So in fact what we get is the zero vector. So for two parallel vectors. The vector product is the zero vector. We now want to start to look at how we can calculate the vector product when the two vectors are given in Cartesian form. Before we do that, I'd like to develop some results which will be particularly important. In this diagram I've shown a 3 dimensional coordinate system, so we can see an X axis or Y axis and it said access. And superimposed on this system I've got a unit vector I in the X direction unit vector J in the Y direction and unit vector K and the zed direction. And what I want to do is explore what happens when we cross these unit vectors so we workout I cross J or J Cross K etc. And let's see what happens. Suppose we want I crossed with J. Well, by definition, the vector product of iron Jay will be the modulus of the first vector. And we want the modulus of this vector I now this is a unit vector remember, so its modulus is one. Times the modulus of the second vector, and again the modulus of J is the modulus of a unit vector. So again, it's one. Times the sign of the angle between. I&J, that's the sign of 90 degrees. And then we've got to give it a direction, and the direction is that defined by the right hand screw rule or right hand thumb rule. So as we imagine, turning from Iran to J. Imagine curling the fingers around from I to J. The thumb points in the upward direction points in the K direction. So when we work out across J, the direction of the result will be Kay Kay being a unit vector in the direction. Which is perpendicular to the plane containing I&J. Now, this simplifies a great deal because the sign of 90 side of 90 degrees is one. So we've got 1 * 1 * 1, which is 1K. So we've got this important result that I cross. Jay is K. Let's look at what happens now when we work out. Jake Ross I. When we work out Jake Ross, I were doing the vector product in the opposite order to which we did it when we calculated across J and we know from what we've just done that we get a vector of the same magnitude of the opposite sense, opposite direction. So when we work out Jake Ross, I in fact will get minus K, which is another important result. Similarly, if we work out, say, for example J Cross K, let's look at that one. Again, you want the modulus of the first one, which is one the modulus of the second one, which is one the sign of the angle between J&K. Which is the sign of 90 degrees. And again you want to direction defined by the right hand screw rule and J Cross K being where they are here. If you kill your fingers in the sense around from the direction of J round to the direction of K and imagine which way your thumb will move, your thumb will move in the eye direction. So Jake Ross K equals I. 1 * 1 * 1 gives you just the eye. So this is another important result. J Cross K is I. And equivalently, if we reverse, the order will get cake. Ross Jay is minus I from the result we had before. So we've dealt with I crossing with JJ, crossing with K. What about I crossing with K? If we workout I Cross K again. Modulus of the first one is one modulus of the second one is one and I encounter at 90 degrees. So with the sign of 90 degrees and we want a direction again and again with the right hand screw rule I cross K will give you a direction which is in this time in the sense of minus J we just look at that for a minute. If you imagine to curling your fingers in the sense of round from my towards K. Then the thumb will point in the direction of minus J, so we've got I Cross K is minus J, or equivalently K Cross I equals J. So again important results. Now, it's important that you can remember how you calculate vector product of the eyes in the Jays. In the case that I'm going to suggest a way that you might remember this if you write down the IJ&K in a cyclic order like that, and imagine moving around this cycle in a clockwise sense. And if you want to workout, I cross Jay. The result will be the next vector round K. If you want to workout J Cross K. The result will be the next vector round when we move around clockwise, which is I. And finally came across I. Same argument. Next vector round is Jay, so that's that's an easy way of remembering the vector products of the eyes and Jason case. And clearly when you reverse the order of any of these, you introduce a minus sign. Alternatively, if you wanted for example K Cross J, you'd realize that to move from kata ju moving anticlockwise, so K Cross Jay is minus I, that's the way that I find helpful to remember these results. We're now in a position to calculate the vector product of two vectors given in Cartesian form. Suppose we start with the Vector A and let's suppose this is a general 3 dimensional vector, a one I plus A2J plus a 3K where A1A2A3 or any numbers we choose. Suppose our second vector B, again arbitrary is be one. I be 2 J and B3K. And we set about trying to calculate the vector product across be. So we want the first one