1,526 reputation
410
bio website cse.iitb.ac.in/~aruniyer
location India
age 30
visits member for 2 years, 3 months
seen 2 hours ago

Jul
12
comment How to parameterize the maximum of a function?
@cirpis the title says degree two polynomial
Jul
12
answered How to parameterize the maximum of a function?
May
16
comment How to prove such an elementary inequality
Precisely. (Surely you meant pth root instead of pth power).
May
16
answered How to prove such an elementary inequality
May
14
comment $6^{(n+2)} + 7^{(2n+1)}$ is divisible by $43$ for $n \ge 1$
Yes, that is the induction hypothesis step. But choose some other alphabet other than n, since it is already being used to represent the power. Say P(k) = 43*m, where m >= 13. Substitute that and you will get the common factor of 43.
May
14
comment $6^{(n+2)} + 7^{(2n+1)}$ is divisible by $43$ for $n \ge 1$
Note that LHS is P(k+1) and RHS is $6\times P(k) + 43\times7^{2k+1}$. What do you know about P(k)?
May
14
answered $6^{(n+2)} + 7^{(2n+1)}$ is divisible by $43$ for $n \ge 1$
Apr
23
awarded  Yearling
Apr
9
answered Minimum of Maximum of Addition of two vectors/arrays
Apr
8
revised orthogonal complement problem: show $\operatorname{oc}(A\cap B)=\operatorname{oc}(A)+\operatorname{oc}(B)$
deleted 8 characters in body
Apr
8
comment orthogonal complement problem: show $\operatorname{oc}(A\cap B)=\operatorname{oc}(A)+\operatorname{oc}(B)$
Oh I missed the part of $A$ and $B$ being subspaces. Thanks.
Apr
8
answered orthogonal complement problem: show $\operatorname{oc}(A\cap B)=\operatorname{oc}(A)+\operatorname{oc}(B)$
Apr
2
revised Statistics and Probability, finding unbiased estimates of mean and variance given sigma x and sigma (x^2)
latexed the question
Apr
2
suggested suggested edit on Statistics and Probability, finding unbiased estimates of mean and variance given sigma x and sigma (x^2)
Mar
31
answered Proving inequality $x^xy^y \geq (\frac{x+y}{2})^{x+y}$
Mar
31
comment Using SVD in PCA for image compression
You seem to be confusing scaling with compression. If you just want to reduce the dimensions, then just downscale your images. en.wikipedia.org/wiki/Image_scaling
Mar
28
answered How to realize $\lambda_{max}(X)$ is convex?
Mar
28
answered What is the distribution of the dot product of a Dirichlet vector with a fixed vector?
Mar
27
comment Set of vectors linearly independent
Note that $u_i = v_i - v_{i - 1}$ for $i > 1$
Mar
27
comment finding the unspecified ${\bf E}[X]$ and $\rm var(X)$ given the expectation of higher powers of $X$
A standard normal random variable has mean 0 and variance 1.