Geometry and Discrete Mathematics (Matrix)

In summary, geometry and discrete mathematics are branches of mathematics that deal with different types of objects. Geometry focuses on continuous objects, while discrete mathematics focuses on countable objects. Matrices are rectangular arrays of numbers used in various fields of mathematics, such as geometry and discrete mathematics. They have applications in real life, such as data analysis and computer programming. A vector is a one-dimensional array of numbers, while a matrix is a rectangular array. Matrix multiplication involves multiplying the corresponding elements of two matrices and adding the products to get the resulting matrix.
  • #1
Cyto
18
0
Hey all, I'm having some problems with this one homework question... We just did The Intersection of Three Planes using The augmented matrix... and here's my question...

For what value of k will the following set of planes intersect in a line?

x - 2y - z = 0
x + 9y - 5z = 0
kx - y + z = 0
 
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  • #2
Try solving the thre simultaneous equations. The solutions will, of course, involve k. Find a value of k for which you do NOT get a single value (that would probably be a value of k that makes a denominator 0.)
 
  • #3


To find the value of k, we can set up an augmented matrix with the coefficients of the variables and the constants on the right side. The matrix would look like this:

[1 -2 -1 | 0]
[1 9 -5 | 0]
[k -1 1 | 0]

From here, we can use row operations to transform the matrix into reduced row echelon form. This will help us find the value of k that will make the system of equations consistent and have a solution (intersect in a line). After performing row operations, we get the following matrix:

[1 0 -1 | 0]
[0 1 -1 | 0]
[0 0 (k+2) | 0]

To have a consistent system, the last row must have all zeros except for the last column, which represents the constant. This means that (k+2) must equal 0, and therefore k = -2. Therefore, the set of planes will intersect in a line when k = -2.
 

FAQ: Geometry and Discrete Mathematics (Matrix)

What is the difference between geometry and discrete mathematics?

Geometry is a branch of mathematics that deals with the study of shapes, sizes, and positions of objects in space. It focuses on continuous and smooth objects, such as curves and surfaces. On the other hand, discrete mathematics deals with discrete or countable objects, such as integers, graphs, and networks. It involves the study of discrete structures and their relationships.

What is a matrix in the context of mathematics?

In mathematics, a matrix is a rectangular array of numbers or symbols that are arranged in rows and columns. It is used to represent and manipulate linear transformations, system of equations, and geometric transformations. Matrices are an essential tool in various fields of mathematics, including geometry and discrete mathematics.

What are the applications of matrices in real life?

Matrices have numerous applications in various fields, including science, engineering, economics, and computer graphics. They are used to solve systems of linear equations, analyze networks and circuits, perform image and signal processing, and model physical systems. In real life, matrices are used in areas such as data analysis, computer programming, and game development.

What is the difference between a matrix and a vector?

A matrix is a rectangular array of numbers, while a vector is a one-dimensional array of numbers. Matrices have both rows and columns, and their dimensions are specified as m x n (m rows and n columns). Vectors, on the other hand, have only one dimension and can be represented as a row vector or a column vector. In terms of applications, matrices are used to represent and manipulate linear transformations, while vectors are used to represent quantities with both magnitude and direction.

How do you perform matrix multiplication?

To multiply two matrices, the number of columns in the first matrix must be equal to the number of rows in the second matrix. The resulting matrix will have the same number of rows as the first matrix and the same number of columns as the second matrix. To multiply the corresponding elements of the matrices, you multiply the elements in each row of the first matrix by the elements in each column of the second matrix, and then add the products. This process is repeated for each element in the resulting matrix.

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