Basic Linear Functions - Math Antics - By Mathantics
Transcript
00:03 | Uh huh . Hi , I'm rob . Welcome to | |
00:07 | Math antics . In this lesson , we're going to | |
00:09 | learn the basics of linear functions , which are really | |
00:12 | common in algebra . We're going to jump right in | |
00:15 | because there's a lot to cover in this video . | |
00:17 | But before we do , if you aren't already familiar | |
00:20 | with topics like graphene and functions , I recommend watching | |
00:23 | our videos about them before continuing on . Okay , | |
00:27 | so the best way to learn about linear functions is | |
00:29 | to start with one of the most basic linear functions | |
00:32 | of all Y equals X . That's such a simple | |
00:35 | equation that you might be kind of puzzled by it | |
00:38 | at first . But remember the Y variable is simply | |
00:41 | the output of the function and the X variable is | |
00:44 | the input . So all this equation is telling us | |
00:47 | is that the input is exactly the same as the | |
00:49 | output effects is one , then why is also one | |
00:53 | and effects is too then why is also too no | |
00:56 | matter what value you put into the function , you | |
00:58 | get the exact same value out . That might seem | |
01:01 | kind of pointless . But if we grab that function | |
01:04 | on the coordinate plain , you'll see that it forms | |
01:06 | a diagonal line that passes through the origin and splits | |
01:09 | quadrants one and three exactly in half . Notice that | |
01:13 | for any point along the line , the X coordinate | |
01:16 | and the Y coordinate are the same . So Y | |
01:19 | equals X is a very simple linear function . Oh | |
01:22 | , and remember we could use either the variable Y | |
01:25 | or the function notation ffx interchangeably . But we're going | |
01:29 | to use Why in this video to keep it simple | |
01:32 | . Now that we've got that basic case covered , | |
01:34 | let's look at a slightly more complicated and much more | |
01:37 | versatile linear function Y equals mx . This looks similar | |
01:42 | to the equation Y equals X . But now the | |
01:44 | input variable X is being multiplied by a new variable | |
01:47 | called M . And by choosing different values for em | |
01:51 | , we can make as many different linear functions as | |
01:53 | we want . In fact , if we choose M | |
01:56 | equals one , that would give us Y equals one | |
01:59 | X . Which is just the same function as Y | |
02:01 | equals X . Because multiplying by one doesn't change the | |
02:04 | input value X . But what if we picked a | |
02:07 | different value for M ? Like M equals two . | |
02:10 | That would give us the equation , Y equals two | |
02:13 | X . And if we make a function table for | |
02:15 | that equation and then graph it on the coordinate plain | |
02:18 | , we get a line that looks like this for | |
02:20 | every input value of X . The output Y is | |
02:23 | doubled Despite their differences the lines , Y equals two | |
02:28 | X and Y equals one X . Have something in | |
02:30 | common . They both passed through the origin point of | |
02:33 | the cornet plane 00 Because no matter what value we | |
02:37 | pick for em , if the value X is zero | |
02:40 | , the output , why will also be zero ? | |
02:42 | Since anything multiplied by zero is zero . Okay , | |
02:46 | what about if we let them equal three instead , | |
02:49 | that would give us this function table . And this | |
02:51 | line has our graph for every input value of X | |
02:54 | . The output , Y is tripled but it still | |
02:57 | passes through 00 . Do you notice how each time | |
03:00 | we pick a bigger number for M . R . | |
03:02 | Line is getting steeper . Imagine that the line represents | |
03:05 | the site of a mountain or hill that you're climbing | |
03:08 | . Why equals one X would be a steep climb | |
03:11 | . But why equals two . X is steeper and | |
03:14 | Y equals three . X . Is even steeper than | |
03:16 | that in math . The steepness of these lines is | |
03:20 | called their slope . As we choose , bigger and | |
03:22 | bigger values for m the slope of the line increases | |
03:26 | . Did you say slopes ? I love the slopes | |
03:28 | , man . Oh , you should have seen the | |
03:30 | massive air . I just caught off the pipe . | |
03:32 | It was beautiful . I was doing this hard way | |
03:34 | . Front side 1 80 . Oh , man . | |
03:36 | Oh , so awesome . What's that ? All the | |
03:40 | slopes are calling me . I gotta go shred some | |
03:42 | more powder . That sounds pretty impressive . But getting | |
03:45 | back to mathematical slope , if we decided to let | |
03:49 | em equal tin , that would result in a really | |
03:51 | steep line like this . And if m equals 100 | |
03:55 | the line slope is so steep that it almost looks | |
03:57 | vertical and it's hard to tell apart from the y | |
03:59 | axis of the coordinate plain . But we can never | |
04:02 | get a truly vertical line with this equation because there's | |
04:05 | no biggest number . The best we can do is | |
04:08 | keep picking bigger and bigger numbers for him and say | |
04:11 | that the slope is approaching infinity as we do that | |
04:14 | and that's fine because a vertical line doesn't qualify as | |
04:17 | a function anyway . So at the y axis we | |
04:20 | seem to have hit a limit . But what if | |
04:22 | we want to make lines that are less steep than | |
