Upper Triangular Matrix: Definition, Types, Properties, Applications & Solved Questions

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Jasmine Grover

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Triangular Matrix is a sort of square matrix in Linear Algebra in which the entries below and above the diagonal appear to form a triangle. There are two basic forms of triangular matrices. All elements above the main diagonal in a lower triangular matrix are zero, while all elements lying below the main diagonal are 0 in an upper triangular matrix. We may obtain the value of the determinant for any upper triangular matrix by multiplying all of the elements along the major diagonal of the matrix. This also means that if a 0 appears anywhere along an upper triangular matrix's main diagonal, the determinant will be 0.

Key Terms: Upper Triangular Matrix, Triangular Matrix, Lower Triangular Matrix, Matrices, Diagonals, Determinant, Square Matrix, Elements, Atomic Matrix, Unitriangular Matrix


What is a Triangular Matrix?

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A triangular matrix can be defined as a special kind of square matrix in which elements below and/or above the diagonal are all zeros. There are mainly two types of triangular matrices: 

  • Lower Triangular Matrix: A lower triangular matrix is a square matrix in which all the elements above its main diagonal are zero. 
  • Upper Triangular Matrix: An upper triangular matrix can be defined as a square matrix in which all the elements below the main diagonal are zero.

\(A = \begin{bmatrix}2 & -1 & 3 \\[0.3em]0 & 5 & 2 \\[0.3em] 0 & 0 & -2 \\[0.3em] \end{bmatrix}, B = \begin{bmatrix}2 &0 & 0 \\[0.3em]1 & 5 &0 \\[0.3em] 1 & -1 & -2 \\[0.3em] \end{bmatrix} \)

Upper Triangular Matrix, Lower Triangular Matrix

The video below explains this:

Matrices Detailed Video Explanation:

Upper Triangular Matrix

An n × n square matrix A = [aij] is called an upper triangular matrix if and only if aij = 0, for all i > j. In an upper triangular matrix, this means that all elements below the major diagonal of a square matrix are zero. U = [uij for I j, 0 for I > j] is a common notation for an upper triangular matrix. Here is an example of an upper triangular matrix:

\(U = \begin{bmatrix}6 &0 &8 \\[0.3em]0 & 10 &-12 \\[0.3em] 0 & 0 & 2 \\[0.3em] \end{bmatrix} \)

Upper Triangular Matrix

The right triangle matrix is also known as the upper triangular matrix, whereas the left triangular matrix is also known as the lower triangular matrix.

As a result, an upper triangular matrix is defined as one with zero entries below the main diagonal, while a lower triangular matrix is defined as one with zero entries above the main diagonal. All items below the main diagonal in the Upper triangular sparse matrix have a zero value. An upper triangular matrix is another name for this sort of sparse matrix. When you look at it graphically, you'll see that all of the elements with non-zero values are shown above the diagonal.

Read More: Matrix Multiplication

Aside from these two, there are some unique form matrices, such as the following:

  1. Unitriangular Matrix is a type of unitriangular matrix.
  2. Strictly Matrix with three triangles
  3. Atomic Matrix with three triangles

Types of Upper Triangular Matrix

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We look at several distinct forms of Upper triangular matrices. The following is a list of several unique triangular matrices:

  • Upper Triangular Matrix: If all of the elements below the main diagonal are zero, the triangular matrix is said to be upper triangular.

Upper Triangular Matrix

Upper Triangular Matrix

  • Strictly Upper Triangular Matrix: If all of the elements of the major diagonal are zero, the upper triangular matrix is said to be strictly upper triangular.

Strictly Upper Triangular Matrix

Strictly Upper Triangular Matrix

  • Unit Upper Triangular Matrix: If all of the components of the main diagonal are equal to 1, the upper triangular matrix is said to be a unit upper triangular matrix.

Unit Upper Triangular Matrix

Unit Upper Triangular Matrix

Read More: Applications of Determinants and Matrices


Properties of Upper Triangular Matrix

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Below is a list of the most important properties of an upper triangular matrix.

