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    Math Deficiency - I
    MD-001
    Progress0 / 38 topics
    Topics
    1. Sets: Definition, Representation, and Operations2. Relation and Function: Graphical Transformation of Functions3. Properties of Functions4. Composition and Inverses of Functions5. Domain and Range of Functions6. Maximum and Minimum Values of Functions7. Increasing and Decreasing Functions8. Zeros and Intercepts of Functions9. Piecewise Functions10. Continuity and Discontinuity of Functions11. Polynomials and Rational Functions12. Polynomial Long Division and Synthetic Division13. Solution of Rational Functions14. Absolute Valued Functions and Their Properties15. Asymptotes: Horizontal, Vertical, and Oblique16. Exponential Functions and Their Properties17. Logarithmic Functions and Their Properties18. Systems of Equations: Two Equations and Two Unknowns19. Systems of Equations: Three Equations and Three Unknowns20. Matrix Algebra: Addition, Subtraction, and Multiplication21. Row Operations and Row Echelon Forms22. Augmented Matrices23. Determinant of Matrices: 2x2 and Higher Order24. Cramer's Rule25. Inverse Matrices26. Series and Sequences27. Trigonometry: Angles in Radians and Degrees28. Right Triangle Trigonometry29. Law of Cosines and Sines30. Area of a Triangle31. Graphs of Trigonometric Functions32. Graphs of Inverse Trigonometric Functions33. Basic Trigonometric Identities34. Trigonometric Equations35. General Form of a Conic: Parabolas, Circles, Ellipses, and Hyperbolas36. Degenerate Conics37. Polar and Parametric Equations38. Polar and Rectangular Coordinates
    MD-001›Systems of Equations: Three Equations and Three Unknowns
    Math Deficiency - ITopic 19 of 38

    Systems of Equations: Three Equations and Three Unknowns

    12 minread
    2,113words
    Intermediatelevel

    Systems of Equations: Three Equations and Three Unknowns

    A system of three equations and three unknowns involves three linear equations with three variables. The general form is:

    {a1x+b1y+c1z=d1a2x+b2y+c2z=d2a3x+b3y+c3z=d3\begin{cases} a_1x + b_1y + c_1z = d_1 \\ a_2x + b_2y + c_2z = d_2 \\ a_3x + b_3y + c_3z = d_3 \end{cases}⎩⎨⎧​a1​x+b1​y+c1​z=d1​a2​x+b2​y+c2​z=d2​a3​x+b3​y+c3​z=d3​​

    Where:

    • xxx, yyy, and zzz are the unknown variables.
    • a1,a2,a3a_1, a_2, a_3a1​,a2​,a3​, etc., are constants, as are b1,b2,b3b_1, b_2, b_3b1​,b2​,b3​, and c1,c2,c3c_1, c_2, c_3c1​,c2​,c3​.
    • d1,d2,d3d_1, d_2, d_3d1​,d2​,d3​ are the constants on the right-hand side of the equations.

    The goal is to find the values of xxx, yyy, and zzz that satisfy all three equations simultaneously.


    Methods for Solving Systems of Equations with Three Unknowns

    There are several methods to solve systems of three equations with three unknowns. The most common methods are:

    1. Substitution Method
    2. Elimination Method
    3. Matrix Method (Gaussian Elimination)

    Each method can be used to reduce the system to simpler equations and ultimately solve for the unknowns.


    1. Substitution Method

    The substitution method involves solving one of the equations for one variable and substituting that expression into the other two equations. This reduces the system to a system of two equations in two unknowns, which can then be solved.

    Steps:

    1. Solve one equation for one variable in terms of the others (e.g., solve for xxx, yyy, or zzz).
    2. Substitute the expression into the other two equations, eliminating the variable.
    3. Solve the resulting system of two equations in two unknowns.
    4. Once you find the value of one variable, substitute it back into one of the original equations to find the other variables.

    Example:

    Solve the system:

    {x+y+z=62x−y+3z=143x+2y−z=7\begin{cases} x + y + z = 6 \\ 2x - y + 3z = 14 \\ 3x + 2y - z = 7 \end{cases}⎩⎨⎧​x+y+z=62x−y+3z=143x+2y−z=7​
    • Step 1: Solve the first equation for xxx:

      x=6−y−zx = 6 - y - zx=6−y−z
    • Step 2: Substitute x=6−y−zx = 6 - y - zx=6−y−z into the second and third equations:

      • Second equation:

        2(6−y−z)−y+3z=14⇒12−2y−2z−y+3z=14⇒12−3y+z=142(6 - y - z) - y + 3z = 14 \quad \Rightarrow \quad 12 - 2y - 2z - y + 3z = 14 \quad \Rightarrow \quad 12 - 3y + z = 142(6−y−z)−y+3z=14⇒12−2y−2z−y+3z=14⇒12−3y+z=14

        Simplify:

        −3y+z=2(Equation 4)-3y + z = 2 \quad \text{(Equation 4)}−3y+z=2(Equation 4)
      • Third equation:

        3(6−y−z)+2y−z=7⇒18−3y−3z+2y−z=7⇒18−y−4z=73(6 - y - z) + 2y - z = 7 \quad \Rightarrow \quad 18 - 3y - 3z + 2y - z = 7 \quad \Rightarrow \quad 18 - y - 4z = 73(6−y−z)+2y−z=7⇒18−3y−3z+2y−z=7⇒18−y−4z=7

        Simplify:

