Cramer's Rule (Solving System of Linear Equation)

Duration: 4 min

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Module outline

  1. Aptitude: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Percentage, Average, Powers and Exponents (Surds and Indices), Algebra, Probability, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Pipe and Cistern, TCS NQT Advanced Quantitative Ability, Speed Mathematics and Basic Mathematics, Arithmetic, Statistics, Partnership, Age Problems, Mental Ability, Mensuration and Geometry, Linear Algebra, Calculus, Trigonometry, Vectors, Gamified / Game Based Aptitude
  2. Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Syllogisms, TCS NQT Advanced Reasoning Ability, Ranking, Order and Sequence, Analogy, Inequality, Data Arrangement, Venn Diagram, Logical Sequence Of Words, Selection Decision Table (Decision Making), Cubes & Dices, Clock, Calendar, Puzzle Solving (Puzzles), Analytical Reasoning (Counting Figures Reasoning), Directions (Direction Test), Blood Relations, Seating Arrangements
  3. Verbal Ability (English): Vocabulary, Noun, Subject Verb Agreement (Verb Noun Agreement), Adjectives, Tenses, Pronoun, Preposition, Articles, Direct and Indirect Speech, Conjunction, Modals, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Verbal Analogy (Word Based Analogy), Sentence Construction, Active Passive Voice (Voice), Determiner, Facts, Inference and Judgements, Adverb, Verb
  4. Mega Test:
  5. Grand Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a detailed lecture on Cramer's Rule within the context of Linear Algebra. It opens with a visual aid displaying the determinant formulas for 2x2 and 3x3 matrices. The instructor, Yash Jain, then transitions to a whiteboard to solve a specific system of three linear equations: x + 3y - 8z = 5, 3x + 5y + 6z = 7, and 2x + 4y + 3z = 8. He methodically demonstrates how to construct the determinants for each variable. For x, he replaces the first column of coefficients with the constants column. For y, he replaces the second column. He explicitly writes out the fraction notation, showing the common denominator determinant formed by the original coefficients.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The session begins with a title slide reviewing determinant calculations. The instructor then writes a system of equations on the board: x + 3y - 8z = 5, 3x + 5y + 6z = 7, and 2x + 4y + 3z = 8. He explains the process for finding x by drawing a matrix where the first column (coefficients of x) is swapped with the constants column (5, 7, 8). He writes the formula x = det(Ax) / det(A). Next, he sets up the determinant for y by replacing the second column (coefficients of y) with the constants. The board clearly shows the numerator matrices for x and y alongside the common denominator matrix.

  2. 2:00 – 3:35 02:00-03:35

    The instructor completes the visual setup by constructing the determinant for z, replacing the third column with the constants vector. He then writes a critical note on the right side of the board labeled 'Not recommended.' He lists two specific reasons: solving so many determinants consumes significant time, and the chances of calculation errors increase with each step. He advises that this method is only recommended if the problem asks to find a single variable (x, y, or z) rather than the entire solution set. He circles the common denominator determinant to emphasize that it is calculated once for all variables, reinforcing the structure of the rule.

This lesson provides a comprehensive walkthrough of Cramer's Rule, moving from basic determinant definitions to a full system of equations. The instructor visually demonstrates the column replacement technique for variables x, y, and z. Crucially, the lecture includes a practical evaluation of the method's efficiency, warning students about the computational cost and error potential. This balanced approach ensures students understand both the mechanical application and the strategic limitations of Cramer's Rule in linear algebra problems.

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