  • When two upper triangular matrices are added together, the result is an upper triangular matrix.
  • Also, when two upper triangular matrices are multiplied, the output is an upper triangular matrix.
  • If the upper triangular matrix is inversed, it will remain an upper triangular matrix.
  • A lower triangular matrix will be the transpose of an upper triangular matrix, UT = L.
  • If a scalar amount is multiplied by the matrix, it will remain an upper triangular matrix.

At least one element above the main diagonal must be non-zero in an upper triangular matrix. A lower triangular matrix must also include at least one non-zero member below the main diagonal.

An upper triangular matrix is usually marked by the letter U, whereas a lower triangular matrix is usually denoted by the letter L.

Read More: Inverse Matrix Formula


Application of Upper Triangular Matrix

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The application of Upper Triangular matrices in our daily lives is far more extensive than most people realise. Every day, when we go to work, school, or university, the use or instances of matrices are in front of us. The following are some examples of matrices in action:

  • Encryption: In encryption, matrices are used to jumble data for security reasons, essentially to encode or decode the data. The data can be encoded and decoded with the use of a key that is generated using matrices.
  • 3D Games: Matrices are used to edit or recreate objects in 3D space, especially in games. They convert a 3d matrix to a 2d matrix to convert it into the many items required.
  • Business and Economics: A matrix is used in economics and business studies to investigate business trends, share, and construct business models, among other things.
  • Construction: Most structures we see are straight, however, architects occasionally construct skyscrapers with slight variations in the outside construction, such as the iconic Burj Khalifa. Matrixes are used to do this. A matrix is made up of rows and columns, as we all know. We can make such structures by changing the number of rows and columns in a matrix.
  • Engineering: Engineers utilise matrices for Fourier analysis, Gauss Theorem, and finding forces in bridges, among other things. Matrix transformations are used to obtain precisely calibrated computations in chemical engineering.
  • Miscellaneous: Matrices can also be found in electrical networks, planes, and spacecraft.
  • Dance: Matrices are used in dance to structure complex group dances.
  • Animation: Matrices can improve the precision and perfection of animations.
  • Physics: Matrixes are used in the study of electrical circuits, optics, and quantum mechanics in physics. It aids us in determining battery power outputs. It is also feasible to convert electrical energy into another usable energy using matrices. As a result, we can conclude that matrices play a significant role in calculations, particularly when solving problems involving Kirchoff's voltage and current laws.
  • Graphics Software: Matrixes are used in apps like Adobe Photoshop to process linear transformations and represent images.
  • Geology: Matrices are also useful in seismic surveys in geology.
  • Hospital: Matrixes are utilised in hospitals for medical imaging, CAT scans, and MRIs.

Read More: Invertible Matrices


Things to Remember

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  • A triangular matrix can be defined as a special kind of square matrix in the set of matrices in which elements below and/or above the diagonal are all zeros. 
  • A lower triangular matrix or upper triangular matrix are two types of a triangular matrix. 
  • A square matrix in which all elements above the main diagonal are zero is known as a lower triangular matrix while a square matrix whose all elements below the main diagonal are zero is called an upper triangular matrix.
  • If and only if aij = 0, for all i > j, an n × n square matrix A = [aij] is said to be an upper triangular matrix. 
  • The general notation of an upper triangular matrix is given as U = [uij for i ≤ j, 0 for i > j].

Sample Questions

Ques. What characteristics do upper triangular matrices have? (5 Marks)

Ans. The properties of the upper triangular matrix are as follows:

  • The result of multiplying two upper triangular matrices is another upper triangular matrices.
  • When two upper triangular matrices are multiplied, the resulting is also an upper triangular matrix.
  • If we inverse an upper triangular matrix, it will remain an upper triangular matrix.
  • A lower triangular matrix will be used to transpose an upper triangular matrix.
  • In the event of multiplication with a scalar amount, the upper triangular matrix will remain an upper triangular matrix.