A1I Plus A2J plus a 3K. I'm going to cross it with B1IB2J and B3K. Now this is a little bit laborious and it's going to take a little bit of time to develop it at the end of the day, will end up with a formula which is relatively simple for calculating the vector product. So we start to remove these brackets in the way that we've learned about previously. We use the distributive law to say that the first component here a one I. And then the 2nd and then the third distributes themselves over the second vector here. So will get a one. I crossed with all of this second vector. The One I plus B2J plus B3K. Then added to the second vector here. A2J Crossed with. This whole vector here. The One I plus B2J plus B3K. And finally, the third one here, a 3K. Crossed with the whole of this vector B1 I add B2J ad D3K. So at that stage we've used the distributive law wants to expand this first bracket. We can use it again because now we've got a vector here crossed with three vectors added together and we can use the distributive law to distribute this. A one I cross product across each of these three terms here. Then again, to distribute this across these three terms and to distribute this across these three terms. So if we do that, we'll get a one. I crossed with B1I. Added to a one I cross B2J. Do you want I cross B2J? Added to a one I. Crossed with B3K. So that's taken care of removing the brackets from this first term here. Let's move to the second term. We've got a 2 J crossed with B1I. A2 J crossed with B2J. And a two J crossed with B3K. And that's taking care of this term. And finally we use the distributive law once more to remove the brackets over. Here will get a 3K cross be one I. Plus a 3K cross be 2 J. And finally, a 3K cross be 3K. So we get all these nine terms. In fact, here now it's not as bad as it looks, because some of this is going to cancel out, and in particular one of the things you may remember we said was that if you have two parallel vectors. Their vector product is 0. Now these two vectors A1I and B1 I a parallel because both of them are pointing in the direction of Vector I. So these are these are parallel and so the vector product is 0, so that will become zero. For the same reason, the A2 J Crosby to Jay is 0 because A2 J is parallel to be 2 J. And a 3K Crosby 3K is 0 because a 3K and B3K apparel vectors so they disappear. So that's reduced it to six terms. Now, what about this term here? Let's look at a one I cross be 2 J. If you work out the vector product of these, we've got a vector in the direction of. I crossed with a vector in the direction of Jay, and we've seen already that if you have an I cross OJ the result is K. So when we workout a one across be 2, J will write down the length of the first, the length of the 2nd. And then the direction is going to be such that it's at right angles to I and TJ in a sense defined by the right hand screw rule. And that sense is K. So when we simplify this first term here, it'll just simplify to A1B2K. What about this one here? This direct this factor here a one is in the direction of I. This ones in the direction of K and we've already seen that if we workout I cross K let me remind you of our little diagram we had. I JK this cycle of vectors here. If we want a vector in the direction of across with vector in the direction of K were coming anticlockwise around this diagram and I Cross K is going to be minus J. So when we come to workout this term, we want the length of the first term A1 length of the second one which is B3. But I Cross K. Is going to be minus J. So that start with that. What about this one? Again, length of the first one is A2. Length of the second one is B1, and a Jake Ross I. For the diagram again Jake Ross I moving anticlockwise around this circle, J Cross Eye is going to be minus K. And also this one will have a 2 J Crosby 3K length of the first one is A2 length of the second one is B3 and Jake Ross K. Clockwise now Jake Ross K is I. We dealt with that one and the last two terms, a 3K cross be one. I will be a 3B One and K Cross. I came across. I will be J. And last of all, a 3K cross B2J will be a 3B2K Cross JK cross. Jay going anticlockwise will be minus I. And these six times if we study them now, you realize that two of the terms of involved K2 of the terms involved Jay and two of the terms involved I. So we can collect those like terms together and in terms of eyes, there will be a 2B3I And and minus a 3B2I. So just the items will give you this term here. Just the Jay terms will be a 3B one. Minus A1B3? There the Jay terms. And the Kay terms, there's an A1B2. Minus an A2B one. And those are the key terms. So All in all, with now reduced this complicated calculation down to one which just gives us a formula for calculating a cross be in terms of the components of the original vectors, and that's an important formula that will now illustrate in the following example. OK, so to illustrate this formula with an