To solve simultaneous equations using matrices, you first need to represent the equations in matrix form. Create a matrix equation by combining the coefficients of the variables and the constants on one side, and the variables on the other side. Then, use matrix operations to manipulate the matrices to solve for the variables. Finally, you can find the values of the variables by performing matrix multiplication and inversion to isolate the variables.
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There are many ways of doing this. For example Gaussian elimination, diagonalising, but the simplest to explain is matrix inversion (I'm assuming some knowledge of matrices here, and unfortunately some of the matrix formatting is a little off due to limitations in the editor):
Any system of simultaneous equations can be rewritten as the matrix equation
A.v = u
The coefficients of the variables become the entries in the square matrix, A.
To solve the matrix equation we need to invert A, and then multiply by the inverse, giving us
I.v = A-1.u
where I is the identity matrix.
As an example take the following system of equations:
2x - 3y = 1
4x - 5y = 5
The matrix version of this equation is
{ 2 -3 } { x } = { 1 }
{ 4 -5 } { y } { 5 }
A
v
u
It's clear that if you multiply out the matrix row by row, you get the original set of equations.
In our case
I = { 1 0 }
{ 0 1 }
A-1 = { -2.5 1.5 }
{ -2 1 }
(Finding the inverse of a matrix is a whole other question)
so A-1.u = { 5 }
{ 3 }
Therefore we have x = 5, and y = 3.
Inversion of A is the most difficult step, though this can easily be done with a computer.
Matrices are tools to solve linear equations. Engineers use matrices in solving electrical problems in circuits using Thevenin's and Norton's theories.
Matrices are used in most scientific fields. They are usually used to represent and manipulate a number of measures simultaneously.For example, they are used to represent and solve systems of simultaneous equations. In basic mechanics could represent the coordinates of the location of particles or specific locations on a rigid body. Joint probability distributions - for n variables - are represented, using matrices, as surfaces in n+1 dimensional space.
Finding the point of intersection using graphs or geometry is the same as finding the algebraic solutions to the corresponding simultaneous equations.
Oh, dude, using matrices for these two equations, you'd set up a system like this: [-4 4 -8] [x] = [0] and [1 -4 -7] [y] = [0]. Solve it however you want, like with Gaussian elimination or something, and you'll find the values of x and y that make both equations true. So, like, have fun crunching those numbers, I guess.
Simultaneous equations can be solved using the elimination method.