Ques. Determine whether or not the provided matrix is a triangular matrix. Determine its type as well.
A=[-1 0 9 -8]  (3 Marks)

Ans. The diagonal elements of the provided matrix A are a 11=-1 and a 22=-8, both of which are non-zero.

A 12=0 is the element above the diagonal, and a 21=9 is the element below the diagonal.

As the element above the major diagonal is zero, the given matrix is a lower triangular matrix.

Matrix A, as a result, is a lower triangular matrix.

Ques. Determine the value of 'a' in the given matrix B so that B is strictly upper triangular.
B=[2a 3 a 0]  (3 Marks)

Ans. The elements below the diagonal are zero, and the elements of the main diagonal are zero, assuming B is a strictly upper triangular matrix.

As a result, we must have a11=0,a21=0 and a22=0 ⇒2a=O and a=O

⇒a=0

As a result, the value of an is 0.

Ques. What are upper triangular matrices' properties? (3 Marks)

Ans. Below is a list of the most important properties of an upper triangular matrix.

  • When two upper triangular matrices are added together, the result is an upper triangular matrix.
  • Also, when two upper triangular matrices are multiplied, the output is an upper triangular matrix.
  • If the upper triangular matrix is inversed, it will remain an upper triangular matrix.
  • A lower triangular matrix will be the transpose of an upper triangular matrix, UT = L.
  • If a scalar amount is multiplied by the matrix, it will remain an upper triangular matrix.

Ques. What is the meaning of triangular matrices? (3 Marks)

Ans. A triangular matrix is a square matrix in which all of the entries above and below the major diagonal are zero. The upper triangular matrix is a matrix in which all of the elements below the major diagonal are zero. The lower triangular matrix is a matrix in which all of the elements above the primary diagonal are zero.

The top triangular matrix is referred to as a right triangular matrix, whereas the lower triangular matrix is referred to as a left triangular matrix. Aside from these two forms of matrices, there are three further types of matrices. Unitriangular Matrix, Strictly Triangular Matrix, and Atomic Triangular Matrix are their names.

Ques. What exactly is a Matrix? (3 Marks)

Ans. A matrix is a rectangular array made up of a collection of numbers that are arranged in rows and columns. The numbers in the matrix are referred to as the matrix's elements or entries. According to legend, the determinant, which was connected with a square array of numbers, was the first name given to a matrix. We can also add and multiply matrices as distinct entities under specific conditions, resulting in fundamental mathematical systems known as matrix algebras. Two matrices, A and B, will be equal if they have the same number of rows and columns.

Ques. What are the Different Applications of Matrices? (5 Marks)

Ans. The following are examples of how Matrices are used in various fields:

  • Matrix Applications in Cryptography

Cryptography is the technique of encrypting data so that only the right people can see it and draw inferences from it. With the aid of an invertible key, the encryption procedure is carried out. Matrixes are employed in this procedure. An acoustic audio signal's fluctuation in air pressure over time is initially perceived as a sequence of integers in digital audio or video signal. Filtering methods based on matrix multiplication are applied in this strategy.

  • Matrix Applications in Wireless Communication

Matrixes are used to model and improve wireless communications. The information embedded in signals is detected, extracted, and processed using matrices. Matrixes are significantly used in the estimation of signals and the detection of faults in wireless communication. Wireless communication, as we all know, is a crucial aspect of the telecommunications industry.

  • Matrix Applications in Computer Graphics

The simplest technique to depict linear object transformations is with a square matrix. Matrixes are used in graphics to project three-dimensional pictures into two-dimensional planes. To begin, in graphics, a digital image is handled as a matrix. The numerical entries in the matrix correspond to the colour values of the pixels, and the rows and columns correspond to the rows and columns of pixels. Manipulation of a point with matrices is a common mathematical method in video game graphics. Matrixes are sometimes used to express graphs.

