course mth 164 ?????€e???c????y??assignment #015
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21:38:13 `q001. The equation a * x = c is solved by multiplying both sides by a^-1 to obtain a^-1 * a * x = a^-1 * c. Since a^-1 * a = 1 we get 1 * x = a^-1 * c or just x = a^-1 * c. Apply this method to the equation 3 x = 7.
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RESPONSE --> we put a 3 as a divisor and then get 3x=7 3 3 this yields x=7/3 or 1&1/3 confidence assessment: 3
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21:40:19 `q002. In the preceding problem a^-1 is the number we multiply by a to get the identity 1. In the specific example we had a = 3 so a^-1 = 1/3, with the result that a * a^-1 = 3 * 1/3 = 1. The number 1 is the identity for multiplication. It has the property that any number multiplied by 1 remains unchanged. That's the idea of an identity. For 2 x 2 matrices the identity is I = [ [1 0], [0 1] ], represented in Figure 63. Show that if we multiply any 2 x 2 matrix [ [ a b ] , [ c d ] ] by I = [ [1 0], [0 1] ] that matrix remains unchanged.
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RESPONSE --> this is because we get ad-bc or 1-0 which results in 1
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21:40:59 Multiplying with the identity matrix on the left we have: 1st row * 1st column = [ 1 0 ] [ a c ]` = a 1st row * 2nd column = [ 1 0 ] [ b d ]` = b 2nd row * 1st column = [ 0 1 ] [ a c ]` = c 2nd row * 2nd column = [ 0 1 ] [ b d ]` = d Placing these results in the appropriate positions in the product matrix we get the result indicated in the first equation of Figure 63. Multiplying with the identity matrix on the right we have: 1st row * 1st column = [ a b ] [ 1 0 ]` = a 1st row * 2nd column = [ a b ] [ 0 1 ]` = b 2nd row * 1st column = [ c d ] [ 1 0 ]` = c 2nd row * 2nd column = [ c d ] [ 0 1 ]` = d. Placing these results in the appropriate positions in the product matrix we get the result indicated in the second equation of Figure 63.
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RESPONSE --> ok self critique assessment: 2
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21:47:56 `q003. The inverse of a 2 x 2 matrix A is the matrix denoted by A^-1 which when multiplied by A gives the identity I = [ [1 0], [0 1] ]. It is tempting to conjecture that the inverse of the matrix A = [ [ a b ] , [ c d ] ] is the matrix [ [ a^-1 b^-1 ] , [ c^-1 d^-1 ] ] = [ [ 1/a 1/b ] , [ 1/c 1/d ] ]. Show that this matrix is in fact not generally equal to the inverse of A = [ [ a b ] , [ c d ] ].
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RESPONSE --> it is not generally equal to the inverse due to the fact that the unknowns can be equal on both sides and not result in the same determinate for each matrix because the identity properties are not the same
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21:50:18 If [ [ 1/a 1/b ] , [ 1/c 1/d ] ] is the inverse matrix then [ [ 1/a 1/b ] , [ 1/c 1/d ] ] * [ [ a b ] , [ c d ] ] = [ [ 1 0 ], [0 1] ]. However, for example, the first row of the first matrix and the first column of the second matrix is [ 1/a 1/b] [ a c ]` = 1 + c/b. Unless c = 0, which cannot be assumed, this is not the first-row first-column element 1 of the identity matrix and this alone shows that the product matrix cannot be the identity [ [ 1 0 ], [0 1] ]. Figure 71 shows that the result of this multiplication is [[ 1 + c/b, d/b + b/a], [c/d + a/c, 1 + b/c] ], which except in certain special cases is not equal to the identity matrix.
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RESPONSE --> the first part would not be on the left of fig 71 self critique assessment: 2
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22:07:48 `q004. The way to get the inverse of a 2 x 2 matrix [ [ a b ] , [ c d ] ] is to start with the augmented matrix [ [ a b | 1 0 ] , [ c d | 0 1 ] ], which consists of the matrix [ [ a b ] , [ c d ] ]augmented by the identity matrix. The augmented matrix is also pictured in Figure 76. To get the inverse of A we add multiples of rows to rows and multiply rows by constant numbers to get the form [ [1 0 | * * ], [0 1 | * * ] ], where the asterisks * indicate the numbers that result from the process. The matrix formed by these numbers is the inverse matrix we're looking for. To obtain the inverse of the matrix [ [2 3], [-4 1] ], for example, we start with the augmented matrix [ [ 2 3 | 1 0 ] , [ -4 1 | 0 1 ] ]. Write this matrix out so you can see how the rows compare. Then add the double of the first row to the second and replace the second row with this row. What is your result? Explain how your result got you closer to the desired form [ [1 0 | * * ], [0 1 | * * ] ], and indicate the sort of steps you plan to use in order to finish getting the desired form.
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RESPONSE --> i plan to continue untill i have the right side of the matrix at 1,0 and 0,1 which are opposite of eachother this will yield the results to the left side
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22:14:03 The first row is [ 2 3 | 1 0 ]; doubling the first row we get [ 4 6 | 2 0 ], which we add to the second row [ -4 1 | 0 1 ] to get [ 0 7 | 2 1 ]. Inserting this into the original matrix in place of the second row we get the matrix [ [ 2 3 | 1 0 ] , [ 0 7 | 2 1 ] ].
