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Quadratic Forms
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Definition of a Quadratic Form
A quadratic form is a homogeneous polynomial of degree two in a number of variables. Example: , where and are constants.
Matrix Representation of Quadratic Forms
Quadratic forms can be written in matrix form as , where is a column vector of variables and is a symmetric matrix. Example: For , the matrix would be .
Principal Axes Theorem
The Principal Axes Theorem states that any real symmetric matrix representing a quadratic form can be diagonalized by an orthogonal change of coordinates. Example: can be diagonalized to by an appropriate rotation.
Definite Quadratic Forms
A quadratic form is positive definite if it takes only positive values (except at the origin), and negative definite if it takes only negative values (except at the origin). Example: is positive definite, is negative definite.
Semi-Definite Quadratic Forms
A quadratic form is positive semi-definite if it takes only non-negative values and negative semi-definite if it takes non-positive values. Example: is positive semi-definite.
Discriminant of a Quadratic Form
The discriminant of a quadratic form in two variables is given by . It indicates the nature of the conic section represented by the quadratic form. Example: If the discriminant is negative, the conic is an ellipse.
Eigenvalues of the Matrix of a Quadratic Form
The eigenvalues of the symmetric matrix associated with a quadratic form give information about the form's definiteness. A quadratic form is positive definite if all the eigenvalues are positive. Example: The eigenvalues of are positive.
Quadratic Forms in Three Variables
Quadratic forms can have three or more variables, typically written as . Example: .
Diagonalization of Quadratic Forms
A quadratic form can sometimes be reduced to a sum of squares by an orthogonal transformation. Example: becomes after diagonalization.
Rank of a Quadratic Form
The rank of a quadratic form is the rank of its corresponding symmetric matrix. Example: The quadratic form represented by the matrix has rank 1.
Signature of a Quadratic Form
The signature of a quadratic form is the number of positive eigenvalues minus the number of negative eigenvalues of the corresponding matrix. Example: For the matrix , the signature is 0.
Real Quadratic Forms
Real quadratic forms have coefficients that are real numbers. Example: has real coefficients 3 and 4.
Condition for Positive Definiteness
A necessary and sufficient condition for a quadratic form to be positive definite is that all its leading principal minors of the corresponding matrix are positive. Example: For , the leading principal minors are 1 and 6, both positive.
Quadratic Form as a Dot Product
A quadratic form can be seen as a dot product of a vector with itself pre-multiplied and post-multiplied by a symmetric matrix. Example: .
Canonical Form of a Quadratic Form
The canonical form of a quadratic form is achieved by a linear change of variable that simplifies the equation to a sum of squares with coefficients +1 or -1. Example: is already in canonical form.
Cross Product Terms in Quadratic Forms
Cross product terms in quadratic forms are the terms involving the product of different variables. Example: In , the terms and are cross product terms.
Transforming Quadratic Forms
Transforming a quadratic form involves changing variables to simplify the form or to make its properties more apparent. Example: Transforming by rotating axes to remove the term.
Quadratic Forms and Optimization
Quadratic forms often appear in optimization problems, where finding the maximum or minimum involves completing the square or using matrix calculus. Example: Minimizing .
Graphical Representation of Quadratic Forms
Quadratic forms can be graphically represented as conic sections such as ellipses, hyperbolas, or parabolas in the xy-plane. Example: represents an ellipse.
Non-Degenerate Quadratic Forms
A quadratic form is non-degenerate if its determinant is non-zero, hence, its matrix is invertible. Example: is non-degenerate since the determinant of the matrix is not zero.
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