Dot diagrams and Jordan canonical forms

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Homework Help Overview

The discussion revolves around the concept of Jordan canonical forms and their representation through dot diagrams. Participants explore the relationship between the number of dots in rows and columns of these diagrams, particularly focusing on the properties of the lengths of cycles in Jordan blocks.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the definitions and properties of Jordan canonical forms, particularly how they relate to dot diagrams. There is an attempt to prove relationships between the number of dots in rows and columns through induction, with specific focus on the induction step.

Discussion Status

Some participants have made progress in understanding the relationships involved, while others are still grappling with the induction step. There is a mix of exploratory discussion and clarification of concepts, with no explicit consensus reached on the proof structure.

Contextual Notes

The original poster notes the need for familiarity with Jordan canonical forms and the specific properties of dot diagrams as part of the problem context. The discussion includes references to specific examples and the structure of the proof being attempted.

psie
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Homework Statement
Why is the number of dots ##r_i## in row ##i## of a dot diagram given by ##r_i=\max\{j:p_j\geq i\}##, where ##p_j## are the number of dots in column ##j##?
Relevant Equations
Some familiarity with Jordan canonical forms is required I think. I'll try to explain the rest below.
We know that a Jordan canonical form is simply the matrix representation of an operator (whose characteristic polynomial splits) with respect to a special basis called a Jordan canonical basis. This basis consists of a disjoint union of cycles/chains of generalized eigenvectors. Take all the ##n## cycles that correspond to a certain eigenvalue ##\lambda## and take their union, which we denote ##\gamma=\gamma_1\cup\gamma_2\cup\cdots\cup\gamma_n##. Note that ##\gamma_i## may have different lengths ##p_1,p_2,\ldots,p_n##. To be concrete, suppose ##n=3## and ##p_1=3, p_2=2## and ##p_3=1##. Then \begin{align*}\gamma_1&=\{(T-\lambda I)^{2}(v_1),(T-\lambda I)(v_1),v_1\};\\ \gamma_2&=\{(T-\lambda I)(v_2),v_2\};\\ \gamma_n&=\{v_3\}.\end{align*} Then the matrix representation of ##T## restricted to ##\operatorname{span}(\gamma)## is a so-called Jordan block. We can visualize a Jordan block with the help of a dot diagram as follows: $$\begin{array}{ccc}\bullet&\bullet&\bullet \\ \bullet&\bullet&\\ \bullet \end{array}$$Here the first dots in the first row are the initial vectors in the cycle; thus the bottom dots in each column are ##v_1,v_2,v_3##, from left to right respectively. Dot diagrams are always ordered in decreasing lengths of cycle going from left to right.

Suppose now a dot diagram has ##k## columns and ##m## rows, with ##p_j## dots in column ##j## and ##r_i## dots in row ##i##. I need to show by induction on ##m=p_1## that ##p_j=\max\{i:r_i\geq j\}## for ##1\leq j\leq k## and ##r_i=\max\{j:p_j\geq i\}## for ##1\leq i\leq m##. The induction step is causing me great trouble (the base case I think I manage by myself). Any help would be very appreciated.
 
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I get it now I think. We have a dot at ##(i,j)## if and only if ##p_j\geq i## and ##r_i\geq j##.
 
For the sake of math trivia, a matrix with a non-trivial Jordan block is an (counter) example of a matrix that can't be diagonalized; not even over ##\mathbb C ##
 
psie said:
Homework Statement: Why is the number of dots ##r_i## in row ##i## of a dot diagram given by ##r_i=\max\{j:p_j\geq i\}##, where ##p_j## are the number of dots in column ##j##?
Relevant Equations: Some familiarity with Jordan canonical forms is required I think. I'll try to explain the rest below.

We know that a Jordan canonical form is simply the matrix representation of an operator (whose characteristic polynomial splits) with respect to a special basis called a Jordan canonical basis. This basis consists of a disjoint union of cycles/chains of generalized eigenvectors. Take all the ##n## cycles that correspond to a certain eigenvalue ##\lambda## and take their union, which we denote ##\gamma=\gamma_1\cup\gamma_2\cup\cdots\cup\gamma_n##. Note that ##\gamma_i## may have different lengths ##p_1,p_2,\ldots,p_n##. To be concrete, suppose ##n=3## and ##p_1=3, p_2=2## and ##p_3=1##. Then \begin{align*}\gamma_1&=\{(T-\lambda I)^{2}(v_1),(T-\lambda I)(v_1),v_1\};\\ \gamma_2&=\{(T-\lambda I)(v_2),v_2\};\\ \gamma_n&=\{v_3\}.\end{align*} Then the matrix representation of ##T## restricted to ##\operatorname{span}(\gamma)## is a so-called Jordan block. We can visualize a Jordan block with the help of a dot diagram as follows: $$\begin{array}{ccc}\bullet&\bullet&\bullet \\ \bullet&\bullet&\\ \bullet \end{array}$$Here the first dots in the first row are the initial vectors in the cycle; thus the bottom dots in each column are ##v_1,v_2,v_3##, from left to right respectively. Dot diagrams are always ordered in decreasing lengths of cycle going from left to right.

Suppose now a dot diagram has ##k## columns and ##m## rows, with ##p_j## dots in column ##j## and ##r_i## dots in row ##i##. I need to show by induction on ##m=p_1## that ##p_j=\max\{i:r_i\geq j\}## for ##1\leq j\leq k## and ##r_i=\max\{j:p_j\geq i\}## for ##1\leq i\leq m##. The induction step is causing me great trouble (the base case I think I manage by myself). Any help would be very appreciated.

"The highest-numbered column tall enough to reach row i is max{j : p_j ≥ i}"

If column heights are [4, 3, 3, 1]:

Row 3 gets dots from columns with height ≥ 3
That's columns 1, 2, and 3 (but not 4, since p₄ = 1 < 3)
So r₃ = 3 = max{j : p_j ≥ 3}
The botton line is - r_i counts how many columns are tall enough to reach row i, which is exactly max{j : p_j ≥ i}.
 

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