HSC EV Higher Mathematics 1st Paper 2nd Chapter Note

HSC EV Higher Mathematics 1st Paper 2nd Chapter Note. Vector. In mathematics, physics, and engineering, a Euclidean vector (sometimes called a geometric or spatial vector, or—as here—simply a vector) is a geometric object that has magnitude (or length) and direction. Vectors can be added to other vectors according to vector algebra.

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HSC EV Higher Mathematics 1st Paper 2nd Chapter Note. Vector

HSC EV Higher Mathematics 1st Paper 2nd Chapter Note

HSC EV Higher Mathematics 1st Paper 2nd Chapter Note

HSC EV Higher Mathematics 1st Paper 2nd Chapter Note

Adding vectors in magnitude and direction formApplications of vectors combined vector operations component form of vectorsMagnitude and direction form of vectorsMagnitude of vectorsScalar multiplicationUnit vectorsVector addition and subtractionVector basicsQuiz 1Quiz 2Quiz 3Unit test. Quizzes. Vector basics.

Determinants occur throughout mathematics. For example, a matrix is often used to represent the coefficients in a system of linear equations, and the determinant can be used to solve those equations, although more efficient techniques are actually used, some of which are determinant-revealing and consist of computationally effective ways of computing the determinant itself. The use of determinants in calculus includes the Jacobian determinant in the change of variables rule for integrals of functions of several variables. Determinants are also used to define the characteristic polynomial of a matrix, which is essential for eigenvalue problems in linear algebra. In analytic geometry, determinants express the signed n-dimensional volumes of n-dimensional paralleled. Sometimes, determinants are used merely as a compact notation for expressions that would otherwise be unwieldy to write down. When the entries of the matrix are taken from a field (like the real or complex numbers), it can be proven that any matrix has a unique inverse if and only if its determinant is nonzero. Various other theorems can be proved as well, including that the determinant of a product of matrices is always equal to the product of determinants; and, the determinant of a Hermitian matrix is always real.

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English Version HSC Higher Math Note

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