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Quadratic Equations in the Complex Number System01:29

Quadratic Equations in the Complex Number System

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A quadratic equation in the form ax2+bx+c=0 can have solutions that vary in nature depending on the value of the discriminant, b2−4ac. In this expression, a is the coefficient of the quadratic term x2, b is the coefficient of the linear term x, and c is the constant term. When the discriminant is negative, the equation has no real number solutions. However, by introducing complex numbers through the imaginary unit i, defined by i=-1, these equations can still be solved.The square root of...
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Quadratic Equations01:29

Quadratic Equations

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A quadratic equation is an algebraic expression where a variable is raised to the second power and combined with its first power and a constant; all equated to zero. These equations are frequently used to model relationships involving area, motion, and optimization. The general representation of a quadratic equation iswhere a, b, and c are real values, and a is nonzero to ensure the presence of the squared term.One method for solving a quadratic equation involves rewriting it as a product of...
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Gaussian Elimination: Problem Solving01:30

Gaussian Elimination: Problem Solving

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Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
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Systems of Linear Equations in Two Variables01:25

Systems of Linear Equations in Two Variables

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Solving a system of linear equations is a fundamental concept in algebra. A system of equations consists of two or more linear equations involving the same set of variables. One of the most efficient algebraic methods for solving such systems is the substitution method. This technique involves expressing one variable in terms of the other from one equation and substituting it into the second equation. This method is particularly useful when one of the equations is easily rearranged.Consider the...
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Linear Equations01:27

Linear Equations

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Linear equations form the foundation of many algebraic and real-world applications, characterized by their simplicity and utility. A linear equation is an algebraic statement in which each term is either a constant or a product of a constant and a single variable. These equations represent straight lines when plotted on a Cartesian coordinate plane, reflecting a constant rate of change between two quantities.A typical linear equation in one variable has the form: ax + b = c, where a, b, and c...
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Radical Equations01:26

Radical Equations

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Radical equations are mathematical expressions in which the variable is found within a radical, most commonly a square root or cube root. These equations frequently arise in science, engineering, and real-world measurements involving nonlinear relationships. To solve a radical equation, the standard procedure is to isolate the radical expression and then eliminate the radical by raising each side to a power equal to the index of the radical. This process may lead to extraneous...
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Related Experiment Video

Updated: Apr 25, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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A new solution to the matrix equation X - AXB = C.

Caiqin Song1

  • 1School of Mathematical Sciences, University of Jinan, Jinan 250022, China.

Thescientificworldjournal
|August 19, 2014
PubMed
Summary

This study presents an explicit solution for the Kalman-Yakubovich-conjugate matrix equation. The derived solution is a polynomial of coefficient matrices and is effective even without canonical forms.

Area of Science:

  • Linear Algebra
  • Matrix Theory
  • Control Systems

Background:

  • Matrix equations are fundamental in various scientific and engineering disciplines.
  • The Kalman-Yakubovich-conjugate matrix equation (X - AXB = C) presents unique challenges in finding explicit solutions.

Purpose of the Study:

  • To derive an explicit solution for the matrix equation X - AXB = C.
  • To express this solution in terms of coefficient matrices, symmetric operator, controllability, and observability matrices.
  • To demonstrate the method's applicability without requiring canonical forms.

Main Methods:

  • Construction of an explicit solution for the unique solution case of X - AXB = C.
  • Representation of the solution as a polynomial of coefficient matrices.

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  • Expression of the solution using symmetric operator, controllability, and observability matrices.
  • Main Results:

    • An explicit formula for the solution of the Kalman-Yakubovich-conjugate matrix equation is derived.
    • The solution is presented as a polynomial of the coefficient matrices A, B, and C.
    • The solution is also expressed using the symmetric operator, controllability, and observability matrices.
    • The method is shown to be effective without requiring coefficient matrices to be in arbitrary canonical form.

    Conclusions:

    • The proposed method provides an effective way to find the explicit solution for the Kalman-Yakubovich-conjugate matrix equation.
    • The derived solution is versatile, expressed in multiple forms, and applicable to matrices not in canonical form.
    • A numerical example validates the effectiveness of the presented approach.