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cross product formula

basis + how to solve for it
A basis in V, is a set of vectors that
1. Span V ( every vector in V can be written as linear combination of basis)
2.Are linearly IND
subspace + how to solve for it
Subspace of Rn is a set of vectors that:
1. Contain the zero vector
are closed under addition and scalar multiplication
span + how to solve for it
The span of a set of vectors is all possible linear combination of those vectors ( written out in generic format)
projection of x onto y
where y dot y is the same thing as the lenght of y squared

perpendicular of x onto y

Nearest Point formula
if the nearest point to Q we’re solving for we call R.
OR = OQ + Projn (QP) , where n is the normal to the line/plane and P is a point on the line/plane
Min Distance in R2
lenght of perp(d)(PQ) perpendicular of directed line segment PQ onto d ( d is subscript), where P is point ur trying to reach and Q is some point on line?
Min Distance in R3
lenght of projection of PQ onto the normal ( normal is subscript)- where Q is point ur trying to reach and P is some point on the line
Volume of Parralelpiped
if u,v,and w are adjacent edges of parrelpiped
the volume is the absolute value of:
((U x V) (dot)W or the det of this 3×3 matrix )
Scalar Tripe Product
(UxV) dot W → any combo of these vectors works
ORRR the det of these vectors if we arrange them into a 3×3 matrix?
ERO notation

RREF FORM
matrix is in row echelon form
all leading values are 1
in a coloumn with a leading one, all other values are 0
( coloumns with 1’s that are not leading can still have other numbers above/below)
Column of zeros + free varibles( key reminder)
column of zeros does not mean the variable = 0
Just means that the varible never appears in eqs, so nothing restricts it
therefore it is a free varible ( u cant write any of the terms except itself in terms of it)
here if x1 is free varible s, only x1=S

REF form
All nonzero rows are above any rows of all zeros
The first nonzero entry is the pivot (leading entry does not have to be 1)
Each pivot is to the right of the pivot in the row above
All entries below each pivot are zero
acute vs obstuse angle
a cute angle is less than 90 degrees ( or pi/2 radians)
an obtuse ( large) angle is more than 90 degrees
format of a basis ( in answer)
s=span(basis vectors)
steps for success in proofs
whenever u have more than 1 solution → free varibles ( if u dont have all free varibles, rewrite other varibles in terms of free varibles)
go with a generilization not plugging in specific answer
generlization = assigning paramters ( ex. x2=S)
then rewrite whatever statement/criteria u have as a linear combo of the paramteres ( same way u do when ur writing a general equation for a matrix)
how to find PQ if P and Q are points
OQ-OP ( where O is the origin- should be teh same as Q-P tbh)