Recent content by pitaly
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Graduate Need some clarifications on tensor calculus please
I've started reading up on tensors. Since this lies well outside my usual area, I need some clarifications on some tensor calculus issues. Let ##A## be a tensor of order ##j > 1##. Suppose that the tensor is cubical, i.e., every mode is of the same size. So for example, if ##A## is of order 3...- pitaly
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- Calculus Tensor Tensor calculus
- Replies: 5
- Forum: Linear and Abstract Algebra
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Graduate Proving the Equivalence of Local and Global Maxima for Concave Functions
Consider the following theorem: Theorem: Let ##f## be a concave differentiable function and let ##g## be a concave function. Then: ##y \in argmax_{x} {f(x)+g(x)}## if and only if ##y \in argmax_{x} {f(y)+f'(y)(x-y)+g(x)}.## The intuition is that local maxima and global maxima coincide for... -
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Undergrad What is this form of concavity called?
I'm working on a model which produces a form of concavity which I'm not familiar with. Does anyone know what this form is called and if it has been studied before? The definition in its differentiable version reads: Let ##X\subset \mathbb{R}^{n}##. A differentiable function ##f##, defined on...- pitaly
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- Form
- Replies: 1
- Forum: Differential Geometry
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Graduate When is the Cauchy-Schwartz inequality as large as possible?
Sorry, I forgot to say that each x_i \gt 0 and y_i \gt 0- pitaly
- Post #4
- Forum: Linear and Abstract Algebra
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Graduate When is the Cauchy-Schwartz inequality as large as possible?
The Cauchy-Schwartz inequality (\sum_{i=1}^n x_i^2)(\sum_{i=1}^n y_i^2) - (\sum_{i=1}^n x_iy_i)^2 \geq 0 holds with equality (or is as "small" as possible) if there exists an a \gt 0 such that x_i=ay_i for all i=1,...,n . But when is the inequality as "large" as possible? That is, can we...- pitaly
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- Inequality
- Replies: 6
- Forum: Linear and Abstract Algebra
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Graduate Does the Sup/Inf Operator Apply in Vector/Matrix Conditions?
Suppose y is a positive vector. Let p and x be two positive matrices with N rows, where ##p_j## and ##x_j## denotes the j:th row in these matrices, so that j = 1,…,N. Does the following hold: \inf_{k=1,...,N} [\sup_{l=1,...,N} [p_k(y-x_k)]] = \inf_{k=1,...,N} [p_k(y-x_k)] where ##p_k(y-x_k)##...