1 00:00:02,469 --> 00:00:03,704 On the Guided Practice tab, 2 00:00:03,704 --> 00:00:06,440 a system of linear equations in two variables 3 00:00:06,440 --> 00:00:08,275 is generated for you. 4 00:00:08,275 --> 00:00:10,911 Drag the coefficients, variables, and constants 5 00:00:10,911 --> 00:00:13,513 from the equations to the matrices. 6 00:00:13,513 --> 00:00:15,949 The variables should be placed in the variable matrix, 7 00:00:15,949 --> 00:00:19,386 which is the second matrix in the matrix equation. 8 00:00:19,386 --> 00:00:21,755 The first matrix is the coefficient matrix. 9 00:00:21,755 --> 00:00:24,458 The coefficients from an equation should be placed 10 00:00:24,458 --> 00:00:26,326 within the same row of the coefficients matrix, 11 00:00:26,326 --> 00:00:28,362 so that the first coefficient in the matrix 12 00:00:28,362 --> 00:00:29,997 is the coefficient that is multiplied by 13 00:00:29,997 --> 00:00:33,100 the first variable in the variable matrix... 14 00:00:33,100 --> 00:00:35,836 ...and the second coefficient in the coefficients matrix 15 00:00:35,836 --> 00:00:37,671 is the coefficient that is multiplied by 16 00:00:37,671 --> 00:00:40,941 the second variable in the variable matrix. 17 00:00:40,941 --> 00:00:43,477 The third matrix is the constant matrix. 18 00:00:43,477 --> 00:00:45,913 The constants should be placed in the constant matrix 19 00:00:45,913 --> 00:00:47,748 in the same row as the coefficients 20 00:00:47,748 --> 00:00:49,683 from that equation. 21 00:00:49,683 --> 00:00:51,785 Click Calculate to express the matrix 22 00:00:51,785 --> 00:00:54,688 in reduced row echelon form. 23 00:00:54,688 --> 00:00:58,892 In this form, the type of system can be determined by inspection. 24 00:00:58,892 --> 00:01:01,395 Select the type of linear system. 25 00:01:01,395 --> 00:01:02,529 The resulting matrix of 26 00:01:02,529 --> 00:01:04,531 a consistent independent linear system, 27 00:01:04,531 --> 00:01:05,866 which has one solution, 28 00:01:05,866 --> 00:01:09,236 will have a coefficient matrix with ones along its diagonal 29 00:01:09,236 --> 00:01:11,238 from the top-left to the bottom-right 30 00:01:11,238 --> 00:01:14,141 and zeros in all other places. 31 00:01:14,141 --> 00:01:17,110 Such a matrix is in reduced row echelon form, 32 00:01:17,110 --> 00:01:18,679 and the solution can be determined 33 00:01:18,679 --> 00:01:22,416 by translating the matrix back into equations. 34 00:01:22,416 --> 00:01:23,450 The resulting matrix of 35 00:01:23,450 --> 00:01:25,552 a consistent dependent linear system, 36 00:01:25,552 --> 00:01:27,821 which has infinitely many solutions, 37 00:01:27,821 --> 00:01:29,823 will have all zeros on the lowest row 38 00:01:29,823 --> 00:01:31,291 of the coefficient matrix, 39 00:01:31,291 --> 00:01:34,294 and a zero in the lowest row of the constant matrix. 40 00:01:34,294 --> 00:01:38,031 The upper row of the matrix of a consistent, dependent system 41 00:01:38,031 --> 00:01:40,467 can be translated back into an equation, 42 00:01:40,467 --> 00:01:44,338 which will describe the infinitely many solutions. 43 00:01:44,338 --> 00:01:47,040 The resulting matrix of an inconsistent linear system, 44 00:01:47,040 --> 00:01:48,408 which has no solutions, 45 00:01:48,408 --> 00:01:50,410 will have all zeros on the lowest row 46 00:01:50,410 --> 00:01:51,745 of the coefficient matrix, 47 00:01:51,745 --> 00:01:53,046 and a non-zero number 48 00:01:53,046 --> 00:01:55,649 in the lowest row of the constant matrix. 49 00:01:55,649 --> 00:01:58,251 The final row of the matrix of an inconsistent system 50 00:01:58,251 --> 00:02:00,520 can be translated back into an equation 51 00:02:00,520 --> 00:02:02,522 that will be mathematically false, 52 00:02:02,522 --> 00:02:06,693 thereby indicating that the matrix has no solutions. 53 00:02:06,693 --> 00:02:09,363 If the system is consistent and independent, 54 00:02:09,363 --> 00:02:12,165 drag and drop the constants into the boxes. 55 00:02:12,165 --> 00:02:15,936 These values make up the ordered pair that is the solution. 56 00:02:15,936 --> 00:02:18,238 Click Try Another to try another example. 57 00:02:20,474 --> 00:02:23,844 On the Workspace tab, you can enter your own linear equations. 58 00:02:23,844 --> 00:02:26,146 Click on a box to use the on-screen keypad 59 00:02:26,146 --> 00:02:28,148 to enter coefficients and constants... 60 00:02:34,488 --> 00:02:37,991 ... use the dropdown menus to enter variables. 61 00:02:45,565 --> 00:02:47,868 Then click Check Equations. 62 00:02:47,868 --> 00:02:50,504 Drag the coefficients, variables, and constants 63 00:02:50,504 --> 00:02:53,473 from the equations to the matrices. 64 00:02:53,473 --> 00:02:56,309 Click Calculate to solve the linear system. 65 00:02:56,309 --> 00:02:58,311 The virtual manipulative will determine 66 00:02:58,311 --> 00:03:00,247 what type of system you have entered. 67 00:03:00,247 --> 00:03:02,416 If the system is consistent and independent, 68 00:03:02,416 --> 00:03:04,418 the virtual manipulative will also give you 69 00:03:04,418 --> 00:03:07,087 the constants of the unique solution. 70 00:03:07,087 --> 00:03:09,156 Click Try Another to try another example.