        −y−4z=−11⇒y+4z=11(Equation 5)-y - 4z = -11 \quad \Rightarrow \quad y + 4z = 11 \quad \text{(Equation 5)}−y−4z=−11⇒y+4z=11(Equation 5)
    • Step 3: Solve the new system of two equations:

      {−3y+z=2y+4z=11\begin{cases} -3y + z = 2 \\ y + 4z = 11 \end{cases}{−3y+z=2y+4z=11​
      • Multiply the second equation by 3 to eliminate yyy:

        3y+12z=333y + 12z = 333y+12z=33
      • Add the two equations:

        (−3y+z)+(3y+12z)=2+33(-3y + z) + (3y + 12z) = 2 + 33(−3y+z)+(3y+12z)=2+33

        Simplify:

        13z=35⇒z=351313z = 35 \quad \Rightarrow \quad z = \frac{35}{13}13z=35⇒z=1335​
    • Step 4: Substitute z=3513z = \frac{35}{13}z=1335​ into one of the original equations (e.g., y+4z=11y + 4z = 11y+4z=11):

      y+4(3513)=11⇒y+14013=11⇒y=11−14013=14313−14013=313y + 4\left(\frac{35}{13}\right) = 11 \quad \Rightarrow \quad y + \frac{140}{13} = 11 \quad \Rightarrow \quad y = 11 - \frac{140}{13} = \frac{143}{13} - \frac{140}{13} = \frac{3}{13}y+4(1335​)=11⇒y+13140​=11⇒y=11−13140​=13143​−13140​=133​
    • Step 5: Finally, substitute y=313y = \frac{3}{13}y=133​ and z=3513z = \frac{35}{13}z=1335​ into the equation x=6−y−zx = 6 - y - zx=6−y−z:

      x=6−313−3513=6−3813=7813−3813=4013x = 6 - \frac{3}{13} - \frac{35}{13} = 6 - \frac{38}{13} = \frac{78}{13} - \frac{38}{13} = \frac{40}{13}x=6−133​−1335​=6−1338​=1378​−1338​=1340​

    Thus, the solution is:

    x=4013,y=313,z=3513x = \frac{40}{13}, \quad y = \frac{3}{13}, \quad z = \frac{35}{13}x=1340​,y=133​,z=1335​

    2. Elimination Method

    The elimination method involves adding or subtracting equations in such a way that one of the variables is eliminated. This method reduces the system to a simpler system, often starting with two equations in two unknowns.

    Steps:

    1. Multiply the equations (if necessary) so that the coefficients of one of the variables are opposites (i.e., one is the negative of the other).
    2. Add or subtract the equations to eliminate one variable.
    3. Solve the resulting system of two equations in two unknowns.
    4. Once one variable is found, substitute it back into one of the original equations to solve for the other variables.

    Example:

    Solve the system:

    {x+y+z=62x−y+3z=143x+2y−z=7\begin{cases} x + y + z = 6 \\ 2x - y + 3z = 14 \\ 3x + 2y - z = 7 \end{cases}⎩⎨⎧​x+y+z=62x−y+3z=143x+2y−z=7​
    • Step 1: Eliminate zzz by adding the first and second equations:

      (x+y+z)+(2x−y+3z)=6+14⇒3x+4z=20(Equation 4)(x + y + z) + (2x - y + 3z) = 6 + 14 \quad \Rightarrow \quad 3x + 4z = 20 \quad \text{(Equation 4)}(x+y+z)+(2x−y+3z)=6+14⇒3x+4z=20(Equation 4)
    • Step 2: Eliminate zzz by adding the first and third equations:

      (x+y+z)+(3x+2y−z)=6+7⇒4x+3y=13(Equation 5)(x + y + z) + (3x + 2y - z) = 6 + 7 \quad \Rightarrow \quad 4x + 3y = 13 \quad \text{(Equation 5)}(x+y+z)+(3x+2y−z)=6+7⇒4x+3y=13(Equation 5)
    • Step 3: Now solve the system of two equations:

      {3x+4z=204x+3y=13\begin{cases} 3x + 4z = 20 \\ 4x + 3y = 13 \end{cases}{3x+4z=204x+3y=13​

      Solve this system using methods for two equations (substitution or elimination), and then substitute back to find the values of xxx, yyy, and zzz.


    3. Matrix Method (Gaussian Elimination)

    The matrix method, particularly Gaussian elimination, is an efficient algorithm for solving systems of linear equations. It involves transforming the system of equations into an augmented matrix and performing row operations to reduce the matrix to row echelon form or reduced row echelon form.

    Steps:

    1. Write the system of equations as an augmented matrix.
    2. Use row operations (swap rows, multiply a row by a constant, add/subtract rows) to reduce the matrix to row echelon form.
    3. Back-substitute to solve for the unknowns.

    Types of Solutions

    Like systems of two equations, a system of three equations can have:

    • One solution (Unique Solution): The system is consistent and independent, and the three equations intersect at a single point.
    • No solution: The system is inconsistent (the equations represent parallel planes that never meet).
    • Infinite solutions: The system is dependent (the three equations represent the same plane or coincide in some way, giving infinitely many solutions).

    Conclusion

    Solving systems of three equations with three unknowns can be done using various methods, such as substitution, elimination, or matrix methods. While the substitution and elimination methods are often straightforward and intuitive, the matrix method (Gaussian elimination) provides a more systematic and efficient approach, especially for larger systems. Understanding the different methods and when to use each will help you handle complex systems of equations in algebra and other areas of mathematics.

    Previous topic 18
    Systems of Equations: Two Equations and Two Unknowns
    Next topic 20
    Matrix Algebra: Addition, Subtraction, and Multiplication

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