help with cubic functions!?
what the problem
find a cubic function that fits all four of these points
(0, 1), (5.5, 3.2), (9, 3), (14, 6)
umm i sorry i dk how to do that im really sorry
oh okay thanks anyways
im really sorry though
@Hero can you help me again!? I have no idea how to do this
y = ax^3 + bx^2 + cx + d Use that to create a system of four equations. Then solve for a,b,c,d
how?
Plug in the points
oh so like plug in x and y for all of them?
Yes
it says to use a 4x4 matrix to solve for a, b, c, and d...idk how to do that either
That can be tricky
Because when you are done, you will have a 5 x 4 system, not 4 x 4
oh..so what do i do?
You'll probably have to use approximation methods
@SolomonZelman can you help me?
I'll try my best, but I doubt if hero couldn't help. Continuing from what Hero said, do you know the approximation method?
...no :(
wait, does it make a difference if the problem says to use a 4x4 inverse matrix? or is that the same as a 4x4 matrix?
I am really bad at math, idk what the inverse matrix is, inverse of a matrix? maybe hero and ganeshea8 can help?
i'm sorry i thought he could help you
Yeah, I suck at math.
it's okay!
ty
esp function, I'll watch others do it.
i'm just soo confused and actually, I suck at math more than you do haha
he doesn't suck at math he's just not good with some things
use numerical method of approximation coz u have 4 points the greatest power in the fun would be (n-1)=(4-1)=3
well do u know lagrange interpolation polynomial ??
its a function if u apply aom point on it , it will give u polynomial that satisfy the hole point u give . a gree untill now ??
matrix method gives below values for a, b, c, d; its tedious to find the inverse of coefficient matrix manually :- http://www.wolframalpha.com/input/?i=solve+ {{0%2C0%2C0%2C1}%2C{5.5^3%2C5.5^2%2C5.5%2C1}%2C{9^3%2C9^2%2C9%2C1}%2C{14^3%2C14^2%2C14%2C1}}{{a}%2C+{b}%2C+{c}%2C+{d}}+%3D+{{1}%2C{3.2}%2C{3}%2C{6}} lets see if this matches wid the results from ikram's method :)
ok, i assume u got it so let the polyunomial u want be p(x) f(x) is called lagrange interpolation polynomial L(x) are interpolation coefficents |dw:1384207212327:dw|
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