Skip to content

Bhbbbbb's Notes

Wronskian

Type to start searching

bhbbbbb/obsidian-publish

1
0

Bhbbbbb's Notes

bhbbbbb/obsidian-publish

1
0

Obsidian Notes
About Me
Data Compression
Linear Algebra
Test
Control Engineering
Control Engineering
- Mid1
- Mid2
- Examples
  Examples
  - Masion rule examples
DBMS
DBMS
- Mid1
- Mid2
Data Compression
Data Compression
- DataCompression
Electromagnetics
Electromagnetics
Electronics
Electronics
- Feedback
- Ouput Stage
Engineering Math
Engineering Math
- 1stODE
- Fourier Integral
- Fourier Series
- Fourier Transform
- Heat Equation
- Higher Order DE
- Laplace Transform
- Potential Equation
- Series Solution
- Special Functions
- Sturm-Liouville problem
- Wave Equation
- Minority
  Minority
  - Homogeneous Function
  - IVP
  - Proof to Modified EE
  - Step Function
  - Wronskian Wronskian
    Table of contents
    
    Wronskian
  - Proof2
Linear Algebra
Linear Algebra
- Linear Algebra
Machine Learning
Machine Learning
- MPPP
- Machine Learning
- PCA
- Cheat
- Consistency
- Pylint
OS
OS
- Mid1
- Mid2
- Mid3
Probability & Statistics
Probability & Statistics
- Distributions
- Mid

Table of contents

Wronskian

Wronskian

Wronskian¶

\begin{matrix} W (y_{1}, y_{2}, \dots, y_{n}) = d e t [\begin{matrix} y_{1} & y_{2} & \dots & y_{n} \\ y_{1}^{'} & y_{2}^{'} & \dots & y_{n}^{'} \\ ⋮ & ⋮ & ⋱ & ⋮ \\ y_{1}^{(n - 1)} & y_{2}^{(n - 1)} & \dots & y_{n}^{(n - 1)} \end{matrix}] \end{matrix}

W \neq 0 \to linearly independent

Previous Step Function

Made with Material for MkDocs