There are many simple questions in everyday life that can be modelled by linear equations and solved using linear programming.
Linear algebra is used to analyze systems of linear equations. Oftentimes, these systems of linear equations are very large, making up many, many equations and are many dimensions large. While students should never have to expect with anything larger than 5 dimensions (R5 space), in real life, you might be dealing with problems which have 20 dimensions to them (such as in economics, where there are many variables). Linear algebra answers many questions. Some of these questions are: How many free variables do I have in a system of equations? What are the solutions to a system of equations? If there are an infinite number of solutions, how many dimensions do the solutions span? What is the kernel space or null space of a system of equations (under what conditions can a non-trivial solution to the system be zero?) Linear algebra is also immensely valuable when continuing into more advanced math topics, as you reuse many of the basic principals, such as subspaces, basis, eigenvalues and not to mention a greatly increased ability to understand a system of equations.
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Pros: There are many real life situations in which the relationship between two variables is quadratic rather than linear. So to solve these situations quadratic equations are necessary. There is a simple equation to solve any quadratic equation. Cons: Pupils who are still studying basic mathematics will not be told how to solve quadratic equations in some circumstances - when the solutions lie in the Complex field.
Quadratic equations can be used in many real world situations, particularly in the fields of business, engineering, and science. They can be used to help predict how much a business will earn or lose and thus allow that business to figure out how to maximize its profit. Kayakers also use these equations to determinate their speed while traveling up or down a river.
There are many simple questions in everyday life that can be modelled by linear equations and solved using linear programming.
I never need them :D
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Determunants simplified the rule for solving simultaneous linear equations.
As a retired teacher of mathematics, this question made me smile! As I often told my middle school students, "You will, probably, only need 10% of the mathematics we teach, in school, to be successful in life. However, only your life can tell you which 10%." Having said this, linear equations: 1) Would enable you to determine where two lines intersect. (Useful in construction) 2) Find the break even point in marketing. 3) Determine how long it would take to reach almost any goal that could be expressed as a time dependent equation.
Quadratic equations doesn't help you in life specifically. It just combines a bunch of different math properties. It helps to focus your brain, gain concentration and intellect.
Linear algebra is used to analyze systems of linear equations. Oftentimes, these systems of linear equations are very large, making up many, many equations and are many dimensions large. While students should never have to expect with anything larger than 5 dimensions (R5 space), in real life, you might be dealing with problems which have 20 dimensions to them (such as in economics, where there are many variables). Linear algebra answers many questions. Some of these questions are: How many free variables do I have in a system of equations? What are the solutions to a system of equations? If there are an infinite number of solutions, how many dimensions do the solutions span? What is the kernel space or null space of a system of equations (under what conditions can a non-trivial solution to the system be zero?) Linear algebra is also immensely valuable when continuing into more advanced math topics, as you reuse many of the basic principals, such as subspaces, basis, eigenvalues and not to mention a greatly increased ability to understand a system of equations.
I image you intends algebraic linear equations. A great number of problems in real life are mathematically model with algebraic linear equations like - Design of electronic filters for any application (smart-phones, stereo systems, radio systems, ....) - Optimization of the any problem that can be modeled with the so called simplex algorithm (commercial programs uses this set of linear equations to optimize management of a civil airplane company, of the production in a car factory, of the management of a warehouse and many other problems) - The determination of currents and voltages in an electrical circuit composed of resistances, inductive elements, capacitors and ideal amplifiers can be done by a system of algebraic linear equations; This is only a very limited set of examples. However in mathematics any equation, not only algebraic, but also integral, differential and so on, is called linear if the sum of two solutions is again a solution and the product of a solution by a number is again a solution. You can easily verify that it is true also for homogeneous algebraic equations (that is linear angebraic equations without the known term). For example if we have the two unknown x and y the equation 2x+y=0 is linear. As a matter of fact, since x=1, y=-2 is a solution and x=-2, y=4 is another solution, also the sum of the two solutions, that is x=-1, y=2 is another solution. If we adopt this extended definition, the quantum mechanical basic equations are linear, thus we can say that, up to the moment in which we do not consider cosmic bodies for whom gravity is important, the whole world is linear !!
well, if you know all the formulating equations it will make you better at regular equations and regular equations can be used in everyday life
it help us in this life because we can be able to use signs and alphabet to represent data
School is part of real life... if you are using equations in school that is real.
Equations are not especially useful for solving most of the real-life problems that people face, which is too bad, since problems that can be reduced to equations are likely to be solved before long if not immediately. However, there are many problems in the physical sciences and engineering that lend themselves to mathematical modeling and equations and modern computer allow many difficult computations to be made quickly. Statistical methods and computer simulations can solve problems where precise equations can not be found. Also, the mental discipline developed in learning any sort of mathematics will help you develop reasoning skills that will help you solve many real life problems in the future.