example, let me write down the formula again across be is given by a two B 3 - 8 three B2. Plus a 3B one minus a one V3J. Plus A1 B 2 - 8, two B1K. So that's the formula will use. Let's look at a specific example. And let's choose A to be the Vector 4I Plus 3J plus 7K. And let's suppose that B is the vector to I plus 5J plus 4K. So to use the formula we need to identify A1A2A3B1B2B3 the components, so a one will be 4. A2 will be 3 and a three will be 7B. One will be two, B2 will be 5 and be three, will be 4 and all we need to do now is to take these numbers and substitute them in the appropriate place in the formula. So will do that and see what we get across be. We want a 2B3. Which is 3 * 4. Which is 12 subtract A3B2. Which is 7 * 5, which is 35 and that will give us the I component of the answer. Plus a 3B One which is 7 * 2 which is 14. Subtract A1B3 which is 4 * 4 which is 16. And that will give us the J component of the answer. And finally. A1B2? Which is 4 * 5, which is 20. Subtract a 2B one which is 3 * 2, which is 6 and that will give us the key component of the answer. So just tidying this up 12. Subtract 35 is minus 23 I. 14 subtract 16 is minus 2 J. And 20 subtract 6 is plus 14K. That's the result of calculating the vector product of these two vectors A&B and you'll notice that the answer we get is indeed another vector. Now that example that we've just seen shows that it's a little bit cumbersome to try to workout of vector product, and for those of you familiar with mathematical objects, called determinants, there's another way which we can use to calculate the vector product and I'll illustrate it. Now, if you've never seen a determinant before, it doesn't really matter because you should still get the Gist of what's going on here. If we want to calculate a cross be. We can evaluate this as a determinant, which is an object with two straight lines down the size like this along the first line will write the three unit vectors I Jane K. On the second line, will write the components of the first vector, the first vector being a as components A1A2 and A3. And on the last line, the line below will write the cover 3 components of the vector be which is B1B 2B3. Now, as I say, when you evaluate the determinant, you do it like this, and if you've never seen it before, it doesn't matter. Just watch what I do and we'll see how to do it. Imagine first of all, that we cover up the row and column with the I in it. This first entry here corrupt their own column and look at what's left. We've got four entries left and what we do is we calculate the product of the entries from the top left to the bottom right. And subtract the product of the entries from the top right to the bottom left. In other words, we workout a 2B3. Subtract A3B2. That's 82B3, subtract A3B2. So that Operation A2 B 3 - 8 three B2 is what will give us the eye components of the vector product. Then we come to the J component. And again, we cover up the row and the column with a J in it, and we do the same thing. We calculate the product A1B3. Subtract A3B, One. And that will give us a one B 3 minus a 3B One J. But when we work a determinant out, the convention is that we change the sign of this middle term here. Finally, we moved to the last entry here on the 1st Row. And we cover up their own column with a K in and do the same thing again, A1B2 subtract a 2B one. A1B2 subtract 8 two B1 and that will give us the key component and this formula is equivalent to the formula that we just developed earlier on. The only difference is there's a minus sign here, but when you apply the minus sign to these terms in here, this will swap them around and you'll get the same formula as we have before. So let's repeat the previous example, doing it using these determinants we had that a was the vector 4I Plus 3J plus 7K, and B was the vector to I plus 5J Plus 4K, so will find the vector product. But this time will use the determinant. Always first row right down the unit vectors IJ&K. Always in the 2nd row, the three components of the first vector, which is A the three components being 4, three and Seven. And the last line, the three components of the second vector. 25 and four. And then we evaluate this. As I said before, imagine crossing out the row and the column with the IN. And calculating the product 3 * 4 - 7 * 5, which is 3, four 12 - 7, five 35 and that will give you the I component of the answer. Cross out their own column with the Jays in. 4 * 4 - 7 * 2, which is four 416-7214. That will give you the J component and as always with determinants, we change the sign of this middle term. And finally cross out the row and column with a K in. We want 4 * 5. Which is 20. Subtract 3 * 2 which is 6. So we've got 20 subtract 6 and that will give you the cake component of the answer and just to tidy it all up, 12 subtract 35 will give you minus 23 I. 16 subtract 14 is 2 with the minus sign. There is minus 2 J. And 20 subtract 6 is 14K and that's