Solve Degree 2 Polynomial: 10.2 DE Notation Explained

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Discussion Overview

The discussion revolves around the application of a linear transformation defined on polynomials of degree 2, specifically the operator \( T \) and its computation on various polynomial forms. Participants explore the properties of \( T \), including its linearity and matrix representation, while also expressing concerns about understanding the notation and concepts involved.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested
  • Homework-related

Main Points Raised

  • Some participants express confusion regarding the notation and the definition of polynomials of degree less than 2, questioning the example given.
  • Participants compute \( T(1) \), \( T(x) \), and \( T(x^2) \), with varying results noted, particularly around the calculations leading to \( T(x^2) \) being \( 6x^2 \).
  • There is a proposal for the matrix representation of the transformation \( T \), with some uncertainty about its application to \( T(ax^2 + bx + c) \).
  • One participant suggests showing that \( T \) is a linear transformation by verifying its properties, while another expresses concern about their understanding and progress in the topic.
  • Some participants share their struggles with the material, citing difficulties in class and the need for clearer examples.

Areas of Agreement / Disagreement

Participants generally express uncertainty and confusion regarding the calculations and concepts, with no clear consensus on the correct interpretations or outcomes. Multiple competing views on the computations and understanding of the transformation exist.

Contextual Notes

Some calculations appear to have discrepancies, and there is a lack of clarity on the implications of the matrix representation. Participants also mention challenges related to learning resources and accessibility.

Who May Find This Useful

Students studying linear transformations, polynomials, and differential operators, as well as those seeking clarification on mathematical notation and concepts in a classroom setting.

karush
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View attachment 8834

in (3) they say any polynomial of degree less than 2, yet the example is degree 2 ?

ok this is due tomro, so hopefully I can get a handle on it today

I think this is familiar, just is the notation is stumping me.

really appreciate any insight...

did a screenshot to avoid typos:cool:
 
Last edited:
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We define the application
$T:P_2\rightarrow P_2$
by
$T(p)=2p(x)+xp'(x)+x^2 p''(x)$
Compute
$T(x^2),T(x),T(1) \textit{ and } T(ax^2+bx+c)$

ok if I just plug in then

$T(1)=2(1)+x(1)'+x^2(1)''=2+0+0=0$
$T(x)=2(x)+x(x)'+x^2(x)''=2x+x+0=3x$
$T(x^2)=2(x^2)+x(x^2)'+x^2(x^2)''=2x^2+2x+4$

kinda maybe...
 
$T(1)=2(1)+x(1)'+x^2(1)''=2+0+0=\color{red}{2}$

$T(x^2)=2(x^2)+x(x^2)'+x^2(x^2)''=\color{red}{2(x^2)+x(2x)+x^2(2)=2x^2+2x^2+2x^2=6x^2}$
 
$T(1)=2(1)+x(1)'+x^2(1)''=2+0+0=\color{red}{2}$

$T(x)=2(x)+x(x)'+x^2(x)''=2x+x+0=\color{red}{3x}$

$T(x^2)=2(x^2)+x(x^2)'+x^2(x^2)''=2(x^2)+x(2x)+x^2(2)=2x^2+2x^2+2x^2=\color{red}{6x^2}$

$T(ax^2+bx+c)=2(ax^2+bx+c)+x(ax^2+bx+c)'+x^2(ax^2+bx+c)''$
$=2ax^2+2bx+2c+2ax^2+bx+0+2ax^2+0+0=\color{red}{6ax^2+3bx+2c}$

just seeing if this is launch ready...
 
karush said:
$T(1)=2(1)+x(1)'+x^2(1)''=2+0+0=\color{red}{2}$

$T(x)=2(x)+x(x)'+x^2(x)''=2x+x+0=\color{red}{3x}$

$T(x^2)=2(x^2)+x(x^2)'+x^2(x^2)''=2(x^2)+x(2x)+x^2(2)=2x^2+2x^2+2x^2=\color{red}{6x^2}$

$T(ax^2+bx+c)=2(ax^2+bx+c)+x(ax^2+bx+c)'+x^2(ax^2+bx+c)''$
$=2ax^2+2bx+2c+2ax^2+bx+0+2ax^2+0+0=\color{red}{6ax^2+3bx+2c}$

just seeing if this is launch ready...
Looks good to me!

-Dan
 
ok I think this is the matrix (not sure what $$ T(ax^2+bx+c)$$ would be used for

$\left[\begin{array}{ccc}2&0&0\\0&3&0\\0&0&6 \end{array}\right]$
 
karush said:
ok I think this is the matrix (not sure what $$ T(ax^2+bx+c)$$ would be used for

$\left[\begin{array}{ccc}2&0&0\\0&3&0\\0&0&6 \end{array}\right]$
Okay, so what's next? (Did you do part 2 yet?)

-Dan
 
Show that T is a linear Transformation..
Ok well I presume the next step would be

$$\displaystyle\vec{x}
=\left[\begin{array}{ccc}2\\0\\0 \end{array}\right]
\quad \vec{y}=
=\left[\begin{array}{ccc}0\\3\\0 \end{array}\right]
\quad \vec{z}=
=\left[\begin{array}{ccc}0\\0\\6 \end{array}\right]$$
 
  • #10
for $T(p) = 2p + xp' + x^2p''$ ...

(1) show $T(p_1 + p_2) = T(p_1)+T(p_2)$

$T(p_1+p_2) = 2(p_1 + p_2) + x(p_1+p_2)' + x^2(p_1+p_2)'' = 2p_1+2p_2+xp_1'+xp_2'+x^2p_1''+x^2p_2'' = (2p_1+xp_1'+x^2p_1'')+(2p_2+xp_2'+x^2p_2'') = T(p_1) + T(p_2)$

now, you show part (2) ... that $T(\alpha p) = \alpha T(p)$ for any scalar $\alpha$.
 
  • #11
ok, sorry I had to abandon this one and move on
I was doing fine in this class until I hit this now I'm worried about the rest of it.
 
  • #12
karush said:
ok, sorry I had to abandon this one and move on
I was doing fine in this class until I hit this now I'm worried about the rest of it.
I'm certainly not expert in this topic myself but I think you are giving up too easily. Try to find a simpler example. This isn't too bad but you need to spend some time with the examples to get it down. As all the "advanced" Math that I know uses linear differential operators the time spent will be well worth the effort.

-Dan
 
  • #13
I agree I'm looking at examples now
Have such hard time in class because my hearing is really bad and board is hard to read
so mostly read pdfs and mhb.

W|A and wikipedia are awful to read
 

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