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Question
যে সরলরেখা অক্ষদ্বয়কে (1,1) বিন্দুতে সমদ্বিখন্ডিত করে তার সমীকরণ কোনটি?
x +y = 2
x +y = 1
x -y = 2
x - y = 1
ANSWER : 1
Descrption
<p>দুই বিন্দুগামী সরলরেখার সমীকরণ</p><p>=> <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mi mathvariant="normal">x</mi><mo>-</mo><msub><mi mathvariant="normal">x</mi><mn>1</mn></msub></mrow><mrow><msub><mi mathvariant="normal">x</mi><mn>1</mn></msub><mo>-</mo><msub><mi mathvariant="normal">x</mi><mn>2</mn></msub></mrow></mfrac><mo>=</mo><mfrac><mrow><mi mathvariant="normal">y</mi><mo>-</mo><msub><mi mathvariant="normal">y</mi><mn>1</mn></msub></mrow><mrow><msub><mi mathvariant="normal">y</mi><mn>1</mn></msub><mo>-</mo><msub><mi mathvariant="normal">y</mi><mn>2</mn></msub></mrow></mfrac></math></p><p>=> <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mi mathvariant="normal">x</mi><mo>-</mo><mn>2</mn></mrow><mrow><mn>2</mn><mo>-</mo><mn>0</mn></mrow></mfrac><mo>=</mo><mfrac><mrow><mi mathvariant="normal">y</mi><mo>-</mo><mn>0</mn></mrow><mrow><mn>0</mn><mo>-</mo><mn>2</mn></mrow></mfrac></math></p><p>=> <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>-</mo><mn>2</mn><mi mathvariant="normal">x</mi><mo>+</mo><mn>4</mn><mo>=</mo><mn>2</mn><mi mathvariant="normal">y</mi></math></p><p>=> <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi mathvariant="normal">x</mi><mo>+</mo><mi mathvariant="normal">y</mi><mo>=</mo><mn>2</mn></math> (Ans)</p><figure class="image"><img src="data:image/png;base64,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"></figure>
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