Determinants - Examples on Determinants

  • Today’s Lesson: Determinants
  • Examples of solving determinants
  • Understanding the properties of determinants
  • How to find the value of a determinant
  • Practical applications of determinants in real-life problems

What is a Determinant?

  • A determinant is a mathematical value that can be calculated from a square matrix.
  • It provides important information about the matrix, such as whether it is invertible or singular.
  • The determinant of a matrix is denoted by “det(A)” or “|A|”.

Properties of Determinants

  • The determinant of the identity matrix is always 1: det(I) = 1.
  • If two rows or two columns of a matrix are interchanged, the sign of the determinant changes.
  • Multiplying a row or column by a constant multiplies the determinant by that constant.
  • If two rows or two columns of a matrix are identical, the determinant of that matrix is zero.

How to Find the Value of a Determinant?

  • For a 2x2 matrix:
    • Given A = | a b | | c d |
    • The determinant of A is ad - bc.

Example: Finding the Determinant of a 2x2 Matrix

  • Given A = | 2 3 | | 4 5 |
  • To find the determinant of A, we multiply the elements along the main diagonal and subtract the product of the elements along the other diagonal.
  • Thus, det(A) = (2 * 5) - (3 * 4) = 10 - 12 = -2

Solving Determinants for a 3x3 Matrix

  • Given A = | a b c | | d e f | | g h i |
  • The determinant of a 3x3 matrix can be found using the formula:
    • det(A) = a(ei - fh) - b(di - fg) + c(dh - eg)

Example: Finding the Determinant of a 3x3 Matrix

  • Given A = | 1 2 3 | | 4 5 6 | | 7 8 9 |
  • Applying the formula,
    • det(A) = 1(5 * 9 - 6 * 8) - 2(4 * 9 - 6 * 7) + 3(4 * 8 - 5 * 7) = 1(45 - 48) - 2(36 - 42) + 3(32 - 35) = 1(-3) - 2(-6) + 3(-3) = -3 + 12 - 9 = 0

The Cofactor Expansion Method

  • The cofactor expansion method is another way to find the determinant of a matrix.
  • It involves expanding the determinant along a row or column by using cofactors.
  • Cofactors are obtained by determining the determinants of submatrices formed by removing a row and column from the original matrix.

Example: Using the Cofactor Expansion Method

  • Given A = | 1 2 3 | | 4 5 6 | | 7 8 9 |
  • Expanding along the first row, we have:
    • det(A) = 1C11 - 2C12 + 3*C13
    • C11, C12, and C13 are the cofactors of the elements 1, 2, and 3 respectively.

Recap: Determinants

  • The determinant of a matrix provides important information about the matrix.
  • Determinants can be found for 2x2 and 3x3 matrices using different methods.
  • The properties of determinants help in simplifying calculations and solving real-life problems.
  • Practice solving more examples to reinforce your understanding.

Determinants - Examples on Determinants

  • In this section, we will solve some examples to understand the concept of determinants better.
  • We will practice calculating determinants for matrices of different sizes.
  • These examples will help reinforce our understanding and prepare for solving more complex problems.

Example 1: Finding the Determinant of a 2x2 Matrix

  • Given A = | 3 2 | | 1 4 |
  • To find the determinant of A, we multiply the elements along the main diagonal and subtract the product of the elements along the other diagonal.
  • Thus, det(A) = (3 * 4) - (2 * 1) = 12 - 2 = 10

Example 2: Finding the Determinant of a 3x3 Matrix

  • Given A = | 2 1 3 | | 0 5 2 | | 1 4 6 |
  • Applying the formula,
    • det(A) = 2(5 * 6 - 2 * 4) - 1(0 * 6 - 2 * 1) + 3(0 * 4 - 5 * 1) = 2(30 - 8) - 1(0 - 2) + 3(0 - 5) = 2(22) - 1(-2) - 3(-5) = 44 + 2 + 15 = 61

Example 3: Finding the Determinant of a 4x4 Matrix

  • Given A = | 1 2 3 4 | | 0 1 2 3 | | 3 4 5 6 | | 2 3 0 1 |
  • Using the cofactor expansion method, we can expand along the first row:
    • det(A) = 1C11 - 2C12 + 3C13 - 4C14
    • C11, C12, C13, and C14 are the cofactors of the elements 1, 2, 3, and 4 respectively.

Example 4: Determinant of a Square Matrix

  • Given A = | a b c d | | e f g h | | i j k l | | m n o p |
  • The determinant of a square matrix A is given by the formula:
    • det(A) = a(fkp - gjo - hlp + gln + hkm - fln) - b(ekp - gip - hlp + gin + hmo - ein) + c(egp - fip - hio + fin + hmo - gjm) - d(egn - fjm - gjo + fkn + hkm - ejn)

Example 5: Determinant of a 5x5 Matrix

  • Given A = | a b c d e | | f g h i j | | k l m n o | | p q r s t | | u v w x y |
  • Using the cofactor expansion method, we can expand along the first row:
    • det(A) = a * C11 - b * C12 + c * C13 - d * C14 + e * C15
    • C11, C12, C13, C14, and C15 are the cofactors of the elements a, b, c, d, and e respectively.