Ques. Matrix A and matrix B are described in the notation below.
A=\([ \begin{matrix} A_ij \end{matrix} ]\) where i=1,2,3 and j=1,2
B=( \(111 222 333 444 555 666 777 888\))
Which of these claims regarding A and B is correct?
(1)There are five elements in Matrix A.
(2)Matrix B has 4 x 2 dimensions.
(3)Element B 21 in matrix B equals 222.
(A) Only 1
(B) Only 2
(C) Only 3
(D) All of the preceding 
(E) None of the above (3 Marks)

Ans. The answer is right (E).

  • Matrix A has three rows and two columns, or three rows with two components each. This adds up to six elements, not five. 
  • Matrix B has a dimension of 2 x 4 rather than 4 x 2. Matrix B, on the other hand, contains two rows and four columns, not four rows and two columns. 
  • Finally, element B 21 corresponds to the first element in matrix B's second row, which is 555 rather than 222.

Ques. What Are the Different Types of Matrices? (3 Marks)

Ans. There are numerous types of matrices which are as follows: 

Row and column matrices, zero or null matrices, singletons, vertical and horizontal matrices, square and diagonal matrices, scalar matrices, identity matrices, equal matrices, triangular matrices, singular and non-singular matrices, symmetric matrix, skew-symmetric matrix, hermitian matrix, skew-hermitian matrix, orthogonal matrix are all the various types of matrices.


Also Read:

CBSE CLASS XII Related Questions

  • 1.

    A carpenter needs to design a wooden box in the shape of a cuboid such that the sum of its length and breadth is 3 cm more than its height. Twice of its length, thrice of its breadth and its height add up to 10 cm. Its breadth added to 7 times its height is 1 cm less than 3 times its length. 


      • 2.

        Find:
        Let \(A=[a_{ij}]\) be a \(2\times2\) matrix whose elements are given by \[ a_{ij}=\frac{(2i-j)^2}{3} \] Find the transpose matrix \(A'\).

          • \(\begin{bmatrix} \frac{1}{3} & 3 \\ 0 & \frac{4}{3} \end{bmatrix}\)
          • \(\begin{bmatrix} \frac{1}{3} & 0 \\ 3 & \frac{4}{3} \end{bmatrix}\)
          • \(\begin{bmatrix} \frac{4}{3} & 3 \\ 1 & 0 \end{bmatrix}\)
          • \(\begin{bmatrix} \frac{4}{3} & 0 1 & \frac{3}{3} \end{bmatrix}\)

        • 3.
          Find:

          If \[ (3\hat{i}-2\hat{j}+5\hat{k})\times(4\hat{i}+p\hat{j}+q\hat{k})=\vec{0} \] then find the values of \(p\) and \(q\).

            • \(p = -\frac{2}{3}, \, q = \frac{5}{3}\)
            • \(p = -\frac{8}{3}, \, q = \frac{20}{3}\)
            • \(p = \frac{20}{3}, \, q = -\frac{8}{3}\)
            • \(p = 0, \, q = 0\)

          • 4.
            Find:

            If the function \[ f(x)= \begin{cases} \frac{\sin x}{x}+\cos x, & x\neq0\\ k, & x=0 \end{cases} \] is continuous at \(x=0\), then find the value of \(k\).

              • \(0\)
              • \(-2\)
              • \(-1\)
              • \(2\)

            • 5.
              Find: \[ \int \frac{x^2}{(x^2-1)(x^2+4)}\,dx \]


                • 6.
                  Find the vector and cartesian equations of the line passing through the point of intersection of the lines \( \vec{r} = (\hat{i} + \hat{j} - \hat{k}) + \lambda(3\hat{i} - \hat{j}) \) and \( \vec{r} = (4\hat{i} - \hat{k}) + \mu(2\hat{i} + 3\hat{k}) \) and parallel to the line \( \frac{x - 1}{-2} = \frac{7 - y}{-3} = z \).

                    CBSE CLASS XII Previous Year Papers

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