GATE XH study materials
GATE XH study resources

GATE XH key terms

GATE XH · Get comfortable with the vocabulary.

Thermodynamic Entropy

A state function measuring how energy disperses among microscopic arrangements at a given temperature. In an isolated system it never decreases, bounding the efficiency of heat engines and chemical reactions.

Related: Gibbs Free Energy, Carnot Efficiency
Gibbs Free Energy

A thermodynamic potential combining enthalpy and entropy, G = H − TS. Its decrease at constant temperature and pressure gives the maximum non-expansion work a process can deliver, and its sign predicts spontaneity.

Related: Thermodynamic Entropy, Chemical Equilibrium Constant
Carnot Efficiency

The maximum fraction of heat convertible to work by any engine operating between two reservoirs, equal to 1 − Tc/Th with absolute temperatures. It sets an unattainable upper bound for real cycles.

Related: Thermodynamic Entropy
Chemical Equilibrium Constant

The ratio of product to reactant activities at equilibrium, each raised to its stoichiometric coefficient. Its value at a given temperature follows from the standard Gibbs free energy change of reaction.

Related: Gibbs Free Energy, Le Chatelier Principle
Le Chatelier Principle

A rule stating that a system at equilibrium shifts to oppose an imposed change in concentration, pressure, or temperature. It qualitatively predicts the direction, though not the magnitude, of the resulting adjustment.

Related: Chemical Equilibrium Constant
First Law of Thermodynamics

Energy conservation applied to thermodynamic systems: the heat added to a system equals the work it performs plus the change in its internal energy. It defines internal energy as a state function.

Related: Thermodynamic Entropy, Enthalpy
Enthalpy

A state function defined as H = U + PV, useful because at constant pressure its change equals the heat exchanged. It is the natural energy measure for open processes such as combustion and phase change.

Related: First Law of Thermodynamics, Gibbs Free Energy
Eigenvalue and Eigenvector

For a square matrix, a nonzero vector that the matrix merely scales, with the scaling factor called the eigenvalue. They reveal principal directions, stability, and vibrational modes of linear systems.

Related: Singular Value Decomposition, Characteristic Equation
Singular Value Decomposition

A factorisation of any rectangular matrix into rotation, diagonal scaling, and rotation. The diagonal entries are non-negative singular values whose squares give the eigenvalues of the matrix times its transpose.

Related: Eigenvalue and Eigenvector, Matrix Rank
Matrix Rank

The dimension of the vector space spanned by a matrix's columns, equal to the number of independent rows. It determines whether a linear system has a unique, infinite, or no solution.

Related: Singular Value Decomposition, Gaussian Elimination
Gaussian Elimination

An algorithm that reduces a linear system to row echelon form using elementary row operations. It yields solutions, rank, and determinant sign, and is the basis of LU decomposition.

Related: Matrix Rank
Characteristic Equation

The polynomial equation det(A − λI) = 0 whose roots are the eigenvalues of a square matrix. Its coefficients relate to trace and determinant through symmetric functions.

Related: Eigenvalue and Eigenvector
Central Limit Theorem

A result stating that sums or averages of many independent, identically distributed random variables approach a normal distribution as sample size grows, regardless of the underlying distribution's shape.

Related: Standard Error, Confidence Interval
Standard Error

The standard deviation of a sample statistic's sampling distribution, commonly estimated as s/√n for a mean. It quantifies how much an estimate would vary across repeated samples.

Related: Central Limit Theorem, Confidence Interval
Confidence Interval

A range of plausible values for an unknown parameter, constructed so that a stated proportion of such intervals would contain the true value under repeated sampling. Width shrinks with larger samples.

Related: Standard Error, Hypothesis Test
Hypothesis Test

A procedure comparing observed data against a null model by computing a test statistic and a p-value. A small p-value indicates data inconsistent with the null hypothesis.

Related: Confidence Interval, Type I and Type II Error
Type I and Type II Error

A Type I error rejects a true null hypothesis, while a Type II error fails to reject a false one. Their probabilities trade off against each other for a fixed sample size.

Related: Hypothesis Test, Statistical Power
Statistical Power

The probability that a test correctly rejects a false null hypothesis, equal to one minus the Type II error rate. It increases with larger effect size, larger samples, and lower noise.

