Dot diagrams and Jordan canonical forms

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Jordan canonical forms represent operators with a specific basis of generalized eigenvectors, organized into cycles of varying lengths. Each cycle corresponds to an eigenvalue and contributes to the structure of a Jordan block, which can be visualized using dot diagrams. The discussion focuses on proving relationships between the number of dots in rows and columns of these diagrams, specifically that the number of dots in row i is given by the maximum column index j where the column height is at least i. The induction step highlights that the number of columns reaching a certain row directly correlates with the maximum index of columns meeting height criteria. Understanding these relationships is crucial for grasping the properties of matrices with non-trivial Jordan blocks.
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}.
 
First, I tried to show that ##f_n## converges uniformly on ##[0,2\pi]##, which is true since ##f_n \rightarrow 0## for ##n \rightarrow \infty## and ##\sigma_n=\mathrm{sup}\left| \frac{\sin\left(\frac{n^2}{n+\frac 15}x\right)}{n^{x^2-3x+3}} \right| \leq \frac{1}{|n^{x^2-3x+3}|} \leq \frac{1}{n^{\frac 34}}\rightarrow 0##. I can't use neither Leibnitz's test nor Abel's test. For Dirichlet's test I would need to show, that ##\sin\left(\frac{n^2}{n+\frac 15}x \right)## has partialy bounded sums...