the answer we got before this method that we've used to expand the determinant is called expansion along the first row and those of you that know determinants will find this very straightforward and those of you that haven't. All you need to know about determinants is what we've just done here. We now want to look at some applications of the vector product. And the first application I want to introduce you to is how to find a vector which is perpendicular to two given vectors. And the easiest way to illustrate this is by using an example. So let's suppose are two given vectors. Are these supposing the vector A is I plus 3J minus 2K? The second given vector B is 5. I minus 3K. Now you remember when we defined the vector product of the two of two vectors A&B, the direction of the result was perpendicular both to a. And to be, and indeed the plane which contains A and be. So if we want to find a vector which is perpendicular to these two given vectors or we have to do is find the vector product across be. So we do that a cross B and again will use the determinants, firstrow being the unit vectors IJ&K. The 2nd row being the components of A the first vector, which are 1, three and minus 2. And the last drove being the components of the second vector, which is B and those components are 5 zero because there are no JS in here. And minus three from the case. So let's workout this determinant. So when we work it out, we cross out the row and a column containing I. And we calculate the products of these entries that are left three times, minus three subtract minus two times. Not. So we want three times minus three, which is minus 9 subtract minus two times. Not. So we're subtracting zero, and that will give you the I component of the result. Then we want to move to the J component, cross out the role in the column with the Jays in, and again evaluate the product's one times. Minus three is minus 3, subtract minus 2 * 5, so we're subtracting minus 10, which is the same as adding 10. And you remember we change the sign of the middle term. Finally, last of all the K component. Cross out the row in the column with a K in. And the products that are left are 1 * 0, which is 0. Subtract 3 five 15, so it's 0 subtract 15. And if we tidy it, what we've got, they'll be minus nine I. This 10 subtract 3 is 7 so it will be minus Seven J. Minus 15. And this vector that we've found here is perpendicular to both A and to be. And we've solved the problem. Sometimes you asked to find a unit vector which is perpendicular to two given vectors. So if this problem had been find a unit vector perpendicular to a into B, or we have to do is calculate a Crosby and then find a unit vector in this direction. Now to find a unit vector in the direction of any given vector or we have to do is divide the vector by its modulus. It's a general result, the unit vector in the direction of any vector is found by taking the vector and dividing it by its modulus. So if we want a unit vector in the direction of a cross be. All we have to do is divide minus nine. I minus Seven J minus 15 K by the modulus of that vector and the modulus of this vector is found by finding the square root of minus 9 squared. Add 2 - 7 squared. Added 2 - 15 squared and if you do that calculation you'll find out that this number at the bottom is the square root of 355, so I can write my unit vector in this form one over the square root of 355. Minus 9 - 7 J minus 15 K, so that's now a unit vector. Which is perpendicular to the two given factors. A second application that I want to introduce you to is a geometrical one. We can use the vector product to calculate the area of a parallelogram. Let's suppose we have a parallelogram. And let me denote. A vector along one of the sides as be. And along this side here as see. And this angle in the parallelogram here is theater. Now this is a parallelogram so that sides parallel to this side and this sides parallel to that side. The area of a parallelogram is the length of the base. Times the perpendicular height. Let me put this perpendicular height in here. So there's a perpendicular and let's call this perpendicular height age. Now if we focus our attention on this right angle triangle in here, we can do a bit of trigonometry in here to calculate this perpendicular height H. In particular, if we find the sign of Theta, remember that the sign is the opposite over the hypotenuse. We can write down that sign Theta. Is the opposite side, which is H, the perpendicular height divided by the hypotenuse. That's the length of this side. And the length of this side is just the length of this vector, see, so that's the modulus of C. If we rearrange this formula, we can get a formula for the perpendicular height age and we can write it as modulus of C sign theater. We're now in a position to write down the area of the parallelogram. The area of the parallelogram is the length of the base times the perpendicular height and the length of the