Recent content by Aakash Gupta

Oh sorry that must be pi/4, is there anything wrong apart from that?

(a) Since the probability distribution is uniform in the square K(take it as ABCD here), there P(ξ,η) = 1 for all points inside the square(why? : because ∫∫P(ξ,η)dξdη with 0<ξ<1 & 0<η<1 should be 1 and marginal distribution for ξ and η are uniform) Now we need to find probability of all those...

cheers!

yes!

The gradient of the scalar T(x,y) is given by ∇T = <tx, ty> = <(∂T/∂x), (∂T/∂y)> Here (∂T/∂x) represents the directional derivative of T w.r.t x and (∂T/∂y) represents the directional derivative of T w.r.t y The Directional derivative means rate of change of a quantity in a particular...

Hi, I am Aakash for 3rd year ug from IIT Kanpur in department of Mechanical Engineering