Related: Type I and Type II Error
Fourier Transform

An integral operation converting a function of time or space into its frequency spectrum. It decomposes signals into sinusoidal components and underlies filtering, imaging, and spectral analysis.

Related: Nyquist Criterion, Convolution
Nyquist Criterion

A sampling rule requiring at least two samples per period of the highest frequency present, otherwise aliasing occurs. It also names a stability criterion for feedback loops in control theory.

Related: Fourier Transform
Convolution

An operation combining two functions to produce a third, representing how one modifies the other across a shift. In linear systems the output equals the input convolved with the impulse response.

Related: Fourier Transform, Transfer Function
Transfer Function

The ratio of output to input in the Laplace or frequency domain for a linear, time-invariant system under zero initial conditions. Its poles and zeros determine stability and dynamic response.

Related: Convolution, Bode Plot
Bode Plot

A pair of graphs showing a system's magnitude and phase response against logarithmic frequency. Gain margin and phase margin read from it indicate closed-loop stability.

Related: Transfer Function, Nyquist Criterion
Stress and Strain

Stress is internal force per unit area within a material; strain is the resulting fractional deformation. Their relationship, linear in the elastic regime, defines a material's stiffness.

Related: Young's Modulus, Poisson Ratio
Young's Modulus

The slope of the linear elastic portion of a stress–strain curve in tension or compression. It measures a material's resistance to elastic axial deformation.

Related: Stress and Strain, Yield Strength
Yield Strength

The stress at which a material begins permanent plastic deformation, often reported as the 0.2 percent offset proof stress. Beyond it, unloading leaves residual strain.

Related: Young's Modulus, Stress and Strain
Poisson Ratio

The negative ratio of transverse contraction to axial extension in a uniaxially loaded elastic material. Typical metals lie near 0.3; auxetic materials show negative values.

Related: Stress and Strain, Young's Modulus
Moment of Inertia

For a cross-section, the second moment of area about an axis that measures resistance to bending; for a rotating body, resistance to angular acceleration. Both depend on axis choice.

Related: Bending Stress
Bending Stress

Normal stress in a beam computed as My/I, where M is bending moment, y distance from the neutral axis, and I the second moment of area. It varies linearly across the section depth.

Related: Moment of Inertia
Reynolds Number

A dimensionless ratio of inertial to viscous forces in fluid flow, equal to ρVD/μ. Low values indicate laminar flow, high values turbulent flow, with transition around a geometry-specific threshold.

Related: Bernoulli Equation, Boundary Layer
Bernoulli Equation

A statement of energy conservation along a streamline for steady, inviscid, incompressible flow: pressure plus kinetic and potential energy terms remain constant. It links speed and pressure.

Related: Reynolds Number, Continuity Equation
Continuity Equation

A conservation statement that mass entering a control volume equals mass leaving plus accumulation. For steady incompressible flow it reduces to constant area times velocity along a streamtube.

Related: Bernoulli Equation
Boundary Layer

The thin region near a solid surface where velocity rises from zero at the wall to the free-stream value. Its thickness and separation govern drag and lift.

Related: Reynolds Number
Carnot Cycle

An ideal reversible cycle of two isothermal and two adiabatic processes operating between hot and cold reservoirs. It establishes the maximum possible thermal efficiency for given temperatures.

Related: Carnot Efficiency, Thermodynamic Entropy
Big-O Notation

A notation describing an asymptotic upper bound on an algorithm's growth rate in time or space. It abstracts away constants and lower-order terms to compare scalability.

Related: Algorithm Complexity
Algorithm Complexity

A characterisation of how an algorithm's resource use grows with input size, usually expressed in asymptotic notation for best, average, or worst cases. It guides algorithm selection at scale.

Related: Big-O Notation
Normalisation

In relational databases, organising tables to remove redundancy and update anomalies by satisfying successive normal forms based on functional dependencies. It trades some query joins for integrity.

Related: ACID Properties
ACID Properties

Four guarantees for database transactions: atomicity, consistency, isolation, and durability. Together they ensure that concurrent failures cannot leave partially applied or corrupted state.

Related: Normalisation
Binary Search Tree

A binary tree where each node's key exceeds all keys in its left subtree and is less than all in its right subtree. Balanced variants give logarithmic search, insertion, and deletion.

Related: Big-O Notation