Lesson Addition, Subtraction and Multiplication by a number of vectors in a coordinate plane

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Addition, subtraction and multiplication by a number of vectors in a coordinate plane


In this lesson you will learn how to add,  subtract and multiply vectors by numbers using component form of vectors in a coordinate plane.

The lesson is the continuation of the lessons  Vectors in a plane  and  Vectors in a coordinate plane  under the current topic in this site.

Recall that in a coordinate plane each vector  u  can be presented in the component form  u = (a,b),  where the real numbers  a  and  b  are the projections of the vector  u
to the coordinate axes  x  and  y  respectively  (see the lesson  Vectors in a coordinate plane).

Adding vectors in a coordinate plane


Let  PQ = u = (a,b)  and  QR = v = (c,d)  be the two vectors in the coordinate plane  (Figure 1).
P = (x1,y1)   and  Q = (x2,y2)  are the initial point and the terminal point of the vector  u.  Real numbers  a = x2-x1  and  b = y2-y1  are  x-  and  y- projections of the vector  PQ.
Q   and  R = (x3,y3)  are the initial point and the terminal point of the vector  v.  Real numbers  c = x3-x2  and  d = y3-y2  are  x-  and  y- projections of the vector  QR.
We are going to calculate the sum  u+v  of these vectors.
The procedure of adding vectors in a plane is described in the lesson  Vectors in a plane  (the  triangle rule  or the  parallelogram rule).

We suppose that the terminal point of the vector  u  coincides with the initial point of the vector  v  as it is shown in  Figure 1.  If it is not so,  we can make the parallel translation of the vector  v
to superpose its initial point onto the terminal point of the vector  u,  according to the procedure adding vectors of the lesson  Vectors in a plane.


         Figure 1.  Adding vectors
          in a coordinate plane (1)  

According to the  triangle rule  of adding vectors,  the sum of the vectors  PQ  and  QR  is the third side  PR  of the triangle  PQR  with the initial point  P  and the terminal point  R.  The  x-projection of the vector  PR  is  x3-x1.  It is clear that  x3-x1 = (x3-x2) + (x2-x1).  In other words,  the x-projection of the vector  QR  is equal to  a+c.
Similarly, the  y-projection of the vector  PR  is  y3-y1.  Again,  it is clear that  y3-y1 = (y3-y2) + (y2-y1).  In other words,  the y-projection of the vector  QR  is equal to  b+d.
Thus the vector  u+v  has the  x-projection equal to  a+c  and the  y-projection equal to  b+d.  In the shortened component form,  this means that  (a,b) + (c,d) = (a+c,b+d).

This is the formula for adding vectors in a coordinate plane:
    (a,b) + (c,d) = (a+c,b+d)    
One can derive this rule geometrically, too, by playing with the projection segments in  x- and  y- axes that are shown in the  Figure 1  in green and blue colors.  The geometric proof is based on the fact that the co-named projection segments of the vectors  u  and  v  join each other.  Such a proof should consider different dispositions of the vectors  u  and  v  that create positive and negatives values of the projections.  The algebraic proof provided above takes into account all these details automatically.


Example 1.  Find the sum of the vectors  (3,5)  and  (6,2)  in the coordinate plane.

Solution.  We have  (3,5) + (6,2) = (3+6, 5+2) = (9,7),  according to the rule of adding vectors.

Answer.  The sum of the vectors  (3,5)  and  (6,2)  in the coordinate plane is the vector  (9,7).
                This  Example  is shown in  Figure 1.


There is a special vector  z = (0,0)  in a coordinate plane.  If you add this vector to any other vector  u = (a,b),  it will not change the vector  u:  u+z = (a,b) + (0,0) = (a,b) = u,  according to the rule of adding vectors in a coordinate plane.  So,  regarding addition vectors in a coordinate plane,  the vector  z = (0,0)  plays the role of the zero vector.  This vector has zero projections in x- and y- axes,  which means that its initial and terminal points coincide.  This is consisted with the definition of the zero vector of the lesson  Vectors in a plane.  The zero vector in a coordinate plane is denoted usually as  0:  0 = (0,0).

For any given vector  u = (a,b)  we can consider the vector  v = (-a,-b).  If you add these two vectors using the formula for adding vectors in a coordinate plane,  you will get the zero vector:  u+v = (a,b) + (-a,-b) = (a+(-a), b+(-b)) = (0,0) = 0.  The vector  v = (-a,-b)  is called the  opposite vector  to the given vector  u = (a,b)  and is denoted as  -u.