04:24 | why equals one X . To do that ? We're | |
04:26 | gonna need to choose some values for em that are | |
04:28 | less than one . Let's start by letting them equal | |
04:31 | 1/2 or 0.5 in decimal form . If we make | |
04:35 | a function table for y equals one half X . | |
04:38 | And graph the results , this is what our line | |
04:40 | would look like , yep , that is less steep | |
04:43 | , Let's take it one step further and let them | |
04:45 | equal 1/4 or 0.25 . The function table and graph | |
04:50 | for that equation would look like this . That slope | |
04:52 | is even less as we choose , smaller values for | |
04:55 | M R slope is decreasing and if we keep on | |
04:58 | picking smaller and smaller values for him , like M | |
05:01 | equals 1/10 or M equals 1 100 . You can | |
05:04 | see that our line is looking more and more like | |
05:06 | a completely flat line and it's getting harder to tell | |
05:09 | the difference between it and the horizontal X . Axis | |
05:13 | . Now you might be wondering can we make a | |
05:15 | line that's perfectly horizontal ? Yes . Unlike the case | |
05:19 | when our line was getting steeper and steeper but we | |
05:21 | couldn't ever get it to be a perfectly vertical line | |
05:24 | . We can make our line perfectly horizontal simply by | |
05:27 | choosing M equals zero . Doing that gives us the | |
05:31 | function Y equals zero . Which is just about the | |
05:34 | most boring function you could think of . But it's | |
05:36 | helpful to see because it shows us that a perfectly | |
05:38 | horizontal line has no steepness or a slope of zero | |
05:43 | . It would be just like walking along perfectly flat | |
05:45 | ground . Okay , So when are linear function Y | |
05:49 | equals mx . The variable M . Is the slope | |
05:52 | of the function ? If we start with M equals | |
05:55 | zero and then gradually increase the value of M . | |
05:58 | R line slope gets steeper and steeper it approaches a | |
06:01 | vertical line but it never quite gets there because we | |
06:04 | can't ever really get to infinity . There's always a | |
06:07 | number that's just a little bit bigger . As you | |
06:10 | can see the function Y equals . Mx . Can | |
06:12 | make a lot of different lines but wait , there's | |
06:15 | more . Don't forget about negative numbers . What would | |
06:18 | happen if instead of picking M equals one , we | |
06:21 | pick em equals negative one . If we make a | |
06:24 | function table and graph for that case we end up | |
06:27 | with a line that splits quadrants two and four exactly | |
06:29 | in half it has a slope that's similar in magnitude | |
06:33 | to Y equals one X . But as you move | |
06:35 | from left to right , it's going downhill instead of | |
06:37 | uphill . The slope is negative one basically all of | |
06:41 | the negative values of them give us lines that are | |
06:44 | just mirror images of the lines we get from positive | |
06:47 | values of him . This is M equals one . | |
06:50 | This is M equals negative one . This is M | |
06:53 | equals to this is M equals negative two . This | |
06:56 | is M equals one half . This is M equals | |
06:59 | negative one half . See the pattern . All of | |
07:02 | these possible lines have a positive slope and all of | |
07:04 | these possible lines have a negative slope . And when | |
07:07 | we consider all possible values of M , you can | |
07:10 | see that the equation y equals MX can describe any | |
07:13 | linear function that passes through the origin of the graph | |
07:17 | at 00 . But what if we don't want to | |
07:19 | be limited to lines that pass through the origin of | |
07:21 | the coordinate plain ? No problem . All we have | |
07:24 | to do is add something to this very simple linear | |
07:27 | equation . And I mean literally add something . We're | |
07:30 | just going to add a variable called B to the | |
07:32 | end of our equation , which will give us Y | |
07:35 | equals mx plus B to see what effect this new | |
07:39 | added variable has . Let's set our in value back | |
07:41 | to one and keep it there while we just try | |
07:44 | out different values for B . And we'll also leave | |
07:47 | the graph of Y equals one X . On the | |
07:49 | coordinate plain as a reference to see how it compares | |
07:52 | to our new lines that have the values . Let's | |
07:55 | keep things simple . And start with B equals one | |
07:58 | . That gives us the equation , Y equals one | |
08:01 | X plus one . And if we make a function | |
08:03 | table and graph it , this is the line we | |
08:05 | get notice that it's parallel to the reference line and | |
08:09 | that makes sense because in both equations Y equals one | |
08:12 | , X and Y equals one . X plus one | |
08:15 | . M equals one . So the slope is the | |
08:17 | same for both lines . What's different ? Is that | |
08:20 | the value we chose for ? Be positive one , | |
08:22 | shifted the entire line up on the coordinate plain by | |
08:25 | one unit . Now the line doesn't pass through zero | |
08:28 | on the y axis , it passes through positive one | |
08:31 | instead . Okay . What will happen if we choose | |
08:34 | B equals positive too ? That gives us the equation | |
08:38 | Y equals one , X plus two . And its | |
08:41 | graph looks like this . It's been shifted up two | |
08:44 | units and now passes through the Y axis at positive | |
08:46 | two . And if we pick B equals three , | |