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RESPONSE --> ok self critique assessment: 2
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22:17:20 `q005. In the preceding problem you should have obtained the matrix [ [ 2 3 | 1 0 ] , [ 0 7 | 2 1 ] ]. Proceed by first multiplying the second row by 1/7 to get the second row into the desired form. Then do whatever is necessary to get the first row into the desired form.
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RESPONSE --> the desired from would be 7,0 *,* confidence assessment: 1
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22:22:42 Multiplying the second row by 1/7 we get the matrix [ [ 2 3 | 1 0 ] , [ 0 1 | 2/7 1/7 ] ]. We obtain the desired 0 in the second position of the first row by adding -3 * second row to the first row and replacing the first we get [ [ 2 0 | 1/7 -3/7 ] , [ 0 1 | 2/7 1/7 ] ]. We now want the 1 in the first position of the second row. 1/2 * first row accomplishes this and gives us the matrix [ [ 1 0 | 1/14 -3/14 ] , [ 0 1 | 2/7 1/7 ] ]. This matrix has the desired form, with the identity matrix formed by the first two columns. The last two columns therefore constitute the inverse of the original matrix. These steps are illustrated in Figure 92.
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RESPONSE --> ok misunderstood the problem i thought that the form was created by the one matrix not both combined i think i see what to do now self critique assessment: 2
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22:25:19 `q006. The matrix [ [ 1 0 | 1/14 -3/14 ] , [ 0 1 | 2/7 1/7 ] ] obtained by reducing the matrix [ [ 2 3 | 1 0 ] , [ -4 1 | 0 1 ] ] consists of the identity matrix augmented by the matrix [ [ 1/14 -3/14 ], [ 2/7 1/7] ]. This matrix is the inverse A^-1 = [ [ 1/14 -3/14 ], [ 2/7 1/7] ]. Show that this matrix is indeed the inverse by showing that A * A^-1 = I, the identity matrix, and also that A^-1 * A = I.
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RESPONSE --> this is the inverse of eachother because the values are all moved around so when multiplied they result in the same det. confidence assessment: 2
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22:25:25 Figure 96 shows both products, each obtained by the usual method of matrix multiplication (each row of the first matrix multiplied by each column of the second with the results positioned as usual in the product matrix). We see that both product give us the identity matrix.
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RESPONSE --> self critique assessment:
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22:28:27 `q007. Write the system 2 x + 3 y = -6, -4 x + y = 8 as a matrix equation A * X = C. Give the matrices A, X and C.
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RESPONSE --> 2 3 -6 -4 0 8 x=2 y=-12 confidence assessment: 1
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22:29:14 `q008. The inverse of the matrix A = [ [ 2 3 ], [ -4 1 ] ] is the matrix A^-1 = [ [ -1/14 -3/14 ], [ 2/7 1/7] ], as found in the preceding series of questions. If we multiply both sides of the matrix equation A * X = C by this inverse we get A^-1 * A * X = A^-1 * C; since A^-1 * A = I we thus have X = A^-1 * C. Calculate A^-1 * C. Then using this result write out the matrices in the equation X = A^-1 * C. What does this tell you about the values x and y that satisfy the given system of equations?
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RESPONSE --> that the values are correct and they are inverses so they are correct
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22:29:47 Figure 98 shows the original matrix equation translated into the symbolic algebraic form A X = C. This equation is then multiplied on sides A^-1, resulting in the equation A^-1 * A * X = A^-1 * C. Since A^-1 * A = I, the identity matrix, the left-hand side becomes I * X; and since I is the identity matrix we know that I * X = X so we have X = A^-1 * C. Translating this back into matrix form we have [ 1/14, - 3/14], [ 2/7, 1/7] ] * [ -6, 8 ], with the result as shown in the figure. Our solution is [ -15/7, -4/7 ].
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RESPONSE --> ok self critique assessment: 2
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22:31:24 `q009. Apply the techniques of this assignment to find the solution of the system 3 x - 2 y = 10, -5 x + 3 y = -13.
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RESPONSE --> x=-4 and y=-11
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22:32:44 The system can be expressed as the product [ [ 3 -2 ], [ -5 3 ] ] * [ x y ]` = [ 10 -13 ]` which is of form A X = C with A = [ [ 3 -2 ], [ -5 3 ] ] and C = [ 10 -13 ]`. The solution of the equation A X = C will be X = A^-1 * C, easily obtained if we can find A^-1. The inverse of A is obtained by reducing the augmented matrix [ A | I ] = [ [ 3 -2 | 1 0 ], [ -5 3 | 1 0 ] ] to the form [ I | * ] = [[ 1 0 | * * ], [ 0 1 | * * ] ], with the * matrix being A^-1. Figure 113 illustrates the reduction of the original matrix to the desired form, with the result that the inverse is A^-1 = [ [3/19, -2/19], [5/19, 3/19] ]. We now calculate our solution X = A^-1 * C: X = [ [3/19, -2/19], [5/19, 3/19] ] * [ 10 -13 ]` = [56/19, 11/19]` = [x, y']`. Thus x = 56/19 and y = 11/19, or in approximation x = 2.95, y = .58.
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RESPONSE --> i used the wrong formula and just multipied the matirces and did not break down the matrices self critique assessment: 2
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???I??U?????? assignment #015 015. Matrix Algebra; Solving the matrix equation A * X = C by finding the Inverse Matrix Precalculus II 04-21-2009