Now, recall these remarkable properties of adding vectors from the lesson  Vectors in a plane:

    1)  u + v = v + u  for any two vectors  u  and  v  in a plane  (commutativity property);

    2)  (u + v) + w = u + (v + w)  for any three vectors  u,  v  and  w  in a plane  (associativity property);

    3)  u + 0 = u  (existing and the key property of the zero vector);

    4)  u + (-u) = 0  (existing and the key property of the opposite vector).

Via the adding formula for vectors in a coordinate plane,  these properties are hold for vectors in a coordinate plane too,  and they are consistent with the similar properties of real numbers.

Subtracting vectors in a coordinate plane


Let  PQ = u = (a,b)  and  PR = v = (c,d)  be the two vectors in the coordinate plane  (Figure 2).
P = (x1,y1)   and  Q = (x2,y2)  are the initial point and the terminal point of the vector  u.  Real numbers  a = x2-x1  and  b = y2-y1  are  x-  and  y- projections of the vector  PQ.
P   and  R = (x3,y3)  are the initial point and the terminal point of the vector  v.  Real numbers  c = x3-x1  and  d = y3-y1  are  x-  and  y- projections of the vector  PR.
We are going to calculate the difference  u-v  of these vectors.
The procedure of subtracting vectors in a plane is described in the lesson  Vectors in a plane.

We suppose that the initial point of the vector  u  coincides with the initial point of the vector  v  as it is shown in  Figure 2.  If it is not so,  we can make the parallel translation of the vector  v  to superpose its initial point onto the initial point of the vector  u.


     Figure 2.  Subtracting vectors
              in a coordinate plane  

According to the procedure of subtracting vectors of the lesson  Vectors in a plane,  the difference of the vectors  PQ  and  PR  is the third side  RQ  of the triangle  PQR  with the initial point  R  and the terminal point  Q.
The  x-projection of the vector  RQ  is  x2-x3.  It is clear that  x2-x3 = (x2-x1) - (x3-x1).  Hence,  the x-projection of the vector  RQ  is equal to  a-c.
Similarly, the  y-projection of the vector  RQ  is  y2-y3.  It is clear that  y2-y3 = (y2-y1) - (y3-y1).  Hence,  the y-projection of the vector  RQ  is equal to  b-d.
Thus the vector  u-v  has the  x-projection equal to  a-c  and the  y-projection equal to  b-d.  In the shortened component form,  this means that  (a,b) - (c,d) = (a-c,b-d).

This is the formula for subtracting vectors in a coordinate plane:
    (a,b) - (c,d) = (a-c,b-d)    

Example 2.  Find the difference of the vectors  (3,5)  and  (9,2)  in the coordinate plane.

Solution.  We have  (3,5) - (9,2) = (3-9, 5-2) = (-6,3),  according to the rule of adding vectors.

Answer.  The difference of the vectors  (3,5)  and  (9,2)  in the coordinate plane is the vector  (-6,3).
                This  Example  is shown in  Figure 2.

Product of a vector by a real number in a coordinate plane


Let  OP = u = (a,b)  be the vector in the coordinate plane  (Figure 3)  and  r  be a real number.

As defined in the lesson  Vectors in a plane,  the product of the vector  u  by the real number  r  is the vector  ru  whose length is equal to  |ru| = |r|*|u|  and whose direction coincides with that of the vector  u  if r >= 0  or is opposite to the direction of the vector  u  if r < 0.


   Figure 3.  Product of the vector
by the real number in a coordinate plane  

Let us consider the vector  v = (ra,rb)  and prove that it is equal to  ru:  (ra,rb) = ru.

The length of the vector  u  is equal to  sqrt%28a%5E2%2Bb%5E2%29.  Hence, the length of the vector  v  is equal to  sqrt%28%28ra%29%5E2%2B%28rb%29%5E2%29 = r%2Asqrt%28a%5E2%2Bb%5E2%29,  i.e.  is  r  times the length of the vector  u.

Next, if the real number  r  is positive then the vector  v = (ra,rb)  has the same direction as the vector  u.  Indeed, the ratio  rb%2Fra  is the same as the ratio  b%2Fa,  hence,  the vector  v  lies in the same straight line as the vector  u.  Since the components  ra  and  rb  have the same signs as the components  a  and  b  respectively,  the vector  v  is co-directed with the vector  u.  Therefore,  if the real number  r  is positive then the vector  v = (ra,rb)  satisfied the definition of the product the vector  u  by the number  r.
If the real number  r  is negative then the vector  v = (ra,rb)  still lies in the same straight line as the vector  u, but has the opposite direction as its components  ra  and  rb  have opposite signs to that of the vector  u.  In this case,  the vector  v = (ra,rb)  satisfies again the definition of the product the vector  u  by the number  r. Thus  ru = (ra,rb).