08:49 | it would shift the line to intercept the Y axis | |
08:51 | at Y equals three . The bigger the value for | |
08:54 | B , the farther the lion has shifted up . | |
08:57 | But what goes up must come down . Can you | |
09:00 | think of a way to do that to get the | |
09:02 | reference line to shift down instead , yep . Let's | |
09:05 | try using negative numbers for B . Remember adding a | |
09:08 | negative is the same as attracting . If we choose | |
09:12 | B equals negative one , we get y equals one | |
09:15 | . X plus negative one , which is the same | |
09:17 | as Y equals one , X minus one . And | |
09:20 | sure enough that shifts the line down so it crosses | |
09:23 | the y axis at negative one . And if we | |
09:25 | choose the equals negative two it would shift the line | |
09:28 | down so that it crosses the y axis at negative | |
09:30 | two . So do you see what the variable B | |
09:33 | does ? It determines exactly where the line will intercept | |
09:36 | the y axis . It does that because whenever X | |
09:39 | equals zero , which happens only at the y axis | |
09:43 | , the mx term will be zero and we'll be | |
09:45 | left with only be , so when X equals zero | |
09:49 | , why will just equal B . Because of that | |
09:52 | B is called the Y intercept , and as we | |
09:55 | saw earlier , M is called the slope of the | |
09:58 | line . And that's why the equation Y equals mx | |
10:01 | plus B is called the slope intercept form of line | |
10:05 | . The two parameters M . And be determined the | |
10:08 | Lions slope . And it's why intercept . And with | |
10:11 | this simple linear equation , you can describe any possible | |
10:15 | linear function on the coordinate plain . But you might | |
10:18 | be wondering if that's really true . I mean , | |
10:20 | don't we also need to be able to shift the | |
10:22 | line side to side , nope . And here's why | |
10:26 | , let's say you want to make this line that | |
10:28 | appears to be shifted to the left of the y | |
10:30 | axis . Well if we zoom out just a little | |
10:32 | bit , you'll see that we could get the exact | |
10:34 | same line by shifting our parallel reference line up on | |
10:38 | the y axis . Instead this works because the lines | |
10:41 | are diagonal and they continue on forever in either direction | |
10:44 | . So moving them up and down is equivalent to | |
10:47 | moving them left and right . You can grab any | |
10:49 | two D linear function with just two parameters . The | |
10:53 | multiplied variable M . To rotate the line and the | |
10:56 | added variable B to shift the line . And that's | |
11:00 | why the equation Y equals Mx plus B is so | |
11:03 | important . It's really all you need . But of | |
11:05 | course there's always ways to make things more complicated and | |
11:09 | you'll probably encounter linear equations in a lot of different | |
11:12 | forms . But as long as the equations are truly | |
11:15 | linear functions , you can simplify them into this . | |
11:17 | Y equals mx plus B format . Okay , but | |
11:22 | how do you tell if you have a linear function | |
11:23 | if it's in a different form , will there be | |
11:26 | a linear function equations can only contain first order variables | |
11:30 | ? That means that the X and Y terms in | |
11:32 | the equation can't be squared or cubed or raised to | |
11:35 | any powers other than one . So these are all | |
11:39 | examples of linear equations , but these are not . | |
11:42 | And to see how you can rearrange any linear equation | |
11:45 | into the form Y equals mx plus B . Let's | |
11:49 | try to do that to the first equation on this | |
11:51 | list , X minus four equals two times the quantity | |
11:55 | y minus three . We're going to use what we | |
11:58 | learned in previous videos about combining like terms and rearranging | |
12:02 | equations . To get this into the Y equals mx | |
12:05 | plus B form . So we can easily tell what | |
12:07 | the slope and Y intercept would be . Let's see | |
12:10 | we want to get Y all by itself . So | |
12:12 | first we divide both sides by two on the right | |
12:15 | side , the two's cancel . And on the left | |
12:18 | side we have to distribute the division . So we | |
12:20 | get X over two minus 4/2 , which is the | |
12:24 | same as one half , x minus two . The | |
12:27 | next step to get why by itself is to add | |
12:30 | three to both sides on the right , the minus | |
12:32 | three and plus three , cancel . And on the | |
12:35 | left we have minus two plus three which is positive | |
12:39 | one . So the equation becomes one half X plus | |
12:43 | one equals Y or Y equals one half X plus | |
12:47 | one . Now it's in Y equals mx plus B | |
12:50 | form . So we know that the slope is one | |
12:52 | half and the y intercept is positive one . All | |
12:56 | right , so that's the basics of linear equations . | |
12:59 | It's really cool knowing that you can grab any possible | |
13:02 | linear function on the coordinate plain with the simple equation | |
13:05 | Y equals mx plus B . But the most important | |
13:08 | thing you can do to learn about linear functions is | |
13:11 | to practice by doing some exercise problems . That's the | |
13:14 | way to really learn math , as always . Thanks | |
13:16 | for watching Advantix and I'll see you next time learn | |
13:20 | more at math antics dot com . |
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