base is just the modulus of this vector. Be now it's just modulus of be. What's the length of the base when we multiply it by the perpendicular height, the perpendicular height is the modulus of C sign theater. If you look at what we've got here now. We've got the modulus of a vector, the modulus of another vector times the sign of the angle in between the two vectors, and this is just the definition of the modulus of the vector product be crossy, so that is just the modulus of the cross, see. So this is an important result. If we ever want to find the area of a parallelogram and we know that two of the sides are represented by vector being vector C or we have to do to find the area of the parallelogram is find the vector product be crossy and take the modulus of the answer that we get? That's a very straightforward way of finding the area of a parallelogram. The final application I want to look at is to finding the volume of the parallelepiped now parallelepiped such as that shown here is A6 faced solid where each of the faces is a parallelogram. And the opposite faces are identical parallelograms. Now, if we want the volume of this parallelepiped, we want to find the area of the base and multiply it by the perpendicular height. So let's put that in. Extend the top here. So that we can see what the perpendicular height is. And let's call that perpendicular height H. Now in fact, this perpendicular height is the component of a which is in the direction which is normal to the base. Now we've seen that a direction which is normal to the base can be obtained by finding the vector product be crossy. Remember when we find be cross C we get a vector which is normal, so the component of a in the direction which is normal to the base is given by a dotted with a unit vector in this perpendicular direction, which is a unit vector in the direction be across see so this formula. Will give us this perpendicular height. Now we want to multiply this perpendicular height by the area of the base. We've already seen that the base area in the previous application was just the modulus of be cross, see. So In other words, the volume of the parallelepiped, let's call that V is going to be a dot B Cross SI unit vector multiplied by the modulus of be cross, see. Now remember when you find the unit vector, one way of doing it is to find the cross product and divide by the length. So you'll see when we recognize it in that form, you'll see there's a bee crossy modulus here, Annabi, Crossy modulus here, and those will cancel. And what we're left with is that if we want to find the volume of the parallelepiped, all we have to do is evaluate the dot product of A with the vector be cross. See now that may or may not give you a positive or negative answer. So what we do normally is say that if we want the volume we want the modulus of a dotted with be Cross C and that is the formula for the volume of the parallelepiped. We look at one final example which illustrates the previous formula that the volume of the parallelepiped is given by the modulus of a dotted with the vector product of BNC. Let's suppose that a is the vector 3I Plus 2J Plus K. B is the vector, two I plus J Plus K. And see is the vector I plus 2J plus 4K. So those three vectors represent the three edges of the parallelepiped. OK, first of all, to apply this formula we want to workout the vector product of B&C. And I'll use the determinants again, be crossy first row. As always I JK. The 2nd row we want the three components of the first vector, which are 211. And then the last row we want the three components of the second vector, which are 1, two and four. And then we proceed to evaluate the determinant crossing out the row and column with the eyes in will get ones, four is 4. Subtract ones too is 2, four subtract 2 is 2, and that will give you the number of eyes in the solution to I. Then we come to the Jays. We want 248 subtract 1 is one is one, so it's 8. Subtract 1 is 7 and then we change the signs of the middle term. So we'll get minus Seven J and finally for the case two tubes of 4 - 1 is one is one 4 - 1 is 3. So will end up with plus 3. So that's the vector product of BNC. And we now need to find the scalar product the dot product of A with this result that we've just obtained. And I'll use the column vector notation to do this because it's easy to identify the terms we need to multiply together the vector a as a column vector is 321. We're going to dot it with be cross, see which we've just found is 2 - 7 and three. And you'll remember that to calculate this dot product we multiply corresponding components together and then add up the results. So we want 3 twos at 6. Two times minus 7 - 14 and 1. Three is 3. So we've got 9 subtract 14, which is minus 5. Finally, to find the volume of the parallelepiped, we find the modulus of this answer, so V will be simply 5, so five is its volume. And that's an application of both scalar product and the vector product.