This is the formula for product a vector by a real number in a coordinate plane:
    r*(a,b) = (ra,rb)    

Example 3.  Find the product of the vector  (5,4)  by the real number  2  in the coordinate plane.

Solution.  We have  2*(5,4) = (2*5, 2*4) = (10,8),  according to the rule of product a vector by a number.

Answer.  The product of the vector  (5,4)  by the real number 2 in the coordinate plane is the vector  (10,8).
                This  Example  is shown in  Figure 3.


The operation of product of a vector by a real number in a coordinate plane has the following properties.

1)  r(u + v) = ru + rv  for any vectors  u  and  v  and for any real number  r  (distributivity of product with respect to addition of vectors).

    Indeed, if  u = (a,b)  and  v = (c,d)  then  r(u + v) = r*((a,b) + (c,d)) = r*(a+c,b+d) = (r*(a+c),r*(b+d)) = (ra+rc,rb+rd) = (ra,rb) + (rc,rd) = r(a,b) + r(c,d) = ru + rv.


2)  (r+s)u = ru + su  for any vector  u  and for any real numbers  r  and  s  (distributivity of product with respect to addition of constants).

    Indeed, if  u = (a,b)  then  (r+s)u = (r+s)*(a,b) = ((r+s)*a,(r+s)*b) = (r*a+s*a,r*b+s*b) = (r*a,r*b) + (s*a,s*b) = r*(a,b) + s*(c,d) = ru + su.


3)  r(sa) = (rs)a  for any vector  a  and for any real numbers  r  and  s.


4)  1a = a  for any vector  a  (multiplication by unity).

Summary


1.  If  (a,b)  and  (c,d)  are the vectors in the coordinate plane written in the shortened component form,  then the sum of these vectors is  (a+c,b+d).
     This is the  formula for adding vectors in a coordinate plane:
    (a,b) + (c,d) = (a+c,b+d)    
     Here  a  and  b  are  x- and  y- projections of the first vector  (a,b),  while  c  and  d  are  x- and  y- projections of the second vector  (c,d).


2.  If  (a,b)  and  (c,d)  are the vectors in the coordinate plane written in the shortened component form,  then the difference of these vectors is  (a-c,b-d).
     This is the  formula for subtracting vectors in a coordinate plane:
    (a,b) - (c,d) = (a-c,b-d)    
     Here  a  and  b  are  x- and  y- projections of the first vector  (a,b),  while  c  and  d  are  x- and  y- projections of the second vector  (c,d).


3.  If  (a,b)  is the vector in the coordinate plane written in the shortened component form,  then the product of this vector by a real number  r  is  (ra,rb).
     This is the  formula for product a vector by a number in a coordinate plane:
    r*(a,b) = (ra,rb)    
     Here  a  and  b  are  x- and  y- projections of the vector  (a,b).

4.  The set of vectors as geometric objects defined in the lesson  Vectors in a plane  and the set of vectors in coordinate plane written in the component form as defined in the
     lesson  Vectors in a coordinate plane  are in one-to-one correspondence:  the vector as the geometric object corresponds to the pair of its projections to  x-  and  y- axes.

     This correspondence is consisted with the operations adding and subtracting vectors, as well as multiplying vectors by numbers.


My introductory lessons on vectors in this site are
    - Vectors in a plane
    - Sum of vectors that are coherently oriented sides of a convex closed polygon
    - Sum of vectors that are coherently oriented sides of an unclosed polygon
    - Sum of vectors that connect the center of a parallelogram with its vertices
    - Vectors in a coordinate plane
    - Addition, Subtraction and Multiplication by a number of vectors in a coordinate plane               (this lesson)
    - Summing vectors that are coherently oriented sides of a convex closed polygon
    - Summing vectors that are coherently oriented sides of an unclosed polygon
    - The Centroid of a triangle is the Intersection point of its medians
    - The Centroid of a parallelogram is the Intersection point of its diagonals
    - Sum of vectors connecting the center of mass of a triangle with its vertices
    - Sum of vectors connecting the center of mass of a quadrilateral with its vertices
    - Sum of vectors connecting the center of mass of a n-sided polygon with its vertices
    - Sum of vectors connecting the center of a regular n-sided polygon with its vertices
    - Solved problems on vectors in a plane
    - Solved problems on vectors in a coordinate plane
    - HOW TO find the length of the vector in a coordinate plane
    - Flying airplane, blowing wind, airspeed, groundspeed etc.

    - OVERVIEW of Introductory lessons on vectors in a plane

Use this file/link  ALGEBRA-II - YOUR ONLINE TEXTBOOK  to navigate over all topics and lessons of the online textbook  ALGEBRA-II.


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