hmmm...I have problems understanding this...how can the null space if a matrix(not necessarily a square) be the same as that of its transpose?
Thanks in advance
hmm...looks like it..
UP
______+----------------------------------------------+
______¦ x = 0 kohm ¦ x = 50 kohm ¦ x = 100 kohm ¦
______¦ y = 0 kohm ¦ y = 0 kohm ¦ y = 0 kohm ¦
______+--------------+---------------+---------------¦
LEFT ¦ x = 0...
I was thinking there was any easy way to do this like A transistor which allows current to flow normally and when u put current through its base, it stops? Is that possible?
power? you mean the +5 v bit and current supply? Yup :P ANd Nope :P you don't want to go to right and left at the same time. Even if some controlloers allowed that, its not possible with that sega controller I have.
hmmmm...
I have access to some "FET MPF102 N-Ch Junction", I've googled...
hmm....
Well, Ima 1st year student and I've been taught all about resistors and capacitors and inductors. So I decided to use my n00bish skills to change my old saga joystick into a pc one(analog) :P Everything is fine. Learned all about ports and everything I need to make the joypad. Now...
how does one look like?I mean what's the general form? e.g. for a 1 var poly...general form = a0+a1x+a2^2+...+anx^n
and how could I represent that by a matrix?
Thanks
Unique linear transformations!
Problems agiain :cry: :cry: :cry:
Say I have 2 vector spaces with some finite number of vectors(can assume linear independency)...how can I show that the linear transformation between the two is unique?
Thanks in advance!