Department

MathematicsCourse Code

MAT224H1Professor

Martin, BurdaThis

**preview**shows page 1. to view the full**4 pages of the document.**Lecture 12 notes byY. Burda

Westarted with adigression, describing atrickthat allows to express

angles in terms of distances (a sort of cosine law):

Problem Let T:V→Vbean operator satisfying |Tv|=|v|for all

v∈V.Provethat Tv·Tw=v·wfor all v,w∈V.

The meaning of this problem is that an operator that preserves distances

must also preservedot products and hence angles (v·w=|v||w|cos 6v,w).

Solution Wewill use the identityv·w=(|v+w|2−|v−w|2)/4expressing

dot products in terms of distances. The proof of this identityis astraight-

forward calculation:

|v+w|2=(v+w)·(v+w)=|v|2+|w|2+2v·w

|v−w|2=(v−w)·(v−w)=|v|2+|w|2−2v·w

Subtracting these equations weget the desired result.

Now wecan use this identity:

Tv·Tw=|Tv+Tw|2−|Tv−Tw|2

4=|T(v+w)|2−|T(v−w)|2

4=

=|v+w|2−|v−w|2

4=v·w

Tricks that connect dot-products to distances are often called “polariza-

tion tricks”.

One application of the notions westudied about quadratic forms is to

investigation of behaviour of afunction near its critical point.

Recall that for agoodenough function of one variable wehavethe fol-

lowing test for amaximum/minimum: at apointof maximum or minimum

the ﬁrst derivativeof the function vanishes and if the second derivativeat

the same pointis positive, then this is aminimum point. Similarly if the

second derivativeis negative, then the pointis amaximum point.

The proof of this criterion is based on the following approximation:

f(x0+∆x)≈f(x0)+f′(x0)∆x+f′′(x0)

2∆x2

For afunction of twovariables whose ﬁrst derivatives at apoint (x0,y0)

1

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