College Algebra: Multiplying Matrices by a Scalar
by Thinkwell
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About this Lesson
- Type: Video Tutorial
- Length: 3:12
- Media: Video/mp4
- Posted: 06/26/2009
- Use: Watch Online & Download
- Download: MP4 (iPod compatible)
- Size: 48 MB
This lesson is part of the series: College Algebra: Matrices
Taught by Professor Edward Burger, this lesson was selected from a broader, comprehensive course, College Algebra. This course and others are available from Thinkwell, Inc. The full course can be found athttp://www.thinkwell.com/student/product/collegealgebra. The full course covers equations and inequalities, relations and functions, polynomial and rational functions, exponential and logarithmic functions, systems of equations, conic sections and a variety of other AP algebra, advanced algebra and Algebra II topics.
Edward Burger, Professor of Mathematics at Williams College, earned his Ph.D. at the University of Texas at Austin, having graduated summa cum laude with distinction in mathematics from Connecticut College.
He has also taught at UT-Austin and the University of Colorado at Boulder, and he served as a fellow at the University of Waterloo in Canada and at Macquarie University in Australia. Prof. Burger has won many awards, including the 2001 Haimo Award for Distinguished Teaching of Mathematics, the 2004 Chauvenet Prize, and the 2006 Lester R. Ford Award, all from the Mathematical Association of America. In 2006, Reader's Digest named him in the "100 Best of America".
Prof. Burger is the author of over 50 articles, videos, and books, including the trade book, Coincidences, Chaos, and All That Math Jazz: Making Light of Weighty Ideas and of the textbook The Heart of Mathematics: An Invitation to Effective Thinking. He also speaks frequently to professional and public audiences, referees professional journals, and publishes articles in leading math journals, including The Journal of Number Theory and American Mathematical Monthly. His areas of specialty include number theory, Diophantine approximation, p-adic analysis, the geometry of numbers, and the theory of continued fractions.
Prof. Burger's unique sense of humor and his teaching expertise combine to make him the ideal presenter of Thinkwell's entertaining and informative video lectures.
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So we now know how to add and subtract matrices that are the exact same shape, that have the same dimensions. So that's not a big deal. Now in fact, let me just tell you a little more language. So these are examples of matrices. This is a 3 by 2, for example. This is a 3 by 1, and so on. Now the numbers al1 are just naked numbers by themselves, like a poor little 5 or a poor little 4. These are now referred to sometimes as scalars, just single elements, just a number rather than a whole list or an array of numbers. These are sometimes called scalars. So 1 thing we can do with matrices is to actually multiply them by scalars, and again, not a surprising outcome.
For example, if I take this matrix, which is a 3 by 1, and multiply it by 5, what do you think I would end up getting? Well I'd get another 3 by 1 matrix. And you'll never guess the answer. Yes, that's right. I take each of these elements and multiply it by 5. So I'd see, in this case, what would the answer be? Well this may just shock your world, but I would see 5, 15, -5, not a big deal. So scalar multiplication of a matrix by a scalar is just, literally, to take that scalar and multiply every single element by that scalar. So for example, this would give you another 3 by 2 matrix. And you would get 4, 16, 0, 28, -4 and 8. So again, it would be the exact same size, same shape. So scalar multiplication is not a big deal.
Just to illustrate that, in fact, we can combine these ideas together. I could take 2 people like this and ask for this operation. Let's take 5 times this, and add it to 4 times this. Put a plus sign here. So now I'm asking for matrix addition and scalar multiplication at the same time. This is getting tricky now. Well we can only add matrices that are the same shape. But these are the same shape, so we're okay there. And everything has to be multiplied by 5. And then I add it to what we get when we multiply this by 4. So in this place, I'd have a 5 and a 4. And when I combine them, I see a 9. Here I see a 15 and 8, and so that would be a 23. Here I see a 10 and a -4, so that's a 6. Here I see a 5 and a 0, so that's just 5. Here I see a 20 and a 12, so that's a 32. And here I see a 0 and a 20, so I get a 20. So again, scalar multiplication is not a big deal. You just literally multiply it through everywhere. And then you have another matrix of the same shape. Do the same thing here. And then you can combine or subtract or do whatever you want. So multiplication by a scalar, scalar multiplication, is not an issue.
Now multiplying 2 matrices together, you'll see.
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