If $x^Tx \geq y^Ty$, what are the conditions on $R$ to be $x^TRx \geq y^TRy$ for a positive semidefinite $R$ ?
2026-03-28 20:54:04.1774731244
Inequality on Mahalanobis distance
197 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in LINEAR-ALGEBRA
- An underdetermined system derived for rotated coordinate system
- How to prove the following equality with matrix norm?
- Alternate basis for a subspace of $\mathcal P_3(\mathbb R)$?
- Why the derivative of $T(\gamma(s))$ is $T$ if this composition is not a linear transformation?
- Why is necessary ask $F$ to be infinite in order to obtain: $ f(v)=0$ for all $ f\in V^* \implies v=0 $
- I don't understand this $\left(\left[T\right]^B_C\right)^{-1}=\left[T^{-1}\right]^C_B$
- Summation in subsets
- $C=AB-BA$. If $CA=AC$, then $C$ is not invertible.
- Basis of span in $R^4$
- Prove if A is regular skew symmetric, I+A is regular (with obstacles)
Related Questions in NORMED-SPACES
- How to prove the following equality with matrix norm?
- Closure and Subsets of Normed Vector Spaces
- Exercise 1.105 of Megginson's "An Introduction to Banach Space Theory"
- derive the expectation of exponential function $e^{-\left\Vert \mathbf{x} - V\mathbf{x}+\mathbf{a}\right\Vert^2}$ or its upper bound
- Minimum of the 2-norm
- Show that $\Phi$ is a contraction with a maximum norm.
- Understanding the essential range
- Mean value theorem for functions from $\mathbb R^n \to \mathbb R^n$
- Metric on a linear space is induced by norm if and only if the metric is homogeneous and translation invariant
- Gradient of integral of vector norm
Related Questions in POSITIVE-SEMIDEFINITE
- Minimization of a convex quadratic form
- set of positive definite matrices are the interior of set of positive semidefinite matrices
- How to solve for $L$ in $X = LL^T$?
- How the principal submatrix of a PSD matrix could be positive definite?
- Hadamard product of a positive semidefinite matrix with a negative definite matrix
- The square root of a positive semidefinite matrix
- Optimization of the sum of a convex and a non-convex function?
- Proving that a particular set is full dimensional.
- Finding bounds for a subset of the positive semidefinite cone
- Showing a matrix is positive (semi) definite
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
Let us consider an example where $\textbf{x}= [2 \quad 0]^{\top}, \textbf{y}= [0 \quad 1]^{\top}$ and $\mathbf{R}= \pmatrix{1 & 0 \\ 0 & 6}$. In that case, $\lVert \textbf{x} \rVert^2 = 4$ and $\lVert \textbf{y} \rVert^2 = 1$, but $\textbf{x}^{\top} \mathbf{R} \textbf{x} = 4$ and $\textbf{y}^{\top} \mathbf{R} \textbf{y} = 6$.
So, even if $\mathbf{R}$ is PD that does not guarantee your desired inequality.
From the example, we can conclude that the scaling must be uniform in all directions, that is, eigenvalues must be the same.
Let us consider that $\mathbf{R}$ is a symmetric matrix. We can write as follows: $$\mathbf{R}=\mathbf{Q}\mathbf{\Lambda}\mathbf{Q}^{\top}=\lambda\mathbf{Q}\mathbf{I}\mathbf{Q}^{\top}=\lambda\mathbf{I}.$$ Now, $$\textbf{x}^{\top}\mathbf{R}\textbf{x}=\lambda \lVert \textbf{x} \rVert^2.$$ In order to maintain the inequality, we need $\lambda > 0$.
[Note: The above analysis is valid only when $\mathbf{R}$ is symmetric.]