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This is a complicated subject, which can't be explained in a few words. Read the Wikipedia article on "eigenvalue"; or better yet, read a book on linear algebra. Briefly, and quoting from the Wikipedia, "The eigenvectors of a square matrix are the non-zero vectors that, after being multiplied by the matrix, remain parallel to the original vector. For each eigenvector, the corresponding eigenvalue is the factor by which the eigenvector is scaled when multiplied by the matrix."
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What is the Formula For Calculating The Magnitude Of The Resultant Of Two Or More Vectors Acting At obtuse Angle?
No matter what the angles are:* Express the vectors in Cartesian (rectangular) coordinates; in two dimensions, this would usually mean separating them into an x-component and a y-component. * Add the components of all the vectors. For example, the x-component of the resultant vector will be the sum of the x-components of all the other vectors. * If you so wish (or the teacher so wishes!), convert the resulting vector back into polar coordinates (i.e., distance and direction).
What are the values of theta of which secant theta is undefined?
Since secant theta is the same as 1 / cosine theta, the answer is any values for which cosine theta is zero, for example, pi/2.
How is trigonometry used in real life?
Trigonometry is used in the fields of design, music, navigation, cartography, manufacturing, physics, optics, projectile motion, and any other field which involves angles, fields, waves, harmonics, and vectors.
Why are there two sine cosine and tangent ratios?
There aren't. There are three: Sine, Cosine and Tangent, for any given right-angled triangle. They are related of course: for any given angle A, sinA/cosA = tanA; sinA + cosA =1. As you can prove for yourself, the first by a little algebraic manipulation of the basic ratios for a right-angled triangle, the second by looking up the values for any value such that 0 < A < 90. And those three little division sums are the basis for a huge field of mathematics extending far beyond simple triangles into such fields as harmonic analysis, vectors, electricity & electronics, etc.
What should be the angle between two vectors for there resultant to have maximum magnitude?
Zero. For example, if two people pull in the same direction, they are more effective than if they pull in opposite directions. The latter (180°) is the worst-case scenario in this case.
What are the application of eigen vectors and eigen values in signal and system?
In signals eigen values and eigen vectors are used in finding directions.... Signals are based on eigen vectors
How does AHP use eigenvalue and eigenvector?
how does ahp use eigen values and eigen vectors
What are the applications of matrices?
we can measure the expansion of the world by matrices cause in magnetic fields vectors can be streched up to a certain limit which are the eigen values.
What do the eigen vectors of the covariance matrix give us?
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What is the eigen value of a real symmetric matrix?
The eigen values of a real symmetric matrix are all real.
What is the range of possible values of the resultant of two vectors?
The range of possible values of the resultant of two vectors is from the magnitude of the difference of the magnitudes of the two vectors to the sum of the magnitudes of the two vectors. This range occurs when the two vectors are in the same direction or in opposite directions, respectively.
What is the echelon of a matrix?
The eigen values of a matirx are the values L such that Ax = Lxwhere A is a matrix, x is a vector, and L is a constant.The vector x is known as the eigenvector.
What are the eignvalues of a matrix?
The eigen values of a matirx are the values L such that Ax = Lxwhere A is a matrix, x is a vector, and L is a constant.The vector x is known as the eigenvector.
What are the entries of a matrix?
The eigen values of a matirx are the values L such that Ax = Lxwhere A is a matrix, x is a vector, and L is a constant.The vector x is known as the eigenvector.
What is equality of a matrix?
The eigen values of a matirx are the values L such that Ax = Lxwhere A is a matrix, x is a vector, and L is a constant.The vector x is known as the eigenvector.
When was Eigen-ji created?
Eigen-ji was created in 1361.
When was Eigen Wereld created?
Eigen Wereld was created in 2006.
