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13.18: Solving Ax = b

  • Page ID
    135936
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    Method 1: The Inverse Method

    Mathematically, if A is invertible, we can solve \(Ax = b\) by multiplying both sides by A-1:

    x = A-1  * b

    In MATLAB, that looks like this:

    x_inverse = inv(A) * b

    This method works for many small examples, but it is not recommended for general numerical computing. Computing the inverse directly can be inefficient and may introduce more numerical error.

     

     

    Method 2: The Backslash Operator

    The preferred MATLAB method is the backslash operator:

    x = A \ b

    The backslash operator tells MATLAB to solve the system Ax = b using an appropriate numerical method. It is cleaner, faster, and more reliable than calculating the inverse explicitly.

    Best Practice

    When solving systems of linear equations in MATLAB, use x = A\b instead of x = inv(A)*b.

     

     

    Example \(\PageIndex{1}\)

    Solve the following system:

    \(4*x1 - 2*x2 + x3 = 7\)

    \(x1 + x2 + 5*x3 = 10\)

    \(-2*x1 + 3*x2 - x3 = 2\)

    clc; clear;
    
    
    
    A = [4 -2 1; 1 1 5; -2 3 -1];
    
    b = [7; 10; 2];
    
    
    % Recommended method
    
    x = A \ b
    
    
    % Optional check
    
    check = A*x

    Solution

    x =
    
       3.0244
       2.9512
       0.8049
    
    check =
    
        7.0000
       10.0000
        2.0000

    The vector x contains the values of x1, x2, and x3. The check variable should match b. This is a good way to verify that your solution is correct.

     

     


    13.18: Solving Ax = b is shared under a CC BY-NC-SA license and was authored, remixed, and/or curated by LibreTexts.

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