Applications of Determinants

  • Determinants have wide applications in various fields, including:
    • Solving systems of linear equations
    • Calculating the area of polygons
    • Finding the volume of parallelepipeds
    • Inverse matrices and matrix transformations
    • Determining the existence of solutions to equations

Example with Application: Solving Systems of Equations

  • Given the system of equations:
    • 2x + 3y = 7
    • 4x - y = 10
  • We can write the system in matrix form as AX = B, where A is the coefficient matrix, X is the variable matrix, and B is the matrix of constants.
  • To solve for X, we can use the equation X = A^(-1) * B, where A^(-1) is the inverse of matrix A.

Example with Application: Calculating the Area of a Triangle

  • Given the vertices of a triangle as coordinates (x1, y1), (x2, y2), and (x3, y3):
    • The area of the triangle can be calculated using the formula:
      • Area = 1/2 * | x1 y1 1 | | x2 y2 1 | | x3 y3 1 |
    • The absolute value of the determinant provides the area of the triangle.

Summary

  • In this lecture, we learned about determinants and their properties.
  • We solved examples for finding determinants of matrices of different sizes.
  • Determinants have various applications, such as solving systems of equations and calculating areas of polygons.
  • It is important to practice solving more examples and understanding the concepts thoroughly.

Solving Systems of Equations using Determinants

  • When solving a system of linear equations using determinants:
    • Create the coefficient matrix A and the matrix of constants B.
    • Find the determinant of A, |A|.
    • If |A| is non-zero, the system has a unique solution.
    • If |A| is zero, the system may have either no solution or infinitely many solutions.

Example: Solving a System of Equations

  • Given the system of equations:
    • 2x + y = 5
    • 3x - 2y = 1
  • Writing the system in matrix form: AX = B.
  • Coefficient matrix A:
    • | 2 1 | | 3 -2 |
  • Matrix of constants B:
    • | 5 | | 1 |
  • Calculating the determinant of A, |A| = (2 * -2) - (1 * 3) = -4 - 3 = -7.

Example: (continued)

  • Since |A| ≠ 0, the system has a unique solution.
  • The inverse of matrix A, A^(-1), can be found using the formula A^(-1) = (1/|A|) * adj(A), where adj(A) is the adjugate matrix.
  • A^(-1) = (1/-7) * |-2 1 | |-3 2 | = |-2/7 -1/7 | | 3/7 -2/7 |

Example: (continued)

  • Multiplying A^(-1) with B, we can find the solution X: X = A^(-1) * B.
  • A^(-1) * B = |-2/7 -1/7 | * | 5 | | 3/7 -2/7 | | 1 | = (-2/7 * 5) + (-1/7 * 1) (3/7 * 5) + (-2/7 * 1) = -10/7 - 1/7 15/7 - 2/7 = -11/7 + 13/7 = 2/7

Calculating the Area of a Polygon using Determinants

  • To calculate the area of a polygon using determinants:
    • Create a matrix A, where each row represents the coordinates of a vertex of the polygon.
    • Take the absolute value of the determinant of A, |A|.
    • Divide |A| by 2 to get the area of the polygon.

Example: Calculating the Area of a Quadrilateral

  • Given the vertices of a quadrilateral as coordinates (x1, y1), (x2, y2), (x3, y3), and (x4, y4):
  • The area of the quadrilateral can be calculated using the formula:
    • Area = 1/2 * | x1 y1 1 | | x2 y2 1 | | x3 y3 1 | | x4 y4 1 |
  • Taking the absolute value of the determinant provides the area of the quadrilateral.

Example: (continued)

  • Given the vertices of a quadrilateral as:
    • (1, 2), (3, 5), (7, 6), (9, 1)
  • Using the formula:
    • Area = 1/2 * | 1 2 1 | | 3 5 1 | | 7 6 1 | | 9 1 1 |
  • Expanding the determinant:
    • Area = 1/2 * (1 * 5 - 2 * 1 + 3 * 6 - 5 * 9 + 7 * 1 - 6 * 9)
    • Area = 1/2 * (5 - 2 + 18 - 45 + 7 - 54)
    • Area = 1/2 * (-71)
    • Area = -71/2

Finding the Volume of a Parallelepiped using Determinants

  • To find the volume of a parallelepiped using determinants:
    • Create a matrix A, where each row represents the vectors representing the edges of the parallelepiped.
    • Take the absolute value of the determinant of A, |A|, to get the volume of the parallelepiped.

Example: Finding the Volume of a Parallelepiped

  • Given the vectors representing the edges of a parallelepiped as:
    • u = (1, 2, 3)
    • v = (4, 5, 6)
    • w = (7, 8, 9)
  • Creating the matrix A:
    • | 1 2 3 | | 4 5 6 | | 7 8 9 |
  • Taking the absolute value of the determinant:
    • Volume = |A| = | 1 2 3 | | 4 5 6 | | 7 8 9 |

Example: (continued)

  • Expanding the determinant:
    • Volume = |A| = (1 * 5 * 9 + 2 * 6 * 7 + 3 * 4 * 8) - (3 * 5 * 7 + 2 * 4 * 9 + 1 * 6 * 8)
    • Volume = |A| = (45 + 84 + 96) - (105 + 72 + 48)
    • Volume = |A| = 225 - 225
    • Volume = 0