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Quadratic Forms

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Definition of a Quadratic Form

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A quadratic form is a homogeneous polynomial of degree two in a number of variables. Example: Q(x,y)=ax2+bxy+cy2Q(x, y) = ax^2 + bxy + cy^2, where a,b,a, b, and cc are constants.

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Matrix Representation of Quadratic Forms

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Quadratic forms can be written in matrix form as Q(x)=xTAxQ(x) = x^T A x, where xx is a column vector of variables and AA is a symmetric matrix. Example: For Q(x,y)=3x2+2xy+3y2Q(x, y) = 3x^2 + 2xy + 3y^2, the matrix AA would be [3113]\begin{bmatrix}3 & 1 \\ 1 & 3\end{bmatrix}.

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Principal Axes Theorem

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The Principal Axes Theorem states that any real symmetric matrix representing a quadratic form can be diagonalized by an orthogonal change of coordinates. Example: Q(x,y)=x2xy+y2Q(x, y) = x^2 - xy + y^2 can be diagonalized to Q(u,v)=u2+v2Q(u, v) = u^2 + v^2 by an appropriate rotation.

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Definite Quadratic Forms

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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: x2+y2x^2 + y^2 is positive definite, x2y2-x^2 - y^2 is negative definite.

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Semi-Definite Quadratic Forms

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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: x2x^2 is positive semi-definite.

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Discriminant of a Quadratic Form

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The discriminant of a quadratic form in two variables ax2+bxy+cy2ax^2 + bxy + cy^2 is given by D=b24acD = b^2 - 4ac. It indicates the nature of the conic section represented by the quadratic form. Example: If the discriminant is negative, the conic is an ellipse.

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Eigenvalues of the Matrix of a Quadratic Form

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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 [3113]\begin{bmatrix}3 & 1 \\ 1 & 3\end{bmatrix} are positive.

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Quadratic Forms in Three Variables

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Quadratic forms can have three or more variables, typically written as ax2+by2+cz2+dxy+exz+fyzax^2 + by^2 + cz^2 + dxy + exz + fyz. Example: 2x2+2y2+3z2xyyz2x^2 + 2y^2 + 3z^2 - xy - yz.

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Diagonalization of Quadratic Forms

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A quadratic form can sometimes be reduced to a sum of squares by an orthogonal transformation. Example: Q(x,y)=x2xy+y2Q(x, y) = x^2 - xy + y^2 becomes Q(u,v)=u2+v2Q(u, v) = u^2 + v^2 after diagonalization.

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Rank of a Quadratic Form

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The rank of a quadratic form is the rank of its corresponding symmetric matrix. Example: The quadratic form represented by the matrix [1000]\begin{bmatrix}1 & 0 \\ 0 & 0\end{bmatrix} has rank 1.

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Signature of a Quadratic Form

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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 [1001]\begin{bmatrix}1 & 0 \\ 0 & -1\end{bmatrix}, the signature is 0.

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Real Quadratic Forms

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Real quadratic forms have coefficients that are real numbers. Example: Q(x,y)=3x2+4y2Q(x, y) = 3x^2 + 4y^2 has real coefficients 3 and 4.

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Condition for Positive Definiteness

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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 [1228]\begin{bmatrix}1 & 2 \\ 2 & 8\end{bmatrix}, the leading principal minors are 1 and 6, both positive.

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Quadratic Form as a Dot Product

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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: [xy][1001][xy]=x2+y2\begin{bmatrix} x & y \end{bmatrix} \begin{bmatrix}1 & 0 \\ 0 & 1\end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix} = x^2 + y^2.

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Canonical Form of a Quadratic Form

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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: 2x23y22x^2 - 3y^2 is already in canonical form.

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Cross Product Terms in Quadratic Forms

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Cross product terms in quadratic forms are the terms involving the product of different variables. Example: In Q(x,y,z)=x2+y2+z2+2xy2xzQ(x, y, z) = x^2 + y^2 + z^2 + 2xy - 2xz, the terms 2xy2xy and 2xz-2xz are cross product terms.

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Transforming Quadratic Forms

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Transforming a quadratic form involves changing variables to simplify the form or to make its properties more apparent. Example: Transforming x2xy+y2x^2 - xy + y^2 by rotating axes to remove the xyxy term.

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Quadratic Forms and Optimization

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Quadratic forms often appear in optimization problems, where finding the maximum or minimum involves completing the square or using matrix calculus. Example: Minimizing Q(x,y)=4x2+4xy+y2Q(x, y) = 4x^2 + 4xy + y^2.

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Graphical Representation of Quadratic Forms

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Quadratic forms can be graphically represented as conic sections such as ellipses, hyperbolas, or parabolas in the xy-plane. Example: Q(x,y)=x2+4xy+4y2Q(x, y) = x^2 + 4xy + 4y^2 represents an ellipse.

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Non-Degenerate Quadratic Forms

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A quadratic form is non-degenerate if its determinant is non-zero, hence, its matrix is invertible. Example: Q(x,y)=x2xy+y2Q(x, y) = x^2 - xy + y^2 is non-degenerate since the determinant of the matrix [10.50.51]\begin{bmatrix}1 & -0.5 \\ -0.5 & 1\end{bmatrix} is not zero.

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